def _init_arguments(self) -> dict:
"""define class specfic data here when inherting"""
min_vol = 0.4
max_vol = 1
return {
"volume_curve":
infit.Cycle((
interpolations.FallingRising(min_vol, max_vol),
interpolations.FallingRising(min_vol, max_vol),
interpolations.Falling(min_vol, max_vol),
interpolations.RisingFalling(min_vol, max_vol),
interpolations.Rising(min_vol, max_vol),
interpolations.FallingRising(min_vol, max_vol),
)),
"osc_noise_volume":
infit.Uniform(30, 64),
"osc_mix":
infit.Value(infit.Gaussian(70, 5)),
"osc_tune_mod_depth2":
infit.Value(infit.Gaussian(0, 1)),
"vcf1_freq_mod_depth":
infit.Uniform(0, 10),
"vcf1_filter_fm":
infit.Cycle((
0,
interpolations.Rising(0, 4),
interpolations.FallingRising(-4, 4),
interpolations.Falling(0, 4),
0,
interpolations.RisingFalling(0, 4),
interpolations.Falling(-4, 0),
interpolations.Rising(-4, 0),
)),
}
def mk_super_dreamy_pte(
preset: str = __STANDARD_PRESET,
fxp: str = __STANDARD_FXP,
sustain_pedal: int = 1,
*args,
**kwargs,
) -> type:
return mk_pianoteq_engine(
preset=preset,
fxp=fxp,
parameter_non_dissonant_pitches={
"impedance": infit.Uniform(2.5, 3),
"cutoff": infit.Uniform(2.5, 3, seed=2),
"q_factor": infit.Uniform(0.2, 0.4, seed=2),
"direct_sound_duration": infit.Uniform(4, 5, seed=3),
"string_length": infit.Uniform(8, 10),
"sympathetic_resonance": infit.Uniform(2, 5),
"hammer_noise": infit.Uniform(0.2, 1.0, seed=10),
"sustain_pedal": sustain_pedal,
"hammer_hard_piano": 0.3,
"hammer_hard_mezzo": 0.55,
"hammer_hard_forte": 0.785,
"strike_point": infit.Uniform(1 / 64, 1 / 8),
"pinch_harmonic_pedal": 0,
"buff_stop_pedal": 0,
"sound_speed": infit.Uniform(200, 500),
"blooming_energy": infit.Uniform(1.55, 2),
"blooming_inertia": infit.Uniform(1.55, 2.8),
},
parameter_dissonant_pitches={
"impedance": infit.Uniform(2.2, 2.75),
"cutoff": infit.Uniform(2, 2.5, seed=2),
"q_factor": infit.Uniform(0.2, 1),
"string_length": infit.Uniform(4, 7),
"direct_sound_duration": infit.Uniform(2, 4, seed=3),
"hammer_hard_piano": 0.3,
"hammer_hard_mezzo": 0.4,
"hammer_hard_forte": 0.6,
"sustain_pedal": sustain_pedal,
"sound_speed": infit.Uniform(200, 500),
"sympathetic_resonance": infit.Uniform(1, 2),
"pinch_harmonic_pedal": infit.Cycle((1, 0, 1)),
"buff_stop_pedal": infit.Cycle((0, 1, 0, 1, 0)),
"strike_point": infit.Uniform(1 / 64, 1 / 32),
"hammer_noise": infit.Uniform(0.65, 1.25, seed=1000),
"blooming_energy": 0,
},
*args,
**kwargs,
)
def __init__(
self,
# the higher the number the higher the chance there will be a glissando if
# possible
activity_lv: int = 8,
# 0 for glissando at the beginning, 1 for glissando at the end, 2 for glissando at
# the beginning and at the end
glissando_type_generator: infit.InfIt = infit.Cycle(
(0, 1, 2, 0, 1, 0, 1, 2, 1, 0, 2, 0, 1)),
# glissando duration in seconds
minima_glissando_duration: float = 0.125,
maxima_glissando_duration: float = 0.25,
# glissando size in cents
minima_glissando_size: float = 30,
maxima_glissando_size: float = 120,
seed: int = 10,
):
self.__glissando_type_generator = glissando_type_generator
self.__al = infit.ActivityLevel(activity_lv)
self.__minima_gissando_duration = minima_glissando_duration
self.__maxima_glissando_duration = maxima_glissando_duration
self.__minima_gissando_size = minima_glissando_size
self.__maxima_glissando_size = maxima_glissando_size
import random
random.seed(seed)
self.__random_module = random
def __init__(
self,
strings: tuple,
midi_synth: midi.MidiSynth,
spat_maker: spat.BalancedSpatMaker,
n_voices: int = 4,
):
super().__init__()
self._mixer = pyo.Mixer(outs=4, chnls=1, time=0.025)
self._markov_chains = self._make_markov_chains()
self._midi_synth = midi_synth
self.strings = strings
self._generators = [GenderGenerator() for _ in range(n_voices)]
self._generator_idx_cycle = infit.Cycle(range(n_voices))
self._spatialised_generators = [
spat_maker.make_spatialised_signal(gen, n_voices=4)
for gen in self._generators
]
self._summed_generators = sum(self._spatialised_generators)
self._previous_played_pitches = collections.deque([], maxlen=15)
self._trig_func = pyo.TrigFunc(
tuple(self.strings.values())[0].attack_detector, self.trigger_events
)
self._trig_func.stop()
self._add_summed_generators_to_mixer()
class TransducerSynth(PolySynth):
# repeating sine wave
_available_types_infit = infit.Cycle((0, ))
_midi_note2frequency = {
mn: freq_and_instrument[0]
for mn, freq_and_instrument in
MIDI_NOTE2FREQ_AND_INSTRUMENT_MAPPING.items()
}
_midi_note2channel = {
mn:
settings.SINE_MIXER_INSTRUMENT2CHANNEL_MAPPING[freq_and_instrument[1]]
for mn, freq_and_instrument in
MIDI_NOTE2FREQ_AND_INSTRUMENT_MAPPING.items()
}
_nchnls_per_generator = 3
_generator_class = TransducerSynthGenerator
def out(self, midi_note: int, velocity: float) -> None:
nth_voice = next(self._voice_cycle)
self.generators[nth_voice].out(
midi_note,
velocity,
next(self._available_types_infit),
self._midi_note2frequency[midi_note],
self._midi_note2channel[midi_note],
)
def _play(
self,
tempo: float = 40,
rhythm_cycle: infit.InfIt = infit.Cycle((0,)),
n_attackes_per_trigger_maker: infit.InfIt = infit.Cycle((1,)),
allowed_register: tuple = (-1, 0, 1),
allowed_soundgenerator: tuple = ("gender",),
fadeout_maker: infit.InfIt = infit.Cycle((1,)),
amp_maker: infit.InfIt = infit.Uniform(0.5, 1),
find_pitches_within_the_last_n_seconds: float = 3,
instruments_to_analyse: tuple = ("violin", "viola", "cello"),
# onset detector arguments
deltime: float = 0.005,
cutoff: float = 70,
maxthresh: float = 3,
minthresh: float = -20,
reltime: float = 0.15,
):
self._stop()
# override previous attributes
self.rhythm_cycle = rhythm_cycle
self.n_attackes_per_trigger_maker = n_attackes_per_trigger_maker
self.allowed_register = allowed_register
self.allowed_soundgenerator = allowed_soundgenerator
self.fadeout_maker = fadeout_maker
self.amp_maker = amp_maker
self.find_pitches_within_the_last_n_seconds = (
find_pitches_within_the_last_n_seconds
)
# configure & collect onset detector
trigger_signals = []
for string_name, string_object in self.strings.items():
if string_name in instruments_to_analyse:
string_object.attack_detector.deltime = deltime
string_object.attack_detector.cutoff = cutoff
string_object.attack_detector.maxthresh = maxthresh
string_object.attack_detector.minthresh = minthresh
string_object.attack_detector.play()
trigger_signals.append(string_object.attack_detector)
# start function for triggering new samples
self._trig_func.input = trigger_signals
self._trig_func.play()
def _init_arguments(self) -> dict:
"""define class specfic data here when inherting"""
return {
"volume_curve":
infit.Cycle((
interpolations.Rising(),
interpolations.FallingRising(),
interpolations.Falling(),
interpolations.RisingFalling(),
)),
"osc_noise_volume":
infit.Uniform(0, 25),
"osc_mix":
infit.Value(infit.Gaussian(50, 25)),
"osc_tune_mod_depth2":
infit.Cycle((
interpolations.Rising(0, 2),
interpolations.Falling(-2, 2),
infit.Gaussian(0, 1.5),
interpolations.RisingFalling(-2, 2),
interpolations.Falling(0, 2),
0,
interpolations.Rising(0, 1),
infit.Uniform(-1, 1),
interpolations.RisingFalling(-1, 1.5),
interpolations.Falling(-2, -1),
interpolations.Rising(-1, 0),
0,
infit.Gaussian(0, 2),
)),
"vcf1_freq_mod_depth":
infit.Uniform(0, 30),
"vcf1_filter_fm":
infit.Cycle((
0,
interpolations.Rising(0, 10),
interpolations.FallingRising(-10, 10),
interpolations.Falling(0, 10),
0,
interpolations.RisingFalling(0, 10),
interpolations.Falling(-10, 0),
interpolations.Rising(-10, 0),
)),
}
def mk_super_soft_leading_pte(
preset: str = __STANDARD_PRESET,
fxp: str = __STANDARD_FXP,
sustain_pedal: int = 1,
*args,
**kwargs,
) -> type:
# stronger attack for leading melody
return mk_pianoteq_engine(
preset=preset,
fxp=fxp,
parameter_non_dissonant_pitches={
"impedance": infit.Uniform(1.9, 2.3),
"cutoff": infit.Uniform(2.3, 2.6, seed=2),
"q_factor": infit.Uniform(0.3, 0.6, seed=2),
"direct_sound_duration": infit.Uniform(4, 5, seed=3),
"string_length": infit.Uniform(8, 10),
"sympathetic_resonance": infit.Uniform(2, 5),
"hammer_noise": infit.Uniform(1.2, 2, seed=10),
"sustain_pedal": sustain_pedal,
"hammer_hard_piano": infit.Uniform(0.14, 0.2),
"hammer_hard_mezzo": infit.Uniform(0.24, 0.3),
"hammer_hard_forte": infit.Uniform(0.34, 0.43),
"strike_point": infit.Uniform(1 / 64, 1 / 8),
"pinch_harmonic_pedal": 1,
"buff_stop_pedal": infit.Cycle((0, 1, 1, 0, 1)),
"sound_speed": infit.Uniform(200, 500),
"blooming_energy": infit.Uniform(1.55, 2),
"blooming_inertia": infit.Uniform(1.55, 2.8),
"celeste_pedal": 1,
"soft_pedal": 1,
},
parameter_dissonant_pitches={
"impedance": infit.Uniform(1.9, 2.3),
"cutoff": infit.Uniform(2.3, 2.6, seed=2),
"q_factor": infit.Uniform(0.3, 0.6, seed=2),
"direct_sound_duration": infit.Uniform(4, 5, seed=3),
"string_length": infit.Uniform(8, 10),
"sympathetic_resonance": infit.Uniform(2, 5),
"hammer_noise": infit.Uniform(0.2, 0.5, seed=10),
"sustain_pedal": sustain_pedal,
"hammer_hard_piano": infit.Uniform(0.08, 0.12),
"hammer_hard_mezzo": infit.Uniform(0.12, 0.23),
"hammer_hard_forte": infit.Uniform(0.24, 0.33),
"strike_point": infit.Uniform(1 / 64, 1 / 8),
"pinch_harmonic_pedal": 1,
"buff_stop_pedal": 1,
"sound_speed": infit.Uniform(200, 500),
"celeste_pedal": 1,
"soft_pedal": 1,
},
*args,
**kwargs,
)
def _make_messages(self, sequence: tuple) -> tuple:
messages = []
channel_cycle = infit.Cycle(self.available_channel)
for tone in sequence:
if tone.pitch.is_empty:
messages.append(self._make_empty_msg(tone))
else:
messages.extend(
self._make_messages_for_one_tone(tone,
next(channel_cycle)))
return tuple(messages)
class GenderGenerator(pyo.TableRead, metaclass=midi._GongSamplerMetaClass):
_path = "samples/gender/adapted"
pitch_per_idx = tuple(ji.JIMel.load_json("{}/idx2pitch.json".format(_path)))
_start_at_cycle = infit.Cycle(range(3))
_is_inverse_cycle = infit.Cycle((False, True))
def __init__(self):
self.fader = pyo.Fader(fadein=0.001, fadeout=0.1)
super().__init__(self.snd_tables[0][0], mul=self.fader)
self._left_right_cycle_per_sample = [
infit.ActivityLevel(
5,
start_at=next(self._start_at_cycle),
is_inverse=next(self._is_inverse_cycle),
)
for _ in self.snd_tables
]
def get_nth_snd_table(self, idx: int):
return self.snd_tables[idx][next(self._left_right_cycle_per_sample[idx])]
def play(self, pitch: ji.JIPitch, fadeout_time: float, *args, **kwargs):
new_table = self.get_nth_snd_table(self.pitch_per_idx.index(pitch))
duration = new_table.getDur()
fader_duration = duration * fadeout_time
fadeout_time = 0.1
if fadeout_time > fader_duration:
fadeout_time = fader_duration * 0.9
self.fader.setDur(fader_duration)
self.fader.setFadeout(fadeout_time)
self.fader.play()
self.setTable(new_table)
self.setFreq(new_table.getRate())
return super().play(*args, **kwargs)
class GongSynth(PolySynth):
# alternating between Javanese and Thai Gong samples
_available_types_infit = infit.Cycle((0, 1))
_generator_class = GongSynthGenerator
_nchnls_per_generator = 4
def __init__(self, n_voices: int) -> None:
super().__init__(n_voices)
self.spatialisation_cycle = self._make_spatialisation_cycle()
@staticmethod
def _make_spatialisation_cycle() -> itertools.cycle:
def convert_vector2volume_per_channel(vector: tuple) -> tuple:
n_items = sum(vector)
return tuple(item / n_items for item in vector)
graycode = tools.graycode(4, 2)
combinations_for_left_and_right_channel = tuple(
zip(graycode, graycode[6:]))
spat_cycle = []
for spat_left, spat_right in combinations_for_left_and_right_channel * 2:
# ignore vector (0, 0, 0, 0)
if any(spat_left) and any(spat_right):
spat_cycle.append(
tuple(
convert_vector2volume_per_channel(vec)
for vec in (spat_left, spat_right)))
return itertools.cycle(spat_cycle)
def out(self, midi_note: int, velocity: float) -> None:
voice_idx = next(self._voice_cycle)
self.generators[voice_idx].out(
midi_note,
velocity,
next(self._available_types_infit),
next(self.spatialisation_cycle),
)
def mk_soft_leading_overdrive_harp_pte(
preset: str = __STANDARD_PRESET,
fxp: str = __STANDARD_FXP,
sustain_pedal: int = 1,
*args,
**kwargs,
) -> type:
# stronger attack for leading melody
return mk_pianoteq_engine(
preset=preset,
fxp=fxp,
parameter_non_dissonant_pitches={
"impedance": infit.Uniform(1.2, 1.9),
"cutoff": infit.Uniform(1.8, 2.2, seed=2),
"q_factor": infit.Uniform(0.65, 1.1, seed=2),
"direct_sound_duration": infit.Uniform(2, 4, seed=3),
"string_length": infit.Uniform(8, 10),
"sympathetic_resonance": infit.Uniform(1.5, 3.5),
"hammer_noise": infit.Uniform(1.2, 2.2, seed=10),
"sustain_pedal": sustain_pedal,
"hammer_hard_piano": infit.Uniform(1.24, 1.3),
"hammer_hard_mezzo": infit.Uniform(1.44, 1.6),
"hammer_hard_forte": infit.Uniform(1.6, 1.78),
"strike_point": infit.Uniform(1 / 64, 1 / 8),
"pinch_harmonic_pedal": 0,
"buff_stop_pedal": infit.Cycle((0, 0, 0, 0, 1, 0, 0, 1)),
"sound_speed": infit.Uniform(200, 500),
"blooming_energy": infit.Uniform(0.2, 1),
"blooming_inertia": infit.Uniform(0.15, 0.5),
"celeste_pedal": 1,
"soft_pedal": 1,
"effect1_switch": 1,
"effect1_param1": infit.Uniform(0.7, 0.9),
"effect1_param2": infit.Uniform(0.4, 0.7),
},
parameter_dissonant_pitches={
"impedance": infit.Uniform(1.5, 2.1),
"cutoff": infit.Uniform(2, 2.4, seed=2),
"q_factor": infit.Uniform(0.6, 0.9, seed=2),
"direct_sound_duration": infit.Uniform(2, 4, seed=3),
"string_length": infit.Uniform(8, 10),
"sympathetic_resonance": infit.Uniform(1.5, 3.5),
"hammer_noise": infit.Uniform(1.2, 2.2, seed=10),
"sustain_pedal": sustain_pedal,
"hammer_hard_piano": infit.Uniform(1.14, 1.2),
"hammer_hard_mezzo": infit.Uniform(1.34, 1.4),
"hammer_hard_forte": infit.Uniform(1.5, 1.68),
"strike_point": infit.Uniform(1 / 64, 1 / 8),
"pinch_harmonic_pedal": 1,
"buff_stop_pedal": infit.Cycle((1, 1, 1, 0, 1)),
"sound_speed": infit.Uniform(200, 500),
"blooming_energy": infit.Uniform(1.55, 2),
"blooming_inertia": infit.Uniform(1.55, 2.8),
"celeste_pedal": 1,
"soft_pedal": 1,
"effect1_switch": 1,
"effect1_param1": infit.Uniform(0.7, 1),
"effect1_param2": infit.Uniform(0, 0.2),
},
*args,
**kwargs,
)
),
percussion_engine_per_voice=(
percussion.Rhythmizer(
sample_maker=infit.Cycle(
(
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)),
),
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((0.5, 1, 0.25, 1)),
),
percussion.Sample(
path=infit.Cycle(globals.SAM_KENDANG_HIGH_LOW_FAR_HAND),
frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_HAND.information[
"frequency"
],
pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)),
),
)
),
# likelihood_range=(0.5, 1),
likelihood_range=(1, 0.2),
volume_range=(0.5, 1),
def make(name: str = "ONE", gender=True, group=0, sub_group0=0):
return (
segments.FreeStyleCP(
"{}_3".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(1, 1), ji.r(3, 1), ji.r(5, 4)),
energy_per_voice=(6, 6, 7),
weight_range=(3, 10),
silence_decider_per_voice=(
infit.ActivityLevel(2),
infit.ActivityLevel(1),
infit.ActivityLevel(1),
),
group=(group, sub_group0, 0),
start_harmony=harmony.find_harmony("A", True, 0, tuple([]), gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=12 * 3,
start=0,
metrical_numbers=(12, 12, 12),
dynamic_range_of_voices=(0.1, 0.65),
anticipation_time=1,
overlaying_time=1.55,
cp_add_dissonant_pitches_to_nth_voice=(True, True, True),
cp_constraints_interpolation=[],
glitter_include_dissonant_pitches=False,
pteq_engine_per_voice=(
pteq.mk_dreamy_pte(
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0.1),
),
pteq.mk_dreamy_pte(
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0.1),
),
pteq.mk_dreamy_pte(
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
),
),
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0,),
likelihood_range=(0.1, 0.6),
volume_range=(0.1, 0.8),
ignore_beats_occupied_by_voice=True,
seed=100,
),
percussion.Rhythmizer(
voice_meters2occupy=(2,),
sample_maker=infit.Cycle(
(
percussion.Sample(
path=infit.Cycle(globals.SAM_SPEECH_TIME),
pitch_factor=infit.Uniform(0.9, 1.1),
),
)
),
likelihood_range=(1, 0.2),
volume_range=(0.1, 0.3),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(2,),
sample_maker=infit.Cycle(
(
percussion.Sample(
path=infit.Cycle(globals.SAM_SPEECH_SPACE),
pitch_factor=infit.Uniform(0.9, 1.1),
),
)
),
likelihood_range=(1, 0.2),
volume_range=(0.1, 0.3),
ignore_beats_occupied_by_voice=False,
),
),
include_glitter=True,
include_diva=False,
include_natural_radio=True,
include_percussion=True,
radio_silent_channels=(1, 5),
radio_samples=(
"pbIII/samples/radio/carolina/3.wav",
"pbIII/samples/radio/carolina/1.wav",
),
radio_n_changes=2,
radio_average_volume=0.385,
radio_shadow_time=0.2,
radio_min_volume=0.925,
speech_init_attributes={},
),
)
def main() -> versemaker.Verse:
vm = versemaker.VerseMaker(
59,
1,
tempo_factor=0.32,
octave_of_first_pitch=-1,
harmonic_tolerance=0.8,
ro_temperature=0.712,
ro_density=0.68,
harmonic_pitches_tonality_flux_maximum_octave_difference_from_melody_pitch=(
1,
0,
),
harmonic_pitches_complex_interval_helper_maximum_octave_difference_from_melody_pitch=(
1,
0,
),
area_density_maker=infit.Gaussian(0.5, 0.05),
area_density_reference_size=F(1, 2),
area_min_split_size=F(3, 16),
)
vm.remove_area(0, 1)
vm.attach(
violin=strings.SimpleStringMaker(
globals_.VIOLIN,
pizz_maker=infit.ActivityLevel(5, start_at=0),
tremolo_maker=infit.ActivityLevel(0),
acciaccatura_maker=infit.ActivityLevel(6),
force_acciaccatura_to_glissando_maker=infit.ActivityLevel(0),
acciaccatura_glissando_size_maker=infit.Cycle((0, 1, 0, 0, 1)),
harmonic_pitches_activity=0.6,
harmonic_pitches_density=0.72,
shall_add_optional_pitches=True,
optional_pitches_maximum_octave_difference_from_melody_pitch=(1, 0),
optional_pitches_min_size=F(3, 32),
optional_pitches_avg_size=F(2, 16),
optional_pitches_density=0.7,
after_glissando_size=F(1, 8),
),
viola=strings.SimpleStringMaker(
globals_.VIOLA,
tremolo_maker=infit.ActivityLevel(0),
pizz_maker=infit.ActivityLevel(5, start_at=0),
acciaccatura_maker=infit.ActivityLevel(6, start_at=2),
force_acciaccatura_to_glissando_maker=infit.ActivityLevel(0),
acciaccatura_glissando_size_maker=infit.Cycle((0, 1, 0, 1, 2, 0, 1)),
harmonic_pitches_activity=0.65,
harmonic_pitches_density=0.72,
shall_add_optional_pitches=True,
optional_pitches_maximum_octave_difference_from_melody_pitch=(1, 0),
optional_pitches_min_size=F(3, 32),
optional_pitches_avg_size=F(1, 8),
optional_pitches_density=0.7,
),
cello=strings.SimpleStringMaker(
globals_.CELLO,
tremolo_maker=infit.ActivityLevel(0),
pizz_maker=infit.ActivityLevel(8),
acciaccatura_maker=infit.ActivityLevel(8),
force_acciaccatura_to_glissando_maker=infit.ActivityLevel(0),
acciaccatura_glissando_size_maker=infit.Cycle((0, 1, 0, 1, 1)),
shall_add_optional_pitches=True,
harmonic_pitches_activity=0.69,
harmonic_pitches_density=0.72,
optional_pitches_min_size=F(1, 8),
optional_pitches_avg_size=F(2, 16),
optional_pitches_density=0.9,
),
keyboard=keyboard.KeyboardMaker(
lh_min_metricity_to_add_harmony=0.4,
lh_min_metricity_to_add_accent=1.2,
lh_max_metricity_for_arpeggio=0.35,
lh_min_metricity_to_add_restricted_harmony=0,
lh_prohibit_repetitions=False,
lh_add_repetitions_avoiding_notes=False,
rh_likelihood_making_harmony=1,
harmonies_max_difference=1200,
harmonies_min_difference=250,
colotomic_structure=(0, 1, 1, 1),
),
)
_adapt_violin(vm.violin.musdat[1], vm)
_adapt_viola(vm.viola.musdat[1], vm)
_adapt_cello(vm.cello.musdat[1], vm)
_adapt_keyboard(vm.keyboard.musdat[2], vm.keyboard.musdat[1], vm)
vm.add_bar(5, abjad.TimeSignature((2, 4)))
vm.add_bar(11, abjad.TimeSignature((2, 4)))
vm.add_bar(13, abjad.TimeSignature((1, 4)))
vm.force_remove_area(len(vm.violin.bars) - 1, len(vm.violin.bars))
# second round of postprocessing
_adapt_violin2(vm.violin.musdat[1], vm)
_adapt_viola2(vm.viola.musdat[1], vm)
_adapt_cello2(vm.cello.musdat[1], vm)
_adapt_left2(vm.keyboard.musdat[2], vm)
_adapt_right2(vm.keyboard.musdat[1], vm)
for instr in ("violin", "viola", "cello", "keyboard"):
if instr == "keyboard":
nth_line = (2, 1)
else:
nth_line = (1,)
novent_line = getattr(vm, instr).musdat[nth_line[0]]
novent_line[0].dynamic = attachments.Dynamic("pp")
for string in (vm.violin.musdat[1], vm.viola.musdat[1], vm.cello.musdat[1]):
tw.detach_hauptstimme(string)
verse = vm()
for instr in ("violin", "viola", "cello", "keyboard"):
if instr == "keyboard":
indices = ((1, 0), (1, 1))
else:
indices = ((1,),)
for idx in indices:
staff = getattr(verse, instr).abjad
for subidx in idx:
staff = staff[subidx]
# [bar_idx][event_idx]
# adapting accidental notation of keyboard
if instr == "keyboard" and idx[1] == 0:
abjad.Accidental.respell_with_sharps(staff[1])
abjad.Accidental.respell_with_sharps(staff[2])
abjad.Accidental.respell_with_sharps(staff[3])
# abjad.Accidental.respell_with_sharps(staff[4])
abjad.Accidental.respell_with_sharps(staff[7])
abjad.Accidental.respell_with_flats(staff[8])
abjad.Accidental.respell_with_sharps(staff[15][2:])
abjad.attach(abjad.Tie(), staff[19][1])
abjad.attach(abjad.Tie(), staff[19][2])
elif instr == "keyboard" and idx[1] == 1:
# abjad.Accidental.respell_with_sharps(staff[11])
abjad.Accidental.respell_with_sharps(staff[1])
abjad.Accidental.respell_with_sharps(staff[2])
abjad.Accidental.respell_with_sharps(staff[3])
# abjad.Accidental.respell_with_sharps(staff[4])
# abjad.attach(abjad.Ottava(-1), staff[9][0])
# tw.put_gong_to_separate_vox(9, 0, staff)
elif instr == "violin":
abjad.detach(abjad.Markup, staff[2][2])
abjad.attach(
tw.scpm("arco sul tasto"), staff[2][2],
)
abjad.attach(
tw.scpm("molto sul tasto"), staff[3][2],
)
abjad.attach(abjad.StartHairpin(">"), staff[3][2])
abjad.attach(abjad.Dynamic("ppp"), staff[4][0])
abjad.attach(abjad.Dynamic("pp"), staff[4][1])
abjad.detach(abjad.Markup, staff[5][1])
abjad.attach(
tw.scpm("arco ordinario"), staff[5][1],
)
elif instr == "viola":
abjad.attach(
abjad.StartTextSpan(left_text=abjad.Markup("rit.")), staff[-1][0]
)
abjad.attach(abjad.StopTextSpan(), staff[-1][-1])
abjad.attach(abjad.StartHairpin(">"), staff[-1][0])
abjad.attach(abjad.Dynamic("ppp"), staff[-1][-1])
return verse
def make(name: str = "ONE", gender=True, group=0, sub_group0=0):
return (
segments.FreeStyleCP(
"{}_0".format(name),
ambitus_maker=ambitus.SymmetricalRanges(
ji.r(4, 1), ji.r(12, 5), ji.r(9, 4)
),
group=(group, sub_group0, 0),
start_harmony=harmony.find_harmony("A", True, 0, tuple([]), gender=gender),
energy_per_voice=(5.7, 9, 9),
weight_range=(0.35, 1),
decision_type="random",
gender=gender,
n_bars=2,
duration_per_bar=11,
start=0,
dynamic_range_of_voices=(0.2, 0.6),
anticipation_time=2.75,
overlaying_time=3.25,
cp_add_dissonant_pitches_to_nth_voice=(False, False, False),
cp_constraints_interpolation=[],
glitter_include_dissonant_pitches=False,
pteq_engine_per_voice=(
pteq.mk_dreamy_pte(
empty_attack_dynamic_maker=infit.Value(0),
modulator=(ornamentations.SoftLineGlissandoMaker(),),
# convert_dissonant_tones2glissandi=True,
),
pteq.mk_dreamy_pte(
empty_attack_dynamic_maker=infit.Value(0),
modulator=(ornamentations.SoftLineGlissandoMaker(),),
# convert_dissonant_tones2glissandi=True,
),
pteq.mk_dreamy_pte(
empty_attack_dynamic_maker=infit.Value(0),
modulator=(ornamentations.SoftLineGlissandoMaker(),),
# convert_dissonant_tones2glissandi=True,
),
),
speech_init_attributes={},
include_glitter=True,
include_diva=False,
include_natural_radio=True,
include_percussion=False,
radio_silent_channels=(1, 3, 5),
radio_samples=(
"pbIII/samples/radio/carolina/3.wav",
"pbIII/samples/radio/carolina/1.wav",
),
radio_n_changes=1,
radio_average_volume=0.385,
radio_shadow_time=0.2,
radio_min_volume=0.925,
),
segments.DensityBasedThreeVoiceCP(
"{}_1".format(name),
ambitus_maker=ambitus.SymmetricalRanges(
ji.r(16, 5), ji.r(5, 2), ji.r(8, 5)
),
group=(group, sub_group0, 1),
start_harmony=harmony.find_harmony("A", True, 0, (0,), gender=gender),
density_per_voice=(0, 0.6, 0.6),
gender=gender,
n_bars=1,
duration_per_bar=10,
start=1.25,
dynamic_range_of_voices=(0.15, 0.45),
anticipation_time=1.5,
overlaying_time=1.5,
cp_constraints_harmonic=(
counterpoint.constraints.HR_forbid_too_empty_harmonies(1, [0]),
),
cp_constraints_interpolation=[],
# cp_add_dissonant_pitches_to_nth_voice=(False, False, False),
cp_add_dissonant_pitches_to_nth_voice=(True, True, True),
pteq_engine_per_voice=(
pteq.mk_super_dreamy_pte(
empty_attack_dynamic_maker=infit.Value(0),
modulator=(
ornamentations.SoftLineGlissandoMaker(
maxima_glissando_duration=0.35, maxima_glissando_size=180
),
),
convert_dissonant_tones2glissandi=True,
),
pteq.mk_super_dreamy_pte(
empty_attack_dynamic_maker=infit.Value(0),
modulator=(
ornamentations.SoftLineGlissandoMaker(
maxima_glissando_duration=0.35, maxima_glissando_size=180
),
),
convert_dissonant_tones2glissandi=True,
),
pteq.mk_super_dreamy_pte(
empty_attack_dynamic_maker=infit.Value(0),
modulator=(
ornamentations.SoftLineGlissandoMaker(
maxima_glissando_duration=0.35, maxima_glissando_size=180
),
),
convert_dissonant_tones2glissandi=True,
),
),
speech_init_attributes={},
include_glitter=True,
include_diva=False,
include_natural_radio=True,
include_percussion=False,
radio_silent_channels=(1, 3, 5),
radio_samples=(
"pbIII/samples/radio/carolina/3.wav",
"pbIII/samples/radio/carolina/1.wav",
),
radio_n_changes=0,
radio_average_volume=0.2,
radio_shadow_time=0.175,
radio_min_volume=0.875,
glitter_include_dissonant_pitches=False,
),
segments.DensityBasedThreeVoiceCP(
"{}_2".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(6, 1), ji.r(5, 2), ji.r(9, 4)),
group=(group, sub_group0, 2),
start_harmony=harmony.find_harmony("A", True, 0, (0,), gender=gender),
density_per_voice=(0.775, 1, 1),
gender=gender,
n_bars=3,
duration_per_bar=7,
start=4.5,
dynamic_range_of_voices=(0.1, 0.2),
anticipation_time=1.25,
overlaying_time=1.25,
cp_add_dissonant_pitches_to_nth_voice=(False, False, True),
cp_constraints_harmonic=(
counterpoint.constraints.HR_forbid_too_empty_harmonies(1, [0]),
),
cp_constraints_interpolation=[],
glitter_include_dissonant_pitches=False,
pteq_engine_per_voice=(
pteq.mk_dreamy_pte(
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_dreamy_pte(
empty_attack_dynamic_maker=infit.Value(0),
modulator=(
ornamentations.SoftLineGlissandoMaker(
maxima_glissando_duration=0.35, maxima_glissando_size=180
),
),
),
pteq.mk_dreamy_pte(
empty_attack_dynamic_maker=infit.Value(0),
modulator=(
ornamentations.SoftLineGlissandoMaker(
maxima_glissando_duration=0.35, maxima_glissando_size=180
),
),
),
),
speech_init_attributes={},
include_glitter=True,
include_diva=False,
include_natural_radio=True,
include_percussion=True,
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, 1, 2),
sample_maker=infit.Cycle(
(
percussion.Sample(
path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE),
pitch_factor=infit.Uniform(0.5, 2),
distortion=infit.Uniform(0.05, 0.3),
),
percussion.Sample(
path=infit.Cycle(globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD),
pitch_factor=infit.Uniform(0.5, 2),
distortion=infit.Uniform(0.04, 0.5),
),
)
),
likelihood_range=(0.1, 0.7),
volume_range=(0.1, 0.8),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(1,),
sample_maker=infit.Cycle(
(
percussion.Sample(
path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE),
pitch_factor=infit.Uniform(0.5, 2),
resonance_filter_frequency=infit.Uniform(5000, 9000),
resonance_filter_bandwidth=infit.Uniform(200, 700),
),
percussion.Sample(
path=infit.Cycle(globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD),
pitch_factor=infit.Uniform(0.5, 2),
),
)
),
likelihood_range=(0.1, 0.7),
volume_range=(0.1, 0.8),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(2,),
sample_maker=infit.Cycle(
(
percussion.Sample(
path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE),
pitch_factor=infit.Uniform(0.5, 2),
resonance_filter_frequency=infit.Uniform(1000, 3000),
resonance_filter_bandwidth=infit.Uniform(90, 200),
),
percussion.Sample(
path=infit.Cycle(globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD),
pitch_factor=infit.Uniform(0.5, 2),
resonance_filter_frequency=infit.Uniform(1000, 3000),
resonance_filter_bandwidth=infit.Uniform(90, 200),
),
)
),
likelihood_range=(0.1, 0.7),
volume_range=(0.1, 0.8),
ignore_beats_occupied_by_voice=False,
),
),
radio_silent_channels=(1, 3, 5),
radio_samples=(
"pbIII/samples/radio/carolina/3.wav",
"pbIII/samples/radio/carolina/1.wav",
),
radio_n_changes=1,
radio_average_volume=0.285,
radio_shadow_time=0.2,
radio_min_volume=0.925,
),
)
def make(name: str = "ONE", gender=False, group=0, sub_group0=1):
return (
segments.FreeStyleCP(
"{}_chords0".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(1, 1), ji.r(3, 1),
ji.r(5, 4)),
energy_per_voice=(6, 7, 7),
weight_range=(0, 6),
silence_decider_per_voice=(
infit.ActivityLevel(0),
infit.ActivityLevel(0),
infit.ActivityLevel(0),
),
group=(group, sub_group0, 0),
start_harmony=harmony.find_harmony("A",
True,
0,
tuple([]),
gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=22,
start=4,
metrical_numbers=(12, 12, 12),
dynamic_range_of_voices=(0.6, 0.8),
anticipation_time=0.2,
overlaying_time=1.25,
cp_add_dissonant_pitches_to_nth_voice=(True, True, False),
pteq_engine_per_voice=(
pteq.mk_super_dreamy_pte(
empty_attack_dynamic_maker=infit.Value(0.1)),
pteq.mk_super_dreamy_pte(
empty_attack_dynamic_maker=infit.Value(0.1)),
pteq.mk_super_dreamy_pte(
empty_attack_dynamic_maker=infit.Value(0.1)),
),
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, ),
likelihood_range=(0.1, 0.6),
volume_range=(0.1, 0.8),
ignore_beats_occupied_by_voice=True,
seed=100,
),
percussion.Rhythmizer(
voice_meters2occupy=(1, ),
# likelihood_range=(0.1, 0.8),
likelihood_range=(0, 0.1),
volume_range=(0.1, 1),
ignore_beats_occupied_by_voice=True,
seed=1000,
),
percussion.Rhythmizer(
voice_meters2occupy=(2, ),
sample_maker=infit.Cycle((
percussion.Sample(
path=infit.Cycle(globals.SAM_SPEECH_SPACE),
pitch_factor=infit.Uniform(0.9, 1.2),
),
percussion.Sample(
path=infit.Cycle(globals.SAM_SPEECH_TIME),
pitch_factor=infit.Uniform(0.9, 1.2),
),
)),
# likelihood_range=(1, 0.2),
likelihood_range=(0, 0.1),
volume_range=(0.1, 0.3),
ignore_beats_occupied_by_voice=True,
),
),
include_glitter=False,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
radio_silent_channels=(1, 5),
radio_samples=(
"pbIII/samples/radio/carolina/3.wav",
"pbIII/samples/radio/carolina/1.wav",
),
radio_n_changes=2,
radio_average_volume=0.1,
radio_shadow_time=0.2,
radio_min_volume=0.825,
# speech_init_attributes={
# "speech0": {
# "start": 5.85,
# "duration": 22.5,
# "sound_engine": speech.Sampler(
# "pbIII/samples/speech/ghost_dance/ghost_dance_quote0_noise_reduction0.wav",
# volume=0.58,
# ),
# },
# "speech2": {
# "start": 3,
# "duration": 37.5,
# "sound_engine": speech.Sampler(
# globals.SAM_SPEECH_IAN_CURTIS[2], volume=1
# ),
# },
# },
),
segments.FreeStyleCP(
"{}_chords1".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(1, 1), ji.r(3, 1),
ji.r(5, 4)),
energy_per_voice=(3, 2, 2),
weight_range=(0, 6),
silence_decider_per_voice=(
infit.ActivityLevel(0),
infit.ActivityLevel(0),
infit.ActivityLevel(0),
),
group=(group, sub_group0, 1),
start_harmony=harmony.find_harmony("A",
True,
0,
tuple([]),
gender=gender),
gender=gender,
n_bars=2,
duration_per_bar=11,
start=2,
metrical_numbers=(6, 12, 18),
dynamic_range_of_voices=(0.6, 0.8),
anticipation_time=0.2,
overlaying_time=1.25,
cp_add_dissonant_pitches_to_nth_voice=(True, True, False),
pteq_engine_per_voice=(
pteq.mk_super_dreamy_pte(
empty_attack_dynamic_maker=infit.Value(0.1)),
pteq.mk_super_dreamy_pte(
empty_attack_dynamic_maker=infit.Value(0.1)),
pteq.mk_super_dreamy_pte(
empty_attack_dynamic_maker=infit.Value(0.1)),
),
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, ),
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)),
distortion=infit.Uniform(0, 1),
),
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((0.5, 1, 0.25, 1)),
distortion=infit.Uniform(0, 1),
),
)),
likelihood_range=(0.3, 1),
volume_range=(0.1, 0.8),
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, 0.5, 1, 0.25, 1)),
),
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((0.5, 1, 0.25, 1)),
distortion=infit.Uniform(0, 1),
),
)),
likelihood_range=(0.3, 1),
volume_range=(0.1, 0.8),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(2, ),
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)),
distortion=infit.Uniform(0, 1),
),
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((0.5, 1, 0.25, 1)),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_LOW_FAR_HAND),
frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_HAND.
information["frequency"],
pitch_factor=infit.Cycle((1, 1, 0.5, 1)),
),
)),
likelihood_range=(0.3, 1),
volume_range=(0.1, 0.8),
ignore_beats_occupied_by_voice=False,
),
),
include_glitter=False,
include_diva=False,
include_natural_radio=False,
include_percussion=True,
radio_silent_channels=(1, 5),
radio_samples=(
"pbIII/samples/radio/carolina/3.wav",
"pbIII/samples/radio/carolina/1.wav",
),
radio_n_changes=2,
radio_average_volume=0.1,
radio_shadow_time=0.2,
radio_min_volume=0.825,
# speech_init_attributes={
# "speech0": {
# "start": 5.85,
# "duration": 22.5,
# "sound_engine": speech.Sampler(
# "pbIII/samples/speech/ghost_dance/ghost_dance_quote0_noise_reduction0.wav",
# volume=0.58,
# ),
# },
# "speech2": {
# "start": 3,
# "duration": 37.5,
# "sound_engine": speech.Sampler(
# globals.SAM_SPEECH_IAN_CURTIS[2], volume=1
# ),
# },
# },
),
)
def mk_super_soft_trippy_pte(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
sustain_pedal: int = 1,
*args,
**kwargs,
) -> type:
# for glockenspiel
return mk_pianoteq_engine(
preset=preset,
fxp=fxp,
parameter_non_dissonant_pitches={
"unison_width": infit.Uniform(0, 20),
"impedance": infit.Uniform(0.65, 1.8, seed=2),
"cutoff": infit.Uniform(0.65, 2, seed=2),
"q_factor": infit.Uniform(0.7, 1.8, seed=2),
"direct_sound_duration": infit.Uniform(4, 5, seed=3),
"string_length": infit.Uniform(8, 10),
"sympathetic_resonance": infit.Uniform(1, 5),
"hammer_noise": infit.Uniform(0.2, 1.5, seed=10),
"sustain_pedal": sustain_pedal,
"hammer_hard_piano": 0.1,
"hammer_hard_mezzo": 0.2,
"hammer_hard_forte": 0.3,
"strike_point": infit.Uniform(1 / 64, 1 / 8),
"pinch_harmonic_pedal": 0,
"celeste_pedal": infit.Cycle((1, 0, 1, 1, 1, 0)),
"soft_pedal": infit.Cycle((0, 1, 1, 0, 1)),
"buff_stop_pedal": infit.Cycle((0, 1, 1, 0, 1)),
"sound_speed": 300,
"blooming_energy": infit.Uniform(0.25, 2),
"blooming_inertia": infit.Uniform(1.55, 2.8),
"condition": infit.Uniform(0, 10),
"wall_distance": infit.Uniform(0, 6),
"effect1_switch": infit.ActivityLevel(6),
"effect1_param1": infit.Uniform(0.2, 0.4),
"effect1_param2": infit.Uniform(0.25, 0.6),
"mic_1_level_1": infit.Gaussian(-2, 4, seed=5),
"mic_1_x_position": infit.Uniform(0, 0.25, seed=5),
"mic_2_x_position": infit.Uniform(0.6, 1.45, seed=5),
"mic_1_z_position": infit.Uniform(1.25, 2.8, seed=5),
"mic_2_z_position": infit.Uniform(1.25, 2.8, seed=5),
"mic_1_elevation": infit.Uniform(-180, 180, seed=5),
"mic_2_elevation": infit.Uniform(-180, 180, seed=5),
"mic_1_azimuth": infit.Uniform(-180, 180, seed=5),
"mic_2_azimuth": infit.Uniform(-180, 180, seed=5),
},
parameter_dissonant_pitches={
"unison_width": infit.Uniform(0, 20),
"impedance": infit.Uniform(0.5, 1.5, seed=2),
"cutoff": infit.Uniform(0.65, 2, seed=2),
"q_factor": infit.Uniform(0.8, 2, seed=2),
"direct_sound_duration": infit.Uniform(4, 5, seed=3),
"string_length": infit.Uniform(8, 10),
"sympathetic_resonance": infit.Uniform(2, 5),
"hammer_noise": infit.Uniform(0.2, 3, seed=10),
"sustain_pedal": sustain_pedal,
"hammer_hard_piano": 0.1,
"hammer_hard_mezzo": 0.2,
"hammer_hard_forte": 0.3,
"strike_point": infit.Uniform(1 / 64, 1 / 8),
"pinch_harmonic_pedal": 0,
"celeste_pedal": infit.Cycle((1, 0, 1, 1, 1, 0)),
"soft_pedal": infit.Cycle((0, 1, 1, 0, 1)),
"buff_stop_pedal": infit.Cycle((0, 1, 1, 0, 1)),
"sound_speed": infit.Uniform(200, 500, seed=0),
"blooming_energy": infit.Uniform(0.25, 2),
"blooming_inertia": infit.Uniform(1.55, 2.8),
"wall_distance": infit.Uniform(0, 6),
"mic_1_z_position": infit.Uniform(1.25, 2),
},
*args,
**kwargs,
)
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
),
pteq.mk_dreamy_pte(
# modulator=(ornamentations.SoftLineGlissandoMaker(),),
empty_attack_dynamic_maker=infit.Value(0.2)),
pteq.mk_dreamy_pte(
# modulator=(ornamentations.SoftLineGlissandoMaker(),),
empty_attack_dynamic_maker=infit.Value(0.2)),
),
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, 1, 2),
sample_maker=infit.Cycle((percussion.ResonanceSample(
path=infit.Cycle(globals.SAM_CYMBALS_BIG_AGGRESSIVE),
pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)),
resonance_filter_bandwidth=infit.Uniform(10, 20),
resonance_filter_octave=infit.Cycle((1, 2, 1, 3, 0, 1, 2)),
), )),
likelihood_range=(0.5, 0.8),
volume_range=(0.1, 0.8),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(1, ),
sample_maker=infit.Cycle((percussion.ResonanceSample(
path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE),
pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)),
resonance_filter_bandwidth=infit.Uniform(10, 20),
resonance_filter_octave=infit.Cycle((1, 2, 1, 3, 0, 1, 2)),
), )),
likelihood_range=(0.5, 1),
def __init__(
self,
voice_meters2occupy: tuple = (0, ),
sample_maker: infit.InfIt = infit.Cycle((
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((0.5, 2, 4, 1)),
),
Sample(
path=infit.Cycle(globals.SAM_KENDANG_LOW_HIGH_CLOSE_HAND),
frequency=globals.SAM_KENDANG_LOW_HIGH_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((0.5, 2, 4, 1)),
),
Sample(
path=infit.Cycle(globals.SAM_CYMBALS_BIG_AGGRESSIVE),
frequency=globals.SAM_CYMBALS_BIG_AGGRESSIVE.
information["frequency"],
pitch_factor=infit.Uniform(0.4, 1.3),
),
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, 2, 4, 1)),
),
)),
likelihood_range: tuple = (0.79, 1),
volume_range: tuple = (0.5, 1),
seed: int = 100,
chord: infit.InfIt = harmony.find_harmony(),
ignore_beats_occupied_by_voice: bool = True,
voices2ignore: tuple = None,
octaves: tuple = tuple(range(-3, 4)),
):
if voices2ignore is None:
voices2ignore = voice_meters2occupy
if type(chord) is tuple:
chord = infit.Value(chord)
elif isinstance(chord, infit.InfIt):
pass
else:
msg = "Wrong type '{}' for chord '{}'.".format(type(chord), chord)
raise TypeError(msg)
self._voices2ignore = voices2ignore
self._voice_meters2occupy = voice_meters2occupy
self._sample_maker = sample_maker
self._likelihood_range = likelihood_range
self._volume_range = volume_range
self._chord = chord
self._ignore_beats_occupied_by_voice = ignore_beats_occupied_by_voice
self._octaves = octaves
import random
random.seed(seed)
self._random_module = random
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.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 = "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 = "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 = "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 make(name: str = "ONE", gender=False, group=0, sub_group0=0):
return (
# with activity level
segments.FreeStyleCP(
"{}_0".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(3, 2), ji.r(3, 1),
ji.r(5, 4)),
decision_type="activity",
energy_per_voice=(7, 10, 6),
weight_range=(4, 10),
metrical_numbers=(12, 6, 18),
silence_decider_per_voice=(
infit.ActivityLevel(1),
infit.ActivityLevel(1),
infit.ActivityLevel(1),
),
group=(group, sub_group0, 2),
start_harmony=harmony.find_harmony("A",
True,
0,
tuple([]),
gender=gender),
gender=gender,
n_bars=3,
duration_per_bar=10,
start=2,
dynamic_range_of_voices=(0.2, 0.45),
anticipation_time=0.2,
overlaying_time=0.25,
cp_add_dissonant_pitches_to_nth_voice=(False, True, False),
glitter_include_dissonant_pitches=True,
pteq_engine_per_voice=(
pteq.mk_super_dreamy_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_dreamy_pte(
empty_attack_dynamic_maker=infit.Value(0.2)),
),
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, ),
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)),
distortion=infit.Uniform(0, 1),
),
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((0.5, 1, 0.25, 1)),
distortion=infit.Uniform(0, 1),
),
)),
likelihood_range=(0.3, 1),
volume_range=(0.1, 0.8),
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, 0.5, 1, 0.25, 1)),
),
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((0.5, 1, 0.25, 1)),
distortion=infit.Uniform(0, 1),
),
)),
likelihood_range=(0.3, 1),
volume_range=(0.1, 0.8),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(2, ),
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)),
distortion=infit.Uniform(0, 1),
),
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((0.5, 1, 0.25, 1)),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_LOW_FAR_HAND),
frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_HAND.
information["frequency"],
pitch_factor=infit.Cycle((1, 1, 0.5, 1)),
),
)),
likelihood_range=(0.3, 1),
volume_range=(0.1, 0.8),
ignore_beats_occupied_by_voice=False,
),
),
speech_init_attributes={},
include_glitter=True,
include_diva=False,
include_natural_radio=True,
voices_overlaying_time=5,
radio_silent_channels=(1, 3, 5),
radio_samples=(
"pbIII/samples/radio/carolina/3.wav",
"pbIII/samples/radio/carolina/1.wav",
),
radio_n_changes=1,
radio_average_volume=0.095,
radio_shadow_time=0.085,
radio_min_volume=0.825,
), )
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 main() -> versemaker.Verse:
vm = versemaker.VerseMaker(
59,
"closing",
tempo_factor=0.31,
octave_of_first_pitch=-1,
harmonic_tolerance=0.89,
ro_temperature=0.685,
ro_density=0.8,
harmonic_pitches_tonality_flux_maximum_octave_difference_from_melody_pitch=(
1,
0,
),
harmonic_pitches_complex_interval_helper_maximum_octave_difference_from_melody_pitch=(
1,
0,
),
area_density_maker=infit.Gaussian(0.35, 0.1),
area_density_reference_size=F(1, 2),
area_min_split_size=F(1, 8),
)
vm.remove_area(0, 1)
# vm.remove_area(30, len(vm.bars))
# vm.remove_area(len(vm.bars) - 2, len(vm.bars) + 1)
vm.add_bar(5, abjad.TimeSignature((3, 4)))
vm.add_bar(9, abjad.TimeSignature((2, 4)))
vm.add_bar(23, abjad.TimeSignature((1, 4)))
vm.add_bar(25, abjad.TimeSignature((2, 4)))
# vm.add_bar(26, abjad.TimeSignature((1, 4)))
vm.attach(
violin=strings.SimpleStringMaker(
globals_.VIOLIN,
pizz_maker=infit.ActivityLevel(5, start_at=0),
tremolo_maker=infit.ActivityLevel(0),
acciaccatura_maker=infit.ActivityLevel(5),
force_acciaccatura_to_glissando_maker=infit.ActivityLevel(0),
acciaccatura_glissando_size_maker=infit.Cycle((0, 1, 0)),
harmonic_pitches_activity=0.3,
harmonic_pitches_density=0.7,
shall_add_optional_pitches=True,
optional_pitches_maximum_octave_difference_from_melody_pitch=(1, 0),
optional_pitches_min_size=F(3, 16),
optional_pitches_density=0.75,
after_glissando_size=F(1, 8),
),
viola=strings.SimpleStringMaker(
globals_.VIOLA,
tremolo_maker=infit.ActivityLevel(0),
pizz_maker=infit.ActivityLevel(5, start_at=0),
acciaccatura_maker=infit.ActivityLevel(5),
force_acciaccatura_to_glissando_maker=infit.ActivityLevel(0),
acciaccatura_glissando_size_maker=infit.Cycle((0, 1, 0, 1, 0, 0, 0)),
harmonic_pitches_activity=0.4,
harmonic_pitches_density=0.75,
shall_add_optional_pitches=True,
optional_pitches_maximum_octave_difference_from_melody_pitch=(1, 0),
optional_pitches_min_size=F(3, 16),
optional_pitches_density=0.75,
),
cello=strings.SimpleStringMaker(
globals_.CELLO,
tremolo_maker=infit.ActivityLevel(0),
pizz_maker=infit.ActivityLevel(0),
force_acciaccatura_to_glissando_maker=infit.ActivityLevel(0),
acciaccatura_glissando_size_maker=infit.Cycle((0, 1, 0, 1, 0)),
shall_add_optional_pitches=True,
acciaccatura_maker=infit.ActivityLevel(5),
harmonic_pitches_activity=0.35,
harmonic_pitches_density=0.7,
optional_pitches_maximum_octave_difference_from_melody_pitch=(1, 0),
optional_pitches_min_size=F(3, 16),
optional_pitches_density=0.7,
after_glissando_size=F(1, 8),
),
keyboard=keyboard.KeyboardMaker(
lh_min_volume=0.68,
lh_max_volume=0.79,
lh_min_metricity_to_add_harmony=0,
lh_min_metricity_to_add_accent=10,
lh_max_metricity_for_arpeggio=0.3,
lh_min_metricity_to_add_restricted_harmony=0,
lh_prohibit_repetitions=False,
lh_add_repetitions_avoiding_notes=False,
rh_likelihood_making_harmony=1,
harmonies_max_difference=1200,
harmonies_min_difference=250,
colotomic_structure=(1, 2, 2, 2),
),
)
_adapt_violin(vm.violin.musdat[1], vm)
_adapt_viola(vm.viola.musdat[1], vm)
_adapt_cello(vm.cello.musdat[1], vm)
_adapt_keyboard(vm.keyboard.musdat[2], vm.keyboard.musdat[1], vm)
# vm.add_bar(33, abjad.TimeSignature((2, 4)), force_adding=True)
# _adapt_left_hand(vm.keyboard.musdat[2], vm)
for string in (vm.violin.musdat[1], vm.viola.musdat[1], vm.cello.musdat[1]):
tw.detach_hauptstimme(string)
tw.detach_optional_events(string)
for instr in (
vm.violin.musdat[1],
vm.viola.musdat[1],
vm.cello.musdat[1],
vm.keyboard.musdat[2],
vm.keyboard.musdat[1],
):
tw.detach_optional_events(instr)
verse = vm()
for instr in ("violin", "viola", "cello", "keyboard"):
if instr == "keyboard":
indices = ((1, 0), (1, 1))
else:
indices = ((1,),)
for idx in indices:
staff = getattr(verse, instr).abjad
for subidx in idx:
staff = staff[subidx]
"""
# adapting accidental notation of keyboard
if instr == "keyboard" and idx[1] == 1:
abjad.Accidental.respell_with_sharps(staff[6][3:])
abjad.Accidental.respell_with_sharps(staff[7])
abjad.Accidental.respell_with_sharps(staff[8])
abjad.Accidental.respell_with_sharps(staff[18])
abjad.Accidental.respell_with_sharps(staff[19])
abjad.Accidental.respell_with_sharps(staff[20])
"""
if instr == "violin":
# abjad.attach(abjad.Dynamic('ppp'), staff[0][0])
abjad.attach(abjad.StartHairpin(), staff[2][0])
abjad.attach(abjad.Dynamic("p"), staff[3][0])
abjad.attach(abjad.StartHairpin(">"), staff[3][6])
abjad.attach(abjad.Dynamic("ppp"), staff[4][2])
abjad.attach(abjad.StartHairpin(">"), staff[6][2])
abjad.attach(abjad.Dynamic("pppp"), staff[7][0])
# abjad.attach(
# abjad.StringContactPoint("sul tasto").markup, staff[7][0],
# )
# abjad.attach(
# abjad.StringContactPoint("ordinario").markup, staff[8][0],
# )
# abjad.attach(
# abjad.StringContactPoint("sul tasto").markup, staff[9][0],
# )
abjad.attach(abjad.Dynamic("pp"), staff[12][2])
abjad.attach(abjad.Fermata(), staff[16][2])
abjad.attach(abjad.Dynamic("p"), staff[17][0])
abjad.attach(abjad.Dynamic("pppp"), staff[17][2])
abjad.attach(abjad.StartHairpin(), staff[18][1])
abjad.attach(abjad.Dynamic("p"), staff[19][0])
abjad.attach(abjad.Dynamic("pp"), staff[22][-1])
abjad.attach(abjad.Dynamic("p"), staff[30][2])
abjad.attach(abjad.StartHairpin(">"), staff[31][-1])
abjad.attach(abjad.Dynamic("pppp"), staff[33][0])
# abjad.attach(FLAUTANDO, staff[33][0])
elif instr == "viola":
abjad.attach(abjad.StartHairpin(), staff[2][0])
abjad.attach(abjad.Dynamic("pp"), staff[3][0])
abjad.attach(abjad.StartHairpin(">"), staff[3][3])
abjad.attach(abjad.Dynamic("ppp"), staff[4][1])
abjad.attach(abjad.Dynamic("pppp"), staff[7][0])
# abjad.attach(
# abjad.StringContactPoint("sul tasto").markup, staff[8][0],
# )
abjad.attach(abjad.Dynamic("pp"), staff[12][2])
abjad.attach(abjad.Fermata(), staff[16][2])
abjad.attach(abjad.Dynamic("p"), staff[17][0])
abjad.attach(abjad.Dynamic("pp"), staff[18][2])
abjad.attach(abjad.StartHairpin(), staff[18][2])
abjad.attach(abjad.Dynamic("p"), staff[19][0])
abjad.attach(abjad.Dynamic("pp"), staff[23][0])
abjad.attach(abjad.Dynamic("p"), staff[30][1])
abjad.attach(abjad.StartHairpin(">"), staff[31][-1])
abjad.attach(abjad.Dynamic("pppp"), staff[33][0])
# abjad.attach(FLAUTANDO, staff[33][0])
elif instr == "cello":
abjad.attach(abjad.StartHairpin(), staff[2][0])
abjad.attach(abjad.Dynamic("pp"), staff[3][0])
# abjad.attach(abjad.Dynamic('pp'), staff[2][0])
abjad.attach(abjad.StartHairpin(">"), staff[3][5])
abjad.attach(abjad.Dynamic("ppp"), staff[4][1])
abjad.attach(abjad.StartHairpin(">"), staff[6][1])
abjad.attach(abjad.Dynamic("pppp"), staff[7][0])
abjad.attach(
abjad.StringContactPoint("sul tasto"), staff[8][0],
)
abjad.attach(abjad.Dynamic("pp"), staff[12][2])
abjad.attach(abjad.Fermata(), staff[16][2])
abjad.attach(abjad.Dynamic("p"), staff[17][0])
abjad.attach(abjad.Dynamic("ppp"), staff[18][0])
abjad.attach(abjad.StartHairpin(), staff[18][0])
abjad.attach(abjad.Dynamic("p"), staff[19][0])
abjad.attach(abjad.Dynamic("pp"), staff[23][0])
abjad.attach(abjad.Dynamic("ppp"), staff[24][5])
abjad.attach(abjad.Dynamic("pp"), staff[26][0])
abjad.attach(abjad.Dynamic("ppp"), staff[29][0])
abjad.attach(abjad.Dynamic("pp"), staff[29][4])
abjad.attach(abjad.Dynamic("p"), staff[30][1])
abjad.attach(abjad.StartHairpin(">"), staff[31][4])
abjad.attach(abjad.Dynamic("pppp"), staff[33][0])
abjad.attach(abjad.Fermata("longfermata"), staff[-1][-1])
abjad.detach(globals_.NONVIB_MARKUP, staff[0][0])
abjad.detach(globals_.CON_SORDINO_MARKUP, staff[0][0])
abjad.attach(globals_.NONVIB_MARKUP, staff[0][1])
abjad.attach(globals_.CON_SORDINO_MARKUP, staff[0][1])
# abjad.attach(FLAUTANDO, staff[33][0])
elif instr == "keyboard":
if idx[1] == 1:
abjad.attach(abjad.Dynamic("pp"), staff[2][0])
abjad.attach(abjad.Dynamic("ppp"), staff[7][0])
abjad.attach(abjad.Dynamic("p"), staff[11][0])
abjad.attach(abjad.Dynamic("pp"), staff[12][1])
abjad.attach(abjad.Dynamic("p"), staff[18][1])
abjad.attach(abjad.Dynamic("pp"), staff[26][3])
abjad.attach(abjad.Dynamic("ppp"), staff[27][1])
abjad.attach(abjad.Dynamic("pp"), staff[30][0])
abjad.attach(abjad.Dynamic("p"), staff[31][0])
abjad.attach(abjad.StartHairpin(">"), staff[32][1])
abjad.attach(abjad.Dynamic("ppp"), staff[33][0])
abjad.attach(abjad.Fermata(), staff[16][1])
else:
abjad.attach(abjad.Fermata(), staff[16][1])
abjad.attach(abjad.Dynamic("ppp"), staff[0][0])
return verse
def make(name: str = "TWO", gender=False, group=0, sub_group0=1):
return (
segments.FreeStyleCP(
"{}_0".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(5, 1), ji.r(9, 4),
ji.r(16, 11)),
decision_type="activity",
energy_per_voice=(9, 7, 7),
weight_range=(4, 10),
metrical_numbers=(12, 9, 12),
silence_decider_per_voice=(
infit.ActivityLevel(2),
infit.ActivityLevel(1),
infit.ActivityLevel(2),
),
group=(group, sub_group0, 0),
start_harmony=harmony.find_harmony("A",
True,
0,
tuple([]),
gender=gender),
gender=gender,
n_bars=2,
duration_per_bar=13,
start=0,
dynamic_range_of_voices=(0.2, 0.5),
anticipation_time=0.01,
overlaying_time=0.25,
cp_add_dissonant_pitches_to_nth_voice=(True, True, True),
glitter_include_dissonant_pitches=True,
pteq_engine_per_voice=(
pteq.mk_super_soft_trippy_pte(
empty_attack_dynamic_maker=infit.Value(0.2),
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
sustain_pedal=0,
),
pteq.mk_dreamy_pte(
# modulator=(ornamentations.SoftLineGlissandoMaker(),),
convert_dissonant_tones2glissandi=True,
empty_attack_dynamic_maker=infit.Value(0.2),
),
pteq.mk_dreamy_pte(
empty_attack_dynamic_maker=infit.Value(0.2),
convert_dissonant_tones2glissandi=True,
),
),
speech_init_attributes={},
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(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,
),
),
include_glitter=True,
include_diva=False,
include_natural_radio=True,
include_percussion=True,
voices_overlaying_time=5,
radio_samples=(
globals.SAM_RADIO_ITALY[-1],
globals.SAM_RADIO_BIELEFELD[-1],
),
radio_n_changes=8,
radio_average_volume=0.1,
radio_shadow_time=0.01,
radio_min_volume=0.825,
),
segments.Chord(
"{}_Bell2".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(12, 1), ji.r(2, 1),
ji.r(15, 8)),
group=(group, sub_group0, 1),
chord=harmony.find_harmony(name="A", idx=0, gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=8,
start=4,
dynamic_range_of_voices=(0.7, 0.9),
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),
),
),
# speech_init_attributes={
# # "speech0": {
# # "start": 0.3,
# # "duration": 12.5,
# # "sound_engine": speech.Sampler(
# # globals.SAM_RADIO_CAROLINA[1], volume=0.6
# # ),
# # },
# # "speech2": {
# # "start": -0.3,
# # "duration": 12.5,
# # "sound_engine": speech.Sampler(
# # globals.SAM_RADIO_ROEHRENRADIO_CLOSE_MITTELWELLE[-1], volume=0.6
# # ),
# # },
# },
include_glitter=False,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
segments.FreeStyleCP(
"{}_1".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(5, 1), ji.r(9, 4),
ji.r(16, 11)),
decision_type="activity",
energy_per_voice=(9, 6, 7),
weight_range=(4, 10),
metrical_numbers=(13, 9, 13),
silence_decider_per_voice=(
infit.ActivityLevel(2),
infit.ActivityLevel(1),
infit.ActivityLevel(2),
),
group=(group, sub_group0, 1),
start_harmony=harmony.find_harmony("A",
True,
0,
tuple([]),
gender=gender),
gender=gender,
n_bars=2,
duration_per_bar=15,
start=-3.8,
dynamic_range_of_voices=(0.2, 0.4),
anticipation_time=0.01,
overlaying_time=0.25,
cp_add_dissonant_pitches_to_nth_voice=(True, True, True),
glitter_include_dissonant_pitches=True,
pteq_engine_per_voice=(
pteq.mk_super_soft_trippy_pte(
empty_attack_dynamic_maker=infit.Value(0.2),
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
sustain_pedal=0,
),
pteq.mk_dreamy_pte(
# modulator=(ornamentations.SoftLineGlissandoMaker(),),
convert_dissonant_tones2glissandi=True,
empty_attack_dynamic_maker=infit.Value(0.2),
),
pteq.mk_dreamy_pte(
empty_attack_dynamic_maker=infit.Value(0.2),
convert_dissonant_tones2glissandi=True,
),
),
speech_init_attributes={},
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(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,
),
),
include_glitter=True,
include_diva=False,
include_natural_radio=True,
include_percussion=True,
voices_overlaying_time=5,
radio_samples=(
globals.SAM_RADIO_ITALY[-1],
globals.SAM_RADIO_BIELEFELD[-1],
),
radio_n_changes=8,
radio_average_volume=0.1,
radio_shadow_time=0.01,
radio_min_volume=0.825,
),
)
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),
)
