def __init__(self,
name: str,
chord: tuple = harmony.find_harmony(),
**kwargs):
def rhythm_maker(self) -> tuple:
return tuple(
binr.Compound.from_euclid(metrical_prime * self._n_bars, 1)
for metrical_prime in self._metrical_numbers)
if "rhythm_maker" not in kwargs:
kwargs.update({"rhythm_maker": rhythm_maker})
kwargs.update({"glitter_chord": chord[0]})
super().__init__(name=name, start_harmony=chord, **kwargs)
def make(name: str = "TWO", gender=False, group=0, sub_group0=1):
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=10,
start=0,
dynamic_range_of_voices=(0.95, 1),
voices_entry_delay_per_voice=(0, 0.15, 0.225),
anticipation_time=5,
overlaying_time=0,
pteq_engine_per_voice=(
pteq.mk_trippy_bell_pte(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_trippy_bell_pte(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_trippy_bell_pte(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
speech_init_attributes={},
include_glitter=False,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
), )
def make(name: str = "TWO", gender=False, group=0, sub_group0=1):
return (segments.MelodicCP(
"{}_0".format(name),
volume_envelope=interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(11, 1),
interpolations.FloatInterpolationEvent(4, 1),
interpolations.FloatInterpolationEvent(0, 0.4),
]),
volume_envelope_per_track={
"voiceP0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(4, 0),
interpolations.FloatInterpolationEvent(6, 1),
interpolations.FloatInterpolationEvent(2, 1),
interpolations.FloatInterpolationEvent(0, 0),
]),
"divaP0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(4, 0),
interpolations.FloatInterpolationEvent(6, 1),
interpolations.FloatInterpolationEvent(2, 1),
interpolations.FloatInterpolationEvent(0, 0),
]),
"voiceP1":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0),
interpolations.FloatInterpolationEvent(0, 1),
]),
"voiceP2":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(3, 0),
interpolations.FloatInterpolationEvent(0, 1),
]),
},
ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(3, 1),
ji.r(5, 4)),
random_seed=1000,
group=(group, sub_group0, 0),
action_per_voice=(0.94, 0.93),
sound_per_voice=(0.85, 0.85),
phrases=(0, ),
melody_register=1,
melodic_weight=0,
weight_range=(0.3, 1),
harmonicity_range=(0.25, 1),
gender=gender,
duration_per_bar=13,
start=0,
dynamic_range_of_voices=(0.4, 0.6),
anticipation_time=2.7,
overlaying_time=2.2,
voices_overlaying_time=3.5,
pteq_engine_per_voice=(
pteq.mk_super_soft_pte(
empty_attack_dynamic_maker=infit.Value(0.3),
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
sustain_pedal=1,
),
pteq.mk_dreamy_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.4),
),
pteq.mk_super_soft_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.3),
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
),
),
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, ),
chord=infit.Cycle((
harmony.find_harmony(name="A", gender=gender),
harmony.find_harmony(name="C", gender=gender),
)),
sample_maker=infit.Cycle((
percussion.ResonanceSample(
path=infit.Cycle(globals.SAM_CYMBALS_BIG_AGGRESSIVE),
pitch_factor=infit.Uniform(2, 6),
resonance_filter_bandwidth=infit.Uniform(0.4, 2),
resonance_filter_octave=infit.Cycle(
(2, 4, 3, 4, 1, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_MIDDLE_AGGRESSIVE),
pitch_factor=infit.Uniform(2, 5),
resonance_filter_bandwidth=infit.Uniform(0.5, 2),
resonance_filter_octave=infit.Cycle((2, 3, 4, 1, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
)),
likelihood_range=(0.75, 0.225),
volume_range=(0.1, 0.5),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(1, ),
chord=infit.Cycle((
harmony.find_harmony(name="A", gender=gender),
harmony.find_harmony(name="C", gender=gender),
)),
sample_maker=infit.Cycle((
percussion.ResonanceSample(
path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE),
pitch_factor=infit.Gaussian(3, 5),
resonance_filter_bandwidth=infit.Gaussian(0.8, 0.5),
resonance_filter_octave=infit.Cycle((2, )),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.3),
glissando_offset=0,
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD),
pitch_factor=infit.Gaussian(3, 4),
resonance_filter_bandwidth=infit.Uniform(0.5, 1),
resonance_filter_octave=infit.Cycle((2, )),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=0,
glissando_size=infit.Gaussian(1, 0.1),
),
)),
likelihood_range=(0.6, 0.1),
volume_range=(0.1, 0.8),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(0, 1, 2),
chord=infit.Cycle((harmony.find_harmony(name="B",
gender=gender), )),
sample_maker=infit.Cycle((
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((2, 4, 8, 4)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((16, 8, 4, 8, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((8, 4, 2, 4)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((8, 16, 8, 4, 8, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
)),
likelihood_range=(0.1, 0.5),
volume_range=(0.1, 0.5),
ignore_beats_occupied_by_voice=False,
),
),
speech_init_attributes={},
include_glitter=True,
include_diva=True,
include_natural_radio=True,
include_percussion=True,
radio_silent_channels=tuple([]),
tracks2ignore=("speech0", "speech1", "speech2"),
radio_samples=(
globals.SAM_RADIO_ITALY[-1],
globals.SAM_RADIO_BIELEFELD[-1],
),
radio_n_changes=8,
radio_average_volume=0.45,
radio_shadow_time=0.08,
radio_min_volume=0.955,
), )
def __init__(
self,
name: str,
tracks2ignore=tuple([]),
volume_envelope=None,
volume_envelope_per_track=dict([]),
rhythm_maker=None,
start: float = 0,
group: tuple = (0, 0, 0),
gender: bool = True,
n_bars: int = 1,
anticipation_time: float = 0.5,
overlaying_time: float = 0.5,
duration_per_bar: float = 5,
include_voices: bool = True,
include_diva: bool = True,
include_glitter: bool = True,
include_natural_radio: bool = True,
include_percussion: bool = True,
dynamic_range_of_voices: tuple = (0.2, 0.95),
max_spectrum_profile_change: int = 10,
voices_overlaying_time: float = 1,
voices_entry_delay_per_voice: tuple = (0, 0, 0),
glitter_include_dissonant_pitches: bool = True,
glitter_modulater_per_voice: tuple = ("randomi", "randomi", "randomi"),
glitter_attack_duration: infit.InfIt = 0.5,
glitter_release_duration: infit.InfIt = 0.5,
glitter_type: str = "glitter",
glitter_chord=None,
glitter_register_per_voice: tuple = (2, 2, 2),
glitter_wave_form_per_voice: tuple = ("sine", "sine", "sine"),
glitter_volume_per_voice: tuple = (1, 1, 1),
radio_samples: tuple = (
globals.SAM_RADIO_BIELEFELD[2],
globals.SAM_RADIO_UK[4],
globals.SAM_RADIO_ITALY[2],
),
radio_make_envelope: bool = True,
radio_average_volume: float = 0.3,
radio_min_volume: float = 0.65,
radio_max_volume: float = 1,
radio_n_changes: int = 5,
radio_crossfade_duration: float = 0.5,
radio_shadow_time: float = 0.175,
radio_silent_channels: tuple = tuple([]),
radio_attack_duration: infit.InfIt = infit.Gaussian(0.4, 0.095),
radio_release_duration: infit.InfIt = infit.Gaussian(0.4, 0.095),
tremolo_maker_per_voice: tuple = (None, None, None),
cp_constraints_interpolation: tuple = tuple([]),
cp_add_dissonant_pitches_to_nth_voice: tuple = (True, True, True),
speech_init_attributes: dict = {},
ambitus_maker: ambitus.AmbitusMaker = ambitus.SymmetricalRanges(
ji.r(1, 1), ji.r(3, 1), ji.r(5, 4)),
start_harmony: tuple = None,
pteq_engine_per_voice: tuple = (
pteq.mk_contrasting_pte(),
pteq.mk_contrasting_pte(),
pteq.mk_contrasting_pte(),
),
diva_engine_per_voice: tuple = (
diva.FloatingDivaMidiEngine,
diva.FloatingDivaMidiEngine,
diva.FloatingDivaMidiEngine,
),
percussion_engine_per_voice: tuple = (
percussion.Rhythmizer((0, )),
percussion.Rhythmizer((1, )),
percussion.Rhythmizer((2, )),
),
# in case the user want to use her or his own metrical numbers
metrical_numbers: tuple = None,
) -> None:
assert glitter_type in ("glitter", "drone")
if glitter_chord is None:
glitter_chord = harmony.find_harmony(gender=gender)[0]
self._voices_entry_delay_per_voice = voices_entry_delay_per_voice
self._n_bars = n_bars
self._cp_constraints_interpolation = cp_constraints_interpolation
self._gender = gender
self._gender_code = ("N", "P")[int(gender)]
self._bar_number = globals.MALE_SOIL.detect_group_index(group)
if metrical_numbers is None:
metrical_numbers = globals.MALE_SOIL.metre_per_vox_per_bar[
self._bar_number]
self._metrical_numbers = metrical_numbers
self._anticipation_time = anticipation_time
self._overlaying_time = overlaying_time
self._voices_overlaying_time = voices_overlaying_time
self._pteq_engine_per_voice = pteq_engine_per_voice
self._diva_engine_per_voice = diva_engine_per_voice
self._ambitus_maker = ambitus_maker
self._start_harmony = start_harmony
self._cp_add_dissonant_pitches_to_nth_voice = (
cp_add_dissonant_pitches_to_nth_voice)
self._tremolo_maker_per_voice = tremolo_maker_per_voice
if rhythm_maker is None:
def rhythm_maker(self) -> tuple:
return tuple(
binr.Compound.from_euclid(metrical_prime *
self._n_bars, metrical_prime *
self._n_bars)
for metrical_prime in self._metrical_numbers)
rhythms = polyrhythms.Polyrhythm(
*rhythm_maker(self)).transformed_rhythms
self._percussion_engine_per_voice = percussion_engine_per_voice
self._rhythms = rhythms
self._bar_size = int(sum(rhythms[0])) // n_bars
self._weight_per_beat_for_one_bar = self.make_weight_per_beat_for_one_bar(
self._metrical_numbers, self._bar_size)
self._tempo_factor = self.convert_duration2factor(
duration_per_bar, self._bar_size)
self._include_diva = include_diva
self._weight_per_beat = tuple(self._weight_per_beat_for_one_bar *
self._n_bars)
self._harmonic_primes = globals.MALE_SOIL.harmonic_primes_per_bar[
self._bar_number]
self._counterpoint_result = self.make_counterpoint_result()
init_attributes = {}
self._duration_per_voice = duration_per_bar * self._n_bars
self._voices_inner = tuple(
old.Melody(old.Tone(p, r) for p, r in zip(vox[0], vox[1]))
for vox in self._counterpoint_result[0])
self._duration = self._voices_inner[0].duration
self._attribute_maker_inner = pteqer.AttributeMaker(
self._voices_inner,
metricity_per_beat=self._weight_per_beat,
max_spectrum_profile_change=max_spectrum_profile_change,
dynamic_range=dynamic_range_of_voices,
)
self._voices_outer = tuple(
old.Melody(old.Tone(p, r) for p, r in zip(vox[0], vox[1]))
for vox in self._counterpoint_result[1])
self._attribute_maker_outer = pteqer.AttributeMaker(
self._voices_outer,
metricity_per_beat=self._weight_per_beat,
max_spectrum_profile_change=max_spectrum_profile_change,
dynamic_range=dynamic_range_of_voices,
)
# make pianoteq voices
if include_voices:
init_attributes.update(self.make_voices())
# make diva voices
if include_diva:
init_attributes.update(self.make_diva_voices())
# make glitter voices
if include_glitter:
init_attributes.update(
self.make_glitter_voices(
glitter_include_dissonant_pitches,
glitter_modulater_per_voice,
glitter_attack_duration,
glitter_release_duration,
glitter_type,
glitter_chord,
glitter_register_per_voice,
glitter_wave_form_per_voice,
glitter_volume_per_voice,
))
# make natural radio voices
if include_natural_radio:
voices_inner_and_outer = []
for voices, volume_per_voice in (
(
self._voices_inner,
self._attribute_maker_inner.volume_per_tone_per_voice,
),
(
self._voices_outer,
self._attribute_maker_outer.volume_per_tone_per_voice,
),
):
voices = tuple(
old.Melody(
old.Tone(
tone.pitch, tone.delay, tone.delay, volume=volume)
for tone, volume in zip(voice, volume_per_tone)) for
voice, volume_per_tone in zip(voices, volume_per_voice))
voices_inner_and_outer.append(voices)
init_attributes.update(
self.make_natural_radio(
voices_inner_and_outer[0],
voices_inner_and_outer[1],
self._tempo_factor,
gender,
make_envelope=radio_make_envelope,
samples=radio_samples,
n_changes=radio_n_changes,
crossfade_duration=radio_crossfade_duration,
anticipation_time=self._anticipation_time,
overlaying_time=self._overlaying_time,
average_volume=radio_average_volume,
min_volume=radio_min_volume,
max_volume=radio_max_volume,
shadow_time=radio_shadow_time,
silent_channels=radio_silent_channels,
attack_duration=radio_attack_duration,
release_duration=radio_release_duration,
))
# make percussion voices
if include_percussion:
init_attributes.update(self.make_percussion_voices())
# make speech voices
init_attributes.update(speech_init_attributes)
super().__init__(
name=name,
start=start,
tracks2ignore=tracks2ignore,
volume_envelope=volume_envelope,
volume_envelope_per_track=volume_envelope_per_track,
**init_attributes,
)
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=True, group=0, sub_group0=0):
return (
segments.Silence(name="{}_silence0".format(name), duration=5),
segments.Chord(
"{}_Bell0".format(name),
volume_envelope=interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(0.1, 0),
interpolations.FloatInterpolationEvent(0.2, 1),
interpolations.FloatInterpolationEvent(0, 1),
]),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(2, 1),
ji.r(9, 8)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="A", gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=22,
start=0,
dynamic_range_of_voices=(0.8, 0.9),
voices_entry_delay_per_voice=(0, 0.05, 0.03),
anticipation_time=1.25,
overlaying_time=1.25,
pteq_engine_per_voice=(
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_pianoteq_engine(
preset='"Church Bells original"',
empty_attack_dynamic_maker=infit.Value(0),
),
),
speech_init_attributes={},
include_glitter=False,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
segments.Chord(
"{}_Bell1".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(8, 1), ji.r(2, 1),
ji.r(9, 8)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="C", idx=1, gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=9,
start=0,
dynamic_range_of_voices=(0.05, 0.4),
anticipation_time=0,
overlaying_time=0,
voices_entry_delay_per_voice=(0.025, 0, 0.05),
pteq_engine_per_voice=(
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
speech_init_attributes={},
glitter_type="drone",
glitter_register_per_voice=(2, 3, 4),
glitter_volume_per_voice=(0.01, 0.02, 0.04),
glitter_modulater_per_voice=("lfo", "randomi", "lfo"),
glitter_release_duration=7,
glitter_attack_duration=0.2,
include_glitter=True,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
segments.Chord(
"{}_Bell2".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(6, 1), ji.r(2, 1),
ji.r(9, 8)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="B", gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=17,
start=6,
dynamic_range_of_voices=(0.87, 1),
voices_entry_delay_per_voice=(0.015, 0, 0.03),
anticipation_time=1.25,
overlaying_time=1.25,
pteq_engine_per_voice=(
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
speech_init_attributes={},
include_glitter=False,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
segments.Silence(name="{}_silence1".format(name), duration=6),
)
def make(name: str = "ONE", gender=False, group=0, sub_group0=1):
return (
segments.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 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=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 make(name: str = "ONE", gender=True, group=0, sub_group0=0):
return (
segments.MelodicCP(
"{}_0".format(name),
volume_envelope=interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(11, 1),
interpolations.FloatInterpolationEvent(4, 1),
interpolations.FloatInterpolationEvent(0, 0.4),
]),
volume_envelope_per_track={
"voiceP0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(4, 0.7),
interpolations.FloatInterpolationEvent(6, 1.1),
interpolations.FloatInterpolationEvent(2, 1.1),
interpolations.FloatInterpolationEvent(0, 0.4),
]),
"divaP0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(4, 0.4),
interpolations.FloatInterpolationEvent(6, 1),
interpolations.FloatInterpolationEvent(2, 1),
interpolations.FloatInterpolationEvent(0, 0),
]),
"voiceP1":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0),
interpolations.FloatInterpolationEvent(0, 1),
]),
"voiceP2":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(3, 0),
interpolations.FloatInterpolationEvent(0, 1),
]),
},
ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(3, 1),
ji.r(5, 4)),
random_seed=1000,
group=(group, sub_group0, 0),
action_per_voice=(0.94, 0.93),
sound_per_voice=(0.89, 0.87),
phrases=(0, ),
melody_register=1,
melodic_weight=0,
weight_range=(0.3, 1),
harmonicity_range=(0.25, 1),
gender=gender,
duration_per_bar=13,
start=0,
dynamic_range_of_voices=(0.4, 0.75),
anticipation_time=3,
overlaying_time=2.2,
voices_overlaying_time=3.5,
glitter_attack_duration=infit.Gaussian(1.9, 0.15),
glitter_release_duration=infit.Gaussian(1, 0.15),
tremolo_maker_per_voice=(
None,
None,
tremolo.TremoloMaker(
add_tremolo_decider=infit.ActivityLevel(6),
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Gaussian, (0.2675, 0.11))),
tremolo_volume_factor=0.48,
),
),
pteq_engine_per_voice=(
pteq.mk_super_soft_leading_pte(
empty_attack_dynamic_maker=infit.Value(0.3),
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
sustain_pedal=1,
),
pteq.mk_dreamy_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.4),
),
pteq.mk_super_soft_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.3),
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
sustain_pedal=0,
),
),
diva_engine_per_voice=(
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
),
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, ),
chord=infit.Cycle((
harmony.find_harmony(name="A", gender=gender),
harmony.find_harmony(name="C", gender=gender),
)),
sample_maker=infit.Cycle((
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_BIG_AGGRESSIVE),
pitch_factor=infit.Uniform(2, 6),
resonance_filter_bandwidth=infit.Uniform(0.4, 2),
resonance_filter_octave=infit.Cycle(
(2, 4, 3, 4, 1, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_MIDDLE_AGGRESSIVE),
pitch_factor=infit.Uniform(2, 5),
resonance_filter_bandwidth=infit.Uniform(0.5, 2),
resonance_filter_octave=infit.Cycle(
(2, 3, 4, 1, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
)),
likelihood_range=(0.85, 0.285),
volume_range=(0.1, 0.5),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(1, ),
chord=infit.Cycle((
harmony.find_harmony(name="A", gender=gender),
harmony.find_harmony(name="C", gender=gender),
)),
sample_maker=infit.Cycle((
percussion.ResonanceSample(
path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE),
pitch_factor=infit.Gaussian(3, 5),
resonance_filter_bandwidth=infit.Gaussian(
0.8, 0.5),
resonance_filter_octave=infit.Cycle((2, )),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.3),
glissando_offset=0,
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD),
pitch_factor=infit.Gaussian(3, 4),
resonance_filter_bandwidth=infit.Uniform(0.5, 1),
resonance_filter_octave=infit.Cycle((2, )),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=0,
glissando_size=infit.Gaussian(1, 0.1),
),
)),
likelihood_range=(0.6, 0.1),
volume_range=(0.1, 0.8),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(0, 1, 2),
chord=infit.Cycle((harmony.find_harmony(name="B",
gender=gender), )),
sample_maker=infit.Cycle((
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((2, 4, 8, 4)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((16, 8, 4, 8, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((8, 4, 2, 4)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((8, 16, 8, 4, 8, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
)),
likelihood_range=(0.1, 0.5),
volume_range=(0.1, 0.5),
ignore_beats_occupied_by_voice=False,
),
),
speech_init_attributes={},
include_glitter=True,
include_diva=True,
include_natural_radio=True,
include_percussion=True,
radio_silent_channels=(1, 3, 5),
tracks2ignore=("speech0", "speech1", "speech2"),
radio_samples=(
globals.SAM_RADIO_PROCESSED_DEGRADE[0],
globals.SAM_RADIO_ITALY[-1],
globals.SAM_RADIO_BIELEFELD[-1],
),
radio_n_changes=8,
radio_average_volume=0.45,
radio_shadow_time=0.08,
radio_min_volume=0.955,
),
segments.MelodicCP(
"{}_1".format(name),
volume_envelope=interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(0.1, 0),
interpolations.FloatInterpolationEvent(0, 1),
]),
volume_envelope_per_track={
"voiceP0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(3, 0.5),
interpolations.FloatInterpolationEvent(18, 1),
interpolations.FloatInterpolationEvent(5, 1),
interpolations.FloatInterpolationEvent(0, 0),
]),
"voiceP1":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(21, 1),
interpolations.FloatInterpolationEvent(6, 1),
interpolations.FloatInterpolationEvent(3, 0.7),
interpolations.FloatInterpolationEvent(0, 0.135),
])
},
diva_engine_per_voice=(
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(3, 2), ji.r(3, 1),
ji.r(5, 4)),
random_seed=1000,
group=(group, sub_group0, 1),
action_per_voice=(0.94, 0.97),
sound_per_voice=(0.96, 0.96),
phrases=(1, 2),
melody_register=1,
melodic_weight=0,
weight_range=(0.5, 1),
harmonicity_range=(0.25, 1),
gender=gender,
duration_per_bar=13,
start=0.72,
glitter_attack_duration=infit.Gaussian(1, 0.15),
glitter_release_duration=infit.Gaussian(1, 0.15),
dynamic_range_of_voices=(0.55, 0.9),
anticipation_time=1,
overlaying_time=1.5,
voices_overlaying_time=4,
tremolo_maker_per_voice=(
None,
tremolo.TremoloMaker(
add_tremolo_decider=infit.ActivityLevel(6),
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Gaussian, (0.23, 0.12))),
tremolo_volume_factor=0.39,
),
tremolo.TremoloMaker(
add_tremolo_decider=infit.ActivityLevel(6),
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Gaussian, (0.09, 0.03))),
tremolo_volume_factor=0.42,
),
),
pteq_engine_per_voice=(
pteq.mk_super_soft_leading_pte(
empty_attack_dynamic_maker=infit.Value(0.2),
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
sustain_pedal=1,
),
pteq.mk_dreamy_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.2),
),
pteq.mk_super_soft_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.2),
),
),
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, ),
chord=infit.Cycle((
harmony.find_harmony(name="A", gender=gender),
harmony.find_harmony(name="C", gender=gender),
)),
sample_maker=infit.Cycle((
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_BIG_AGGRESSIVE),
pitch_factor=infit.Uniform(2, 6),
resonance_filter_bandwidth=infit.Uniform(0.4, 2),
resonance_filter_octave=infit.Cycle(
(2, 4, 3, 4, 1, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_MIDDLE_AGGRESSIVE),
pitch_factor=infit.Uniform(2, 5),
resonance_filter_bandwidth=infit.Uniform(0.5, 2),
resonance_filter_octave=infit.Cycle(
(2, 3, 4, 1, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
)),
likelihood_range=(0.89, 0.5),
volume_range=(0.1, 0.5),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(1, ),
chord=infit.Cycle((
harmony.find_harmony(name="B", gender=gender),
harmony.find_harmony(name="C", gender=gender),
)),
sample_maker=infit.Cycle((
percussion.ResonanceSample(
path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE),
pitch_factor=infit.Gaussian(3, 5),
resonance_filter_bandwidth=infit.Gaussian(
0.8, 0.5),
resonance_filter_octave=infit.Cycle((2, )),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.3),
glissando_offset=0,
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD),
pitch_factor=infit.Gaussian(3, 4),
resonance_filter_bandwidth=infit.Uniform(0.5, 1),
resonance_filter_octave=infit.Cycle((2, )),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=0,
glissando_size=infit.Gaussian(1, 0.1),
),
)),
likelihood_range=(0.8, 0.1),
volume_range=(0.1, 0.8),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(0, 1, 2),
chord=infit.Cycle((harmony.find_harmony(name="B",
gender=gender), )),
sample_maker=infit.Cycle((
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((2, 4, 8, 4)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_RADIO_ROEHRENRADIO_KEYS),
pitch_factor=infit.Uniform(0.8, 2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((16, 8, 4, 8, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((8, 4, 2, 4)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((8, 16, 8, 4, 8, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
)),
likelihood_range=(0.1, 0.7),
volume_range=(0.1, 0.5),
ignore_beats_occupied_by_voice=False,
),
),
speech_init_attributes={},
include_glitter=True,
include_diva=True,
include_natural_radio=True,
include_percussion=True,
radio_silent_channels=(1, 3),
tracks2ignore=("speech0", "speech1", "speech2"),
radio_samples=(
globals.SAM_RADIO_ITALY[-1],
globals.SAM_RADIO_BIELEFELD[-1],
),
radio_n_changes=8,
radio_average_volume=0.4,
radio_shadow_time=0.08,
radio_min_volume=0.955,
),
segments.Chord(
"{}_CF_BELL_0".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(7, 1), ji.r(2, 1),
ji.r(4, 3)),
group=(group, sub_group0, 2),
chord=harmony.find_harmony(name="A", gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=8,
start=-0.75,
dynamic_range_of_voices=(0.8, 1),
anticipation_time=0.1,
overlaying_time=0.25,
voices_entry_delay_per_voice=(0, 0.05, 0.08),
pteq_engine_per_voice=(
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_dreamy_pte(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
radio_samples=(
globals.SAM_RADIO_ITALY[-1],
globals.SAM_RADIO_BIELEFELD[-1],
),
speech_init_attributes={},
glitter_type="drone",
glitter_register_per_voice=(4, 5, 5),
glitter_volume_per_voice=(0.85, 0.94, 0.95),
glitter_modulater_per_voice=("lfo", "lfo", "lfo"),
glitter_release_duration=7,
glitter_attack_duration=0.2,
radio_shadow_time=0,
include_glitter=True,
include_diva=False,
include_natural_radio=True,
include_percussion=False,
),
segments.MelodicCP(
"{}_2".format(name),
volume_envelope=interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(0.1, 0),
interpolations.FloatInterpolationEvent(24, 1),
interpolations.FloatInterpolationEvent(3, 1),
interpolations.FloatInterpolationEvent(2, 0.9),
interpolations.FloatInterpolationEvent(0, 0.45),
]),
volume_envelope_per_track={
"voiceP0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0.65),
interpolations.FloatInterpolationEvent(30, 0.8),
interpolations.FloatInterpolationEvent(5, 0.8),
interpolations.FloatInterpolationEvent(0, 0.1),
])
},
ambitus_maker=ambitus.SymmetricalRanges(ji.r(8, 1), ji.r(3, 1),
ji.r(2, 1)),
random_seed=1000,
group=(group, sub_group0, 2),
action_per_voice=(0.82, 0.81),
sound_per_voice=(0.75, 0.74),
phrases=(3, 3),
melody_register=1,
melodic_weight=0,
weight_range=(0.5, 1),
harmonicity_range=(0.25, 1),
gender=gender,
duration_per_bar=12.75,
start=-3.5,
dynamic_range_of_voices=(0.3, 0.5),
anticipation_time=2,
overlaying_time=3.2,
voices_overlaying_time=4.5,
pteq_engine_per_voice=(
pteq.mk_super_soft_trippy_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(
activity_lv=7,
minima_glissando_duration=0.05,
maxima_glissando_duration=0.1,
minima_glissando_size=20,
maxima_glissando_size=70,
), ),
empty_attack_dynamic_maker=infit.Value(0.2),
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
sustain_pedal=0,
),
pteq.mk_super_soft_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.2),
fxp='"pbIII/fxp/Marimba_no_stretching.fxp"',
preset=None,
sustain_pedal=0,
),
pteq.mk_super_soft_pte(
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
empty_attack_dynamic_maker=infit.Value(0.2),
fxp='"pbIII/fxp/Marimba_no_stretching.fxp"',
preset=None,
sustain_pedal=0,
),
),
diva_engine_per_voice=(diva.FlageoletDivaMidiEngine, None, None),
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, 1, 2),
sample_maker=infit.Cycle((percussion.Sample(
path=infit.Cycle(globals.SAM_RADIO_ROEHRENRADIO_KEYS),
pitch_factor=infit.Uniform(0.8, 2),
distortion=infit.Uniform(0, 1, seed=0),
), )),
likelihood_range=(0.1, 0.2),
volume_range=(0, 0.001),
),
percussion.Rhythmizer(
voice_meters2occupy=(0, 1, 2),
sample_maker=infit.Cycle((percussion.Sample(
path=infit.Cycle(globals.SAM_RADIO_ROEHRENRADIO_KEYS),
pitch_factor=infit.Uniform(0.7, 1.7),
distortion=infit.Uniform(0, 2, seed=0),
), )),
likelihood_range=(0.08, 0.55),
volume_range=(0.54, 0.8),
ignore_beats_occupied_by_voice=True,
seed=39,
),
percussion.Rhythmizer(
voice_meters2occupy=(0, 1, 2),
sample_maker=infit.Cycle((percussion.Sample(
path=infit.Cycle(globals.SAM_RADIO_ROEHRENRADIO_KEYS),
pitch_factor=infit.Uniform(0.4, 1),
distortion=infit.Uniform(0.4, 1.8),
), )),
likelihood_range=(0.1, 0.2),
volume_range=(0, 0.01),
),
),
speech_init_attributes={},
include_glitter=True,
include_diva=True,
include_natural_radio=True,
include_percussion=True,
radio_silent_channels=tuple([]),
glitter_modulater_per_voice=("randomh", "randomh", "randomh"),
glitter_attack_duration=infit.Gaussian(0.75, 0.15),
glitter_release_duration=infit.Gaussian(1.8, 0.25),
tracks2ignore=("speech0", "speech1", "speech2"),
radio_samples=(globals.SAM_RADIO_ITALY[-1],
globals.SAM_RADIO_ITALY[-2]),
radio_n_changes=4,
radio_average_volume=0.4,
radio_shadow_time=0.08,
radio_min_volume=0.855,
),
segments.Silence(name="{}_silence0".format(name), duration=11),
)
def make(name: str = "THREE", gender=False, group=0, sub_group0=2):
return (
segments.Chord(
"{}_Bell0".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(4, 1), ji.r(2, 1),
ji.r(5, 4)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="A", idx=0, gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=5,
start=-2,
# start=0,
dynamic_range_of_voices=(0.3, 0.4),
voices_entry_delay_per_voice=(0.03, 0.07, 0.01),
anticipation_time=4,
overlaying_time=0,
pteq_engine_per_voice=(
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
speech_init_attributes={},
volume_envelope_per_track={
"glitterN01":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0),
interpolations.FloatInterpolationEvent(1, 0.5),
interpolations.FloatInterpolationEvent(4, 1.1),
interpolations.FloatInterpolationEvent(0, 0.1),
]),
"glitterN02":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0),
interpolations.FloatInterpolationEvent(1, 0.5),
interpolations.FloatInterpolationEvent(4, 1),
interpolations.FloatInterpolationEvent(0, 0.1),
]),
"glitterN12":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0),
interpolations.FloatInterpolationEvent(1, 0.5),
interpolations.FloatInterpolationEvent(4, 1),
interpolations.FloatInterpolationEvent(0, 0.1),
]),
},
glitter_type="drone",
glitter_wave_form_per_voice=("square", "sine", "sine"),
glitter_register_per_voice=(3, 4, 4),
glitter_volume_per_voice=(3.85, 4.5, 4.5),
glitter_modulater_per_voice=(None, None, None),
glitter_release_duration=4,
glitter_attack_duration=4,
include_glitter=True,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
segments.FreeStyleCP(
"{}_0".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(12, 5),
ji.r(9, 5)),
diva_engine_per_voice=(
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
),
group=(group, sub_group0, 0),
start_harmony=harmony.find_harmony("A",
True,
0,
tuple([]),
gender=gender),
energy_per_voice=(9, 10, 9),
silence_decider_per_voice=(
infit.ActivityLevel(2),
infit.ActivityLevel(3),
infit.ActivityLevel(3),
),
weight_range=(5, 10),
decision_type="activity",
gender=gender,
n_bars=3,
duration_per_bar=12.75,
start=-5,
dynamic_range_of_voices=(0.175, 0.55),
anticipation_time=2,
overlaying_time=1.25,
cp_add_dissonant_pitches_to_nth_voice=(False, True, True),
cp_constraints_interpolation=(
counterpoint.constraints.AP_tremolo(
0,
add_tremolo_decider=infit.ActivityLevel(10),
only_on_non_dissonant_pitches=False,
define_tremolo_tones_as_dissonant=False,
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Cycle, ((7, 12, 8, 15, 10, 8, 10), ))),
),
counterpoint.constraints.AP_tremolo(
1,
add_tremolo_decider=infit.ActivityLevel(8),
only_on_non_dissonant_pitches=True,
define_tremolo_tones_as_dissonant=False,
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Cycle, ((7, 12, 8, 15, 10, 8, 10), ))),
),
counterpoint.constraints.AP_tremolo(
2,
add_tremolo_decider=infit.ActivityLevel(8),
only_on_non_dissonant_pitches=True,
define_tremolo_tones_as_dissonant=False,
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Cycle, ((6, 9, 8, 12, 10, 8, 10, 13, 6, 4), ))),
),
),
volume_envelope_per_track={
"voiceN0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(20, 1),
interpolations.FloatInterpolationEvent(0, 1),
])
},
glitter_include_dissonant_pitches=False,
voices_overlaying_time=2,
pteq_engine_per_voice=(
pteq.mk_soft_leading_overdrive_harp_pte(
fxp='"pbIII/fxp/Harp_with_overdrive.fxp"',
preset=None,
sustain_pedal=1,
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
),
pteq.mk_super_dreamy_pte(
empty_attack_dynamic_maker=infit.Uniform(0.15, 0.3),
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
convert_dissonant_tones2glissandi=True,
),
pteq.mk_super_dreamy_pte(
empty_attack_dynamic_maker=infit.Uniform(0.15, 0.3),
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
convert_dissonant_tones2glissandi=True,
),
),
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, ),
sample_maker=infit.Cycle((
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((1, 2, 0.25, 1)),
glissando_size=infit.Gaussian(0.8, 0.2),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.1, 0.5),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((0.5, 1, 0.25, 1, 0.5)),
glissando_size=infit.Gaussian(0.9, 0.1),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.2, 0.5),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_FAR_HAND),
frequency=globals.SAM_KENDANG_LOW_LOW_FAR_HAND.
information["frequency"],
pitch_factor=infit.Cycle((1, 0.25, 1, 0.5)),
glissando_size=infit.Gaussian(1.15, 0.2),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.3, 0.5),
),
)),
likelihood_range=(0.1, 0.7),
volume_range=(0.3, 0.45),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(1, ),
sample_maker=infit.Cycle((
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_FAR_MALLET),
frequency=globals.SAM_KENDANG_LOW_LOW_FAR_MALLET.
information["frequency"],
pitch_factor=infit.Cycle((0.5, 1, 0.25, 1, 0.5)),
distortion=infit.Uniform(0, 1),
glissando_size=infit.Gaussian(1.15, 0.1),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.25, 0.5),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET),
frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET.
information["frequency"],
pitch_factor=infit.Cycle((1, 2, 0.25, 1)),
distortion=infit.Uniform(0, 0.5),
glissando_size=infit.Gaussian(0.9, 0.1),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.25, 0.48),
),
)),
likelihood_range=(0.1, 0.655),
volume_range=(0.45, 0.6),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(2, ),
sample_maker=infit.Cycle((percussion.Sample(
path=infit.Cycle(globals.SAM_RADIO_ROEHRENRADIO_KEYS),
pitch_factor=infit.Uniform(1.4, 2.75),
distortion=infit.Uniform(0.3, 1),
), )),
likelihood_range=(0.08, 0.26),
volume_range=(0.54, 0.8),
ignore_beats_occupied_by_voice=False,
seed=39,
),
),
speech_init_attributes={},
glitter_modulater_per_voice=(None, None, None),
glitter_attack_duration=infit.Gaussian(1.9, 0.3),
glitter_release_duration=infit.Gaussian(2, 0.2),
include_glitter=True,
include_diva=True,
include_natural_radio=True,
include_percussion=True,
# radio_silent_channels=(0, 2, 4),
radio_samples=(
globals.SAM_RADIO_ROEHRENRADIO_FAR_KURZWELLE[0],
globals.SAM_RADIO_ROEHRENRADIO_CLOSE_KURZWELLE[0],
),
radio_n_changes=3,
radio_average_volume=0.34,
radio_shadow_time=0.02,
radio_min_volume=0.7,
radio_attack_duration=infit.Gaussian(2, 0.1),
radio_release_duration=infit.Gaussian(5.2, 0.2),
),
segments.FreeStyleCP(
"{}_1".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(7, 4), ji.r(8, 3),
ji.r(9, 7)),
diva_engine_per_voice=(
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
diva.FlageoletDivaMidiEngine,
),
group=(group, sub_group0, 1),
start_harmony=harmony.find_harmony("A",
True,
0,
tuple([]),
gender=gender),
energy_per_voice=(8.5, 5, 6),
silence_decider_per_voice=(
infit.ActivityLevel(1),
infit.ActivityLevel(1),
infit.ActivityLevel(1),
),
weight_range=(0.5, 1),
decision_type="random",
random_seed=1000,
gender=gender,
n_bars=2,
duration_per_bar=12.5,
start=0.33,
dynamic_range_of_voices=(0.185, 0.88),
anticipation_time=1.5,
overlaying_time=1.25,
cp_add_dissonant_pitches_to_nth_voice=(False, True, True),
cp_constraints_interpolation=(
counterpoint.constraints.AP_tremolo(
0,
add_tremolo_decider=infit.ActivityLevel(10),
only_on_non_dissonant_pitches=False,
define_tremolo_tones_as_dissonant=False,
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Cycle, ((7, 12, 8, 15, 10, 8, 10), ))),
),
counterpoint.constraints.AP_tremolo(
1,
add_tremolo_decider=infit.ActivityLevel(9),
only_on_non_dissonant_pitches=True,
define_tremolo_tones_as_dissonant=False,
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Cycle, ((7, 12, 8, 15, 10, 8, 10), ))),
),
counterpoint.constraints.AP_tremolo(
2,
add_tremolo_decider=infit.ActivityLevel(9),
only_on_non_dissonant_pitches=True,
define_tremolo_tones_as_dissonant=False,
tremolo_size_generator_per_tone=infit.MetaCycle(
(infit.Cycle, ((6, 9, 8, 12, 10, 8, 10, 13, 6, 4), ))),
),
),
volume_envelope_per_track={
"voiceN0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(20, 1),
interpolations.FloatInterpolationEvent(0, 1),
])
},
glitter_include_dissonant_pitches=False,
voices_overlaying_time=2,
pteq_engine_per_voice=(
pteq.mk_soft_leading_overdrive_harp_pte(
fxp='"pbIII/fxp/Harp_with_overdrive.fxp"',
preset=None,
sustain_pedal=1,
),
pteq.mk_dreamy_pte(
empty_attack_dynamic_maker=infit.Uniform(0.15, 0.3),
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
convert_dissonant_tones2glissandi=True,
),
pteq.mk_dreamy_pte(
empty_attack_dynamic_maker=infit.Uniform(0.15, 0.3),
modulator=(ornamentations.SoftLineGlissandoMaker(), ),
convert_dissonant_tones2glissandi=True,
),
),
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, ),
sample_maker=infit.Cycle((
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((1, 2, 0.25, 1)),
glissando_size=infit.Gaussian(0.8, 0.2),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.1, 0.5),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((0.5, 1, 0.25, 1, 0.5)),
glissando_size=infit.Gaussian(0.9, 0.1),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.2, 0.5),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_FAR_HAND),
frequency=globals.SAM_KENDANG_LOW_LOW_FAR_HAND.
information["frequency"],
pitch_factor=infit.Cycle((1, 0.25, 1, 0.5)),
glissando_size=infit.Gaussian(1.15, 0.2),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.3, 0.5),
),
)),
likelihood_range=(0.15, 0.9),
volume_range=(0.3, 0.45),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(1, ),
sample_maker=infit.Cycle((
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_FAR_MALLET),
frequency=globals.SAM_KENDANG_LOW_LOW_FAR_MALLET.
information["frequency"],
pitch_factor=infit.Cycle((0.5, 1, 0.25, 1, 0.5)),
distortion=infit.Uniform(0, 1),
glissando_size=infit.Gaussian(1.15, 0.1),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.25, 0.5),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET),
frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_MALLET.
information["frequency"],
pitch_factor=infit.Cycle((1, 2, 0.25, 1)),
distortion=infit.Uniform(0, 0.5),
glissando_size=infit.Gaussian(0.9, 0.1),
glissando_offset=0,
glissando_direction=True,
glissando_duration=infit.Uniform(0.25, 0.48),
),
)),
likelihood_range=(0.15, 0.855),
volume_range=(0.45, 0.6),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(2, ),
sample_maker=infit.Cycle((percussion.Sample(
path=infit.Cycle(globals.SAM_RADIO_ROEHRENRADIO_KEYS),
pitch_factor=infit.Uniform(1.4, 2.75),
distortion=infit.Uniform(0.3, 1),
), )),
likelihood_range=(0.08, 0.26),
volume_range=(0.54, 0.8),
ignore_beats_occupied_by_voice=False,
seed=39,
),
),
speech_init_attributes={},
glitter_modulater_per_voice=(None, None, None),
glitter_attack_duration=infit.Gaussian(1.9, 0.3),
glitter_release_duration=infit.Gaussian(2, 0.2),
include_glitter=True,
include_diva=True,
include_natural_radio=True,
include_percussion=True,
# radio_silent_channels=(0, 2, 4),
radio_samples=(
globals.SAM_RADIO_ROEHRENRADIO_FAR_KURZWELLE[0],
globals.SAM_RADIO_ROEHRENRADIO_CLOSE_KURZWELLE[0],
),
radio_n_changes=5,
radio_average_volume=0.4,
radio_shadow_time=0.02,
radio_min_volume=0.8,
radio_attack_duration=infit.Gaussian(2, 0.1),
radio_release_duration=infit.Gaussian(5.2, 0.2),
),
)
def make(name: str = "ONE", gender=True, group=0, sub_group0=0):
return (segments.Chord(
"{}_fadeIn".format(name),
volume_envelope=interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(5, 0),
interpolations.FloatInterpolationEvent(4, 0.35),
interpolations.FloatInterpolationEvent(0.2, 1),
interpolations.FloatInterpolationEvent(0, 1),
]),
volume_envelope_per_track={
"percussion_P2":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(3, 0),
interpolations.FloatInterpolationEvent(10, 0),
interpolations.FloatInterpolationEvent(0, 1),
]),
"percussion_P1":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0),
interpolations.FloatInterpolationEvent(10, 0),
interpolations.FloatInterpolationEvent(0, 1),
]),
"percussion_P0":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(2, 0),
interpolations.FloatInterpolationEvent(10, 0),
interpolations.FloatInterpolationEvent(0, 1),
]),
},
ambitus_maker=ambitus.SymmetricalRanges(ji.r(2, 1), ji.r(2, 1),
ji.r(9, 8)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="A", gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=14,
start=0,
dynamic_range_of_voices=(0.8, 0.9),
anticipation_time=1.25,
overlaying_time=1.25,
percussion_engine_per_voice=(
percussion.Rhythmizer(
voice_meters2occupy=(0, ),
chord=infit.Cycle((
harmony.find_harmony(name="A", gender=gender),
harmony.find_harmony(name="C", gender=gender),
)),
sample_maker=infit.Cycle((
percussion.ResonanceSample(
path=infit.Cycle(globals.SAM_CYMBALS_BIG_AGGRESSIVE),
pitch_factor=infit.Uniform(2, 6),
resonance_filter_bandwidth=infit.Uniform(0.4, 2),
resonance_filter_octave=infit.Cycle(
(2, 4, 3, 4, 1, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_MIDDLE_AGGRESSIVE),
pitch_factor=infit.Uniform(2, 5),
resonance_filter_bandwidth=infit.Uniform(0.5, 2),
resonance_filter_octave=infit.Cycle((2, 3, 4, 1, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
)),
likelihood_range=(0.5, 0.1),
volume_range=(0.1, 0.5),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(1, ),
chord=infit.Cycle((
harmony.find_harmony(name="A", gender=gender),
harmony.find_harmony(name="C", gender=gender),
)),
sample_maker=infit.Cycle((
percussion.ResonanceSample(
path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE),
pitch_factor=infit.Gaussian(4, 6),
resonance_filter_bandwidth=infit.Gaussian(0.4, 0.3),
resonance_filter_octave=infit.Cycle((2, )),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.3),
glissando_offset=0,
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.ResonanceSample(
path=infit.Cycle(
globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD),
pitch_factor=infit.Gaussian(3, 4),
resonance_filter_bandwidth=infit.Uniform(0.5, 1),
resonance_filter_octave=infit.Cycle((2, )),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=0,
glissando_size=infit.Gaussian(1, 0.1),
),
)),
likelihood_range=(0.6, 0.1),
volume_range=(0.1, 0.8),
ignore_beats_occupied_by_voice=False,
),
percussion.Rhythmizer(
voice_meters2occupy=(0, 1, 2),
chord=infit.Cycle((harmony.find_harmony(name="B",
gender=gender), )),
sample_maker=infit.Cycle((
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((2, 4, 8, 4)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((16, 8, 4, 8, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_HIGH_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((8, 4, 2, 4)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
percussion.Sample(
path=infit.Cycle(
globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND),
frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND.
information["frequency"],
pitch_factor=infit.Cycle((8, 16, 8, 4, 8, 2)),
glissando_direction=True,
glissando_duration=infit.Uniform(0.001, 0.2),
glissando_offset=infit.Uniform(0, 0.1),
glissando_size=infit.Gaussian(1, 0.2),
),
)),
likelihood_range=(0.1, 0.5),
volume_range=(0.1, 0.5),
ignore_beats_occupied_by_voice=False,
),
),
radio_samples=(
globals.SAM_RADIO_PROCESSED_DEGRADE[0],
globals.SAM_RADIO_BIELEFELD[-1],
),
radio_average_volume=0.75,
radio_min_volume=0.955,
speech_init_attributes={},
include_glitter=False,
include_diva=False,
include_natural_radio=True,
include_percussion=True,
include_voices=False,
), )
def __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 = "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 make(name: str = "ONE", gender=False, group=0, sub_group0=1):
return (
segments.DensityBasedRhythmicCP(
"{}_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=-3,
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=(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.DensityBasedRhythmicCP(
# "{}_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,),
# sample_maker=infit.Cycle(
# (
# percussion.Sample(
# path=infit.Cycle(globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD),
# pitch_factor=infit.Uniform(1, 4),
# distortion=infit.Uniform(0, 0.1),
# ),
# percussion.Sample(
# path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE),
# pitch_factor=infit.Uniform(0.25, 2),
# distortion=infit.Uniform(0, 0.1),
# ),
# )
# ),
# volume_range=(0.1, 0.8),
# likelihood_range=(0.4, 1),
# ignore_beats_occupied_by_voice=False,
# ),
# percussion.Rhythmizer(
# voice_meters2occupy=(1,),
# sample_maker=infit.Cycle(
# (
# percussion.Sample(
# path=infit.Cycle(globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD),
# pitch_factor=infit.Uniform(0.5, 2),
# glissando_duration=infit.Uniform(0, 0.5),
# glissando_direction=infit.Cycle((True, False)),
# glissando_offset=infit.Uniform(0, 0.1),
# glissando_size=infit.Uniform(1, 1.2),
# ),
# percussion.Sample(
# path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE),
# pitch_factor=infit.Uniform(0.5, 2),
# glissando_duration=infit.Uniform(0, 0.5),
# glissando_direction=infit.Cycle((True, False)),
# glissando_offset=infit.Uniform(0, 0.1),
# glissando_size=infit.Uniform(1, 1.15),
# ),
# )
# ),
# likelihood_range=(0.4, 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_CYMBALS_BIG_CLOSE),
# 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=(0.4, 1),
# 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,
# ),
)
from pbIII.segments import segments
from pbIII.globals import globals
GROUP0 = 4
SUB_GROUP0 = 1
# SUB_GROUP0 = 0
GENDER = False
PART = (
segments.DensityBasedThreeVoiceCP(
"part0_0",
# ambitus_maker=ambitus.SymmetricalRanges(ji.r(4, 1), ji.r(5, 2), ji.r(5, 4)),
group=(GROUP0, SUB_GROUP0, 0),
start_harmony=harmony.find_harmony("A", True, 0, (1, 2), gender=GENDER),
density_per_voice=(0.75, 0.95, 0.875),
gender=GENDER,
n_bars=3,
duration_per_bar=19,
dynamic_range_of_voices=(0.285, 0.9),
anticipation_time=1,
overlaying_time=1,
cp_constraints_harmonic=(
counterpoint.constraints.HR_forbid_too_empty_harmonies(1, [0]),
# counterpoint.constraints.HR_nth_voice_contain_all_possible_pitches(2),
),
cp_constraints_interpolation=(
counterpoint.constraints.AP_tremolo(
1, add_tremolo_decider=infit.ActivityLevel(4)
),
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=False, group=0, sub_group0=1):
return (
segments.Silence(name="{}_start_silence".format(name), duration=18),
segments.Chord(
"{}_Speech0".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(7, 1), ji.r(2, 1), ji.r(4, 3)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="A", gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=34,
start=0,
dynamic_range_of_voices=(0.8, 1),
anticipation_time=2.25,
overlaying_time=3.25,
speech_init_attributes={
"speech0": {
"start": 0,
"duration": 35,
"sound_engine": speech.BrokenRadio(
(globals.SAM_SPEECH_SLICED_DERRIDA_KAFKA.path,),
duration=32,
volume=0.42,
activity_lv_per_effect={
"original": 8,
"harmonizer": 6,
"filter": 10,
"noise": 10,
"lorenz": 10,
"chenlee": 6,
},
level_per_effect={
"original": infit.Gaussian(0.4, 0.05),
"filter": infit.Gaussian(10.2, 2.25),
"harmonizer": infit.Gaussian(0.7, 0.15),
"chenlee": infit.Gaussian(0.1, 0.02),
"lorenz": infit.Gaussian(0.4, 0.02),
"noise": infit.Gaussian(0.32, 0.04),
},
transpo_maker=infit.Uniform(0.14, 0.8),
filter_freq_maker=infit.Gaussian(110, 50),
filter_q_maker=infit.Gaussian(5, 1),
curve=interpolations.InterpolationLine(
[
interpolations.FloatInterpolationEvent(0.25, 0.01),
interpolations.FloatInterpolationEvent(0.8, 1),
interpolations.FloatInterpolationEvent(0.3, 1),
interpolations.FloatInterpolationEvent(0, 0.1),
]
),
),
},
"speech1": {
"start": 0.1,
"duration": 35,
"sound_engine": speech.BrokenRadio(
(globals.SAM_SPEECH_SLICED_DERRIDA_KAFKA.path,),
duration=32,
volume=0.3,
activity_lv_per_effect={
"original": 6,
"harmonizer": 4,
"filter": 9,
"noise": 9,
"lorenz": 8,
"chenlee": 7,
},
level_per_effect={
"original": infit.Gaussian(0.4, 0.05),
"filter": infit.Gaussian(10.2, 2.25),
"harmonizer": infit.Gaussian(0.7, 0.15),
"chenlee": infit.Gaussian(0.1, 0.02),
"lorenz": infit.Gaussian(0.4, 0.02),
"noise": infit.Gaussian(0.32, 0.04),
},
transpo_maker=infit.Uniform(1.14, 1.5),
filter_freq_maker=infit.Gaussian(200, 50),
filter_q_maker=infit.Gaussian(5, 1),
curve=interpolations.InterpolationLine(
[
interpolations.FloatInterpolationEvent(0.3, 0.01),
interpolations.FloatInterpolationEvent(0.8, 1),
interpolations.FloatInterpolationEvent(0.3, 1),
interpolations.FloatInterpolationEvent(0, 0.1),
]
),
),
},
"speech2": {
"start": 0.075,
"duration": 35,
"sound_engine": speech.BrokenRadio(
(globals.SAM_SPEECH_SLICED_DERRIDA_KAFKA.path,),
duration=32,
volume=0.34,
activity_lv_per_effect={
"original": 6,
"harmonizer": 4,
"filter": 9,
"noise": 9,
"lorenz": 8,
"chenlee": 7,
},
level_per_effect={
"original": infit.Gaussian(0.4, 0.05),
"filter": infit.Gaussian(10.2, 2.25),
"harmonizer": infit.Gaussian(0.7, 0.15),
"chenlee": infit.Gaussian(0.1, 0.02),
"lorenz": infit.Gaussian(0.4, 0.02),
"noise": infit.Gaussian(0.32, 0.04),
},
transpo_maker=infit.Uniform(1.14, 1.5),
filter_freq_maker=infit.Gaussian(200, 50),
filter_q_maker=infit.Gaussian(5, 1),
curve=interpolations.InterpolationLine(
[
interpolations.FloatInterpolationEvent(0.4, 0.01),
interpolations.FloatInterpolationEvent(0.8, 1),
interpolations.FloatInterpolationEvent(0.3, 1),
interpolations.FloatInterpolationEvent(0, 0.1),
]
),
),
},
},
include_glitter=False,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
include_voices=False,
),
)
def make(name: str = "TWO", gender=False, group=0, sub_group0=1):
return (
segments.Chord(
"{}_Bell0".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(7, 1), ji.r(2, 1),
ji.r(5, 4)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="A", idx=0, gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=15,
start=0,
dynamic_range_of_voices=(0.3, 0.385),
voices_entry_delay_per_voice=(0.03, 0, 0.05),
anticipation_time=1.25,
overlaying_time=1.25,
pteq_engine_per_voice=(
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_pianoteq_engine(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
speech_init_attributes={},
include_glitter=False,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
segments.Chord(
"{}_Bell1".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(11, 1), ji.r(2, 1),
ji.r(15, 8)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="B", idx=0, gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=8,
start=-12.7,
dynamic_range_of_voices=(0.45, 0.55),
anticipation_time=0.2,
overlaying_time=1.25,
glitter_modulater_per_voice=("randomh", "randomh", "randomh"),
pteq_engine_per_voice=(
pteq.mk_bright_bell(
fxp='"pbIII/fxp/Bells_no_stretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
include_glitter=False,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
segments.Chord(
"{}_Bell2".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(13, 1), ji.r(2, 1),
ji.r(15, 8)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="F", idx=0, gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=14,
start=5.75,
dynamic_range_of_voices=(0.8, 0.9),
anticipation_time=0,
overlaying_time=0,
voices_entry_delay_per_voice=(0, 0.05, 0.1),
pteq_engine_per_voice=(
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
glitter_type="drone",
glitter_register_per_voice=(5, 5, 5),
glitter_volume_per_voice=(0.3, 0.3, 0.3),
glitter_modulater_per_voice=(None, None, None),
glitter_release_duration=7,
glitter_attack_duration=0.5,
include_glitter=True,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
segments.Chord(
"{}_Bell3".format(name),
ambitus_maker=ambitus.SymmetricalRanges(ji.r(4, 1), ji.r(2, 1),
ji.r(5, 4)),
group=(group, sub_group0, 0),
chord=harmony.find_harmony(name="A", idx=0, gender=gender),
gender=gender,
n_bars=1,
duration_per_bar=10,
start=-4.25,
# start=0,
dynamic_range_of_voices=(0.95, 1),
voices_entry_delay_per_voice=(0, 0.15, 0.225),
anticipation_time=5.5,
overlaying_time=0,
pteq_engine_per_voice=(
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
pteq.mk_bright_bell(
fxp='"pbIII/fxp/GlockenspielHumanizednostretching.fxp"',
preset=None,
empty_attack_dynamic_maker=infit.Value(0),
),
),
speech_init_attributes={},
volume_envelope_per_track={
"glitterN01":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(3, 0),
interpolations.FloatInterpolationEvent(2, 0.5),
interpolations.FloatInterpolationEvent(5, 1),
interpolations.FloatInterpolationEvent(0, 0.3),
]),
"glitterN02":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(3, 0),
interpolations.FloatInterpolationEvent(2, 0.5),
interpolations.FloatInterpolationEvent(5, 1),
interpolations.FloatInterpolationEvent(0, 0.3),
]),
"glitterN12":
interpolations.InterpolationLine([
interpolations.FloatInterpolationEvent(3, 0),
interpolations.FloatInterpolationEvent(2, 0.5),
interpolations.FloatInterpolationEvent(5, 1),
interpolations.FloatInterpolationEvent(0, 0.3),
]),
},
glitter_type="drone",
glitter_register_per_voice=(5, 5, 5),
glitter_volume_per_voice=(3.5, 3.5, 3.5),
glitter_modulater_per_voice=(None, None, None),
glitter_release_duration=5,
glitter_attack_duration=8,
include_glitter=True,
include_diva=False,
include_natural_radio=False,
include_percussion=False,
),
)