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, ), )