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