Exemplo n.º 1
0
         ),
     ),
 ),
 pteq_engine_per_voice=(
     pteq.mk_dreamy_pte(modulator=(ornamentations.SoftLineGlissandoMaker(),)),
     pteq.mk_dreamy_pte(modulator=(ornamentations.SoftLineGlissandoMaker(),)),
     pteq.mk_dreamy_pte(),
 ),
 percussion_engine_per_voice=(
     percussion.Rhythmizer(
         sample_maker=infit.Cycle(
             (
                 percussion.Sample(
                     path=infit.Cycle(globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND),
                     frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND.information[
                         "frequency"
                     ],
                     pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)),
                 ),
                 percussion.Sample(
                     path=infit.Cycle(globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND),
                     frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND.information[
                         "frequency"
                     ],
                     pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)),
                 ),
                 percussion.Sample(
                     path=infit.Cycle(globals.SAM_KENDANG_HIGH_LOW_FAR_HAND),
                     frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_HAND.information[
                         "frequency"
                     ],
Exemplo n.º 2
0
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 = "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,
    ), )
Exemplo n.º 4
0
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={},
        ),
    )
Exemplo n.º 5
0
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,
        ),
    )
Exemplo n.º 6
0
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,
    ), )
Exemplo n.º 7
0
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
            #         ),
            #     },
            # },
        ),
    )
Exemplo n.º 8
0
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,
        ),
    )
Exemplo n.º 9
0
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),
    )
Exemplo n.º 10
0
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,
        ), )
Exemplo n.º 11
0
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),
        ),
    )
Exemplo n.º 12
0
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,
    ), )
Exemplo n.º 13
0
         empty_attack_dynamic_maker=infit.Value(0.2)),
     pteq.mk_dreamy_pte(
         # modulator=(ornamentations.SoftLineGlissandoMaker(),),
         empty_attack_dynamic_maker=infit.Value(0.2)),
     pteq.mk_dreamy_pte(
         # modulator=(ornamentations.SoftLineGlissandoMaker(),),
         empty_attack_dynamic_maker=infit.Value(0.2)),
 ),
 percussion_engine_per_voice=(
     percussion.Rhythmizer(
         voice_meters2occupy=(0, ),
         sample_maker=infit.Cycle((
             percussion.Sample(
                 path=infit.Cycle(
                     globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND),
                 frequency=globals.SAM_KENDANG_LOW_LOW_CLOSE_HAND.
                 information["frequency"],
                 pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)),
             ),
             percussion.Sample(
                 path=infit.Cycle(
                     globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND),
                 frequency=globals.SAM_KENDANG_HIGH_LOW_CLOSE_HAND.
                 information["frequency"],
                 pitch_factor=infit.Cycle((0.5, 1, 0.25, 1)),
             ),
             percussion.Sample(
                 path=infit.Cycle(
                     globals.SAM_KENDANG_HIGH_LOW_FAR_HAND),
                 frequency=globals.SAM_KENDANG_HIGH_LOW_FAR_HAND.
                 information["frequency"],