Exemplo n.º 1
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 2
0
def make(name: str = "ONE", gender=False, group=0, sub_group0=1):
    return (
        segments.DensityBasedRhythmicCP(
            "{}_1".format(name),
            ambitus_maker=ambitus.SymmetricalRanges(ji.r(16, 5), ji.r(5, 2),
                                                    ji.r(8, 5)),
            group=(group, sub_group0, 1),
            start_harmony=harmony.find_harmony("A",
                                               True,
                                               0, (0, ),
                                               gender=gender),
            density_per_voice=(0, 0.6, 0.6),
            gender=gender,
            n_bars=1,
            duration_per_bar=10,
            start=-3,
            dynamic_range_of_voices=(0.15, 0.45),
            anticipation_time=1.5,
            overlaying_time=1.5,
            cp_constraints_harmonic=(
                counterpoint.constraints.HR_forbid_too_empty_harmonies(1,
                                                                       [0]), ),
            cp_constraints_interpolation=[],
            cp_add_dissonant_pitches_to_nth_voice=(True, True, True),
            pteq_engine_per_voice=(
                pteq.mk_super_dreamy_pte(
                    empty_attack_dynamic_maker=infit.Value(0),
                    modulator=(
                        ornamentations.SoftLineGlissandoMaker(
                            maxima_glissando_duration=0.35,
                            maxima_glissando_size=180), ),
                    convert_dissonant_tones2glissandi=True,
                ),
                pteq.mk_super_dreamy_pte(
                    empty_attack_dynamic_maker=infit.Value(0),
                    modulator=(
                        ornamentations.SoftLineGlissandoMaker(
                            maxima_glissando_duration=0.35,
                            maxima_glissando_size=180), ),
                    convert_dissonant_tones2glissandi=True,
                ),
                pteq.mk_super_dreamy_pte(
                    empty_attack_dynamic_maker=infit.Value(0),
                    modulator=(
                        ornamentations.SoftLineGlissandoMaker(
                            maxima_glissando_duration=0.35,
                            maxima_glissando_size=180), ),
                    convert_dissonant_tones2glissandi=True,
                ),
            ),
            speech_init_attributes={},
            include_glitter=True,
            include_diva=False,
            include_natural_radio=True,
            include_percussion=False,
            radio_silent_channels=(1, 3, 5),
            radio_samples=(
                "pbIII/samples/radio/carolina/3.wav",
                "pbIII/samples/radio/carolina/1.wav",
            ),
            radio_n_changes=0,
            radio_average_volume=0.2,
            radio_shadow_time=0.175,
            radio_min_volume=0.875,
            glitter_include_dissonant_pitches=False,
        ),
        # segments.DensityBasedRhythmicCP(
        #     "{}_2".format(name),
        #     ambitus_maker=ambitus.SymmetricalRanges(ji.r(6, 1), ji.r(5, 2), ji.r(9, 4)),
        #     group=(group, sub_group0, 2),
        #     start_harmony=harmony.find_harmony("A", True, 0, (0,), gender=gender),
        #     density_per_voice=(0.775, 1, 1),
        #     gender=gender,
        #     n_bars=3,
        #     duration_per_bar=7,
        #     start=4.5,
        #     dynamic_range_of_voices=(0.1, 0.2),
        #     anticipation_time=1.25,
        #     overlaying_time=1.25,
        #     cp_add_dissonant_pitches_to_nth_voice=(False, False, True),
        #     cp_constraints_harmonic=(
        #         counterpoint.constraints.HR_forbid_too_empty_harmonies(1, [0]),
        #     ),
        #     cp_constraints_interpolation=[],
        #     glitter_include_dissonant_pitches=False,
        #     pteq_engine_per_voice=(
        #         pteq.mk_dreamy_pte(
        #             fxp='"pbIII/fxp/VibraphoneV-BHumanizednostretching.fxp"',
        #             preset=None,
        #             empty_attack_dynamic_maker=infit.Value(0),
        #         ),
        #         pteq.mk_dreamy_pte(
        #             empty_attack_dynamic_maker=infit.Value(0),
        #             modulator=(
        #                 ornamentations.SoftLineGlissandoMaker(
        #                     maxima_glissando_duration=0.35, maxima_glissando_size=180
        #                 ),
        #             ),
        #         ),
        #         pteq.mk_dreamy_pte(
        #             empty_attack_dynamic_maker=infit.Value(0),
        #             modulator=(
        #                 ornamentations.SoftLineGlissandoMaker(
        #                     maxima_glissando_duration=0.35, maxima_glissando_size=180
        #                 ),
        #             ),
        #         ),
        #     ),
        #     speech_init_attributes={},
        #     include_glitter=True,
        #     include_diva=False,
        #     include_natural_radio=True,
        #     include_percussion=True,
        #     percussion_engine_per_voice=(
        #         percussion.Rhythmizer(
        #             voice_meters2occupy=(0,),
        #             sample_maker=infit.Cycle(
        #                 (
        #                     percussion.Sample(
        #                         path=infit.Cycle(globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD),
        #                         pitch_factor=infit.Uniform(1, 4),
        #                         distortion=infit.Uniform(0, 0.1),
        #                     ),
        #                     percussion.Sample(
        #                         path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE),
        #                         pitch_factor=infit.Uniform(0.25, 2),
        #                         distortion=infit.Uniform(0, 0.1),
        #                     ),
        #                 )
        #             ),
        #             volume_range=(0.1, 0.8),
        #             likelihood_range=(0.4, 1),
        #             ignore_beats_occupied_by_voice=False,
        #         ),
        #         percussion.Rhythmizer(
        #             voice_meters2occupy=(1,),
        #             sample_maker=infit.Cycle(
        #                 (
        #                     percussion.Sample(
        #                         path=infit.Cycle(globals.SAM_CYMBALS_MIDDLE_CLOSE_LOUD),
        #                         pitch_factor=infit.Uniform(0.5, 2),
        #                         glissando_duration=infit.Uniform(0, 0.5),
        #                         glissando_direction=infit.Cycle((True, False)),
        #                         glissando_offset=infit.Uniform(0, 0.1),
        #                         glissando_size=infit.Uniform(1, 1.2),
        #                     ),
        #                     percussion.Sample(
        #                         path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE),
        #                         pitch_factor=infit.Uniform(0.5, 2),
        #                         glissando_duration=infit.Uniform(0, 0.5),
        #                         glissando_direction=infit.Cycle((True, False)),
        #                         glissando_offset=infit.Uniform(0, 0.1),
        #                         glissando_size=infit.Uniform(1, 1.15),
        #                     ),
        #                 )
        #             ),
        #             likelihood_range=(0.4, 1),
        #             volume_range=(0.1, 0.8),
        #             ignore_beats_occupied_by_voice=False,
        #         ),
        #         percussion.Rhythmizer(
        #             voice_meters2occupy=(2,),
        #             sample_maker=infit.Cycle(
        #                 (
        #                     percussion.Sample(
        #                         path=infit.Cycle(globals.SAM_CYMBALS_BIG_CLOSE),
        #                         pitch_factor=infit.Uniform(0.5, 2),
        #                     ),
        #                     percussion.Sample(
        #                         path=infit.Cycle(
        #                             globals.SAM_CYMBALS_MIDDLE_CLOSE_QUIET
        #                         ),
        #                         pitch_factor=infit.Uniform(0.5, 2),
        #                     ),
        #                 )
        #             ),
        #             likelihood_range=(0.4, 1),
        #             volume_range=(0.1, 0.8),
        #             ignore_beats_occupied_by_voice=False,
        #         ),
        #     ),
        #     radio_silent_channels=(1, 3, 5),
        #     radio_samples=(
        #         "pbIII/samples/radio/carolina/3.wav",
        #         "pbIII/samples/radio/carolina/1.wav",
        #     ),
        #     radio_n_changes=1,
        #     radio_average_volume=0.285,
        #     radio_shadow_time=0.2,
        #     radio_min_volume=0.925,
        # ),
    )
Exemplo n.º 3
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 4
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 5
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),
        ),
    )