def _render_soundfile_for_keyboard(instrument_id, filtered_time_brackets):
time_brackets_converter = (converters.symmetrical.time_brackets.
TimeBracketsToEventConverter(instrument_id))
converted_time_brackets = time_brackets_converter.convert(
filtered_time_brackets)
if converted_time_brackets:
n_sequential_events = max(
len(simultaneous_event)
for simultaneous_event in converted_time_brackets
if isinstance(simultaneous_event, basic.SimultaneousEvent))
simultaneous_event = basic.SimultaneousEvent([
basic.SequentialEvent([]) for _ in range(n_sequential_events)
])
for event in converted_time_brackets:
if isinstance(event, basic.SimpleEvent):
rest = basic.SimpleEvent(event.duration)
for seq in simultaneous_event:
seq.append(rest)
else:
for ev, sequential_event in zip(event, simultaneous_event):
ev = PLAYING_INDICATORS_CONVERTER.convert(ev)
sequential_event.extend(ev)
for nth_seq_event, sequential_event in enumerate(
simultaneous_event):
midi_file_converter = (
ot2_converters.frontends.midi.
KeyboardEventToMidiFileConverter(nth_seq_event))
midi_file_converter.convert(sequential_event)
def _generate_rhythmical_data(
fundamental: pitches.JustIntonationPitch,
n_periods_of_fundamental_per_beat: int,
n_repetitions_of_rhythm: int,
partial: int,
) -> typing.Tuple[typing.Any]:
"""Generate rhythmical data for the respective partial.
The rhythmical data contain the following information:
1. How often the rhythm get repeated (int)
2. How many periods one beat last (int)
3. The respective rhythm with duration values in seconds
(basic.SequentialEvent[basic.SimpleEvent])
4. Indispensability of each beat (typing.Tuple[int])
"""
duration_of_one_period = 1 / (fundamental.frequency * partial)
duration_of_one_beat = (duration_of_one_period *
n_periods_of_fundamental_per_beat)
rhythm = basic.SequentialEvent(
[basic.SimpleEvent(duration_of_one_beat) for _ in range(partial)])
if partial == 1:
indispensability_for_bar = (0, )
else:
indispensability_for_bar = indispensability.indispensability_for_bar(
(partial, ))
return (
n_repetitions_of_rhythm,
n_periods_of_fundamental_per_beat,
rhythm,
indispensability_for_bar,
)
def _render_vibrations_to_filtered_isis_files(
nested_vibrations: basic.SimultaneousEvent,
):
threads = []
for nth_cycle, cycle in enumerate(nested_vibrations):
sample_player_event = basic.SimpleEvent(sixtycombinations.constants.DURATION)
sample_player_event.path = "{}/{}.wav".format(
sixtycombinations.constants.ISIS_FILES_BUILD_PATH, nth_cycle
)
for nth_speaker, speaker_data in enumerate(cycle):
adapted_speaker_data = basic.SimultaneousEvent(
[basic.SequentialEvent([sample_player_event])] + speaker_data[:]
)
sound_file_converter = sixtycombinations.converters.frontends.VibrationsToFilteredIsisSoundFileConverter(
nth_cycle, nth_speaker
)
thread = threading.Thread(
target=lambda: sound_file_converter.convert(adapted_speaker_data)
)
thread.start()
threads.append(thread)
while any([th.isAlive() for th in threads]):
time.sleep(0.5)
def _get_variable_data(
melody_part: typing.Tuple[typing.Tuple[
typing.Tuple[pitches.JustIntonationPitch, ...], fractions.Fraction,
typing.Optional[basic.SequentialEvent[music.NoteLike]], ], ..., ],
) -> typing.Tuple[typing.Tuple[typing.Tuple[int, fractions.Fraction], ...],
basic.SequentialEvent]:
event_blueprint = basic.SequentialEvent([])
bars_to_fill = []
for nth_bar, bar in enumerate(melody_part):
_, duration, brahms_melody = bar
if brahms_melody:
brahms_melody_pitches = functools.reduce(
operator.add,
brahms_melody.get_parameter("pitch_or_pitches"))
if brahms_melody and (
min(brahms_melody_pitches) >= instruments.
AMBITUS_SUSTAINING_INSTRUMENTS_JUST_INTONATION_PITCHES.
borders[0] and max(brahms_melody_pitches) <= instruments.
AMBITUS_SUSTAINING_INSTRUMENTS_JUST_INTONATION_PITCHES.
borders[1]):
event_blueprint.append(brahms_melody)
else:
bars_to_fill.append((nth_bar, duration))
event_blueprint.append(basic.SimpleEvent(duration))
return tuple(bars_to_fill), event_blueprint
def make_rhythms(
a: typing.Tuple[fractions.Fraction, fractions.Fraction],
b: typing.Tuple[fractions.Fraction, fractions.Fraction],
c: typing.Tuple[fractions.Fraction, fractions.Fraction],
d: typing.Tuple[fractions.Fraction, fractions.Fraction],
is_inversed: bool = False,
) -> typing.Dict[int, basic.SequentialEvent[basic.SimpleEvent]]:
if is_inversed:
a = tuple(reversed(a))
b = tuple(reversed(b))
c = tuple(reversed(c))
d = tuple(reversed(d))
rhythms = {
2: basic.SequentialEvent(
[basic.SimpleEvent(fractions.Fraction(1, 4)) for _ in range(4)]
),
4: basic.SequentialEvent(
[
basic.SimpleEvent(duration)
for duration in (
(fractions.Fraction(1, 4),)
+ a
+ (fractions.Fraction(1, 4), fractions.Fraction(1, 4))
+ tuple(reversed(a))
+ (fractions.Fraction(1, 4),)
)
]
),
8: basic.SequentialEvent(
[
basic.SimpleEvent(duration)
for duration in (
(fractions.Fraction(1, 4),)
+ b
+ c
+ d
+ (fractions.Fraction(1, 4), fractions.Fraction(1, 4))
+ tuple(reversed(d))
+ tuple(reversed(c))
+ tuple(reversed(b))
+ (fractions.Fraction(1, 4),)
)
]
),
}
return rhythms
def convert_nested_loop_to_sequential_event(nested_loop):
result = basic.SequentialEvent([])
for element in nested_loop:
if isinstance(element, tuple):
result.append(convert_nested_loop_to_sequential_event(element))
else:
result.append(basic.SimpleEvent(element))
return result
def find_solutions(
beats_per_part: int,
units_per_part: int,
compounds_per_part: int,
division_size: int,
) -> tuple:
possible_cpps = tuple(
toussaint.euclidean(compounds_per_part, n)
for n in range(1, compounds_per_part + 1)
if units_per_part % n == 0)
solutions = []
for ccp in possible_cpps:
length_ccp = len(ccp)
tests_if_addable = (
units_per_part % length_ccp == 0,
beats_per_part % length_ccp == 0,
)
units_per_metre = units_per_part // length_ccp
beats_per_metre = beats_per_part // length_ccp
if all(tests_if_addable):
is_still_addable = True
mets = []
for item in ccp:
unit_divisions = toussaint.euclidean(units_per_metre, item)
item_tests = (beats_per_metre % item == 0,
all(unit_divisions))
if all(item_tests):
available_unit_sizes_per_compound = beats_per_metre // item
comps = []
for amount_units in unit_divisions:
u_sizes = toussaint.euclidean(
available_unit_sizes_per_compound,
amount_units)
if all(u_sizes):
comps.append(
basic.SequentialEvent([
basic.SequentialEvent([
basic.SimpleEvent(division_size)
for _ in range(s)
]) for s in u_sizes
]))
else:
is_still_addable = False
mets.append(basic.SequentialEvent(comps))
else:
is_still_addable = False
if is_still_addable:
solutions.append(basic.SequentialEvent(mets))
return tuple(solutions)
def _initialise_rests(self, duration: numbers.Number) -> None:
test_point_maker = infit.Uniform(7, 12)
test_points = []
while sum(test_points) < duration:
test_points.append(next(test_point_maker))
test_points[-1] -= sum(test_points) - duration
rests = basic.SequentialEvent([])
for absolute_time, test_point_duration in zip(
tools.accumulate_from_zero(test_points), test_points):
absolute_position_on_timeline = absolute_time / duration
activate_rest = self.get_value_of_at(
"activate_rest", absolute_position_on_timeline)
if activate_rest:
rest_duration = self.get_value_of_at(
"rest_duration", absolute_position_on_timeline)
if rest_duration > test_point_duration:
rest_duration = test_point_duration
rest = basic.SimpleEvent(rest_duration)
rest.is_rest = True
rests.append(rest)
else:
rest_duration = 0
remaining_playing = test_point_duration - rest_duration
if remaining_playing:
playing = basic.SimpleEvent(remaining_playing)
playing.is_rest = False
rests.append(playing)
# rests_duration = 0
# while rests_duration < duration:
# absolute_time = rests.duration / duration
# rest_duration = self.get_value_of_at("rest_duration", absolute_time)
# event = basic.SimpleEvent(rest_duration)
# event.is_rest = self.get_value_of_at("activate_rest", absolute_time)
# rests_duration += rest_duration
# rests.append(event)
# difference = rests_duration - duration
# rests[-1].duration -= difference
self._rests = rests
def _make_remix_events(
split_annotated_note_likes: typing.Tuple[typing.Tuple[
basic.SequentialEvent[typing.Union[basic.SimpleEvent,
classes.AnnotatedNoteLike]],
float, # start
str, # path
]],
) -> basic.SimultaneousEvent[basic.SequentialEvent[basic.SimpleEvent]]:
remix_events = basic.SimultaneousEvent([])
for annotated_note_likes, start, path in split_annotated_note_likes:
sequential_event = basic.SequentialEvent([])
if start > 0:
rest_before_remix_event = basic.SimpleEvent(start)
sequential_event.append(rest_before_remix_event)
remix_event = basic.SimpleEvent(annotated_note_likes.duration)
remix_event.path = "{}.wav".format(path)
sequential_event.append(remix_event)
remix_events.append(sequential_event)
return remix_events
def _render_soundfile_or_midi_file_for_instrument(
instrument_id,
filtered_time_brackets,
midi_file_converter,
return_pitch: bool = False,
):
time_brackets_converter = (converters.symmetrical.time_brackets.
TimeBracketsToEventConverter(instrument_id))
converted_time_brackets = time_brackets_converter.convert(
filtered_time_brackets)
if converted_time_brackets:
n_sequential_events = max(
len(simultaneous_event)
for simultaneous_event in converted_time_brackets
if isinstance(simultaneous_event, basic.SimultaneousEvent))
simultaneous_event = basic.SimultaneousEvent(
[basic.SequentialEvent([]) for _ in range(n_sequential_events)])
for event in converted_time_brackets:
if isinstance(event, basic.SimpleEvent):
rest = basic.SimpleEvent(event.duration)
for seq in simultaneous_event:
seq.append(rest)
else:
for ev, sequential_event in zip(event, simultaneous_event):
ev = PLAYING_INDICATORS_CONVERTER.convert(ev)
sequential_event.extend(ev)
event_duration = event.duration
missing_sequential_events = n_sequential_events - len(event)
if missing_sequential_events:
for sequential_event in simultaneous_event[
-missing_sequential_events:]:
sequential_event.append(
basic.SimpleEvent(event_duration))
if return_pitch:
simultaneous_event.set_parameter("return_pitch", True)
midi_file_converter.convert(simultaneous_event)
(1, 0, 0, ("n", "t",), "e"),
# nihil
(1, 0, 1, ("n",), "i"),
(1, 0, 1, ("H",), "i"),
(1, None, 0, ("l",), "_"),
),
)
SINGING_PHRASES = []
for raw_phrase in RAW_PHRASES:
converted_phrase = basic.SequentialEvent([])
for duration, pitch, volume, consonants, vowel in raw_phrase:
event = basic.SimpleEvent(duration)
event.pitch = pitch
event.volume = volumes.DirectVolume(volume)
event.consonants = consonants
event.vowel = vowel
converted_phrase.append(event)
for event_index, event in enumerate(converted_phrase):
previous_pitch = None
if event.pitch:
for previous_event in reversed(converted_phrase[:event_index]):
if previous_event.pitch:
previous_pitch = previous_event.pitch
break
if previous_pitch:
event.pitch_distance = event.pitch - previous_pitch
def _family_data_to_families(
last_pitch_of_last_melodic_phrase: pitches.JustIntonationPitch,
first_pitch_of_next_melodic_phrase: pitches.JustIntonationPitch,
duration_in_seconds: float,
duration_of_following_cengkok_part_in_seconds: float,
n_root_notes_per_family: typing.Tuple[int, ...],
density: float,
rest_distribution: typing.Tuple[float, ...],
) -> basic.SequentialEvent[typing.Union[families.FamilyOfPitchCurves,
basic.SimpleEvent]]:
# (1) get root notes
n_root_notes_summed = sum(n_root_notes_per_family)
(
choosen_cps_scale,
frame_pitches,
) = _find_closest_approximation_of_interval_in_cps_scale_candidates(
first_pitch_of_next_melodic_phrase - last_pitch_of_last_melodic_phrase,
*common_product_set_scales.COMMON_PRODUCT_SET_SCALES,
)
root_notes = _extend_cps_scale_melody(frame_pitches, choosen_cps_scale,
n_root_notes_summed)
difference_between_root_note_and_last_cantus_firmus_pitch = (
last_pitch_of_last_melodic_phrase - root_notes[0])
pitch_pair_to_connection_pitch = _find_connection_pitch_between_two_pitches(
choosen_cps_scale)
# (2) get duration for each family / for each rest
concatenated_duration_for_all_families = duration_in_seconds * density
concatenated_duration_for_all_rests = (
duration_in_seconds - concatenated_duration_for_all_families)
duration_per_family_in_seconds = tuple(
(n_root_notes / n_root_notes_summed) *
concatenated_duration_for_all_families
for n_root_notes in n_root_notes_per_family)
assert round(sum(duration_per_family_in_seconds),
4) == round(concatenated_duration_for_all_families, 4)
n_families = len(n_root_notes_per_family)
n_rests = n_families + 1
if rest_distribution:
assert len(rest_distribution) == n_rests
summed_weights = sum(rest_distribution)
duration_per_rest_in_seconds = [
concatenated_duration_for_all_rests * (weight / summed_weights)
for weight in rest_distribution
]
else:
duration_per_rest_in_seconds = [
concatenated_duration_for_all_rests / n_rests
for _ in range(n_rests)
]
# (3) build families / rests
family_structure = basic.SequentialEvent([])
root_note_indices = tuple(
tools.accumulate_from_zero(n_root_notes_per_family))
for (
root_notes_index_start,
root_notes_index_end,
duration_for_current_family_in_seconds,
duration_for_current_rest,
) in zip(
root_note_indices,
root_note_indices[1:],
duration_per_family_in_seconds,
duration_per_rest_in_seconds,
):
# between each family there is a rest
family_structure.append(basic.SimpleEvent(duration_for_current_rest))
root_notes_for_current_family = root_notes[
root_notes_index_start:root_notes_index_end]
connection_notes_for_current_family = _get_connection_pitches_for_root_pitches(
root_notes_for_current_family, pitch_pair_to_connection_pitch)
new_family = families.RootAndConnectionBasedFamilyOfPitchCurves(
duration_for_current_family_in_seconds,
tuple((pitch +
difference_between_root_note_and_last_cantus_firmus_pitch
).normalize(mutate=False)
for pitch in root_notes_for_current_family),
tuple((pitch +
difference_between_root_note_and_last_cantus_firmus_pitch
).normalize(mutate=False)
for pitch in connection_notes_for_current_family),
generations=GENERATIONS,
population_size=POPULATION_SIZE,
)
family_structure.append(new_family)
family_structure.append(
basic.SimpleEvent(duration_per_rest_in_seconds[-1] +
duration_of_following_cengkok_part_in_seconds))
assert round(family_structure.duration, 3) == (round(
duration_in_seconds + duration_of_following_cengkok_part_in_seconds,
3))
return family_structure
*envelope_points)
for relative_start_time in rhythm.absolute_times:
beat_and_weight_pairs.append((
(relative_start_time +
absolute_start_time_of_current_state) %
DURATION,
round(
weight_envelope.value_at(
relative_start_time)),
))
activity_level = edwards.ActivityLevel()
absolute_beats = sorted(
set(absolute_time
for absolute_time, weight in sorted(beat_and_weight_pairs,
key=operator.itemgetter(0))
if activity_level(weight)))
filtered_absolute_beats = [absolute_beats[0]]
for absolute_beat in absolute_beats:
if (absolute_beat - filtered_absolute_beats[-1]) >= MIN_DISTANCE:
filtered_absolute_beats.append(absolute_beat)
rhythmical_grid = basic.SequentialEvent([
basic.SimpleEvent(b - a)
for a, b in zip(filtered_absolute_beats, filtered_absolute_beats[1:])
])
ISIS_RHYTHMICAL_GRID_PER_CYCLE.append(rhythmical_grid)
]
)
for cycle in RING_POSITION_TO_LOUDSPEAKER
]
)
for nth_cycle, cycle in enumerate(GROUPS):
is_first = True
for nth_group, group in enumerate(cycle):
if is_first:
n_phases_rest = group.attack + group.sustain
is_first = False
else:
n_phases_rest = group.sustain
rest = basic.SimpleEvent(n_phases_rest * (1 / group.fundamental.frequency))
common_pitch_data_with_previous_harmony = (
group.common_pitch_data_with_previous_harmony
)
common_pitch_data_with_next_harmony = group.common_pitch_data_with_next_harmony
pitch_to_loudspeaker_mapping = PITCH_TO_LOUDSPEAKER_MAPPING[nth_cycle][
nth_group % len(PITCH_TO_LOUDSPEAKER_MAPPING[nth_cycle])
]
a_or_b = nth_group % 2
for nth_pitch, pitch in enumerate(group.harmony):
nth_loudspeaker = pitch_to_loudspeaker_mapping.index(nth_pitch)
nth_partial = int((pitch - group.fundamental).ratio)
is_connection_pitch_to_previous_harmony = (
pitch == common_pitch_data_with_previous_harmony[0][1]
def _structure_time(
splitted_parts: typing.Tuple[phrases.Phrases, ...],
phrase_parts: typing.Tuple[
typing.Tuple[
typing.Tuple[typing.Tuple[int, typing.Tuple[int, ...]], ...], float
],
...,
],
duration_in_seconds: float,
) -> StructureType:
"""Make composition structure.
Returns SequentialEvent which consist of SequentialEvents.
Each contained SequentialEvent represent one part.
Each part contains two sub events again.
1. The first sub-event is only a SimpleEvent. Its duration indicates the
duration (in seconds) of the timebracket based / stochastic / free flow area
of this part.
2. The second sub-event is a SequentialEvent which contains PhraseEvents.
It represents the cengkok based area of this part.
"""
n_parts = len(phrase_parts)
duration_per_part_in_seconds = duration_in_seconds / n_parts
structure = basic.SequentialEvent([])
for nth_phrase_part, phrase_part in enumerate(phrase_parts):
phrase_indices, tempo = phrase_part
cengkok_based_area = ot2_basic.SequentialEventWithTempo([], tempo=tempo)
for (
reptition_of_cantus_firmus_index,
phrases_of_cantus_firmus_repetition_indices,
) in phrase_indices:
nth_reptition_of_cantus_firmus = splitted_parts[
reptition_of_cantus_firmus_index
]
for (
phrase_of_cantus_firmus_repetition_index
) in phrases_of_cantus_firmus_repetition_indices:
cengkok_based_area.extend(
nth_reptition_of_cantus_firmus[
phrase_of_cantus_firmus_repetition_index
]
)
# make last tone longer if its not the complete of the phrase
if phrase_of_cantus_firmus_repetition_index != 3:
cengkok_based_area[-1].duration *= 2
# change grid from 1/2 to 1/4
cengkok_based_area = cengkok_based_area.set_parameter(
"duration",
lambda old_duration: old_duration * fractions.Fraction(1, 2),
mutate=False,
)
duration_of_cengkok_based_area_in_seconds = (
cengkok_based_area.duration * 4 * tempos.TempoPointConverter().convert(tempo)
)
cengkok_based_area.duration_in_seconds = duration_of_cengkok_based_area_in_seconds
remaining_duration = (
duration_per_part_in_seconds - duration_of_cengkok_based_area_in_seconds
)
if remaining_duration < 0:
remaining_duration = ADDED_DURATION_FOR_STOCHASTIC_PART_IF_CENGKOK_PART_IS_TOO_LONG
warnings.warn(
f"The phrase part number '{nth_phrase_part}' has a too long cengkok"
" based area, so that there isn't any time left for the stochastic"
" area!"
)
structure.append(
basic.SequentialEvent(
[basic.SimpleEvent(remaining_duration), cengkok_based_area]
)
)
return structure
def convert(
self,
groups_per_cycle: typing.Tuple[typing.Tuple[type(
constants.GROUPS[0][0])]],
):
reaper_marker_events = basic.SimultaneousEvent([])
for nth_cycle, groups in enumerate(groups_per_cycle):
absolute_start_time_for_cycle = constants.ABSOLUTE_START_TIME_PER_GROUP[
nth_cycle]
for nth_group, group in enumerate(groups):
reaper_marker_events_for_group = basic.SequentialEvent([])
absolute_start_time_for_group = (
absolute_start_time_for_cycle + group.relative_start_time)
absolute_start_time_for_group %= constants.DURATION
reaper_marker_events_for_group.append(
basic.SimpleEvent(absolute_start_time_for_group))
for state_name in "attack sustain release".split(" "):
n_phases = getattr(group, state_name)
duration_of_state = (
1 / group.fundamental.frequency) * n_phases
state_marker = basic.SimpleEvent(duration_of_state)
state_marker.name = "Group({},{})-{}".format(
nth_cycle, nth_group, state_name.upper())
state_marker.color = self.cycle_index_to_color[nth_cycle]
reaper_marker_events_for_group.append(state_marker)
absolute_start_time_and_reaper_marker_events_pairs = []
for absolute_time, state_marker in zip(
reaper_marker_events_for_group.absolute_times[1:],
reaper_marker_events_for_group[1:],
):
absolute_time %= constants.DURATION
absolute_start_time_and_reaper_marker_events_pairs.append(
(absolute_time, state_marker))
sorted_absolute_start_time_and_reaper_marker_events_pairs = sorted(
absolute_start_time_and_reaper_marker_events_pairs,
key=operator.itemgetter(0),
)
if sorted_absolute_start_time_and_reaper_marker_events_pairs[
0][0] != 0:
sorted_absolute_start_time_and_reaper_marker_events_pairs.insert(
0, (0, basic.SimpleEvent(1)))
sorted_absolute_start_times = tuple(
map(
lambda pair: pair[0],
sorted_absolute_start_time_and_reaper_marker_events_pairs,
))
adjusted_reaper_marker_events_for_group = basic.SequentialEvent(
[])
for absolute_start_time0, absolute_start_time1, event in zip(
sorted_absolute_start_times,
sorted_absolute_start_times[1:] + (1, ),
map(
lambda pair: pair[1],
sorted_absolute_start_time_and_reaper_marker_events_pairs,
),
):
event.duration = absolute_start_time1 - absolute_start_time0
adjusted_reaper_marker_events_for_group.append(event)
reaper_marker_events.append(
adjusted_reaper_marker_events_for_group)
with open(self._path, "w") as f:
f.write(
self._reaper_marker_converter.convert(reaper_marker_events))
