def _filter_rhythm_metricity_pairs(absolute_rhythm_and_metricities: tuple,
start: float = None,
stop: float = None) -> tuple:
start_idx = 0
if start:
start_idx = tools.find_closest_index(
start,
absolute_rhythm_and_metricities,
key=operator.itemgetter(0))
if absolute_rhythm_and_metricities[start_idx][0] < start:
start_idx += 1
if stop:
stop_idx = tools.find_closest_index(
stop,
absolute_rhythm_and_metricities,
key=operator.itemgetter(0))
if absolute_rhythm_and_metricities[stop_idx][0] < stop:
stop_idx += 1
else:
stop_idx = len(absolute_rhythm_and_metricities)
return absolute_rhythm_and_metricities[start_idx:stop_idx]
def find_next_position(self, next_metrical_prime: int,
expected_difference: fractions.Fraction):
expected_position = self.relative_position + expected_difference
next_metrical_prime_rhythms = self._rhythm_and_metricity_per_prime[
next_metrical_prime][0]
test_area = next_metrical_prime_rhythms + (self._loop_size, )
n_loops_added = 0
closest_index = tools.find_closest_index(expected_position, test_area)
if test_area[closest_index] <= self.relative_position:
while test_area[closest_index] <= self.relative_position:
closest_index += 1
else:
while test_area[closest_index] == self._loop_size:
expected_position -= self._loop_size
closest_index = tools.find_closest_index(
expected_position, test_area)
n_loops_added += 1
deviation = expected_position - test_area[closest_index]
if deviation < 0 and closest_index != 0:
if (n_loops_added == 0 and test_area[closest_index - 1] <=
self.relative_position):
candidates = (closest_index, )
else:
candidates = (closest_index, closest_index - 1)
elif deviation > 0 and test_area[closest_index +
1] != self._loop_size:
candidates = (closest_index, closest_index + 1)
else:
candidates = None
if candidates:
closest_index = max(
((
idx,
self._rhythm_and_metricity_per_prime[
next_metrical_prime][1][idx],
) for idx in candidates),
key=operator.itemgetter(1),
)[0]
return type(self)(
next_metrical_prime,
closest_index,
self._nth_loop + n_loops_added,
self._rhythm_and_metricity_per_prime,
self._loop_size,
)
def quantisize_pitches(pitches: tuple,
scale: tuple,
concert_pitch: float = None) -> ji.JIMel:
scale = sorted(scale)
for p in scale:
assert p.octave == 0
scale_cent = tuple(p.cents for p in scale)
quantisized = []
for pitch in pitches:
if concert_pitch:
pitch.concert_pitch_freq = concert_pitch
if pitch.is_empty:
quantisized_pitch = mel.TheEmptyPitch
else:
octave = pitch.octave
normalized_cents = pitch.cents + (-octave * 1200)
quantisized_pitch = scale[tools.find_closest_index(
normalized_cents, scale_cent)].register(octave)
quantisized.append(quantisized_pitch)
return ji.JIMel(quantisized)
def find_responsible_element(self, absolute_time_position: float):
"""Return element that is playing at the asked moment."""
assert absolute_time_position >= 0
if self.time_measure == "absolute":
absolute_line = self
else:
absolute_line = self.convert2absolute()
abs_start_positions = absolute_line.delay
abs_end_positions = absolute_line.dur
closest_index = tools.find_closest_index(
absolute_time_position, abs_start_positions
)
if abs_start_positions[closest_index] > absolute_time_position:
closest_index -= 1
if abs_end_positions[closest_index] < absolute_time_position:
msg = "Can't find any element at position {}.".format(
absolute_time_position
)
raise IndexError(msg)
return self[closest_index]
def _make_transcription(
self,
starting_scale_degree: int,
starting_intonation: int,
cent_distances: float,
) -> tuple:
pitches = [(starting_scale_degree, starting_intonation, 0)]
fitness = 0
for distance in cent_distances:
last_scale_degree, last_intonation, last_octave = pitches[-1]
adapted_distance = (
distance
+ self._deviation_from_ideal_scale_degree_per_intonation[
last_scale_degree
][last_intonation]
)
closest_item = tools.find_closest_item(
adapted_distance,
self._distance_to_other_scale_degrees_per_scale_degree[
last_scale_degree
],
key=operator.itemgetter(1),
)
new_scale_degree = closest_item[0][0]
new_octave = last_octave + closest_item[0][1]
last_pitch = self._intonations_per_scale_degree[last_scale_degree][
last_intonation
]
last_pitch += ji.r(1, 1).register(last_octave)
octavater = ji.r(1, 1).register(new_octave)
possible_intonations = tuple(
intonation + octavater
for intonation in self._intonations_per_scale_degree[new_scale_degree]
)
last_pitch_cents = last_pitch.cents
distance_per_intonation = tuple(
into.cents - last_pitch_cents for into in possible_intonations
)
new_intonation = tools.find_closest_index(distance, distance_per_intonation)
pitches.append((new_scale_degree, new_intonation, new_octave))
fitness += distance_per_intonation[new_intonation]
return tuple(pitches), fitness
def interpolate_by_n_points(self, n_points: int) -> tuple:
duration = self.duration
points = tuple(range(n_points + 1))
point_position_per_interpolation = tools.accumulate_from_zero(
tuple(float(point.delay / duration) * n_points for point in self[:-1])
)
point_position_per_interpolation = tuple(
tools.find_closest_index(item, points)
for item in point_position_per_interpolation
)
points_per_interpolation = tuple(
b - a
for a, b in zip(
point_position_per_interpolation, point_position_per_interpolation[1:]
)
)
interpolations = tuple(
item0.interpolate(item1, points + 1)[:-1]
for item0, item1, points in zip(self, self[1:-1], points_per_interpolation)
)
interpolations += (
self[-2].interpolate(self[-1], points_per_interpolation[-1]),
)
return tuple(functools.reduce(operator.add, interpolations))
def render(self, name: str) -> None:
self.server.recordOptions(dur=self.duration,
filename="{}.wav".format(name),
sampletype=4)
import random as random_ambient_noise_lv
random_ambient_noise_lv.seed(1)
n_events = tools.find_closest_index(
self.duration, tools.accumulate_from_zero(self.duration_per_event))
duration_per_event = self.duration_per_event[:n_events]
sample_path_per_event = self.sample_path_per_event[:n_events]
lv_per_effect = {
"{}_lv".format(effect): tuple(
next(self.level_per_effect[effect]
) if self.activity_object_per_effect[effect]
(self.activity_lv_per_effect[effect]) else 0
for i in duration_per_event)
for effect in self.__effects
}
ambient_noise_lv_per_event = tuple(
random_ambient_noise_lv.uniform(0.2, 0.4)
for i in duration_per_event)
ambient_noise_lv_per_event = tuple((a, b) for a, b in zip(
(0, ) + ambient_noise_lv_per_event, ambient_noise_lv_per_event))
# general dynamic level for each slice
event_lv = tuple(self.volume * lv
for lv in self.curve(n_events, "points"))
################################################################
# controlling different dsp parameter
filter_freq_per_event = tuple(
next(self.filter_freq_maker) for i in duration_per_event)
filter_q_per_event = tuple(
next(self.filter_q_maker) for i in duration_per_event)
rm_freq_per_event = tuple(
next(self.rm_freq_maker) for i in duration_per_event)
transpo_per_event = tuple(
next(self.transpo_maker) for i in duration_per_event)
chenlee_chaos_per_event = tuple(
next(self.chenlee_chaos_maker) for i in duration_per_event)
chenlee_pitch_per_event = tuple(
next(self.chenlee_pitch_maker) for i in duration_per_event)
lorenz_chaos_per_event = tuple(
next(self.lorenz_chaos_maker) for i in duration_per_event)
lorenz_pitch_per_event = tuple(
next(self.lorenz_pitch_maker) for i in duration_per_event)
################################################################
e = synthesis.pyo.Events(
instr=SlicePlayer,
path=sample_path_per_event,
dur=duration_per_event,
lv=event_lv,
filter_freq=filter_freq_per_event,
filter_q=filter_q_per_event,
rm_freq=rm_freq_per_event,
h_transpo=transpo_per_event,
chenlee_chaos=chenlee_chaos_per_event,
chenlee_pitch=chenlee_pitch_per_event,
lorenz_chaos=lorenz_chaos_per_event,
lorenz_pitch=lorenz_pitch_per_event,
ambient_noise_lv=ambient_noise_lv_per_event,
**lv_per_effect,
)
e.play()
self.server.start()
def _make_messages_for_one_tone(self, tone: old.Tone,
channel_number: int) -> tuple:
freq = tone.pitch.freq
key = tools.find_closest_index(freq, _12edo_freq)
cent_deviation = mel.SimplePitch.hz2ct(_12edo_freq[key], freq)
if cent_deviation != 0:
pitch_percent = (cent_deviation + self.maximum_cent_deviation
) / self.total_range_cent_deviation
if pitch_percent > 1:
pitch_percent = 1
logging.warn(self.pb_warn)
if pitch_percent < 0:
pitch_percent = 0
logging.warn(self.pb_warn)
midi_pitch = int(self.maximum_pitch_bending * pitch_percent)
midi_pitch -= self.maximum_pitch_bending_positive
else:
midi_pitch = self.maximum_pitch_bending_positive
# time=18: adding small delay for avoiding pitch-bending effects
messages = []
messages.append(
mido.Message(
"pitchwheel",
channel=channel_number,
pitch=midi_pitch,
time=self.pitch_msg_delay,
))
velocity = self._get_velocity(tone)
duration = (self._convert_seconds2ticks(tone.duration) -
self.note_on_msg_delay - self.pitch_msg_delay)
messages.append(
mido.Message(
"note_on",
note=key,
velocity=velocity,
time=self.note_on_msg_delay,
channel=channel_number,
))
for n in range(duration - 1):
messages.append(
mido.Message("pitchwheel",
channel=channel_number,
pitch=midi_pitch,
time=1))
messages.append(
mido.Message("note_off",
note=key,
velocity=velocity,
time=1,
channel=channel_number))
return tuple(messages)
