def _handle_attributes(e, position, part):
"""
"""
ts_num = get_value_from_tag(e, 'time/beats', int)
ts_den = get_value_from_tag(e, 'time/beat-type', int)
if ts_num and ts_den:
part.add(score.TimeSignature(ts_num, ts_den), position)
fifths = get_value_from_tag(e, 'key/fifths', int)
mode = get_value_from_tag(e, 'key/mode', str)
if fifths is not None or mode is not None:
part.add(score.KeySignature(fifths, mode), position)
diat = get_value_from_tag(e, 'transpose/diatonic', int)
chrom = get_value_from_tag(e, 'transpose/chromatic', int)
if diat is not None or chrom is not None:
part.add(score.Transposition(diat, chrom), position)
divs = get_value_from_tag(e, 'divisions', int)
if divs:
# part.add(score.Divisions(divs), position)
part.set_quarter_duration(position, divs)
clefs = get_clefs(e)
for clef in clefs:
part.add(score.Clef(**clef), position)
def create_part(ticks, notes, spellings, voices, note_ids, time_sigs, key_sigs, part_id=None, part_name=None):
LOGGER.debug('create_part')
part = score.Part(part_id, part_name=part_name)
part.set_quarter_duration(0, ticks)
clef = score.Clef(number=1, **estimate_clef_properties([pitch for _, pitch, _ in notes]))
part.add(clef, 0)
for t, name in key_sigs:
fifths, mode = key_name_to_fifths_mode(name)
part.add(score.KeySignature(fifths, mode), t)
LOGGER.debug('add notes')
for (onset, pitch, duration), (step, alter, octave), voice, note_id in zip(notes, spellings, voices, note_ids):
if duration > 0:
note = score.Note(step, octave, alter, voice=int(voice or 0), id=note_id,
symbolic_duration=estimate_symbolic_duration(duration, ticks))
else:
note = score.GraceNote('appoggiatura', step, octave, alter, voice=int(voice or 0), id=note_id,
symbolic_duration=dict(type='quarter'))
part.add(note, onset, onset+duration)
if not time_sigs:
warnings.warn('No time signatures found, assuming 4/4')
time_sigs = [(0, 4, 4)]
time_sigs = np.array(time_sigs, dtype=np.int)
# for convenience we add the end times for each time signature
ts_end_times = np.r_[time_sigs[1:, 0], np.iinfo(np.int).max]
time_sigs = np.column_stack((time_sigs, ts_end_times))
LOGGER.debug('add time sigs and measures')
for ts_start, num, den, ts_end in time_sigs:
time_sig = score.TimeSignature(num.item(), den.item())
part.add(time_sig, ts_start.item())
score.add_measures(part)
# this is the old way to add measures. Since part comes from MIDI we
# only have a single global divs value, which makes add it easier to compute
# measure durations:
# measure_counter = 1
# # we call item() on numpy numbers to get the value in the equivalent python type
# for ts_start, num, den, ts_end in time_sigs:
# time_sig = score.TimeSignature(num.item(), den.item())
# part.add(time_sig, ts_start.item())
# measure_duration = (num.item() * ticks * 4) // den.item()
# measure_start_limit = min(ts_end.item(), part.last_point.t)
# for m_start in range(ts_start, measure_start_limit, measure_duration):
# measure = score.Measure(number=measure_counter)
# m_end = min(m_start+measure_duration, ts_end)
# part.add(measure, m_start, m_end)
# measure_counter += 1
# if np.isinf(ts_end):
# ts_end = m_end
LOGGER.debug('tie notes')
# tie notes where necessary (across measure boundaries, and within measures
# notes with compound duration)
score.tie_notes(part)
LOGGER.debug('find tuplets')
# apply simplistic tuplet finding heuristic
score.find_tuplets(part)
LOGGER.debug('done create_part')
return part
def part_from_matchfile(mf):
part = score.Part('P1', mf.info('piece'))
# snotes = sorted(mf.snotes, key=attrgetter('OnsetInBeats'))
snotes = sort_snotes(mf.snotes)
divs = np.lcm.reduce(np.unique([note.Offset.denominator * (note.Offset.tuple_div or 1)
for note in snotes]))
part.set_quarter_duration(0, divs)
min_time = snotes[0].OnsetInBeats # sorted by OnsetInBeats
max_time = max(n.OffsetInBeats for n in snotes)
ts = mf.time_signatures
beats_map, beat_type_map, min_time_q, max_time_q = make_timesig_maps(ts, max_time)
bars = np.unique([n.Bar for n in snotes])
t = min_time
t = t * 4 / beat_type_map(min_time_q)
offset = t
# bar map: bar_number-> start in quarters
bar_times = {}
for b0, b1 in iter_current_next(bars, start=0):
bar_times.setdefault(b1, t)
if t < 0:
t = 0
else:
# multiply by diff between consecutive bar numbers
n_bars = b1 - b0
if t <= max_time_q:
t += (n_bars * 4 * beats_map(t)) / beat_type_map(t)
for note in snotes:
# start of bar in quarter units
bar_start = bar_times[note.Bar]
# offset within bar in quarter units
bar_offset = (note.Beat - 1) * 4 / beat_type_map(bar_start)
# offset within beat in quarter units
beat_offset = (4 * note.Offset.numerator
/ (note.Offset.denominator * (note.Offset.tuple_div or 1)))
# # anacrusis
if bar_start < 0:
# in case of anacrusis we set the bar_start to -bar_duration (in
# quarters) so that the below calculation is correct
bar_start = - beats_map(bar_start) * 4 / beat_type_map(bar_start)
# note onset in divs
onset_divs = int(divs * (bar_start + bar_offset + beat_offset - offset))
# print(note.Anchor, onset_divs, bar_start, bar_offset, beat_offset, offset)
articulations = set()
if 'staccato' in note.ScoreAttributesList:
articulations.add('staccato')
if 'accent' in note.ScoreAttributesList:
articulations.add('accent')
# dictionary with keyword args with which the Note (or GraceNote) will be instantiated
note_attributes = dict(step=note.NoteName,
octave=note.Octave,
alter=note.Modifier,
id=note.Anchor,
articulations=articulations)
staff_nr = next((a[-1] for a in note.ScoreAttributesList if a.startswith('staff')), None)
try:
note_attributes['staff'] = int(staff_nr)
except (TypeError, ValueError):
# no staff attribute, or staff attribute does not end with a number
note_attributes['staff'] = None
note_attributes['voice'] = next((int(a) for a in note.ScoreAttributesList
if NUMBER_PAT.match(a)), None)
# get rid of this if as soon as we have a way to iterate over the
# duration components. For now we have to treat the cases simple
# and compound durations separately.
if note.Duration.add_components:
prev_part_note = None
for i, (num, den, tuple_div) in enumerate(note.Duration.add_components):
# when we add multiple notes that are tied, the first note will
# get the original note id, and subsequent notes will get a
# derived note id (by appending, 'a', 'b', 'c',...)
if i > 0:
# tnote_id = 'n{}_{}'.format(note.Anchor, i)
note_attributes['id'] = score.make_tied_note_id(note_attributes['id'])
part_note = score.Note(**note_attributes)
duration_divs = int(divs * 4 * num / (den * (tuple_div or 1)))
assert duration_divs > 0
offset_divs = onset_divs + duration_divs
part.add(part_note, onset_divs, offset_divs)
if prev_part_note:
prev_part_note.tie_next = part_note
part_note.tie_prev = prev_part_note
prev_part_note = part_note
onset_divs = offset_divs
else:
num = note.Duration.numerator
den = note.Duration.denominator
tuple_div = note.Duration.tuple_div
duration_divs = int(divs * 4 * num / (den * (tuple_div or 1)))
offset_divs = onset_divs + duration_divs
# notes with duration 0, are also treated as grace notes, even if
# they do not have a 'grace' score attribute
if ('grace' in note.ScoreAttributesList or
note.Duration.numerator == 0):
part_note = score.GraceNote('appoggiatura', **note_attributes)
else:
part_note = score.Note(**note_attributes)
part.add(part_note, onset_divs, offset_divs)
# add time signatures
for (ts_beat_time, ts_bar, (ts_beats, ts_beat_type)) in ts:
bar_start_divs = int(divs * (bar_times[ts_bar] - offset)) # in quarters
part.add(score.TimeSignature(ts_beats, ts_beat_type), bar_start_divs)
# add key signatures
for (ks_beat_time, ks_bar, keys) in mf.key_signatures:
if len(keys) > 1:
# there are multple equivalent keys, so we check which one is most
# likely according to the key estimator
est_keys = estimate_key(notes_to_notearray(part.notes_tied), return_sorted_keys=True)
idx = [est_keys.index(key) if key in est_keys else np.inf
for key in keys]
key_name = keys[np.argmin(idx)]
else:
key_name = keys[0]
fifths, mode = key_name_to_fifths_mode(key_name)
part.add(score.KeySignature(fifths, mode), 0)
add_staffs(part)
# add_clefs(part)
# add incomplete measure if necessary
if offset < 0:
part.add(score.Measure(number=1), 0, int(-offset * divs))
# add the rest of the measures automatically
score.add_measures(part)
# print(part.pretty())
score.tie_notes(part)
score.find_tuplets(part)
if not all([n.voice for n in part.notes_tied]):
# print('notes without voice detected')
add_voices(part)
return part