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product-vamp/generator/guitar.py
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2026-10-06 03:18:02 -05:00

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19 KiB
Python

from __future__ import annotations
import dataclasses
import fractions
import functools
import itertools
import logging
import typing
import generator.fretboard
import generator.model
import generator.pitch
import generator.chord_families
import generator.vocabulary
PREFERRED_MAX_FRET = 12
ELECTRIC_STRINGS = ((3, 2, 1), (4, 3, 2, 1))
class VoicingCost(typing.NamedTuple):
extended_grips: int = 0
melody_string: int = 0
covered_melody: int = 0
covering_tones: int = 0
string_shortfall: int = 0
family_penalty: int = 0
effort: int = 0
missing_tones: int = 0
def plus(self, other: VoicingCost) -> VoicingCost:
return VoicingCost(*(a + b for a, b in zip(self, other)))
@functools.lru_cache(maxsize=16384)
def moved(self, distance: int) -> VoicingCost:
return self._replace(effort=self.effort + distance)
def voicing_cost(positions: tuple[generator.fretboard.TabPosition, ...], profile: str = '', allowed: tuple[int, ...] = (), melody: tuple[int, ...] = ()) -> VoicingCost:
families = tuple(generator.vocabulary.accompaniment('electric')['voicing_families']['rank'].items()) if profile == 'electric' else ()
return _voicing_cost(positions, profile, allowed, melody, families)
@functools.lru_cache(maxsize=8192)
def _voicing_cost(positions, profile, allowed, melody, families):
frets = {p.fret for p in positions}
classes = {p.midi % 12 for p in positions}
above = sum(p.midi > max(melody) for p in positions) if melody else 0
span = compactness(positions)
if profile == 'electric':
effort = 2 * max(0, len(frets) - 1) + 3 * span
else:
effort = 2 * max(0, max(frets, default=0) - PREFERRED_MAX_FRET) + span
family_penalty = dict(families).get(generator.chord_families.electric(positions), 0) if positions and families else 0
melody_string = min((p.string_number - 1 for p in positions if melody and p.midi == max(melody)), default=0)
return VoicingCost(extended_grips=generator.fretboard.span_penalty(positions), melody_string=melody_string, string_shortfall=max(0, 4 - len(positions)) if profile == 'electric' else 0, covered_melody=int(bool(above)), covering_tones=above, family_penalty=family_penalty, effort=effort, missing_tones=len(set(allowed) - classes))
def chord_positions(requirements: generator.fretboard.ChordRequirements, prune: bool = True, profile: str = '', melody: tuple[int, ...] = ()) -> tuple[tuple[generator.fretboard.TabPosition, ...], ...]:
families = tuple(generator.vocabulary.accompaniment('electric')['voicing_families']['rank'].items()) if profile == 'electric' else ()
return _chord_positions(requirements, prune, profile, melody, families)
@functools.lru_cache(maxsize=256)
def _chord_positions(requirements, prune, profile, melody, families):
result = []
options = [tuple(generator.fretboard.TabPosition(string, fret, open_midi + fret) for fret in range(generator.fretboard.MIN_FRET, generator.fretboard.MAX_FRET + 1) if (open_midi + fret) % 12 in requirements.allowed or open_midi + fret in melody) for string, open_midi in generator.fretboard.STANDARD_TUNING]
def visit(index, selected, covered):
if len(set(requirements.required) - covered) > len(options) - index:
return
if index == len(options):
if selected and generator.fretboard.has_fret_anchor(selected) and requirements.covers(covered) and (not requirements.basses or min(selected, key=lambda p: p.midi).midi % 12 in requirements.basses):
result.append(tuple(selected))
return
visit(index + 1, selected, covered)
for position in options[index]:
if position.midi % 12 not in covered and generator.fretboard.within_fret_span((*selected, position)):
visit(index + 1, (*selected, position), covered | {position.midi % 12})
if profile:
by_string = {string: options[i] for i, (string, _) in enumerate(generator.fretboard.STANDARD_TUNING)}
# A lower source melody can be the top of a three-note adaptation on
# strings 2-4. It need not be buried beneath an added first-string tone.
for strings in (*ELECTRIC_STRINGS, (4, 3, 2)) if melody else ELECTRIC_STRINGS:
for selected in itertools.product(*(by_string[s] for s in strings)):
if not generator.fretboard.within_fret_span(selected) or not generator.fretboard.has_fret_anchor(selected) or not requirements.covers({p.midi % 12 for p in selected}) or not set(melody) <= {p.midi for p in selected}:
continue
if requirements.basses and (selected[0].midi % 12 not in requirements.basses or selected[0].midi != min(p.midi for p in selected)):
continue
result.append(selected)
else:
visit(0, (), set())
if not prune:
return tuple(sorted(result))
# Independent attacks with equal centers have identical movement costs.
# Held strings require the full candidate set instead of this reduction.
best = {}
for positions in result:
center = position_center(positions)
rank = (voicing_cost(positions, profile, requirements.allowed, melody), positions)
if center not in best or rank < best[center][0]:
best[center] = (rank, positions)
return tuple(sorted(item[1] for item in best.values()))
@functools.lru_cache(maxsize=16384)
def movement(previous: tuple[generator.fretboard.TabPosition, ...], current: tuple[generator.fretboard.TabPosition, ...]) -> int:
if not previous or not current:
return 0
return sum(abs(a - b) for a, b in zip(position_center(previous), position_center(current)))
@functools.lru_cache(maxsize=4096)
def position_center(positions: tuple[generator.fretboard.TabPosition, ...]) -> tuple[int, int]:
frets = [p.fret for p in positions] or [0]
strings = [p.string_number for p in positions]
return min(frets) + max(frets), min(strings) + max(strings) - 2
def compactness(positions) -> int:
frets = [p.fret for p in positions]
return max(frets) - min(frets) if frets else 0
def extend_positions(held, pending):
if not pending:
yield tuple(sorted(held.items()))
return
identifier, options = pending[0]
occupied = {p.string_number for p in held.values()}
for position in options:
if position.string_number not in occupied and generator.fretboard.within_fret_span((*held.values(), position)):
yield from extend_positions({**held, identifier: position}, pending[1:])
@dataclasses.dataclass
class Placement:
cost: VoicingCost
active: tuple
previous: Placement | None
choices: tuple
def nearest_positions(states: dict) -> list[list[tuple | None]]:
"""Exact Manhattan distance transform on the small fret/string position grid."""
initial = min(((p.cost, i, p) for i, p in enumerate(states.values()) if not p.active), key=lambda item: item[:2], default=None)
grid = [[initial for _ in range(11)] for _ in range(2 * generator.fretboard.MAX_FRET + 1)]
for index, previous in enumerate(states.values()):
if not previous.active:
continue
x, y = position_center(tuple(p for _, p in previous.active))
candidate = (previous.cost, index, previous)
if grid[x][y] is None or candidate[:2] < grid[x][y][:2]:
grid[x][y] = candidate
def relax(x, y, a, b):
source = grid[a][b]
if source is not None:
cost, index, previous = source
candidate = (cost.moved(1), index, previous)
if grid[x][y] is None or candidate[:2] < grid[x][y][:2]:
grid[x][y] = candidate
for y in range(11):
for x in range(1, len(grid)):
relax(x, y, x - 1, y)
for x in range(len(grid) - 2, -1, -1):
relax(x, y, x + 1, y)
for x in range(len(grid)):
for y in range(1, 11):
relax(x, y, x, y - 1)
for y in range(9, -1, -1):
relax(x, y, x, y + 1)
return grid
@dataclasses.dataclass(frozen=True)
class GuitarTone:
pitch: dict
end: fractions.Fraction
positions: tuple[generator.fretboard.TabPosition, ...]
@dataclasses.dataclass(frozen=True)
class AttackCandidate:
active: tuple
choices: tuple
shape: tuple[generator.fretboard.TabPosition, ...]
cost: VoicingCost
@dataclasses.dataclass(frozen=True)
class EventPlacement:
note: dict
exact: tuple
added: tuple[generator.fretboard.TabPosition, ...] = ()
def playable_choices(choices) -> bool:
return all(generator.fretboard.playable_attack((*((position, generator.model.fraction(tone['duration'])) for tone, position in choice.exact), *((position, generator.model.fraction(choice.note['duration'])) for position in choice.added))) for choice in choices)
def continued_sources(notes):
result = {p['tie_from'] for n in notes for p in n['pitches'] if 'tie_from' in p}
result.update(f'{n["_continue_from"]}_s{s}' for n in notes if '_continue_from' in n for s, _ in generator.fretboard.STANDARD_TUNING)
return result
def has_attack(notes: list[dict]) -> bool:
return any('_harmony' in n and '_continue_from' not in n or any('tie_from' not in p for p in n['pitches']) for n in notes)
def attack_candidates(notes: list[dict], tones: dict[str, GuitarTone], active: dict, held: dict, preserve_strings: bool, fallback: bool = False):
pending = []
chords = [n for n in notes if '_harmony' in n]
chord = chords[0] if chords else None
profile = chord.get('_guitar_profile', '') if chord else ''
if len(chords) > 1:
raise ValueError('simultaneous generated chords require acoustic harmony-span placement')
for note in notes:
for tone in note['pitches']:
options = tones[tone['id']].positions
if source := tone.get('tie_from'):
options = tuple(p for p in options if p == active.get(source))
pending.append((tone['id'], options))
if fallback and chord and chord.get('_harmonize'):
chords, chord, profile = [], None, ''
requirements = generator.fretboard.chord_requirements(chord['_harmony'], respect_bass=profile != 'electric') if chord else generator.fretboard.ChordRequirements()
melody = tuple(sorted({p.midi for _, options in pending for p in options})) if profile == 'electric' else ()
fresh = has_attack(notes)
candidates = chord_positions(requirements, prune=not (preserve_strings or held or pending or profile), profile=profile, melody=melody) if chord else [()]
for exact in extend_positions(held, sorted(pending, key=lambda p: len(p[1]))):
exact_positions = dict(exact)
for positions in candidates:
if profile:
if any(p not in positions for p in exact_positions.values()):
continue
assignment = dict(exact)
choices = []
compatible = True
for note in notes:
added = tuple(p for p in positions if p not in exact_positions.values() and note in chords)
if any(p.midi % 12 not in requirements.allowed for p in added):
compatible = False
break
if '_continue_from' in note:
previous = {p for i, p in active.items() if i.startswith(note['_continue_from'] + '_s')}
if previous != set(added):
compatible = False
break
assignment.update((f'{note["id"]}_s{p.string_number}', p) for p in added)
choices.append(EventPlacement(note, tuple((p, exact_positions[p['id']]) for p in note['pitches']), added))
if not compatible or not playable_choices(choices):
continue
cost = voicing_cost(positions, profile, requirements.allowed, melody) if fresh else VoicingCost()
yield AttackCandidate(tuple(sorted(assignment.items())), tuple(choices), positions, cost)
else:
shape = tuple(p for _, p in exact) + positions
if len({p.string_number for p in shape}) != len(shape) or not generator.fretboard.within_fret_span(shape):
continue
assignment = tuple(sorted((*exact, *((f'{chord["id"]}_s{p.string_number}', p) for p in positions)))) if chord else exact
choices = tuple(EventPlacement(n, tuple((p, exact_positions[p['id']]) for p in n['pitches']), positions if n is chord else ()) for n in notes)
if not playable_choices(choices):
continue
cost = voicing_cost(shape, profile, requirements.allowed, melody) if fresh else VoicingCost()
yield AttackCandidate(assignment, choices, shape, cost)
def guitar_events(document: dict) -> tuple[list, dict[str, GuitarTone]]:
events, tones = [], {}
absolute = fractions.Fraction()
previous = {}
for measure in document['staves'][0]['measures']:
if measure.get('section_label'):
previous.clear()
changes = sorted(measure.get('attributes', []), key=lambda a: generator.model.fraction(a['onset']))
state = {k: measure[k] for k in ('transpose', 'staff_details')}
for change in [state, *changes]:
state.update({k: change[k] for k in state if k in change})
generator.fretboard.validate_tuning(state, measure['id'])
for voice in measure['voices']:
for order, note in enumerate(voice['notes']):
if note.get('_rhythm_continuation'):
source = previous.get(voice['id'])
if source and '_harmony' in source:
note['_continue_from'] = source['id']
for string, _ in generator.fretboard.STANDARD_TUNING:
tones[f'{source["id"]}_s{string}'].pitch['tie_to'] = f'{note["id"]}_s{string}'
elif not note['pitches']:
note.pop('_harmony', None)
note['kind'] = 'rest'
previous[voice['id']] = note
onset = generator.model.fraction(note['onset'])
state = {k: measure[k] for k in ('transpose', 'staff_details')}
for change in changes:
if generator.model.fraction(change['onset']) <= onset:
state.update({k: change[k] for k in state if k in change})
for tone in note['pitches']:
sounding = generator.pitch.sounding_pitch(tone, state)
options = generator.fretboard.positions_for_pitch(sounding)
if tab := tone.get('tablature'):
options = tuple(p for p in options if (p.string_number, p.fret) == (tab['string'], tab['fret']))
if not options:
raise ValueError(f'{measure["id"]}, event {note["id"]}: sounding pitch {sounding} has no string/fret in {generator.fretboard.MIN_FRET}-{generator.fretboard.MAX_FRET}')
tones[tone['id']] = GuitarTone(tone, absolute + onset + generator.model.fraction(tone['duration']), options)
if '_harmony' in note:
for string, _ in generator.fretboard.STANDARD_TUNING:
tones[f'{note["id"]}_s{string}'] = GuitarTone({}, absolute + onset + generator.model.fraction(note['duration']), ())
if note['pitches'] or '_harmony' in note:
events.append((absolute + onset, not bool(note.get('grace')), order if note.get('grace') else -1, note))
absolute += generator.model.fraction(measure['duration'])
return sorted(events, key=lambda e: e[:3]), tones
def retain_tone(tone: GuitarTone, onset: fractions.Fraction) -> bool:
return tone.end > onset or tone.end == onset and bool(tone.pitch.get('tie_to'))
def advance_attacks(candidates, states: dict) -> dict:
nearest = nearest_positions(states)
result = {}
for candidate in candidates:
x, y = position_center(candidate.shape)
cost, _, previous = nearest[x][y]
cost = cost.plus(candidate.cost)
if candidate.active not in result or cost < result[candidate.active].cost:
result[candidate.active] = Placement(cost, candidate.active, previous, candidate.choices)
return result
def advance_positions(notes: list[dict], onset: fractions.Fraction, tones: dict[str, GuitarTone], states: dict, preserve_strings: bool, fallback: bool = False) -> dict:
continued = continued_sources(notes)
fresh = has_attack(notes)
held_ids = {i for previous in states.values() for i, _ in previous.active if retain_tone(tones[i], onset)}
result = {}
def keep(candidate, previous, cost):
cost = cost.plus(candidate.cost)
if candidate.active not in result or cost < result[candidate.active].cost:
result[candidate.active] = Placement(cost, candidate.active, previous, candidate.choices)
if not held_ids and not continued:
result = advance_attacks(attack_candidates(notes, tones, {}, {}, preserve_strings, fallback), states)
else:
for previous in states.values():
active = dict(previous.active)
held = {i: p for i, p in previous.active if i not in continued and i in held_ids}
for candidate in attack_candidates(notes, tones, active, held, preserve_strings, fallback):
distance = movement(tuple(p for _, p in previous.active), candidate.shape) if fresh else 0
keep(candidate, previous, previous.cost.moved(distance))
if not result:
if not fallback and any(n.get('_harmonize') for n in notes):
return advance_positions(notes, onset, tones, states, preserve_strings, True)
raise ValueError(f'event {notes[0]["id"]}, onset {onset}: no guitar placement; single notes need frets {generator.fretboard.MIN_FRET}-{generator.fretboard.MAX_SINGLE_FRET}; chords need frets {generator.fretboard.MIN_FRET}-{generator.fretboard.MAX_FRET}, an anchor <= {generator.fretboard.MAX_ANCHOR_FRET}, and at most {generator.fretboard.MAX_FRET_SPAN} consecutive fret positions; held/tied strings must remain fixed')
return result
def place_guitar(document: dict) -> None:
"""Choose electric voicings or exact/held melody placements."""
events, tones = guitar_events(document)
states = {(): Placement(VoicingCost(), (), None, ())}
groups = [(key[0], [item[3] for item in values]) for key, values in itertools.groupby(events, key=lambda e: e[:3])]
for index, (onset, notes) in enumerate(groups):
next_onset = groups[index + 1][0] if index + 1 < len(groups) else None
preserve_strings = next_onset is not None and any('_harmony' in n and onset + generator.model.fraction(n['duration']) > next_onset for n in notes)
states = advance_positions(notes, onset, tones, states, preserve_strings)
selected = min(states.values(), key=lambda s: (s.cost, s.active))
skipped = []
while selected.previous is not None:
for choice in selected.choices:
note = choice.note
for tone, position in choice.exact:
tone['tablature'] = {'string': position.string_number, 'fret': position.fret}
if definition := note.pop('_harmony', None):
for pitch in generator.fretboard.chord_pitches(definition, choice.added):
note['pitches'].append({**pitch, 'id': f'{note["id"]}_s{pitch["tablature"]["string"]}', 'duration': note['duration'], 'written': note['written']})
if note.get('_harmonize') and not choice.added and not note.get('_rhythm_continuation'):
skipped.append(note['id'])
selected = selected.previous
for measure in document['staves'][0]['measures']:
for voice in measure['voices']:
for note in voice['notes']:
for field in ('_guitar_profile', '_guitar_lane', '_harmonize', '_continue_from'):
note.pop(field, None)
if skipped:
logging.getLogger(__name__).warning('%s: %s melody harmonizations kept as single notes; first event %s', document['metadata']['title'], len(skipped), skipped[-1])
document['staves'][0]['tablature'] = True
generator.fretboard.validate_document(document)