This commit is contained in:
khodowany
2026-10-02 00:35:31 -05:00
parent f2f371b951
commit a0bd19b3ba
25 changed files with 1421 additions and 586 deletions
+57 -5
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@@ -16,6 +16,8 @@ class Analysis:
boundaries: tuple[fractions.Fraction, ...]
tempo: fractions.Fraction
melody: tuple[generator.solo.types.Note, ...]
body_offset: fractions.Fraction = fractions.Fraction()
source_phrases: tuple[generator.solo.types.SourcePhrase, ...] = ()
def identity(analysis, measures, part):
anchor = analysis.melody[0].pitch.number() if analysis.melody else 0
@@ -63,16 +65,14 @@ def analyze(document: dict) -> Analysis:
candidates = []
for index, measure in enumerate(measures):
start = boundaries[index]
# One- and two-bar ideas retain leading silence and the complete held ending.
for count in (1, 2):
# Legacy motif consumers also receive complete longer source material.
for count in (1, 2, 4, 6, 8):
if index + count >= len(boundaries):
continue
end = boundaries[index + count]
notes = tuple(n for n in melody if start <= n.start < end)
if not notes or any(n.end > end for n in notes) or any(a.end > b.start for a, b in zip(notes, notes[1:])):
continue
if len(notes) > 8:
continue
normalized = tuple(dataclasses.replace(n, start=n.start - start, end=n.end - start) for n in notes)
identity = repr(tuple((n.start, n.end, n.pitch) for n in normalized)).encode('ascii')
identifier = 'head_' + hashlib.sha256(identity).hexdigest()[:12]
@@ -82,4 +82,56 @@ def analyze(document: dict) -> Analysis:
# Preserve the opening idea, then favor a contrasting rhythm/contour with space.
ordered = list(unique.values())
ordered.sort(key=lambda m: (next(i for i, n in enumerate(melody) if n.sources[0] == m.notes[0].sources[0]), m.duration))
return Analysis(tuple(ordered), tuple(boundaries), tempo, melody)
offset = boundaries[generator.score.body_start_measure_index(measures)]
phrases = source_phrases(melody, offset, boundaries[-1] - offset,
generator.model.fraction(measures[-1]['duration']))
return Analysis(tuple(ordered), tuple(boundaries), tempo, melody, offset, phrases)
def source_phrases(melody, offset, end, bar):
"""Partition at musical releases, without slicing a sounding event at bars."""
notes = tuple(dataclasses.replace(n, start=n.start-offset, end=n.end-offset,
event_id=n.sources[0]) for n in melody if n.end > offset)
if any(a.end > b.start for a, b in zip(notes, notes[1:])):
raise ValueError('solo source requires a monophonic melody')
candidates = sorted({fractions.Fraction(), end, *(n.end for n in notes if 0 < n.end <= end),
*(n.start for n in notes if 0 < n.start < end)})
candidates = [t for t in candidates if not any(n.start < t < n.end for n in notes)]
if not candidates or candidates[0] != 0:
candidates.insert(0, fractions.Fraction())
best = {end: (0., ())}
for start in reversed(candidates[:-1]):
options = []
for finish in candidates:
duration = finish-start
if finish not in best or duration <= 0 or duration > 8*bar or duration < 2*bar and finish != end:
continue
prior = next((n for n in reversed(notes) if n.end <= finish), None)
after = next((n for n in notes if n.start >= finish), None)
gap = float(max(0, after.start-prior.end)) if prior and after else 0.
held = float(prior.end-prior.start) if prior else 0.
cost = abs(float(duration/bar)-4)/4 + .7*(held < 2) - .3*min(2,gap)
options.append((cost+best[finish][0], (finish,*best[finish][1])))
if options:
best[start] = min(options)
if 0 not in best:
# A single extended held event is one musical unit, regardless of length.
stops = (end,)
else:
stops = best[0][1]
result, start = [], fractions.Fraction()
for finish in stops:
actual = tuple(n for n in notes if n.start < finish and n.end > start)
cursor, rests = start, []
for n in actual:
if cursor < n.start:
rests.append((cursor,n.start))
cursor = n.end
if cursor < finish:
rests.append((cursor,finish))
origin = actual[0].pitch.number() if actual else 0
shape = tuple((n.start-start,n.end-start,n.pitch.number()-origin) for n in actual)
family = hashlib.sha256(repr(shape).encode()).hexdigest()[:12]
pickup = tuple(dataclasses.replace(n,start=n.start-offset,end=n.end-offset,event_id=n.sources[0]) for n in melody if n.end<=offset) if start==0 else ()
result.append(generator.solo.types.SourcePhrase(f'source_{start}_{finish}',start,finish,actual,tuple(rests),family,pickup))
start = finish
return tuple(result)
+8 -2
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@@ -93,7 +93,8 @@ def apply(source, parts, *, rhythms, scales, sequences, solos=None, revise=True,
head_first, head_count, _, _ = sections[2]
head = parts['electric']['staves'][0]['measures'][head_first:head_first + head_count]
reports = []
for section_index, part, other in ((3, 'acoustic', 'electric'), (4, 'electric', 'acoustic')):
requests = {}
for section_index, part in ((3, 'acoustic'), (4, 'electric')):
first, count, offset, length = sections[section_index]
initial = generator.accompaniment.carried_chords(parts[part]['staves'][0]['measures'])[first]
template = copy.deepcopy(parts[part]['staves'][0]['measures'][first:first + count])
@@ -103,7 +104,12 @@ def apply(source, parts, *, rhythms, scales, sequences, solos=None, revise=True,
sounding = [generator.model.fraction(n['onset']) for n in generator.score.measure_notes(pickup) if n['pitches']]
if sounding:
cutoff -= generator.model.fraction(pickup['duration']) - min(sounding)
solo = generator.solo.composer.compose(analysis, template, part, cutoff, scales=scales, sequences=sequences, rhythms=rhythms, initial=initial, revise=revise, references=references, stage=stage, context=(contexts or {}).get(part))
requests[part] = (template, cutoff, initial)
selected = generator.solo.composer.compose_pair(analysis, requests, scales=scales, sequences=sequences, rhythms=rhythms, contexts=contexts, stage=stage)
for solo, section_index, other in zip(selected, (3, 4), ('electric', 'acoustic')):
part = solo.part
first, count, offset, length = sections[section_index]
template, cutoff, initial = requests[part]
if solos is not None:
solos.append(solo)
foreground = generator.solo.notation.measures(template, solo.notes(), 'solo_' + part)
+5 -5
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@@ -121,10 +121,10 @@ def capture(root, stage, libraries=None, contexts=None):
for phrase in solo.phrases:
if not phrase.draft:
continue
begin = boundaries.index(phrase.plan.start)
begin = max(i for i,boundary in enumerate(boundaries) if boundary <= phrase.plan.start)
stop = next(i for i, boundary in enumerate(boundaries) if boundary >= phrase.plan.end)
view = excerpt(parts[solo.part], first + begin, stop - begin)
local = tuple(dataclasses.replace(n, start=n.start - phrase.plan.start, end=n.end - phrase.plan.start, continuation=False if i == 0 else n.continuation) for i, n in enumerate(phrase.draft.notes))
local = tuple(dataclasses.replace(n, start=n.start - boundaries[begin], end=n.end - boundaries[begin], continuation=False if i == 0 else n.continuation) for i, n in enumerate(phrase.draft.notes))
placed = generator.solo.placement.place(local, solo.tempo)
if placed is None:
raise ValueError(f'{phrase.plan.id}: draft cannot be placed for independent audition')
@@ -143,16 +143,16 @@ def capture(root, stage, libraries=None, contexts=None):
if placed is None:
raise ValueError(stage_name + ': selected theme cannot be placed')
sounded = generator.solo.types.sounding_notes(placed[1])
contracts = tuple(dict.fromkeys(t for p in solo.phrases for t in p.state.treatments if t.kind != 'chromatic_approach'))
contracts = tuple(dict.fromkeys(t for p in solo.phrases for t in p.state.treatments))
checked = generator.solo.harmonic.Harmony(solo.choices).evaluate(sounded, contracts, until=solo.end, complete=True)
if not checked.valid:
if not checked.valid and stage_name != 'initial':
raise ValueError(stage_name + ': ' + checked.error)
view = excerpt(parts[solo.part], first, count)
foreground = generator.solo.notation.measures(view['staves'][0]['measures'], placed[1], stage_name + '_' + solo.part)
generator.solo.notation.replace_region(view, 0, foreground)
generator.model.validate_document(view)
generator.fretboard.validate_document(view)
stages[stage_name] = {'document': view, 'attacks': len(sounded), 'occupancy': float(sum(n.end - n.start for n in sounded) / solo.end), 'harmonic_exposure': checked.exposure}
stages[stage_name] = {'document': view, 'attacks': len(sounded), 'occupancy': float(sum(n.end - n.start for n in sounded) / solo.end), 'harmonic_exposure': checked.exposure, 'harmonic_valid': checked.valid, 'harmonic_error': checked.error}
song['solos'][solo.part]['lead_stages'] = stages
print(path.stem, solo.part, json.dumps({k: v for k, v in song['solos'][solo.part]['metrics'].items() if k != 'search'}), flush=True)
result['songs'][path.stem] = song
+35 -31
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@@ -15,45 +15,49 @@ import generator.solo.policy
import generator.solo.realization
import generator.solo.types
def compose(analysis, measures, part, end, *, scales, sequences, rhythms, initial=None, revise=True, context=None, references=(), stage='elaborated'):
def compose(analysis, measures, part, end, *, scales, sequences, rhythms, initial=None, revise=True, context=None, references=(), stage='elaborated', mode='thematic'):
timeline = generator.scales.timeline.read({'measures': measures}, initial=initial)
region = generator.scales.timeline.Solo(fractions.Fraction(), end, part.capitalize() + ' Solo')
choices = generator.scales.selection.select(timeline, region, scales)
for choice in choices:
if choice.span.chord and choice.scale is None:
raise ValueError(f'{part} solo, source measure {choice.span.source_measure}, beat {choice.span.beat}, {generator.harmony.symbol(choice.span.chord)}: No exact match within the permitted catalog')
plans = generator.solo.planning.plans(analysis, measures, choices, end, part, sequences, lead=bool(references))
retained = tuple((plan.start + n.start, plan.start + n.end, {n.pitch.number() % 12}) for plan in plans if plan.treatment in ('quote', 'exact_quote') for n in plan.motif.notes)
if retained and not all(pc <= generator.solo.types.permitted(choices, start, finish) for start, finish, pc in retained):
choices = generator.scales.selection.select(timeline, region, scales, retained=retained)
if not all(pc <= generator.solo.types.permitted(choices, start, finish) for start, finish, pc in retained):
raise ValueError(f'{part} solo: protected quotation has no exact compatible scale collection')
choices = tuple(dataclasses.replace(c, reason=c.reason + '; retained quotation') if any(a < c.span.end and b > c.span.start for a, b, _ in retained) else c for c in choices)
from generator.solo import leads
context = context if context is not None else generator.solo.realization.SearchContext()
context.revise = revise
context.references = references
context.stage = stage
def realize(plan, previous):
for attempt in range(generator.solo.policy.DEFAULT.replan_attempts + 1):
context.batch = attempt
try:
options = generator.solo.realization.alternatives(plan, measures, choices, sequences, rhythms, analysis.tempo, previous, context)
return options
except generator.solo.realization.SearchExhausted as error:
if attempt == generator.solo.policy.DEFAULT.replan_attempts or plan.treatment in ('quote', 'exact_quote', 'lead'):
raise
context.diagnostics.setdefault('replanning', []).append({'phrase': plan.id, 'attempt': attempt + 1, 'reason': str(error), 'adjustment': 'next diverse complete rhythm and anchor constructions; contracts unchanged'})
phrases = choose_phrases(plans, realize, lambda first, second, incoming: generator.solo.realization.revise_pair(first, second, incoming, choices, sequences, analysis.tempo, context))
context.diagnostics['policy'] = generator.solo.policy.describe()['fingerprint']
context.diagnostics['musical_identity'] = generator.solo.analysis.identity(analysis, measures, part)
passage_ids = tuple(dict.fromkeys(p.passage_id for p in plans if p.passage_id))
passages = tuple(generator.solo.types.MelodicPassagePlan(identifier, min(p.start for p in plans if p.passage_id == identifier), max(p.end for p in plans if p.passage_id == identifier), tuple(p.id for p in plans if p.passage_id == identifier), next(p.seed for p in plans if p.passage_id == identifier)) for identifier in passage_ids)
result = generator.solo.types.Solo(part, choices, tuple(phrases), analysis.tempo, end, context.diagnostics, passages)
options = leads.solo_options(analysis, measures, part, end, choices, sequences, rhythms, context, stage, mode)
result = options[0][1]
validate(result)
return result
def compose_pair(analysis, requests, *, scales, sequences, rhythms, contexts=None, stage='elaborated', mode='thematic'):
"""Select two recognizable interpretations together, before arranging backing."""
from generator.solo import leads
pools = {}
for part, (measures,end,initial) in requests.items():
timeline = generator.scales.timeline.read({'measures': measures},initial=initial)
choices = generator.scales.selection.select(timeline,generator.scales.timeline.Solo(0,end,part),scales)
for c in choices:
if c.span.chord and c.scale is None:
raise ValueError(f'{part} solo, source measure {c.span.source_measure}: No exact match within the permitted catalog')
context = (contexts or {}).get(part) or generator.solo.realization.SearchContext()
pools[part] = leads.solo_options(analysis,measures,part,end,choices,sequences,rhythms,context,stage,mode)
def theme_key(solo):
home=next((p.state.home for p in solo.phrases if p.state and p.state.home),None)
if not home or not home.notes:return ()
return tuple((n.start-home.notes[0].start,n.end-n.start,n.pitch.number()-home.notes[0].pitch.number()) for n in home.notes)
pairs = [(a_cost+e_cost+2*leads.similarity(a,e),a,e) for a_cost,a in pools['acoustic'] for e_cost,e in pools['electric']
if mode!='thematic' or not theme_key(a) or theme_key(a)!=theme_key(e)]
if not pairs:
raise generator.solo.realization.SearchExhausted('Distinct acoustic/electric themes not found within the bounded pair search')
_,acoustic,electric = min(pairs,key=lambda v:(v[0],generator.solo.policy.stable_rank('solo-pair',(v[1].notes(),v[2].notes()))))
overlap = leads.similarity(acoustic,electric)
for solo in (acoustic,electric):
solo.diagnostics.update(pair_similarity=overlap,pairs_compared=len(pairs),solo_alternatives=len(pools[solo.part]))
validate(solo)
return acoustic,electric
def phrase_notes(phrase):
notes = tuple(n for d in phrase.decisions for n in d.notes)
if notes and notes[0].continuation:
@@ -116,8 +120,8 @@ def validate(solo):
for note in solo.notes():
if note.start < 0 or note.end > solo.end or note.end <= note.start or previous and previous.end > note.start:
raise ValueError(f'{solo.part} solo: overlapping or out-of-bounds note at {note.start}')
# Harmony.evaluate below owns scale permission and the narrow, verified
# chromatic exception; no separate permissive final-validation path.
if note.pitch.number() % 12 not in generator.solo.types.permitted(solo.choices, note.start, note.end):
raise ValueError(f'{solo.part} solo: note outside mapped collection at {note.start}')
if note.position not in generator.fretboard.single_positions_for_pitch(fractions.Fraction(note.pitch.number())):
raise ValueError(f'{solo.part} solo: invalid guitar placement at {note.start}')
previous = note
+1 -1
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@@ -385,7 +385,7 @@ def relationship_features(draft, notes):
actual = tuple((b.pitch.number() > a.pitch.number()) - (b.pitch.number() < a.pitch.number()) for a, b in zip(group, group[1:]))
direction.extend(a != b for a, b in zip(actual, transform.directions))
reference = draft.reference_motif if transform.operation in ('statement', 'contrast') else draft.home
if reference and not draft.lead_identity and transform.operation not in ('close', 'fragment', 'broaden_ending'):
if reference and not draft.lead_identity and not draft.source_phrase and transform.operation not in ('close', 'fragment', 'broaden_ending'):
development.append(generator.solo.references.relationship(group, reference))
joins = []
for time in draft.joins:
+3 -29
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@@ -99,32 +99,6 @@ class Harmony:
for treatment in treatments:
if treatment.start >= until:
continue
if treatment.kind == 'chromatic_approach':
approach = next((n for n in notes if n.event_id == treatment.event), None)
if (approach is None or approach.role == 'quote' or approach.pitch.number() != treatment.pitch
or approach.start != treatment.start or approach.end != treatment.end
or approach.end - approach.start != fractions.Fraction(1, 2)
or approach.start % 1 != fractions.Fraction(1, 2)
or treatment.resolution is None or abs(treatment.pitch - treatment.resolution) != 1
or treatment.deadline != approach.end or len(self.segments(approach)) != 1):
return Result(False, 0, error=f'{treatment.id}: invalid chromatic approach event or timing')
span = self.at(approach.start)
if not span or not span.scale or treatment.pitch % 12 in span.scale.pitches:
return Result(False, 0, error=f'{treatment.id}: approach requires mapped harmony and an out-of-collection pitch')
resolution = next((n for n in notes if n.start == approach.end), None)
if resolution:
destination = self.at(resolution.start)
if (resolution.event_id != treatment.resolution_event or resolution.continuation
or resolution.pitch.number() != treatment.resolution or not destination or not destination.scale
or treatment.resolution % 12 not in destination.roles.basic
or treatment.resolution % 12 not in generator.solo.types.permitted(self.choices, resolution.start, resolution.end)):
return Result(False, 0, error=f'{treatment.id}: chromatic approach has no immediate chord-tone resolution')
elif complete or until > approach.end:
return Result(False, 0, error=f'{treatment.id}: unresolved chromatic approach')
else:
pending.append(treatment)
valid_contracts.append(treatment)
continue
if treatment.kind == 'color':
spans = [s for s in self.spans if s.start < treatment.end and s.end > treatment.start]
if not spans or any(treatment.pitch % 12 not in s.roles.basic | s.roles.specified for s in spans):
@@ -155,8 +129,8 @@ class Harmony:
sounding += float(duration)
covered = note.start
for span, start, end in self.segments(note):
contract = next((t for t in valid_contracts if t.pitch == number and t.start <= start and t.end >= end and (t.kind != 'chromatic_approach' or t.event == note.event_id)), None)
if start > covered or not span.scale or number % 12 not in span.scale.pitches and not (contract and contract.kind == 'chromatic_approach'):
contract = next((t for t in valid_contracts if t.pitch == number and t.start <= start and t.end >= end), None)
if start > covered or not span.scale or number % 12 not in span.scale.pitches:
return Result(False, 0, error=f'{note.pitch.label()} at {start}-{end}: outside mapped collection or missing harmony')
covered = end
function = self.function(number, span)
@@ -176,7 +150,7 @@ class Harmony:
for index, note in enumerate(notes):
for span, start, end in self.segments(note):
contracts = [t for t in treatments if t.pitch == note.pitch.number() and t.start <= start and t.end >= end]
result.append({'start': str(start), 'end': str(end), 'attack': str(note.start), 'sounding_duration': str(note.end - note.start), 'pitch': note.pitch.label(), 'chord': span.chord, 'function': self.function(note.pitch.number(), span), 'motion': 'chromatic_approach' if any(t.kind == 'chromatic_approach' for t in contracts) else self.connected_motion(notes, index), 'protected': note.role == 'quote', 'treatments': [t.id for t in contracts]})
result.append({'start': str(start), 'end': str(end), 'attack': str(note.start), 'sounding_duration': str(note.end - note.start), 'pitch': note.pitch.label(), 'chord': span.chord, 'function': self.function(note.pitch.number(), span), 'motion': self.connected_motion(notes, index), 'protected': note.role == 'quote', 'treatments': [t.id for t in contracts]})
return result
def anchor_note(anchor, notes, *, until=None):
+8 -7
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@@ -79,12 +79,12 @@ def controls(song, libraries):
return result
def render(root):
baseline = json.loads((root / 'baseline/snapshot.json').read_text())
baseline = json.loads((root / 'paraphrase_baseline/snapshot.json').read_text())
current = json.loads((root / 'elaborated/snapshot.json').read_text())
cache, clips = {}, []
gain = 0.4 # Shared audition gain; every mixed clip is checked for clipping.
manifest = {'implementation': current['implementation'], 'baseline_implementation': baseline['implementation'], 'policy': current['policy'], 'shared_gain': gain, 'clips': clips, 'stage_semantics': 'Initial is the selected plain tune; refined adds complete diatonic runs; elaborated adds validated chromatic approaches. All stages share the same underlying selected tune.'}
body = ['<!doctype html><html lang="en"><meta charset="utf-8"><title>Lead melody comparisons</title><style>body{font:16px system-ui;max-width:1500px;margin:2rem auto;padding:1rem}table{border-collapse:collapse}td,th{padding:.6rem;border-bottom:1px solid #ccc;text-align:left}audio{width:240px}small{display:block}</style><h1>Lead melody comparisons</h1><p>Compare the plain tune, its diatonic runs, and its chromatic approaches. All fixed mixes use the original backing, identical tempo and one shared gain. Solo-only clips remove the backing. Initial/refined exports follow the selected production branches; they are not independent searches.</p><p>These metrics verify behavior, not musical quality. Listen for a recognizable tune, prepared destinations, and runs that belong to the tune. <a href="manifest.json">Diagnostics manifest</a>.</p>']
manifest = {'implementation': current['implementation'], 'baseline_implementation': baseline['implementation'], 'policy': current['policy'], 'shared_gain': gain, 'clips': clips, 'stage_semantics': 'Source is the original head, close paraphrase is the preserved previous plain theme, refined is the newly recomposed theme, and elaborated includes optional in-scale runs. The selected production branch supplies both new stages.'}
body = ['<!doctype html><html lang="en"><meta charset="utf-8"><title>Lead melody comparisons</title><style>body{font:16px system-ui;max-width:1500px;margin:2rem auto;padding:1rem}table{border-collapse:collapse}td,th{padding:.6rem;border-bottom:1px solid #ccc;text-align:left}audio{width:240px}small{display:block}</style><h1>Lead melody comparisons</h1><p>Compare the original head, the previous close paraphrase, the new solo theme, and its optional in-scale runs. Source controls may contain original harmonic tensions that production explicitly adapts. All fixed mixes use the original backing, identical tempo and one shared gain. Solo-only clips remove the backing. Initial/refined exports follow the selected production branches; they are not independent searches.</p><p>These metrics verify behavior, not musical quality. Listen for a recognizable tune, prepared destinations, and runs that belong to the tune. <a href="manifest.json">Diagnostics manifest</a>.</p>']
def clip(prefix, foreground, tempo, backing=()):
path = root / (prefix + '.wav')
@@ -103,13 +103,13 @@ def render(root):
raise ValueError(name + ': source changed during comparison')
for part, solo in song['solos'].items():
other = 'electric' if part == 'acoustic' else 'acoustic'
body.append('<h2>' + html.escape(name.replace('_', ' ').title() + ' — ' + part) + '</h2><table><tr><th>Excerpt</th><th>Baseline</th><th>Plain lead</th><th>Diatonic runs</th><th>Chromatic approaches</th></tr>')
body.append('<h2>' + html.escape(name.replace('_', ' ').title() + ' — ' + part) + '</h2><table><tr><th>Excerpt</th><th>Song source</th><th>Previous close paraphrase</th><th>New theme</th><th>Theme with runs</th></tr>')
for window, offset, count in (('opening8', 0, 8), ('closing4', solo['count'] - 4, 4), ('full', 0, solo['count'])):
first = solo['first'] + offset
backing = tuple(audition.excerpt(old['parts'][p], first, count) for p in (other, 'vocal'))
body.append('<tr><th>' + window + '</th>')
for stage in ('baseline', 'initial', 'refined', 'elaborated'):
foreground = audition.excerpt((old if stage == 'baseline' else song)['parts'][part], first, count) if stage in ('baseline', 'elaborated') else audition.excerpt(solo['lead_stages'][stage]['document'], offset, count)
for stage in ('initial', 'close_paraphrase', 'refined', 'elaborated'):
foreground = audition.excerpt(song['parts'][part], first, count) if stage=='elaborated' else audition.excerpt(old['solos'][part]['lead_stages']['refined']['document'] if stage=='close_paraphrase' else solo['lead_stages'][stage]['document'], offset, count)
prefix = f'{stage}/{name}_{part}_{window}'
path = clip(prefix + '_fixed', foreground, F(solo['tempo']), backing)
solo_path = clip(prefix + '_solo', foreground, F(solo['tempo']))
@@ -119,6 +119,7 @@ def render(root):
clip(prefix + '_responsive', foreground, F(solo['tempo']), tuple(audition.excerpt(song['parts'][p], first, count) for p in (other, 'vocal')))
body.append('</tr>')
body.append('</table>')
body.append(f'<p><a href="paraphrase_baseline/{name}_{part}_full_solo.wav">Previous complete production solo</a></p>')
prefix = f'elaborated/{name}_{part}'
(root / (prefix + '.txt')).write_text(solo['report'])
(root / (prefix + '.json')).write_text(json.dumps(solo['structure'], indent=2) + '\n')
@@ -141,7 +142,7 @@ def render(root):
def main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument('--output', type=pathlib.Path, default=pathlib.Path('build/solo_lead_melody_auditions'))
parser.add_argument('--output', type=pathlib.Path, default=pathlib.Path('build/solo_melody_auditions'))
action = parser.add_mutually_exclusive_group(required=True)
action.add_argument('--capture', action='store_true')
action.add_argument('--render', action='store_true')
+367 -298
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"""Complete paired lead ideas, realized by the existing phrase/output pipeline.
"""Source-phrase variations: edit actual music, then realize complete routes.
The bounded search branches on a whole timed hook or answer. Every pitch in
that group is measured from one fixed origin, never from a previously repaired
note. The original identity survives harmonic adaptation and passage changes.
The external lead references are audition controls, never production seeds.
All notes use sounding coordinates and all time uses quarter-note Fractions.
"""
from __future__ import annotations
import dataclasses
import fractions
import itertools
import time
import generator.harmony
import generator.model
import generator.solo.drafts as drafts
import generator.solo.harmonic as harmonic
import generator.solo.policy as policy
import generator.solo.types as types
import generator.fretboard
from generator.solo import types, harmonic, policy, placement, routes, sequences, drafts
F = fractions.Fraction
def identities(references, incoming):
reference = references[0]
low, high = reference.features[0][1:]
source = tuple(n for n in reference.notes if low <= n.start < high)
rhythm = tuple(n.end - n.start for n in source)
if len(rhythm) != 4:
raise ValueError('lead reference requires a complete four-attack identifying figure')
rhythms = (rhythm, (rhythm[1], rhythm[2], rhythm[0], rhythm[3]), (F(1), F(1, 2), F(3, 2), F(1)))
shapes = ((0, 3, 2, 0), (0, -3, -2, 0), (0, 2, 1, -1), (0, 0, 2, 1))
result = [types.LeadIdentity(f'{reference.id}:lead:{i}:{j}', durations, degrees, reference.id)
for i, durations in enumerate(rhythms) for j, degrees in enumerate(shapes)]
if incoming.lead_identity:
result = [incoming.lead_identity, *(x for x in result if x != incoming.lead_identity)]
return tuple(result[:policy.DEFAULT.lead_identities])
def timings(start, length, durations, finish, harmony):
"""Fit meter on an eighth-note grid; never compress into tiny tuplets."""
cursor, result = start, []
ideal = [duration * length / sum(durations) * 2 for duration in durations]
ticks = [max(1, int(value)) for value in ideal]
available = int(length * 2)
if available < len(ticks) or length * 2 != available:
def signature(notes):
return tuple((n.start, n.end, n.pitch.number()) for n in notes)
def shift(notes, octave):
return tuple(dataclasses.replace(n, pitch=dataclasses.replace(n.pitch, octave=n.pitch.octave+octave),
position=None, role='source', event_id=n.event_id or n.sources[0]) for n in notes)
def available(harmony, start, end, *, members=False):
span = harmony.at(start)
allowed = types.permitted(harmony.choices, start, end)
if members:
allowed &= harmony.members(start, end)
if not span or not span.scale:
return ()
while sum(ticks) < available:
index = max(range(len(ticks)), key=lambda i: (ideal[i] - ticks[i], -i))
ticks[index] += 1
while sum(ticks) > available:
index = max((i for i in range(len(ticks)) if ticks[i] > 1), key=lambda i: (ticks[i] - ideal[i], -i))
ticks[index] -= 1
for duration in ticks:
end = min(finish, cursor + F(duration, 2))
if cursor < end:
# An authored rest in the harmony is not filled with a melodic fallback.
spans = [s for s in harmony.spans if s.start < end and s.end > cursor]
if spans and all(s.scale for s in spans):
result.append((cursor, end))
cursor = end
return tuple(result)
return tuple(p for i in range(-35, 28) if 41 <= (p := types.scale_pitch(span.scale, i)).number() <= 76 and p.number()%12 in allowed)
def group_options(spans, degrees, register, harmony, previous, identifier, *, home=(), terminal=False):
"""Enumerate whole paired figures, including non-nearest melodic intervals."""
from generator.solo.realization import options
from generator.solo.planning import target_pitches
if not spans:
return ((0., ()),)
cache = getattr(harmony, 'lead_groups', None)
if cache is None:
harmony.lead_groups = cache = {}
key = (spans, degrees, register, previous.pitch if previous else None, identifier, tuple(n.pitch for n in home), terminal)
if key in cache:
return cache[key]
domains = []
for index, (start, end) in enumerate(spans):
available = options(harmony.choices, start, end, register)
if end - start >= policy.DEFAULT.long_note:
members = harmony.members(start, end)
available = tuple(p for p in available if p.number() % 12 in members)
if terminal and index == len(spans) - 1:
chord = next(c.span.chord for c in harmony.choices if c.span.start <= start < c.span.end)
eligible = target_pitches(chord, True) & harmony.members(start, end)
available = tuple(p for p in available if p.number() % 12 in eligible)
if not available:
return ()
domains.append(available)
collection = harmony.at(spans[0][0]).scale
result = []
for origin in domains[0]:
index = types.scale_index(collection, origin.number())
desired = tuple(origin.number() + n.pitch.number() - home[0].pitch.number() for n in home) if home else tuple(types.scale_pitch(collection, index + degree).number() for degree in degrees)
desired = desired[:len(spans)]
if len(desired) < len(spans):
continue
narrowed = [(origin,)] + [tuple(sorted(domain, key=lambda p: (abs(p.number() - target), p))[:2]) for domain, target in zip(domains[1:], desired[1:])]
for pitches in itertools.product(*narrowed):
actual = tuple(b.number() - a.number() for a, b in zip(pitches, pitches[1:]))
intended = tuple(b - a for a, b in zip(desired, desired[1:]))
# A return must supply evidence of the complete heard figure, not just
# its first interval. Harmonic adaptation may alter interval quality.
if home and any((a > 0) - (a < 0) != (b > 0) - (b < 0) or abs(a - b) > 2 for a, b in zip(actual, intended)):
continue
shape = sum(abs(a - b) / 12 + .5 * (((a > 0) - (a < 0)) != ((b > 0) - (b < 0))) for a, b in zip(actual, intended)) / max(1, len(actual))
if not home and shape > .45:
continue
notes = tuple(types.Note(start, end, pitch, (identifier,), 'motif', event_id=f'{identifier}:{start}') for (start, end), pitch in zip(spans, pitches))
stopped = sum(end - start >= 1 and p.number() % 12 not in harmony.at(start).roles.basic for (start, end), p in zip(spans, pitches)) / len(notes)
connection = min(1, abs(origin.number() - previous.pitch.number()) / 12) if previous else 0
result.append((shape + .3 * stopped + .15 * connection, notes))
result.sort(key=lambda v: (v[0], tuple(n.pitch for n in v[1])))
selected = tuple(result[:policy.DEFAULT.lead_realizations])
cache[key] = selected
return selected
def make_phrase(plan, notes, groups, identity, incoming, harmony, tempo, fit):
from generator.solo import realization
def adapt(notes, harmony):
"""Document required harmonic rewrites; never repair a sequence one step at a time."""
result, edits = [], []
for index, note in enumerate(notes):
terminal = index == len(notes)-1
choices = available(harmony,note.start,note.end,members=terminal or note.end-note.start >= 2)
pieces = [(note.start,note.end,choices)]
if not choices:
pieces = [(a,b,available(harmony,a,b,members=terminal or b-a >= 2)) for _,a,b in harmony.segments(note)]
for j,(start,end,domain) in enumerate(pieces):
if not domain:
if harmony.at(start) and harmony.at(start).scale:
return (), ()
edits.append(types.DraftEdit('missing_harmony',start,end,(note.event_id,),(), 'explicit no-chord space'))
continue
pitch = min(domain,key=lambda p:(abs(p.number()-note.pitch.number()),p.number()))
identifier = note.event_id if j == 0 else note.event_id+f':harmonic:{j}'
actual = dataclasses.replace(note,start=start,end=end,pitch=pitch,event_id=identifier)
result.append(actual)
if (start,end,pitch) != (note.start,note.end,note.pitch):
edits.append(types.DraftEdit('harmonic_adaptation',start,end,(note.event_id,),(identifier,),
f'{note.pitch.label()} to {pitch.label()}: sounding duration / {harmony.at(start).chord}'))
if result:
last=result[-1]
domain=available(harmony,last.start,last.end,members=True)
if not domain:
return (),()
if last.pitch.number()%12 not in harmony.members(last.start,last.end):
pitch=min(domain,key=lambda p:(abs(p.number()-last.pitch.number()),p.number()))
result[-1]=dataclasses.replace(last,pitch=pitch)
edits.append(types.DraftEdit('harmonic_destination',last.start,last.end,(last.event_id,),(last.event_id,),
f'{last.pitch.label()} to {pitch.label()}: final sounding arrival before release'))
return tuple(result),tuple(edits)
def identifying(notes, source):
"""A complete heard figure, chosen by its musical content rather than its index."""
if not notes:
return None
first = next((g for g in groups if g[2] in ('statement', 'recall', 'answer_theme')), groups[0])
home_notes = tuple(n for n in notes if first[0] <= n.start < first[1])
home = realization.make_identity(first[3], identity.id, home_notes, first[0], first[1], first[2], harmony)
transformations, features, pairs = [], [], []
parent = incoming.development.id if incoming.development else identity.id
for start, end, operation, group_id in groups:
actual = tuple(n for n in notes if start <= n.start < end)
if not actual:
continue
directions = tuple((b.pitch.number() > a.pitch.number()) - (b.pitch.number() < a.pitch.number()) for a, b in zip(actual, actual[1:]))
transformations.append(types.Transformation(group_id, parent, home.id, operation, start, end, tuple(n.event_id for n in actual), tuple((n.start - start, n.end - start) for n in actual), directions, (), identity.source))
parent = group_id
if operation in ('statement', 'recall', 'answer_theme', 'repeat_with_harmonic_adaptation') and len(actual) == len(identity.degrees):
features.append(types.IdentifyingFeature(group_id + ':hook', tuple(n.event_id for n in actual), tuple((n.start - actual[0].start, n.end - n.start) for n in actual), tuple(b.pitch.number() - a.pitch.number() for a, b in zip(actual, actual[1:])), identity.id))
if operation == 'repeat_with_harmonic_adaptation':
pairs.extend((a.event_id, b.event_id) for a, b in zip(home_notes, actual))
anchors = []
for note, role in ((notes[0], 'opening'), *((n, 'intermediate') for n in notes[1:-1] if any(n.start == g[0] and g[2] == 'repeat_with_harmonic_adaptation' for g in groups)), (notes[-1], 'terminal')):
span = harmony.at(note.start)
if note.pitch.number() % 12 not in span.roles.basic:
if role != 'terminal':
continue
return None
anchors.append(types.Anchor(note.event_id + ':anchor', note.start, note.start, note.pitch, span.roles.basic, plan.register, note.end - note.start, role, span.chord, hold_until=note.end))
last = notes[-1]
passages = (types.ActivitySpan(plan.start, last.end, 'active', plan.activity, F('0.925')),)
if last.end < plan.end:
passages += (types.ActivitySpan(last.end, plan.end, 'space', F(), F()),)
motif = types.Motif(home.id, home.notes, home.duration, tuple(s.chord for s in harmony.spans if s.start < first[1] and s.end > first[0]), 'invented paired lead: ' + identity.id)
actual_plan = dataclasses.replace(plan, motif=motif, passages=passages, release=plan.end - last.end, landmarks=(), anchor_options=(tuple(anchors),), ending='breath' if last.end < plan.end else 'sustain', closure='closed')
draft = types.MelodicDraft(plan.id + ':' + identity.id + ':' + policy.stable_rank(plan.seed, tuple(n.pitch for n in notes))[:10], plan.start, plan.end, notes, tuple(transformations), tuple(a.id.removesuffix(':anchor') for a in anchors), (), tuple(anchors), home, first[2], tuple(g[0] for g in groups[1:]), tuple(features), identity.source, motif, identity, tuple(pairs))
phrase = realization.checked_phrase(actual_plan, draft, notes, (), incoming, harmony, tempo)
if phrase:
state = dataclasses.replace(phrase.state, lead_identity=identity)
# Different complete musical constructions compete before any ornament.
return dataclasses.replace(phrase, state=state, score=phrase.score + fit, initial=draft, refined=draft)
return ()
count = min(4,max(1,len(notes)//2))
windows = [notes[i:i+count] for i in range(len(notes)-count+1)]
def rank(group):
intervals = tuple(b.pitch.number()-a.pitch.number() for a,b in zip(group,group[1:]))
rhythm = {(n.end-n.start) for n in group}
# Favor a rhythm/turn with information; leave long holds available for development.
return (-len(rhythm),-len(set(intervals)),sum(max(F(),n.end-n.start-1) for n in group),group[0].start)
group = min(windows,key=rank)
return (types.IdentifyingFeature(source+':figure',tuple(n.event_id for n in group),
tuple((n.start-group[0].start,n.end-n.start) for n in group),
tuple(b.pitch.number()-a.pitch.number() for a,b in zip(group,group[1:])),source),)
def candidates(plan, measures, choices, incoming, tempo, context):
from generator.solo import realization, sequences
harmony_key = ('lead_harmony', policy.stable_rank('harmony', choices))
if harmony_key not in context.resources:
context.resources[harmony_key] = harmonic.Harmony(choices)
harmony = context.resources[harmony_key]
active = [s for s in harmony.spans if s.scale and s.start < plan.end and s.end > plan.start]
if not active:
silent_plan = dataclasses.replace(plan, passages=(types.ActivitySpan(plan.start, plan.end, 'space', F(), F()),), release=plan.end-plan.start, landmarks=(), anchor_options=())
draft = types.MelodicDraft(plan.id + ':space', plan.start, plan.end, (), (), (), (), (), None, 'space')
phrase = realization.checked_phrase(silent_plan, draft, (), (), incoming, harmony, tempo)
return (dataclasses.replace(phrase, initial=draft, refined=draft),) if phrase else ()
finish = min(plan.end, active[-1].end)
boundaries, cursor = [], F()
for measure in measures:
length = generator.model.fraction(measure['duration'])
if plan.start <= cursor < finish:
boundaries.append((cursor, min(cursor + length, finish)))
cursor += length
result = []
for identity in identities(context.references, incoming):
states = [(0., (), (), ())]
for index, (start, end) in enumerate(boundaries):
final = index == len(boundaries) - 1
hook = index in (0, 2) and not final
returning = hook and index == 2
operation = ('recall' if incoming.lead_identity == identity else 'answer_theme' if incoming.lead_identity else 'statement') if index == 0 else 'repeat_with_harmonic_adaptation' if returning else 'close' if final else 'extend' if index >= 4 else 'answer'
# Paired answers retain the hook's direction of departure. Ending
# alternatives supply timing and pitches together, not inserted holds.
specs = [(identity.durations, identity.degrees)] if hook else [((F(1), F(1, 2), F(1, 2), F(1), F(1)), (0, 1, 2, 1, -1)), ((F(2), F(1, 2), F(1, 2), F(1)), (0, 1, 2, 1))]
if index >= 4 and not final:
reference = context.references[0]
profiles = [d for d in reference.development if d[1] == index * 4 and d[3]]
if profiles:
_, low, high, degrees = profiles[0]
source = tuple(n for n in reference.notes if low <= n.start < high)
specs = [(tuple(n.end - n.start for n in source), degrees)]
if final:
specs = [((F(1), F(1, 2), F(1, 2), F(2)), (0, -1, -2, -1)), ((F(1, 2), F(1, 2), F(1), F(1)), (0, 2, 1, 0))]
if end - start < 2:
specs = [((end - start,), (0,))]
elif end - start < 4:
specs = [((F(1, 2), end - start - F(1, 2)), (0, -1)), ((F(1), end - start - 1), (0, 1))]
following = []
for cost, notes, groups, home in states:
for variant, (durations, degrees) in enumerate(specs):
release = F(1) if final and variant == 1 and end - start >= 4 else F()
spans = timings(start, end - start - release, durations, end - release, harmony)
identifier = f'{plan.id}:{identity.id}:{index}:{variant}'
previous = notes[-1] if notes else incoming.last
heard = home if returning else incoming.home.notes if index == 0 and incoming.home and incoming.lead_identity == identity else ()
for local_cost, actual in group_options(spans, degrees, plan.register, harmony, previous, identifier, home=heard, terminal=final):
if not actual:
following.append((cost, notes, groups, home))
continue
following.append((cost + local_cost, (*notes, *actual), (*groups, (start, end, operation, identifier)), actual if index == 0 else home))
states = sorted(following, key=lambda v: (v[0], tuple(n.pitch for n in v[1])))[:policy.DEFAULT.lead_realizations]
context.diagnostics['evaluated_extensions'] += len(following)
context.diagnostics['peak_states'] = max(context.diagnostics['peak_states'], len(states))
if not states:
context.diagnostics.setdefault('lead_failures', []).append({'phrase': plan.id, 'identity': identity.id, 'start': str(start), 'end': str(end), 'operation': operation, 'reason': 'no complete figure satisfies the harmonic, duration and return constraints within the bounded candidate pool'})
break
for cost, notes, groups, home in states:
if not notes:
continue
phrase = make_phrase(plan, notes, groups, identity, incoming, harmony, tempo, cost / max(1, len(groups)))
if phrase:
# A heard identity is a real option across passages, not obligatory
# perpetual development of whichever fragment happened most recently.
if incoming.lead_identity and identity != incoming.lead_identity:
phrase = dataclasses.replace(phrase, score=phrase.score + .15)
result.append(phrase)
context.diagnostics['generated_candidates'] += len(result)
return sequences.diverse(result, lambda p: (p.score, policy.stable_rank(plan.seed, p.draft.id)), lambda p: p.draft.lead_identity.id, policy.DEFAULT.phrase_alternatives)
def approach_pitch(target, number):
"""Spell a semitone neighbor using the adjacent diatonic letter."""
letters = generator.model.LETTERS
step = 1 if number > target.number() else -1
index = letters.index(target.letter) + step
octave, degree = divmod(index, 7)
candidates = []
for letter, octave in ((letters[degree], target.octave + octave), (target.letter, target.octave)):
natural = generator.model.NATURAL[letter] + 12 * (octave + 1)
candidates.append(types.Pitch(letter, F(number - natural), octave))
# A natural above A-flat is clearer than B-double-flat; an ordinary
# leading tone still uses its adjacent letter (D-sharp into E).
return min(candidates, key=lambda p: abs(p.alter))
def chromatic(phrase, incoming, harmony, tempo):
from generator.solo import realization
notes = realization.emitted_notes(phrase)
protected = {*phrase.draft.protected, *phrase.draft.structural, *(e for f in phrase.draft.features for e in f.events)}
budget = min(policy.DEFAULT.chromatic_max_per_eight_bars, max(1, int((phrase.plan.end - phrase.plan.start) / 8)))
proposals = []
for index, (note, target) in enumerate(zip(notes, notes[1:])):
if note.event_id in protected or note.end - note.start != F(1, 2) or note.start % 1 != F(1, 2) or note.end != target.start or len(harmony.segments(note)) != 1:
continue
span, destination = harmony.at(note.start), harmony.at(target.start)
if not span or not span.scale or not destination or target.pitch.number() % 12 not in destination.roles.basic:
continue
for number in (target.pitch.number() - 1, target.pitch.number() + 1):
if number % 12 in span.scale.pitches or not phrase.plan.register[0] <= number <= phrase.plan.register[1]:
continue
pitch = approach_pitch(target.pitch, number)
treatment = types.HarmonicTreatment(note.event_id + ':chromatic', 'chromatic_approach', number, note.start, note.end, target.pitch.number(), target.start, F(), note.event_id, target.event_id)
smooth = abs(number - (notes[index - 1].pitch.number() if index else note.pitch.number()))
proposals.append((smooth, abs(number - note.pitch.number()), note.start, index, pitch, treatment))
chosen_times, used_routes = [], set()
previous_times = [t.start for t in incoming.treatments if t.kind == 'chromatic_approach']
original_score = phrase.score
for _, _, _, index, pitch, treatment in sorted(proposals, key=lambda p: p[:4]):
if len(chosen_times) >= budget or any(abs(treatment.start - t) < 8 for t in (*previous_times, *chosen_times)):
continue
route_ids = {r.id for r in phrase.routes if any(n.event_id == treatment.event for n in r.notes)}
if route_ids & used_routes:
continue
original = realization.emitted_notes(phrase)
changed = tuple(dataclasses.replace(n, pitch=pitch, position=None, role='chromatic_approach') if n.event_id == treatment.event else n for n in original)
contracts = (*phrase.state.treatments, treatment)
if not harmony.evaluate(changed, contracts, complete=True).valid:
continue
draft = realization.rebase_draft(phrase.draft, changed, harmony)
edit = types.DraftEdit('chromatic_approach', treatment.start, treatment.deadline, (treatment.event,), (treatment.event,), 'semitone resolution to ' + treatment.resolution_event)
checked = realization.checked_phrase(phrase.plan, draft, changed, contracts, incoming, harmony, tempo, (*phrase.edits, edit))
if checked:
routes = tuple(dataclasses.replace(r, notes=tuple(dataclasses.replace(n, pitch=pitch, position=None, role='chromatic_approach') if n.event_id == treatment.event else n for n in r.notes), relationship=r.relationship + ('; chromatic approach' if r.id in route_ids else '')) for r in phrase.routes)
phrase = dataclasses.replace(checked, score=original_score, initial=phrase.initial, refined=phrase.refined, routes=routes, state=dataclasses.replace(checked.state, lead_identity=phrase.state.lead_identity))
chosen_times.append(treatment.start)
used_routes.update(route_ids)
return phrase
def alternatives(plan, measures, choices, sequences, tempo, previous, context):
from generator.solo import realization
incoming = previous if isinstance(previous, types.ContinuationState) else types.ContinuationState('', last=previous)
context.resources[id(sequences)] = sequences
key = ('paired-lead', plan, incoming, policy.stable_rank('harmony', choices), tuple(generator.model.fraction(m['duration']) for m in measures), tempo, id(sequences), tuple(r.version for r in context.references), policy.describe()['fingerprint'], context.stage)
if key in context.results:
context.diagnostics['cache_hits'] += 1
return context.results[key]
started = time.monotonic()
context.diagnostics['searches'] += 1
complete = candidates(plan, measures, choices, incoming, tempo, context)
if not complete:
raise realization.SearchExhausted(f'{plan.id}: no complete paired lead reaches the terminal harmony within {policy.DEFAULT.lead_identities} identities / {policy.DEFAULT.lead_realizations} realizations; not proof of incompatibility')
harmony = harmonic.Harmony(choices)
result = []
for phrase in complete:
score, identity = phrase.score, phrase.state.lead_identity
if context.stage != 'initial':
# The complete plain tune is selected by the same score in all stages.
# Ornament quality cannot rescue a weak underlying idea.
phrase = realization.elaborate(phrase, incoming, harmony, sequences, tempo, context)
diatonic = realization.rebase_draft(phrase.draft, realization.emitted_notes(phrase), harmony)
phrase = dataclasses.replace(phrase, refined=diatonic, score=score, state=dataclasses.replace(phrase.state, lead_identity=identity))
if context.stage == 'elaborated':
phrase = chromatic(phrase, incoming, harmony, tempo)
result.append(dataclasses.replace(phrase, score=score))
context.diagnostics['construction_seconds'] = context.diagnostics.get('construction_seconds', 0) + time.monotonic() - started
context.diagnostics.setdefault('complete_ideas', {})[policy.stable_rank('incoming', (plan.id, incoming))[:16]] = [{'id': p.draft.id, 'identity': p.draft.lead_identity.id if p.draft.lead_identity else 'space', 'score': p.score, 'attacks': len(p.initial.notes), 'return_pairs': len(p.draft.correspondence), 'edits': [e.kind for e in p.edits]} for p in result]
context.results[key] = tuple(result)
def variations(notes, source, harmony):
"""One purposeful timing or pitch edit; no generic replacement openings."""
result=[]
if source.pickup and notes and source.start==0:
length=-source.pickup[0].start
if notes[0].end-length>=F(1,2):
pickup=tuple(dataclasses.replace(n,start=n.start+length,end=n.end+length) for n in source.pickup)
changed=(*pickup,dataclasses.replace(notes[0],start=length),*notes[1:])
if harmony.evaluate(changed,complete=True).valid:
result.append((changed,(types.DraftEdit('pickup_entrance',F(),notes[0].end,(notes[0].event_id,),
tuple(n.event_id for n in pickup)+(notes[0].event_id,),source.id+': bring source pickup inside the solo and shorten its first hold'),)))
for i,(before,note) in enumerate(zip(notes,notes[1:]),1):
if before.end == note.start and before.end-before.start >= 1 and note.end-note.start >= F(1,2):
for displacement in (F(-1,2),F(1,2)):
time = note.start+displacement
if time-before.start < F(1,2) or note.end-time < F(1,2):
continue
changed=(*notes[:i-1],dataclasses.replace(before,end=time),dataclasses.replace(note,start=time),*notes[i+1:])
if harmony.evaluate(changed,complete=True).valid:
edit=types.DraftEdit('rhythmic_paraphrase',before.start,note.end,(before.event_id,note.event_id),(before.event_id,note.event_id),
f'{source.id}: retain both pitches and their order; move shared boundary {displacement} beat')
result.append((changed,(edit,)))
# Structural color is chosen in relation to the original turn, never a new random contour.
if 0 < i < len(notes)-1:
after=notes[i+1]
for p in available(harmony,note.start,note.end,members=note.end-note.start>=1):
if p == note.pitch or abs(p.number()-note.pitch.number())>2:
continue
direction=lambda a,b:(b>a)-(b<a)
if (direction(before.pitch.number(),p.number()),direction(p.number(),after.pitch.number())) != (direction(before.pitch.number(),note.pitch.number()),direction(note.pitch.number(),after.pitch.number())):
continue
changed=(*notes[:i],dataclasses.replace(note,pitch=p),*notes[i+1:])
if harmony.evaluate(changed,complete=True).valid:
edit=types.DraftEdit('melodic_paraphrase',note.start,note.end,(note.event_id,),(note.event_id,),f'{source.id}: {note.pitch.label()} to {p.label()}, retain rhythm and turn')
result.append((changed,(edit,)))
# Broaden or release an ending as an explicit whole-phrase alternative.
if notes and notes[-1].end-notes[-1].start >= F(3,2):
tail=dataclasses.replace(notes[-1],end=notes[-1].end-F(1,2))
result.append(((*notes[:-1],tail),(types.DraftEdit('ending_release',tail.end,notes[-1].end,(tail.event_id,),(tail.event_id,),source.id+': half-beat breath after the arrival'),)))
return tuple(result)
def rhythm_catalog(library, meter):
# Keep complete snippet objects. Slices below retain real rests and durations.
return drafts.catalog(library,meter)
def connection_patterns(start,end,entry,destination,rhythms,meter):
length=end-start
spans={( (F(),length), ):'held'}
for identifier,pattern,total in rhythm_catalog(rhythms,meter):
if total < length:
continue
# Retrieve every exact-duration window, including offbeat and cross-bar windows.
for offset in sorted({F(),*(a for a,_ in pattern)}):
if offset+length>total:
continue
if any(a<offset<b or a<offset+length<b for a,b in pattern):
continue
selected=tuple((a-offset,b-offset) for a,b in pattern if offset<=a and b<=offset+length)
if 2<=len(selected)<=7 and selected[0][0]==0:
spans.setdefault(selected,identifier)
ranked=sequences.diverse(tuple(spans.items()),
lambda item:(abs(len(item[0])-float(length)*1.5),item[1]),
lambda item:(len(item[0]),any(a[1]!=b[0] for a,b in zip(item[0],item[0][1:]))),8)
result=[]
for pattern,identifier in ranked:
events=tuple(dataclasses.replace(entry,start=start+a,end=start+b,role='connection',
event_id=f'{entry.event_id}:route:{a}',position=None) for a,b in pattern)
if len(events)>=2:
result.append(((*events,destination),identifier))
return result
def elaborate(notes, features, harmony, library, rhythms, meter, source, *, sustain_entry=False):
"""Edit an exposed held tail or a complete interior span, with both endpoints known."""
fixed={e for f in features for e in f.events}
windows=[]
for i,(note,target) in enumerate(zip(notes,notes[1:])):
if note.event_id in fixed or note.end != target.start:
continue
if note.end-note.start>=F(3,2):
start=max(note.start+F(1,2),target.start-3)
windows.append((i,start,target,False))
# A source-held ending can arrive later via a related in-scale turn.
if notes and notes[-1].event_id not in fixed and notes[-1].end-notes[-1].start>=F(5,2):
tail=notes[-1]
for duration in (F(1,2),F(1),F(3,2),F(2)):
target=dataclasses.replace(tail,start=tail.end-duration,event_id=tail.event_id+':arrival')
start=max(tail.start+F(1,2),target.start-3)
if target.start-start>=1:
windows.append((len(notes)-1,start,target,True))
result=[]
for i,start,target,terminal in windows:
entry=notes[i];end=target.start
prefix=dataclasses.replace(entry,end=start)
seed=dataclasses.replace(entry,start=start,event_id=entry.event_id+':tail',role='connection')
for pattern,rhythm_id in connection_patterns(start,end,seed,target,rhythms,meter):
for route in routes.candidates(pattern,{target.event_id},harmony,library,(41,76),'develop '+source.id):
if sustain_entry:
# The route owns its complete sounding entry, including the old hold.
joined=dataclasses.replace(route.notes[0],start=entry.start,event_id=entry.event_id)
route=dataclasses.replace(route,notes=(joined,*route.notes[1:]))
actual=(*notes[:i],*route.notes,*notes[i+1 if terminal else i+2:])
else:
actual=(*notes[:i],prefix,*route.notes,*notes[i+1 if terminal else i+2:])
if not harmony.evaluate(actual,complete=True).valid:
continue
if any(abs(b.pitch.number()-a.pitch.number())>7 for a,b in zip(route.notes,route.notes[1:])):
continue
route=dataclasses.replace(route,sources=(*route.sources,'rhythm:'+rhythm_id))
edit=types.DraftEdit('complete_route',start,target.start,(entry.event_id,),tuple(n.event_id for n in route.notes),
source.id+'; '+rhythm_id+'; '+('later terminal arrival on ' if terminal else 'lead into ')+target.pitch.label())
result.append((actual,edit,route))
# Whole routes compete; bounded diversity retains different locations and rhythms.
return sequences.diverse(result,lambda v:(abs(len(v[0])*4/float(source.end-source.start)-5),
sum(abs(b.pitch.number()-a.pitch.number()) for a,b in zip(v[2].notes,v[2].notes[1:])),v[2].id),
lambda v:(v[1].start,v[2].destination.end-v[2].destination.start,len(v[2].notes)),8)
def make_phrase(source, original, refined, notes, edits, route_list, octave, part, harmony, tempo, seed):
from generator.solo import realization
features=identifying(refined,source.id)
# Only fully retained source turns become committed anchor events.
anchors=[]
for i,n in enumerate(notes):
if n.pitch.number()%12 not in harmony.members(n.start,n.end):
continue
role='terminal' if i==len(notes)-1 else 'opening' if i==0 else 'intermediate'
if role=='intermediate' and n.end-n.start<2:
continue
anchors.append(types.Anchor(n.event_id+':anchor',n.start,n.start,n.pitch,harmony.members(n.start,n.end),
(41,76),n.end-n.start,role,harmony.at(n.start).chord,hold_until=n.end))
if notes and (not anchors or anchors[-1].role!='terminal'):
return None
identifier=part+'_'+source.id+'_'+policy.stable_rank(seed,signature(notes))[:12]
motif=types.Motif(source.id,tuple(dataclasses.replace(n,start=n.start-source.start,end=n.end-source.start) for n in refined),
source.end-source.start,tuple(s.chord for s in harmony.spans if s.start<source.end and s.end>source.start),'song melody '+source.family)
home=realization.make_identity(identifier,source.id,refined,source.start,source.end,'source_variation',harmony)
transform=types.Transformation(identifier,source.id,source.family,'source_variation',source.start,source.end,
tuple(n.event_id for n in notes),tuple((n.start-source.start,n.end-source.start) for n in notes),preserves=(),source=source.id)
draft=types.MelodicDraft(identifier,source.start,source.end,notes,(transform,),
tuple(a.id.removesuffix(':anchor') for a in anchors),(),tuple(anchors),home,'source_variation',features=features,
reference=source.id,reference_motif=motif,source_phrase=source,octave_transfer=octave,
source_links=tuple((n.event_id,n.sources) for n in notes))
spaces=[];cursor=source.start
for n in notes:
if n.start>cursor:spaces.append(types.ActivitySpan(cursor,n.start,'space',F(),F()))
spaces.append(types.ActivitySpan(n.start,n.end,'active',F(5,4),F()))
cursor=n.end
if cursor<source.end:spaces.append(types.ActivitySpan(cursor,source.end,'space',F(),F()))
if not notes:spaces=[types.ActivitySpan(source.start,source.end,'space',F(),F())]
plan=types.PhrasePlan(identifier,source.start,source.end,motif,'source_variation','source_variation',None,(41,76),F(5,4),
source.end-cursor,tuple(spaces),(), 'breath' if cursor<source.end else 'sustain','closed',seed,source.id,source.start,source.end, (tuple(anchors),))
phrase=realization.checked_phrase(plan,draft,notes,(),types.ContinuationState(''),harmony,tempo,edits)
if phrase is None:
return None
# Source correspondence is evaluated once. Do not score the imported tune's
# characteristic leaps as generic contour defects or reward filling its rests.
source_by_id={n.event_id:n for n in original}
retained={n.event_id:n for n in notes if n.event_id in source_by_id}
deviation=sum(min(1,abs(n.pitch.number()-retained[k].pitch.number())/5)+
min(1,float(abs(n.start-retained[k].start))/2)+min(1,float(abs((n.end-n.start)-(retained[k].end-retained[k].start)))/2) for k,n in source_by_id.items() if k in retained)/max(1,len(source_by_id))
exposure=harmony.evaluate(notes,complete=True).exposure
density=len(notes)*4/max(.001,float(source.end-source.start))
score=3*deviation+2*exposure+.35*max(0,4-density,density-6)
source_draft=dataclasses.replace(draft,id=identifier+':source',notes=original,features=(),anchors=(),structural=())
refined_draft=dataclasses.replace(draft,id=identifier+':variation',notes=refined,features=features,anchors=(),structural=())
return dataclasses.replace(phrase,score=score,initial=source_draft,refined=refined_draft,routes=route_list)
def candidates(source, harmony, sequences_library, rhythms, meter, part, tempo, seed, *, stage='elaborated'):
result=[]
for octave in range(-3,4):
original=shift(source.notes,octave)
if any(not generator.fretboard.single_positions_for_pitch(F(n.pitch.number())) for n in original):
continue
adapted,required=adapt(original,harmony)
if original and not adapted and any(harmony.at(n.start) and harmony.at(n.start).scale for n in original):
continue
variants=list(variations(adapted,dataclasses.replace(source,pickup=shift(source.pickup,octave)),harmony))
if required or not adapted:
variants.append((adapted,()))
# A whole preserved phrase is the baseline, not an accidental production fallback.
if not variants:
continue
variants=sequences.diverse(variants,lambda v:(len(v[1]),policy.stable_rank(seed,signature(v[0]))),
lambda v:(v[1][0].kind if v[1] else 'harmonic_adaptation',v[1][0].start if v[1] else source.start),8)
for refined,changes in variants:
options=[(refined,(),())]
if stage=='elaborated':
connections=elaborate(refined,identifying(refined,source.id),harmony,sequences_library,rhythms,meter,source)
options.extend((notes,(edit,),(route,)) for notes,edit,route in connections)
# A second, distinct source-held span may develop the same phrase.
# Reuse complete routes; never elaborate an already elaborated event.
for first_notes,first_edit,first_route in connections[:2]:
fixed=(*identifying(refined,source.id),types.IdentifyingFeature('route',
tuple(n.event_id for n in first_route.notes)+first_edit.removed,(),(),source.id))
second=elaborate(first_notes,fixed,harmony,sequences_library,rhythms,meter,source)
options.extend((actual,(first_edit,edit),(first_route,route)) for actual,edit,route in second[:2])
for notes,added,route_list in options:
phrase=make_phrase(source,original,refined,notes,(*required,*changes,*added),route_list,octave,part,harmony,tempo,seed)
if phrase:
result.append(phrase)
# Preserve register AND edit-location diversity, rather than eight near-copies.
unique={signature(p.draft.notes):p for p in result}
return sequences.diverse(tuple(unique.values()),lambda p:(p.score,policy.stable_rank(seed,p.draft.id)),
lambda p:p.draft.octave_transfer,policy.DEFAULT.source_variations)
def clipped_sources(analysis,end):
result=[]
for source in analysis.source_phrases:
if source.start>=end:break
finish=min(source.end,end)
notes=tuple(dataclasses.replace(n,start=max(F(),n.start),end=min(n.end,finish)) for n in source.notes if n.start<finish and n.end>0)
result.append(dataclasses.replace(source,end=finish,notes=notes,rests=tuple((a,min(b,finish)) for a,b in source.rests if a<finish)))
return tuple(result)
def transition(first,second):
if not first or not first.decisions or not second.decisions:return 0.
a=first.state.last;b=second.decisions[0].notes[0]
leap=max(0,abs(a.pitch.number()-b.pitch.number())-7)/12
same_family=first.draft.source_phrase.family==second.draft.source_phrase.family
repeated_end=not same_family and first.anchors and second.anchors and first.anchors[-1].pitch==second.anchors[-1].pitch and first.anchors[-1].duration==second.anchors[-1].duration
return .2*leap+.15*bool(repeated_end)
def solo_options(analysis,measures,part,end,choices,library,rhythms,context,stage,mode='thematic'):
from generator.solo import realization, themes
if mode not in ('thematic','paraphrase'):raise ValueError('Unknown solo treatment: '+mode)
context.resources[id(library)]=library
context.resources[id(rhythms)]=rhythms
harmony=harmonic.Harmony(choices)
sources=themes.windows(analysis,measures,end,harmony) if mode=='thematic' else clipped_sources(analysis,end)
seed=policy.stable_rank('source_variations', (analysis.melody,choices,policy.SEED_NAMESPACE))
states=[(0.,())]
for source in sources:
meter=measures[min(len(measures)-1,int(source.start//generator.model.fraction(measures[0]['duration'])))]['time_signature']
following=[]
for cost,history in states:
incoming=history[-1].state if history else types.ContinuationState('')
key=(mode,source,incoming if mode=='thematic' else None,policy.stable_rank("harmony",choices),part,analysis.tempo,seed,stage,id(library),id(rhythms),policy.DEFAULT)
if key in context.results:
pool=context.results[key];context.diagnostics['cache_hits']+=1
else:
if mode=='thematic' and any(c.scale and c.span.start<source.end and c.span.end>source.start for c in choices):
pool=()
for batch in range(2):
pool=themes.phrase_candidates(source,analysis,incoming,part,harmony,library,rhythms,meter,analysis.tempo,context,seed,stage=stage,batch=batch,final=source.end==end)
if pool:break
context.diagnostics['theme_replans']=context.diagnostics.get('theme_replans',0)+1
elif mode=='thematic':
pool=themes.silence(source,incoming,part,harmony,analysis.tempo,seed)
else:
pool=candidates(source,harmony,library,rhythms,meter,part,analysis.tempo,seed,stage=stage)
context.results[key]=pool;context.diagnostics['generated_candidates']+=len(pool)
context.diagnostics.setdefault('source_candidate_pools', {}).setdefault(source.id,[]).extend(
{'id':p.draft.id,'score':p.score,'octave':p.draft.octave_transfer,'attacks':len(p.draft.notes),'edits':[e.kind for e in p.edits],'source_family':source.family,'theme':p.state.home.id if p.state.home else None} for p in pool)
for candidate in pool:
# The thematic constructor has already placed all decisions from the
# actual incoming state; do not collapse its motif groups into one bar.
if mode=='thematic':
total=cost+candidate.score*float(source.end-source.start)/float(end)+transition(history[-1] if history else None,candidate)
following.append((total,(*history,candidate)))
continue
last=incoming.last
placements=placement.alternatives(tuple(n for d in candidate.decisions for n in d.notes),analysis.tempo,last,limit=2)
for travel,notes in placements:
decision=dataclasses.replace(candidate.decisions[0],notes=notes) if candidate.decisions else None
state=dataclasses.replace(candidate.state,notes=notes,last=notes[-1] if notes else last,travel=travel)
placed=dataclasses.replace(candidate,decisions=(decision,) if decision else (),state=state)
total=cost+candidate.score*float(source.end-source.start)/float(end)+.05*travel/max(1,len(notes))/2000+transition(history[-1] if history else None,placed)
following.append((total,(*history,placed)))
if not following:
raise realization.SearchExhausted(f'{part} {source.id}: {mode} feature, harmonic destination or continuation failed within the bounded search; not proof of incompatibility')
states=sequences.diverse(following,lambda v:(v[0],policy.stable_rank(seed,tuple((p.draft.id,p.state.last.position if p.state.last else None) for p in v[1]))),
lambda v:(v[1][-1].state.home.id if mode=='thematic' and v[1][-1].state.home else tuple(p.draft.octave_transfer for p in v[1])),policy.DEFAULT.chorus_frontier)
return tuple((cost,types.Solo(part,choices,phrases,analysis.tempo,end,{**context.diagnostics,'construction':'thematic_recomposition' if mode=='thematic' else 'source_phrase_variations','policy':policy.describe()['fingerprint']},
tuple(types.MelodicPassagePlan(p.plan.passage_id,p.plan.start,p.plan.end,(p.plan.id,),seed) for p in phrases))) for cost,phrases in states)
def similarity(first,second):
"""Compare composition independently of octave and fingering; callbacks are explicit."""
def events(solo):
callbacks={e for p in solo.phrases if p.draft for f in p.draft.features if f.id.endswith(':callback') for e in f.events}
return tuple(n for p in solo.phrases if p.plan.relationship!='callback' for d in p.decisions for n in d.notes if n.event_id not in callbacks)
a,b=events(first),events(second)
def tokens(notes):
return {(n.start,n.end,n.pitch.number()%12) for n in notes}
left,right=tokens(a),tokens(b)
literal=len(left&right)/max(1,min(len(left),len(right)))
def runs(notes):
return {tuple((n.start-notes[i].start,n.end-n.start,n.pitch.number()-notes[i].pitch.number()) for n in notes[i:i+4]) for i in range(len(notes)-3)}
left,right=runs(a),runs(b)
interval=len(left&right)/max(1,min(len(left),len(right)))
return .65*literal+.35*interval
+52 -14
View File
@@ -19,25 +19,63 @@ def transition(previous, current, duration, tempo):
# Movement is a preference, not an unsupported claim about a player's limits.
return round(100 * distance / max(seconds, 0.05))
def hand_positions(position):
return tuple(h for h in range(1, 10) if h <= position.fret <= h + 3)
@functools.lru_cache(maxsize=512)
def position_rank(position):
from generator.solo.policy import stable_rank
return stable_rank('guitar-position', position)
def stable_path(path):
return tuple(position_rank(n.position) for n in path)
@functools.lru_cache(maxsize=4096)
def place(notes: tuple[generator.solo.types.Note, ...], tempo: fractions.Fraction, previous: generator.solo.types.Note | None = None) -> tuple[int, tuple[generator.solo.types.Note, ...]] | None:
states = [(0, ())]
def alternatives(notes, tempo, previous=None, limit=2):
"""Phrase paths with a four-fret hand region and distinct endpoint choices."""
states = [(0, (), h) for h in hand_positions(previous.position)] if previous and previous.position else [(0, (), None)]
for note in notes:
following = []
following = {}
for position in positions(note.pitch.number()):
current = dataclasses.replace(note, position=position)
candidates = []
for cost, path in states:
prior = path[-1] if path else previous
if note.continuation and (prior is None or prior.pitch != note.pitch or prior.position != position or prior.end != note.start):
continue
candidates.append((cost + (0 if note.continuation else travel(prior, current, tempo)), (*path, current)))
if candidates:
following.append(min(candidates, key=lambda item: (item[0], tuple(n.position for n in item[1]))))
for hand in hand_positions(position):
best = None
for cost, path, old_hand in states:
prior = path[-1] if path else previous
if note.continuation and (prior is None or prior.pitch != note.pitch or prior.position != position or prior.end != note.start):
continue
movement = 0
if prior and not note.continuation:
seconds = max(.05, float((note.start-prior.start)*60/tempo))
distance = abs(hand-old_hand) if old_hand is not None else 0
distance += .25*abs(position.fret-prior.position.fret) + .5*abs(position.string_number-prior.position.string_number)
movement = round(100*distance/seconds)
candidate = (cost+movement, (*path,current), hand)
if best is None or candidate[0] < best[0] or candidate[0] == best[0] and stable_path(candidate[1]) < stable_path(best[1]):
best = candidate
if best is not None:
following[position,hand] = best
if not following:
return None
states = following
return min(states, key=lambda item: (item[0], tuple(n.position for n in item[1])))
return ()
states = list(following.values())
# Endpoints survive so the following phrase can choose a better transition.
selected, seen = [], set()
for cost,path,hand in sorted(states,key=lambda v:(v[0],stable_path(v[1]))):
endpoint = path[-1].position if path else None
if endpoint in seen:
continue
seen.add(endpoint); selected.append((cost,path))
if len(selected) == limit:
break
return tuple(selected)
@functools.lru_cache(maxsize=4096)
def place(notes, tempo, previous=None):
result = alternatives(notes,tempo,previous,1)
return result[0] if result else None
@functools.lru_cache(maxsize=128)
def positions(number: int):
+8 -3
View File
@@ -33,9 +33,14 @@ class Policy:
occupancy_deadband: float = 0.1
lead_activity_range: tuple[float, float] = (1.0, 1.5)
lead_occupancy_range: tuple[float, float] = (0.85, 1.0)
lead_identities: int = 12
lead_realizations: int = 2
chromatic_max_per_eight_bars: int = 4
source_variations: int = 8
chorus_frontier: int = 8
theme_copy_threshold: float = 0.8
theme_copy_beats: float = 8.0
theme_copy_attacks: int = 4
theme_seed_limit: int = 8
theme_unit_alternatives: int = 8
composition_version: str = 'thematic-recomposition-1'
# Preserve the former default root seeds while decoupling them from policy edits.
SEED_NAMESPACE = 'a85abb240d7cfa9d054375b654bcb5c23c746201fd4aed7acf81cb3f4ee720e1'
+2 -3
View File
@@ -524,7 +524,7 @@ def checked_phrase(plan, draft, notes, contracts, incoming, harmony, tempo, edit
return None
features = evaluation.features(score_notes, previous=incoming.last if not shared else None, movement=travel + (incoming.travel if shared else 0))
features.update(generator.solo.drafts.relationship_features(draft, notes))
if draft.lead_identity:
if draft.lead_identity or draft.source_phrase:
supported = {e for feature in draft.features for e in feature.events}
motions = [(a, b) for a, b in zip(notes, notes[1:]) if not (a.event_id in supported and b.event_id in supported)]
features['contour'] = sum(min(1, max(0, abs(b.pitch.number() - a.pitch.number()) - 5) / 12) for a, b in motions) / max(1, len(motions))
@@ -861,8 +861,7 @@ def revise_pair(first, second, incoming, choices, sequences, tempo, context):
def alternatives(plan, measures, choices, sequences, rhythms, tempo, previous=None, context=None):
context = context if context is not None else SearchContext()
if plan.treatment == 'lead':
from generator.solo import leads
return leads.alternatives(plan, measures, choices, sequences, tempo, previous, context)
raise ValueError('generic lead identities are retired; use composer.compose for source variations')
# Keep resources alive while identity-keyed cache entries exist. A later
# library cannot accidentally reuse the identity of a collected object.
context.resources[id(sequences)] = sequences
+14 -4
View File
@@ -93,14 +93,24 @@ def identifying_features(notes, source):
def feature_error(feature, notes):
by_id = {n.event_id: n for n in notes}
actual = [by_id.get(identity) for identity in feature.events]
if not all(actual):
if not actual or not all(actual):
return 1.0
first = actual[0].start
rhythm = tuple((n.start - first, n.end - n.start) for n in actual)
movement = tuple(b.pitch.number() - a.pitch.number() for a, b in zip(actual, actual[1:]))
timing = sum(a != b for a, b in zip(rhythm, feature.rhythm)) / max(1, len(rhythm))
contour = sum(((a > 0) - (a < 0)) != ((b > 0) - (b < 0)) or abs(a - b) > 2 for a, b in zip(movement, feature.intervals)) / max(1, len(movement))
return (timing + contour) / 2
errors = []
if 'rhythm' in feature.preserves:
errors.append(1.0 if len(rhythm) != len(feature.rhythm) else sum(a != b for a,b in zip(rhythm,feature.rhythm))/max(1,len(rhythm)))
if 'intervals' in feature.preserves or 'contour' in feature.preserves:
if len(movement) != len(feature.intervals) or not movement and feature.intervals:
errors.append(1.0)
else:
errors.append(sum(((a>0)-(a<0)) != ((b>0)-(b<0)) or 'intervals' in feature.preserves and abs(a-b)>2 for a,b in zip(movement,feature.intervals))/max(1,len(movement)))
if 'exact_intervals' in feature.preserves:
errors.append(float(movement != feature.intervals))
if 'pitches' in feature.preserves:
errors.append(float(tuple(n.pitch.number() for n in actual) != feature.pitches))
return max(errors,default=0.0)
def relationship(notes, reference):
"""One joint relationship cost: timed movement, not absolute-pitch copying."""
+36 -4
View File
@@ -12,6 +12,8 @@ import generator.scales.timeline
import generator.solo.types
import generator.solo.harmonic
import generator.solo.drafts
import generator.solo.similarity
import generator.solo.references
def describe(solo: generator.solo.types.Solo, scales, measure_offset=0, time_offset=0) -> str:
region = generator.scales.timeline.Solo(time_offset, time_offset + solo.end, solo.part.capitalize() + ' Solo')
@@ -27,12 +29,18 @@ def describe(solo: generator.solo.types.Solo, scales, measure_offset=0, time_off
plan = phrase.plan
lines.extend(('', f'{plan.id}: {plan.start}-{plan.end}; {plan.relationship}; motif {plan.motif.id}', f' Origin: {plan.motif.origin}; source events: ' + ', '.join(s for n in plan.motif.notes for s in n.sources)))
lines.append(f' Contract: {plan.treatment}; closure: {plan.closure}; ending: {plan.ending}; score: {phrase.score:.4f}; identity: {plan.seed}')
if plan.treatment == 'lead':
lines.append(' Lead range: 4–6 attacks per four beats across the passage; active occupancy 85–100%; local breaths and runs allowed.')
if plan.treatment in ('source_variation', 'thematic_recomposition'):
lines.append(' Activity preference: 4–6 attacks per four beats; source phrasing takes precedence. Occupancy is diagnostic, not a target.')
if phrase.draft:
draft = phrase.draft
lines.append(f' Complete draft {draft.id}: {draft.relationship}; home {draft.home.id if draft.home else "none"}; {len(draft.notes)} attacks; rests {draft.rests()}')
lines.append(f' Lead reference: {draft.reference}; selected features: ' + ', '.join(f.id for f in draft.features))
if draft.source_phrase:
lines.append(f' Source phrase {draft.source_phrase.id}; octave transfer {draft.octave_transfer:+}; source rests {draft.source_phrase.rests}; source-event links {draft.source_links}')
if draft.source_reference:
ref=draft.source_reference
lines.append(f' Source influence {ref.id}: {ref.treatment}; source {ref.source_id}, beats {ref.start}-{ref.end}. Later developments refer to solo theme {phrase.state.home.id}.')
lines.append(' Retained contracts: '+', '.join(f'{f.id}: {f.preserves}' for f in draft.features))
for route in phrase.routes:
lines.append(f' Complete route {route.id}: {route.notes[0].start}-{route.destination.start}; destination {route.destination.pitch.label()}; {route.relationship}; sources {route.sources}')
for transform in draft.transformations:
@@ -62,7 +70,7 @@ def describe(solo: generator.solo.types.Solo, scales, measure_offset=0, time_off
choice = next(c for c in solo.choices if c.span.start <= note.start < c.span.end)
root = generator.scales.selection.root_number(choice.span.chord)
degrees = [str(d) for d, a in generator.harmony.degrees(choice.span.chord).items() if (root + generator.harmony.degree_semitones(d, a)) % 12 == note.pitch.number() % 12]
function = 'chord degree ' + '/'.join(degrees) if degrees else 'chromatic approach' if note.role == 'chromatic_approach' else 'in-collection connection'
function = 'chord degree ' + '/'.join(degrees) if degrees else 'in-collection connection'
lines.append(f' {note.start}-{note.end}: {note.pitch.label()}; {note.role}; {generator.harmony.symbol(choice.span.chord)}, {function}; {choice.scale.label()}; string {note.position.string_number}, fret {note.position.fret}')
lines.append('\nSounding harmonic spans (ties merged before classification):')
for event in detail['harmonic_roles']:
@@ -99,6 +107,30 @@ def structure(solo):
entry.update({'draft': rational(dataclasses.asdict(phrase.draft)), 'draft_rests': rational(phrase.draft.rests()), 'edits': rational([dataclasses.asdict(e) for e in phrase.edits]), 'relationships': generator.solo.drafts.relationship_features(phrase.draft, tuple(n for d in phrase.decisions for n in d.notes)), 'home': phrase.state.home.id if phrase.state and phrase.state.home else None, 'current_development': phrase.state.development.id if phrase.state and phrase.state.development else None})
entry['lead_stages'] = {name: {'id': draft.id, 'attacks': len(draft.notes), 'notes': rational([dataclasses.asdict(n) for n in draft.notes])} for name, draft in (('initial', phrase.initial), ('refined', phrase.refined)) if draft}
entry['complete_routes'] = rational([dataclasses.asdict(r) for r in phrase.routes])
if phrase.initial and phrase.refined:
entry['head_comparison_plain']=generator.solo.similarity.compare(phrase.refined.notes,phrase.initial.notes)
entry['head_comparison_elaborated']=generator.solo.similarity.compare(tuple(n for d in phrase.decisions for n in d.notes),phrase.initial.notes)
if phrase.state and phrase.state.home:
entry['theme_relationship']=generator.solo.references.relationship(phrase.refined.notes,phrase.state.home)
entry['score'] = phrase.score
phrases.append(entry)
return {'passages': [{'id': p.id, 'start': str(p.start), 'end': str(p.end), 'phrases': list(p.phrase_ids), 'seed': p.seed} for p in solo.passages], 'phrases': phrases, 'harmonic_roles': harmony.describe(solo.notes(), contracts), 'harmonic_exposure': checked.exposure, 'harmonic_valid': checked.valid, 'harmonic_error': checked.error, 'unresolved_treatments': rational([dataclasses.asdict(t) for t in checked.pending]), 'treatments': rational([dataclasses.asdict(t) for t in contracts])}
return {'source_comparison': {stage:generator.solo.similarity.compare(tuple(n for p in solo.phrases for n in (p.refined.notes if stage=='plain' and p.refined else tuple(n for d in p.decisions for n in d.notes))),tuple(n for p in solo.phrases if p.initial for n in p.initial.notes)) for stage in ('plain','elaborated')}, 'fretboard': fretboard_report(solo), 'passages': [{'id': p.id, 'start': str(p.start), 'end': str(p.end), 'phrases': list(p.phrase_ids), 'seed': p.seed} for p in solo.passages], 'phrases': phrases, 'harmonic_roles': harmony.describe(solo.notes(), contracts), 'harmonic_exposure': checked.exposure, 'harmonic_valid': checked.valid, 'harmonic_error': checked.error, 'unresolved_treatments': rational([dataclasses.asdict(t) for t in checked.pending]), 'treatments': rational([dataclasses.asdict(t) for t in contracts])}
def fretboard_report(solo):
import collections
import generator.fretboard
notes=solo.notes()
attacks=collections.Counter(); durations=collections.Counter(); forced=optional=0
for note in notes:
string=note.position.string_number
attacks[string]+=1;durations[string]+=float(note.end-note.start)
if string==1:
if len(generator.fretboard.single_positions_for_pitch(fractions.Fraction(note.pitch.number())))==1:forced+=1
else:optional+=1
total=sum(durations.values())
return {'attacks_by_string':dict(sorted(attacks.items())),
'duration_fraction_by_string':{s:d/max(.001,total) for s,d in sorted(durations.items())},
'first_string_forced':forced,'first_string_optional':optional,
'range_midi': [min(n.pitch.number() for n in notes),max(n.pitch.number() for n in notes)] if notes else [],
'cross_bar_sounding_events':sum(any(n.start < t < n.end for t in {c.span.start for c in solo.choices if c.span.beat == 1}) for n in notes)}
+16 -3
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@@ -5,6 +5,7 @@ import dataclasses
import fractions
import generator.fretboard
import generator.solo.placement
import generator.solo.policy
import generator.solo.sequences
import generator.solo.types as types
@@ -25,12 +26,24 @@ def advance(scale, previous, step):
return tuple(outgoing[abs(step) - 1:abs(step)])
def candidates(notes, fixed, harmony, library, register, relationship='connect theme'):
# Cache concrete routes only with their endpoints, timing, scale context and
# vocabulary. The per-Harmony cache cannot leak across collection changes.
if not hasattr(harmony,'route_cache'):
harmony.route_cache={}
harmony.route_libraries={}
harmony.route_libraries[id(library)]=library
key=(notes,frozenset(fixed),id(library),register)
if key not in harmony.route_cache:
harmony.route_cache[key]=_candidates(notes,fixed,harmony,library,register)
return tuple(dataclasses.replace(r,relationship=relationship) for r in harmony.route_cache[key])
def _candidates(notes, fixed, harmony, library, register):
"""Every returned candidate includes its entry, complete rhythm and destination.
Callers validate the whole surrounding sounding context and guitar path.
This function applies exact scale paths, fixed events and range constraints.
"""
if not 3 <= len(notes) <= 16:
if not 2 <= len(notes) <= 16:
return ()
first, destination = notes[0], notes[-1]
span = harmony.at(first.start)
@@ -62,14 +75,14 @@ def candidates(notes, fixed, harmony, library, register, relationship='connect t
break
if (template.event_id in fixed or template is destination) and pitch.number() != template.pitch.number():
break
if not generator.fretboard.single_positions_for_pitch(fractions.Fraction(pitch.number())):
if not generator.solo.placement.positions(pitch.number()):
break
realized.append(dataclasses.replace(template, pitch=template.pitch if pitch.number() == template.pitch.number() else pitch, position=None))
if len(realized) != len(notes):
continue
route_spans = tuple((max(first.start, c.span.start), min(destination.end, c.span.end), c.scale.label()) for c in harmony.choices if c.scale and c.span.start < destination.end and c.span.end > first.start)
identity = generator.solo.policy.stable_rank('complete-route', (tuple(realized), path.sources))[:16]
result.append(types.RouteCandidate(identity, tuple(realized), destination, route_spans, relationship, path.sources))
result.append(types.RouteCandidate(identity, tuple(realized), destination, route_spans, 'connect theme', path.sources))
return generator.solo.sequences.diverse(result,
lambda r: (sum(abs(b.pitch.number() - a.pitch.number()) for a, b in zip(r.notes, r.notes[1:])), r.id),
lambda r: generator.solo.sequences.family(tuple(b.pitch.number() - a.pitch.number() for a, b in zip(r.notes, r.notes[1:]))),
+3 -1
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@@ -81,7 +81,7 @@ class Evaluation:
deviation = max(0, abs(attacks - expected) - max(tolerance, generator.solo.policy.DEFAULT.activity_deadband * length / self.duration))
activity += length * min(1, deviation / max(1, expected))
occupancy += length * max(0, abs(occupied / length - occupied_goal) - generator.solo.policy.DEFAULT.occupancy_deadband)
if self.plan.treatment == 'lead':
if self.plan.treatment in ('lead', 'source_variation', 'thematic_recomposition'):
# One broad range over the complete thought; quiet bars are not failed
# local quotas. Missing harmony and explicit release are excluded here.
active = tuple(window for window in self.windows if window[4] > 0)
@@ -92,6 +92,8 @@ class Evaluation:
activity = length * corridor(attacks / max(length, .001), low, high) / high
low, high = generator.solo.policy.DEFAULT.lead_occupancy_range
occupancy = length * corridor(occupied / max(length, .001), low, high)
if self.plan.treatment in ('source_variation', 'thematic_recomposition'):
occupancy = 0.0 # Space belongs to the source and its explicit edits.
start, end = float(self.plan.start), float(self.until)
durations = [max(0, min(b, end) - max(a, start)) for a, b, _ in sounded]
register = sum(length * min(1, corridor(pitch, *self.plan.register) / 12) for (_, _, pitch), length in zip(sounded, durations)) / max(sum(durations), 0.001)
+92
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@@ -0,0 +1,92 @@
"""Duration-aware comparisons of realized music, independent of event labels."""
from __future__ import annotations
import functools
from generator.solo import types, policy
def events(notes):
return tuple((float(n.start),float(n.end),n.pitch.number()) for n in types.sounding_notes(notes))
def occupancy(left, right, modulo=False):
"""Intersection of pitch functions; repeated attacks cannot dilute a hold."""
i=j=0; total=0.
while i<len(left) and j<len(right):
a,b=left[i],right[j]
same = a[2]%12==b[2]%12 if modulo else a[2]==b[2]
if same:
total+=max(0.,min(a[1],b[1])-max(a[0],b[0]))
if a[1]<=b[1]:i+=1
else:j+=1
return total
def interval_match(left, right):
"""Longest exact interval/rhythm fragment, allowing relocation/transposition."""
def tokens(notes):
return tuple((b[0]-a[0],a[1]-a[0],b[2]-a[2]) for a,b in zip(notes,notes[1:]))
a,b=tokens(left),tokens(right); previous={}; best=(0.,0)
for i,x in enumerate(a):
current={}
for j,y in enumerate(b):
if x!=y:continue
count=previous.get(j-1,0)+1
current[j]=count
# The last note's duration also belongs to the matching fragment.
tail=min(left[i+1][1]-left[i+1][0],right[j+1][1]-right[j+1][0])
duration=left[i+1][0]+tail-left[i+1-count][0]
best=max(best,(duration,count+1))
previous=current
return best
@functools.lru_cache(maxsize=8192)
def compare_events(candidate, source):
denominator=sum(b-a for a,b,_ in source)
if not denominator:
return dict(pitch_time=0.,octave_insensitive=0.,attack_agreement=0.,arrival_agreement=0.,
interval_rhythm_coverage=0.,longest_fragment_beats=0.,longest_fragment_attacks=0)
length,count=interval_match(candidate,source)
attacks={(a,b,p%12) for a,b,p in candidate}
arrivals=[n for n in source if n[1]-n[0]>=2]
return dict(pitch_time=occupancy(candidate,source)/denominator,
octave_insensitive=occupancy(candidate,source,True)/denominator,
attack_agreement=sum((a,b,p%12) in attacks for a,b,p in source)/max(1,len(source)),
arrival_agreement=sum((a,b,p%12) in attacks for a,b,p in arrivals)/max(1,len(arrivals)),
interval_rhythm_coverage=min(1.,length/denominator),longest_fragment_beats=length,longest_fragment_attacks=count)
def compare(candidate, source):
return compare_events(events(candidate),events(source))
@functools.lru_cache(maxsize=8192)
def copy_evidence(candidate, source, start, end):
"""Scan source-aligned windows, without an added-event denominator advantage."""
minimum=policy.DEFAULT.theme_copy_beats
threshold=policy.DEFAULT.theme_copy_threshold
fragment,count=interval_match(candidate,source)
copied=fragment>=minimum and count>=policy.DEFAULT.theme_copy_attacks
best=0.; best_offset=0.
if end-start>=minimum and candidate:
windows=sorted({start,*(a for a,_,_ in candidate if start<=a<=end-minimum)})
for left in windows:
right=min(end,left+minimum)
offsets={a[0]-b[0] for a in candidate if left<=a[0]<left+2 for b in source}
for offset in sorted(offsets):
window=tuple((max(left,a+offset),min(right,b+offset),p) for a,b,p in source if a+offset<right and b+offset>left)
count_in=sum(left<=a+offset<right for a,_,_ in source)
duration=sum(b-a for a,b,_ in window)
if count_in<policy.DEFAULT.theme_copy_attacks or duration<minimum/2:
continue
score=occupancy(candidate,window,True)/duration
if score>best:best,best_offset=score,offset
if score>=threshold:copied=True
return {'near_copy':copied,'aligned_occupancy':best,'alignment_offset':best_offset,
'longest_fragment_beats':fragment,'longest_fragment_attacks':count}
def near_copy(notes, source, start, end):
return copy_evidence(events(notes),events(source),float(start),float(end))
+395
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@@ -0,0 +1,395 @@
"""Thematic transformations used by the existing complete-draft composer.
Source features initialize a heard theme. Subsequent complete routes develop
that realization, conditioned on the actual incoming musical state.
"""
from __future__ import annotations
import dataclasses
from fractions import Fraction as F
import generator.model
import generator.harmony
from generator.solo import types, policy, sequences, routes, references, similarity
def source_notes(analysis):
return tuple(dataclasses.replace(n,start=max(F(),n.start-analysis.body_offset),end=n.end-analysis.body_offset,
event_id=n.sources[0],position=None) for n in analysis.melody if n.end>analysis.body_offset)
def windows(analysis, measures, end, harmony):
"""Existing phrase representation; source extraction seams do not close it."""
bounds=[F()]
for measure in measures:bounds.append(bounds[-1]+generator.model.fraction(measure['duration']))
melody=source_notes(analysis); result=[]; index=0
while bounds[index]<end:
stop=min(index+4,len(measures))
# Permit an extension through a cadence rather than closing on its dominant.
last=harmony.at(min(end,bounds[stop])-F(1,100))
if last and last.chord!='N.C.' and generator.harmony.degrees(generator.harmony.parse_symbol(last.chord)).get(7)==-1 and generator.harmony.degrees(generator.harmony.parse_symbol(last.chord)).get(3)==0:
for size in (6,8):
candidate=min(index+size,len(measures)); span=harmony.at(min(end,bounds[candidate])-F(1,100))
if span and span.chord!='N.C.' and generator.harmony.degrees(generator.harmony.parse_symbol(span.chord)).get(3)==-1:
stop=candidate;break
start,finish=bounds[index],min(end,bounds[stop])
notes=tuple(dataclasses.replace(n,start=max(start,n.start),end=min(finish,n.end),continuation=n.start<start)
for n in melody if n.start<finish and n.end>start)
result.append(types.SourcePhrase(f'theme_window_{start}_{finish}',start,finish,notes,(),''))
index=stop
# Explicit missing harmony interrupts sounding material, not thematic memory.
divided=[]
for window in result:
cuts=sorted({window.start,window.end,*(max(window.start,s.start) for s in harmony.spans if not s.scale and s.start<window.end and s.end>window.start),*(min(window.end,s.end) for s in harmony.spans if not s.scale and s.start<window.end and s.end>window.start)})
for start,finish in zip(cuts,cuts[1:]):
notes=tuple(dataclasses.replace(n,start=max(start,n.start),end=min(finish,n.end),continuation=n.start<start) for n in window.notes if n.start<finish and n.end>start)
divided.append(dataclasses.replace(window,id=f'theme_window_{start}_{finish}',start=start,end=finish,notes=notes))
return tuple(divided)
def silence(source,incoming,part,harmony,tempo,seed):
from generator.solo import realization
motif=types.Motif('intentional_space',(),source.end-source.start,(),'explicit missing harmony')
plan=types.PhrasePlan(part+'_'+source.id,source.start,source.end,motif,'space','thematic_recomposition',None,(41,76),F(),F(),
(types.ActivitySpan(source.start,source.end,'space',F(),F()),),passage_id=source.id,passage_start=source.start,passage_end=source.end)
draft=types.MelodicDraft(plan.id,source.start,source.end,(),(),(),(),(),incoming.home,'space',source_phrase=source,source_reference=incoming.source_reference)
phrase=realization.checked_phrase(plan,draft,(),incoming.treatments,incoming,harmony,tempo)
if phrase is None:return ()
state=dataclasses.replace(phrase.state,home=incoming.home,source_reference=incoming.source_reference,callbacks=incoming.callbacks)
original=dataclasses.replace(draft,notes=source.notes)
return (dataclasses.replace(phrase,state=state,initial=original,refined=draft,score=0.),)
def short_fragment(source,incoming,part,harmony,tempo,seed,final):
"""An explicitly reduced pickup around missing harmony; not a new theme."""
from generator.solo import leads,realization
reference=incoming.home.notes if incoming.home else source.notes
if not reference:return ()
template=dataclasses.replace(reference[0],start=source.start,end=source.end,position=None,continuation=False,event_id=source.id+':reduction')
result=[]
for pitch in pitches(harmony,template,incoming.last.pitch.number() if incoming.last else template.pitch.number(),members=True):
note=dataclasses.replace(template,pitch=pitch)
motif=types.Motif('reduction',reference,source.end-source.start,(),'explicit short fragment; no claim of full motif fidelity')
anchor=types.Anchor(note.event_id+':arrival',note.start,note.start,pitch,harmony.members(note.start,note.end),(41,76),note.end-note.start,'terminal' if final else 'intermediate',harmony.at(note.start).chord,hold_until=note.end)
transform=types.Transformation(note.event_id,reference[0].event_id,incoming.home.id if incoming.home else '', 'fragment',note.start,note.end,(note.event_id,),((F(),note.end-note.start),),preserves=())
draft=types.MelodicDraft(part+'_'+note.event_id,source.start,source.end,(note,),(transform,),(note.event_id,),(),(anchor,),incoming.home,'fragment',source_phrase=source,source_reference=incoming.source_reference)
plan=types.PhrasePlan(draft.id,source.start,source.end,motif,'fragment','thematic_recomposition',None,(41,76),F(5,4),F(),ending='sustain' if final else 'connected',closure='closed' if final else 'open',passage_id=source.id,passage_start=source.start,passage_end=source.end)
phrase=realization.checked_phrase(plan,draft,(note,),incoming.treatments,incoming,harmony,tempo)
if phrase:
state=dataclasses.replace(phrase.state,home=incoming.home,source_reference=incoming.source_reference,callbacks=incoming.callbacks)
result.append(dataclasses.replace(phrase,state=state,initial=draft,refined=draft))
return tuple(result)
def seeds(analysis, bar, seed):
melody=tuple(dataclasses.replace(n,start=n.start-analysis.body_offset,end=n.end-analysis.body_offset,
event_id=n.sources[0]) for n in analysis.melody)
groups=[]
for i in range(len(melody)):
for count in ((len(melody),) if len(melody)<3 else (3,4,5)):
group=melody[i:i+count]
if len(group)!=count or group[-1].end-group[0].start>max(bar,F(3)) or group[0].start>=8*bar:
continue
local=tuple(dataclasses.replace(n,start=n.start-group[0].start,end=n.end-group[0].start) for n in group)
parent=next((s.id for s in analysis.source_phrases if s.start<=max(0,group[0].start)<s.end),'pickup')
for treatment in ('rhythmic_seed','contour_seed','opening_fragment','characteristic_interval'):
identity=policy.stable_rank(seed,(group,treatment))[:12]
groups.append(types.SourceReference(identity,parent,group[0].start,group[-1].end,local,treatment))
def rank(ref):
rhythm={(n.start,n.end-n.start) for n in ref.notes}
intervals={b.pitch.number()-a.pitch.number() for a,b in zip(ref.notes,ref.notes[1:])}
return (-len(intervals),-len(rhythm),ref.start,ref.id)
return sequences.diverse(groups,rank,lambda r:r.treatment,policy.DEFAULT.theme_seed_limit)
def feature(reference, actual, *, treatment=None):
treatment=treatment or reference.treatment
required={'rhythmic_seed':('rhythm',),'contour_seed':('contour',),
'opening_fragment':('rhythm','pitches'),'characteristic_interval':('exact_intervals',),
'repeat_with_harmonic_adaptation':('rhythm','contour'),'answer':('contour',),
'extend':('rhythm','contour'),'fragment':('rhythm',),'callback':('rhythm','pitches')}[treatment]
original=reference.notes
origin=original[0].start
octave=12*round((actual[0].pitch.number()-original[0].pitch.number())/12)
return types.IdentifyingFeature(reference.id+':'+treatment,tuple(n.event_id for n in actual),
tuple((n.start-origin,n.end-n.start) for n in original),
tuple(b.pitch.number()-a.pitch.number() for a,b in zip(original,original[1:])),reference.id,required,
tuple(n.pitch.number()+octave for n in original))
def rhythm_windows(library,meter,length,context):
from generator.solo import drafts
key=('theme-rhythm',id(library),meter,length)
if key not in context.pools:
patterns={}
for identifier,pattern,total in drafts.catalog(library,meter):
if total<length:continue
for offset in sorted({F(),*(a for a,_ in pattern)}):
if offset+length>total or any(a<offset<b or a<offset+length<b for a,b in pattern):continue
selected=tuple((a-offset,b-offset) for a,b in pattern if offset<=a and b<=offset+length)
if selected and len(selected)<=16:patterns.setdefault(selected,identifier)
context.pools[key]=sequences.diverse(tuple(patterns.items()),
lambda x:(not .7*float(length)<=len(x[0])<=1.8*float(length),policy.stable_rank('rhythm-window',x[0])),
lambda x:(len(x[0]),x[0][0][0],any(a[1]!=b[0] for a,b in zip(x[0],x[0][1:]))),8)
return context.pools[key]
def patterns(ref, start, finish, rhythms, meter, context, *, home=None, operation='introduce', terminal=False):
length=finish-start; values={}
if home and operation=='repeat_with_harmonic_adaptation':
pattern=tuple((n.start,n.end) for n in home.notes if n.end<=length)
if pattern:values[pattern]='heard-theme'
prefix=tuple((n.start,n.end) for n in ref.notes)
if ref.treatment in ('rhythmic_seed','opening_fragment','callback') or operation in ('extend','fragment','repeat_with_harmonic_adaptation'):
duration=prefix[-1][1]
if duration==length:values[prefix]=ref.id
if duration<length:
for tail,label in rhythm_windows(rhythms,meter,length-duration,context):
values[(*prefix,*((a+duration,b+duration) for a,b in tail))]=ref.id+' + '+label
else:
values.update(rhythm_windows(rhythms,meter,length,context))
if home and operation=='answer':
for p,label in rhythm_windows(rhythms,meter,length,context):values.setdefault(p,label)
if terminal:
for original,label in tuple(values.items()):
for hold in (F(1,2),F(1),F(3,2),F(2)):
for release in (F(),F(1,2)):
arrival=length-hold-release
head=tuple((a,min(b,arrival)) for a,b in original if a<arrival)
if len(head)>=len(ref.notes):values[(*head,(arrival,length-release))]=label+f'; arrival {hold}, release {release}'
return sequences.diverse(tuple(values.items()),lambda x:(max(0,len(x[0])-1.5*float(length),float(length)-len(x[0])),policy.stable_rank(ref.id,x[0])),
lambda x:(len(x[0]),x[0][-1][1]-x[0][-1][0],x[0][0][0]),4)
def pitches(harmony,note,base,*,members=False,limit=6):
from generator.solo.leads import available
domain=available(harmony,note.start,note.end,members=members or note.end-note.start>=2)
return sequences.diverse(domain,lambda p:(abs(p.number()-base),p.number()),
lambda p:((p.number()-base>0)-(p.number()-base<0),p.number()//12),limit)
def relative_steps(notes,harmony):
result=[]
for a,b in zip(notes,notes[1:]):
scale=harmony.at(b.start).scale
try:step=types.scale_index(scale,b.pitch.number())-types.scale_index(scale,a.pitch.number())
except ValueError:
lo,hi=sorted((a.pitch.number(),b.pitch.number()))
intervening=range(lo+1,hi+1) if b.pitch.number()>a.pitch.number() else range(lo,hi)
count=sum(p%12 in scale.pitches for p in intervening)
step=count if b.pitch.number()>a.pitch.number() else -count
result.append(step)
return tuple(result)
def instantiate(templates,first,steps,harmony):
result=[dataclasses.replace(templates[0],pitch=first)]
for note,step in zip(templates[1:],steps):
span=harmony.at(note.start)
if not span or not span.scale:return ()
options=routes.advance(span.scale,result[-1].pitch.number(),step)
if not options:return ()
p=options[0]
if not 41<=p.number()<=76 or p.number()%12 not in types.permitted(harmony.choices,note.start,note.end):return ()
result.append(dataclasses.replace(note,pitch=p))
return tuple(result) if len(result)==len(templates) else ()
def prefix_paths(templates,ref,first,harmony,library):
count=len(ref.notes); original=ref.notes
if count==1:return ((dataclasses.replace(templates[0],pitch=first),),)
if ref.treatment in ('opening_fragment','characteristic_interval','callback'):
delta=first.number()-original[0].pitch.number()
if ref.treatment in ('opening_fragment','callback') and delta%12:return ()
result=[]
from generator.solo.leads import available
for template,n in zip(templates,original):
target=n.pitch.number()+delta
p=next((p for p in available(harmony,template.start,template.end,members=template.end-template.start>=2) if p.number()==target),None)
if p is None:return ()
result.append(dataclasses.replace(template,pitch=p))
return (tuple(result),)
paths=[]
end_template=templates[count-1]
source_motion=original[-1].pitch.number()-original[0].pitch.number()
for target in pitches(harmony,end_template,first.number()+source_motion,limit=4):
template=tuple(dataclasses.replace(n,pitch=first if i==0 else target) for i,n in enumerate(templates[:count]))
paths.extend(r.notes for r in routes.candidates(template,{template[-1].event_id},harmony,library,(41,76),'seed '+ref.id))
valid=[p for p in paths if not references.feature_error(feature(ref,p),p)]
return sequences.diverse(valid,lambda ns:(sum(abs(b.pitch.number()-a.pitch.number()) for a,b in zip(ns,ns[1:])),tuple(n.pitch for n in ns)),
lambda ns:sequences.family(tuple(b.pitch.number()-a.pitch.number() for a,b in zip(ns,ns[1:]))),4)
@dataclasses.dataclass(frozen=True)
class Unit:
notes: tuple[types.Note,...]
feature: types.IdentifyingFeature
reference: types.SourceReference
operation: str
anchor: types.Anchor
score: float
source: str
routes: tuple[types.RouteCandidate,...] = ()
def unit_candidates(ref,start,finish,incoming,harmony,library,rhythms,meter,context,*,home=None,operation='introduce',terminal=False,batch=0):
# Position and the recent realization participate even when two paths share a last pitch.
if not hasattr(harmony,'fingerprint'):harmony.fingerprint=policy.stable_rank('harmony',harmony.choices)
key=('theme-unit',ref,start,finish,incoming.last,incoming.direction,incoming.treatments,home,operation,terminal,batch,harmony.fingerprint,id(library),id(rhythms),policy.DEFAULT)
if key in context.results:
context.diagnostics['cache_hits']+=1;return context.results[key]
result=[]; count=len(ref.notes)
for pattern,label in patterns(ref,start,finish,rhythms,meter,context,home=home,operation=operation,terminal=terminal):
if len(pattern)<count:continue
templates=tuple(types.Note(start+a,start+b,ref.notes[0].pitch,tuple(s for n in ref.notes for s in n.sources),
'theme',event_id=f'{ref.id}:{start}:{i}') for i,(a,b) in enumerate(pattern))
base=incoming.last.pitch.number() if incoming.last else ref.notes[0].pitch.number()
firsts=pitches(harmony,templates[0],base,limit=6 if batch else 3)
for first in firsts:
proposed=[]
if home and operation=='repeat_with_harmonic_adaptation' and len(templates)==len(home.notes):
heard=instantiate(templates,first,home.degree_steps,harmony)
if heard:proposed.append((heard,()))
for prefix in prefix_paths(templates,ref,first,harmony,library):
if len(prefix)==len(templates):
proposed.append((prefix,()));continue
base=prefix[-1].pitch.number()
for target in pitches(harmony,templates[-1],base,members=True,limit=4 if batch else 2):
tail=(prefix[-1],*templates[count:])
tail=(*tail[:-1],dataclasses.replace(tail[-1],pitch=target))
for route in routes.candidates(tail,{tail[-1].event_id},harmony,library,(41,76),operation+' '+ref.id):
proposed.append(((*prefix[:-1],*route.notes),(route,)))
for actual,connections in proposed:
core=actual[:count]; contract=feature(ref,core,treatment=operation if operation!='introduce' else None)
if references.feature_error(contract,actual):continue
last=actual[-1]
if last.pitch.number()%12 not in harmony.members(last.start,last.end):continue
checked=harmony.evaluate(actual,until=finish,complete=True)
if not checked.valid:continue
density=len(actual)*4/float(finish-start)
entry=max(0,abs(first.number()-incoming.last.pitch.number())-5)/12 if incoming.last else 0.
leaps=sum(max(0,abs(b.pitch.number()-a.pitch.number())-5)/12 for a,b in zip(actual,actual[1:]))/max(1,len(actual)-1)
# A repeat preserves the full heard idea. Answers and extensions
# preserve their declared fragment, not every event of the old ending.
development=references.relationship(actual,home) if home and operation=='repeat_with_harmonic_adaptation' else 0.
score=2*checked.exposure+entry+leaps+development+.35*max(0,4-density,density-6)
anchor=types.Anchor(last.event_id+':arrival',last.start,last.start,last.pitch,harmony.members(last.start,last.end),(41,76),
last.end-last.start,'terminal' if terminal else 'intermediate',harmony.at(last.start).chord,hold_until=last.end)
result.append(Unit(actual,contract,ref,operation,anchor,score,label,connections))
unique={tuple((n.start,n.end,n.pitch) for n in u.notes):u for u in result}
selected=sequences.diverse(tuple(unique.values()),lambda u:(u.score,policy.stable_rank(ref.id,u.notes)),
lambda u:(u.notes[0].pitch.number()//12,u.notes[-1].pitch.number()%12,tuple(n.end-n.start for n in u.notes[:count])),8)
context.diagnostics['generated_candidates']+=len(selected)
context.results[key]=selected
return selected
def home_reference(home,operation):
notes=home.notes[:min(4,len(home.notes))]
# A short characteristic beginning leaves room for a newly composed answer.
while len(notes)>3 and notes[-1].end>home.duration/2:notes=notes[:-1]
return types.SourceReference(home.id,home.parent,home.source_start,home.source_start+home.duration,notes,
'rhythmic_seed' if operation in ('repeat_with_harmonic_adaptation','extend','fragment') else 'contour_seed')
def make_home(unit,harmony,start=None,end=None):
from generator.solo.realization import make_identity
start=unit.notes[0].start if start is None else start
identity=policy.stable_rank('solo-theme',(unit.reference.id,unit.notes))[:16]
home=make_identity('solo_theme_'+identity,unit.reference.id,unit.notes,start,unit.notes[-1].end if end is None else end,'introduce',harmony)
return dataclasses.replace(home,degree_steps=relative_steps(unit.notes,harmony))
def phrase_candidates(source,analysis,incoming,part,harmony,library,rhythms,meter,tempo,context,seed,*,stage='elaborated',batch=0,final=False):
from generator.solo import leads,realization
if source.end-source.start<2:
return short_fragment(source,incoming,part,harmony,tempo,seed,final)
bar=F(meter.split('/')[0])*4/int(meter.split('/')[1])
unit_length=2*bar
head=source_notes(analysis)
seed_key=('source-seeds',analysis,bar,seed)
if seed_key not in context.pools:context.pools[seed_key]=seeds(analysis,bar,seed)
roots=context.pools[seed_key]
states=[(0.,(),incoming.home,incoming)]
cursor=source.start
while cursor<source.end:
finish=min(cursor+unit_length,source.end)
next_states=[]
for cost,units,home,state in states:
introducing=home is None
if introducing:
requests=[(r,'introduce') for r in roots]
else:
operations=('repeat_with_harmonic_adaptation',) if cursor==source.start and source.start<=4*bar else ('repeat_with_harmonic_adaptation','answer','extend')
requests=[(home_reference(home,op),op) for op in operations]
used=incoming.callbacks+sum(u.operation=='callback' for u in units)
if cursor>=8*bar and cursor==source.start and used<2:
requests.extend((dataclasses.replace(r,treatment='callback'),'callback') for r in roots[:2] if r.end-r.start<=bar)
for ref,operation in requests:
if ref.notes[-1].end>finish-cursor:
reduced=tuple(n for n in ref.notes if n.end<=finish-cursor)
if len(reduced)<2:continue
ref=dataclasses.replace(ref,notes=reduced,treatment='contour_seed')
operation='answer'
options=unit_candidates(ref,cursor,finish,state,harmony,library,rhythms,meter,context,home=home,operation=operation,
terminal=final and finish==source.end,batch=batch)
for unit in options:
if introducing and similarity.near_copy(unit.notes,head,cursor,finish)['near_copy']:
context.diagnostics['near_copy_rejections']=context.diagnostics.get('near_copy_rejections',0)+1;continue
actual_home=home or make_home(unit,harmony,cursor,finish)
following=dataclasses.replace(state,home=actual_home,last=unit.notes[-1],notes=unit.notes,source_reference=state.source_reference or ref)
next_states.append((cost+unit.score,(*units,unit),actual_home,following))
states=sequences.diverse(next_states,lambda v:(v[0],policy.stable_rank(seed,tuple(u.notes for u in v[1]))),
lambda v:(v[2].id,v[1][-1].notes[-1].pitch.number()),2 if incoming.home and finish<source.end else 8)
if not states:return ()
cursor=finish
result=[]
for cost,units,home,state in states:
plain=tuple(n for u in units for n in u.notes)
if similarity.near_copy(plain,head,source.start,source.end)['near_copy']:
context.diagnostics['near_copy_rejections']=context.diagnostics.get('near_copy_rejections',0)+1;continue
features=tuple(u.feature for u in units)
anchors=tuple(u.anchor for u in units)
options=[(plain,(),())]
if stage=='elaborated':
protected=(*features,types.IdentifyingFeature('destinations',tuple(n.event_id for n in plain if any(n.event_id+':arrival'==a.id for a in anchors)),(),(),'',()))
for actual,edit,route in leads.elaborate(plain,protected,harmony,library,rhythms,meter,source,sustain_entry=True):
options.append((actual,(edit,),(route,)))
for notes,edits,selected_routes in options:
identifier=part+'_'+source.id+'_'+policy.stable_rank(seed,leads.signature(notes))[:12]
transforms=tuple(types.Transformation(identifier+f':{i}',u.reference.id,home.id,u.operation,u.notes[0].start,u.notes[-1].end,
tuple(n.event_id for n in notes if u.notes[0].start<=n.start<u.notes[-1].end),tuple((n.start-u.notes[0].start,n.end-u.notes[0].start) for n in notes if u.notes[0].start<=n.start<u.notes[-1].end),preserves=(),source=u.reference.id+'; rhythm '+u.source) for i,u in enumerate(units))
source_ref=state.source_reference
draft=types.MelodicDraft(identifier,source.start,source.end,notes,transforms,
tuple(a.id.removesuffix(':arrival') for a in anchors),(),anchors,home,'introduce' if not incoming.home else 'develop',
features=features,reference=source_ref.id,reference_motif=home,source_phrase=source,source_reference=source_ref,
source_links=tuple((n.event_id,n.sources) for n in notes))
# One shared musical context crosses computational/source boundaries.
activity=[];cursor=source.start
for n in notes:
if n.start>cursor:activity.append(types.ActivitySpan(cursor,n.start,'space',F(),F()))
activity.append(types.ActivitySpan(n.start,n.end,'active',F(5,4),F()))
cursor=n.end
if cursor<source.end:activity.append(types.ActivitySpan(cursor,source.end,'space',F(),F()))
motif=types.Motif(home.id,home.notes,home.duration,(), 'realized solo theme from '+source_ref.id)
plan=types.PhrasePlan(identifier,source.start,source.end,motif,draft.relationship,'thematic_recomposition',None,(41,76),F(5,4),
source.end-notes[-1].end,tuple(activity),(), 'sustain' if final else 'connected','closed' if final else 'open',seed,
source.id,source.start,source.end,(anchors,))
phrase=realization.checked_phrase(plan,draft,notes,incoming.treatments,incoming,harmony,tempo,edits)
if phrase is None:continue
density=len(notes)*4/float(source.end-source.start)
score=cost/len(units)+.35*(max(0,4-density,density-6)-max(0,4-len(plain)*4/float(source.end-source.start),len(plain)*4/float(source.end-source.start)-6))
score+=.05*phrase.state.travel/max(1,len(notes))/2000
current=dataclasses.replace(phrase.state,home=home,source_reference=source_ref,callbacks=incoming.callbacks+sum(u.operation=='callback' for u in units))
# Store the actual introduced sound, including any legal elaboration.
if not incoming.home:
introduced=tuple(n for n in notes if n.start<units[0].notes[-1].end)
heard=dataclasses.replace(home,notes=tuple(dataclasses.replace(n,start=n.start-source.start,end=n.end-source.start,position=None) for n in introduced),
degree_steps=relative_steps(introduced,harmony))
current=dataclasses.replace(current,home=heard,themes=(heard,))
source_control=leads.shift(source.notes, next((o for o in (0,1,-1,2,-2) if all(41<=n.pitch.number()+12*o<=76 for n in source.notes)),0))
original=dataclasses.replace(draft,id=identifier+':source',notes=source_control,features=(),anchors=(),structural=())
refined=dataclasses.replace(draft,id=identifier+':plain',notes=plain)
result.append(dataclasses.replace(phrase,score=score,state=current,initial=original,refined=refined,routes=(*tuple(r for u in units for r in u.routes if all(any((n.event_id,n.start,n.end,n.pitch)==(a.event_id,a.start,a.end,a.pitch) for a in notes) for n in r.notes)),*selected_routes)))
return sequences.diverse(result,lambda p:(p.score,policy.stable_rank(seed,p.draft.id)),
lambda p:(p.state.home.id,p.state.last.pitch.number(),sum(e.kind=='complete_route' for e in p.edits)),8)
+28
View File
@@ -57,6 +57,16 @@ class Motif:
def contour(self) -> tuple[int, ...]:
return tuple(b.pitch.number() - a.pitch.number() for a, b in zip(self.notes, self.notes[1:]))
@dataclasses.dataclass(frozen=True)
class SourcePhrase:
id: str
start: fractions.Fraction
end: fractions.Fraction
notes: tuple[Note, ...]
rests: tuple[tuple[fractions.Fraction, fractions.Fraction], ...]
family: str
pickup: tuple[Note, ...] = ()
@dataclasses.dataclass(frozen=True)
class TargetEvent:
earliest: fractions.Fraction
@@ -125,6 +135,7 @@ class RealizedMotif:
treatment: str
chord_degrees: tuple[tuple[int, ...], ...] = ()
source_start: fractions.Fraction = fractions.Fraction()
degree_steps: tuple[int, ...] = ()
def contour(self):
return tuple(b.pitch.number() - a.pitch.number() for a, b in zip(self.notes, self.notes[1:]))
@@ -146,6 +157,8 @@ class ContinuationState:
selected_anchors: tuple[Anchor, ...] = ()
ending: str = ''
lead_identity: LeadIdentity | None = None
source_reference: SourceReference | None = None
callbacks: int = 0
@dataclasses.dataclass(frozen=True)
class Transformation:
@@ -177,6 +190,17 @@ class IdentifyingFeature:
rhythm: tuple[tuple[fractions.Fraction, fractions.Fraction], ...]
intervals: tuple[int, ...]
source: str
preserves: tuple[str, ...] = ('rhythm', 'intervals')
pitches: tuple[int, ...] = ()
@dataclasses.dataclass(frozen=True)
class SourceReference:
id: str
source_id: str
start: fractions.Fraction
end: fractions.Fraction
notes: tuple[Note, ...]
treatment: str
@dataclasses.dataclass(frozen=True)
class RouteCandidate:
@@ -205,6 +229,10 @@ class MelodicDraft:
reference_motif: Motif | RealizedMotif | None = None
lead_identity: LeadIdentity | None = None
correspondence: tuple[tuple[str, str], ...] = ()
source_phrase: SourcePhrase | None = None
octave_transfer: int = 0
source_links: tuple[tuple[str, tuple[str, ...]], ...] = ()
source_reference: SourceReference | None = None
def rests(self):
cursor, result = self.start, []
for note in self.notes: