khodowany
211 lines
14 KiB
Python
211 lines
14 KiB
Python
"""Independent rhythm contracts, including real overlapping guitar voices."""
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import copy
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import dataclasses
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import fractions
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import pathlib
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import unittest
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import generator.accompaniment
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import generator.acoustic
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import generator.arrange.accompaniment
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import generator.comping
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import generator.comping_rhythm
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import generator.fretboard
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import generator.harmonic_time
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import generator.harmony
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import generator.model
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import generator.production
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import generator.score
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import generator.solo.analysis
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import generator.solo.decoder
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import generator.solo.harmonic
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import generator.solo.learned
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import generator.vocabulary
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import tests.solo_fixtures
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def sounding(document):
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return [(m['number'], v['id'], n['onset'], n['duration'], [(p['letter'], p['alter'], p['octave'], p['duration'], p['tablature'], bool(p.get('tie_from')), bool(p.get('tie_to'))) for p in n['pitches']]) for m in document['staves'][0]['measures'] for v in m['voices'] for n in v['notes'] if n['pitches']]
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class LayeredComping(unittest.TestCase):
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def setUp(self):
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self.source = tests.solo_fixtures.song(count=6, chords=('C7', 'C7', 'FM7', 'FM7', 'Dm7', 'G7'))
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self.resources = generator.vocabulary.load()
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def block(self, part, source=None, melody=()):
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source = source or self.source
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measures = source['staves'][0]['measures'][:2]
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inputs = tuple((m, prior, i) for i, (m, prior) in enumerate(zip(measures, generator.accompaniment.carried_chords(measures))))
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flat = generator.comping_rhythm.flatten(inputs)
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lengths = tuple(generator.model.fraction(m['duration']) for m in measures)
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return generator.comping_rhythm.candidates(flat, None, part, melody, 'test', lengths=lengths)
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def test_all_ten_families_are_reachable_and_roles_have_distinct_onsets(self):
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expected = {'charleston', 'shifted_charleston', 'forward_motion', 'anticipated_heavy_beats', 'syncopated_riff', 'quarters', 'dotted_spacing', 'shifting_motif', 'call_response', 'anticipated_four'}
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choices = {part: self.block(part) for part in ('acoustic', 'electric')}
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for part, candidates in choices.items():
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self.assertTrue(expected <= {dict(c.families)['pattern'] for c in candidates})
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for c in candidates:
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generator.comping_rhythm.validate_events(c.events, part)
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for start in (0, 4):
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self.assertLessEqual(sum(start <= e.start < start + 4 for e in c.events), 3 if part == 'acoustic' else 2)
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self.assertAlmostEqual(c.cost, sum(dict(c.contributions).values()))
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a = {tuple(e.start for e in c.events) for c in choices['acoustic']}
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e = {tuple(e.start for e in c.events) for c in choices['electric']}
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self.assertFalse(a & e)
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self.assertTrue(any(c.events[0].start > 0 for c in choices['acoustic']))
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self.assertTrue(any(c.events[0].lane == 'upper' for c in choices['acoustic']))
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self.assertTrue(any(e.end - e.start > 1 for c in choices['electric'] for e in c.events))
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def test_separate_short_attacks_and_only_synchronized_long_combinations(self):
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F = fractions.Fraction
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attack = generator.comping_rhythm.Attack
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generator.comping_rhythm.validate_events((attack('bass', F(0), F(1)), attack('upper', F(1), F(3, 2))), 'acoustic')
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generator.comping_rhythm.validate_events((attack('combined', F(0), F(3, 2)),), 'acoustic')
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for events in ((attack('combined', F(0), F(1)),), (attack('bass', F(0), F(1)), attack('upper', F(1, 2), F(1))), (attack('bass', F(0), F(2)),)):
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with self.assertRaises(ValueError):
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generator.comping_rhythm.validate_events(events, 'acoustic')
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def test_harmonic_changes_clip_direct_holds_without_extra_attacks(self):
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source = copy.deepcopy(self.source)
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for m in source['staves'][0]['measures'][:2]:
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m['harmonies'] = [{**generator.harmony.parse_symbol(s), 'id': str(i), 'onset': generator.model.rational(t)} for i, (s, t) in enumerate((('C7', 0), ('FM7', 1), ('G7', 2)))]
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for part in ('acoustic', 'electric'):
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for c in self.block(part, source):
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self.assertLessEqual(len(c.events), 6 if part == 'acoustic' else 4)
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for e in c.events:
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if e.harmonic_time is None:
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self.assertFalse(any(e.start < boundary < e.end for boundary in (1, 2, 4, 5, 6)))
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def test_anticipation_binds_exact_upcoming_chord_and_keeps_direct_alternative(self):
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source = tests.solo_fixtures.song(count=2, chords=('C7', 'FM7'))
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for part in ('acoustic', 'electric'):
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candidates = self.block(part, source)
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anticipated = [c for c in candidates if any(e.harmonic_time is not None for e in c.events)]
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self.assertTrue(anticipated)
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for c in anticipated:
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for e in c.events:
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if e.harmonic_time is not None:
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self.assertIn(e.lane, ('upper', 'electric'))
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self.assertEqual(e.harmonic_time - e.start, fractions.Fraction(1, 2))
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self.assertLess(e.harmonic_time, e.end)
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self.assertTrue(any(all(e.harmonic_time is None for e in c.events) for c in candidates))
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flat = generator.comping_rhythm.flatten(tuple((m, p, i) for i, (m, p) in enumerate(zip(source['staves'][0]['measures'], generator.accompaniment.carried_chords(source['staves'][0]['measures'])))))
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pattern = next(p for p in self.resources['accompaniment']['instruments']['electric']['patterns'] if p['id'] == 'electric.forward_motion.statement')
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events, _ = generator.comping_rhythm.fit(pattern, flat, None, 'electric', anticipate=True, limit=fractions.Fraction(4))
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self.assertTrue(all(e.harmonic_time is None for e in events))
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def test_no_chord_is_silent_and_partial_measure_is_bounded(self):
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m = copy.deepcopy(self.source['staves'][0]['measures'][0])
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m['harmonies'][0]['kind'] = 'none'
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self.assertTrue(all(not c.events for c in generator.comping_rhythm.candidates(m, None, 'acoustic', (), 'silence')))
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m['harmonies'][0] = {**generator.harmony.parse_symbol('C7'), 'id': 'chord', 'onset': generator.model.rational(0)}
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m['duration'] = generator.model.rational(fractions.Fraction(1, 2))
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self.assertTrue(all(0 <= e.start < e.end <= fractions.Fraction(1, 2) for c in generator.comping_rhythm.candidates(m, None, 'acoustic', (), 'pickup') for e in c.events))
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def test_two_other_meters_use_authored_patterns(self):
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for meter in (3, 5):
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source = tests.solo_fixtures.song(meter=meter, count=2, chords=('C7',))
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for part in ('acoustic', 'electric'):
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canonical = generator.comping.Canonical(source, part, 'meter')
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self.assertTrue(all(str(meter) + '_beat' in r.pattern_id for r in canonical.block_rhythms.values()))
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for rhythm in canonical.rhythms.values():
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self.assertTrue(all(0 <= e.start < e.end <= meter for e in rhythm.events))
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def test_melody_changes_the_objective_without_changing_seed(self):
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busy = tuple((fractions.Fraction(i), fractions.Fraction(i + 1)) for i in range(8))
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space = ((fractions.Fraction(), fractions.Fraction(1, 2)),)
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first = {c.pattern_id: dict(c.contributions) for c in self.block('electric', melody=busy)}
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second = {c.pattern_id: dict(c.contributions) for c in self.block('electric', melody=space)}
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common = first.keys() & second.keys()
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self.assertTrue(any(first[k]['melody_support'] != second[k]['melody_support'] for k in common))
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def test_tempo_changes_metadata_but_not_accompaniment_music(self):
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changed = copy.deepcopy(self.source)
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changed['metadata']['tempo'] = 240
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changed['staves'][0]['measures'][0]['tempos'] = [{'onset': generator.model.rational(0), 'bpm': generator.model.rational(240), 'written': {'type': 'quarter', 'dots': 0}}]
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a, b = map(generator.production.SourceAnalysis.read, (self.source, changed))
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self.assertEqual(a.accompaniment_key(), b.accompaniment_key())
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for role in ('acoustic_accompaniment', 'electric_accompaniment'):
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first = generator.production.generate_role(a, role, pathlib.Path('data'))
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second = generator.production.generate_role(b, role, pathlib.Path('data'))
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self.assertEqual(sounding(first['document']), sounding(second['document']))
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self.assertEqual(first['details'], second['details'])
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self.assertNotEqual(first['trace']['cache_key'], second['trace']['cache_key'])
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def test_assembly_keeps_overlaps_and_canonical_reuse(self):
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source = generator.production.SourceAnalysis.read(self.source)
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results = {role: generator.production.generate_role(source, role, pathlib.Path('data')) for role in generator.production.ROLES if not role.endswith('_solo')}
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# Silence in source-defined solo slots is sufficient to test union;
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# no generated solo participates in these accompaniment decisions.
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for part in ('acoustic', 'electric'):
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empty = copy.deepcopy(results[part + '_accompaniment'])
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for m in empty['document']['staves'][0]['measures']:
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for v in m['voices']:
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for n in v['notes']:
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n.update(kind='rest', pitches=[])
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results[part + '_solo'] = empty
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assembled = generator.production.assemble(source, results)
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self.assertTrue(all(len(m['voices']) == 1 for m in assembled['acoustic']['staves'][0]['measures']))
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audit = generator.arrange.accompaniment.audit(self.source, assembled)
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self.assertGreater(audit['acoustic']['reused_bars'], 0)
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for doc in assembled.values():
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generator.model.validate_document(doc)
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generator.fretboard.validate_document(doc)
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def test_combined_voices_reject_conflicting_strings_and_fret_spans(self):
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for string, fret in ((5, 3), (2, 10)):
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doc = tests.solo_fixtures.song(count=1, chords=('C',))
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staff = doc['staves'][0]
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staff['tablature'] = True
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m = staff['measures'][0]
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pitches = [{'letter': 'c', 'alter': 0, 'octave': 4, 'tablature': {'string': 5, 'fret': 3}}, {'letter': 'c', 'alter': 0, 'octave': 4, 'tablature': {'string': string, 'fret': fret}}]
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m['voices'] = [{'id': str(i), 'notes': [generator.model.make_event(str(i), fractions.Fraction(i), fractions.Fraction(2), 'note', [p])]} for i, p in enumerate(pitches)]
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with self.assertRaisesRegex(ValueError, 'overlapping guitar voices'):
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generator.fretboard.validate_document(doc)
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def test_explicit_cross_bar_hold_survives_projection_without_reattack(self):
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source = tests.solo_fixtures.song(count=2, chords=('C7',))
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for part, pattern_id in (('electric', 'electric.forward_motion.statement'), ('acoustic', 'acoustic.call_response.held_answer')):
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resources = copy.deepcopy(self.resources)
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patterns = resources['accompaniment']['instruments'][part]['patterns']
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resources['accompaniment']['instruments'][part]['patterns'] = [p for p in patterns if p['id'] == pattern_id]
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with generator.vocabulary.using(resources, part + '_accompaniment'):
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canonical = generator.comping.Canonical(source, part, 'held')
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measures = source['staves'][0]['measures']
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rendered = [canonical(m, p, i) for i, (m, p) in enumerate(zip(measures, generator.accompaniment.carried_chords(measures)))]
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a = [p for n in generator.score.measure_notes(rendered[0]) for p in n['pitches'] if p.get('tie_to')]
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b = {p['id']: p for n in generator.score.measure_notes(rendered[1]) for p in n['pitches']}
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cross = [p for p in a if p['tie_to'] in b]
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self.assertTrue(cross)
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for p in cross:
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self.assertEqual(p['tablature'], b[p['tie_to']]['tablature'])
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self.assertEqual(p['id'], b[p['tie_to']]['tie_from'])
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if part == 'acoustic':
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document = copy.deepcopy(source)
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document['staves'][0]['measures'] = rendered
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generator.acoustic.validate_comping(document)
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def test_separate_repeated_attacks_are_never_joined(self):
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source = tests.solo_fixtures.song(count=2, chords=('C7',))
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resources = copy.deepcopy(self.resources)
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resources['accompaniment']['instruments']['electric']['patterns'] = [{'id': 'test.repeated', 'family': 'quarters', 'lengths': ['4', '4'],
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'events': [{'onset': str(t), 'duration': '4', 'layer': 'electric'} for t in (0, 4)]}]
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with generator.vocabulary.using(resources, 'electric_accompaniment'):
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canonical = generator.comping.Canonical(source, 'electric', 'repeat')
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measures = source['staves'][0]['measures']
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rendered = [canonical(m, p, i) for i, (m, p) in enumerate(zip(measures, generator.accompaniment.carried_chords(measures)))]
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notes = [n for m in rendered for n in generator.score.measure_notes(m) if n['pitches']]
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self.assertEqual(len(notes), 2)
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self.assertTrue(all(not p.get('tie_from') and not p.get('tie_to') for n in notes for p in n['pitches']))
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class SoloRhythmConditioning(unittest.TestCase):
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def test_melody_rhythm_and_progression_change_learned_probabilities(self):
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examples = []
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for held, future, duration in ((False, 'FM7', 1), (True, 'FM7', 2), (False, 'Dm7', 3)):
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source = tests.solo_fixtures.song(count=2, chords=('C7', future))
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if held:
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m = source['staves'][0]['measures'][0]
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m['voices'][0]['notes'] = [generator.model.make_event('held', fractions.Fraction(), fractions.Fraction(4), 'note', [{'letter': 'c', 'alter': 0, 'octave': 4}])]
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analysis = generator.solo.analysis.analyze(source)
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harmony = generator.solo.harmonic.Harmony(generator.harmonic_time.read(source['staves'][0]))
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examples.append({'analysis': analysis, 'harmony': harmony, 'events': [(fractions.Fraction(), fractions.Fraction(duration), 64), (fractions.Fraction(duration), fractions.Fraction(4), 67)]})
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model = generator.solo.learned.Model(generator.solo.learned.fit(examples, {'purpose': 'independently authored conditional-rhythm test'}))
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probabilities = []
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for example in examples:
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decoder = generator.solo.decoder.Decoder(example['analysis'], example['harmony'], model, 'acoustic', fractions.Fraction(), fractions.Fraction(4), seed='fixed')
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harmonic, root, phase, source, _ = decoder.context(fractions.Fraction())
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context = generator.solo.learned.contexts(harmonic, phase, source, ())
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probabilities.append(model.probability(generator.solo.learned.token(fractions.Fraction(1), 64, None, root), context))
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self.assertGreater(probabilities[0], probabilities[1])
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self.assertGreater(probabilities[0], probabilities[2])
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if __name__ == '__main__':
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unittest.main()
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