Training Model

This commit is contained in:
khodowany
2026-10-05 19:44:33 -05:00
parent db7966a430
commit e7180e557b
6603 changed files with 8919 additions and 523063 deletions
+1 -1
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@@ -82,7 +82,7 @@ class Canonical:
+ .1 * guitar.compactness(v), stable_rank(self.seed, (index, start, v))))
self.previous = selected
patterns = []
for figure in vocabulary.data('rhythms')['comping']:
for figure in vocabulary.data('accompaniment')['comping']:
events = tuple((start+F(a), min(end, start+F(a)+F(d))) for a, d in figure['attacks'] if F(a) < duration)
# Space is available on held harmony, never an accidental empty winner.
if not events and (not prior or not accompaniment.same_chord(chord, prior) or start):