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418dcecd41
- The interim cue tables and their opt-outs are gone; the native runtime is the only audio path. Old
settings/audio.json files still load ("interim" / "native" ignored). Missing native data logs an error
instead of falling back.
- Water splash from retail's mechanism (SFXObj_OffBoard start / update): Skate_Collisions 1187 / 1197 once
per water stay, 1198 when the board is in water.
- The random interim riding bed is removed; riding collision and cloth sounds compared with the recomp
(doc 11). Native output otherwise byte-identical (13 scenarios + 5 sessions).
- Published tools under tools/ (one folder per tool with a README; the recomp ones labelled for use with the
research hooks), doc 14 and PR plan bucket L.
- Docs: doc 11 (retirement, bail density measured against the recomp, collision posts), doc 13 (usage guide).
33 lines
1.4 KiB
Python
33 lines
1.4 KiB
Python
"""Voice starts per second and summed gain of one bank in e2e renders, per (tag, seam pattern) of the
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scenario, for before/after comparisons (e.g. Class_Seams on a surface).
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usage: py -3.13 bank_rate.py BANK DIR NAME [DIR ...] (a voice start = a frame where the bank has more
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voices than in the frame before, counted by the increase)"""
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import collections
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import csv
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import sys
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if len(sys.argv) < 4 or sys.argv[1] in ('-h', '--help'):
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sys.exit(__doc__)
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bank, name, dirs = sys.argv[1], sys.argv[3], [sys.argv[2]] + sys.argv[4:]
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for d in dirs:
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rows = list(csv.DictReader(open(f'{d}/{name}.tsv'), delimiter='\t'))
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count = collections.Counter()
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gain = collections.defaultdict(float)
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for r in csv.reader(open(f'{d}/{name}.ours.voices.tsv'), delimiter='\t'):
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if r[0] != 'frame' and r[1] == bank:
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count[int(r[0])] += 1
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gain[int(r[0])] += float(r[3])
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agg = collections.defaultdict(lambda: [0, 0, 0.0])
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for f, r in enumerate(rows):
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if float(r['speed']) < 2 or r['state'] != '100':
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continue
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k = (r['tag'], r.get('seam0', '?'))
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a = agg[k]
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a[0] += 1
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a[1] += max(0, count[f] - count[f - 1]) if f else count[f]
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a[2] += gain[f]
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print(d)
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for k, (n, s, g) in sorted(agg.items(), key=lambda x: -x[1][0]):
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if n >= 30:
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print(f' tag {k[0]:>3} pattern {k[1]:>2}: {n / 60:5.1f} s starts {s / (n / 60):5.1f}/s mean summed gain {g / n:.4f}')
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