sub_8230D1F8 -- the loader that contaminated the AA_/AV_ offset search -- is the stage-settings loader. Reading its 122 field NAMES instead of its offsets found the scoring block, which nothing in docs/re owned. 24 IDXD objects per language pack x 6 = 144, each holding Score_Easy / Score_Normal / Score_Hard: 72 records per pack on one 22-field schema, no variants. Difficulty moves 10 of the 22 fields and never the five RankScore_* thresholds -- the rank bar is per stage, difficulty scales the earning rate (x0.5 / x1.0 / x2.0) and the penalties. 23 of 24 objects differ from the commonest Normal record; 9 of 72 records zero the scoring entirely. Not settled: which object is which stage. None of AUTO_SETTINGS's 28 filenames resolves to any of the 24 under 19 prefixes, and 24 vs 28 is unexplained. New doc structures/mission-scoring.md, regenerator mission_scoring.py, artefact data/mission-scoring.txt. Twelve artefacts now. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01PMRJjbxLqZtsb5Vb7KunPE
97 lines
3.5 KiB
Python
97 lines
3.5 KiB
Python
#!/usr/bin/env python3
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"""Regenerate docs/re/data/mission-scoring.txt.
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The per-stage mission scoring / rank-threshold tables: 24 IDXD objects per
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language pack, each holding Score_Easy / Score_Normal / Score_Hard with one
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22-field schema. Loader: sub_8230D1F8.
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Run: python3 mission_scoring.py > ../../docs/re/data/mission-scoring.txt
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"""
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import sys, os, glob, collections
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sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
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from unit_substructures import pak_entries
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import unitgroup as U
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DAT = '/work/sylph_extract/dat'
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KEY = 'RankScore_S'
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DIFFS = ('Score_Easy', 'Score_Normal', 'Score_Hard')
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def main():
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percopy = {}
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for p in sorted(glob.glob(os.path.join(DAT, '*.pak'))):
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n = sum(1 for _, s in pak_entries(p)
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if s[:4] == b'IDXD' and KEY.encode() in s)
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if n:
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percopy[os.path.basename(p)] = n
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P = os.path.join(DAT, 'GP_MAIN_GAME_E.pak')
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tables = []
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for h, s in pak_entries(P):
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if s[:4] != b'IDXD' or KEY.encode() not in s:
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continue
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try:
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recs = U.parse(s)
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except Exception:
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continue
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tables.append((h, {r['squadron']: U.named(r) for r in recs
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if r['squadron'] in DIFFS}))
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tables.sort()
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print('# Mission scoring / rank thresholds (regenerated by mission_scoring.py)')
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print()
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print('IDXD objects carrying %s, per pack: %s' % (KEY, percopy))
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print('total across the disc : %d' % sum(percopy.values()))
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print('difficulty records per object : %s' % sorted(
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{tuple(sorted(t)) for _, t in tables}))
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schemas = collections.Counter()
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for _, t in tables:
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for d in DIFFS:
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schemas[tuple(sorted(t[d]))] += 1
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print('distinct field sets : %d' % len(schemas))
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fields = sorted(schemas.most_common(1)[0][0])
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print('records : %d (%d fields each)' % (
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sum(schemas.values()), len(fields)))
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# how much does each field actually vary?
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print()
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print('value census per field (over %d records):' % sum(schemas.values()))
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for f in fields:
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c = collections.Counter(t[d][f] for _, t in tables for d in DIFFS)
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vals = ' '.join('%s=%d' % (k, v) for k, v in sorted(
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c.items(), key=lambda kv: (-kv[1], kv[0])))
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print(' %-32s %2d distinct %s' % (f, len(c), vals[:110]))
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# does difficulty move anything?
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print()
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print('fields that differ between the three difficulty records:')
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moved = collections.Counter()
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for _, t in tables:
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for f in fields:
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if len({t[d][f] for d in DIFFS}) > 1:
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moved[f] += 1
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print(' %s' % (dict(moved) if moved else 'NONE — Easy/Normal/Hard are identical everywhere'))
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# per-object variation
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print()
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print('objects whose Normal record differs from the commonest Normal record:')
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base = collections.Counter(tuple(sorted(t['Score_Normal'].items()))
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for _, t in tables).most_common(1)[0][0]
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odd = [(h, t) for h, t in tables
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if tuple(sorted(t['Score_Normal'].items())) != base]
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print(' %d of %d objects' % (len(odd), len(tables)))
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for h, t in odd:
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diff = {f: t['Score_Normal'][f] for f in fields
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if t['Score_Normal'][f] != dict(base)[f]}
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print(' %#010x %s' % (h, diff))
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print()
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print('the commonest Normal record:')
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for k, v in sorted(dict(base).items()):
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print(' %-32s %s' % (k, v))
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if __name__ == '__main__':
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main()
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