re: the rest of the stage-settings object -- cameras, player limits, difficulty

53 objects in GP_MAIN_GAME_E carry a Phase_1 record, in TWO families: 29 are
the resource manifest the corpus already owns (Phase_N = 4 fields) and 24 are
the settings table (Phase_N = 31-90 fields).  That answers the 24-vs-28 puzzle
left open by the scoring entry -- the 29 is a different table, not the settings.

Camera: three chase rigs in metres, 13 of 14 fields identical in every stage --
Nose (0, 4.5, 7), Near (0, 10, 40), Far (0, 15, 80), FOV 0.92; only CameraFar
varies, once.  Player: BulletLimit 512 / HomingLimit 256 / LaserLimit 32 and
the three 0.30 axis adjustments are constant, GravityFactor is non-zero in 4 of
24 stages, and IsBoss16Enable appears in exactly ONE object -- the first
per-stage handle for a family whose filenames do not resolve.

Difficulty_Easy/Normal/Hard is a SECOND difficulty record (8 damage and
guidance multipliers), separate from Score_*.

New doc structures/stage-settings-table.md; mission_scoring.py extended.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01PMRJjbxLqZtsb5Vb7KunPE

tools/re-capture/mission_scoring.py

@@ -86,6 +86,40 @@ def main():
                 if t['Score_Normal'][f] != dict(base)[f]}
         print('    %#010x  %s' % (h, diff))
 
+    # the rest of the settings object: Camera / Player / SplinterCell / Difficulty_*
+    OTHER = ('Camera', 'Player', 'SplinterCell',
+             'Difficulty_Easy', 'Difficulty_Normal', 'Difficulty_Hard')
+    full = []
+    for h, s2 in pak_entries(P):
+        if s2[:4] != b'IDXD' or KEY.encode() not in s2:
+            continue
+        try:
+            full.append((h, {r['squadron']: r for r in U.parse(s2)}))
+        except Exception:
+            pass
+    full.sort()
+    print()
+    print('the rest of the settings object (%d objects):' % len(full))
+    shapes = collections.Counter(tuple(sorted(d)) for _, d in full)
+    print('  record-name sets: %d' % len(shapes))
+    for t, c in shapes.most_common():
+        print('    x%-3d %s' % (c, list(t)))
+    for rn in OTHER:
+        vals = collections.defaultdict(collections.Counter)
+        n = 0
+        for _, d in full:
+            if rn not in d:
+                continue
+            n += 1
+            for k, v in U.named(d[rn]).items():
+                vals[k][v] += 1
+        print()
+        print('  %s — present in %d/%d objects, %d fields' % (rn, n, len(full), len(vals)))
+        for k in sorted(vals):
+            c = vals[k]
+            print('    %-36s %2d distinct  %s' % (
+                k, len(c), ' '.join('%s=%d' % (a, b) for a, b in c.most_common(5))[:70]))
+
     print()
     print('the commonest Normal record:')
     for k, v in sorted(dict(base).items()):