Commit Graph

9 Commits

Author SHA1 Message Date
SirStone c091bf3c34 harness: upgrade to server 1.3.1, keep 0.35.5 selectable, re-baseline
All prior measurements ran on server 0.35.5. The default is now the current
1.3.1 jar, with the legacy jar kept and switchable via TR_SERVER_JAR (no code
edit). test_gauntlet_5bots.nim no longer clobbers a caller's TR_SERVER_JAR -
it used to putEnv() unconditionally, so an override was silently ignored.

RE-BASELINE (controlled RulesProbe battle, stationary bot, powers 0.1/0.5/1/2/3):

  dimension                    1.3.1              0.35.5            verdict
  bullet damage per hit        0.4/2/4/10/16       identical         SAME
  bullet speed (20-3p)         within noise        within noise      SAME
  post-fire gun heat (1+p/5)   identical           identical         SAME
  cooling                      0.1/tick            0.1/tick          SAME
  bulletDamage SCORE           exactly 100/round   104..113/round    DIFFERENT
  bulletKillBonus (20%)        20/round            20..23/round      DIFFERENT

LOUD FINDING - a SCORING rule changed, physics did not: 0.35.5 credits
OVERKILL to bulletDamage (the killing bullet's full damage even past 0 energy);
1.3.1 caps it at the energy actually removed. Every 0.35.5 score is therefore
inflated ~5-6%, and bulletKillBonus inherits the inflation. Gauntlet totals
shift accordingly (SittingDuck 1936 -> 1800, WaveSurfer 1886 -> 1669).

Consequence: score-based numbers recorded on 0.35.5 are NOT comparable to 1.3.1.
Our gun A/Bs used real HIT RATE, not score, so those conclusions stand.

Runner 1.0.2 (unchanged, no newer one on the box) is measured compatible with
the 1.3.1 server. Note TrBattleCapture uses the runner's EMBEDDED server, which
is 1.0.2 - so the capture path still runs an older engine than the gauntlet.

Also re-ran acceptance_offline_vs_online on the new default: 12/12.
2026-09-21 22:41:06 +02:00
SirStone 1e8f0d342a fix(adversaries): the launchers ran STALE binaries - this is why the earlier fix never took effect
P0. Three of the five launchers ran ./<Bot> (a tracked binary at the bot root)
while config.nims sets outdir=out and both the test framework's compileBots and
a manual 'nim c src/<Bot>.nim' write to out/. SittingDuck and OscillatorBot
correctly ran ./out/<Bot>; RandomMover, PatternMover and WaveSurfer did not.
cmp confirms the root and out binaries differed for all three.

Consequence: the previous session's adversary fixes were compiled into out/ and
never executed. Every gauntlet and every capture ran the OLD code. This is
almost certainly why the user's instinct that these bots were still bugged was
correct while the code claimed otherwise.

Fixed by pointing all five launchers at ./out/<Bot>, and by deleting the three
stale root binaries so the trap cannot recur. Verified end to end through the
booter: WaveSurfer went from standing still 96.2% of ticks with a 1398-tick
longest standstill, to rest 12.3% / mean speed 6.69 / longest zero run 18 /
perpendicular 0.845.

Also honours GUN_STATS_PATH in test_gauntlet_5bots.nim (same knob ModularBot
reads) so pooled gauntlet runs append to one file instead of clobbering the
default.

NOTE for a follow-up: the out/ binaries are still TRACKED build artifacts, which
is the same class of hazard that caused this. Untracking them (as was done for
ModularBot_garage/ModularBot) would remove the failure mode entirely.
2026-09-21 08:22:04 +02:00
SirStone c034eb9d25 feat(testing): gun rack gauntlet + analysis reports
- fix(ModularBot): onBulletHitBot → onBulletHit (real hits were never tracked)
- feat(ModularBot): per-round gun stats dump to /tmp/gun_stats.jsonl
- feat(ModularBot): gun selection counter per round
- fix(tests): adversary paths _garage suffix removed from 7 test files
- feat(tests): test_gauntlet_5bots.nim — 10-round gauntlet vs all 5 adversaries
- feat(tests): analyze_gun_stats.nim — JSONL parser for gun performance tables
- docs: gun_rack_analysis.md — full per-gun performance report
- docs: gun_rack_summary.md — TL;DR verdict table (keep/drop/tune)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-09-20 21:14:12 +02:00
SirStone 1eaaadf627 refactor: move adversarial test bots to common_libs/test_framework/adversaries/ 2026-09-20 10:49:31 +02:00
SirStone 18ff2d45b3 feat(ModularBot): acceleration predictor gun, 9 guns total
- Accel gun: tracks velocity+heading changes, extrapolates with acceleration
- Handles speed-up, slow-down, and combined accel+turn
- Battle-tested vs Crazy, RandomMover, Walls
2026-09-20 01:34:27 +02:00
SirStone b2cf02db11 feat(ModularBot): wave-surf movement + wall-bounce gun, 8 guns total
- Wave-surf movement module (not wired, needs movement selector)
- Wall-bounce gun: linear extrapolation with arena wall reflection
- 8 guns: head-on, linear, circular, tsetlin, guess-factor, pattern, anti-surfer, wall-bounce
- Battle-tested against Walls, SpinBot, WaveSurfer, PatternMover, TrackFire

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-09-20 01:31:41 +02:00
SirStone ebe5b1b7f1 feat(ModularBot): anti-surfer gun + wave-surf movement module
- Anti-surfer gun: inverse GF targeting for wave-surfing enemies
- Wave-surf movement: danger histogram dodge (not wired yet, needs movement selector)
- 7 guns total, battle-tested

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-09-20 01:28:29 +02:00
SirStone 1ed7797cb6 feat(ModularBot): 6 guns, pattern matcher, melee modules, adversarial bots
- New guns: guess-factor (GF histogram), pattern-matcher (movement tape replay)
- New modules: minimum-risk melee movement, spinning melee radar
- New test bots: PatternMover, RandomMover, WaveSurfer
- Fixed: FeedbackEvent now carries actualX/actualY for proper GF learning
- Fixed: TM gun warmup gating + directional residuals
- Fixed: circular gun integrated formula + multi-bin omega cache
- Fixed: oscillator wall-bounce lockout
- Fixed: phantom meteor perpendicular body orientation
- 6/6 battle wins across all enemy types
2026-09-20 00:59:53 +02:00
SirStone 254c7dc997 feat(ModularBot): pluggable bot with 4 guns, phantom meteor movement, radar harness
- Gun harness: virtual bullet tracker, rolling fitness, auto-selector
- Guns: head-on, linear (extrapolation), circular (integrated formula), tsetlin machine (learning)
- Movement: phantom meteor gravity engine (danger histograms, phantom bullets, fire detection)
- Radar: harness + radar_lock adapter
- Color-coded modules: turret/bullet color per gun, body per movement, scan per radar
- Beats Target, SpinBot, Crazy, TrackFire in 10-round battles
2026-09-20 00:37:10 +02:00