SirStone
fbf9414375
- Ram movement: drive straight at enemy (not wired, needs selector) - Averaged-lead gun: mean of linear+circular+wall-bounce predictions - 12 guns total, battle-tested Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
38 lines
1.2 KiB
Nim
38 lines
1.2 KiB
Nim
## Averaged-lead gun: mean prediction from linear, circular, and wall-bounce guns.
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## Smooths noise when enemy movement is between analytical models.
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import gun_harness/gun_interface
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import guns/linear
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import guns/circular
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import guns/wall_bounce
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type AveragedLeadGun* = object
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linear: LinearGun
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circular: CircularGun
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wallBounce: WallBounceGun
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cachedTick: int
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cachedPred: GunPrediction # per-tick cache; ponytail: single cache, extend if multi-power needed
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proc initAveragedLeadGun*(): AveragedLeadGun =
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AveragedLeadGun(wallBounce: initWallBounceGun())
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proc predict*(g: var AveragedLeadGun, state: WorldState, bulletSpeed: float): GunPrediction =
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if state.tick == g.cachedTick:
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return g.cachedPred
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let lp = g.linear.predict(state, bulletSpeed)
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let cp = g.circular.predict(state, bulletSpeed)
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let wp = g.wallBounce.predict(state, bulletSpeed)
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var px = (lp.x + cp.x + wp.x) / 3.0
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var py = (lp.y + cp.y + wp.y) / 3.0
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px = clamp(px, BotRadius, state.arenaWidth - BotRadius)
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py = clamp(py, BotRadius, state.arenaHeight - BotRadius)
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g.cachedTick = state.tick
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g.cachedPred = GunPrediction(x: px, y: py)
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g.cachedPred
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proc onResult*(g: var AveragedLeadGun, e: FeedbackEvent) =
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discard # analytical average — no learning
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