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SirStone 4f18c8ce07 feat(tools): capture real DrussGT movement from classic Robocode as fixtures
There are no genuinely competitive adversaries for Tank Royale, and the
in-repo ones were broken until recently. Classic Robocode 1.9.5.5 is
obtainable (SourceForge, 20.4 MB) and its programmatic control API
(robocode.control.RobocodeEngine + BattleAdaptor.onTurnEnded) can run real
battles headless and expose per-turn robot state. So a legacy leader bot's
MOVEMENT can be captured and used as a gun-testing fixture with no port.

Captured unmodified DrussGT 3.1.4159 vs spinbot/ramfire/crazy/corners and a
mirror match: 28,797 ticks, plus two trivial-bot contrasts. Conversion to
the Tank Royale convention is validated to 0.000-0.001 deg by recomputing
the direction implied by (heading, speed) and comparing it against the
recorded per-tick displacement -- i.e. the data is proven to be genuine
recorded motion rather than a mangled export. (A first attempt treated the
snapshot API's headings as degrees; they are radians, ~95 deg off.)

The statistics confirm it is really a wave surfer: perpendicular to the
opponent 65-96% of ticks, radial ~0.001, 41-72% of ticks at full speed,
reversing on 42-46% of ticks, holding range at a 283-526 px median. The
straight-line contrast is radial-dominant (0.75) with ZERO reversals.

Discovery: DrussGT detects predictable guns and switches to a bullet-shield
stand-still mode, so captures against sample.Walls/TrackFire had to be
rejected as non-movement.

CAVEATS, recorded in DRUSSGT_FIXTURES.md: these are open-loop (replayed
DrussGT never dodges OUR bullets) and perfect-information (the observer
gives true positions every tick, unlike our stale live WorldState). Both
make our guns look better than in live play, so use them for RELATIVE gun
ranking, not absolute hit rates.

Jars stay out of git; capture tooling is reproducible via capture.sh.
2026-09-20 23:44:42 +02:00

153 lines
6.7 KiB
Python

#!/usr/bin/env python3
"""Analyze classic-Robocode fixture JSONL + validate the heading conversion.
Conversion claimed: tank_heading = (90 - classic_heading) mod 360
Since classic Robocode x/y axes match Tank Royale (origin bottom-left, x right,
y up), position deltas between ticks should align with the reported heading.
"""
import json, sys, math, statistics as st
def load(path):
rows = []
for line in open(path):
line = line.strip()
if not line:
continue
o = json.loads(line)
if "tick" in o:
rows.append(o)
rounds = []
import os
for cand in (path + ".rounds.json",
os.path.join(os.path.dirname(path), "drussgt_meta",
os.path.basename(path) + ".rounds.json")):
try:
rounds = json.load(open(cand))["rounds"]
break
except Exception:
rounds = None
return rows, rounds
def wrap180(a):
return ((a + 180.0) % 360.0) - 180.0
def unit(deg):
r = math.radians(deg)
return math.cos(r), math.sin(r)
def analyze(path):
rows, rounds = load(path)
# boundary ticks (first tick of a round)
starts = set()
if rounds:
for r in rounds:
starts.add(r["startTick"])
else:
# fallback heuristic: big jump
for i in range(1, len(rows)):
dx = rows[i]["ex"] - rows[i-1]["ex"]
dy = rows[i]["ey"] - rows[i-1]["ey"]
if math.hypot(dx, dy) > 20:
starts.add(rows[i]["tick"])
n = len(rows)
speeds = [abs(r["es"]) for r in rows]
signed = [r["es"] for r in rows]
heading_changes = []
dists = []
perp_sin = []
radial_cos = []
disp_err = [] # angular error between displacement dir and reported movement dir
disp_err_next = []
moving_ticks = 0
for i, r in enumerate(rows):
d = math.hypot(r["ex"] - r["sx"], r["ey"] - r["sy"])
dists.append(d)
if i == 0 or rows[i]["tick"] in starts:
continue
p = rows[i-1]
dh = wrap180(r["eh"] - p["eh"])
heading_changes.append(abs(dh))
dx = r["ex"] - p["ex"]
dy = r["ey"] - p["ey"]
step = math.hypot(dx, dy)
v = r["es"]
if abs(v) < 0.5 or step < 0.2:
continue
moving_ticks += 1
# movement direction implied by heading + velocity sign (tank convention)
mu = r["eh"] if v >= 0 else r["eh"] + 180.0
# radial direction from enemy to shooter
theta = math.degrees(math.atan2(r["sy"] - r["ey"], r["sx"] - r["ex"]))
delta = math.radians(mu - theta)
perp_sin.append(abs(math.sin(delta)))
radial_cos.append(abs(math.cos(delta)))
# conversion validation: displacement direction vs movement dir
phi = math.degrees(math.atan2(dy, dx))
disp_err.append(abs(wrap180(phi - mu)))
phi_prev = math.degrees(math.atan2(dy, dx))
mu_prev = p["eh"] if p["es"] >= 0 else p["eh"] + 180.0
disp_err_next.append(abs(wrap180(phi_prev - mu_prev)))
def pct(x, p):
if not x:
return float("nan")
s = sorted(x)
k = min(len(s)-1, int(round((p/100.0)*(len(s)-1))))
return s[k]
def hist(x, edges):
tot = len(x)
out = []
for lo, hi in zip(edges[:-1], edges[1:]):
c = sum(1 for v in x if lo <= v < hi)
out.append((f"[{lo},{hi})", c/tot if tot else 0.0))
return out
res = {
"path": path, "n": n,
"speed_hist": hist(speeds, [0, 0.5, 1, 2, 3, 4, 5, 6, 7, 7.5, 8.01]),
"speed_mean": st.mean(speeds), "speed_median": st.median(speeds),
"speed_std": (st.pstdev(speeds) if n > 1 else 0.0),
"speed_p90": pct(speeds, 90),
"frac_rest": sum(1 for v in speeds if v < 0.5)/n,
"frac_full": sum(1 for v in speeds if v >= 7.5)/n,
"frac_neg": sum(1 for v in signed if v < -0.5)/n,
"hc_mean": st.mean(heading_changes) if heading_changes else float("nan"),
"hc_median": st.median(heading_changes) if heading_changes else float("nan"),
"hc_p90": pct(heading_changes, 90), "hc_p99": pct(heading_changes, 99),
"hc_max": max(heading_changes) if heading_changes else float("nan"),
"frac_hc_lt1": (sum(1 for v in heading_changes if v < 1.0)/len(heading_changes)) if heading_changes else float("nan"),
"frac_hc_gt5": (sum(1 for v in heading_changes if v > 5.0)/len(heading_changes)) if heading_changes else float("nan"),
"hc_hist": hist(heading_changes, [0, 0.5, 1, 2, 3, 5, 7, 10, 11, 180.1]),
"dist_mean": st.mean(dists), "dist_median": st.median(dists),
"dist_p10": pct(dists, 10), "dist_p90": pct(dists, 90),
"moving_ticks": moving_ticks,
"perp_frac": (sum(1 for v in perp_sin if v > 0.866)/len(perp_sin)) if perp_sin else float("nan"),
"radial_frac": (sum(1 for v in radial_cos if v > 0.866)/len(radial_cos)) if radial_cos else float("nan"),
"mean_abs_sin": st.mean(perp_sin) if perp_sin else float("nan"),
"mean_abs_cos": st.mean(radial_cos) if radial_cos else float("nan"),
"conv_err_same_tick_mean": st.mean(disp_err) if disp_err else float("nan"),
"conv_err_prev_tick_mean": st.mean(disp_err_next) if disp_err_next else float("nan"),
"conv_err_same_tick_median": st.median(disp_err) if disp_err else float("nan"),
}
return res
if __name__ == "__main__":
for path in sys.argv[1:]:
r = analyze(path)
print("="*100)
print(r["path"], "ticks=", r["n"], "movingTicks=", r["moving_ticks"])
print(f" conversion check: mean |angle(displacement) - movementdir| = {r['conv_err_same_tick_mean']:.3f} deg "
f"(median {r['conv_err_same_tick_median']:.3f}); using prev-tick heading {r['conv_err_prev_tick_mean']:.3f}")
print(f" SPEED: mean={r['speed_mean']:.3f} median={r['speed_median']:.3f} std={r['speed_std']:.3f} p90={r['speed_p90']:.2f} "
f"rest(<0.5)={r['frac_rest']:.3f} full(>=7.5)={r['frac_full']:.3f} neg={r['frac_neg']:.3f}")
print(" speed hist:", " ".join(f"{k}:{v:.3f}" for k,v in r["speed_hist"]))
print(f" HEADING CHANGE: mean={r['hc_mean']:.3f} median={r['hc_median']:.3f} p90={r['hc_p90']:.2f} p99={r['hc_p99']:.2f} max={r['hc_max']:.2f} "
f"|d|<1={r['frac_hc_lt1']:.3f} |d|>5={r['frac_hc_gt5']:.3f}")
print(" heading-change hist:", " ".join(f"{k}:{v:.3f}" for k,v in r["hc_hist"]))
print(f" DISTANCE: mean={r['dist_mean']:.1f} median={r['dist_median']:.1f} p10={r['dist_p10']:.1f} p90={r['dist_p90']:.1f}")
print(f" LATERAL/RADIAL: perpFrac={r['perp_frac']:.3f} radialFrac={r['radial_frac']:.3f} "
f"mean|sin|={r['mean_abs_sin']:.3f} mean|cos|={r['mean_abs_cos']:.3f}")