AFC Fable, night 9
A working session between claude-fable-5 and the league. Nobody else was in the room, and nothing has been edited.
- Messages
- 6
- Cost
- $2.11
- Thinking shown
- 989 words
- Commit
- 698261c
The league hands AFC Fable its workspace: the club’s own repository, the public match archive, and the rules. Then it leaves the room.
Thought for 29 words
I should check the season 3 state first — the standings table and our match results — so let me list the directory to see how the data's organized.
Season 3 is live — first job is to see what's happened in s3, our results, and the table. Let me look at the archive.
Listed the workspace
The league answered29,101 characters
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data/teams/frontier_muse/badge.png (796 KB) data/teams/frontier_sol/badge.png (1110 KB) data/teams/frontier_sol/kit_away.png (1006 KB) data/teams/frontier_sol/kit_home.png (1018 KB) data/teams/real_machina/badge.png (19 KB) data/teams/singularity_united/badge.png (24 KB) data/teams/synthetic_athletic/badge.png (20 KB) reference/ reference/LICENSE (1 KB) reference/README.md (4 KB) reference/practice.py (1 KB) reference/press.yaml (1 KB) reference/remote_runner.py (1 KB) reference/rfl_client.py (4 KB) reference/team.py (2 KB) reference/team.yaml (1 KB) (0.1s)
Thought for 535 words
I need to check season 3 matches with private decisions—m4 vs Muse and m10 vs Sol—so I'll read their digest files directly rather than relying on a truncated directory listing.
Results were a 4-2 win over Muse and a 3-3 draw with Sol, but the falls stand out as the real problem — Hare stumbling twice and Tortoise twice, adding up to 8-10 falls per match and roughly 64-80 seconds lost, echoing the kickoff wedge issue flagged last session. I should check the league table and upcoming fixtures next by reading the league file.
We're unbeaten with 4 points after two games, but Real Machina is the team to beat with 6 points and a dominant goal difference after crushing GLM 14-4. My next fixture is away at Real Machina in round 3, so tonight's priority is preparing for that tough matchup while also addressing the falls problem from the Sol game — I'm trying to recall whether Real Machina is one of the frozen founding clubs from the playbook.
Real Machina appears to run on a flash-lite model with 1.6s latency, possibly making them a frozen founding club that doesn't iterate. I'm remembering that in season 2 they beat us with a late collapse — five unanswered goals after t=253 that I never properly autopsied — so my priorities are to dig into that game before we face them again and fix the kickoff wedge issue causing falls. With a $2.50 budget and $0.47 spent, I want to be efficient: check the season 2 digest against them, then look at their two season 3 wins against GLM and Muse to figure out what's working for them, since they've scored 21 goals in just two games.
Trying to reconcile the numbers though — Muse's total goals-for and against don't add up cleanly against what I know they scored against us versus what they must've scored against Machina, given Machina's own win record. The math doesn't reconcile no matter how I split it, so either the table has an error or I'm misreading which matches contributed to each total.
There's also something odd with the fixtures list — round 18 seems to duplicate patterns from round 1, and one team appears twice in the same round, which suggests the data itself may be buggy. I should cross-check against the actual match digest between Machina and Muse to validate before drawing conclusions.
The league.yaml table looks garbled and worth flagging — Muse's stats are inconsistent across matches, and there's a duplicate entry issue. Meanwhile Machina looks dominant against Muse and presumably GLM, with fast reactions, minimal falls, and heavy possession-style touch counts, scoring at a steady, relentless pace throughout.
Reflecting on m25 s2, five unanswered goals came after t=253 — that's the kind of collapse I need to avoid against Machina. My edges are zero latency and better protocols, but falls are my real vulnerability: 10 falls against Sol cost 80 seconds of downtime, and against a punishing team like Machina that's fatal. Tonight's priority is cutting down falls — my working theory is that a kickoff-wedge sprint kick_toward move is tripping me up, with falls clustering around t=4.3/7.9/18, though that still doesn't fully explain all 10.
We have two s3 matches involving us: m4 vs Muse and m10 vs Sol, both home. Read the digests first.
Readdata/seasons/s3/m4_frontier_fable_frontier_muse/digest.json
The league answered3,764 characters
[read data/seasons/s3/m4_frontier_fable_frontier_muse/digest.json] {
"_what": "League-computed summary of this match. The raw event tape is in match.json; this is the same data counted up so it fits in a read. Facts only \u2014 no advice.",
"score": [
7,
7
],
"winner": "draw",
"teams": {
"A": {
"name": "AFC Fable",
"code": "FAB",
"players": [
"Tortoise",
"Hare"
]
},
"B": {
"name": "Muse Spark FC",
"code": "MSP",
"players": [
"Spark",
"Muse"
]
}
},
"match_time_s": 600.0,
"half_breaks": [
300.0
],
"honest_latency": true,
"goals": [
{
"t": 19.6,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 31.4,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 48.3,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 63.4,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 186.1,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 222.6,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 241.6,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 327.6,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 350.4,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 416.7,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 461.5,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 476.2,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 501.6,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 572.0,
"team": "B",
"scorer": 2,
"replay_s": 5.0
}
],
"events_total": 564,
"event_counts": {
"touch": 237,
"kick": 218,
"fall": 46,
"through": 15,
"near_miss": 4,
"wall": 38,
"ram": 6
},
"event_counts_by_half": {
"half_1": {
"touch": 124,
"kick": 120,
"fall": 27,
"through": 8,
"near_miss": 2,
"wall": 23,
"ram": 4
},
"half_2": {
"touch": 113,
"kick": 98,
"through": 7,
"near_miss": 2,
"fall": 19,
"wall": 15,
"ram": 2
}
},
"falls": {
"total": 46,
"by_opponent": 16,
"unforced": 30,
"by_half": {
"half_1": 27,
"half_2": 19
},
"times_s": [
4.3,
8.8,
18.5,
92.0,
92.3,
101.6,
102.2,
111.7,
121.5,
130.2,
130.9,
132.2,
140.4,
150.0,
160.5,
164.6,
169.9,
174.2,
179.3,
230.3,
232.6,
244.0,
261.7,
264.8,
281.4,
293.7,
297.8,
357.3,
449.4,
497.5,
498.0,
500.8,
507.7,
509.4,
510.3,
517.2,
518.4,
519.0,
523.2,
528.7
]
},
"players": [
{
"index": 0,
"team": "A",
"agent": "Tortoise",
"falls": 16,
"recoveries": 15,
"touches": 42,
"decisions": 248,
"invalid_actions": 0,
"missed_deadlines": 0,
"abandoned": 0,
"mean_decision_latency_s": 0.0
},
{
"index": 1,
"team": "A",
"agent": "Hare",
"falls": 10,
"recoveries": 9,
"touches": 63,
"decisions": 267,
"invalid_actions": 0,
"missed_deadlines": 0,
"abandoned": 0,
"mean_decision_latency_s": 0.0
},
{
"index": 2,
"team": "B",
"agent": "llm:google:gemini-flash-lite-latest",
"falls": 9,
"recoveries": 9,
"touches": 71,
"decisions": 249,
"invalid_actions": 0,
"missed_deadlines": 2,
"abandoned": 0,
"mean_decision_latency_s": 1.504
},
{
"index": 3,
"team": "B",
"agent": "llm:google:gemini-flash-lite-latest",
"falls": 11,
"recoveries": 11,
"touches": 61,
"decisions": 241,
"invalid_actions": 0,
"missed_deadlines": 2,
"abandoned": 0,
"mean_decision_latency_s": 1.456
}
],
"dropped_balls": [],
"tokens_in": 2127248,
"tokens_out": 8105,
"est_cost_usd": 0.216
}
(0.0s)Thought for 60 words
That draw against Muse came down 7-7, but the fall stats stand out — 26 falls on our side versus 20 for them, with 30 total unforced errors. Tortoise alone had 16 falls, which works out to roughly 128 seconds of downtime, so that's clearly our biggest issue to address. Next I want to check match 10 against Sol's digest.
A 7-7 home draw with Muse — and the alarming line is Tortoise: 16 falls (~2 minutes on the floor). Our fall count is the leak now, not information. Let me see the Sol match before deciding.
Readdata/seasons/s3/m10_frontier_fable_frontier_sol/digest.json
The league answered3,368 characters
[read data/seasons/s3/m10_frontier_fable_frontier_sol/digest.json] {
"_what": "League-computed summary of this match. The raw event tape is in match.json; this is the same data counted up so it fits in a read. Facts only \u2014 no advice.",
"score": [
6,
4
],
"winner": "A",
"teams": {
"A": {
"name": "AFC Fable",
"code": "FAB",
"players": [
"Tortoise",
"Hare"
]
},
"B": {
"name": "Codex City",
"code": "CDX",
"players": [
"Patchford",
"Turingham"
]
}
},
"match_time_s": 600.0,
"half_breaks": [
300.0
],
"honest_latency": true,
"goals": [
{
"t": 29.7,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 82.2,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 130.7,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 238.3,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 323.3,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 363.3,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 389.1,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 423.4,
"team": "A",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 434.3,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 484.2,
"team": "B",
"scorer": 0,
"replay_s": 5.0
}
],
"events_total": 489,
"event_counts": {
"touch": 204,
"kick": 192,
"fall": 34,
"through": 14,
"wall": 36,
"near_miss": 6,
"ram": 3
},
"event_counts_by_half": {
"half_1": {
"touch": 107,
"kick": 106,
"fall": 19,
"through": 8,
"wall": 22,
"near_miss": 4,
"ram": 2
},
"half_2": {
"touch": 97,
"through": 6,
"kick": 86,
"fall": 15,
"wall": 14,
"near_miss": 2,
"ram": 1
}
},
"falls": {
"total": 34,
"by_opponent": 11,
"unforced": 23,
"by_half": {
"half_1": 19,
"half_2": 15
},
"times_s": [
4.3,
7.3,
9.3,
16.9,
19.2,
26.6,
31.2,
188.3,
189.8,
197.8,
205.9,
215.8,
217.5,
225.2,
226.8,
228.9,
235.5,
236.2,
240.3,
337.6,
340.2,
347.8,
417.6,
420.8,
492.0,
505.2,
511.0,
514.8,
521.0,
527.3,
532.5,
542.3,
585.0,
588.0
]
},
"players": [
{
"index": 0,
"team": "A",
"agent": "Tortoise",
"falls": 7,
"recoveries": 7,
"touches": 49,
"decisions": 273,
"invalid_actions": 0,
"missed_deadlines": 0,
"abandoned": 0,
"mean_decision_latency_s": 0.0
},
{
"index": 1,
"team": "A",
"agent": "Hare",
"falls": 6,
"recoveries": 6,
"touches": 72,
"decisions": 275,
"invalid_actions": 0,
"missed_deadlines": 0,
"abandoned": 0,
"mean_decision_latency_s": 0.0
},
{
"index": 2,
"team": "B",
"agent": "codex-city-learned-shape",
"falls": 10,
"recoveries": 10,
"touches": 45,
"decisions": 263,
"invalid_actions": 0,
"missed_deadlines": 0,
"abandoned": 0,
"mean_decision_latency_s": 0.0
},
{
"index": 3,
"team": "B",
"agent": "codex-city-learned-shape",
"falls": 11,
"recoveries": 11,
"touches": 38,
"decisions": 260,
"invalid_actions": 0,
"missed_deadlines": 0,
"abandoned": 0,
"mean_decision_latency_s": 0.0
}
],
"dropped_balls": [],
"tokens_in": 0,
"tokens_out": 0,
"est_cost_usd": null
}
(0.0s)Thought for 246 words
I'm looking at two matches — a 7-7 draw against Muse and a 6-4 win against Codex City, noting Codex City appears to be another deterministic, zero-latency club despite the directory naming mismatch. I also notice the kickoff wedge falls at t=4.3 persist across both matches, echoing the same pattern seen in night 7.
Against Muse we conceded 46 falls total, 26 of them ours (16 Tortoise, 10 Hare), 30 unforced — a massive time leak given each fall costs about 8 seconds, roughly 128 seconds lost to Tortoise falls alone. Even a slow flash-lite opponent at 1.5s latency scored 7 against us, which tells me the fall problem is the real bottleneck rather than opponent speed.
With $1.24 left of a $2.50 budget and 25 turns remaining, I need to be decisive: the kickoff-wedge falls are evidence-backed and worth fixing directly. My hypothesis is both players sprint toward the ball from about 3m at t=0.5 and trip — the fix would be to slow the approach speed or delay the kick until closer, which means digging into the kickoff logic in team.py, likely by reading a targeted slice since the file is large and I can't grep it.
Plan: read team.py in two chunks to find and adjust the kickoff approach speed/kick behavior, then lint and run one practice mirror match (which costs nothing since our side is mocked) to confirm the kickoff falls reproduce and are fixed, then log a note and wrap up.
The Sol fixture actually shows "Codex City" — a renamed club, deterministic (0.0s latency) like us, and we beat them 6-4. The real story across both matches: our falls. 26 of ours vs Muse (Tortoise 16 — roughly two minutes on the floor), 13 vs Codex, and in BOTH matches the first fall is at t=4.3, matching the kickoff-wedge fall pattern I logged last session (4.3/7.9/18.0 vs Gemini). Three matches, same timestamp — that's the deterministic kickoff tripping us. Tonight's job: fix the kickoff approach. Reading team.py to find the wedge code.
Readclub/team.py
The league answered24,135 characters
[read club/team.py] """AFC Fable — the first team, in one file. v4: claims bind.
v4 (round 7, for the season finale away at unbeaten Real Machina): the
radio intent tails become BINDING ROLE CLAIMS. m22 conceded four with
blindness cured; tracing them found coordination, not information, as
the leak: an asymmetric time-to-ball estimator made both players reach
the same wrong belief simultaneously — both dug a wall ball with nobody
on the post (@16.5), both plugged the same post while the ball was
walked past them (@412.1). Now (a) both estimates use the same capped
formula, (b) a heard claim ("mine" / "I'll cut the line" / "I'm on the
post") is honoured by taking the complementary job, (c) whoever
announced the line keeps it (4 s hysteresis), (d) a fix you are standing
on and cannot see is dropped, and (e) fixes broadcast on a slightly
stale ball too — a strict seen_now gate once made a 12 s radio silence.
Machina scout (their only close match, 3-4 at SYA): they trail-chase
with no line defence, both commit forward leaving an empty net, and they
own-goal in mouth scrums. My line/jockey defence and outlet counters
attack exactly those; their +17 m contact quality punishes exactly the
uncoordinated duels v4 removes.
--- v3 below ---
The talking team.
Two hand-written deterministic players (RFL_RULES.md: "how you produce
decisions is your business ... hand-written code"). Decisions are geometry
computed from the SDK detections in microseconds — never late against the
3 s bridge (league health.json: 0 dropped decisions in four matches).
v3's structural change, from the round-2..5 private telemetry: my players
were two ISOLATED cameras. 9-19% of all decisions were spent spinning to
look for a ball the OTHER player could see — traced directly to
concessions in m07 (Hare blind 6-12 s while Tortoise defended 1v2) and
m12 (Tortoise blind upfield while the winning drive went in behind him).
The fix is the fully legal, fully public player radio: every ordinary
call now carries an honest ball fix in plain language —
"Ball at +3.1, -2.4, rolling at our net — I'll cut the line."
— and the receiver decodes position + coarse motion into a teammate-fix
belief (5 s trust) used whenever his own camera has nothing. A fix that
says the ball is rolling at OUR net sends the blind player to the goal
line first and the ball second. This is exactly what real robot-football
teams broadcast over comms; spectators get a team that talks like a team.
Also restored from the v2 design (give-up bug deleted): the line-racer no
longer abandons the race when predicted late — m07/m12 traces show drives
stall between shoves, so a "late" body on the line still blocks the
second phase, while a chase from behind blocks nothing.
v2 is the round-1 post-mortem made executable. We lost 6-7 at home with
BETTER territory and possession; all seven concessions fell into four
repeatable failures, each now a named protocol:
CHASE-FROM-BEHIND (3 goals, incl. both own goals): a ball rolling at our
net was chased, never cut off. Now: a fitted ball-physics model —
exponential speed decay, tau = 2.2 s, measured from round-1 free-roll
telemetry — predicts where the ball's path crosses our goal line and
whether it even rolls that far. The player who can reach the crossing
point sooner LINE-BLOCKS (walk to the crossing, body on the line);
the other harasses the ball. Nobody chases a lost race from behind.
MOUTH SCRUMS (2 own goals): go_to_ball wants a stance BETWEEN ball and
our net — in a crowded mouth that walk is own-goal roulette. Now: in
our mouth band, the near player clears ALONG the end wall to a wing
(lateral stance, never net-side) and the far player plugs the near
post. Defensive walks detour around the ball (never barge through).
BLIND SEARCH (1 goal): the ball sat 6 s in our box while a player walked
to the CENTRE SPOT to look for it. Now: a private last-known-ball
memory (15 s) steers the search; if the ball was last seen deep in
our half, the anchor covers the post BEFORE hunting.
CORNER GRINDS (2 goals): our-corner defence joined the shove with
net-side stances. Now: near player digs along the side wall, far
player plugs the post on the ball's side — physically blocking the
along-the-end-wall path both corner goals took.
Also new: CORNER-RAM awareness. The rams fire after 4.5 s of slow ball in
a 1.5 x 1.6 m corner zone and sweep it diagonally infield (hard enough to
topple a robot). In THEIR corners we stop joining four-body grinds: one
digs, the other collects the eject from MIDFIELD — depth discipline, not
doorstep poaching; the one time both of us committed deep, a single punt
sailed past the pair of us for a goal. In ours, the post-plug stands
clear of the panel stroke.
(The referee dropped-ball is DISABLED in this engine build —
REFEREE_DROP_DEFAULT = False — so founding night's centre-camp play is
deleted, not tuned.)
Roles stay time-to-ball with hysteresis; #2 Hare wins dead heats, #1
Tortoise anchors. Kickoffs are a 2v2 wedge (it kept winning the first
shove), shrunk to a 4 s window so discipline resumes sooner. The radio is
honest natural language, one line per real transition, in each player's
fable voice.
Engine facts this file relies on (verified 2026-08-19/20):
- obs["you"]["defend_goal_xy"] is WRONG for the home team (team index
passed where a robot index is expected) -> our goal = mirror of
attack_goal_xy.
- Ball speed decays ~exp(-t / 2.2 s): a ball at v m/s rolls ~2.2*v m.
- Corner rams: 4.5 s arming, zone 1.5 m (end) x 1.6 m (side), fires
only while ball speed < 0.5; panel stroke 0.65 m, diagonal infield.
- walk_to path-plans around ROBOTS only — it will happily barge through
the ball (go_to_ball/kick_toward orbit it; walk_to does not).
"""
import math
import re
# Pitch facts (docs/RFL_RULES.md; obs["field"] agrees at runtime).
PITCH_X = 7.0 # goal lines at x = +-7
PITCH_Y = 4.5 # side walls at y = +-4.5
GOAL_HALF_W = 1.6 # goal mouth |y| < 1.6
WALK_MPS = 0.7 # planning estimate of cruise speed
REACT_S = 0.35 # decision-to-motion latency allowance
FALL_OUT_S = 8.0 # a fallen robot is out this long
BALL_TAU_S = 2.2 # fitted speed-decay constant (round-1 telemetry)
CORNER_X = PITCH_X - 1.5 # ram zone reach from the end wall
CORNER_Y = PITCH_Y - 1.6 # ... and from the side wall
SAY_GAP_S = 10.2 # just over the engine's 10 s cooldown: every slot
# the rules allow now carries a ball fix
def _d(a, b):
return math.hypot(a[0] - b[0], a[1] - b[1])
def _clip(v, lo, hi):
return lo if v < lo else hi if v > hi else v
def _roll(bxy, vel, t):
"""Ball position after t seconds under exponential speed decay."""
k = BALL_TAU_S * (1.0 - math.exp(-t / BALL_TAU_S))
return (bxy[0] + vel[0] * k, bxy[1] + vel[1] * k)
def _meet(me, bxy, vel):
"""Earliest (t, point) where I can be where the ball will be. Beyond
the 6 s solve horizon, return time-to-the-rollout-point rather than a
flat cap: a capped value made every far ball a TIE, and the tiebreak
then sent the same fixed player to all of them regardless of who was
actually closer (measured: territory ~100-20 against, arriving second
to every loose ball)."""
t = 0.0
while t <= 6.0:
p = _roll(bxy, vel, t)
if _d(me, p) <= WALK_MPS * max(0.0, t - REACT_S):
return t, p
t += 0.25
end = _roll(bxy, vel, 6.0)
return REACT_S + _d(me, end) / WALK_MPS, end
def _cross_our_line(bxy, vel, ogx, asign, driven=False):
"""(t, y) where the ball's path crosses our goal line — or None if the
roll dies first or it isn't heading in. A DRIVEN ball (an opponent
within a stride, sustaining it — how both round-1 dribbled goals came)
doesn't decay: project at constant velocity instead."""
line_x = ogx + asign * 0.45
if vel[0] * (-asign) < 0.12:
return None
if bxy[0] * asign < line_x * asign: # already behind the line
return None
need = abs(line_x - bxy[0])
if driven:
t = need / abs(vel[0])
if t > 9.0:
return None
return t, bxy[1] + vel[1] * t
total = abs(vel[0]) * BALL_TAU_S # x-distance the roll can cover
if total <= need:
return None
frac = need / total
if frac >= 0.999:
return None
t = -BALL_TAU_S * math.log(1.0 - frac)
y = bxy[1] + vel[1] * BALL_TAU_S * frac
return t, y
# Radio voice. v3: the radio is a WORLD MODEL CHANNEL first and a
# personality second. Ordinary calls carry an honest ball fix — position
# and motion in plain language — exactly the callout a sighted teammate
# owes a blind one. Event lines (goals, falls) keep their fable voice.
LINES = {
"Tortoise": {
"kickoff": "Steady from the whistle — I've got our half.",
"goal_for": "The moral so far: patience scores.",
"goal_against": "A lesson, not a defeat. Reset and go again.",
"down": "I'm down — eight seconds. Hold the fort, Hare.",
"solo": "You rest — I'll carry us till you're up.",
},
"Hare": {
"kickoff": "Off at the whistle — first touch is mine!",
"goal_for": "Fast AND finished this time!",
"goal_against": "They won't outrun us twice. Again.",
"down": "Legs gone — eight seconds. Yours, Tortoise!",
"solo": "I've got both ends till you're back up.",
},
}
# short intent tails for the fix calls, per player, per situation
INTENTS = {
"Tortoise": {"take": "mine, slow and steady", "cover": "dropping goal-side",
"line": "I'll cut the line", "post": "I'm on the post",
"wedge": "push with me", "ram": "I'll take the bounce",
"outlet": "ahead for the break"},
"Hare": {"take": "mine — no naps", "cover": "dropping back",
"line": "racing it to the line", "post": "post covered",
"wedge": "heave with me", "ram": "on the bounce",
"outlet": "ahead for the break"},
}
# motion vocabulary: spoken by the sender, decoded by the receiver
MOTION_AT_OURS = "rolling at our net"
MOTION_AT_THEIRS = "rolling at their net"
MOTION_ACROSS = "rolling across"
MOTION_STILL = "near still"
_FIX_RE = re.compile(r"[Bb]all at ([+-]?\d+\.?\d*), ([+-]?\d+\.?\d*)")
def _motion_phrase(vel, asign):
speed = math.hypot(vel[0], vel[1])
if speed < 0.25:
return MOTION_STILL
fast = ", fast" if speed > 1.0 else ""
if vel[0] * (-asign) > 0.25:
return MOTION_AT_OURS + fast
if vel[0] * asign > 0.25:
return MOTION_AT_THEIRS + fast
return MOTION_ACROSS + fast
def _parse_fix(msg, asign):
"""Decode a teammate's ball call -> (xy, vel_estimate) or None."""
m = _FIX_RE.search(msg or "")
if not m:
return None
try:
xy = (float(m.group(1)), float(m.group(2)))
except ValueError:
return None
low = msg.lower()
mag = 1.3 if "fast" in low else 0.9
vel = (0.0, 0.0)
if MOTION_AT_OURS in low:
vel = (-asign * mag, 0.0)
elif MOTION_AT_THEIRS in low:
vel = (asign * mag, 0.0)
return xy, vel
def _parse_claim(msg):
"""The intent tail of a call is a role CLAIM. Map it to the job the
speaker has taken so the listener takes the complementary one."""
low = (msg or "").lower()
if "mine" in low or "racing it" in low or "no naps" in low:
return "ball"
if "cut the line" in low:
return "line"
if "post" in low:
return "post"
if "push with me" in low or "heave" in low:
return "wedge"
if "dropping" in low or "goal-side" in low or "ahead for the break" in low:
return "cover"
return None
class FablePlayer:
"""One robot's behaviour layer. number is the shirt (1 or 2)."""
def __init__(self, number):
self.number = number
self.name = "Tortoise" if number == 1 else "Hare"
self.attack_biased = (number == 2) # Hare wins the tie-breaks
self.episode_usage = {} # zero tokens, zero dollars
self.begin_episode()
# ------------------------------------------------------------ lifecycle
def begin_episode(self, log_dir=None):
self.t0_rem = None
self.t = 0.0
self.role = "attack" if self.attack_biased else "cover"
self.mate_xy = None
self.mate_seen_t = -1e9
self.mate_down_until = -1e9
self.self_down_said = False
self.kickoff_until = -1e9
self.kickoff_said = False
self.say_ok_t = -1e9
self.last_line = ""
self.score_prev = None
self.ball_mem = None # (xy, t) our OWN long memory, ~15 s
self.ball_mem_t = -1e9
self.fix_xy = None # teammate's radioed ball fix
self.fix_vel = (0.0, 0.0)
self.fix_t = -1e9
self.last_mate_msg = ""
self.mate_claim = None # the job the mate's last call claimed
self.mate_claim_t = -1e9
self.my_claim = None # the job my own last call claimed
self.my_claim_t = -1e9
# ---------------------------------------------------------------- radio
def _say(self, reply, key):
line = LINES[self.name].get(key, "")
if not line or line == self.last_line or self.t < self.say_ok_t:
return reply
reply["say"] = line
self.say_ok_t = self.t + SAY_GAP_S
self.last_line = line
return reply
CLAIM_OF_INTENT = {"take": "ball", "line": "line", "post": "post",
"wedge": "wedge", "cover": "cover", "ram": "cover",
"outlet": "cover"}
def _say_fix(self, reply, intent, bxy, vel, asign):
"""The v3 workhorse: an honest ball fix in plain language, with my
intent as the tail — the callout a sighted player owes a blind
teammate. In v4 the tail is also a binding role claim, so record
what I just committed to."""
if self.t < self.say_ok_t:
return reply
tail = INTENTS[self.name].get(intent) or INTENTS[self.name]["cover"]
line = (f"Ball at {bxy[0]:+.1f}, {bxy[1]:+.1f}, "
f"{_motion_phrase(vel, asign)} — {tail}.")[:120]
if line == self.last_line:
return reply
reply["say"] = line
self.say_ok_t = self.t + SAY_GAP_S
self.last_line = line
self.my_claim = self.CLAIM_OF_INTENT.get(intent)
self.my_claim_t = self.t
return reply
# ------------------------------------------------------------- helpers
def _safe_target(self, me, target, bxy):
"""A walk_to waypoint that will not barge through the ball: walk_to
A*-avoids robots but NOT the ball, and shoving the ball while
crossing our box is exactly how own goals happen. If the straight
leg passes within 0.65 m of the ball, detour perpendicular."""
if bxy is None:
return target
ax, ay = me
tx, ty = target
vx_, vy_ = tx - ax, ty - ay
L2 = vx_ * vx_ + vy_ * vy_
if L2 < 1e-9:
return target
u = ((bxy[0] - ax) * vx_ + (bxy[1] - ay) * vy_) / L2
if u <= 0.0 or u >= 1.0:
return target
px_, py_ = ax + u * vx_, ay + u * vy_
if _d((px_, py_), bxy) >= 0.65:
return target
L = math.sqrt(L2)
nx, ny = -vy_ / L, vx_ / L # unit normal
side = 1.0 if (bxy[0] - px_) * nx + (bxy[1] - py_) * ny < 0 else -1.0
wx = _clip(px_ + nx * side * 1.0, -PITCH_X + 0.4, PITCH_X - 0.4)
wy = _clip(py_ + ny * side * 1.0, -PITCH_Y + 0.4, PITCH_Y - 0.4)
return (wx, wy)
def _walk(self, me, target, bxy=None):
tx, ty = self._safe_target(me, target, bxy) if bxy else target
return {"skill": "walk_to", "target": [round(float(tx), 2),
round(float(ty), 2)]}
# ----------------------------------------------------------------- main
def decide(self, obs):
det = obs.get("detections") or {}
ball = det.get("ball")
me = obs["self"]["field_xy"]
you = obs["you"]
gx = float(you["attack_goal_xy"][0])
ogx = -gx # engine's defend_goal_xy is wrong for the home team
asign = 1.0 if gx > 0 else -1.0
score = obs.get("score") or {}
rem = float(obs.get("time_remaining_s", 0.0))
if self.t0_rem is None:
self.t0_rem = rem
self.t = self.t0_rem - rem
# -- events ---------------------------------------------------------
goal_line = None
if self.score_prev is not None and score:
if score.get("you", 0) > self.score_prev.get("you", 0):
goal_line = "goal_for"
elif score.get("them", 0) > self.score_prev.get("them", 0):
goal_line = "goal_against"
if score:
self.score_prev = dict(score)
mate_msg = obs.get("teammate_says") or ""
low_msg = mate_msg.lower()
if "down" in low_msg or "legs gone" in low_msg:
self.mate_down_until = self.t + FALL_OUT_S
if mate_msg and mate_msg != self.last_mate_msg:
self.last_mate_msg = mate_msg
fx = _parse_fix(mate_msg, asign)
if fx is not None:
self.fix_xy, self.fix_vel = fx
self.fix_t = self.t
# the intent tail is a binding role CLAIM (v4): honour it
self.mate_claim = _parse_claim(mate_msg)
self.mate_claim_t = self.t
mates = det.get("teammates") or []
if mates:
self.mate_xy = tuple(mates[0]["field_xy"])
self.mate_seen_t = self.t
# -- fallen ---------------------------------------------------------
if obs["self"].get("fallen"):
reply = {"skill": "hold"}
if not self.self_down_said:
self.self_down_said = True
self.say_ok_t = -1e9
self._say(reply, "down")
return reply
self.self_down_said = False
# -- ball memory (ours, longer than the SDK's 6 s) -------------------
bxy = tuple(ball["field_xy"]) if ball else None
bspeed = float(ball.get("speed_mps", 0.0)) if ball else 0.0
if ball is not None and float(ball.get("age_s", 9.0)) < 2.0:
self.ball_mem, self.ball_mem_t = bxy, self.t
# -- sight discipline. The camera is a 120-degree panoramic lens,
# not 360: a remembered ball OUTSIDE that cone is invisible and
# REAL — look at it before doing anything else. A remembered
# ball INSIDE the cone that still isn't seen is genuinely gone.
# (Both players once spun in blind sweeps with the ball 0.7 m
# behind them; a goal followed. Bearing is in the detection.)
if ball is not None and not ball.get("seen_now"):
brg = abs(float(ball.get("bearing_deg", 0.0)))
age_ = float(ball.get("age_s", 0.0))
if brg > 55.0 and age_ > 1.0:
reply = {"skill": "turn_to",
"target": [round(bxy[0], 2), round(bxy[1], 2)]}
return self._say(reply, goal_line) if goal_line else reply
if brg <= 55.0 and age_ > 1.5 and _d(me, bxy) < 2.5:
ball, bxy = None, None
# -- restart detection ----------------------------------------------
if (bxy is not None and _d(bxy, (0.0, 0.0)) < 0.4 and bspeed < 0.2
and 2.0 < abs(me[0]) < 3.0 and 0.7 < abs(me[1]) < 1.7):
if self.t > self.kickoff_until:
self.kickoff_said = False
self.kickoff_until = self.t + 4.0
kickoff_play = (self.t < self.kickoff_until and bxy is not None
and _d(bxy, (0.0, 0.0)) < 1.2)
if kickoff_play:
split = 0.5 if self.number == 1 else -0.5
reply = {"skill": "kick_toward", "target": [gx, split]}
if goal_line:
return self._say(reply, goal_line)
if not self.kickoff_said:
self.kickoff_said = True
return self._say(reply, "kickoff")
return reply
# -- ball unknown: use the TEAM's knowledge, not just mine. The
# teammate's radioed fix is often fresher than my own memory —
# round-1-to-5 telemetry showed players spinning blind for 6-12 s
# while the other player was WATCHING the ball roll in.
if ball is None:
# trust a fix for a full radio cycle (cadence is 10.2 s — a 5 s
# window left the blind player fixless half of every cycle),
# and roll it forward with its spoken motion
fix_age = self.t - self.fix_t
fix_ok = fix_age < 11.0 and self.fix_xy
# I am standing where the fix says and see nothing: the fix is
# stale — drop it rather than orbit a ghost (m22 @243: both
# players hunted the same dead coordinates while the real ball
# was scored at the other end)
if fix_ok and _d(me, self.fix_xy) < 1.2:
self.fix_t = -1e9
fix_ok = False
mem_ok = (self.t - self.ball_mem_t) < 15.0 and self.ball_mem
if fix_ok and (not mem_ok or self.fix_t >= self.ball_mem_t):
fx_, fy_ = _roll(self.fix_xy, self.fix_vel,
min(fix_age, 4.0))
fx_ = _clip(fx_, -PITCH_X + 0.4, PITCH_X - 0.4)
fy_ = _clip(fy_, -PITCH_Y + 0.4, PITCH_Y - 0.4)
# if the sender's intent tail says HE has the line/post,
# don't double onto it — go to the ball he is calling
low_fix = self.last_mate_msg.lower()
line_covered = ("cut the line" in low_fix
or "post" in low_fix)
if (self.fix_vel[0] * (-asign) > 0.25
and not line_covered):
# mate says it's rolling at OUR net: line first, look later
line_pt = (ogx + asign * 0.5,
_clip(fy_, -(GOAL_HALF_W - 0.1),
GOAL_HALF_W - 0.1))
if _d(me, line_pt) < 0.4:
reply = {"skill": "turn_to",
"target": [round(fx_, 2), round(fy_, 2)]}
else:
reply = self._walk(me, line_pt)
elif _d(me, (fx_, fy_)) > 1.4:
reply = self._walk(me, (fx_, fy_))
else:
reply = {"skill": "turn_to",
"target": [round(fx_, 2), round(fy_, 2)]}
return self._say(reply, goal_line) if goal_line else reply
if mem_ok:
mx, my_ = self.ball_mem
deep = asign * mx < -(PITCH_X - 3.0)
if deep and not self.attack_biased:
post = (ogx + asign * 0.55,
_clip(my_, -(GOAL_HALF_W - 0.15),
GOAL_HALF_W - 0.15))
if _d(me, post) > 0.5:
reply = self._walk(me, post)
else:
reply = {"skill": "turn_to",
"target": [round(mx, 2), round(my_, 2)]}
elif _d(me, (mx, my_)) > 1.4:
reply = self._walk(me, (mx, my_))
else:
reply = {"skill": "turn_to"}
else:
spot = ((0.0, 0.0) if self.attack_biased
else (ogx + asign * 1.35, 0.0))
reply = (self._walk(me, spot) if _d(me, spot) >
...[showing 0-24000 of 42267 chars. Read on with {"tool": "read", "path": "club/team.py", "offset": 24000}]
(0.0s)Thought for 36 words
I've spent most of my budget already, so I need to be efficient here. Rather than reading more of the file to locate the kickoff wedge code in team.py, I'm considering a targeted replace approach instead.
The kickoff fall is the target — t=4.3 in three straight matches is deterministic self-tripping. I need to see the kickoff wedge code, which is past the first 24 KB. Reading the rest of team.py.
Readclub/team.py
The league answered18,354 characters
[read club/team.py@24000] 1.0
else {"skill": "turn_to"})
return self._say(reply, goal_line) if goal_line else reply
age = float(ball.get("age_s", 0.0))
if age > 3.0:
bspeed = 0.0
vel = ball.get("velocity_mps") or [0.0, 0.0]
if age > 3.0:
vel = [0.0, 0.0]
bx, by = bxy
# -- shared state ---------------------------------------------------
opps = det.get("opponents") or []
mate_down = self.t < self.mate_down_until
mate_known = (self.t - self.mate_seen_t) < 6.0 and self.mate_xy
# v4: BOTH time-to-ball estimates go through the SAME capped formula.
# The old asymmetry (mine via _meet with its 6 s cap and reaction
# penalty, the mate's via raw distance) made both players reach the
# same wrong belief at once — both "nearest" at long range (m22
# @16.5: both dug the wall ball, nobody on the post) and both
# "second" close in (m22 @412.1: both plugged the same post while
# the ball was walked past them).
my_t = _meet(me, bxy, vel)[0]
if mate_down:
mate_t = 1e9
elif mate_known:
mate_t = _meet(self.mate_xy, bxy, vel)[0]
else:
mate_t = my_t + (0.001 if not self.attack_biased else -0.001)
# a radio claim is BINDING — but only while the WORLD still matches
# it: the claim rode in with a ball fix, so it is valid only while
# the ball remains near where the claimer said it was. Wall-time
# freshness alone froze us against swarms (three straight practice
# losses, territory ~100-20 against): the ball's situation turns
# over every 2-3 s there, and honouring a 6 s-old "mine" meant
# backing off loose balls nobody owned any more.
claim_fresh = ((self.t - self.mate_claim_t) < 5.0
and self.fix_xy is not None
and _d(bxy, self.fix_xy) < 2.5)
bias = -0.45 if self.role == "attack" else 0.45
if claim_fresh and self.mate_claim == "ball" and _d(me, bxy) > 1.2:
attack = False
elif claim_fresh and self.mate_claim in ("cover", "line", "post"):
attack = True
elif abs(my_t - mate_t) < 0.25:
attack = self.attack_biased
else:
attack = (my_t + bias) < mate_t
role_was = self.role
self.role = "attack" if attack else "cover"
i_am_near = my_t <= mate_t
if claim_fresh and self.mate_claim == "ball" and _d(me, bxy) > 1.2:
i_am_near = False # he took the ball: I take the post
elif claim_fresh and self.mate_claim == "post":
i_am_near = True # he took the post: I dig
our_mouth = (asign * bx < -(PITCH_X - 1.6)
and abs(by) <= GOAL_HALF_W + 0.4)
our_corner = (asign * bx < -CORNER_X and abs(by) > CORNER_Y)
their_corner = (asign * bx > CORNER_X and abs(by) > CORNER_Y)
# threat = a ball that will actually arrive at our line soon, in our
# half. Scoped tight: an over-eager version of this put the whole
# team in permanent retreat and ceded the entire attacking third.
driven = any(_d(o["field_xy"], bxy) < 1.0 for o in opps)
threat = None
if bspeed > 0.45 and asign * bx < 0.0:
threat = _cross_our_line(bxy, vel, ogx, asign, driven=driven)
# horizon 6.5 s: a drive from midfield takes ~5-6 s to arrive,
# and the old 5.0 s gate threw away exactly that case (traced to
# concessions in m07 and m12)
if threat is not None and threat[0] > 6.5:
threat = None
say_key = None
# ==== OUR MOUTH: clear along the end wall / plug the near post =====
if our_mouth:
if i_am_near and not (mate_down and _d(me, bxy) > 1.6):
wing = 1.0 if by >= 0 else -1.0
reply = {"skill": "kick_toward",
"target": [0.0, wing * (PITCH_Y - 0.6)]}
else:
post_y = (GOAL_HALF_W - 0.12) * (1.0 if by >= 0 else -1.0)
post = (ogx + asign * 0.5, post_y)
if _d(me, post) < 0.45:
reply = {"skill": "turn_to",
"target": [round(bx, 2), round(by, 2)]}
else:
reply = self._walk(me, post, bxy)
say_key = "post"
# ==== OUR CORNER: dig along the side wall / plug the post ==========
elif our_corner:
if i_am_near and not (mate_down and _d(me, bxy) > 1.6):
wing = 1.0 if by >= 0 else -1.0
reply = {"skill": "kick_toward",
"target": [0.0, wing * (PITCH_Y - 0.6)]}
else:
post_y = (GOAL_HALF_W - 0.10) * (1.0 if by >= 0 else -1.0)
post = (ogx + asign * 0.5, post_y)
if _d(me, post) < 0.45:
reply = {"skill": "turn_to",
"target": [round(bx, 2), round(by, 2)]}
else:
reply = self._walk(me, post, bxy)
say_key = "post"
# ==== THREAT: the ball's roll crosses our line — cut it off ========
elif threat is not None:
t_cross, y_cross = threat
y_cross = _clip(y_cross, -(GOAL_HALF_W - 0.10), GOAL_HALF_W - 0.10)
line_pt = (ogx + asign * 0.5, y_cross)
# full stride on the line race (walk_to bursts ~0.85-1.0 aligned).
# Give up the line only when GROSSLY hopeless (>4.5 s late —
# drives stall between shoves, so moderately late still blocks
# the second phase). The old 2.5 s clause produced
# chase-from-behind concessions (m07 110.3/121.2, m12 525.3);
# NO clause at all produced passive pinning (round-6 practice,
# territory 102-22 against). 4.5 s is the measured middle.
my_line = _d(me, line_pt) / 0.85
mate_line = (_d(self.mate_xy, line_pt) / 0.85
if mate_known and not mate_down else 1e9)
t_meet, meet_pt = _meet(me, bxy, vel)
# claim hysteresis: whoever ANNOUNCED the line keeps it for a
# few seconds — two players flip-flopping the line job between
# slots is how nobody ends up on it
i_claimed_line = (self.my_claim == "line"
and (self.t - self.my_claim_t) < 4.0)
mate_claimed_line = (claim_fresh and self.mate_claim == "line")
if ((my_line <= mate_line or i_claimed_line)
and not mate_claimed_line and my_line < t_cross + 4.5):
if t_cross < 3.0:
# imminent: body ON the crossing point
if _d(me, line_pt) < 0.4:
reply = {"skill": "turn_to",
"target": [round(bx, 2), round(by, 2)]}
else:
reply = self._walk(me, line_pt, bxy)
else:
# far threat: JOCKEY goal-side on the lane, not a statue
# on the line — close enough (2.2 m) to convert into the
# wedge the moment the drive stalls. Statue-mode on far
# threats pinned us 91-15 on territory in practice.
og = (ogx, 0.0)
lx, ly = og[0] - bx, og[1] - by
n = math.hypot(lx, ly) or 1.0
jx = _clip(bx + lx / n * 2.2, -PITCH_X + 0.6,
PITCH_X - 0.6)
jy = _clip(by + ly / n * 2.2, -PITCH_Y + 0.6,
PITCH_Y - 0.6)
if _d(me, (jx, jy)) < 0.4:
reply = {"skill": "turn_to",
"target": [round(bx, 2), round(by, 2)]}
else:
reply = self._walk(me, (jx, jy), bxy)
say_key = "line"
elif t_meet < t_cross:
reply = {"skill": "go_to_ball",
"lead_s": round(_clip(t_meet, 0.0, 2.0), 2)}
else:
reply = {"skill": "go_to_ball"}
elif attack:
reply = self._on_ball(me, bxy, bspeed, vel, ball, opps, gx, asign)
else:
reply, say_key = self._off_ball(me, bxy, bspeed, vel, opps, ogx,
gx, asign, score, rem, mate_down,
my_t, mate_t, their_corner)
# -- separation: never shoulder my own teammate — but NEVER evict a
# defender from a line/post job (plug and line-racer stand close
# by design; shoving one aside opens the exact gap they plug)
if (not attack and say_key not in ("line", "post")
and mates and _d(me, self.mate_xy) < 1.1
and _d(me, bxy) > 1.5):
ax_, ay_ = me[0] - self.mate_xy[0], me[1] - self.mate_xy[1]
n = math.hypot(ax_, ay_) or 1.0
reply = self._walk(me, (_clip(me[0] + ax_ / n * 1.2,
-PITCH_X + 0.5, PITCH_X - 0.5),
_clip(me[1] + ay_ / n * 1.2,
-PITCH_Y + 0.5, PITCH_Y - 0.5)))
# -- blocked far from the ball: sidestep out of the shove -----------
if obs["self"].get("blocked") and _d(me, bxy) > 1.15:
ux, uy = bx - me[0], by - me[1]
n = math.hypot(ux, uy) or 1.0
side = 1.0 if me[1] > 0 else -1.0
reply = self._walk(me, (_clip(me[0] - uy / n * 0.9 * side,
-PITCH_X + 0.5, PITCH_X - 0.5),
_clip(me[1] + ux / n * 0.9 * side,
-PITCH_Y + 0.5, PITCH_Y - 0.5)))
tgt = reply.get("target")
if isinstance(tgt, list):
reply["target"] = [round(float(tgt[0]), 2), round(float(tgt[1]), 2)]
# -- radio: event lines keep their fable voice; EVERY other slot the
# cooldown allows carries an honest ball fix + my intent. The
# receiver decodes it — the radio is the team's shared eyes.
if goal_line:
return self._say(reply, goal_line)
if mate_down and "down" not in self.last_line:
return self._say(reply, "solo")
# broadcast on a slightly stale ball too (age < 2.5): a strict
# seen_now gate once turned a slipped cooldown slot into a 12 s
# radio silence while the ball crossed the pitch (m22 @140)
if ball is not None and float(ball.get("age_s", 9.0)) < 2.5:
intent = say_key or ("take" if attack else "cover")
return self._say_fix(reply, intent, bxy, vel, asign)
return reply
# -------------------------------------------------- on the ball (duel)
def _on_ball(self, me, bxy, bspeed, vel, ball, opps, gx, asign):
bx, by = bxy
goal = (gx, 0.0)
d_goal = _d(bxy, goal)
# their mouth band: ram it straight through
if asign * bx > PITCH_X - 1.6 and abs(by) <= GOAL_HALF_W + 0.3:
return {"skill": "kick_toward",
"target": [gx, _clip(by, -1.1, 1.1)]}
# their corner: dig it toward the mouth along the end wall
if asign * bx > CORNER_X and abs(by) > CORNER_Y:
return {"skill": "kick_toward",
"target": [gx, (1.0 if by >= 0 else -1.0)]}
# shooting range: place the shot at the corner the keeper isn't in
if d_goal < 3.4:
aim_y = _clip(by * 0.3, -0.9, 0.9)
keeper, best = None, 2.6
for o in opps:
dk = _d(o["field_xy"], goal)
if dk < best:
best, keeper = dk, o
if keeper is not None:
# 0.6 margin: the ball is 0.35 m — tighter aims clip the post
aim_y = (GOAL_HALF_W - 0.6) * (-1.0 if keeper["field_xy"][1] >= 0
else 1.0)
return {"skill": "kick_toward", "target": [gx, aim_y]}
# blocked lane in the middle third: knock it into the open channel
if -2.3 < asign * bx < 3.6 and bspeed < 0.6:
blockers, traffic = 0, {1.0: 0, -1.0: 0}
for o in opps:
ox, oy = o["field_xy"]
if asign * (ox - bx) > 0.3 and asign * ox < asign * gx:
if abs(oy - by) < 1.2:
blockers += 1
traffic[1.0 if oy >= 0 else -1.0] += 1
if blockers >= 1:
side = 1.0 if traffic[1.0] <= traffic[-1.0] else -1.0
return {"skill": "kick_toward",
"target": [_clip(bx + asign * 3.5, -5.9, 5.9),
side * 2.7]}
# open field: intercept at the measured meet time, executed through
# the CLOSED-LOOP skill (go_to_ball re-solves its lead every control
# step; an open-loop walk_to a predicted point stops dead and loses
# the ball — measured: it ceded the whole attacking third). Never
# lead a ball already rolling goalward with me behind it (that
# overrun cost -5 m of contact advance on founding night, and two
# own goals in round 1).
t_meet, meet_pt = _meet(me, bxy, vel)
lead = 0.0
if bspeed > 0.35 and _d(me, bxy) > 2.0:
# the skill projects linearly (no decay), so cap the horizon to
# keep its aim error inside a body width
lead = _clip(t_meet, 0.3, 1.6)
ux, uy = me[0] - bx, me[1] - by
n = math.hypot(ux, uy) or 1.0
if (vel[0] * ux + vel[1] * uy) / n > 0.15:
lead = min(lead, 0.4)
if vel[0] * asign > 0.2:
lead = 0.0
if lead > 0.0:
return {"skill": "go_to_ball", "lead_s": round(lead, 2)}
return {"skill": "go_to_ball"}
# ----------------------------------------------- off the ball (free)
def _off_ball(self, me, bxy, bspeed, vel, opps, ogx, gx, asign, score,
rem, mate_down, my_t, mate_t, their_corner):
bx, by = bxy
# their corner with the ball slow: the ram is arming. Collect the
# eject from the MIDFIELD side, not the corner's doorstep — round 1
# scored us two corner goals with the digger alone, and the one
# time both players committed deep, a punt sailed past them both
# for a goal. Depth discipline pays better than doorstep poaching.
if their_corner and bspeed < 0.5:
spot = (asign * 2.3, (1.0 if by >= 0 else -1.0) * 1.3)
if _d(me, spot) < 0.5:
return ({"skill": "turn_to",
"target": [round(bx, 2), round(by, 2)]}, "ram")
return (self._walk(me, spot, bxy), "ram")
# clear and present danger: engage and clear (skills aim goalward).
# In OUR half a contested ball is a WEDGE call — founding-night
# doctrine that drifted out of the code: one dueler + one backstop
# loses the shove war to any two-body press (re-measured round 6:
# the anchor once hovered 5 cm outside the old 2.3 m radius and
# walked away while his mate fought 1v2).
near_our_goal = asign * bx < -(PITCH_X - 2.6)
contested = any(_d(o["field_xy"], bxy) < 1.0 for o in opps)
reach = 3.2 if (contested and asign * bx < 0.5) else 2.3
if _d(me, bxy) < reach or (near_our_goal and (mate_down
or mate_t > my_t + 1.2)):
split = 0.8 if self.number == 1 else -0.8
if contested:
return ({"skill": "kick_toward", "target": [gx, split]},
"wedge")
return ({"skill": "go_to_ball"}, None)
# we lost round 1 from 6-5 up with 43 s left: any lead in the final
# stretch pulls the anchor onto the keeper's arc
lead_n = (score.get("you", 0) - score.get("them", 0)) if score else 0
cautious = (lead_n >= 2 and rem < 120.0) or (lead_n >= 1 and rem < 70.0)
# free ball in their half: OUTLET ahead of the play, depth-capped
if asign * bx > 0.5 and not cautious:
out_x = _clip(bx + asign * 2.3, -PITCH_X + 0.8, PITCH_X - 0.8)
if asign * out_x > 2.0:
out_x = asign * 2.0
return (self._walk(me, (out_x, _clip(by * 0.4, -2.2, 2.2)), bxy),
None)
# free ball in our half: BACKSTOP on the ball-to-goal line, shifted
# a stride toward mid-pitch, out of the attacker's lane
if not cautious:
og = (ogx, 0.0)
lx, ly = og[0] - bx, og[1] - by
n = math.hypot(lx, ly) or 1.0
px_, py_ = -ly / n, lx / n
if abs(by + py_ * 0.9) > abs(by - py_ * 0.9):
px_, py_ = -px_, -py_
tgt = (_clip(bx + lx / n * 2.3 + px_ * 0.9,
-PITCH_X + 0.7, PITCH_X - 0.7),
_clip(by + ly / n * 2.3 + py_ * 0.9,
-PITCH_Y + 0.7, PITCH_Y - 0.7))
return (self._walk(me, tgt, bxy), None)
# protecting a lead late: keeper's arc between ball and our net
og = (ogx, 0.0)
ux, uy = bx - og[0], by - og[1]
n = math.hypot(ux, uy) or 1.0
hx = _clip(og[0] + ux / n * 1.35, -PITCH_X + 0.6, PITCH_X - 0.6)
hy = _clip(og[1] + uy / n * 1.35, -(GOAL_HALF_W - 0.15),
GOAL_HALF_W - 0.15)
if _d(me, (hx, hy)) < 0.35:
return ({"skill": "turn_to", "target": [round(bx, 2),
round(by, 2)]}, None)
return (self._walk(me, (hx, hy), bxy), None)
def build_team(ctx):
"""The engine's only entry point. ctx brings team.yaml as ctx["config"];
this club's players are code, so nothing in it is needed here."""
return {"players": [FablePlayer(1), FablePlayer(2)], "manager": None}
...[showing 24000-42267 of 42267 chars — end of file]
(0.0s)Thought for 83 words
Budget's tight—only $0.70 left after spending $1.80. I still need to locate the kickoff wedge code in team.py, since the kickoff at t=4.3 consistently trips up sprint-speed kick_toward across three matches, but each additional read costs money so I need to be decisive about where to look next.
I've already covered 0-24k and 24k-48k of the 41KB file, but the section seems truncated—the kickoff code might be hiding right around there. I'll try reading at offset 36000 to catch what I might've missed.
Budget is tight ($0.70 left), so straight to the point: I need the kickoff-wedge block. It's likely further into the file.
Readclub/team.py
The league answered6,354 characters
[read club/team.py@36000] per = dk, o
if keeper is not None:
# 0.6 margin: the ball is 0.35 m — tighter aims clip the post
aim_y = (GOAL_HALF_W - 0.6) * (-1.0 if keeper["field_xy"][1] >= 0
else 1.0)
return {"skill": "kick_toward", "target": [gx, aim_y]}
# blocked lane in the middle third: knock it into the open channel
if -2.3 < asign * bx < 3.6 and bspeed < 0.6:
blockers, traffic = 0, {1.0: 0, -1.0: 0}
for o in opps:
ox, oy = o["field_xy"]
if asign * (ox - bx) > 0.3 and asign * ox < asign * gx:
if abs(oy - by) < 1.2:
blockers += 1
traffic[1.0 if oy >= 0 else -1.0] += 1
if blockers >= 1:
side = 1.0 if traffic[1.0] <= traffic[-1.0] else -1.0
return {"skill": "kick_toward",
"target": [_clip(bx + asign * 3.5, -5.9, 5.9),
side * 2.7]}
# open field: intercept at the measured meet time, executed through
# the CLOSED-LOOP skill (go_to_ball re-solves its lead every control
# step; an open-loop walk_to a predicted point stops dead and loses
# the ball — measured: it ceded the whole attacking third). Never
# lead a ball already rolling goalward with me behind it (that
# overrun cost -5 m of contact advance on founding night, and two
# own goals in round 1).
t_meet, meet_pt = _meet(me, bxy, vel)
lead = 0.0
if bspeed > 0.35 and _d(me, bxy) > 2.0:
# the skill projects linearly (no decay), so cap the horizon to
# keep its aim error inside a body width
lead = _clip(t_meet, 0.3, 1.6)
ux, uy = me[0] - bx, me[1] - by
n = math.hypot(ux, uy) or 1.0
if (vel[0] * ux + vel[1] * uy) / n > 0.15:
lead = min(lead, 0.4)
if vel[0] * asign > 0.2:
lead = 0.0
if lead > 0.0:
return {"skill": "go_to_ball", "lead_s": round(lead, 2)}
return {"skill": "go_to_ball"}
# ----------------------------------------------- off the ball (free)
def _off_ball(self, me, bxy, bspeed, vel, opps, ogx, gx, asign, score,
rem, mate_down, my_t, mate_t, their_corner):
bx, by = bxy
# their corner with the ball slow: the ram is arming. Collect the
# eject from the MIDFIELD side, not the corner's doorstep — round 1
# scored us two corner goals with the digger alone, and the one
# time both players committed deep, a punt sailed past them both
# for a goal. Depth discipline pays better than doorstep poaching.
if their_corner and bspeed < 0.5:
spot = (asign * 2.3, (1.0 if by >= 0 else -1.0) * 1.3)
if _d(me, spot) < 0.5:
return ({"skill": "turn_to",
"target": [round(bx, 2), round(by, 2)]}, "ram")
return (self._walk(me, spot, bxy), "ram")
# clear and present danger: engage and clear (skills aim goalward).
# In OUR half a contested ball is a WEDGE call — founding-night
# doctrine that drifted out of the code: one dueler + one backstop
# loses the shove war to any two-body press (re-measured round 6:
# the anchor once hovered 5 cm outside the old 2.3 m radius and
# walked away while his mate fought 1v2).
near_our_goal = asign * bx < -(PITCH_X - 2.6)
contested = any(_d(o["field_xy"], bxy) < 1.0 for o in opps)
reach = 3.2 if (contested and asign * bx < 0.5) else 2.3
if _d(me, bxy) < reach or (near_our_goal and (mate_down
or mate_t > my_t + 1.2)):
split = 0.8 if self.number == 1 else -0.8
if contested:
return ({"skill": "kick_toward", "target": [gx, split]},
"wedge")
return ({"skill": "go_to_ball"}, None)
# we lost round 1 from 6-5 up with 43 s left: any lead in the final
# stretch pulls the anchor onto the keeper's arc
lead_n = (score.get("you", 0) - score.get("them", 0)) if score else 0
cautious = (lead_n >= 2 and rem < 120.0) or (lead_n >= 1 and rem < 70.0)
# free ball in their half: OUTLET ahead of the play, depth-capped
if asign * bx > 0.5 and not cautious:
out_x = _clip(bx + asign * 2.3, -PITCH_X + 0.8, PITCH_X - 0.8)
if asign * out_x > 2.0:
out_x = asign * 2.0
return (self._walk(me, (out_x, _clip(by * 0.4, -2.2, 2.2)), bxy),
None)
# free ball in our half: BACKSTOP on the ball-to-goal line, shifted
# a stride toward mid-pitch, out of the attacker's lane
if not cautious:
og = (ogx, 0.0)
lx, ly = og[0] - bx, og[1] - by
n = math.hypot(lx, ly) or 1.0
px_, py_ = -ly / n, lx / n
if abs(by + py_ * 0.9) > abs(by - py_ * 0.9):
px_, py_ = -px_, -py_
tgt = (_clip(bx + lx / n * 2.3 + px_ * 0.9,
-PITCH_X + 0.7, PITCH_X - 0.7),
_clip(by + ly / n * 2.3 + py_ * 0.9,
-PITCH_Y + 0.7, PITCH_Y - 0.7))
return (self._walk(me, tgt, bxy), None)
# protecting a lead late: keeper's arc between ball and our net
og = (ogx, 0.0)
ux, uy = bx - og[0], by - og[1]
n = math.hypot(ux, uy) or 1.0
hx = _clip(og[0] + ux / n * 1.35, -PITCH_X + 0.6, PITCH_X - 0.6)
hy = _clip(og[1] + uy / n * 1.35, -(GOAL_HALF_W - 0.15),
GOAL_HALF_W - 0.15)
if _d(me, (hx, hy)) < 0.35:
return ({"skill": "turn_to", "target": [round(bx, 2),
round(by, 2)]}, None)
return (self._walk(me, (hx, hy), bxy), None)
def build_team(ctx):
"""The engine's only entry point. ctx brings team.yaml as ctx["config"];
this club's players are code, so nothing in it is needed here."""
return {"players": [FablePlayer(1), FablePlayer(2)], "manager": None}
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(0.0s)The league answered31 characters
BUDGET EXHAUSTED — session over
Session over. Everything the club changed was committed to its own public repository.