SirStone
974528d5cf
Gun evaluation previously required a full end-to-end battle (Java server + battle runner + websocket IPC to 2 bot processes, 50 rounds, ~3.4 min) and yielded only ~300-900 REAL shots across 13 guns -- far too few to rank guns, which is why tuning needed many repetitions. VirtualTracker is already a pure function of (WorldState stream, gun list); the only reason it needed Java was where WorldState came from. So the range replays a seq[WorldState] through the SAME tracker: offline and online scores are the same metric by construction, not an approximation. ACCEPTANCE TEST (the point of the whole thing): record one live round, replay it offline, compare per-gun virtual hit rates. 12/12 deterministic guns match EXACTLY, reproduced twice. Tsetlin is compared separately because tmLearnOne calls rand(). Getting to 12/12 exposed two real ordering quirks in the live loop: run() calls go() before the aim/fire block, so tickBullets resolves against the NEXT tick's scan while the prediction used the previous one; and if the target dies during that go() the final tick's spawn+resolution is skipped entirely. The recorder emits an end marker for the second case. The 5th (selected-gun) predict call was verified to be a no-op. Measured cost: 8 fixtures (1770 ticks, ~92k virtual bullets, 13 guns) replay in 2.9 s, ~32k virtual bullets/s -- roughly 70x faster and 100x more samples than a live gauntlet. Also adds a per-tick WorldState recorder behind const RecordWorldState (default off, mirrors the ShotLog idiom) which records the state the bot ACTUALLY builds, staleness included, rather than true positions -- recording the latter would hand the guns perfect information and produce flattering scores. 9 new guard checks (33 total, all passing), including fixture round-trip, replay determinism, stationary->HeadOn 100%, constant-velocity->Linear>HeadOn, and the energy-threshold turner crossing at t=41.
22 lines
651 B
Nim
22 lines
651 B
Nim
## Task 2: emit the synthetic trajectory fixtures to tools/fixtures/ as JSONL.
|
|
## Run with:
|
|
## nim c -r common_libs/tests/gen_synthetic_fixtures.nim
|
|
## Deterministic: the random-walk fixture is seeded.
|
|
|
|
import std/[os, strformat]
|
|
import gun_harness/offline_range
|
|
|
|
const outDir = currentSourcePath().parentDir.parentDir.parentDir / "tools" / "fixtures"
|
|
|
|
proc main() =
|
|
createDir(outDir)
|
|
for name in SyntheticFixtureNames:
|
|
let fx = synthesizeByName(name)
|
|
let path = outDir / (name & ".jsonl")
|
|
saveFixture(path, fx)
|
|
echo fmt"wrote {path} ({fx.states.len} ticks, source={fx.meta.source})"
|
|
echo "done."
|
|
|
|
when isMainModule:
|
|
main()
|