feat(course): audit fixes and twelve extensions (Modules 7b, 12, 13)
Audit pass: - Frame rule counts frames since the last move, so every step lasts exactly movesEvery(score) frames, also right after a speed-up - clampTime + MAX_GAP_MS: a hidden tab no longer replays the whole gap - Pong Restart keeps held keys - Fact corrections (mulberry32 output coverage, Haskell IO, uniform) - New fixture cases from a mutation analysis Extensions (all three tracks, shared fixtures, course text): - Turn queue (Exercise 10.6), persisted high score (10.7), replay viewer (10.8), play() end-to-end helper (9.5) - Optional State (4.7) and optional Module 7b, stack-safe IO - Module 12, property-based testing with generators, shrinking, invariants and a model-based oracle - Module 13, Conway's Life with a Click event - JS type checking via jsconfig, JSDoc and types.d.ts - Maintainer tools: scripts/mutate.mjs, scripts/typecheck-js.sh, Playwright end-to-end suite (e2e/, scripts/e2e.sh) Docs: docs/contract.md is the canonical contract; specs and build log under docs/superpowers. Verified: JS 728, Scala 689, F# 691 unit tests; stubs and progression M01-M13 and M07b; 176 end-to-end tests on Chromium and WebKit. Co-Authored-By: Claude Fable 5.2 <noreply@anthropic.com>
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@@ -1,10 +1,18 @@
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package snake
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/**
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* m10: a session wraps the game with the best score so far. GameState, update and view do not know about it.
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* `improved` says whether the action that produced this session raised the best, which is when it must be saved.
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*/
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final case class Session(game: GameState, best: Int, improved: Boolean)
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/** m09 app: the whole game wired together as values: streams of actions in, a stream of drawings out. */
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object App:
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val TICK_MS: Long = 150
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val FRAME_MS: Long = 25
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// m10: the longest step of time the game accepts at once; a longer silence (a background tab) counts as this much.
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val MAX_GAP_MS: Long = 250
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// Everything that can happen to the game: a Tick every TICK_MS, and an action for each bound key.
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lazy val classicActions: Stream[Action] =
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@@ -20,6 +28,36 @@ object App:
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def render(state: GameState): IO[Unit] = IO.drawScene(View.view(state))
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// The whole program as a value: get a seed, then turn the stream of states into a stream of drawings.
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// m10: one action for the session: step the game, then compare the best before with the best after.
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def sessionUpdate(session: Session, action: Action): Session =
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val game = Game.update(session.game, action)
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val best = math.max(session.best, game.score)
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Session(game, best, improved = best > session.best)
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// The same running fold as `states`, one level up.
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def sessions(seed: Long, best: Int, actions: Stream[Action]): Stream[Session] =
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val s0 = Session(Spawn.newGame(seed), best, improved = false)
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actions.scan(s0)(sessionUpdate).startWith(s0)
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// The game's picture with the best score at the top right, level with the score on the left.
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def sessionView(session: Session): Scene =
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View.view(session.game) :+
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Shape.Text(session.game.width * View.CELL - 6, 18, s"Best: ${session.best}", "#ffffff", 16, "right")
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// Draw, and save the best only on the action that raised it.
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def renderSession(session: Session): IO[Unit] =
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if session.improved then IO.sequence(List(IO.drawScene(sessionView(session)), IO.saveBest(session.best)))
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else IO.drawScene(sessionView(session))
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// The whole program as a value: get a seed, then the stored best, then turn the stream of sessions into a stream
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// of drawings. clampTime wraps the whole stream, so everything inside it sees the clamped clock.
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// Nothing runs here; Runtime interprets it.
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lazy val main: IO[Stream[IO[Unit]]] = IO.randomSeed.map(seed => states(seed, speedActions).map(render))
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lazy val main: IO[Stream[IO[Unit]]] =
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IO.randomSeed.flatMap(seed =>
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IO.loadBest.map(best => sessions(seed, best, speedActions).map(renderSession).clampTime(MAX_GAP_MS))
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)
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// m09: the whole program in one equality. For each drawing that `main` emits while fed `events`, the ops it
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// performs, answered by the pure interpreter (`seed` for RandomSeed, and from m10 `best` for LoadBest).
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def play(main: IO[Stream[IO[Unit]]], seed: Long, events: List[Event], best: Int = 0): List[List[Op]] =
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IO.trace(main, seed, best).result.run(events).map(io => IO.trace(io, seed, best).ops)
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