Remove benchmark application
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@ -1,91 +0,0 @@
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package lila.benchmark
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import annotation.tailrec
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import com.google.caliper.Param
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import ornicar.scalalib.OrnicarValidation
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import lila.system._
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import lila.chess.{ Game, Pos, Color, White, Black, PromotableRole, Queen }
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import lila.chess.Pos._
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// a caliper benchmark is a class that extends com.google.caliper.Benchmark
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// the SimpleScalaBenchmark trait does it and also adds some convenience functionality
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class Benchmark extends SimpleScalaBenchmark {
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@Param(Array("100"))
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val length: Int = 0
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def playMove(
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game: Game,
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orig: Pos,
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dest: Pos,
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promotion: PromotableRole = Queen): Valid[Game] =
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game.apply(orig, dest, promotion) map (_._1)
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def timeChessImmortal(reps: Int) = {
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def playMoves(moves: (Pos, Pos)*): Valid[Game] = {
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val game = moves.foldLeft(success(Game()): Valid[Game]) {
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(vg, move) ⇒
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vg flatMap { g ⇒
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// will be called to pass as playable squares to the client
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g.situation.destinations
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playMove(g, move._1, move._2)
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}
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}
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if (game.isFailure) throw new RuntimeException("Failure!")
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game
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}
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repeat(reps) {
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playMoves(E2 -> E4, D7 -> D5, E4 -> D5, D8 -> D5, B1 -> C3, D5 -> A5, D2 -> D4, C7 -> C6, G1 -> F3, C8 -> G4, C1 -> F4, E7 -> E6, H2 -> H3, G4 -> F3, D1 -> F3, F8 -> B4, F1 -> E2, B8 -> D7, A2 -> A3, E8 -> C8, A3 -> B4, A5 -> A1, E1 -> D2, A1 -> H1, F3 -> C6, B7 -> C6, E2 -> A6)
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}
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}
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def timeSystemImmortal(reps: Int) = {
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import model._
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import scala.util.Random
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val env = SystemEnv()
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val repo = env.gameRepo
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val server = env.server
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def move(game: DbGame, m: String = "d2 d4") = server.playMove(game fullIdOf White, m).unsafePerformIO
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val moves = List("e2 e4", "d7 d5", "e4 d5", "d8 d5", "b1 c3", "d5 a5", "d2 d4", "c7 c6", "g1 f3", "c8 g4", "c1 f4", "e7 e6", "h2 h3", "g4 f3", "d1 f3", "f8 b4", "f1 e2", "b8 d7", "a2 a3", "e8 c8", "a3 b4", "a5 a1", "e1 d2", "a1 h1", "f3 c6", "b7 c6", "e2 a6")
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def play(game: DbGame) = for (m ← moves) yield move(game, m)
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def randomString(len: Int) = List.fill(len)(randomChar) mkString
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def randomChar = (Random.nextInt(25) + 97).toChar
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def newDbPlayer(color: Color, ps: String) = DbPlayer(
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id = color.name take 4,
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color = color,
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ps = ps,
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aiLevel = None,
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isWinner = None,
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evts = "0s|1Msystem White creates the game|2Msystem Black joins the game",
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elo = Some(1280)
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)
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val white = newDbPlayer(White, "ip ar jp bn kp cb lp dq mp ek np fb op gn pp hr")
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val black = newDbPlayer(Black, "Wp 4r Xp 5n Yp 6b Zp 7q 0p 8k 1p 9b 2p !n 3p ?r")
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repeat(reps) {
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val game = DbGame(
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id = randomString(8),
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whitePlayer = white.copy(id = randomString(4)),
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blackPlayer = black.copy(id = randomString(4)),
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pgn = "",
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status = Created,
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turns = 0,
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clock = None,
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lastMove = None
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)
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repo insert game
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val result = sequenceValid(play(game))
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if (result.isFailure) throw new RuntimeException("Failure!")
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result
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}
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}
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}
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@ -1,15 +0,0 @@
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package lila.benchmark
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import com.google.caliper.{Runner => CaliperRunner}
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object Runner {
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// main method for IDEs, from the CLI you can also run the caliper Runner directly
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// or simply use SBTs "run" action
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def main(args: Array[String]) {
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// we simply pass in the CLI args,
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// we could of course also just pass hardcoded arguments to the caliper Runner
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CaliperRunner.main(classOf[Benchmark], args: _*)
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}
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}
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package lila.benchmark
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import com.google.caliper.SimpleBenchmark
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trait SimpleScalaBenchmark extends SimpleBenchmark {
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// helper method to keep the actual benchmarking methods a bit cleaner
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// your code snippet should always return a value that cannot be "optimized away"
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def repeat[@specialized A](reps: Int)(snippet: => A) = {
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val zero = 0.asInstanceOf[A] // looks wierd but does what it should: init w/ default value in a fully generic way
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var i = 0
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var result = zero
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while (i < reps) {
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val res = snippet
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if (res != zero) result = res // make result depend on the benchmarking snippet result
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i = i + 1
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}
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result
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}
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}
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@ -25,10 +25,6 @@ trait Dependencies {
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val scalaTime = "org.scala-tools.time" %% "time" % "0.5"
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val slf4jNop = "org.slf4j" % "slf4j-nop" % "1.6.4"
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val dispatch = "net.databinder" %% "dispatch-http" % "0.8.7"
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// benchmark
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val instrumenter = "com.google.code.java-allocation-instrumenter" % "java-allocation-instrumenter" % "2.0"
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val gson = "com.google.code.gson" % "gson" % "1.7.1"
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}
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object ApplicationBuild extends Build with Resolvers with Dependencies {
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@ -57,32 +53,4 @@ object ApplicationBuild extends Build with Resolvers with Dependencies {
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lazy val chess = Project("chess", file("chess"), settings = buildSettings).settings(
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libraryDependencies ++= Seq(hasher)
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)
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//lazy val benchmark = Project("benchmark", file("benchmark"), settings = buildSettings).settings(
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//fork in run := true,
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//libraryDependencies ++= Seq(instrumenter, gson),
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//// we need to add the runtime classpath as a "-cp" argument
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//// to the `javaOptions in run`, otherwise caliper
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//// will not see the right classpath and die with a ConfigurationException
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//// unfortunately `javaOptions` is a SettingsKey and
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//// `fullClasspath in Runtime` is a TaskKey, so we need to
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//// jump through these hoops here in order to
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//// feed the result of the latter into the former
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//onLoad in Global ~= { previous ⇒
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//state ⇒
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//previous {
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//state get key match {
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//case None ⇒
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//// get the runtime classpath, turn into a colon-delimited string
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//val classPath = Project.runTask(fullClasspath in Runtime, state).get._2.toEither.right.get.files.mkString(":")
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//// return a state with javaOptionsPatched = true and javaOptions set correctly
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//Project.extract(state).append(Seq(javaOptions in run ++= Seq("-cp", classPath)), state.put(key, true))
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//case Some(_) ⇒ state // the javaOptions are already patched
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//}
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//}
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//}
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//) dependsOn (chess, system)
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//// attribute key to prevent circular onLoad hook (for benchmark)
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//val key = AttributeKey[Boolean]("javaOptionsPatched")
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}
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