rock-paper-scissors/src/main/kotlin/rps/Game.kt
2020-10-22 19:52:33 +02:00

54 lines
1.6 KiB
Kotlin

package rps
import kotlin.random.Random
fun main() {
println(playGame(100))
}
/**
* A possible move in a game of rock-paper-scissors.
*
* [strongAgainst] is a function for lazy evaluation because otherwise we can’t access SCISSORS before it’s been defined.
* If the game needs to be expanded (e.g. the somewhat common “rock, paper, scissors, salamander, spock”),
* this argument could be a List<Move> instead.
*/
enum class Move(val strongAgainst: () -> Move) {
ROCK({ SCISSORS }),
PAPER({ ROCK }),
SCISSORS({ PAPER })
}
// purposely not calling this Result to avoid confusion with kotlin.Result and similar
enum class Outcome {
WIN,
DRAW,
LOSS
}
// Named Triple for readability
data class GameSummary(val wins: Int, val draws: Int, val losses: Int)
/** Determine the [Outcome] of [first] vs [second] from the perspective of [first]. */
fun determineOutcome(first: Move, second: Move): Outcome = when {
first.strongAgainst() == second -> Outcome.WIN
first == second -> Outcome.DRAW
else -> Outcome.LOSS
}
// Note: This would be slightly more efficient (but a lot less elegant) with an imperative loop and three mutable integers.
fun List<Outcome>.calculateGameSummary() = GameSummary(
wins = count { it == Outcome.WIN },
draws = count { it == Outcome.DRAW },
losses = count { it == Outcome.LOSS },
)
fun playGame(turns: Int): GameSummary = generateSequence { randomMove() }
.take(turns)
.map { determineOutcome(it, Move.ROCK) }
.toList()
.calculateGameSummary()
fun randomMove(): Move = Move.values().let { allMoves ->
allMoves[Random.nextInt(allMoves.size)]
}