Created
January 18, 2019 17:46
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functors, monads, and probability
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{-# LANGUAGE DeriveFunctor #-} | |
module Prob where | |
import Control.Monad (forM_) | |
import qualified Data.Map as M | |
import Text.Printf (printf) | |
newtype Prob a = Prob {unProb :: [(a, Double)]} deriving (Functor, Show) | |
instance Applicative Prob where | |
pure x = Prob [(x, 1)] | |
Prob fs <*> Prob xs = Prob | |
[(f x, p1 * p2) | (f, p1) <- fs, (x, p2) <- xs] | |
instance Monad Prob where | |
Prob xs >>= f = Prob | |
[(y, p1 * p2) | (x, p1) <- xs, (y, p2) <- unProb (f x)] | |
run :: (Show a, Ord a) => Prob a -> IO () | |
run (Prob xs) = | |
forM_ (M.toList $ M.fromListWith (+) xs) $ \(x, p) -> | |
printf "%.3f %s\n" p (show x) | |
d6 :: Prob Int | |
d6 = Prob [(x, 1 / 6) | x <- [1 .. 6]] | |
-- try: | |
-- run $ do {x <- d6; y <- d6; return (x + y)} | |
-- What is the chance I do more than 5 damage? | |
-- run $ do {x <- d6; y <- d6; return (x + y > 5)} | |
-- e.g. if any of the dice is <= 2, throw again: | |
-- run $ do {x <- d6; y <- d6; if x <= 2 || y <= 2 then (+) <$> d6 <*> d6 else return (x + y)} |
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