packages feed

dice-entropy-conduit (empty) → 1.0.0.0

raw patch · 6 files changed

+785/−0 lines, 6 filesdep +QuickCheckdep +basedep +bytestringsetup-changed

Dependencies added: QuickCheck, base, bytestring, conduit, entropy, test-framework, test-framework-quickcheck2, transformers

Files

+ LICENSE view
@@ -0,0 +1,508 @@+Copyright 2008-2009, Peter Robinson <thaldyron@gmail.com>. All rights reserved.++          GNU LESSER GENERAL PUBLIC LICENSE+               Version 2.1, February 1999++ Copyright (C) 1991, 1999 Free Software Foundation, Inc.+ 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA+ Everyone is permitted to copy and distribute verbatim copies+ of this license document, but changing it is not allowed.++[This is the first released version of the Lesser GPL.  It also counts+ as the successor of the GNU Library Public License, version 2, hence+ the version number 2.1.]++                Preamble++  The licenses for most software are designed to take away your+freedom to share and change it.  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+ Setup.hs view
@@ -0,0 +1,2 @@+import Distribution.Simple+main = defaultMain
+ dice-entropy-conduit.cabal view
@@ -0,0 +1,48 @@+name:           dice-entropy-conduit+version:        1.0.0.0+cabal-version:  >=1.8+build-type:     Simple+license:        LGPL-2.1+license-file:   LICENSE+author:         Peter Robinson <peter.robinson@monoid.at>+maintainer:     peter.robinson@monoid.at+copyright:      Peter Robinson 2014+homepage:       http://monoid.at/code+tested-with:    GHC==7.8.3+stability:      experimental+category:       Cryptography, Data +synopsis:       Cryptographically secure n-sided dice via rejection sampling. +description:    +  This library uses rejection sampling to provide cryptographically secure +  @n@-sided dice rolls and random sampling (within a given range). +  The number of used random bits is close to the information-theoretic optimal+  bound.+  .+  The API provides a conduit interface.+  See module "System.Random.Dice" for a more detailed description.+  .+  Feedback is welcome!++library+  hs-source-dirs:  src+  build-depends:   base == 4.*+                  ,bytestring >= 0.9+                  ,entropy >= 0.3.2+                  ,conduit >= 1.1.7+                  ,transformers >= 0.4.0.0++  ghc-options:     -Wall +  exposed-modules: System.Random.Dice+                   System.Random.Dice.Internal+++test-suite Main+  type:            exitcode-stdio-1.0+  x-uses-tf:       true+  build-depends:   base >= 4 && < 5,+                   QuickCheck >= 2.4,+                   test-framework >= 0.4.1,+                   test-framework-quickcheck2+  hs-source-dirs:  src, tests+  main-is:         Tests.hs+
+ src/System/Random/Dice.hs view
@@ -0,0 +1,51 @@+{-# LANGUAGE Rank2Types #-}+-----------------------------------------------------------------------------+-- |+-- Module      :  System.Random.Dice+-- Copyright   :  Peter Robinson 2014+-- License     :  LGPL+-- +-- Maintainer  :  Peter Robinson <peter.robinson@monoid.at>+-- Stability   :  experimental+-- Portability :  portable+--+-- This module implements an @n@-sided dice and provides sampling from a given+-- integer range.+-- The algorithm uses rejection sampling and attempts to keep the total number+-- of used random bits as close as possible to the information theoretic lower+-- bound of @ln(n) / ln(2)@ (for a range of size @n@).+-- +-- The implementation exposes streams of random values as conduits, see+-- 'diceRolls' and 'randomRs'. We also provide IO wrappers around these+-- functions, see 'getDiceRolls' and 'getRandomRs'.+-- The conduit interface allows us to use a specific entropy source, which has+-- type 'Producer' 'IO' 'Word'. +--+-- /Usage:/+-- +-- If we wanted to use the system-specific entropy source ('systemEntropy') to+-- produce 10 dice rolls of a 6-sided dice (i.e. range [0,5]), we could write:+--+-- > > systemEntropy $$ diceRolls 6 =$= CL.take 10 +-- > [5,1,3,3,0,5,3,2,2,1]+--+-- The function 'testPerformance' yields the actual number of consumed random+-- bits:+-- +-- > > testPerformance 12 10000+-- > Generated 10000 random samples in range [0,11]+-- > Average number of bits used: 3.5904+-- > Entropy lower bound on the number of required bits: 3.5849625007211565+-- > Performance ratio: 1.0015167520658164+--+-----------------------------------------------------------------------------+module System.Random.Dice( diceRolls+                         , randomRs+                         , getDiceRolls+                         , getRandomRs+                         , testPerformance+                         , systemEntropy+                         )+where+import System.Random.Dice.Internal+
+ src/System/Random/Dice/Internal.hs view
@@ -0,0 +1,147 @@+{-# LANGUAGE Rank2Types, DataKinds #-}+-----------------------------------------------------------------------------+-- |+-- Module      :  System.Random.Dice.Internal+-- Copyright   :  Peter Robinson 2014+-- License     :  LGPL+-- +-- Maintainer  :  Peter Robinson <peter.robinson@monoid.at>+-- Stability   :  experimental+-- Portability :  portable+--+-----------------------------------------------------------------------------+module System.Random.Dice.Internal+where+import System.Entropy+import Control.Monad.IO.Class+import Control.Monad+import Control.Exception+import qualified Data.ByteString as B+import Data.Word+import Data.Conduit+import qualified Data.Conduit.List as CL++-- | Converts a number to its base-2 representation (as a list of bits) +-- and prepends zeros to ensure the minimal size.+integralToBits :: (Integral n,Integral m)+               => Int  -- ^ minimal number of bits @b@+               -> n    -- ^ the number @n@+               -> [m]  -- ^ bit representation of @n@, length >= @b@+integralToBits b x = reverse $ integralToBits' 0 x +  where+  integralToBits' ns 0 = replicate (b-ns) 0+  integralToBits' ns y = +    let (a,res) = quotRem y 2 in +    fromIntegral res : integralToBits' (ns+1) a+    ++-- | Convert a list of bits to an integral+bitsToIntegral :: (Integral n) =>[n] -> n+bitsToIntegral = extendIntegralWithBits 0 + ++extendIntegralWithBits :: (Integral n) => n -> [n] -> n+extendIntegralWithBits n = foldr (\c r -> 2*r + c) n . reverse+++-- | Upper bound on the number of sides that a random dice can have.+upperBound :: Word64+upperBound = 2^(55 :: Int)+++-- | Generates @k@ rolls of an @n@ sided dice.+getDiceRolls :: Int  -- ^ @n:@ number of sides+             -> Int  -- ^ @k:@ number of rolls+             -> IO [Int]+getDiceRolls n len = +  systemEntropy $$ diceRolls n =$= CL.take len +++-- | Generates a list of random integer values in the specified range.+getRandomRs :: (Int,Int) -- ^ (inclusive) range+         -> Int          -- ^ number of samples+         -> IO [Int]+getRandomRs range len = +  systemEntropy $$ randomRs range =$= CL.take len+++-- | Produces a stream of random integer values in the range @[0,n-1]@, for a+-- given @n <= 2^55@.+-- This conduit needs to be attached to an entropy source such as+-- 'systemEntropy'.+diceRolls :: Int -> Conduit Word8 IO Int+diceRolls n+  | fromIntegral n > upperBound || n <= 0+    = throw $ AssertionFailed "diceRolls: n-sided dice are supported, for 1 <= n < 2^55."+  | n == 1    +    = CL.sourceList [0,0..] +  | otherwise +    = dRoll (fromIntegral n) 1 0 =$= CL.map fst+++-- | Produces a stream of random integer values within a range.+-- This conduit needs to be attached to an entropy source such as+-- 'systemEntropy'.+randomRs :: (Int,Int)             -- ^ range (inclusive)+         -> Conduit Word8 IO Int+randomRs (low,up) = diceRolls (up-low+1) =$= CL.map (+low)+++-- | A source of entropy. By default, we use the 'getEntropy' function from+-- the entropy package, see 'systemEntropy'. +--+-- /Warning:/ When combining a source of entropy with another conduits, it is+-- important to ensure that there is no \"backflow\" due to leftover values that +-- are being returned to the+-- source from the conduit. This can be done by fusing the conduit with the+-- identity map, e.g: @myEntropySrc $$ Data.Conduit.List.map id =$= myConduit@+-- +systemEntropy :: Producer IO Word8 +systemEntropy = do+  bytes <- B.unpack `liftM` liftIO  (getEntropy 8)+  forM_ bytes yield+  systemEntropy ++++-- | Internal function. Should not be invoked directly. +dRoll :: Word64 -> Word64 -> Word64 -> Conduit Word8 IO (Int,Int)+dRoll n m r = do+--    | num > len = print ("end:",num,m,r) >> return []+--  | otherwise = do+  let k = ceiling $ (logBase 2 (fromIntegral upperBound) - logBase 2 (fromIntegral m :: Double)) / 8 +  let m' = 2^(8*k) * m+  bits <- (concatMap (integralToBits 8) . B.unpack) +          `liftM` (if k>0 then liftIO $ getEntropy k else return $ B.pack [])+  let w64 = extendIntegralWithBits r bits+  let q = m' `div` n+  if w64 < n * q +    then do+      yield (fromIntegral $ w64 `mod` n,k)+      dRoll n q (w64 `div` n)+    else  dRoll n (m' - n*q) (w64 - n*q)+++-- | Compute the performance of the algorithm in terms of used random bits+-- versus produced random values.+testPerformance :: Int   -- ^ number of sides of dice+                -> Int   -- ^ number of samples used for computing average.+                -> IO ()+testPerformance n len +  | fromIntegral n > upperBound+    = throw $ AssertionFailed "dice: range must be within Word64 bounds."+  | otherwise = do+    nbits <- systemEntropy $= dRoll (fromIntegral n) 1 0 +                           $$ CL.take len +                           >>= return . sum . map snd+    putStrLn $ "Generated " ++ show len +            ++ " random samples in range [0," ++ show (n-1) ++ "]"+    putStrLn $ "Average number of bits used: " +            ++ show (8*fromIntegral nbits/ fromIntegral len :: Double)+    let lbound = logBase 2 (fromIntegral n) :: Double+    putStrLn $ "Entropy lower bound on the number of required bits: " +            ++ show lbound+    putStrLn $ "Performance ratio: " ++ show (((8*fromIntegral nbits +                                    / fromIntegral len) ::Double) / lbound)++
+ tests/Tests.hs view
@@ -0,0 +1,29 @@+module Main+where+import Data.Monoid+import Test.Framework+import Test.Framework.Providers.QuickCheck2+import Test.QuickCheck+import Data.Maybe+import qualified Data.List as L+import Control.Monad++import Data.ByteString.Lazy( ByteString )+import qualified Data.ByteString.Lazy as B++import System.Random.Dice.Internal++instance Arbitrary ByteString where+    arbitrary   = fmap B.pack arbitrary++main :: IO ()+main = defaultMainWithOpts+       [ testProperty "convertingToFromBits" propConvertingToFromBits+       ] mempty++propConvertingToFromBits bstr = +  let ws = B.unpack bstr in+  let ws' = map (integralToBits 8) ws in+  ws == map bitsToIntegral ws'+  +