random-fu-0.0.3.2: src/Data/Random/Distribution/Uniform.hs
{-
- ``Data/Random/Distribution/Uniform''
-}
{-# LANGUAGE
MultiParamTypeClasses, FunctionalDependencies,
FlexibleContexts, FlexibleInstances,
UndecidableInstances, EmptyDataDecls,
TemplateHaskell
#-}
module Data.Random.Distribution.Uniform
( Uniform(..)
, uniform
, StdUniform(..)
, stdUniform
, stdUniformNonneg
, stdUniformPos
, integralUniform
, realFloatUniform
, floatUniform
, doubleUniform
, fixedUniform
, boundedStdUniform
, boundedEnumStdUniform
, realFloatStdUniform
, fixedStdUniform
, floatStdUniform
, doubleStdUniform
, realStdUniformCDF
, realUniformCDF
) where
import Data.Random.Internal.TH
import Data.Random.Internal.Words
import Data.Random.Internal.Fixed
import Data.Random.Source
import Data.Random.Distribution
import Data.Random.RVar
import Data.Fixed
import Data.Word
import Data.Int
import Data.List
import Control.Monad.Loops
-- |Compute a random 'Integral' value between the 2 values provided (inclusive).
integralUniform :: (Integral a) => a -> a -> RVar a
integralUniform a b
| a > b = compute b a
| otherwise = compute a b
where
compute a b = do
let m = 1 + toInteger b - toInteger a
let bytes = bytesNeeded m
maxXpossible = (powersOf256 !! bytes) - 1
x <- iterateUntil (maxXpossible - maxXpossible `mod` m >) (nByteInteger bytes)
return (a + fromInteger (x `mod` m))
integralUniformCDF a b x
| b < a = integralUniformCDF b a x
| x < a = 0
| x > b = 1
| otherwise = (fromIntegral x - fromIntegral a) / (fromIntegral b - fromIntegral a)
bytesNeeded x = case findIndex (> x) powersOf256 of
Just x -> x
powersOf256 = iterate (256 *) 1
-- |Compute a random value for a 'Bounded' type, between 'minBound' and 'maxBound'
-- (inclusive for 'Integral' or 'Enum' types, in ['minBound', 'maxBound') for Fractional types.)
boundedStdUniform :: (Distribution Uniform a, Bounded a) => RVar a
boundedStdUniform = uniform minBound maxBound
boundedStdUniformCDF :: (CDF Uniform a, Bounded a) => a -> Double
boundedStdUniformCDF = cdf (Uniform minBound maxBound)
-- |Compute a random value for a 'Bounded' 'Enum' type, between 'minBound' and
-- 'maxBound' (inclusive)
boundedEnumStdUniform :: (Enum a, Bounded a) => RVar a
boundedEnumStdUniform = enumUniform minBound maxBound
boundedEnumStdUniformCDF :: (Enum a, Bounded a, Ord a) => a -> Double
boundedEnumStdUniformCDF = enumUniformCDF minBound maxBound
-- |Compute a uniform random 'Float' value in the range [0,1)
floatStdUniform :: RVar Float
floatStdUniform = do
x <- getRandomWord
return (wordToFloat x)
-- |Compute a uniform random 'Double' value in the range [0,1)
doubleStdUniform :: RVar Double
doubleStdUniform = getRandomDouble
-- |Compute a uniform random value in the range [0,1) for any 'RealFloat' type
realFloatStdUniform :: RealFloat a => RVar a
realFloatStdUniform = do
let (b, e) = decodeFloat one
x <- uniform 0 (b-1)
if x == 0
then return (0 `asTypeOf` one)
else return (encodeFloat x e)
where one = 1
-- |Compute a uniform random 'Fixed' value in the range [0,1), with any
-- desired precision.
fixedStdUniform :: HasResolution r => RVar (Fixed r)
fixedStdUniform = x
where
res = resolutionOf2 x
x = do
u <- uniform 0 (res)
return (mkFixed u)
-- |The CDF of the random variable 'realFloatStdUniform'.
realStdUniformCDF :: Real a => a -> Double
realStdUniformCDF x
| x <= 0 = 0
| x >= 1 = 1
| otherwise = realToFrac x
-- |@floatUniform a b@ computes a uniform random 'Float' value in the range [a,b)
floatUniform :: Float -> Float -> RVar Float
floatUniform 0 1 = floatStdUniform
floatUniform a b = do
x <- floatStdUniform
return (a + x * (b - a))
-- |@doubleUniform a b@ computes a uniform random 'Double' value in the range [a,b)
doubleUniform :: Double -> Double -> RVar Double
doubleUniform 0 1 = doubleStdUniform
doubleUniform a b = do
x <- doubleStdUniform
return (a + x * (b - a))
-- |@realFloatUniform a b@ computes a uniform random value in the range [a,b) for
-- any 'RealFloat' type
realFloatUniform :: RealFloat a => a -> a -> RVar a
realFloatUniform 0 1 = realFloatStdUniform
realFloatUniform a b = do
x <- realFloatStdUniform
return (a + x * (b - a))
-- |@fixedUniform a b@ computes a uniform random 'Fixed' value in the range
-- [a,b), with any desired precision.
fixedUniform :: HasResolution r => Fixed r -> Fixed r -> RVar (Fixed r)
fixedUniform a b = do
u <- integralUniform (unMkFixed a) (unMkFixed b)
return (mkFixed u)
-- |@realUniformCDF a b@ is the CDF of the random variable @realFloatUniform a b@.
realUniformCDF :: RealFrac a => a -> a -> a -> Double
realUniformCDF a b x
| b < a = realUniformCDF b a x
| x <= a = 0
| x >= b = 1
| otherwise = realToFrac ((x-a) / (b-a))
-- |@realFloatUniform a b@ computes a uniform random value in the range [a,b) for
-- any 'Enum' type
enumUniform :: Enum a => a -> a -> RVar a
enumUniform a b = do
x <- integralUniform (fromEnum a) (fromEnum b)
return (toEnum x)
enumUniformCDF :: (Enum a, Ord a) => a -> a -> a -> Double
enumUniformCDF a b x
| b < a = enumUniformCDF b a x
| x <= a = 0
| x >= b = 1
| otherwise = (e2f x - e2f a) / (e2f b - e2f a)
where e2f = fromIntegral . fromEnum
-- @uniform a b@ computes a uniformly distributed random value in the range
-- [a,b] for 'Integral' or 'Enum' types and in the range [a,b) for 'Fractional'
-- types. Requires a @Distribution Uniform@ instance for the type.
uniform :: Distribution Uniform a => a -> a -> RVar a
uniform a b = rvar (Uniform a b)
-- |Get a \"standard\" uniformly distributed value.
-- For integral types, this means uniformly distributed over the full range
-- of the type (and hence there is no support for Integer). For fractional
-- types, this means uniformly distributed on the interval [0,1).
stdUniform :: (Distribution StdUniform a) => RVar a
stdUniform = rvar StdUniform
-- |Like 'stdUniform', but uses 'abs' to return only positive or zero values.
stdUniformNonneg :: (Distribution StdUniform a, Num a) => RVar a
stdUniformNonneg = abs `fmap` stdUniform
-- |Like 'stdUniform' but only returns positive values.
stdUniformPos :: (Distribution StdUniform a, Num a) => RVar a
stdUniformPos = do
x <- stdUniformNonneg
if x /= 0
then return x
else stdUniformPos
-- |A definition of a uniform distribution over the type @t@. See also 'uniform'.
data Uniform t =
-- |A uniform distribution defined by a lower and upper range bound.
-- For 'Integral' and 'Enum' types, the range is inclusive. For 'Fractional'
-- types the range includes the lower bound but not the upper.
Uniform !t !t
-- |A name for the \"standard\" uniform distribution over the type @t@,
-- if one exists. See also 'stdUniform'.
--
-- For 'Integral' and 'Enum' types that are also 'Bounded', this is
-- the uniform distribution over the full range of the type.
-- For un-'Bounded' 'Integral' types this is not defined.
-- For 'Fractional' types this is a random variable in the range [0,1)
-- (that is, 0 to 1 including 0 but not including 1).
data StdUniform t = StdUniform
$( replicateInstances ''Int integralTypes [d|
instance Distribution Uniform Int where rvar (Uniform a b) = integralUniform a b
instance CDF Uniform Int where cdf (Uniform a b) = integralUniformCDF a b
|])
-- Some integral types have specialized StdUniform rvars:
instance Distribution StdUniform Int8 where rvar ~StdUniform = fmap fromIntegral getRandomByte
instance Distribution StdUniform Word8 where rvar ~StdUniform = getRandomByte
instance Distribution StdUniform Word64 where rvar ~StdUniform = getRandomWord
-- and Integer has none...
$( replicateInstances ''Int (integralTypes \\ [''Int8, ''Word8, ''Word64, ''Integer]) [d|
instance Distribution StdUniform Int where rvar ~StdUniform = fmap fromIntegral getRandomWord
|])
$( replicateInstances ''Int (integralTypes \\ [''Integer]) [d|
instance CDF StdUniform Int where cdf ~StdUniform = boundedStdUniformCDF
|])
instance Distribution Uniform Float where rvar (Uniform a b) = floatUniform a b
instance Distribution Uniform Double where rvar (Uniform a b) = doubleUniform a b
instance CDF Uniform Float where cdf (Uniform a b) = realUniformCDF a b
instance CDF Uniform Double where cdf (Uniform a b) = realUniformCDF a b
instance Distribution StdUniform Float where rvar ~StdUniform = floatStdUniform
instance Distribution StdUniform Double where rvar ~StdUniform = doubleStdUniform
instance CDF StdUniform Float where cdf ~StdUniform = realStdUniformCDF
instance CDF StdUniform Double where cdf ~StdUniform = realStdUniformCDF
instance HasResolution r =>
Distribution Uniform (Fixed r) where rvar (Uniform a b) = fixedUniform a b
instance HasResolution r =>
CDF Uniform (Fixed r) where cdf (Uniform a b) = realUniformCDF a b
instance HasResolution r =>
Distribution StdUniform (Fixed r) where rvar ~StdUniform = fixedStdUniform
instance HasResolution r =>
CDF StdUniform (Fixed r) where cdf ~StdUniform = realStdUniformCDF
instance Distribution Uniform () where rvar (Uniform a b) = return ()
instance CDF Uniform () where cdf (Uniform a b) = return 1
$( replicateInstances ''Char [''Char, ''Bool, ''Ordering] [d|
instance Distribution Uniform Char where rvar (Uniform a b) = enumUniform a b
instance CDF Uniform Char where cdf (Uniform a b) = enumUniformCDF a b
|])
instance Distribution StdUniform () where rvar ~StdUniform = return ()
instance CDF StdUniform () where cdf ~StdUniform = return 1
instance Distribution StdUniform Bool where rvar ~StdUniform = fmap even getRandomByte
instance CDF StdUniform Bool where cdf ~StdUniform = boundedEnumStdUniformCDF
instance Distribution StdUniform Char where rvar ~StdUniform = boundedEnumStdUniform
instance CDF StdUniform Char where cdf ~StdUniform = boundedEnumStdUniformCDF
instance Distribution StdUniform Ordering where rvar ~StdUniform = boundedEnumStdUniform
instance CDF StdUniform Ordering where cdf ~StdUniform = boundedEnumStdUniformCDF