random -is:package

random :: (Random a, RandomGen g) => g -> (a, g)
random System.Random System.Random.Stateful, MonadRandom Control.Monad.Random.Lazy Control.Monad.Random.Strict, Yampa FRP.Yampa FRP.Yampa.Random
The same as randomR, but using a default range determined by the type:
  • For bounded types (instances of Bounded, such as Char), the range is normally the whole type.
  • For floating point types, the range is normally the closed interval [0,1].
  • For Integer, the range is (arbitrarily) the range of Int.
random :: (Random a, RandomGen g, Uniform a) => g -> (a, g)
random System.Random System.Random.Stateful
The same as randomR, but using a default range determined by the type:
  • For bounded types (instances of Bounded, such as Char), the range is normally the whole type.
  • For floating point types, the range is normally the closed interval [0,1].
  • For Integer, the range is (arbitrarily) the range of Int.
random :: MonadIO m => m Seed
hedgehog Hedgehog.Internal.Seed
Create a random Seed using an effectful source of randomness.
random :: FoldM IO a (Maybe a)
foldl Control.Foldl
Pick a random element, using reservoir sampling
random :: (RandomGen g, Random a) => Dimension -> Dimension -> g -> (T a, g)
numeric-prelude MathObj.Matrix
random :: (Random a, RandomGen g) => g -> (a, g)
tf-random System.Random.TF.Instances
random :: (C sh, Floating a) => RandomDistribution -> sh -> Word64 -> Vector sh a
lapack Numeric.LAPACK.Vector
random :: MonadIO m => [a] -> m a
lambdabot-core Lambdabot.Util
Pick a random element of the list.
random :: MonadMPD m => Bool -> m ()
libmpd Network.MPD
Set random playing.
random :: Bool -> Command ()
libmpd Network.MPD.Applicative.PlaybackOptions
Toggle random mode.
random :: Natural -> IO ByteString
random-bytestring Data.ByteString.Random.MWC Data.ByteString.Random.PCG
Generate a random bytestring of length n. The PRNG is seeded from the system randomness source. 
ioProperty $ ((fromIntegral n ===) . B.length) <$> random n

n > 4 ==> ioProperty $ (/=) <$> random n <*> random n
random :: MTRandom a => MTGen -> IO a
mersenne-random System.Random.Mersenne
random :: IO UUID
ipython-kernel IHaskell.IPython.Message.UUID
Generate a single random UUID.
rANDOM :: Module
breakpoint Debug.Breakpoint.GhcFacade
random :: IO Policy
cql-io Database.CQL.IO
Return hosts in random order.
random :: MonadDistribution m => m Double
monad-bayes Control.Monad.Bayes.Class
Draw from a uniform distribution.
random :: (MonadMoment m, C set, Ord key) => T m time set key Velocity
reactive-midyim Reactive.Banana.MIDI.Pattern
random :: ULID -> !ULIDRandom
ulid Data.ULID
random :: MonadIO io => io EventId
patrol Patrol.Type.EventId
random :: ReaderT Handle IO ()
reactive-balsa Reactive.Banana.ALSA.Example
module System.Random
random
This library deals with the common task of pseudo-random number generation.
class Random a
random System.Random System.Random.Stateful
The class of types for which random values can be generated. Most instances of Random will produce values that are uniformly distributed on the full range, but for those types without a well-defined "full range" some sensible default subrange will be selected. Random exists primarily for backwards compatibility with version 1.1 of this library. In new code, use the better specified Uniform and UniformRange instead.
module Crypto.Random
cryptonite
module Control.Monad.Random
MonadRandom
This module is provided for backwards compatibility, and simply re-exports Control.Monad.Random.Lazy.
class () => Random a
MonadRandom Control.Monad.Random.Lazy
The class of types for which random values can be generated. Most instances of Random will produce values that are uniformly distributed on the full range, but for those types without a well-defined "full range" some sensible default subrange will be selected. Random exists primarily for backwards compatibility with version 1.1 of this library. In new code, use the better specified Uniform and UniformRange instead.