How to Install and Uninstall ghc-random.x86_64 Package on Fedora 36
Last updated: November 13,2024
1. Install "ghc-random.x86_64" package
This guide let you learn how to install ghc-random.x86_64 on Fedora 36
$
sudo dnf update
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$
sudo dnf install
ghc-random.x86_64
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2. Uninstall "ghc-random.x86_64" package
Please follow the instructions below to uninstall ghc-random.x86_64 on Fedora 36:
$
sudo dnf remove
ghc-random.x86_64
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$
sudo dnf autoremove
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3. Information about the ghc-random.x86_64 package on Fedora 36
Last metadata expiration check: 5:16:47 ago on Thu Sep 8 08:04:50 2022.
Available Packages
Name : ghc-random
Version : 1.2.0
Release : 2.fc36
Architecture : x86_64
Size : 92 k
Source : ghc-random-1.2.0-2.fc36.src.rpm
Repository : fedora
Summary : Pseudo-random number generation
URL : https://hackage.haskell.org/package/random
License : BSD
Description : This package provides basic pseudo-random number generation, including the
: ability to split random number generators.
:
: == "System.Random": pure pseudo-random number interface
:
: In pure code, use 'System.Random.uniform' and 'System.Random.uniformR' from
: "System.Random" to generate pseudo-random numbers with a pure pseudo-random
: number generator like 'System.Random.StdGen'.
:
: As an example, here is how you can simulate rolls of a six-sided die using
: 'System.Random.uniformR':
:
: >>> let roll = uniformR (1, 6) :: RandomGen g => g -> (Word, g) >>> let rolls =
: unfoldr (Just . roll) :: RandomGen g => g -> [Word] >>> let pureGen = mkStdGen
: 42 >>> take 10 (rolls pureGen) :: [Word] [1,1,3,2,4,5,3,4,6,2]
:
: See "System.Random" for more details.
:
: == "System.Random.Stateful": monadic pseudo-random number interface
:
: In monadic code, use 'System.Random.Stateful.uniformM' and
: 'System.Random.Stateful.uniformRM' from "System.Random.Stateful" to generate
: pseudo-random numbers with a monadic pseudo-random number generator, or using a
: monadic adapter.
:
: As an example, here is how you can simulate rolls of a six-sided die using
: 'System.Random.Stateful.uniformRM':
:
: >>> let rollM = uniformRM (1, 6) :: StatefulGen g m => g -> m Word >>> let
: pureGen = mkStdGen 42 >>> runStateGen_ pureGen (replicateM 10 . rollM) ::
: [Word] [1,1,3,2,4,5,3,4,6,2]
:
: The monadic adapter 'System.Random.Stateful.runGenState_' is used here to lift
: the pure pseudo-random number generator 'pureGen' into the
: 'System.Random.Stateful.StatefulGen' context.
:
: The monadic interface can also be used with existing monadic pseudo-random
: number generators. In this example, we use the one provided in the
: package:
:
: >>> import System.Random.MWC as MWC >>> let rollM = uniformRM (1, 6) ::
: StatefulGen g m => g -> m Word >>> monadicGen <- MWC.create >>> replicateM 10
: (rollM monadicGen) :: IO [Word] [2,3,6,6,4,4,3,1,5,4]
:
: See "System.Random.Stateful" for more details.
Available Packages
Name : ghc-random
Version : 1.2.0
Release : 2.fc36
Architecture : x86_64
Size : 92 k
Source : ghc-random-1.2.0-2.fc36.src.rpm
Repository : fedora
Summary : Pseudo-random number generation
URL : https://hackage.haskell.org/package/random
License : BSD
Description : This package provides basic pseudo-random number generation, including the
: ability to split random number generators.
:
: == "System.Random": pure pseudo-random number interface
:
: In pure code, use 'System.Random.uniform' and 'System.Random.uniformR' from
: "System.Random" to generate pseudo-random numbers with a pure pseudo-random
: number generator like 'System.Random.StdGen'.
:
: As an example, here is how you can simulate rolls of a six-sided die using
: 'System.Random.uniformR':
:
: >>> let roll = uniformR (1, 6) :: RandomGen g => g -> (Word, g) >>> let rolls =
: unfoldr (Just . roll) :: RandomGen g => g -> [Word] >>> let pureGen = mkStdGen
: 42 >>> take 10 (rolls pureGen) :: [Word] [1,1,3,2,4,5,3,4,6,2]
:
: See "System.Random" for more details.
:
: == "System.Random.Stateful": monadic pseudo-random number interface
:
: In monadic code, use 'System.Random.Stateful.uniformM' and
: 'System.Random.Stateful.uniformRM' from "System.Random.Stateful" to generate
: pseudo-random numbers with a monadic pseudo-random number generator, or using a
: monadic adapter.
:
: As an example, here is how you can simulate rolls of a six-sided die using
: 'System.Random.Stateful.uniformRM':
:
: >>> let rollM = uniformRM (1, 6) :: StatefulGen g m => g -> m Word >>> let
: pureGen = mkStdGen 42 >>> runStateGen_ pureGen (replicateM 10 . rollM) ::
: [Word] [1,1,3,2,4,5,3,4,6,2]
:
: The monadic adapter 'System.Random.Stateful.runGenState_' is used here to lift
: the pure pseudo-random number generator 'pureGen' into the
: 'System.Random.Stateful.StatefulGen' context.
:
: The monadic interface can also be used with existing monadic pseudo-random
: number generators. In this example, we use the one provided in the
:
:
: >>> import System.Random.MWC as MWC >>> let rollM = uniformRM (1, 6) ::
: StatefulGen g m => g -> m Word >>> monadicGen <- MWC.create >>> replicateM 10
: (rollM monadicGen) :: IO [Word] [2,3,6,6,4,4,3,1,5,4]
:
: See "System.Random.Stateful" for more details.