How to Install and Uninstall ghc-random Package on openSUSE Leap
Last updated: November 23,2024
1. Install "ghc-random" package
Please follow the guidelines below to install ghc-random on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
ghc-random
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2. Uninstall "ghc-random" package
Please follow the guidelines below to uninstall ghc-random on openSUSE Leap:
$
sudo zypper remove
ghc-random
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3. Information about the ghc-random package on openSUSE Leap
Information for package ghc-random:
-----------------------------------
Repository : Update repository with updates from SUSE Linux Enterprise 15
Name : ghc-random
Version : 1.2.1.1-150500.3.3.2
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 932.3 KiB
Installed : No
Status : not installed
Source package : ghc-random-1.2.1.1-150500.3.3.2.src
Upstream URL : https://hackage.haskell.org/package/random
Summary : Pseudo-random number generation
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.runStateGen_' 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.
-----------------------------------
Repository : Update repository with updates from SUSE Linux Enterprise 15
Name : ghc-random
Version : 1.2.1.1-150500.3.3.2
Arch : x86_64
Vendor : SUSE LLC
Installed Size : 932.3 KiB
Installed : No
Status : not installed
Source package : ghc-random-1.2.1.1-150500.3.3.2.src
Upstream URL : https://hackage.haskell.org/package/random
Summary : Pseudo-random number generation
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.runStateGen_' 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.