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ghc-random-1.2.1.1-150500.1.1 RPM for s390x

From OpenSuSE Leap 15.5 for s390x

Name: ghc-random Distribution: SUSE Linux Enterprise 15
Version: 1.2.1.1 Vendor: SUSE LLC <https://www.suse.com/>
Release: 150500.1.1 Build date: Wed Dec 14 04:02:58 2022
Group: Unspecified Build host: s390zp34
Size: 2171142 Source RPM: ghc-random-1.2.1.1-150500.1.1.src.rpm
Packager: https://www.suse.com/
Url: https://hackage.haskell.org/package/random
Summary: Pseudo-random number generation
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
<https://hackage.haskell.org/package/mwc-random mwc-random> 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.

Provides

Requires

License

BSD-3-Clause

Changelog

* Mon May 09 2022 [email protected]
  - Update random to version 1.2.1.1.
    Upstream has not updated the file "CHANGELOG.md" since the last
    release.
* Mon Sep 20 2021 [email protected]
  - Update random to version 1.2.1.
    [#] 1.2.1
    * Fix support for ghc-9.2 [#99](https://github.com/haskell/random/pull/99)
    * Fix performance regression for ghc-9.0 [#101](https://github.com/haskell/random/pull/101)
    * Add `uniformEnumM` and `uniformEnumRM`
    * Add `initStdGen` [#103](https://github.com/haskell/random/pull/103)
    * Add `globalStdGen` [#117](https://github.com/haskell/random/pull/117)
    * Add `runStateGenST_`
    * Ensure that default implementation of `ShortByteString` generation uses
      unpinned memory. [#116](https://github.com/haskell/random/pull/116)
    * Fix [#54](https://github.com/haskell/random/issues/54) with
      [#68](https://github.com/haskell/random/pull/68) - if exactly one value in the
      range of floating point is infinite, then `uniformRM`/`randomR` returns that
      value.
    * Add default implementation of `uniformM` that uses `Generic`
      [#70](https://github.com/haskell/random/pull/70)
    * `Random` instance for `CBool` [#77](https://github.com/haskell/random/pull/77)
    * Addition of `TGen` and `TGenM` [#95](https://github.com/haskell/random/pull/95)
    * Addition of tuple instances for `Random` up to 7-tuple
      [#72](https://github.com/haskell/random/pull/72)
* Thu Jul 15 2021 [email protected]
  - Update random to version 1.2.0 revision 6.
    Upstream has revised the Cabal build instructions on Hackage.
* Sat Jul 10 2021 [email protected]
  - Update random to version 1.2.0 revision 5.
    [#] 1.2.0
    1. Breaking change which mostly maintains backwards compatibility, see
      "Breaking Changes" below.
    2. Support for monadic generators e.g. [mwc-random](https://hackage.haskell.org/package/mwc-random).
    3. Monadic adapters for pure generators (providing a uniform monadic
      interface to pure and monadic generators).
    4. Faster in all cases except one by more than x18 (N.B. x18 not 18%) and
      some cases (depending on the type) faster by more than x1000 - see
      below for benchmarks.
    5. Passes a large number of random number test suites:
    * [dieharder](http://webhome.phy.duke.edu/~rgb/General/dieharder.php "venerable")
    * [TestU01 (SmallCrush, Crush, BigCrush)](http://simul.iro.umontreal.ca/testu01/tu01.html "venerable")
    * [PractRand](http://pracrand.sourceforge.net/ "active")
    * [gjrand](http://gjrand.sourceforge.net/ "active")
    * See [random-quality](https://github.com/tweag/random-quality)
      for details on how to do this yourself.
    6. Better quality split as judged by these
    [tests](https://www.cambridge.org/core/journals/journal-of-functional-programming/article/evaluation-of-splittable-pseudorandom-generators/3EBAA9F14939C5BB5560E32D1A132637). Again
    see [random-quality](https://github.com/tweag/random-quality) for
    details on how to do this yourself.
    7. Unbiased generation of ranges.
    8. Updated tests and benchmarks.
    9. [Continuous integration](https://travis-ci.org/github/haskell/random).
    [#]## Breaking Changes
    Version 1.2.0 introduces these breaking changes:
    * requires `base >= 4.8` (GHC-7.10)
    * `StdGen` is no longer an instance of `Read`
    * `randomIO` and `randomRIO` were extracted from the `Random` class into
      separate functions
    In addition, there may be import clashes with new functions, e.g. `uniform` and
    `uniformR`.
    [#]## Deprecations
    Version 1.2.0 introduces `genWord64`, `genWord32` and similar methods to the
    `RandomGen` class. The significantly slower method `next` and its companion
    `genRange` are now deprecated.
    [#]## Issues Addressed
    Issue Number | Description | Comment
    - -------------|-------------|--------
    [25](https://github.com/haskell/random/issues/25) | The seeds generated by split are not independent | Fixed: changed algorithm to SplitMix, which provides a robust split operation
    [26](https://github.com/haskell/random/issues/26) | Add Random instances for tuples | Addressed: added `Uniform` instances for up to 6-tuples
    [44](https://github.com/haskell/random/issues/44) | Add Random instance for Natural | Addressed: added UniformRange instance for Natural
    [51](https://github.com/haskell/random/issues/51) | Very low throughput | Fixed: see benchmarks below
    [53](https://github.com/haskell/random/issues/53) | incorrect distribution of randomR for floating-point numbers | (\*)
    [55](https://github.com/haskell/random/issues/55) | System/Random.hs:43:1: warning: [-Wtabs] | Fixed: No more tabs
    [58](https://github.com/haskell/random/issues/58) | Why does random for Float and Double produce exactly 24 or 53 bits? | (\*)
    [59](https://github.com/haskell/random/issues/59) | read :: StdGen fails for strings longer than 6 | Addressed: StdGen is no longer an instance of Read
    [#]### Comments
    (\*) 1.2 samples more bits but does not sample every `Float` or
    `Double`. There are methods to do this but they have some downsides;
    see [here](https://github.com/idontgetoutmuch/random/issues/105) for a
    fuller discussion.
    [#]# Benchmarks
    Here are some benchmarks run on a 3.1 GHz Intel Core i7. The full
    benchmarks can be run using e.g. `stack bench`. The benchmarks are
    measured in milliseconds per 100,000 generations. In some cases, the
    performance is over x1000 times better; the minimum performance
    increase for the types listed below is more than x36.
    Name       | 1.1 Mean | 1.2 Mean
    - -----------|----------|----------
    Float      |   27.819 |    0.305
    Double     |   50.644 |    0.328
    Integer    |   42.332 |    0.332
    Word       |   40.739 |    0.027
    Int        |   43.847 |    0.028
    Char       |   17.009 |    0.462
    Bool       |   17.542 |    0.027
* Thu Dec 17 2020 [email protected]
  - disable %{ix86} build
* Mon Aug 31 2020 [email protected]
  - Update random to version 1.1 revision 1.
    Upstream has revised the Cabal build instructions on Hackage.
* Tue Aug 18 2020 [email protected]
  - Replace %setup -q with the more modern %autosetup macro.
* Tue Jun 16 2020 [email protected]
  - Re-generate file with latest version of spec-cleaner.
* Fri Nov 08 2019 [email protected]
  - Drop obsolete group attributes.
* Sat Oct 20 2018 [email protected]
  - Use https URL to refer to bugs.opensuse.org.
* Wed Jul 18 2018 [email protected]
  - Cosmetic: replace tabs with blanks, strip trailing white space,
    and update copyright headers with spec-cleaner.
* Wed May 16 2018 [email protected]
  - Prefer the new %license attribute over %doc.
* Thu Aug 03 2017 [email protected]
  - Updated with latest spec-cleaner version 0.9.8-8-geadfbbf.
* Thu Jan 26 2017 [email protected]
  - Update to version 1.1 revision 1 with cabal2obs.
* Sun Jul 10 2016 [email protected]
  - Update to version 1.1 revision 0 with cabal2obs.
* Thu Apr 09 2015 [email protected]
  - update to 1.1
    * breaking change to `randomIValInteger` to improve RNG quality and performance
    * correct documentation about generated range of Int32 sized values of type Int
    * fix memory leaks by using strict fields and strict atomicModifyIORef'
    * support for base < 4.6 (which doesnt provide strict atomicModifyIORef')
    * fix C type in test suite https://github.com/haskell/random/pull/9

Files

/usr/lib64/ghc-8.10.7/random-1.2.1.1
/usr/lib64/ghc-8.10.7/random-1.2.1.1/libHSrandom-1.2.1.1-7JCauc0AKIuFDMYJWSrKkh-ghc8.10.7.so
/usr/share/licenses/ghc-random
/usr/share/licenses/ghc-random/LICENSE


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