osc copypac from project:devel:languages:haskell:ghc-8.10.x package:ghc-random revision:18, using keep-link

OBS-URL: https://build.opensuse.org/package/show/devel:languages:haskell/ghc-random?expand=0&rev=58
This commit is contained in:
Ondřej Súkup 2021-09-20 13:07:56 +00:00 committed by Git OBS Bridge
parent b2e881cd5d
commit 76a4540434
5 changed files with 33 additions and 206 deletions

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@ -1,3 +1,28 @@
-------------------------------------------------------------------
Mon Sep 20 07:13:14 UTC 2021 - psimons@suse.com
- 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 16:15:27 UTC 2021 - psimons@suse.com

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%global pkg_name random
%bcond_with tests
Name: ghc-%{pkg_name}
Version: 1.2.0
Version: 1.2.1
Release: 0
Summary: Pseudo-random number generation
License: BSD-3-Clause
URL: https://hackage.haskell.org/package/%{pkg_name}
Source0: https://hackage.haskell.org/package/%{pkg_name}-%{version}/%{pkg_name}-%{version}.tar.gz
Source1: https://hackage.haskell.org/package/%{pkg_name}-%{version}/revision/6.cabal#/%{pkg_name}.cabal
BuildRequires: ghc-Cabal-devel
BuildRequires: ghc-bytestring-devel
BuildRequires: ghc-deepseq-devel
@ -36,15 +35,13 @@ ExcludeArch: %{ix86}
%if %{with tests}
BuildRequires: ghc-containers-devel
BuildRequires: ghc-doctest-devel
BuildRequires: ghc-mwc-random-devel
BuildRequires: ghc-primitive-devel
BuildRequires: ghc-smallcheck-devel
BuildRequires: ghc-stm-devel
BuildRequires: ghc-tasty-devel
BuildRequires: ghc-tasty-expected-failure-devel
BuildRequires: ghc-tasty-hunit-devel
BuildRequires: ghc-tasty-inspection-testing-devel
BuildRequires: ghc-tasty-smallcheck-devel
BuildRequires: ghc-unliftio-devel
BuildRequires: ghc-vector-devel
BuildRequires: ghc-transformers-devel
%endif
%description
@ -80,7 +77,7 @@ As an example, here is how you can simulate rolls of a six-sided die using
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 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.
@ -106,7 +103,6 @@ This package provides the Haskell %{pkg_name} library development files.
%prep
%autosetup -n %{pkg_name}-%{version}
cp -p %{SOURCE1} %{pkg_name}.cabal
%build
%ghc_lib_build

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version https://git-lfs.github.com/spec/v1
oid sha256:e4519cf7c058bfd5bdbe4acc782284acc9e25e74487208619ca83cbcd63fb9de
size 37889

3
random-1.2.1.tar.gz Normal file
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@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:265c768fc5f2ca53cde6a87e706b4448cad474c3deece933c103f24453661457
size 47143

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@ -1,194 +0,0 @@
cabal-version: >=1.10
name: random
version: 1.2.0
x-revision: 6
license: BSD3
license-file: LICENSE
maintainer: core-libraries-committee@haskell.org
bug-reports: https://github.com/haskell/random/issues
synopsis: 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.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
<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.
category: System
build-type: Simple
extra-source-files:
README.md
CHANGELOG.md
tested-with: GHC == 7.10.2
, GHC == 7.10.3
, GHC == 8.0.2
, GHC == 8.2.2
, GHC == 8.4.3
, GHC == 8.4.4
, GHC == 8.6.3
, GHC == 8.6.4
, GHC == 8.6.5
, GHC == 8.8.1
, GHC == 8.8.2
, GHC == 8.10.1
source-repository head
type: git
location: https://github.com/haskell/random.git
library
exposed-modules:
System.Random
System.Random.Internal
System.Random.Stateful
hs-source-dirs: src
default-language: Haskell2010
ghc-options:
-Wall
if impl(ghc >= 8.0)
ghc-options:
-Wincomplete-record-updates -Wincomplete-uni-patterns
build-depends:
base >=4.8 && <4.16,
bytestring >=0.10.4 && <0.12,
deepseq >=1.1 && <2,
mtl >=2.2 && <2.3,
splitmix >=0.1 && <0.2
if impl(ghc < 8.0)
build-depends:
transformers
test-suite legacy-test
type: exitcode-stdio-1.0
main-is: Legacy.hs
hs-source-dirs: test-legacy
other-modules:
T7936
TestRandomIOs
TestRandomRs
Random1283
RangeTest
default-language: Haskell2010
ghc-options: -with-rtsopts=-M4M
if impl(ghc >= 8.0)
ghc-options:
-Wno-deprecations
build-depends:
base -any,
containers >=0.5 && <0.7,
random -any
test-suite doctests
type: exitcode-stdio-1.0
main-is: doctests.hs
hs-source-dirs: test
default-language: Haskell2010
build-depends:
base -any,
doctest >=0.15 && <0.19,
mwc-random >=0.13 && <0.16,
primitive >=0.6 && <0.8,
random -any,
unliftio >=0.2 && <0.3,
vector >= 0.10 && <0.14
test-suite spec
type: exitcode-stdio-1.0
main-is: Spec.hs
hs-source-dirs: test
other-modules:
Spec.Range
Spec.Run
default-language: Haskell2010
ghc-options: -Wall
build-depends:
base -any,
bytestring -any,
random -any,
smallcheck >=1.2 && <1.3,
tasty >=1.0 && <1.5,
tasty-smallcheck >=0.8 && <0.9,
tasty-expected-failure -any,
tasty-hunit >=0.10 && <0.11
benchmark legacy-bench
type: exitcode-stdio-1.0
main-is: SimpleRNGBench.hs
hs-source-dirs: bench-legacy
other-modules: BinSearch
default-language: Haskell2010
ghc-options:
-Wall -O2 -threaded -rtsopts -with-rtsopts=-N
if impl(ghc >= 8.0)
ghc-options:
-Wno-deprecations
build-depends:
base -any,
random -any,
rdtsc -any,
split >=0.2 && <0.3,
time >=1.4 && <1.11
benchmark bench
type: exitcode-stdio-1.0
main-is: Main.hs
hs-source-dirs: bench
default-language: Haskell2010
ghc-options: -Wall -O2
build-depends:
base -any,
gauge >=0.2.3 && <0.3,
mtl,
random -any,
splitmix >=0.1 && <0.2