forked from pool/ghc-mwc-random
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vendored
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.osc
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-------------------------------------------------------------------
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Tue Jul 9 17:21:28 UTC 2024 - Peter Simons <psimons@suse.com>
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- Update mwc-random to version 0.15.1.0.
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## Changes in 0.15.1.0
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* Additon of binomial sampler using the rejection sampling method in
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Kachitvichyanukul, V. and Schmeiser, B. W. Binomial Random
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Variate Generation. Communications of the ACM, 31, 2 (February,
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1988) 216. <https://dl.acm.org/doi/pdf/10.1145/42372.42381>. A more
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efficient basis for e.g. the beta binomial distribution:
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`beta a b g >>= \p -> binomial n p g`.
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-------------------------------------------------------------------
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-------------------------------------------------------------------
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Thu Mar 30 17:07:39 UTC 2023 - Peter Simons <psimons@suse.com>
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Thu Mar 30 17:07:39 UTC 2023 - Peter Simons <psimons@suse.com>
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@ -1,7 +1,7 @@
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#
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#
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# spec file for package ghc-mwc-random
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# spec file for package ghc-mwc-random
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#
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#
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# Copyright (c) 2024 SUSE LLC
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# Copyright (c) 2023 SUSE LLC
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#
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#
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# All modifications and additions to the file contributed by third parties
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# remain the property of their copyright owners, unless otherwise agreed
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@ -20,12 +20,13 @@
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%global pkgver %{pkg_name}-%{version}
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%global pkgver %{pkg_name}-%{version}
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%bcond_with tests
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%bcond_with tests
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Name: ghc-%{pkg_name}
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Name: ghc-%{pkg_name}
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Version: 0.15.1.0
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Version: 0.15.0.2
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Release: 0
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Release: 0
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Summary: Fast, high quality pseudo random number generation
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Summary: Fast, high quality pseudo random number generation
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License: BSD-2-Clause
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License: BSD-2-Clause
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URL: https://hackage.haskell.org/package/%{pkg_name}
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URL: https://hackage.haskell.org/package/%{pkg_name}
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Source0: https://hackage.haskell.org/package/%{pkg_name}-%{version}/%{pkg_name}-%{version}.tar.gz
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Source0: https://hackage.haskell.org/package/%{pkg_name}-%{version}/%{pkg_name}-%{version}.tar.gz
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Source1: https://hackage.haskell.org/package/%{pkg_name}-%{version}/revision/1.cabal#/%{pkg_name}.cabal
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BuildRequires: ghc-Cabal-devel
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BuildRequires: ghc-Cabal-devel
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BuildRequires: ghc-base-devel
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BuildRequires: ghc-base-devel
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BuildRequires: ghc-base-prof
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BuildRequires: ghc-base-prof
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@ -48,8 +49,6 @@ BuildRequires: ghc-bytestring-devel
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BuildRequires: ghc-bytestring-prof
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BuildRequires: ghc-bytestring-prof
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BuildRequires: ghc-doctest-devel
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BuildRequires: ghc-doctest-devel
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BuildRequires: ghc-doctest-prof
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BuildRequires: ghc-doctest-prof
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BuildRequires: ghc-mtl-devel
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BuildRequires: ghc-mtl-prof
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BuildRequires: ghc-tasty-devel
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BuildRequires: ghc-tasty-devel
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BuildRequires: ghc-tasty-hunit-devel
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BuildRequires: ghc-tasty-hunit-devel
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BuildRequires: ghc-tasty-hunit-prof
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BuildRequires: ghc-tasty-hunit-prof
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@ -61,11 +60,14 @@ BuildRequires: ghc-tasty-quickcheck-prof
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%description
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%description
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This package contains code for generating high quality random numbers that
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This package contains code for generating high quality random numbers that
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follow either a uniform or normal distribution. The generated numbers are
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follow either a uniform or normal distribution. The generated numbers are
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suitable for use in statistical applications. . The uniform PRNG uses
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suitable for use in statistical applications.
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Marsaglia's MWC256 (also known as MWC8222) multiply-with-carry generator, which
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has a period of 2^8222 and fares well in tests of randomness. It is also
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The uniform PRNG uses Marsaglia's MWC256 (also known as MWC8222)
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extremely fast, between 2 and 3 times faster than the Mersenne Twister.
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multiply-with-carry generator, which has a period of 2^8222 and fares well in
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. Compared to the mersenne-random package, this package has a more convenient
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tests of randomness. It is also extremely fast, between 2 and 3 times faster
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than the Mersenne Twister.
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Compared to the mersenne-random package, this package has a more convenient
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API, is faster, and supports more statistical distributions.
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API, is faster, and supports more statistical distributions.
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%package devel
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%package devel
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@ -96,6 +98,7 @@ This package provides the Haskell %{pkg_name} profiling library.
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%prep
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%prep
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%autosetup -n %{pkg_name}-%{version}
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%autosetup -n %{pkg_name}-%{version}
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cp -p %{SOURCE1} %{pkg_name}.cabal
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%build
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%build
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%ghc_lib_build
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%ghc_lib_build
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@ -116,7 +119,7 @@ This package provides the Haskell %{pkg_name} profiling library.
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%license LICENSE
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%license LICENSE
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%files devel -f %{name}-devel.files
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%files devel -f %{name}-devel.files
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%doc README.md changelog.md docs
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%doc README.markdown changelog.md
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%files -n ghc-%{pkg_name}-doc -f ghc-%{pkg_name}-doc.files
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%files -n ghc-%{pkg_name}-doc -f ghc-%{pkg_name}-doc.files
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%license LICENSE
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%license LICENSE
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3
mwc-random-0.15.0.2.tar.gz
Normal file
3
mwc-random-0.15.0.2.tar.gz
Normal file
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version https://git-lfs.github.com/spec/v1
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oid sha256:35d64d5d6f8e93321d36952cf9ab64e21a9cad642ba39aa7378d88aa08afc25b
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size 26591
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@ -1,3 +0,0 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:032bf9bd65054dc0def9bf037ea6a8f91a5cefe77ada18bee98598b045c3e2c8
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size 42553
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112
mwc-random.cabal
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112
mwc-random.cabal
Normal file
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name: mwc-random
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version: 0.15.0.2
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x-revision: 1
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synopsis: Fast, high quality pseudo random number generation
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description:
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This package contains code for generating high quality random
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numbers that follow either a uniform or normal distribution. The
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generated numbers are suitable for use in statistical applications.
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.
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The uniform PRNG uses Marsaglia's MWC256 (also known as MWC8222)
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multiply-with-carry generator, which has a period of 2^8222 and
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fares well in tests of randomness. It is also extremely fast,
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between 2 and 3 times faster than the Mersenne Twister.
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.
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Compared to the mersenne-random package, this package has a more
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convenient API, is faster, and supports more statistical
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distributions.
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license: BSD3
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license-file: LICENSE
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homepage: https://github.com/bos/mwc-random
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bug-reports: https://github.com/bos/mwc-random/issues
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author: Bryan O'Sullivan <bos@serpentine.com>
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maintainer: Bryan O'Sullivan <bos@serpentine.com>
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copyright: 2009, 2010, 2011 Bryan O'Sullivan
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category: Math, Statistics
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build-type: Simple
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cabal-version: >= 1.10
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extra-source-files:
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changelog.md
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README.markdown
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tested-with:
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GHC ==7.10.3
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|| ==8.0.2
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, GHCJS ==8.4
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library
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default-language: Haskell2010
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exposed-modules: System.Random.MWC
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System.Random.MWC.Distributions
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System.Random.MWC.CondensedTable
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System.Random.MWC.SeedSource
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build-depends: base >= 4.8 && < 5
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, primitive >= 0.6.2
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, random >= 1.2
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, time
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, vector >= 0.7
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, math-functions >= 0.2.1.0
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ghc-options: -Wall -funbox-strict-fields -fwarn-tabs
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source-repository head
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type: git
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location: git://github.com/bos/mwc-random
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source-repository head
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type: mercurial
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location: https://bitbucket.org/bos/mwc-random
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benchmark mwc-bench
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type: exitcode-stdio-1.0
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hs-source-dirs: bench
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main-is: Benchmark.hs
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default-language: Haskell2010
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build-depends: base < 5
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, vector >= 0.11
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, gauge >= 0.2.5
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, mersenne-random
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, mwc-random
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, random
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test-suite mwc-prop-tests
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type: exitcode-stdio-1.0
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hs-source-dirs: tests
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main-is: props.hs
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default-language: Haskell2010
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ghc-options:
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-Wall -threaded -rtsopts
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build-depends: base
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, mwc-random
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, QuickCheck >=2.2
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, vector >=0.12.1
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, tasty >=1.3.1
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, tasty-quickcheck
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, tasty-hunit
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test-suite mwc-doctests
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type: exitcode-stdio-1.0
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main-is: doctests.hs
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hs-source-dirs: tests
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default-language: Haskell2010
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if impl(ghcjs) || impl(ghc < 8.0)
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Buildable: False
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build-depends:
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base -any
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, mwc-random -any
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, doctest >=0.15 && <0.20
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--
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, bytestring
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, primitive
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, vector >=0.11
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, random >=1.2
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