2021-05-03 21:01:21 by Masatake Daimon | Files touched by this commit (475) |
Log message:
*: Bump PKGREVISION for ghc-9.0.1
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2021-04-24 14:17:06 by Masatake Daimon | Files touched by this commit (4) |
Log message:
Update to mwc-random-0.15.0.1
Changes in 0.15.0.1
* Bug in generation of Int/Word in both uniform and uniformR is
fixed. (#75)
Changes in 0.15.0.0
* withSystemRandomST and createSystemSeed are added.
* withSystemRandom is deprecated.
* random>=1.2 is dependency of mwc-random.
* Instances for type classes StatefulGen & FrozenGen defined in
random-1.2 are added for Gen.
* Functions in System.Random.MWC.Distributions and
System.Random.MWC.CondensedTable now work with arbitrary StatefulGen
* System.Random.MWC.uniformVector now works with arbitrary StatefulGen
as well and uses in-place initialization instead of generateM. It
should be faster for anything but IO and ST (those shoud remain
same).
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2020-05-13 06:53:17 by Roland Illig | Files touched by this commit (18) |
Log message:
hs-*: add PLIST files for a few more Haskell packages
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2020-01-02 12:34:29 by Masatake Daimon | Files touched by this commit (4) |
Log message:
Update to mwc-random-0.14.0.0
Changes in 0.14.0.0
* Low level functions for acquiring random data for initialization of
PRGN state is moved to System.Random.MWC.SeedSource module
* Ensure that carry is always correct when restoring PRNG state from
seed. Only affects users who create 258 element seed manually. (#63,
#65)
Changes in 0.13.6.0
* tablePoisson now can handle λ>1923, see #59 for details. That
required intoduction of dependency on math-functions.
Changes in 0.13.5.0
* logCategorical added
Changes in 0.13.4.0
* withSystemRandom uses RtlGenRandom for seeding generator on windows
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2015-12-13 15:10:14 by Ryosuke Moro | Files touched by this commit (3) |
Log message:
Update to 0.13.3.2
ChangeLog:
Changes in 0.13.3.1
* primitive-0.6 compatibility
Changes in 0.13.3.0
* Monadic variant of vector shuffle added: `uniformShuffleM`
* Context on `uniformShuffle` loosened
Changes in 0.13.2.2
* Fixed crash during gen. initialization on Windows when stderr
is not available (#36).
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2015-11-04 00:33:46 by Alistair G. Crooks | Files touched by this commit (262) |
Log message:
Add SHA512 digests for distfiles for math category
Problems found locating distfiles:
Package dfftpack: missing distfile dfftpack-20001209.tar.gz
Package eispack: missing distfile eispack-20001130.tar.gz
Package fftpack: missing distfile fftpack-20001130.tar.gz
Package linpack: missing distfile linpack-20010510.tar.gz
Package minpack: missing distfile minpack-20001130.tar.gz
Package odepack: missing distfile odepack-20001130.tar.gz
Package py-networkx: missing distfile networkx-1.10.tar.gz
Package py-sympy: missing distfile sympy-0.7.6.1.tar.gz
Package quadpack: missing distfile quadpack-20001130.tar.gz
Otherwise, existing SHA1 digests verified and found to be the same on
the machine holding the existing distfiles (morden). All existing
SHA1 digests retained for now as an audit trail.
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2015-05-09 13:22:26 by Ryosuke Moro | Files touched by this commit (18) |
Log message:
Because this error:
ERROR: hs-primitive>=0.5.4 is not installed; can't buildlink files.
Bump PKGREVISION for hs-primitive-0.5.4.0
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2014-10-18 23:28:59 by Ryosuke Moro | Files touched by this commit (10) |
Log message:
Bump PKGREVISION for hs-vector-0.10.12.1
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2014-08-29 16:08:42 by Ryosuke Moro | Files touched by this commit (61) |
Log message:
make it clear what package depend on
discussed with wiz@.
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2014-08-14 23:57:25 by Ryosuke Moro | Files touched by this commit (5) |
Log message:
Import mwc-random-0.13.2.0 as math/hs-mwc-random,
packaged for wip.
This package contains code for generating high quality random numbers that
follow either a uniform or normal distribution. The generated numbers are
suitable for use in statistical applications.
The uniform PRNG uses Marsaglia's MWC256 (also known as MWC8222)
multiply-with-carry generator, which has a period of 2^8222 and fares well
in tests of randomness. It is also extremely fast, between 2 and 3 times
faster than the Mersenne Twister.
Compared to the mersenne-random package, this package has a more convenient
API, is faster, and supports more statistical distributions.
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