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math/hs-mwc-random: update to mwc-random-0.15.2.0
## Changes in 0.15.2.0
* Support for `random-1.3`.
## Changes in 0.15.1.0
* Additon of binomial sampler using the rejection sampling method in
Kachitvichyanukul, V. and Schmeiser, B. W. Binomial Random
Variate Generation. Communications of the ACM, 31, 2 (February,
1988) 216. <https://dl.acm.org/doi/pdf/10.1145/42372.42381>. A more
efficient basis for e.g. the beta binomial distribution:
`beta a b g >>= \p -> binomial n p g`.
Update to mwc-random-0.15.0.2
Changes in 0.15.0.2
Doctests on 32-bit platforms are fixed. (#79)
math: Replace RMD160 checksums with BLAKE2s checksums All checksums have been double-checked against existing RMD160 and SHA512 hashes
math: Remove SHA1 hashes for distfiles
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).
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
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).
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.
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.