Age | Commit message (Collapse) | Author | Files | Lines |
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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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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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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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discussed with wiz@.
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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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