pkgsrc - [no description]

Age	Commit message (Collapse)	Author	Files	Lines
2015-12-13	Update to 0.13.3.2	szptvlfn	3	-11/+10
	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).
2015-11-03	Add SHA512 digests for distfiles for math category	agc	1	-1/+2
	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.
2015-05-09	Because this error:	szptvlfn	2	-4/+4
	ERROR: hs-primitive>=0.5.4 is not installed; can't buildlink files. Bump PKGREVISION for hs-primitive-0.5.4.0
2014-10-18	Bump PKGREVISION for hs-vector-0.10.12.1	szptvlfn	2	-3/+4

2014-08-29	make it clear what package depend on	szptvlfn	1	-1/+2
	discussed with wiz@.
2014-08-14	Import mwc-random-0.13.2.0 as math/hs-mwc-random,	szptvlfn	5	-0/+69
	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.