| Commit message (Collapse) | Author | Age | Files | Lines |
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With hat: portmgr
Sponsored by: Absolight
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svn path=/head/; revision=412348
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- Remove CONFIG_SHELL from CONFIGURE_ENV because bsd.port.mk handles that
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svn path=/head/; revision=384215
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svn path=/head/; revision=372555
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Approved by: portmgr (blanket)
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svn path=/head/; revision=360499
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2: USES=libtool, bump version.
Approved by: portmgr@
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svn path=/head/; revision=358377
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svn path=/head/; revision=347776
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math)
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Reported by: S.-M. Silber [1]
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svn path=/head/; revision=298795
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- Fix all ports that add {CPP,LD}FLAGS to *_ENV to modify flags instead
PR: 157936
Submitted by: myself
Exp-runs by: pav
Approved by: pav
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svn path=/head/; revision=282282
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svn path=/head/; revision=280042
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in port Makefiles, and MD5 entries in distinfo
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svn path=/head/; revision=271779
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svn path=/head/; revision=271346
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svn path=/head/; revision=257520
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PR: ports/144487
Submitted by: ale
Approved by: portmgr (-exp run by erwin)
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svn path=/head/; revision=252906
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Submitted by: maintainer via private mail
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svn path=/head/; revision=246723
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PR: 138014
Submitted by: bf <bf1783@gmail.com> (maintainer)
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svn path=/head/; revision=240123
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Submitted by: "b. f." <bf1783@gmail.com> (maintainer via private mail)
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svn path=/head/; revision=235373
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offering a collection of utilities for the empirical statistical testing
of uniform random number generators.
The library implements several types of random number generators in generic
form, as well as many specific generators proposed in the literature or
found in widely-used software. It provides general implementations of the
classical statistical tests for random number generators, as well as several
others proposed in the literature, and some original ones. These tests can
be applied to the generators predefined in the library and to user-defined
generators. Specific tests suites for either sequences of uniform random
numbers in [0,1] or bit sequences are also available. Basic tools for
plotting vectors of points produced by generators are provided as well.
Additional software permits one to perform systematic studies of the
interaction between a specific test and the structure of the point sets
produced by a given family of random number generators. That is, for a given
kind of test and a given class of random number generators, to determine how
large should be the sample size of the test, as a function of the generator's
period length, before the generator starts to fail the test systematically.
WWW: http://www.iro.umontreal.ca/~simardr/testu01/tu01.html
PR: ports/128861
Submitted by: bf <bf2006a at yahoo.com>
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svn path=/head/; revision=223948
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