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>
- Reset maintainership per request by maintainer
PR: ports/128520
Submitted by: Pedro F. Giffuni <giffunip at tutopia.com>
Approved by: Eric van Gyzen <eric at vangyzen.net> (maintainer)
this GPL'd suite of random number tests will be named "Dieharder". Using a
movie sequel pun for the name is a double tribute to George Marsaglia, whose
"Diehard battery of tests" of random number generators has enjoyed years of
enduring usefulness as a test suite.
The dieharder suite is more than just the diehard tests cleaned up and given a
pretty GPL'd source face in native C: tests from the Statistical Test Suite
(STS) developed by the National Institute for Standards and Technology (NIST)
are being incorporated, as are new tests developed by rgb. Where possible,
tests are parametrized and controllable so that failure, at least, is
unambiguous.
A further design goal is to provide some indication of *why* a generator fails
a test, where such information can be extracted during the test process and
placed in usable form. For example, the bit-distribution tests should
(eventually) be able to display the actual histogram for the different bit
n-tuplets.
Dieharder is by design extensible. It is intended to be the "Swiss army knife
of random number test suites", or if you prefer, "the last suite you'll ever
ware" for testing random numbers.
WWW: http://www.phy.duke.edu/~rgb/General/dieharder.php
PR: ports/128882
Submitted by: bf <bf2006a at yahoo.com>
algorithms for generating non-uniform pseudorandom variates as a library of C
functions designed and implemented by the ARVAG (Automatic Random VAriate
Generation) project group in Vienna, and released under the GNU Public License
(GPL). It is especially designed for situations where:
- a non-standard distribution or a truncated distribution is needed;
- experiments with different types of distributions are made;
- random variates for variance reduction techniques are used; or
- fast generators of predictable quality are necessary.
UNU.RAN provides generators that are superior in many aspects to those found in
quite a number of other libraries; however, due to its more sophisticated
programming interface, it might not be as easy to use.
It uses an object-oriented interface in which distributions and generators are
treated as independent objects, so that different methods for generating
non-uniform random variates may be chosen according to various criteria, such
as speed, quality, and variance reduction. It is flexible enough to permit
sampling from non-standard distributions, such as distributions that arise in
a model and can only be computed in complicated subroutines.
WWW: http://statmath.wu-wien.ac.at/unuran/
PR: ports/128883
Submitted by: bf <bf2006a at yahoo.com>
calculus (integration and differentiation) to abstract algebra. It can plot
functions and has integrated help system.
FriCAS a fork of Axiom project -- its starting point was wh-sandbox branch
of the Axiom project.
WWW: http://fricas.sourceforge.net
PR: 128805
Submitted by: Stephen Montgomery-Smith <stephen at math dot missouri dot edu>
whether devel/py-setuptools is present or not. The setup.py installer
modifies the packing list based on that, so we have to modify pkg-plist
in kind.
- Added code to handle NOPORTEXAMPLES
- Take maintainership
PR: ports/122434
Submitted by: "Eugene M. Kim" <gene at nttmcl dot com>
