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Improve generation of pseudo-random integers. (#99720, Morten Welinder
2002-12-10 Sebastian Wilhelmi <wilhelmi@ira.uka.de> * glib/grand.c (g_rand_int_range): Improve generation of pseudo-random integers. (#99720, Morten Welinder <terra@diku.dk>) * README.in, docs/reference/glib/running.sgml, docs/reference/glib/tmpl/random_numbers.sgml, docs/reference/glib/changes.sgml: Added notes about the new algorithm. 2CVS: ----------------------------------------------------------------------
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Sebastian Wilhelmi
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@@ -23,7 +23,10 @@ Incompatible changes made between successing versions of GLib
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GLib changed the seeding algorithm for the pseudo-random number
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generator Mersenne Twister, as used by <structname>GRand</structname>
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and <structname>GRandom</structname>. This was necessary, because some
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seeds would yield very bad pseudo-random streams.
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seeds would yield very bad pseudo-random streams. Also the
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pseudo-random integers generated by
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<function>g_rand*_int_range()</function> will have a
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slightly better equal distribution with the new version of GLib.
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</para>
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<para>
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@@ -33,12 +36,13 @@ url="http://www.math.keio.ac.jp/~matumoto/emt.html">http://www.math.keio.ac.jp/~
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</para>
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<para>
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The original seeding algorithm, as found in GLib 2.0.x, can be used
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instead of the new one by setting the environment variable
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<envar>G_RANDOM_VERSION</envar> to the value of '2.0'. Use the
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GLib-2.0 algorithm only if you have sequences of numbers generated
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with Glib-2.0 that you need to reproduce exactly.
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The original seeding and generation algorithms, as found in GLib
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2.0.x, can be used instead of the new ones by setting the environment
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variable <envar>G_RANDOM_VERSION</envar> to the value of '2.0'. Use
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the GLib-2.0 algorithms only if you have sequences of numbers generated
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with Glib-2.0 that you need to reproduce exactly.
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</para>
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</listitem>
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</itemizedlist>
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@@ -67,12 +67,13 @@ variables like <envar>LANG</envar>, <envar>PATH</envar> or <envar>HOME</envar>.
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<para>
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If this environment variable is set to '2.0', the outdated
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pseudo-random number seeding algorithm from GLib-2.0 is used
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instead of the new better one. Use the GLib-2.0 algorithm only if
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you have sequences of numbers generated with Glib-2.0 that you
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need to reproduce exactly.
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</para>
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pseudo-random number seeding and generation algorithms from
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GLib-2.0 are used instead of the new better ones. Use the GLib-2.0
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algorithms only if you have sequences of numbers generated with
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Glib-2.0 that you need to reproduce exactly.
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</para>
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</formalpara>
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</refsect2>
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<refsect2>
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