ldmud-3.2.9/doc/
ldmud-3.2.9/doc/efun/
ldmud-3.2.9/mud/
ldmud-3.2.9/mud/heaven7/
ldmud-3.2.9/mud/heaven7/lib/
ldmud-3.2.9/mud/lp-245/
ldmud-3.2.9/mud/lp-245/banish/
ldmud-3.2.9/mud/lp-245/doc/
ldmud-3.2.9/mud/lp-245/doc/examples/
ldmud-3.2.9/mud/lp-245/doc/sefun/
ldmud-3.2.9/mud/lp-245/log/
ldmud-3.2.9/mud/lp-245/obj/Go/
ldmud-3.2.9/mud/lp-245/players/lars/
ldmud-3.2.9/mud/lp-245/room/death/
ldmud-3.2.9/mud/lp-245/room/maze1/
ldmud-3.2.9/mud/lp-245/room/sub/
ldmud-3.2.9/mud/lp-245/secure/
ldmud-3.2.9/mud/morgengrauen/
ldmud-3.2.9/mud/morgengrauen/lib/
ldmud-3.2.9/mud/sticklib/
ldmud-3.2.9/mud/sticklib/src/
ldmud-3.2.9/mudlib/uni-crasher/
ldmud-3.2.9/pkg/
ldmud-3.2.9/pkg/debugger/
ldmud-3.2.9/pkg/diff/
ldmud-3.2.9/pkg/misc/
ldmud-3.2.9/src/autoconf/
ldmud-3.2.9/src/bugs/
ldmud-3.2.9/src/bugs/MudCompress/
ldmud-3.2.9/src/bugs/b-020916-files/
ldmud-3.2.9/src/bugs/doomdark/
ldmud-3.2.9/src/bugs/ferrycode/ferry/
ldmud-3.2.9/src/bugs/ferrycode/obj/
ldmud-3.2.9/src/bugs/psql/
ldmud-3.2.9/src/done/
ldmud-3.2.9/src/done/order_alist/
ldmud-3.2.9/src/done/order_alist/obj/
ldmud-3.2.9/src/done/order_alist/room/
ldmud-3.2.9/src/gcc/
ldmud-3.2.9/src/gcc/2.7.0/
ldmud-3.2.9/src/gcc/2.7.1/
ldmud-3.2.9/src/hosts/
ldmud-3.2.9/src/hosts/GnuWin32/
ldmud-3.2.9/src/hosts/amiga/NetIncl/
ldmud-3.2.9/src/hosts/amiga/NetIncl/netinet/
ldmud-3.2.9/src/hosts/amiga/NetIncl/sys/
ldmud-3.2.9/src/hosts/i386/
ldmud-3.2.9/src/hosts/msdos/byacc/
ldmud-3.2.9/src/hosts/msdos/doc/
ldmud-3.2.9/src/hosts/os2/
ldmud-3.2.9/src/hosts/win32/
ldmud-3.2.9/src/util/
ldmud-3.2.9/src/util/erq/
ldmud-3.2.9/src/util/indent/hosts/next/
ldmud-3.2.9/src/util/xerq/
ldmud-3.2.9/src/util/xerq/lpc/
ldmud-3.2.9/src/util/xerq/lpc/www/
SYNOPSIS
        int random(int n)

DESCRIPTION
        Returns a number in the random range [0 .. n-1].

        The random number generator is proven to deliver an equal distribution
        of numbers over a big range, with no repetition of number sequences
        for a long time. The downside of these (desirable) qualities is that
        when generating numbers in a small range over short time, certain
        numbers        will appear far more often than others.

        The only solution is the implementation of a special simul_efun which
        takes special steps to implement an equal distribution over small
        ranges and short times.