A Random.T (or just a generator) is a pseudo-random number
   generator.
   \index{pseudo-random number}
INTERFACEIndividual generators are unmonitored, and all the operations have side effects.Random ; TYPE T = OBJECT METHODS integer(min := FIRST(INTEGER); max := LAST(INTEGER)): INTEGER; real(min := 0.0e+0; max := 1.0e+0): REAL; longreal(min := 0.0d+0; max := 1.0d+0): LONGREAL; extended(min := 0.0x+0; max := 1.0x+0): EXTENDED; boolean(): BOOLEAN END; Default <: T OBJECT METHODS init(fixed := FALSE): Default END; END Random.
   The methods provided by a generator rand are:
   The call rand.integer(a, b) returns a uniformly distributed
   INTEGER in the closed interval [a..b].
   The call rand.real(a, b) returns a uniformly distributed REAL
   in the half-open interval [a..b).
   The call longreal and extended are like real, but return
   values of the specified types.
   The call rand.boolean() returns a random BOOLEAN value.
   It is a checked runtime error if min > max on any call.
   NEW(Default).init() creates and initializes a generator (see
   below for implementation details).  If fixed is TRUE, a
   predetermined sequence is used.  If fixed is FALSE, init
   chooses a random seed in such a way that different sequences result
   even if init is called many times in close proximity.
\paragraph*{Example.} A good pseudo-random permutation of an array a
   can be generated as follows:
      WITH rand = NEW(Random.Default).init() DO
        FOR i := FIRST(a) TO LAST(a) - 1 DO
          WITH j = rand.integer(i, LAST(a)) DO
            Exchange a[i] and a[j]
          END
        END
      END
\paragraph*{SRC Modula-3 implementation details.} The object returned
   by a call of New(Default).init uses an additive generator based
   on Knuth's Algorithm 3.2.2A (see \cite{Knuth:Vol2}).