MRG32k3a Combined recursive generator (pseudo-code)

   /* Constants */
   /* First generator */
   a1 = [0, 1403580, -810728]
   m1 = 2**32 - 209
   /* Second Generator */
   a2 = [527612, 0, -1370589]
   m2 = 2**32 - 22853
    
   d = m1 + 1
   
   class MRG32k3a
       x1 = [0, 0, 0]  /* list of three last values of gen #1 */
       x2 = [0, 0, 0]  /* list of three last values of gen #2 */
       
       method seed(u64 seed_state)
           assert seed_state in range >0 and < d 
           x1 = [seed_state, 0, 0]
           x2 = [seed_state, 0, 0]
       end method
           
       method next_int()
           x1i = (a1[0]*x1[0] + a1[1]*x1[1] + a1[2]*x1[2]) mod m1
           x2i = (a2[0]*x2[0] + a2[1]*x2[1] + a2[2]*x2[2]) mod m2
           x1 = [x1i, x1[0], x1[1]]    /* Keep last three */
           x2 = [x2i, x2[0], x2[1]]    /* Keep last three */
           z = (x1i - x2i) % m1
           answer = (z + 1)
           
           return answer
       end method
       
       method next_float():
           return float next_int() / d
       end method
       
   end class


MRG32k3a Use:
   random_gen = instance MRG32k3a
   random_gen.seed(1234567)
   print(random_gen.next_int())   /* 1459213977 */
   print(random_gen.next_int())   /* 2827710106 */
   print(random_gen.next_int())   /* 4245671317 */
   print(random_gen.next_int())   /* 3877608661 */
   print(random_gen.next_int())   /* 2595287583 */
   
       

Task
 Generate a class/set of functions that generates pseudo-random
numbers as shown above.

 Show that the first five integers generated with the seed `1234567`
are as shown above

 Show that for an initial seed of '987654321' the counts of 100_000
repetitions of

   floor(random_gen.next_float() * 5)

Is as follows:

   0: 20002, 1: 20060, 2: 19948, 3: 20059, 4: 19931

 Show your output here, on this page.


const a1 = [0, 1403580, -810728]
const m1 = 2^32 - 209
const a2 = [527612, 0, -1370589]
const m2 = 2^32 - 22853
const d = m1 + 1
 
mutable struct MRG32k3a
    x1::Tuple{Int64, Int64, Int64}
    x2::Tuple{Int64, Int64, Int64}
    MRG32k3a() = new((0, 0, 0), (0, 0, 0))
    MRG32k3a(seed_state) = new((seed_state, 0, 0), (seed_state, 0, 0))
end
seed(sd) = begin @assert(0 < sd < d); MRG32k3a(sd) end
 
function next_int(x::MRG32k3a)
    x1i = mod1(a1[1] * x.x1[1] + a1[2] * x.x1[2] + a1[3] * x.x1[3], m1)
    x2i = mod1(a2[1] * x.x2[1] + a2[2] * x.x2[2] + a2[3] * x.x2[3], m2)
    x.x1 = (x1i, x.x1[1], x.x1[2])
    x.x2 = (x2i, x.x2[1], x.x2[2])
    return mod1(x1i - x2i, m1) + 1
end
 
next_float(x::MRG32k3a) = next_int(x) / d
 
const g1 = seed(1234567)
for _ in 1:5
    println(next_int(g1))
end
const g2 = seed(987654321)
hist = fill(0, 5)
for _ in 1:100_000
    hist[Int(floor(next_float(g2) * 5)) + 1] += 1
end
foreach(p -> print(p[1], ": ", p[2], "  "), enumerate(hist))
 