1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
pub mod rand {
    const PI: f64 = 3.141592654;
    const RAND_MAX: f64  = 2147483647.0;
    
    pub enum Style {
        PMrand,
        Gauss,
        BMrand,
        Marsaglia,
        Lazy,
    }

    pub struct Rand {
        style: Style,
        seed: i64,
        attachment: Vec<f64>,
    }

    impl Rand {
        pub fn new(style: Style) -> Self {
            Rand {
                style: style,
                seed: 1,
                attachment: Vec::new(),
            }
        }
        
        pub fn srand(&mut self, seed: i64) {
            self.seed = seed;
        }

        pub fn get_rand(&mut self) -> f64 {
            match self.style {
                Style::PMrand => {
                    self.seed = Rand::pmrand(self.seed, 48271);
                    self.seed as f64 / RAND_MAX
                }
                Style::Gauss => {
                    Rand::gauss(&mut self.seed, 25) / RAND_MAX
                }
                Style::BMrand => {
                    Rand::bmrand(&mut self.seed, &mut self.attachment) / RAND_MAX
                }
				Style::Marsaglia => {
					Rand::marsaglia(&mut self.seed, &mut self.attachment) / RAND_MAX
				}
                _ => {
                    self.seed = Rand::lazy(self.seed);
                    self.seed as f64 / RAND_MAX
                }
            }
        }
        

        fn pmrand(seed: i64, a: i64) -> i64 {
            let m = RAND_MAX as i64;
            let q = m / a;
            let r = m % a;
            let hi = seed / q;
            let lo = seed % q;
            let test = a * lo - r * hi;
            if test > 0 { test } else { test + m }
        }
        
        fn gauss(seed: &mut i64, nsum: i64) -> f64 {
            let mut x = 0.0;
            for _ in 0..nsum {
                *seed = Rand::pmrand(*seed, 48271);
                x += *seed as f64/ RAND_MAX;
            }
            x -= nsum as f64 / 2.0;
            x /= (nsum as f64 / 12.0).sqrt();
            x
        }
        
        fn bmrand(seed: &mut i64, attachment: &mut Vec<f64>) -> f64 {
            // FIXME: value assigned to `z` is never read
            let mut z = 0.0;
            if attachment.len() == 0 {
                attachment.push(0.0);
                attachment.push(0.0);
                attachment.push(0.0);
            }
            if attachment[2] == 0.0 {
                *seed = Rand::pmrand(*seed, 48271);
                attachment[0] = (*seed as f64 + 1.0) / (RAND_MAX + 2.0);
                *seed = Rand::pmrand(*seed, 48271);
                attachment[1] = *seed as f64 / (RAND_MAX + 1.0);
                z = (2.0 * PI * attachment[1]).sin();
            } else {
                z = (2.0 * PI * attachment[1]).cos();
            }
            z *= (-2.0 * attachment[0].log(10.0)).sqrt();
            attachment[2] = 1.0 - attachment[2];
            z
        }
        
        fn marsaglia(seed: &mut i64, attachment: &mut Vec<f64>) -> f64 {
            let mut x: f64 = 0.0;
            if attachment.len() == 0 {
                attachment.push(0.0);
                attachment.push(0.0);
                attachment.push(0.0);
				attachment.push(0.0);
            }
			if attachment[3] == 0.0 {
				loop {
					*seed = Rand::pmrand(*seed, 48271);
					let u1 = *seed as f64 / RAND_MAX;
					*seed = Rand::pmrand(*seed, 48271);
					let u2 = *seed as f64 / RAND_MAX;
					attachment[0] = 2.0 * u1 - 1.0;
					attachment[1] = 2.0 * u2 - 1.0;
					attachment[2] = attachment[0] * attachment[0] + attachment[1] * attachment[1];
					if attachment[2] < 1.0 && attachment[2] != 0.0 {
						break;
					}
				}
				x = attachment[0] * (-2.0 * attachment[2].log(10.0) / attachment[2]);
			} else {
				x = attachment[1] * (-2.0 * attachment[2].log(10.0) / attachment[2]);
			}
			attachment[3] = 1.0 - attachment[3];
            x
        }

        fn lazy(seed: i64) -> i64 {
            Rand::pmrand(seed, 16807)
        }
    }
}