random_constructible/
lib.rs

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
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
#![allow(unused_imports)]

#[macro_use] mod imports; use imports::*;

x!{rand_construct}
x!{rand_construct_enum}
x!{rand_construct_env}
x!{prim_traits}
x!{sample}
x!{impl_for_optiont}

#[cfg(test)]
mod tests {
    use super::*;
    use rand::rngs::StdRng;
    use rand::SeedableRng;
    use std::collections::HashMap;
    use std::sync::Arc;

    // Define a test enum and manually implement RandConstructEnum
    #[derive(Default,Copy, Clone, Debug, PartialEq, Eq, Hash)]
    enum ManualTestEnum {
        #[default]
        VariantX,
        VariantY,
        VariantZ,
    }

    impl RandConstructEnumWithEnv for ManualTestEnum {}

    impl RandConstructEnum for ManualTestEnum {
        fn all_variants() -> Vec<Self> {
            vec![Self::VariantX, Self::VariantY, Self::VariantZ]
        }

        fn default_weight(&self) -> f64 {
            match self {
                Self::VariantX => 2.0,
                Self::VariantY => 3.0,
                Self::VariantZ => 5.0,
            }
        }

        fn create_default_probability_map() -> Arc<HashMap<Self, f64>> {
            DefaultProvider::probability_map()
        }
    }

    // Implement the default provider using the macro
    struct DefaultProvider;

    rand_construct_env!(DefaultProvider => ManualTestEnum {
        VariantX => 2.0,
        VariantY => 3.0,
        VariantZ => 5.0,
    });

    // Implement a custom probability provider using the macro
    struct CustomProvider;

    rand_construct_env!(CustomProvider => ManualTestEnum {
        VariantX => 1.0,
        VariantY => 1.0,
        VariantZ => 8.0,
    });

    #[test]
    fn test_manual_all_variants() {
        let variants = ManualTestEnum::all_variants();
        assert_eq!(variants.len(), 3);
        assert!(variants.contains(&ManualTestEnum::VariantX));
        assert!(variants.contains(&ManualTestEnum::VariantY));
        assert!(variants.contains(&ManualTestEnum::VariantZ));
    }

    #[test]
    fn test_manual_default_weight() {
        assert_eq!(ManualTestEnum::VariantX.default_weight(), 2.0);
        assert_eq!(ManualTestEnum::VariantY.default_weight(), 3.0);
        assert_eq!(ManualTestEnum::VariantZ.default_weight(), 5.0);
    }

    #[test]
    fn test_manual_random() {
        let mut rng = StdRng::seed_from_u64(42);
        let mut counts = HashMap::new();

        for _ in 0..10000 {
            let variant = ManualTestEnum::random_with_rng(&mut rng);
            *counts.entry(variant).or_insert(0) += 1;
        }

        let total = counts.values().sum::<usize>() as f64;
        let prob_x = *counts.get(&ManualTestEnum::VariantX).unwrap_or(&0) as f64 / total;
        let prob_y = *counts.get(&ManualTestEnum::VariantY).unwrap_or(&0) as f64 / total;
        let prob_z = *counts.get(&ManualTestEnum::VariantZ).unwrap_or(&0) as f64 / total;

        // Expected probabilities: X: 0.2, Y: 0.3, Z: 0.5
        assert!((prob_x - 0.2).abs() < 0.05);
        assert!((prob_y - 0.3).abs() < 0.05);
        assert!((prob_z - 0.5).abs() < 0.05);
    }

    #[test]
    fn test_manual_uniform() {
        let mut counts = HashMap::new();

        for _ in 0..10000 {
            let variant = ManualTestEnum::uniform();
            *counts.entry(variant).or_insert(0) += 1;
        }

        let total = counts.values().sum::<usize>() as f64;
        for &count in counts.values() {
            let prob = count as f64 / total;
            assert!((prob - (1.0 / 3.0)).abs() < 0.05);
        }
    }

    #[test]
    fn test_manual_random_with_probabilities() {
        let mut rng = StdRng::seed_from_u64(42);
        let probs = CustomProvider::probability_map();

        let mut counts = HashMap::new();

        for _ in 0..10000 {
            let variant = sample_variants_with_probabilities(&mut rng, &probs);
            *counts.entry(variant).or_insert(0) += 1;
        }

        // Expected probabilities: X: 0.1, Y: 0.1, Z: 0.8
        let total = counts.values().sum::<usize>() as f64;
        let prob_x = *counts.get(&ManualTestEnum::VariantX).unwrap_or(&0) as f64 / total;
        let prob_y = *counts.get(&ManualTestEnum::VariantY).unwrap_or(&0) as f64 / total;
        let prob_z = *counts.get(&ManualTestEnum::VariantZ).unwrap_or(&0) as f64 / total;

        assert!((prob_x - 0.1).abs() < 0.02);
        assert!((prob_y - 0.1).abs() < 0.02);
        assert!((prob_z - 0.8).abs() < 0.05);
    }

    #[test]
    fn test_manual_sample_from_provider() {
        let mut rng = StdRng::seed_from_u64(42);
        let mut counts = HashMap::new();

        for _ in 0..10000 {
            let variant = ManualTestEnum::sample_from_provider::<CustomProvider, _>(&mut rng);
            *counts.entry(variant).or_insert(0) += 1;
        }

        // Expected probabilities: X: 0.1, Y: 0.1, Z: 0.8
        let total = counts.values().sum::<usize>() as f64;
        let prob_x = *counts.get(&ManualTestEnum::VariantX).unwrap_or(&0) as f64 / total;
        let prob_y = *counts.get(&ManualTestEnum::VariantY).unwrap_or(&0) as f64 / total;
        let prob_z = *counts.get(&ManualTestEnum::VariantZ).unwrap_or(&0) as f64 / total;

        assert!((prob_x - 0.1).abs() < 0.02);
        assert!((prob_y - 0.1).abs() < 0.02);
        assert!((prob_z - 0.8).abs() < 0.05);
    }
}