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
use std::cell::Cell;

cfg_rt! {
    use std::sync::Mutex;

    /// A deterministic generator for seeds (and other generators).
    ///
    /// Given the same initial seed, the generator will output the same sequence of seeds.
    ///
    /// Since the seed generator will be kept in a runtime handle, we need to wrap `FastRand`
    /// in a Mutex to make it thread safe. Different to the `FastRand` that we keep in a
    /// thread local store, the expectation is that seed generation will not need to happen
    /// very frequently, so the cost of the mutex should be minimal.
    #[derive(Debug)]
    pub(crate) struct RngSeedGenerator {
        /// Internal state for the seed generator. We keep it in a Mutex so that we can safely
        /// use it across multiple threads.
        state: Mutex<FastRand>,
    }

    impl RngSeedGenerator {
        /// Returns a new generator from the provided seed.
        pub(crate) fn new(seed: RngSeed) -> Self {
            Self {
                state: Mutex::new(FastRand::new(seed)),
            }
        }

        /// Returns the next seed in the sequence.
        pub(crate) fn next_seed(&self) -> RngSeed {
            let rng = self
                .state
                .lock()
                .expect("RNG seed generator is internally corrupt");

            let s = rng.fastrand();
            let r = rng.fastrand();

            RngSeed::from_pair(s, r)
        }

        /// Directly creates a generator using the next seed.
        pub(crate) fn next_generator(&self) -> Self {
            RngSeedGenerator::new(self.next_seed())
        }
    }
}

/// A seed for random number generation.
///
/// In order to make certain functions within a runtime deterministic, a seed
/// can be specified at the time of creation.
#[allow(unreachable_pub)]
#[derive(Clone, Debug)]
pub struct RngSeed {
    s: u32,
    r: u32,
}

impl RngSeed {
    /// Creates a random seed using loom internally.
    pub(crate) fn new() -> Self {
        Self::from_u64(crate::loom::rand::seed())
    }

    cfg_unstable! {
        /// Generates a seed from the provided byte slice.
        ///
        /// # Example
        ///
        /// ```
        /// # use tokio::runtime::RngSeed;
        /// let seed = RngSeed::from_bytes(b"make me a seed");
        /// ```
        #[cfg(feature = "rt")]
        pub fn from_bytes(bytes: &[u8]) -> Self {
            use std::{collections::hash_map::DefaultHasher, hash::Hasher};

            let mut hasher = DefaultHasher::default();
            hasher.write(bytes);
            Self::from_u64(hasher.finish())
        }
    }

    fn from_u64(seed: u64) -> Self {
        let one = (seed >> 32) as u32;
        let mut two = seed as u32;

        if two == 0 {
            // This value cannot be zero
            two = 1;
        }

        Self::from_pair(one, two)
    }

    fn from_pair(s: u32, r: u32) -> Self {
        Self { s, r }
    }
}
/// Fast random number generate.
///
/// Implement xorshift64+: 2 32-bit xorshift sequences added together.
/// Shift triplet `[17,7,16]` was calculated as indicated in Marsaglia's
/// Xorshift paper: <https://www.jstatsoft.org/article/view/v008i14/xorshift.pdf>
/// This generator passes the SmallCrush suite, part of TestU01 framework:
/// <http://simul.iro.umontreal.ca/testu01/tu01.html>
#[derive(Debug)]
pub(crate) struct FastRand {
    one: Cell<u32>,
    two: Cell<u32>,
}

impl FastRand {
    /// Initializes a new, thread-local, fast random number generator.
    pub(crate) fn new(seed: RngSeed) -> FastRand {
        FastRand {
            one: Cell::new(seed.s),
            two: Cell::new(seed.r),
        }
    }

    /// Replaces the state of the random number generator with the provided seed, returning
    /// the seed that represents the previous state of the random number generator.
    ///
    /// The random number generator will become equivalent to one created with
    /// the same seed.
    #[cfg(feature = "rt")]
    pub(crate) fn replace_seed(&self, seed: RngSeed) -> RngSeed {
        let old_seed = RngSeed::from_pair(self.one.get(), self.two.get());

        self.one.replace(seed.s);
        self.two.replace(seed.r);

        old_seed
    }

    #[cfg(any(feature = "macros", feature = "rt-multi-thread"))]
    pub(crate) fn fastrand_n(&self, n: u32) -> u32 {
        // This is similar to fastrand() % n, but faster.
        // See https://lemire.me/blog/2016/06/27/a-fast-alternative-to-the-modulo-reduction/
        let mul = (self.fastrand() as u64).wrapping_mul(n as u64);
        (mul >> 32) as u32
    }

    fn fastrand(&self) -> u32 {
        let mut s1 = self.one.get();
        let s0 = self.two.get();

        s1 ^= s1 << 17;
        s1 = s1 ^ s0 ^ s1 >> 7 ^ s0 >> 16;

        self.one.set(s0);
        self.two.set(s1);

        s0.wrapping_add(s1)
    }
}