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author | Indrajith K L | 2022-12-03 17:00:20 +0530 |
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committer | Indrajith K L | 2022-12-03 17:00:20 +0530 |
commit | f5c4671bfbad96bf346bd7e9a21fc4317b4959df (patch) | |
tree | 2764fc62da58f2ba8da7ed341643fc359873142f /v_windows/v/vlib/rand/mt19937/mt19937.v | |
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Diffstat (limited to 'v_windows/v/vlib/rand/mt19937/mt19937.v')
-rw-r--r-- | v_windows/v/vlib/rand/mt19937/mt19937.v | 325 |
1 files changed, 325 insertions, 0 deletions
diff --git a/v_windows/v/vlib/rand/mt19937/mt19937.v b/v_windows/v/vlib/rand/mt19937/mt19937.v new file mode 100644 index 0000000..256fc06 --- /dev/null +++ b/v_windows/v/vlib/rand/mt19937/mt19937.v @@ -0,0 +1,325 @@ +// Copyright (c) 2019-2021 Alexander Medvednikov. All rights reserved. +// Use of this source code is governed by an MIT license +// that can be found in the LICENSE file. +module mt19937 + +import math.bits + +/* +C++ functions for MT19937, with initialization improved 2002/2/10. + Coded by Takuji Nishimura and Makoto Matsumoto. + This is a faster version by taking Shawn Cokus's optimization, + Matthe Bellew's simplification, Isaku Wada's real version. + + Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura, + All rights reserved. + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions + are met: + + 1. Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + + 2. Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + + 3. The names of its contributors may not be used to endorse or promote + products derived from this software without specific prior written + permission. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS + "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT + LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR + A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR + CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, + EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, + PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR + PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF + LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING + NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS + SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + + + Any feedback is very welcome. + http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/emt.html + email: m-mat @ math.sci.hiroshima-u.ac.jp (remove space) +*/ +const ( + nn = 312 + mm = 156 + matrix_a = 0xB5026F5AA96619E9 + um = 0xFFFFFFFF80000000 + lm = 0x7FFFFFFF + inv_f64_limit = 1.0 / 9007199254740992.0 +) + +// MT19937RNG is generator that uses the Mersenne Twister algorithm with period 2^19937. +// **NOTE**: The RNG is not seeded when instantiated so remember to seed it before use. +pub struct MT19937RNG { +mut: + state []u64 = []u64{len: mt19937.nn} + mti int = mt19937.nn + next_rnd u32 + has_next bool +} + +// calculate_state returns a random state array calculated from the `seed_data`. +fn calculate_state(seed_data []u32, mut state []u64) []u64 { + lo := u64(seed_data[0]) + hi := u64(seed_data[1]) + state[0] = u64((hi << 32) | lo) + for j := 1; j < mt19937.nn; j++ { + state[j] = u64(6364136223846793005) * (state[j - 1] ^ (state[j - 1] >> 62)) + u64(j) + } + return *state +} + +// seed sets the current random state based on `seed_data`. +// seed expects `seed_data` to be only two `u32`s in little-endian format as [lower, higher]. +pub fn (mut rng MT19937RNG) seed(seed_data []u32) { + if seed_data.len != 2 { + eprintln('mt19937 needs only two 32bit integers as seed: [lower, higher]') + exit(1) + } + // calculate 2 times because MT19937RNG init didn't call calculate_state. + rng.state = calculate_state(seed_data, mut rng.state) + rng.state = calculate_state(seed_data, mut rng.state) + rng.mti = mt19937.nn + rng.next_rnd = 0 + rng.has_next = false +} + +// u32 returns a pseudorandom 32bit int in range `[0, 2³²)`. +[inline] +pub fn (mut rng MT19937RNG) u32() u32 { + if rng.has_next { + rng.has_next = false + return rng.next_rnd + } + ans := rng.u64() + rng.next_rnd = u32(ans >> 32) + rng.has_next = true + return u32(ans & 0xffffffff) +} + +// u64 returns a pseudorandom 64bit int in range `[0, 2⁶⁴)`. +[inline] +pub fn (mut rng MT19937RNG) u64() u64 { + mag01 := [u64(0), u64(mt19937.matrix_a)] + mut x := u64(0) + mut i := int(0) + if rng.mti >= mt19937.nn { + for i = 0; i < mt19937.nn - mt19937.mm; i++ { + x = (rng.state[i] & mt19937.um) | (rng.state[i + 1] & mt19937.lm) + rng.state[i] = rng.state[i + mt19937.mm] ^ (x >> 1) ^ mag01[int(x & 1)] + } + for i < mt19937.nn - 1 { + x = (rng.state[i] & mt19937.um) | (rng.state[i + 1] & mt19937.lm) + rng.state[i] = rng.state[i + (mt19937.mm - mt19937.nn)] ^ (x >> 1) ^ mag01[int(x & 1)] + i++ + } + x = (rng.state[mt19937.nn - 1] & mt19937.um) | (rng.state[0] & mt19937.lm) + rng.state[mt19937.nn - 1] = rng.state[mt19937.mm - 1] ^ (x >> 1) ^ mag01[int(x & 1)] + rng.mti = 0 + } + x = rng.state[rng.mti] + rng.mti++ + x ^= (x >> 29) & 0x5555555555555555 + x ^= (x << 17) & 0x71D67FFFEDA60000 + x ^= (x << 37) & 0xFFF7EEE000000000 + x ^= (x >> 43) + return x +} + +// int returns a 32-bit signed (possibly negative) `int`. +[inline] +pub fn (mut rng MT19937RNG) int() int { + return int(rng.u32()) +} + +// i64 returns a 64-bit signed (possibly negative) `i64`. +[inline] +pub fn (mut rng MT19937RNG) i64() i64 { + return i64(rng.u64()) +} + +// int31 returns a 31bit positive pseudorandom `int`. +[inline] +pub fn (mut rng MT19937RNG) int31() int { + return int(rng.u32() >> 1) +} + +// int63 returns a 63bit positive pseudorandom `i64`. +[inline] +pub fn (mut rng MT19937RNG) int63() i64 { + return i64(rng.u64() >> 1) +} + +// u32n returns a 32bit `u32` in range `[0, max)`. +[inline] +pub fn (mut rng MT19937RNG) u32n(max u32) u32 { + if max == 0 { + eprintln('max must be positive integer.') + exit(1) + } + // Check SysRNG in system_rng.c.v for explanation + bit_len := bits.len_32(max) + if bit_len == 32 { + for { + value := rng.u32() + if value < max { + return value + } + } + } else { + mask := (u32(1) << (bit_len + 1)) - 1 + for { + value := rng.u32() & mask + if value < max { + return value + } + } + } + return u32(0) +} + +// u64n returns a 64bit `u64` in range `[0, max)`. +[inline] +pub fn (mut rng MT19937RNG) u64n(max u64) u64 { + if max == 0 { + eprintln('max must be positive integer.') + exit(1) + } + bit_len := bits.len_64(max) + if bit_len == 64 { + for { + value := rng.u64() + if value < max { + return value + } + } + } else { + mask := (u64(1) << (bit_len + 1)) - 1 + for { + value := rng.u64() & mask + if value < max { + return value + } + } + } + return u64(0) +} + +// u32n returns a pseudorandom `u32` value that is guaranteed to be in range `[min, max)`. +[inline] +pub fn (mut rng MT19937RNG) u32_in_range(min u32, max u32) u32 { + if max <= min { + eprintln('max must be greater than min.') + exit(1) + } + return min + rng.u32n(max - min) +} + +// u64n returns a pseudorandom `u64` value that is guaranteed to be in range `[min, max)`. +[inline] +pub fn (mut rng MT19937RNG) u64_in_range(min u64, max u64) u64 { + if max <= min { + eprintln('max must be greater than min.') + exit(1) + } + return min + rng.u64n(max - min) +} + +// intn returns a 32bit positive `int` in range `[0, max)`. +[inline] +pub fn (mut rng MT19937RNG) intn(max int) int { + if max <= 0 { + eprintln('max has to be positive.') + exit(1) + } + return int(rng.u32n(u32(max))) +} + +// i64n returns a 64bit positive `i64` in range `[0, max)`. +[inline] +pub fn (mut rng MT19937RNG) i64n(max i64) i64 { + if max <= 0 { + eprintln('max has to be positive.') + exit(1) + } + return i64(rng.u64n(u64(max))) +} + +// int_in_range returns a 32bit positive `int` in range `[min, max)`. +[inline] +pub fn (mut rng MT19937RNG) int_in_range(min int, max int) int { + if max <= min { + eprintln('max must be greater than min.') + exit(1) + } + return min + rng.intn(max - min) +} + +// i64_in_range returns a 64bit positive `i64` in range `[min, max)`. +[inline] +pub fn (mut rng MT19937RNG) i64_in_range(min i64, max i64) i64 { + if max <= min { + eprintln('max must be greater than min.') + exit(1) + } + return min + rng.i64n(max - min) +} + +// f32 returns a 32bit real (`f32`) in range `[0, 1)`. +[inline] +pub fn (mut rng MT19937RNG) f32() f32 { + return f32(rng.f64()) +} + +// f64 returns 64bit real (`f64`) in range `[0, 1)`. +[inline] +pub fn (mut rng MT19937RNG) f64() f64 { + return f64(rng.u64() >> 11) * mt19937.inv_f64_limit +} + +// f32n returns a 32bit real (`f32`) in range [0, max)`. +[inline] +pub fn (mut rng MT19937RNG) f32n(max f32) f32 { + if max <= 0 { + eprintln('max has to be positive.') + exit(1) + } + return rng.f32() * max +} + +// f64n returns a 64bit real (`f64`) in range `[0, max)`. +[inline] +pub fn (mut rng MT19937RNG) f64n(max f64) f64 { + if max <= 0 { + eprintln('max has to be positive.') + exit(1) + } + return rng.f64() * max +} + +// f32_in_range returns a pseudorandom `f32` that lies in range `[min, max)`. +[inline] +pub fn (mut rng MT19937RNG) f32_in_range(min f32, max f32) f32 { + if max <= min { + eprintln('max must be greater than min.') + exit(1) + } + return min + rng.f32n(max - min) +} + +// i64_in_range returns a pseudorandom `i64` that lies in range `[min, max)`. +[inline] +pub fn (mut rng MT19937RNG) f64_in_range(min f64, max f64) f64 { + if max <= min { + eprintln('max must be greater than min.') + exit(1) + } + return min + rng.f64n(max - min) +} |