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| author | Indrajith K L | 2022-12-03 17:00:20 +0530 | 
|---|---|---|
| committer | Indrajith K L | 2022-12-03 17:00:20 +0530 | 
| commit | f5c4671bfbad96bf346bd7e9a21fc4317b4959df (patch) | |
| tree | 2764fc62da58f2ba8da7ed341643fc359873142f /v_windows/v/vlib/rand/mt19937 | |
| download | cli-tools-windows-master.tar.gz cli-tools-windows-master.tar.bz2 cli-tools-windows-master.zip  | |
Diffstat (limited to 'v_windows/v/vlib/rand/mt19937')
| -rw-r--r-- | v_windows/v/vlib/rand/mt19937/mt19937.v | 325 | ||||
| -rw-r--r-- | v_windows/v/vlib/rand/mt19937/mt19937_test.v | 341 | 
2 files changed, 666 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) +} diff --git a/v_windows/v/vlib/rand/mt19937/mt19937_test.v b/v_windows/v/vlib/rand/mt19937/mt19937_test.v new file mode 100644 index 0000000..f2a41de --- /dev/null +++ b/v_windows/v/vlib/rand/mt19937/mt19937_test.v @@ -0,0 +1,341 @@ +import math +import rand.mt19937 +import rand.seed + +const ( +	range_limit = 40 +	value_count = 1000 +	seeds       = [[u32(0xcafebabe), u32(0xdeadbeef)], [u32(0xc0de), u32(0xfeed)]] +) + +const ( +	sample_size   = 1000 +	stats_epsilon = 0.05 +	inv_sqrt_12   = 1.0 / math.sqrt(12) +) + +fn mt19937_basic_test() { +	mut rng := mt19937.MT19937RNG{} +	rng.seed([u32(0xdeadbeef)]) +	target := [u32(956529277), 3842322136, 3319553134, 1843186657, 2704993644, 595827513, 938518626, +		1676224337, 3221315650, 1819026461] +	for i := 0; i < 10; i++ { +		assert target[i] == rng.u32() +	} +} + +fn gen_randoms(seed_data []u32, bound int) []u64 { +	bound_u64 := u64(bound) +	mut randoms := []u64{len: (20)} +	mut rnd := mt19937.MT19937RNG{} +	rnd.seed(seed_data) +	for i in 0 .. 20 { +		randoms[i] = rnd.u64n(bound_u64) +	} +	return randoms +} + +fn test_mt19937_reproducibility() { +	seed_data := seed.time_seed_array(2) +	randoms1 := gen_randoms(seed_data, 1000) +	randoms2 := gen_randoms(seed_data, 1000) +	assert randoms1.len == randoms2.len +	len := randoms1.len +	for i in 0 .. len { +		assert randoms1[i] == randoms2[i] +	} +} + +// TODO: use the `in` syntax and remove this function +// after generics has been completely implemented +fn found(value u64, arr []u64) bool { +	for item in arr { +		if value == item { +			return true +		} +	} +	return false +} + +fn test_mt19937_variability() { +	// If this test fails and if it is certainly not the implementation +	// at fault, try changing the seed values. Repeated values are +	// improbable but not impossible. +	for seed in seeds { +		mut rng := mt19937.MT19937RNG{} +		rng.seed(seed) +		mut values := []u64{cap: value_count} +		for i in 0 .. value_count { +			value := rng.u64() +			assert !found(value, values) +			assert values.len == i +			values << value +		} +	} +} + +fn check_uniformity_u64(mut rng mt19937.MT19937RNG, range u64) { +	range_f64 := f64(range) +	expected_mean := range_f64 / 2.0 +	mut variance := 0.0 +	for _ in 0 .. sample_size { +		diff := f64(rng.u64n(range)) - expected_mean +		variance += diff * diff +	} +	variance /= sample_size - 1 +	sigma := math.sqrt(variance) +	expected_sigma := range_f64 * inv_sqrt_12 +	error := (sigma - expected_sigma) / expected_sigma +	assert math.abs(error) < stats_epsilon +} + +fn test_mt19937_uniformity_u64() { +	ranges := [14019545, 80240, 130] +	for seed in seeds { +		mut rng := mt19937.MT19937RNG{} +		rng.seed(seed) +		for range in ranges { +			check_uniformity_u64(mut rng, u64(range)) +		} +	} +} + +fn check_uniformity_f64(mut rng mt19937.MT19937RNG) { +	expected_mean := 0.5 +	mut variance := 0.0 +	for _ in 0 .. sample_size { +		diff := rng.f64() - expected_mean +		variance += diff * diff +	} +	variance /= sample_size - 1 +	sigma := math.sqrt(variance) +	expected_sigma := inv_sqrt_12 +	error := (sigma - expected_sigma) / expected_sigma +	assert math.abs(error) < stats_epsilon +} + +fn test_mt19937_uniformity_f64() { +	// The f64 version +	for seed in seeds { +		mut rng := mt19937.MT19937RNG{} +		rng.seed(seed) +		check_uniformity_f64(mut rng) +	} +} + +fn test_mt19937_u32n() { +	max := u32(16384) +	for seed in seeds { +		mut rng := mt19937.MT19937RNG{} +		rng.seed(seed) +		for _ in 0 .. range_limit { +			value := rng.u32n(max) +			assert value >= 0 +			assert value < max +		} +	} +} + +fn test_mt19937_u64n() { +	max := u64(379091181005) +	for seed in seeds { +		mut rng := mt19937.MT19937RNG{} +		rng.seed(seed) +		for _ in 0 .. range_limit { +			value := rng.u64n(max) +			assert value >= 0 +			assert value < max +		} +	} +} + +fn test_mt19937_u32_in_range() { +	max := u32(484468466) +	min := u32(316846) +	for seed in seeds { +		mut rng := mt19937.MT19937RNG{} +		rng.seed(seed) +		for _ in 0 .. range_limit { +			value := rng.u32_in_range(min, max) +			assert value >= min +			assert value < max +		} +	} +} + +fn test_mt19937_u64_in_range() { +	max := u64(216468454685163) +	min := u64(6848646868) +	for seed in seeds { +		mut rng := mt19937.MT19937RNG{} +		rng.seed(seed) +		for _ in 0 .. range_limit { +			value := rng.u64_in_range(min, max) +			assert value >= min +			assert value < max +		} +	} +} + +fn test_mt19937_int31() { +	max_u31 := int(0x7FFFFFFF) +	sign_mask := int(0x80000000) +	for seed in seeds { +		mut rng := mt19937.MT19937RNG{} +		rng.seed(seed) +		for _ in 0 .. range_limit { +			value := rng.int31() +			assert value >= 0 +			assert value <= max_u31 +			// This statement ensures that the sign bit is zero +			assert (value & sign_mask) == 0 +		} +	} +} + +fn test_mt19937_int63() { +	max_u63 := i64(0x7FFFFFFFFFFFFFFF) +	sign_mask := i64(0x8000000000000000) +	for seed in seeds { +		mut rng := mt19937.MT19937RNG{} +		rng.seed(seed) +		for _ in 0 .. range_limit { +			value := rng.int63() +			assert value >= 0 +			assert value <= max_u63 +			assert (value & sign_mask) == 0 +		} +	} +} + +fn test_mt19937_intn() { +	max := 2525642 +	for seed in seeds { +		mut rng := mt19937.MT19937RNG{} +		rng.seed(seed) +		for _ in 0 .. range_limit { +			value := rng.intn(max) +			assert value >= 0 +			assert value < max +		} +	} +} + +fn test_mt19937_i64n() { +	max := i64(3246727724653636) +	for seed in seeds { +		mut rng := mt19937.MT19937RNG{} +		rng.seed(seed) +		for _ in 0 .. range_limit { +			value := rng.i64n(max) +			assert value >= 0 +			assert value < max +		} +	} +} + +fn test_mt19937_int_in_range() { +	min := -4252 +	max := 1034 +	for seed in seeds { +		mut rng := mt19937.MT19937RNG{} +		rng.seed(seed) +		for _ in 0 .. range_limit { +			value := rng.int_in_range(min, max) +			assert value >= min +			assert value < max +		} +	} +} + +fn test_mt19937_i64_in_range() { +	min := i64(-24095) +	max := i64(324058) +	for seed in seeds { +		mut rng := mt19937.MT19937RNG{} +		rng.seed(seed) +		for _ in 0 .. range_limit { +			value := rng.i64_in_range(min, max) +			assert value >= min +			assert value < max +		} +	} +} + +fn test_mt19937_f32() { +	for seed in seeds { +		mut rng := mt19937.MT19937RNG{} +		rng.seed(seed) +		for _ in 0 .. range_limit { +			value := rng.f32() +			assert value >= 0.0 +			assert value < 1.0 +		} +	} +} + +fn test_mt19937_f64() { +	for seed in seeds { +		mut rng := mt19937.MT19937RNG{} +		rng.seed(seed) +		for _ in 0 .. range_limit { +			value := rng.f64() +			assert value >= 0.0 +			assert value < 1.0 +		} +	} +} + +fn test_mt19937_f32n() { +	max := f32(357.0) +	for seed in seeds { +		mut rng := mt19937.MT19937RNG{} +		rng.seed(seed) +		for _ in 0 .. range_limit { +			value := rng.f32n(max) +			assert value >= 0.0 +			assert value < max +		} +	} +} + +fn test_mt19937_f64n() { +	max := 1.52e6 +	for seed in seeds { +		mut rng := mt19937.MT19937RNG{} +		rng.seed(seed) +		for _ in 0 .. range_limit { +			value := rng.f64n(max) +			assert value >= 0.0 +			assert value < max +		} +	} +} + +fn test_mt19937_f32_in_range() { +	min := f32(-24.0) +	max := f32(125.0) +	for seed in seeds { +		mut rng := mt19937.MT19937RNG{} +		rng.seed(seed) +		for _ in 0 .. range_limit { +			value := rng.f32_in_range(min, max) +			assert value >= min +			assert value < max +		} +	} +} + +fn test_mt19937_f64_in_range() { +	min := -548.7 +	max := 5015.2 +	for seed in seeds { +		mut rng := mt19937.MT19937RNG{} +		rng.seed(seed) +		for _ in 0 .. range_limit { +			value := rng.f64_in_range(min, max) +			assert value >= min +			assert value < max +		} +	} +}  | 
