2020-06-01 21:13:56 +02:00
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// Copyright (c) 2019-2020 Alexander Medvednikov. All rights reserved.
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// Use of this source code is governed by an MIT license
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// that can be found in the LICENSE file.
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2020-06-09 15:06:07 +02:00
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module sys
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2020-06-01 21:13:56 +02:00
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import math.bits
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2020-06-09 15:06:07 +02:00
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import rand.util
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2020-06-01 21:13:56 +02:00
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// Implementation note:
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// ====================
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// C.rand() is okay to use within its defined range of C.RAND_MAX.
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// (See: https://web.archive.org/web/20180801210127/http://eternallyconfuzzled.com/arts/jsw_art_rand.aspx)
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// The problem is, this value varies with the libc implementation. On windows,
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// for example, RAND_MAX is usually a measly 32767, whereas on (newer) linux it's generaly
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// 2147483647. The repetition period also varies wildly. In order to provide more entropy
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// without altering the underlying algorithm too much, this implementation simply
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// requests for more random bits until the necessary width for the integers is achieved.
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const (
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rand_limit = u64(C.RAND_MAX)
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rand_bitsize = bits.len_64(rand_limit)
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u32_iter_count = calculate_iterations_for(32)
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u64_iter_count = calculate_iterations_for(64)
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)
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fn calculate_iterations_for(bits int) int {
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base := bits / rand_bitsize
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extra := if bits % rand_bitsize == 0 { 0 } else { 1 }
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return base + extra
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}
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// C.rand returns a pseudorandom integer from 0 (inclusive) to C.RAND_MAX (exclusive)
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fn C.rand() int
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// C.srand seeds the internal PRNG with the given int seed.
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// fn C.srand(seed int)
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// SysRNG is the PRNG provided by default in the libc implementiation that V uses.
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pub struct SysRNG {
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mut:
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2020-06-09 15:06:07 +02:00
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seed u32 = util.time_seed_32()
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2020-06-01 21:13:56 +02:00
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}
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// r.seed() sets the seed of the accepting SysRNG to the given data.
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pub fn (mut r SysRNG) seed(seed_data []u32) {
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if seed_data.len != 1 {
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eprintln('SysRNG needs one 32-bit unsigned integer as the seed.')
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exit(1)
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}
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r.seed = seed_data[0]
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2020-10-21 11:23:03 +02:00
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unsafe {C.srand(int(r.seed))}
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2020-06-01 21:13:56 +02:00
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}
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// r.default_rand() exposes the default behavior of the system's RNG
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// (equivalent to calling C.rand()). Recommended for testing/comparison
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// b/w V and other languages using libc and not for regular use.
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// This is also a one-off feature of SysRNG, similar to the global seed
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// situation. Other generators will not have this.
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[inline]
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pub fn (r SysRNG) default_rand() int {
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return C.rand()
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}
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// r.u32() returns a pseudorandom u32 value less than 2^32
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[inline]
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pub fn (r SysRNG) u32() u32 {
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mut result := u32(C.rand())
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for i in 1 .. u32_iter_count {
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result = result ^ (u32(C.rand()) << (rand_bitsize * i))
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}
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return result
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}
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// r.u64() returns a pseudorandom u64 value less than 2^64
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[inline]
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pub fn (r SysRNG) u64() u64 {
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mut result := u64(C.rand())
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for i in 1 .. u64_iter_count {
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result = result ^ (u64(C.rand()) << (rand_bitsize * i))
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}
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return result
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}
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// r.u32n(max) returns a pseudorandom u32 value that is guaranteed to be less than max
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[inline]
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pub fn (r SysRNG) u32n(max u32) u32 {
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if max == 0 {
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eprintln('max must be positive integer')
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exit(1)
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}
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// Owing to the pigeon-hole principle, we can't simply do
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// val := rng.u32() % max.
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// It'll wreck the properties of the distribution unless
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// max evenly divides 2^32. So we divide evenly to
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// the closest power of two. Then we loop until we find
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// an int in the required range
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bit_len := bits.len_32(max)
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if bit_len == 32 {
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for {
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value := r.u32()
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if value < max {
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return value
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}
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}
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} else {
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mask := (u32(1) << (bit_len + 1)) - 1
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for {
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value := r.u32() & mask
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if value < max {
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return value
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}
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}
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}
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return u32(0)
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}
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// r.u64n(max) returns a pseudorandom u64 value that is guaranteed to be less than max
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[inline]
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pub fn (r SysRNG) u64n(max u64) u64 {
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if max == 0 {
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eprintln('max must be positive integer')
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exit(1)
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}
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// Similar procedure for u64s
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bit_len := bits.len_64(max)
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if bit_len == 64 {
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for {
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value := r.u64()
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if value < max {
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return value
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}
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}
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} else {
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mask := (u64(1) << (bit_len + 1)) - 1
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for {
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value := r.u64() & mask
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if value < max {
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return value
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}
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}
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}
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return u64(0)
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}
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// r.u32n(min, max) returns a pseudorandom u32 value that is guaranteed to be in [min, max)
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[inline]
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2020-10-21 11:23:03 +02:00
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pub fn (r SysRNG) u32_in_range(min u32, max u32) u32 {
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2020-06-01 21:13:56 +02:00
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if max <= min {
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eprintln('max must be greater than min')
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exit(1)
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}
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return min + r.u32n(max - min)
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}
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// r.u64n(min, max) returns a pseudorandom u64 value that is guaranteed to be in [min, max)
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[inline]
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2020-10-21 11:23:03 +02:00
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pub fn (r SysRNG) u64_in_range(min u64, max u64) u64 {
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2020-06-01 21:13:56 +02:00
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if max <= min {
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eprintln('max must be greater than min')
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exit(1)
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}
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return min + r.u64n(max - min)
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}
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// r.int() returns a pseudorandom 32-bit int (which may be negative)
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[inline]
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pub fn (r SysRNG) int() int {
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return int(r.u32())
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}
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// r.i64() returns a pseudorandom 64-bit i64 (which may be negative)
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[inline]
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pub fn (r SysRNG) i64() i64 {
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return i64(r.u64())
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}
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// r.int31() returns a pseudorandom 31-bit int which is non-negative
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[inline]
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pub fn (r SysRNG) int31() int {
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2020-06-09 15:06:07 +02:00
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return int(r.u32() & util.u31_mask) // Set the 32nd bit to 0.
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}
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// r.int63() returns a pseudorandom 63-bit int which is non-negative
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[inline]
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pub fn (r SysRNG) int63() i64 {
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2020-06-09 15:06:07 +02:00
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return i64(r.u64() & util.u63_mask) // Set the 64th bit to 0.
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2020-06-01 21:13:56 +02:00
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}
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// r.intn(max) returns a pseudorandom int that lies in [0, max)
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[inline]
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pub fn (r SysRNG) intn(max int) int {
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if max <= 0 {
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eprintln('max has to be positive.')
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exit(1)
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}
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2020-06-02 06:39:38 +02:00
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return int(r.u32n(u32(max)))
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2020-06-01 21:13:56 +02:00
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}
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// r.i64n(max) returns a pseudorandom i64 that lies in [0, max)
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[inline]
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pub fn (r SysRNG) i64n(max i64) i64 {
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if max <= 0 {
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eprintln('max has to be positive.')
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exit(1)
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}
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2020-06-02 06:39:38 +02:00
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return i64(r.u64n(u64(max)))
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2020-06-01 21:13:56 +02:00
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}
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// r.int_in_range(min, max) returns a pseudorandom int that lies in [min, max)
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[inline]
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2020-10-21 11:23:03 +02:00
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pub fn (r SysRNG) int_in_range(min int, max int) int {
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2020-06-01 21:13:56 +02:00
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if max <= min {
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eprintln('max must be greater than min')
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exit(1)
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}
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// This supports negative ranges like [-10, -5) because the difference is positive
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return min + r.intn(max - min)
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}
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// r.i64_in_range(min, max) returns a pseudorandom i64 that lies in [min, max)
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[inline]
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2020-10-21 11:23:03 +02:00
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pub fn (r SysRNG) i64_in_range(min i64, max i64) i64 {
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2020-06-01 21:13:56 +02:00
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if max <= min {
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eprintln('max must be greater than min')
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exit(1)
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}
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return min + r.i64n(max - min)
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}
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// r.f32() returns a pseudorandom f32 value between 0.0 (inclusive) and 1.0 (exclusive) i.e [0, 1)
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[inline]
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pub fn (r SysRNG) f32() f32 {
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2020-06-09 15:06:07 +02:00
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return f32(r.u32()) / util.max_u32_as_f32
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2020-06-01 21:13:56 +02:00
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}
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// r.f64() returns a pseudorandom f64 value between 0.0 (inclusive) and 1.0 (exclusive) i.e [0, 1)
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[inline]
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pub fn (r SysRNG) f64() f64 {
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2020-06-09 15:06:07 +02:00
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return f64(r.u64()) / util.max_u64_as_f64
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2020-06-01 21:13:56 +02:00
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}
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// r.f32n() returns a pseudorandom f32 value in [0, max)
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[inline]
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pub fn (r SysRNG) f32n(max f32) f32 {
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if max <= 0 {
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eprintln('max has to be positive.')
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exit(1)
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}
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return r.f32() * max
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}
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// r.f64n() returns a pseudorandom f64 value in [0, max)
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[inline]
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pub fn (r SysRNG) f64n(max f64) f64 {
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if max <= 0 {
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eprintln('max has to be positive.')
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exit(1)
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}
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return r.f64() * max
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}
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// r.f32_in_range(min, max) returns a pseudorandom f32 that lies in [min, max)
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[inline]
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2020-10-21 11:23:03 +02:00
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pub fn (r SysRNG) f32_in_range(min f32, max f32) f32 {
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2020-06-01 21:13:56 +02:00
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if max <= min {
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eprintln('max must be greater than min')
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exit(1)
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}
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return min + r.f32n(max - min)
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}
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// r.i64_in_range(min, max) returns a pseudorandom i64 that lies in [min, max)
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[inline]
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2020-10-21 11:23:03 +02:00
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pub fn (r SysRNG) f64_in_range(min f64, max f64) f64 {
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2020-06-01 21:13:56 +02:00
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if max <= min {
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eprintln('max must be greater than min')
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exit(1)
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}
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return min + r.f64n(max - min)
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}
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