566 lines
17 KiB
V
566 lines
17 KiB
V
// Copyright (c) 2019-2022 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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[has_globals]
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module rand
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import math.bits
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import rand.config
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import rand.constants
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import rand.wyrand
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import time
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// PRNG is a common interface for all PRNGs that can be used seamlessly with the rand
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// modules's API. It defines all the methods that a PRNG (in the vlib or custom made) must
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// implement in order to ensure that _all_ functions can be used with the generator.
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pub interface PRNG {
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mut:
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seed(seed_data []u32)
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byte() byte
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u16() u16
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u32() u32
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u64() u64
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block_size() int
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free()
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}
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// bytes returns a buffer of `bytes_needed` random bytes
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[inline]
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pub fn (mut rng PRNG) bytes(bytes_needed int) ?[]byte {
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if bytes_needed < 0 {
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return error('can not read < 0 random bytes')
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}
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mut buffer := []byte{len: bytes_needed}
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read_internal(mut rng, mut buffer)
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return buffer
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}
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// read fills in `buf` with a maximum of `buf.len` random bytes
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pub fn (mut rng PRNG) read(mut buf []byte) {
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read_internal(mut rng, mut buf)
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}
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// u32n returns a uniformly distributed pseudorandom 32-bit signed positive `u32` in range `[0, max)`.
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[inline]
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pub fn (mut rng PRNG) u32n(max u32) ?u32 {
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if max == 0 {
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return error('max must be positive integer')
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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 := rng.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 := rng.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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// u64n returns a uniformly distributed pseudorandom 64-bit signed positive `u64` in range `[0, max)`.
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[inline]
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pub fn (mut rng PRNG) u64n(max u64) ?u64 {
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if max == 0 {
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return error('max must be positive integer')
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}
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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 := rng.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 := rng.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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// u32_in_range returns a uniformly distributed pseudorandom 32-bit unsigned `u32` in range `[min, max)`.
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[inline]
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pub fn (mut rng PRNG) u32_in_range(min u32, max u32) ?u32 {
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if max <= min {
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return error('max must be greater than min')
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}
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return min + rng.u32n(max - min) ?
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}
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// u64_in_range returns a uniformly distributed pseudorandom 64-bit unsigned `u64` in range `[min, max)`.
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[inline]
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pub fn (mut rng PRNG) u64_in_range(min u64, max u64) ?u64 {
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if max <= min {
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return error('max must be greater than min')
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}
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return min + rng.u64n(max - min) ?
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}
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// i8 returns a (possibly negative) pseudorandom 8-bit `i8`.
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[inline]
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pub fn (mut rng PRNG) i8() i8 {
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return i8(rng.byte())
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}
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// i16 returns a (possibly negative) pseudorandom 16-bit `i16`.
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[inline]
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pub fn (mut rng PRNG) i16() i16 {
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return i16(rng.u16())
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}
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// int returns a (possibly negative) pseudorandom 32-bit `int`.
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[inline]
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pub fn (mut rng PRNG) int() int {
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return int(rng.u32())
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}
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// i64 returns a (possibly negative) pseudorandom 64-bit `i64`.
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[inline]
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pub fn (mut rng PRNG) i64() i64 {
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return i64(rng.u64())
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}
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// int31 returns a positive pseudorandom 31-bit `int`.
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[inline]
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pub fn (mut rng PRNG) int31() int {
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return int(rng.u32() & constants.u31_mask) // Set the 32nd bit to 0.
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}
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// int63 returns a positive pseudorandom 63-bit `i64`.
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[inline]
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pub fn (mut rng PRNG) int63() i64 {
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return i64(rng.u64() & constants.u63_mask) // Set the 64th bit to 0.
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}
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// intn returns a pseudorandom `int` in range `[0, max)`.
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[inline]
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pub fn (mut rng PRNG) intn(max int) ?int {
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if max <= 0 {
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return error('max has to be positive.')
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}
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return int(rng.u32n(u32(max)) ?)
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}
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// i64n returns a pseudorandom int that lies in `[0, max)`.
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[inline]
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pub fn (mut rng PRNG) i64n(max i64) ?i64 {
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if max <= 0 {
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return error('max has to be positive.')
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}
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return i64(rng.u64n(u64(max)) ?)
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}
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// int_in_range returns a pseudorandom `int` in range `[min, max)`.
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[inline]
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pub fn (mut rng PRNG) int_in_range(min int, max int) ?int {
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if max <= min {
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return error('max must be greater than min')
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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 + rng.intn(max - min) ?
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}
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// i64_in_range returns a pseudorandom `i64` in range `[min, max)`.
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[inline]
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pub fn (mut rng PRNG) i64_in_range(min i64, max i64) ?i64 {
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if max <= min {
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return error('max must be greater than min')
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}
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return min + rng.i64n(max - min) ?
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}
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// f32 returns a pseudorandom `f32` value in range `[0, 1)`.
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[inline]
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pub fn (mut rng PRNG) f32() f32 {
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return f32(rng.u32()) / constants.max_u32_as_f32
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}
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// f64 returns a pseudorandom `f64` value in range `[0, 1)`.
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[inline]
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pub fn (mut rng PRNG) f64() f64 {
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return f64(rng.u64()) / constants.max_u64_as_f64
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}
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// f32n returns a pseudorandom `f32` value in range `[0, max]`.
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[inline]
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pub fn (mut rng PRNG) f32n(max f32) ?f32 {
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if max < 0 {
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return error('max has to be non-negative.')
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}
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return rng.f32() * max
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}
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// f64n returns a pseudorandom `f64` value in range `[0, max]`.
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[inline]
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pub fn (mut rng PRNG) f64n(max f64) ?f64 {
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if max < 0 {
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return error('max has to be non-negative.')
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}
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return rng.f64() * max
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}
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// f32_in_range returns a pseudorandom `f32` in range `[min, max]`.
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[inline]
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pub fn (mut rng PRNG) f32_in_range(min f32, max f32) ?f32 {
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if max < min {
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return error('max must be greater than or equal to min')
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}
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return min + rng.f32n(max - min) ?
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}
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// i64_in_range returns a pseudorandom `i64` in range `[min, max]`.
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[inline]
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pub fn (mut rng PRNG) f64_in_range(min f64, max f64) ?f64 {
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if max < min {
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return error('max must be greater than or equal to min')
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}
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return min + rng.f64n(max - min) ?
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}
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// ulid generates an Unique Lexicographically sortable IDentifier.
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// See https://github.com/ulid/spec .
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// Note: ULIDs can leak timing information, if you make them public, because
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// you can infer the rate at which some resource is being created, like
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// users or business transactions.
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// (https://news.ycombinator.com/item?id=14526173)
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pub fn (mut rng PRNG) ulid() string {
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return internal_ulid_at_millisecond(mut rng, u64(time.utc().unix_time_milli()))
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}
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// ulid_at_millisecond does the same as `ulid` but takes a custom Unix millisecond timestamp via `unix_time_milli`.
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pub fn (mut rng PRNG) ulid_at_millisecond(unix_time_milli u64) string {
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return internal_ulid_at_millisecond(mut rng, unix_time_milli)
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}
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// string_from_set returns a string of length `len` containing random characters sampled from the given `charset`
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pub fn (mut rng PRNG) string_from_set(charset string, len int) string {
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return internal_string_from_set(mut rng, charset, len)
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}
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// string returns a string of length `len` containing random characters in range `[a-zA-Z]`.
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pub fn (mut rng PRNG) string(len int) string {
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return internal_string_from_set(mut rng, rand.english_letters, len)
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}
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// hex returns a hexadecimal number of length `len` containing random characters in range `[a-f0-9]`.
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pub fn (mut rng PRNG) hex(len int) string {
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return internal_string_from_set(mut rng, rand.hex_chars, len)
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}
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// ascii returns a random string of the printable ASCII characters with length `len`.
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pub fn (mut rng PRNG) ascii(len int) string {
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return internal_string_from_set(mut rng, rand.ascii_chars, len)
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}
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// Configuration struct for the shuffle functions.
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// The start index is inclusive and the end index is exclusive.
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// Set the end to 0 to shuffle until the end of the array.
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[params]
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pub struct ShuffleConfigStruct {
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pub:
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start int
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end int
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}
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fn (config ShuffleConfigStruct) validate_for<T>(a []T) ? {
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if config.start < 0 || config.start >= a.len {
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return error("argument 'config.start' must be in range [0, a.len)")
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}
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if config.end < 0 || config.end > a.len {
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return error("argument 'config.end' must be in range [0, a.len]")
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}
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}
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// shuffle randomly permutates the elements in `a`. The range for shuffling is
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// optional and the entire array is shuffled by default. Leave the end as 0 to
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// shuffle all elements until the end.
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[direct_array_access]
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pub fn (mut rng PRNG) shuffle<T>(mut a []T, config ShuffleConfigStruct) ? {
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config.validate_for(a) ?
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new_end := if config.end == 0 { a.len } else { config.end }
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for i in config.start .. new_end {
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x := rng.int_in_range(i, new_end) or { config.start }
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// swap
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a_i := a[i]
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a[i] = a[x]
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a[x] = a_i
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}
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}
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// shuffle_clone returns a random permutation of the elements in `a`.
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// The permutation is done on a fresh clone of `a`, so `a` remains unchanged.
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pub fn (mut rng PRNG) shuffle_clone<T>(a []T, config ShuffleConfigStruct) ?[]T {
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mut res := a.clone()
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rng.shuffle(mut res, config) ?
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return res
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}
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// choose samples k elements from the array without replacement.
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// This means the indices cannot repeat and it restricts the sample size to be less than or equal to the size of the given array.
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// Note that if the array has repeating elements, then the sample may have repeats as well.
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pub fn (mut rng PRNG) choose<T>(array []T, k int) ?[]T {
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n := array.len
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if k > n {
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return error('Cannot choose $k elements without replacement from a $n-element array.')
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}
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mut results := []T{len: k}
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mut indices := []int{len: n, init: it}
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rng.shuffle(mut indices) ?
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for i in 0 .. k {
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results[i] = array[indices[i]]
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}
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return results
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}
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// sample samples k elements from the array with replacement.
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// This means the elements can repeat and the size of the sample may exceed the size of the array.
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pub fn (mut rng PRNG) sample<T>(array []T, k int) []T {
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mut results := []T{len: k}
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for i in 0 .. k {
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results[i] = array[rng.intn(array.len) or { 0 }]
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}
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return results
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}
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__global default_rng &PRNG
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// new_default returns a new instance of the default RNG. If the seed is not provided, the current time will be used to seed the instance.
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[manualfree]
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pub fn new_default(config config.PRNGConfigStruct) &PRNG {
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mut rng := &wyrand.WyRandRNG{}
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rng.seed(config.seed_)
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unsafe { config.seed_.free() }
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return &PRNG(rng)
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}
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// get_current_rng returns the PRNG instance currently in use. If it is not changed, it will be an instance of wyrand.WyRandRNG.
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pub fn get_current_rng() &PRNG {
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return default_rng
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}
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// set_rng changes the default RNG from wyrand.WyRandRNG (or whatever the last RNG was) to the one
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// provided by the user. Note that this new RNG must be seeded manually with a constant seed or the
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// `seed.time_seed_array()` method. Also, it is recommended to store the old RNG in a variable and
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// should be restored if work with the custom RNG is complete. It is not necessary to restore if the
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// program terminates soon afterwards.
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pub fn set_rng(rng &PRNG) {
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default_rng = unsafe { rng }
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}
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// seed sets the given array of `u32` values as the seed for the `default_rng`. The default_rng is
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// an instance of WyRandRNG which takes 2 u32 values. When using a custom RNG, make sure to use
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// the correct number of u32s.
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pub fn seed(seed []u32) {
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default_rng.seed(seed)
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}
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// u32 returns a uniformly distributed `u32` in range `[0, 2³²)`.
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pub fn u32() u32 {
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return default_rng.u32()
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}
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// u64 returns a uniformly distributed `u64` in range `[0, 2⁶⁴)`.
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pub fn u64() u64 {
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return default_rng.u64()
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}
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// u32n returns a uniformly distributed pseudorandom 32-bit signed positive `u32` in range `[0, max)`.
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pub fn u32n(max u32) ?u32 {
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return default_rng.u32n(max)
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}
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// u64n returns a uniformly distributed pseudorandom 64-bit signed positive `u64` in range `[0, max)`.
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pub fn u64n(max u64) ?u64 {
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return default_rng.u64n(max)
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}
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// u32_in_range returns a uniformly distributed pseudorandom 32-bit unsigned `u32` in range `[min, max)`.
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pub fn u32_in_range(min u32, max u32) ?u32 {
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return default_rng.u32_in_range(min, max)
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}
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// u64_in_range returns a uniformly distributed pseudorandom 64-bit unsigned `u64` in range `[min, max)`.
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pub fn u64_in_range(min u64, max u64) ?u64 {
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return default_rng.u64_in_range(min, max)
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}
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// i16 returns a uniformly distributed pseudorandom 16-bit signed (possibly negative) `i16`.
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pub fn i16() i16 {
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return default_rng.i16()
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}
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// int returns a uniformly distributed pseudorandom 32-bit signed (possibly negative) `int`.
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pub fn int() int {
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return default_rng.int()
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}
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// intn returns a uniformly distributed pseudorandom 32-bit signed positive `int` in range `[0, max)`.
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pub fn intn(max int) ?int {
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return default_rng.intn(max)
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}
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// byte returns a uniformly distributed pseudorandom 8-bit unsigned positive `byte`.
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pub fn byte() byte {
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return default_rng.byte()
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}
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// int_in_range returns a uniformly distributed pseudorandom 32-bit signed int in range `[min, max)`.
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// Both `min` and `max` can be negative, but we must have `min < max`.
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pub fn int_in_range(min int, max int) ?int {
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return default_rng.int_in_range(min, max)
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}
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// int31 returns a uniformly distributed pseudorandom 31-bit signed positive `int`.
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pub fn int31() int {
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return default_rng.int31()
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}
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// i64 returns a uniformly distributed pseudorandom 64-bit signed (possibly negative) `i64`.
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pub fn i64() i64 {
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return default_rng.i64()
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}
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// i64n returns a uniformly distributed pseudorandom 64-bit signed positive `i64` in range `[0, max)`.
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pub fn i64n(max i64) ?i64 {
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return default_rng.i64n(max)
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}
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// i64_in_range returns a uniformly distributed pseudorandom 64-bit signed `i64` in range `[min, max)`.
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pub fn i64_in_range(min i64, max i64) ?i64 {
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return default_rng.i64_in_range(min, max)
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}
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// int63 returns a uniformly distributed pseudorandom 63-bit signed positive `i64`.
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pub fn int63() i64 {
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return default_rng.int63()
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}
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// f32 returns a uniformly distributed 32-bit floating point in range `[0, 1)`.
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pub fn f32() f32 {
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return default_rng.f32()
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}
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// f64 returns a uniformly distributed 64-bit floating point in range `[0, 1)`.
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pub fn f64() f64 {
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return default_rng.f64()
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}
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// f32n returns a uniformly distributed 32-bit floating point in range `[0, max)`.
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pub fn f32n(max f32) ?f32 {
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return default_rng.f32n(max)
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}
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// f64n returns a uniformly distributed 64-bit floating point in range `[0, max)`.
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pub fn f64n(max f64) ?f64 {
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return default_rng.f64n(max)
|
|
}
|
|
|
|
// f32_in_range returns a uniformly distributed 32-bit floating point in range `[min, max)`.
|
|
pub fn f32_in_range(min f32, max f32) ?f32 {
|
|
return default_rng.f32_in_range(min, max)
|
|
}
|
|
|
|
// f64_in_range returns a uniformly distributed 64-bit floating point in range `[min, max)`.
|
|
pub fn f64_in_range(min f64, max f64) ?f64 {
|
|
return default_rng.f64_in_range(min, max)
|
|
}
|
|
|
|
// bytes returns a buffer of `bytes_needed` random bytes
|
|
pub fn bytes(bytes_needed int) ?[]byte {
|
|
return default_rng.bytes(bytes_needed)
|
|
}
|
|
|
|
// read fills in `buf` a maximum of `buf.len` random bytes
|
|
pub fn read(mut buf []byte) {
|
|
read_internal(mut default_rng, mut buf)
|
|
}
|
|
|
|
const (
|
|
english_letters = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ'
|
|
hex_chars = 'abcdef0123456789'
|
|
ascii_chars = '!"#$%&\'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ\\^_`abcdefghijklmnopqrstuvwxyz{|}~'
|
|
)
|
|
|
|
// ulid generates an Unique Lexicographically sortable IDentifier.
|
|
// See https://github.com/ulid/spec .
|
|
// Note: ULIDs can leak timing information, if you make them public, because
|
|
// you can infer the rate at which some resource is being created, like
|
|
// users or business transactions.
|
|
// (https://news.ycombinator.com/item?id=14526173)
|
|
pub fn ulid() string {
|
|
return default_rng.ulid()
|
|
}
|
|
|
|
// ulid_at_millisecond does the same as `ulid` but takes a custom Unix millisecond timestamp via `unix_time_milli`.
|
|
pub fn ulid_at_millisecond(unix_time_milli u64) string {
|
|
return default_rng.ulid_at_millisecond(unix_time_milli)
|
|
}
|
|
|
|
// string_from_set returns a string of length `len` containing random characters sampled from the given `charset`
|
|
pub fn string_from_set(charset string, len int) string {
|
|
return default_rng.string_from_set(charset, len)
|
|
}
|
|
|
|
// string returns a string of length `len` containing random characters in range `[a-zA-Z]`.
|
|
pub fn string(len int) string {
|
|
return string_from_set(rand.english_letters, len)
|
|
}
|
|
|
|
// hex returns a hexadecimal number of length `len` containing random characters in range `[a-f0-9]`.
|
|
pub fn hex(len int) string {
|
|
return string_from_set(rand.hex_chars, len)
|
|
}
|
|
|
|
// ascii returns a random string of the printable ASCII characters with length `len`.
|
|
pub fn ascii(len int) string {
|
|
return string_from_set(rand.ascii_chars, len)
|
|
}
|
|
|
|
// shuffle randomly permutates the elements in `a`. The range for shuffling is
|
|
// optional and the entire array is shuffled by default. Leave the end as 0 to
|
|
// shuffle all elements until the end.
|
|
pub fn shuffle<T>(mut a []T, config ShuffleConfigStruct) ? {
|
|
default_rng.shuffle(mut a, config) ?
|
|
}
|
|
|
|
// shuffle_clone returns a random permutation of the elements in `a`.
|
|
// The permutation is done on a fresh clone of `a`, so `a` remains unchanged.
|
|
pub fn shuffle_clone<T>(a []T, config ShuffleConfigStruct) ?[]T {
|
|
return default_rng.shuffle_clone(a, config)
|
|
}
|
|
|
|
// choose samples k elements from the array without replacement.
|
|
// This means the indices cannot repeat and it restricts the sample size to be less than or equal to the size of the given array.
|
|
// Note that if the array has repeating elements, then the sample may have repeats as well.
|
|
pub fn choose<T>(array []T, k int) ?[]T {
|
|
return default_rng.choose(array, k)
|
|
}
|
|
|
|
// sample samples k elements from the array with replacement.
|
|
// This means the elements can repeat and the size of the sample may exceed the size of the array.
|
|
pub fn sample<T>(array []T, k int) []T {
|
|
return default_rng.sample(array, k)
|
|
}
|