zig/lib/std/rand/ziggurat.zig
Frank Denis 6c2e0c2046 Year++
2020-12-31 15:45:24 -08:00

172 lines
4.6 KiB
Zig

// SPDX-License-Identifier: MIT
// Copyright (c) 2015-2021 Zig Contributors
// This file is part of [zig](https://ziglang.org/), which is MIT licensed.
// The MIT license requires this copyright notice to be included in all copies
// and substantial portions of the software.
// Implements ZIGNOR [1].
//
// [1]: Jurgen A. Doornik (2005). [*An Improved Ziggurat Method to Generate Normal Random Samples*]
// (https://www.doornik.com/research/ziggurat.pdf). Nuffield College, Oxford.
//
// rust/rand used as a reference;
//
// NOTE: This seems interesting but reference code is a bit hard to grok:
// https://sbarral.github.io/etf.
const std = @import("../std.zig");
const math = std.math;
const Random = std.rand.Random;
pub fn next_f64(random: *Random, comptime tables: ZigTable) f64 {
while (true) {
// We manually construct a float from parts as we can avoid an extra random lookup here by
// using the unused exponent for the lookup table entry.
const bits = random.int(u64);
const i = @as(usize, @truncate(u8, bits));
const u = blk: {
if (tables.is_symmetric) {
// Generate a value in the range [2, 4) and scale into [-1, 1)
const repr = ((0x3ff + 1) << 52) | (bits >> 12);
break :blk @bitCast(f64, repr) - 3.0;
} else {
// Generate a value in the range [1, 2) and scale into (0, 1)
const repr = (0x3ff << 52) | (bits >> 12);
break :blk @bitCast(f64, repr) - (1.0 - math.f64_epsilon / 2.0);
}
};
const x = u * tables.x[i];
const test_x = if (tables.is_symmetric) math.fabs(x) else x;
// equivalent to |u| < tables.x[i+1] / tables.x[i] (or u < tables.x[i+1] / tables.x[i])
if (test_x < tables.x[i + 1]) {
return x;
}
if (i == 0) {
return tables.zero_case(random, u);
}
// equivalent to f1 + DRanU() * (f0 - f1) < 1
if (tables.f[i + 1] + (tables.f[i] - tables.f[i + 1]) * random.float(f64) < tables.pdf(x)) {
return x;
}
}
}
pub const ZigTable = struct {
r: f64,
x: [257]f64,
f: [257]f64,
// probability density function used as a fallback
pdf: fn (f64) f64,
// whether the distribution is symmetric
is_symmetric: bool,
// fallback calculation in the case we are in the 0 block
zero_case: fn (*Random, f64) f64,
};
// zigNorInit
fn ZigTableGen(
comptime is_symmetric: bool,
comptime r: f64,
comptime v: f64,
comptime f: fn (f64) f64,
comptime f_inv: fn (f64) f64,
comptime zero_case: fn (*Random, f64) f64,
) ZigTable {
var tables: ZigTable = undefined;
tables.is_symmetric = is_symmetric;
tables.r = r;
tables.pdf = f;
tables.zero_case = zero_case;
tables.x[0] = v / f(r);
tables.x[1] = r;
for (tables.x[2..256]) |*entry, i| {
const last = tables.x[2 + i - 1];
entry.* = f_inv(v / last + f(last));
}
tables.x[256] = 0;
for (tables.f[0..]) |*entry, i| {
entry.* = f(tables.x[i]);
}
return tables;
}
// N(0, 1)
pub const NormDist = blk: {
@setEvalBranchQuota(30000);
break :blk ZigTableGen(true, norm_r, norm_v, norm_f, norm_f_inv, norm_zero_case);
};
const norm_r = 3.6541528853610088;
const norm_v = 0.00492867323399;
fn norm_f(x: f64) f64 {
return math.exp(-x * x / 2.0);
}
fn norm_f_inv(y: f64) f64 {
return math.sqrt(-2.0 * math.ln(y));
}
fn norm_zero_case(random: *Random, u: f64) f64 {
var x: f64 = 1;
var y: f64 = 0;
while (-2.0 * y < x * x) {
x = math.ln(random.float(f64)) / norm_r;
y = math.ln(random.float(f64));
}
if (u < 0) {
return x - norm_r;
} else {
return norm_r - x;
}
}
test "ziggurant normal dist sanity" {
var prng = std.rand.DefaultPrng.init(0);
var i: usize = 0;
while (i < 1000) : (i += 1) {
_ = prng.random.floatNorm(f64);
}
}
// Exp(1)
pub const ExpDist = blk: {
@setEvalBranchQuota(30000);
break :blk ZigTableGen(false, exp_r, exp_v, exp_f, exp_f_inv, exp_zero_case);
};
const exp_r = 7.69711747013104972;
const exp_v = 0.0039496598225815571993;
fn exp_f(x: f64) f64 {
return math.exp(-x);
}
fn exp_f_inv(y: f64) f64 {
return -math.ln(y);
}
fn exp_zero_case(random: *Random, _: f64) f64 {
return exp_r - math.ln(random.float(f64));
}
test "ziggurant exp dist sanity" {
var prng = std.rand.DefaultPrng.init(0);
var i: usize = 0;
while (i < 1000) : (i += 1) {
_ = prng.random.floatExp(f64);
}
}
test "ziggurat table gen" {
const table = NormDist;
}