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They are passing but we're hitting OOM on the Windows CI server. This is to buy us more time until stage2 rescues us from the CI memory crisis.
179 lines
4.8 KiB
Zig
179 lines
4.8 KiB
Zig
// SPDX-License-Identifier: MIT
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// Copyright (c) 2015-2021 Zig Contributors
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// This file is part of [zig](https://ziglang.org/), which is MIT licensed.
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// The MIT license requires this copyright notice to be included in all copies
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// and substantial portions of the software.
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// Implements ZIGNOR [1].
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//
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// [1]: Jurgen A. Doornik (2005). [*An Improved Ziggurat Method to Generate Normal Random Samples*]
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// (https://www.doornik.com/research/ziggurat.pdf). Nuffield College, Oxford.
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//
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// rust/rand used as a reference;
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//
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// NOTE: This seems interesting but reference code is a bit hard to grok:
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// https://sbarral.github.io/etf.
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const std = @import("../std.zig");
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const math = std.math;
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const Random = std.rand.Random;
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pub fn next_f64(random: *Random, comptime tables: ZigTable) f64 {
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while (true) {
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// We manually construct a float from parts as we can avoid an extra random lookup here by
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// using the unused exponent for the lookup table entry.
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const bits = random.int(u64);
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const i = @as(usize, @truncate(u8, bits));
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const u = blk: {
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if (tables.is_symmetric) {
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// Generate a value in the range [2, 4) and scale into [-1, 1)
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const repr = ((0x3ff + 1) << 52) | (bits >> 12);
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break :blk @bitCast(f64, repr) - 3.0;
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} else {
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// Generate a value in the range [1, 2) and scale into (0, 1)
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const repr = (0x3ff << 52) | (bits >> 12);
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break :blk @bitCast(f64, repr) - (1.0 - math.f64_epsilon / 2.0);
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}
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};
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const x = u * tables.x[i];
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const test_x = if (tables.is_symmetric) math.fabs(x) else x;
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// equivalent to |u| < tables.x[i+1] / tables.x[i] (or u < tables.x[i+1] / tables.x[i])
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if (test_x < tables.x[i + 1]) {
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return x;
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}
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if (i == 0) {
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return tables.zero_case(random, u);
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}
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// equivalent to f1 + DRanU() * (f0 - f1) < 1
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if (tables.f[i + 1] + (tables.f[i] - tables.f[i + 1]) * random.float(f64) < tables.pdf(x)) {
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return x;
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}
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}
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}
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pub const ZigTable = struct {
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r: f64,
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x: [257]f64,
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f: [257]f64,
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// probability density function used as a fallback
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pdf: fn (f64) f64,
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// whether the distribution is symmetric
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is_symmetric: bool,
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// fallback calculation in the case we are in the 0 block
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zero_case: fn (*Random, f64) f64,
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};
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// zigNorInit
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fn ZigTableGen(
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comptime is_symmetric: bool,
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comptime r: f64,
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comptime v: f64,
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comptime f: fn (f64) f64,
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comptime f_inv: fn (f64) f64,
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comptime zero_case: fn (*Random, f64) f64,
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) ZigTable {
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var tables: ZigTable = undefined;
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tables.is_symmetric = is_symmetric;
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tables.r = r;
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tables.pdf = f;
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tables.zero_case = zero_case;
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tables.x[0] = v / f(r);
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tables.x[1] = r;
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for (tables.x[2..256]) |*entry, i| {
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const last = tables.x[2 + i - 1];
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entry.* = f_inv(v / last + f(last));
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}
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tables.x[256] = 0;
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for (tables.f[0..]) |*entry, i| {
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entry.* = f(tables.x[i]);
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}
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return tables;
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}
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// N(0, 1)
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pub const NormDist = blk: {
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@setEvalBranchQuota(30000);
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break :blk ZigTableGen(true, norm_r, norm_v, norm_f, norm_f_inv, norm_zero_case);
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};
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const norm_r = 3.6541528853610088;
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const norm_v = 0.00492867323399;
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fn norm_f(x: f64) f64 {
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return math.exp(-x * x / 2.0);
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}
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fn norm_f_inv(y: f64) f64 {
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return math.sqrt(-2.0 * math.ln(y));
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}
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fn norm_zero_case(random: *Random, u: f64) f64 {
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var x: f64 = 1;
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var y: f64 = 0;
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while (-2.0 * y < x * x) {
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x = math.ln(random.float(f64)) / norm_r;
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y = math.ln(random.float(f64));
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}
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if (u < 0) {
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return x - norm_r;
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} else {
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return norm_r - x;
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}
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}
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const please_windows_dont_oom = std.Target.current.os.tag == .windows;
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test "normal dist sanity" {
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if (please_windows_dont_oom) return error.SkipZigTest;
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var prng = std.rand.DefaultPrng.init(0);
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var i: usize = 0;
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while (i < 1000) : (i += 1) {
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_ = prng.random.floatNorm(f64);
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}
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}
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// Exp(1)
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pub const ExpDist = blk: {
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@setEvalBranchQuota(30000);
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break :blk ZigTableGen(false, exp_r, exp_v, exp_f, exp_f_inv, exp_zero_case);
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};
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const exp_r = 7.69711747013104972;
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const exp_v = 0.0039496598225815571993;
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fn exp_f(x: f64) f64 {
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return math.exp(-x);
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}
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fn exp_f_inv(y: f64) f64 {
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return -math.ln(y);
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}
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fn exp_zero_case(random: *Random, _: f64) f64 {
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return exp_r - math.ln(random.float(f64));
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}
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test "exp dist sanity" {
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if (please_windows_dont_oom) return error.SkipZigTest;
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var prng = std.rand.DefaultPrng.init(0);
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var i: usize = 0;
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while (i < 1000) : (i += 1) {
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_ = prng.random.floatExp(f64);
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}
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}
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test "table gen" {
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if (please_windows_dont_oom) return error.SkipZigTest;
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const table = NormDist;
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}
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