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authore4m2 <git@e4m2.com>2024-02-08 14:43:20 +0100
committere4m2 <git@e4m2.com>2024-02-08 14:43:20 +0100
commit9af077d71eaf2c004d63405fc5c017e237cb9c6c (patch)
treee9a82339e59f49ae2b6fc57c893b3e16afaed9aa /lib/std/Random/ziggurat.zig
parent919a3bae1c5f2024b09e127a15c752d9dc0aa9a6 (diff)
downloadzig-9af077d71eaf2c004d63405fc5c017e237cb9c6c.tar.gz
zig-9af077d71eaf2c004d63405fc5c017e237cb9c6c.zip
std.rand: Move to std.Random
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+//! Implements [ZIGNOR][1] (Jurgen A. Doornik, 2005, Nuffield College, Oxford).
+//!
+//! [1]: https://www.doornik.com/research/ziggurat.pdf
+//!
+//! 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 builtin = @import("builtin");
+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, @as(u8, @truncate(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 @as(f64, @bitCast(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 @as(f64, @bitCast(repr)) - (1.0 - math.floatEps(f64) / 2.0);
+ }
+ };
+
+ const x = u * tables.x[i];
+ const test_x = if (tables.is_symmetric) @abs(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
+pub 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], 0..) |*entry, i| {
+ const last = tables.x[2 + i - 1];
+ entry.* = f_inv(v / last + f(last));
+ }
+ tables.x[256] = 0;
+
+ for (tables.f[0..], 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);
+};
+
+pub const norm_r = 3.6541528853610088;
+pub const norm_v = 0.00492867323399;
+
+pub fn norm_f(x: f64) f64 {
+ return @exp(-x * x / 2.0);
+}
+pub fn norm_f_inv(y: f64) f64 {
+ return @sqrt(-2.0 * @log(y));
+}
+pub fn norm_zero_case(random: Random, u: f64) f64 {
+ var x: f64 = 1;
+ var y: f64 = 0;
+
+ while (-2.0 * y < x * x) {
+ x = @log(random.float(f64)) / norm_r;
+ y = @log(random.float(f64));
+ }
+
+ if (u < 0) {
+ return x - norm_r;
+ } else {
+ return norm_r - x;
+ }
+}
+
+test "normal dist sanity" {
+ var prng = std.rand.DefaultPrng.init(0);
+ const random = prng.random();
+
+ var i: usize = 0;
+ while (i < 1000) : (i += 1) {
+ _ = 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);
+};
+
+pub const exp_r = 7.69711747013104972;
+pub const exp_v = 0.0039496598225815571993;
+
+pub fn exp_f(x: f64) f64 {
+ return @exp(-x);
+}
+pub fn exp_f_inv(y: f64) f64 {
+ return -@log(y);
+}
+pub fn exp_zero_case(random: Random, _: f64) f64 {
+ return exp_r - @log(random.float(f64));
+}
+
+test "exp dist smoke test" {
+ var prng = std.rand.DefaultPrng.init(0);
+ const random = prng.random();
+
+ var i: usize = 0;
+ while (i < 1000) : (i += 1) {
+ _ = random.floatExp(f64);
+ }
+}
+
+test {
+ _ = NormDist;
+}