// 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("../index.zig"); const math = std.math; const Random = std.rand.Random; pub fn next_f64(random: &Random, comptime tables: &const 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.scalar(u64); const i = usize(bits & 0xff); 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); } }