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// -*- mode: C++; c-file-style: "cc-mode" -*-
//*************************************************************************
//
// Code available from: https://verilator.org
//
// Copyright 2003-2025 by Wilson Snyder. This program is free software; you can
// redistribute it and/or modify it under the terms of either the GNU
// Lesser General Public License Version 3 or the Perl Artistic License
// Version 2.0.
// SPDX-License-Identifier: LGPL-3.0-only OR Artistic-2.0
//
//=========================================================================
///
/// \file
/// \brief Verilated probability distribution implementation code
///
/// Verilator always adds this file to the Makefile for the linker.
///
/// Those macro/function/variable starting or ending in _ are internal,
/// however many of the other function/macros here are also internal.
///
//=========================================================================
#include "verilated_config.h"
#include "verilatedos.h"
#include "verilated.h"
//===========================================================================
// Dist
static double _vl_dbase_uniform(IData& seedr, int32_t start, int32_t end) VL_MT_SAFE {
union u_s {
float s;
unsigned stemp;
} u;
const double d = 0.00000011920928955078125;
if (VL_UNLIKELY(seedr == 0)) seedr = 259341593;
double a;
double b;
if (VL_UNCOVERABLE(start >= end)) { // With current usage shound't occur
a = 0.0; // LCOV_EXCL_LINE
b = 2147483647.0; // LCOV_EXCL_LINE
} else {
a = static_cast<double>(start);
b = static_cast<double>(end);
}
seedr = 69069 * seedr + 1;
u.stemp = seedr;
u.stemp = (u.stemp >> 9) | 0x3f800000;
double c = static_cast<double>(u.s);
c = c + (c * d);
c = ((b - a) * (c - 1.0)) + a;
return c;
}
static double _vl_dbase_normal(IData& seedr, int32_t mean, int32_t deviation) VL_MT_SAFE {
double v1 = 0.0;
double v2 = 0.0;
double s = 1.0;
while ((s >= 1.0) || (s == 0.0)) {
v1 = _vl_dbase_uniform(seedr, -1, 1);
v2 = _vl_dbase_uniform(seedr, -1, 1);
s = v1 * v1 + v2 * v2;
}
s = v1 * std::sqrt(-2.0 * log(s) / s);
v1 = static_cast<double>(deviation);
v2 = static_cast<double>(mean);
return (s * v1 + v2);
}
static double _vl_dbase_exponential(IData& seedr, int32_t mean) VL_MT_SAFE {
double n = _vl_dbase_uniform(seedr, 0, 1);
if (n != 0) n = -log(n) * mean;
return n;
}
static double _vl_dbase_chi_square(IData& seedr, int32_t deg_of_free) VL_MT_SAFE {
double x;
if (deg_of_free % 2) {
x = _vl_dbase_normal(seedr, 0, 1);
x = x * x;
} else {
x = 0.0;
}
for (int32_t k = 2; k <= deg_of_free; k += 2) x = x + 2 * _vl_dbase_exponential(seedr, 1);
return x;
}
IData VL_DIST_CHI_SQUARE(IData& seedr, IData udf) VL_MT_SAFE {
const int32_t df = static_cast<int32_t>(udf);
if (VL_UNLIKELY(df <= 0)) {
// Chi_square distribution must have positive degree of freedom
return 0;
}
double r = _vl_dbase_chi_square(seedr, df);
int32_t i;
if (r >= 0) {
i = static_cast<int32_t>(r + 0.5);
} else {
r = -r; // LCOV_EXCL_LINE
i = static_cast<int32_t>(r + 0.5); // LCOV_EXCL_LINE
i = -i; // LCOV_EXCL_LINE
}
return static_cast<IData>(i);
}
IData VL_DIST_ERLANG(IData& seedr, IData uk, IData umean) VL_MT_SAFE {
const int32_t k = static_cast<int32_t>(uk);
const int32_t mean = static_cast<int32_t>(umean);
if (VL_UNLIKELY(k <= 0)) {
// k-stage erlangian distribution must have positive k
return 0;
}
double x = 1.0;
for (int32_t i = 1; i <= k; ++i) x = x * _vl_dbase_uniform(seedr, 0, 1);
const double a = static_cast<double>(mean);
const double b = static_cast<double>(k);
double r = -a * log(x) / b;
int32_t i;
if (r >= 0) {
i = static_cast<int32_t>(r + 0.5);
} else {
r = -r;
i = static_cast<int32_t>(r + 0.5);
i = -i;
}
return static_cast<IData>(i);
}
IData VL_DIST_EXPONENTIAL(IData& seedr, IData umean) VL_MT_SAFE {
const int32_t mean = static_cast<int32_t>(umean);
if (VL_UNLIKELY(mean <= 0)) {
// Exponential distribution must have a positive mean
return 0;
}
int32_t i;
double r = _vl_dbase_exponential(seedr, mean);
if (r >= 0) {
i = static_cast<int32_t>(r + 0.5);
} else {
r = -r; // LCOV_EXCL_LINE
i = static_cast<int32_t>(r + 0.5); // LCOV_EXCL_LINE
i = -i; // LCOV_EXCL_LINE
}
return static_cast<IData>(i);
}
IData VL_DIST_NORMAL(IData& seedr, IData umean, IData usd) VL_MT_SAFE {
const int32_t mean = static_cast<int32_t>(umean);
const int32_t sd = static_cast<int32_t>(usd);
double r = _vl_dbase_normal(seedr, mean, sd);
int32_t i;
if (r >= 0) {
i = static_cast<int32_t>(r + 0.5);
} else {
r = -r;
i = static_cast<int32_t>(r + 0.5);
i = -i;
}
return static_cast<IData>(i);
}
IData VL_DIST_POISSON(IData& seedr, IData umean) VL_MT_SAFE {
const int32_t mean = static_cast<int32_t>(umean);
if (VL_UNLIKELY(mean <= 0)) {
// Poisson distribution must have a positive mean
return 0;
}
int32_t i = 0;
double q = -static_cast<double>(mean);
double p = exp(q);
q = _vl_dbase_uniform(seedr, 0, 1);
while (p < q) {
++i;
q = _vl_dbase_uniform(seedr, 0, 1) * q;
}
return static_cast<IData>(i);
}
IData VL_DIST_T(IData& seedr, IData udf) VL_MT_SAFE {
const int32_t df = static_cast<int32_t>(udf);
if (VL_UNLIKELY(df <= 0)) {
// t distribution must have positive degree of freedom
return 0;
}
const double chi2 = _vl_dbase_chi_square(seedr, df);
const double div = chi2 / static_cast<double>(df);
const double root = std::sqrt(div);
double r = _vl_dbase_normal(seedr, 0, 1) / root;
int32_t i;
if (r >= 0) {
i = static_cast<int32_t>(r + 0.5);
} else {
r = -r;
i = static_cast<int32_t>(r + 0.5);
i = -i;
}
return static_cast<IData>(i);
}
IData VL_DIST_UNIFORM(IData& seedr, IData ustart, IData uend) VL_MT_SAFE {
int32_t start = static_cast<int32_t>(ustart);
int32_t end = static_cast<int32_t>(uend);
if (VL_UNLIKELY(start >= end)) return start;
int32_t i;
if (end != std::numeric_limits<int32_t>::max()) {
++end;
const double r = _vl_dbase_uniform(seedr, start, end);
if (r >= 0) {
i = static_cast<int32_t>(r);
} else {
i = static_cast<int32_t>(r - 1);
}
if (i < start) i = start;
if (i >= end) i = end - 1;
} else if (start != std::numeric_limits<int32_t>::min()) {
--start;
const double r = _vl_dbase_uniform(seedr, start, end) + 1.0;
if (r >= 0) {
i = static_cast<int32_t>(r);
} else {
i = static_cast<int32_t>(r - 1); // LCOV_EXCL_LINE
}
if (i <= start) i = start + 1;
if (i > end) i = end;
} else {
double r = (_vl_dbase_uniform(seedr, start, end) + 2147483648.0) / 4294967295.0;
r = r * 4294967296.0 - 2147483648.0;
if (r >= 0) {
i = static_cast<int32_t>(r);
} else {
i = static_cast<int32_t>(r - 1);
}
}
return static_cast<IData>(i);
}
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