// OpenSTA, Static Timing Analyzer
// Copyright (c) 2025, Parallax Software, Inc.
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program. If not, see .
//
// The origin of this software must not be misrepresented; you must not
// claim that you wrote the original software.
//
// Altered source versions must be plainly marked as such, and must not be
// misrepresented as being the original software.
//
// This notice may not be removed or altered from any source distribution.
#include "DelayNormal.hh"
#include // sqrt
#include "Error.hh"
#include "Fuzzy.hh"
#include "Units.hh"
#include "Format.hh"
#include "StaState.hh"
#include "Variables.hh"
namespace sta {
float
DelayOpsNormal::stdDev2(const Delay &delay,
const EarlyLate *) const
{
return delay.stdDev2();
}
float
DelayOpsNormal::asFloat(const Delay &delay,
const EarlyLate *early_late,
const StaState *sta) const
{
float quantile = sta->variables()->pocvQuantile();
if (early_late == EarlyLate::early())
return delay.mean() - delay.stdDev() * quantile;
else // (early_late == EarlyLate::late())
return delay.mean() + delay.stdDev() * quantile;
}
double
DelayOpsNormal::asFloat(const DelayDbl &delay,
const EarlyLate *early_late,
const StaState *sta) const
{
double quantile = sta->variables()->pocvQuantile();
if (early_late == EarlyLate::early())
return delay.mean() - delay.stdDev() * quantile;
else // (early_late == EarlyLate::late())
return delay.mean() + delay.stdDev() * quantile;
}
bool
DelayOpsNormal::isZero(const Delay &delay) const
{
return fuzzyZero(delay.mean())
&& fuzzyZero(delay.stdDev2());
}
bool
DelayOpsNormal::isInf(const Delay &delay) const
{
return fuzzyInf(delay.mean());
}
bool
DelayOpsNormal::equal(const Delay &delay1,
const Delay &delay2,
const StaState *) const
{
return fuzzyEqual(delay1.mean(), delay2.mean())
&& fuzzyEqual(delay1.stdDev2(), delay2.stdDev2());
}
bool
DelayOpsNormal::less(const Delay &delay1,
const Delay &delay2,
const StaState *sta) const
{
return fuzzyLess(delayAsFloat(delay1, EarlyLate::early(), sta),
delayAsFloat(delay2, EarlyLate::early(), sta));
}
bool
DelayOpsNormal::less(const DelayDbl &delay1,
const DelayDbl &delay2,
const StaState *sta) const
{
return fuzzyLess(delayAsFloat(delay1, EarlyLate::early(), sta),
delayAsFloat(delay2, EarlyLate::early(), sta));
}
bool
DelayOpsNormal::lessEqual(const Delay &delay1,
const Delay &delay2,
const StaState *sta) const
{
return fuzzyLessEqual(delayAsFloat(delay1, EarlyLate::early(), sta),
delayAsFloat(delay2, EarlyLate::early(), sta));
}
bool
DelayOpsNormal::greater(const Delay &delay1,
const Delay &delay2,
const StaState *sta) const
{
return fuzzyGreater(delayAsFloat(delay1, EarlyLate::late(), sta),
delayAsFloat(delay2, EarlyLate::late(), sta));
}
bool
DelayOpsNormal::greaterEqual(const Delay &delay1,
const Delay &delay2,
const StaState *sta) const
{
return fuzzyGreaterEqual(delayAsFloat(delay1, EarlyLate::late(), sta),
delayAsFloat(delay2, EarlyLate::late(), sta));
}
Delay
DelayOpsNormal::sum(const Delay &delay1,
const Delay &delay2) const
{
return Delay(delay1.mean() + delay2.mean(),
delay1.stdDev2() + delay2.stdDev2());
}
Delay
DelayOpsNormal::sum(const Delay &delay1,
float delay2) const
{
return Delay(delay1.mean() + delay2,
delay1.stdDev2());
}
Delay
DelayOpsNormal::diff(const Delay &delay1,
const Delay &delay2) const
{
return Delay(delay1.mean() - delay2.mean(),
delay1.stdDev2() + delay2.stdDev2());
}
Delay
DelayOpsNormal::diff(const Delay &delay1,
float delay2) const
{
return Delay(delay1.mean() - delay2,
delay1.stdDev2());
}
Delay
DelayOpsNormal::diff(float delay1,
const Delay &delay2) const
{
return Delay(delay1 - delay2.mean(),
delay2.stdDev2());
}
void
DelayOpsNormal::incr(Delay &delay1,
const Delay &delay2) const
{
delay1.setValues(delay1.mean() + delay2.mean(), 0.0,
delay1.stdDev2() + delay2.stdDev2(), 0.0);
}
void
DelayOpsNormal::incr(DelayDbl &delay1,
const Delay &delay2) const
{
delay1.setValues(delay1.mean() + delay2.mean(), 0.0,
delay1.stdDev2() + delay2.stdDev2(), 0.0);
}
void
DelayOpsNormal::decr(Delay &delay1,
const Delay &delay2) const
{
delay1.setMean(delay1.mean() - delay2.mean());
}
void
DelayOpsNormal::decr(DelayDbl &delay1,
const Delay &delay2) const
{
delay1.setMean(delay1.mean() - delay2.mean());
}
Delay
DelayOpsNormal::product(const Delay &delay1,
float delay2) const
{
return Delay(delay1.mean() * delay2,
delay1.stdDev2() * square(delay2));
}
Delay
DelayOpsNormal::div(float delay1,
const Delay &delay2) const
{
return Delay(delay1 / delay2.mean());
}
std::string
DelayOpsNormal::asStringVariance(const Delay &delay,
int digits,
const StaState *sta) const
{
const Unit *unit = sta->units()->timeUnit();
return sta::format("{}[{}]",
unit->asString(delay.mean(), digits),
unit->asString(delay.stdDev(), digits));
}
} // namespace