// 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