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