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.. so can adjust stress for altitude, which is useful for those that train at altitude regularly (e.g. training camps).
316 lines
9.5 KiB
C++
316 lines
9.5 KiB
C++
/*
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* Copyright (c) 2015 Mark Liversedge (liversedge@gmail.com)
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*
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* This program is free software; you can redistribute it and/or modify it
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* under the terms of the GNU General Public License as published by the Free
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* Software Foundation; either version 2 of the License, or (at your option)
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* any later version.
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*
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* This program is distributed in the hope that it will be useful, but WITHOUT
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* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
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* more details.
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*
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* You should have received a copy of the GNU General Public License along
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* with this program; if not, write to the Free Software Foundation, Inc., 51
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* Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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*/
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#include "RideMetric.h"
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#include "RideItem.h"
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#include "Zones.h"
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#include <cmath>
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#include <QApplication>
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class aNP : public RideMetric {
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Q_DECLARE_TR_FUNCTIONS(aNP)
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double np;
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double secs;
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public:
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aNP() : np(0.0), secs(0.0)
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{
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setSymbol("a_coggan_np");
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setInternalName("aNP");
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}
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void initialize() {
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setName("aNP");
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setType(RideMetric::Average);
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setMetricUnits("watts");
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setImperialUnits("watts");
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setPrecision(0);
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}
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void compute(const RideFile *ride, const Zones *, int,
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const HrZones *, int,
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const QHash<QString,RideMetric*> &,
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const Context *) {
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if(ride->recIntSecs() == 0) return;
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int rollingwindowsize = 30 / ride->recIntSecs();
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double total = 0;
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int count = 0;
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// no point doing a rolling average if the
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// sample rate is greater than the rolling average
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// window!!
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if (rollingwindowsize > 1) {
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QVector<double> rolling(rollingwindowsize);
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int index = 0;
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double sum = 0;
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// loop over the data and convert to a rolling
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// average for the given windowsize
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for (int i=0; i<ride->dataPoints().size(); i++) {
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sum += ride->dataPoints()[i]->apower;
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sum -= rolling[index];
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rolling[index] = ride->dataPoints()[i]->apower;
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total += pow(sum/rollingwindowsize,4); // raise rolling average to 4th power
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count ++;
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// move index on/round
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index = (index >= rollingwindowsize-1) ? 0 : index+1;
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}
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}
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if (count) {
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np = pow(total / (count), 0.25);
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secs = count * ride->recIntSecs();
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} else {
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np = secs = 0;
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}
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setValue(np);
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setCount(secs);
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}
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bool isRelevantForRide(const RideItem*ride) const { return (!ride->isRun && !ride->isSwim); }
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RideMetric *clone() const { return new aNP(*this); }
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};
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class aVI : public RideMetric {
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Q_DECLARE_TR_FUNCTIONS(aVI)
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double vi;
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double secs;
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public:
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aVI() : vi(0.0), secs(0.0)
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{
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setSymbol("a_coggam_variability_index");
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setInternalName("aVI");
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}
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void initialize() {
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setName("aVI");
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setType(RideMetric::Average);
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setPrecision(3);
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}
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void compute(const RideFile *, const Zones *, int,
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const HrZones *, int,
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const QHash<QString,RideMetric*> &deps,
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const Context *) {
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assert(deps.contains("a_coggan_np"));
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assert(deps.contains("average_power"));
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aNP *np = dynamic_cast<aNP*>(deps.value("a_coggan_np"));
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assert(np);
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RideMetric *ap = dynamic_cast<RideMetric*>(deps.value("average_power"));
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assert(ap);
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vi = np->value(true) / ap->value(true);
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secs = np->count();
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setValue(vi);
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setCount(secs);
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}
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bool isRelevantForRide(const RideItem*ride) const { return (!ride->isRun && !ride->isSwim); }
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RideMetric *clone() const { return new aVI(*this); }
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};
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class aIntensityFactor : public RideMetric {
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Q_DECLARE_TR_FUNCTIONS(aIntensityFactor)
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double rif;
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double secs;
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public:
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aIntensityFactor() : rif(0.0), secs(0.0)
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{
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setSymbol("a_coggan_if");
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setInternalName("aIF");
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}
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void initialize() {
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setName("aIF");
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setType(RideMetric::Average);
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setPrecision(3);
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}
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void compute(const RideFile *r, const Zones *zones, int zoneRange,
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const HrZones *, int,
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const QHash<QString,RideMetric*> &deps,
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const Context *) {
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if (zones && zoneRange >= 0) {
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assert(deps.contains("a_coggan_np"));
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aNP *np = dynamic_cast<aNP*>(deps.value("a_coggan_np"));
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assert(np);
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int cp = r->getTag("CP","0").toInt();
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rif = np->value(true) / (cp ? cp : zones->getCP(zoneRange));
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secs = np->count();
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setValue(rif);
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setCount(secs);
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}
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}
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bool isRelevantForRide(const RideItem*ride) const { return (!ride->isRun && !ride->isSwim); }
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RideMetric *clone() const { return new aIntensityFactor(*this); }
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};
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class aTSS : public RideMetric {
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Q_DECLARE_TR_FUNCTIONS(aTSS)
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double score;
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public:
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aTSS() : score(0.0)
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{
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setSymbol("a_coggan_tss");
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setInternalName("aTSS");
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}
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void initialize() {
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setName("aTSS");
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setType(RideMetric::Total);
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}
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void compute(const RideFile *r, const Zones *zones, int zoneRange,
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const HrZones *, int,
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const QHash<QString,RideMetric*> &deps,
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const Context *) {
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if (!zones || zoneRange < 0)
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return;
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assert(deps.contains("a_coggan_np"));
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assert(deps.contains("a_coggan_if"));
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aNP *np = dynamic_cast<aNP*>(deps.value("a_coggan_np"));
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RideMetric *rif = deps.value("a_coggan_if");
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assert(rif);
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double normWork = np->value(true) * np->count();
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double rawTSS = normWork * rif->value(true);
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int cp = r->getTag("CP","0").toInt();
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double workInAnHourAtCP = (cp ? cp : zones->getCP(zoneRange)) * 3600;
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score = rawTSS / workInAnHourAtCP * 100.0;
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setValue(score);
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}
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bool isRelevantForRide(const RideItem*ride) const { return (!ride->isRun && !ride->isSwim); }
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RideMetric *clone() const { return new aTSS(*this); }
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};
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class aTSSPerHour : public RideMetric {
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Q_DECLARE_TR_FUNCTIONS(aTSSPerHour)
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double points;
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double hours;
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public:
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aTSSPerHour() : points(0.0), hours(0.0)
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{
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setSymbol("a_coggan_tssperhour");
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setInternalName("aTSS per hour");
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}
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void initialize() {
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setName(tr("aTSS per hour"));
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setType(RideMetric::Average);
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setPrecision(0);
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}
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void compute(const RideFile *, const Zones *, int ,
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const HrZones *, int,
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const QHash<QString,RideMetric*> &deps,
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const Context *) {
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// tss
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assert(deps.contains("a_coggan_tss"));
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aTSS *tss = dynamic_cast<aTSS*>(deps.value("a_coggan_tss"));
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assert(tss);
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// duration
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assert(deps.contains("workout_time"));
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RideMetric *duration = deps.value("workout_time");
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assert(duration);
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points = tss->value(true);
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hours = duration->value(true) / 3600;
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// set
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if (hours) setValue(points/hours);
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else setValue(0);
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setCount(hours);
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}
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bool isRelevantForRide(const RideItem*ride) const { return (!ride->isRun && !ride->isSwim); }
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RideMetric *clone() const { return new aTSSPerHour(*this); }
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};
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class aEfficiencyFactor : public RideMetric {
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Q_DECLARE_TR_FUNCTIONS(aEfficiencyFactor)
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double ef;
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public:
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aEfficiencyFactor() : ef(0.0)
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{
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setSymbol("a_friel_efficiency_factor");
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setInternalName("aPower Efficiency Factor");
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}
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void initialize() {
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setName(tr("aPower Efficiency Factor"));
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setType(RideMetric::Average);
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setMetricUnits(tr(""));
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setImperialUnits(tr(""));
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setPrecision(3);
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}
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void compute(const RideFile *, const Zones *, int,
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const HrZones *, int,
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const QHash<QString,RideMetric*> &deps,
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const Context *) {
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assert(deps.contains("a_coggan_np"));
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assert(deps.contains("average_hr"));
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aNP *np = dynamic_cast<aNP*>(deps.value("a_coggan_np"));
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assert(np);
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RideMetric *ah = dynamic_cast<RideMetric*>(deps.value("average_hr"));
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assert(ah);
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ef = np->value(true) / ah->value(true);
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setValue(ef);
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}
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bool isRelevantForRide(const RideItem*ride) const { return (!ride->isRun && !ride->isSwim); }
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RideMetric *clone() const { return new aEfficiencyFactor(*this); }
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};
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static bool addAllaCoggan() {
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RideMetricFactory::instance().addMetric(aNP());
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QVector<QString> deps;
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deps.append("a_coggan_np");
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RideMetricFactory::instance().addMetric(aIntensityFactor(), &deps);
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deps.append("a_coggan_if");
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RideMetricFactory::instance().addMetric(aTSS(), &deps);
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deps.clear();
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deps.append("a_coggan_np");
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deps.append("average_power");
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RideMetricFactory::instance().addMetric(aVI(), &deps);
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deps.clear();
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deps.append("a_coggan_np");
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deps.append("average_hr");
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RideMetricFactory::instance().addMetric(aEfficiencyFactor(), &deps);
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deps.clear();
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deps.append("a_coggan_tss");
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deps.append("workout_time");
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RideMetricFactory::instance().addMetric(aTSSPerHour(), &deps);
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return true;
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}
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static bool aCogganAdded = addAllaCoggan();
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