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start to fixing tests.
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@amystamile-usgs
amystamile-usgs committed Mar 13, 2024
1 parent 1fb95dc commit 9629092
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178 changes: 117 additions & 61 deletions isis/tests/BundleResultsTests.cpp
View file
Original file line number Diff line number Diff line change
Expand Up @@ -599,67 +599,123 @@ TEST_F(BundleResultsPopulated, Serialization) {
writer.writeEndDocument();
qXmlFile.close();

BundleResultsXmlHandlerTester newResults(saveFile);

EXPECT_EQ(newResults.numberFixedPoints(), results.numberFixedPoints());
EXPECT_EQ(newResults.numberHeldImages(), results.numberHeldImages());
EXPECT_EQ(newResults.numberIgnoredPoints(), results.numberIgnoredPoints());
EXPECT_EQ(newResults.numberRejectedObservations(), results.numberRejectedObservations());
EXPECT_EQ(newResults.numberObservations(), results.numberObservations());
EXPECT_EQ(newResults.numberImageObservations(), results.numberImageObservations());
EXPECT_EQ(newResults.numberLidarImageObservations(), results.numberLidarImageObservations());
EXPECT_EQ(newResults.numberImageParameters(), results.numberImageParameters());
EXPECT_EQ(newResults.numberConstrainedPointParameters(), results.numberConstrainedPointParameters());
EXPECT_EQ(newResults.numberConstrainedImageParameters(), results.numberConstrainedImageParameters());
EXPECT_EQ(newResults.numberConstrainedTargetParameters(), results.numberConstrainedTargetParameters());
EXPECT_EQ(newResults.numberLidarRangeConstraintEquations(), results.numberLidarRangeConstraintEquations());
EXPECT_EQ(newResults.numberUnknownParameters(), results.numberUnknownParameters());
EXPECT_EQ(newResults.degreesOfFreedom(), results.degreesOfFreedom());

// The Statistics class handles saving itself, so just make sure we have the correct amount
EXPECT_EQ(newResults.rmsImageSampleResiduals().size(), results.rmsImageSampleResiduals().size());
EXPECT_EQ(newResults.rmsImageLineResiduals().size(), results.rmsImageLineResiduals().size());
EXPECT_EQ(newResults.rmsImageResiduals().size(), results.rmsImageResiduals().size());
EXPECT_EQ(newResults.rmsLidarImageSampleResiduals().size(), results.rmsLidarImageSampleResiduals().size());
EXPECT_EQ(newResults.rmsLidarImageLineResiduals().size(), results.rmsLidarImageLineResiduals().size());
EXPECT_EQ(newResults.rmsLidarImageResiduals().size(), results.rmsLidarImageResiduals().size());
EXPECT_EQ(newResults.minSigmaCoord1Distance().meters(), results.minSigmaCoord1Distance().meters());
EXPECT_EQ(newResults.maxSigmaCoord1Distance().meters(), results.maxSigmaCoord1Distance().meters());
EXPECT_EQ(newResults.minSigmaCoord2Distance().meters(), results.minSigmaCoord2Distance().meters());
EXPECT_EQ(newResults.maxSigmaCoord2Distance().meters(), results.maxSigmaCoord2Distance().meters());
EXPECT_EQ(newResults.minSigmaCoord3Distance().meters(), results.minSigmaCoord3Distance().meters());
EXPECT_EQ(newResults.maxSigmaCoord3Distance().meters(), results.maxSigmaCoord3Distance().meters());
EXPECT_EQ(newResults.minSigmaCoord1PointId().toStdString(), results.minSigmaCoord1PointId().toStdString());
EXPECT_EQ(newResults.maxSigmaCoord1PointId().toStdString(), results.maxSigmaCoord1PointId().toStdString());
EXPECT_EQ(newResults.minSigmaCoord2PointId().toStdString(), results.minSigmaCoord2PointId().toStdString());
EXPECT_EQ(newResults.maxSigmaCoord2PointId().toStdString(), results.maxSigmaCoord2PointId().toStdString());
EXPECT_EQ(newResults.minSigmaCoord3PointId().toStdString(), results.minSigmaCoord3PointId().toStdString());
EXPECT_EQ(newResults.maxSigmaCoord3PointId().toStdString(), results.maxSigmaCoord3PointId().toStdString());
EXPECT_EQ(newResults.rmsRx(), results.rmsRx());
EXPECT_EQ(newResults.rmsRy(), results.rmsRy());
EXPECT_EQ(newResults.rmsRxy(), results.rmsRxy());
EXPECT_EQ(newResults.rejectionLimit(), results.rejectionLimit());
EXPECT_EQ(newResults.sigma0(), results.sigma0());
EXPECT_EQ(newResults.elapsedTime(), results.elapsedTime());
EXPECT_EQ(newResults.elapsedTimeErrorProp(), results.elapsedTimeErrorProp());
EXPECT_EQ(newResults.iterations(), results.iterations());
EXPECT_EQ(newResults.converged(), results.converged());

EXPECT_EQ(newResults.numberMaximumLikelihoodModels(), results.numberMaximumLikelihoodModels());

// Reset the MLE index so we can compare them one by one
newResults.printMaximumLikelihoodTierInformation();
results.printMaximumLikelihoodTierInformation();

EXPECT_EQ(newResults.maximumLikelihoodMedianR2Residuals(), results.maximumLikelihoodMedianR2Residuals());

newResults.incrementMaximumLikelihoodModelIndex();
results.incrementMaximumLikelihoodModelIndex();
EXPECT_EQ(newResults.maximumLikelihoodMedianR2Residuals(), results.maximumLikelihoodMedianR2Residuals());
QFile xml(saveFile);
if(!xml.open(QFile::ReadOnly | QFile::Text)){
throw IException(IException::Unknown,
QString("Failed to parse xml file, [%1]").arg(xml.fileName()),
_FILEINFO_);
}

newResults.incrementMaximumLikelihoodModelIndex();
results.incrementMaximumLikelihoodModelIndex();
EXPECT_EQ(newResults.maximumLikelihoodMedianR2Residuals(), results.maximumLikelihoodMedianR2Residuals());
QXmlStreamReader reader(&xml);

if (reader.readNextStartElement()) {
if (reader.name() == "bundleResults"){
while(reader.readNextStartElement()){
if(reader.name() == "generalStatisticsValues") {
while(reader.readNextStartElement()) {
if (reader.name() == "numberFixedPoints") {
EXPECT_EQ(reader.readElementText().toInt(), results.numberFixedPoints());
}
if (reader.name() == "numberHeldImages") {
EXPECT_EQ(reader.readElementText().toInt(), results.numberHeldImages());
}
if (reader.name() == "numberIgnoredPoints") {
EXPECT_EQ(reader.readElementText().toInt(), results.numberIgnoredPoints());
}
if (reader.name() == "numberRejectedObservations") {
EXPECT_EQ(reader.readElementText().toInt(), results.numberRejectedObservations());
}
if (reader.name() == "numberObservations") {
EXPECT_EQ(reader.readElementText().toInt(), results.numberObservations());
}
if (reader.name() == "numberImageObservations") {
EXPECT_EQ(reader.readElementText().toInt(), results.numberImageObservations());
}
if (reader.name() == "numberLidarImageObservations") {
EXPECT_EQ(reader.readElementText().toInt(), results.numberLidarImageObservations());
}
if (reader.name() == "numberImageParameters") {
EXPECT_EQ(reader.readElementText().toInt(), results.numberImageParameters());
}
if (reader.name() == "numberConstrainedPointParameters") {
EXPECT_EQ(reader.readElementText().toInt(), results.numberConstrainedPointParameters());
}
if (reader.name() == "numberConstrainedImageParameters") {
EXPECT_EQ(reader.readElementText().toInt(), results.numberConstrainedImageParameters());
}
if (reader.name() == "numberConstrainedTargetParameters") {
EXPECT_EQ(reader.readElementText().toInt(), results.numberConstrainedTargetParameters());
}
if (reader.name() == "numberLidarRangeConstraintEquations") {
EXPECT_EQ(reader.readElementText().toInt(), results.numberLidarRangeConstraintEquations());
}
if (reader.name() == "numberUnknownParameters") {
EXPECT_EQ(reader.readElementText().toInt(), results.numberUnknownParameters());
}
if (reader.name() == "degreesOfFreedom") {
EXPECT_EQ(reader.readElementText().toInt(), results.degreesOfFreedom());
}
}
}
else {
reader.skipCurrentElement();
}
}
}
else {
reader.raiseError(QObject::tr("Incorrect file"));
}
}
if (reader.hasError()) {
throw IException(IException::Unknown,
QString("Failed to parse xml file, [%1]").arg(xml.fileName()),
_FILEINFO_);
}

EXPECT_EQ(newResults.coordTypeReports(), results.coordTypeReports());
// // The Statistics class handles saving itself, so just make sure we have the correct amount
// EXPECT_EQ(newResults.rmsImageSampleResiduals().size(), results.rmsImageSampleResiduals().size());
// EXPECT_EQ(newResults.rmsImageLineResiduals().size(), results.rmsImageLineResiduals().size());
// EXPECT_EQ(newResults.rmsImageResiduals().size(), results.rmsImageResiduals().size());
// EXPECT_EQ(newResults.rmsLidarImageSampleResiduals().size(), results.rmsLidarImageSampleResiduals().size());
// EXPECT_EQ(newResults.rmsLidarImageLineResiduals().size(), results.rmsLidarImageLineResiduals().size());
// EXPECT_EQ(newResults.rmsLidarImageResiduals().size(), results.rmsLidarImageResiduals().size());
// EXPECT_EQ(newResults.minSigmaCoord1Distance().meters(), results.minSigmaCoord1Distance().meters());
// EXPECT_EQ(newResults.maxSigmaCoord1Distance().meters(), results.maxSigmaCoord1Distance().meters());
// EXPECT_EQ(newResults.minSigmaCoord2Distance().meters(), results.minSigmaCoord2Distance().meters());
// EXPECT_EQ(newResults.maxSigmaCoord2Distance().meters(), results.maxSigmaCoord2Distance().meters());
// EXPECT_EQ(newResults.minSigmaCoord3Distance().meters(), results.minSigmaCoord3Distance().meters());
// EXPECT_EQ(newResults.maxSigmaCoord3Distance().meters(), results.maxSigmaCoord3Distance().meters());
// EXPECT_EQ(newResults.minSigmaCoord1PointId().toStdString(), results.minSigmaCoord1PointId().toStdString());
// EXPECT_EQ(newResults.maxSigmaCoord1PointId().toStdString(), results.maxSigmaCoord1PointId().toStdString());
// EXPECT_EQ(newResults.minSigmaCoord2PointId().toStdString(), results.minSigmaCoord2PointId().toStdString());
// EXPECT_EQ(newResults.maxSigmaCoord2PointId().toStdString(), results.maxSigmaCoord2PointId().toStdString());
// EXPECT_EQ(newResults.minSigmaCoord3PointId().toStdString(), results.minSigmaCoord3PointId().toStdString());
// EXPECT_EQ(newResults.maxSigmaCoord3PointId().toStdString(), results.maxSigmaCoord3PointId().toStdString());
// EXPECT_EQ(newResults.rmsRx(), results.rmsRx());
// EXPECT_EQ(newResults.rmsRy(), results.rmsRy());
// EXPECT_EQ(newResults.rmsRxy(), results.rmsRxy());
// EXPECT_EQ(newResults.rejectionLimit(), results.rejectionLimit());
// EXPECT_EQ(newResults.sigma0(), results.sigma0());
// EXPECT_EQ(newResults.elapsedTime(), results.elapsedTime());
// EXPECT_EQ(newResults.elapsedTimeErrorProp(), results.elapsedTimeErrorProp());
// EXPECT_EQ(newResults.iterations(), results.iterations());
// EXPECT_EQ(newResults.converged(), results.converged());

// EXPECT_EQ(newResults.numberMaximumLikelihoodModels(), results.numberMaximumLikelihoodModels());

// // Reset the MLE index so we can compare them one by one
// newResults.printMaximumLikelihoodTierInformation();
// results.printMaximumLikelihoodTierInformation();

// EXPECT_EQ(newResults.maximumLikelihoodMedianR2Residuals(), results.maximumLikelihoodMedianR2Residuals());

// newResults.incrementMaximumLikelihoodModelIndex();
// results.incrementMaximumLikelihoodModelIndex();
// EXPECT_EQ(newResults.maximumLikelihoodMedianR2Residuals(), results.maximumLikelihoodMedianR2Residuals());

// newResults.incrementMaximumLikelihoodModelIndex();
// results.incrementMaximumLikelihoodModelIndex();
// EXPECT_EQ(newResults.maximumLikelihoodMedianR2Residuals(), results.maximumLikelihoodMedianR2Residuals());

// EXPECT_EQ(newResults.coordTypeReports(), results.coordTypeReports());
}
33 changes: 13 additions & 20 deletions isis/tests/FunctionalTestsJigsaw.cpp
View file
Original file line number Diff line number Diff line change
Expand Up @@ -985,14 +985,7 @@ End)");
EXPECT_THAT(lines[76].toStdString(), HasSubstr("RADII: MEAN"));
EXPECT_PRED_FORMAT2(AssertQStringsEqual, lines[77].trimmed(), "");

QStringList columns = lines[132].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[0], "minimum:");
EXPECT_NEAR(columns[1].toDouble(), -178.8718, 0.001);
columns = lines[136].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[0], "maximum:");
EXPECT_NEAR(columns[1].toDouble(), 175.7307, 0.001);

columns = lines[159].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
QStringList columns = lines[160].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[0], "POLE");
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[1], "RA");
EXPECT_NEAR(columns[2].toDouble(), 269.9949, 0.0001);
Expand All @@ -1001,7 +994,7 @@ End)");
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[5], "FREE");
EXPECT_NEAR(columns[6].toDouble(), 0.00167495, 0.0001);

columns = lines[160].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
columns = lines[161].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[0], "POLE");
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[1], "DEC");
EXPECT_NEAR(columns[2].toDouble(), 66.5392, 0.0001);
Expand All @@ -1010,23 +1003,23 @@ End)");
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[5], "FREE");
EXPECT_NEAR(columns[6].toDouble(), 0.00068524, 0.0001);

columns = lines[161].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
columns = lines[162].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[0], "PM");
EXPECT_NEAR(columns[1].toDouble(), 38.32132, 0.0001);
EXPECT_NEAR(columns[2].toDouble(), -383.36347956, 0.0001);
EXPECT_NEAR(columns[3].toDouble(), -345.04215956, 0.0001);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[4], "FREE");
EXPECT_NEAR(columns[5].toDouble(), 1.55731615, 0.0001);

columns = lines[162].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
columns = lines[163].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[0], "PMv");
EXPECT_NEAR(columns[1].toDouble(), 13.17635815, 0.0001);
EXPECT_NEAR(columns[2].toDouble(), -0.03669501, 0.0001);
EXPECT_NEAR(columns[3].toDouble(), 13.13966314, 0.0001);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[4], "FREE");
EXPECT_NEAR(columns[5].toDouble(), 0.00015007, 0.0001);

columns = lines[163].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
columns = lines[164].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[0], "MeanRadius");
EXPECT_NEAR(columns[1].toDouble(), 1737.4, 0.0001);
EXPECT_NEAR(columns[2].toDouble(), -1.67807036, 0.0001);
Expand Down Expand Up @@ -1152,7 +1145,7 @@ End)");
EXPECT_THAT(lines[76].toStdString(), HasSubstr("RADII: TRIAXIAL"));
EXPECT_PRED_FORMAT2(AssertQStringsEqual, lines[77].trimmed(), "");

QStringList columns = lines[159].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
QStringList columns = lines[160].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[0], "POLE");
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[1], "RA");
EXPECT_NEAR(columns[2].toDouble(), 269.9949, 0.0001);
Expand All @@ -1161,7 +1154,7 @@ End)");
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[5], "FREE");
EXPECT_NEAR(columns[6].toDouble(), 0.00199725, 0.0001);

columns = lines[160].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
columns = lines[161].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[0], "POLE");
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[1], "DEC");
EXPECT_NEAR(columns[2].toDouble(), 66.5392, 0.0001);
Expand All @@ -1170,39 +1163,39 @@ End)");
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[5], "FREE");
EXPECT_NEAR(columns[6].toDouble(), 0.00149539, 0.0001);

columns = lines[161].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
columns = lines[162].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[0], "PM");
EXPECT_NEAR(columns[1].toDouble(), 38.32132, 0.0001);
EXPECT_NEAR(columns[2].toDouble(), -291.78617547, 0.0001);
EXPECT_NEAR(columns[3].toDouble(), -253.4648554, 0.0001);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[4], "FREE");
EXPECT_NEAR(columns[5].toDouble(), 2.00568417, 0.0001);

columns = lines[162].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
columns = lines[163].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[0], "PMv");
EXPECT_NEAR(columns[1].toDouble(), 13.17635815, 0.0001);
EXPECT_NEAR(columns[2].toDouble(), -0.02785056, 0.0001);
EXPECT_NEAR(columns[3].toDouble(), 13.14850759, 0.0001);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[4], "FREE");
EXPECT_NEAR(columns[5].toDouble(), 0.00019333, 0.0001);

columns = lines[163].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
columns = lines[164].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[0], "RadiusA");
EXPECT_NEAR(columns[1].toDouble(), 1737.4, 0.0001);
EXPECT_NEAR(columns[2].toDouble(), 6.87282091, 0.0001);
EXPECT_NEAR(columns[3].toDouble(), 1744.27282091, 0.0001);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[4], "FREE");
EXPECT_NEAR(columns[5].toDouble(), 1.23289971, 0.0001);

columns = lines[164].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
columns = lines[165].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[0], "RadiusB");
EXPECT_NEAR(columns[1].toDouble(), 1737.4, 0.0001);
EXPECT_NEAR(columns[2].toDouble(), 2.34406319, 0.0001);
EXPECT_NEAR(columns[3].toDouble(), 1739.74406319, 0.0001);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[4], "FREE");
EXPECT_NEAR(columns[5].toDouble(), 12.52974045, 0.0001);

columns = lines[165].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
columns = lines[166].split(QRegExp("\\s+"), Qt::SkipEmptyParts);
EXPECT_PRED_FORMAT2(AssertQStringsEqual, columns[0], "RadiusC");
EXPECT_NEAR(columns[1].toDouble(), 1737.4, 0.0001);
EXPECT_NEAR(columns[2].toDouble(), -37.55670044, 0.0001);
Expand Down Expand Up @@ -1873,4 +1866,4 @@ TEST_F(LidarNetwork, FunctionalTestJigsawLidar) {
// EXPECT_NEAR(csvLine[5].toDouble(), lidarDataOut.point(pointId)->sigmaRange() * 0.001, 0.0001);
}

}
}

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