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testAverageDataParser.cc
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// Unit tests for AverageTools
// S. Kluth, 9/2012
#include "AverageDataParser.hh"
#include <iostream>
#include <sstream>
#include <string>
#include <vector>
#include <map>
#include <TVectorD.h>
#include <TMatrixD.h>
#include <TMatrixDSym.h>
// BOOST test stuff:
#define BOOST_TEST_DYN_LINK
#define BOOST_TEST_MODULE averagedataparsertests
#include <boost/test/unit_test.hpp>
// Namespaces:
using std::string;
using std::vector;
using std::map;
// Helpers:
void checkVector( const TVectorD& obtained,
const TVectorD& expected ) {
BOOST_CHECK_EQUAL( obtained.GetNoElements(), expected.GetNoElements() );
for( Int_t i= 0; i < expected.GetNoElements(); i++ ) {
BOOST_CHECK_CLOSE( obtained[i], expected[i], 1.0e-4 );
}
}
void checkMatrix( const TMatrixD& obtained,
const TMatrixD& expected ) {
Int_t nrowo= obtained.GetNrows();
Int_t nrowe= expected.GetNrows();
Int_t ncolo= obtained.GetNcols();
Int_t ncole= expected.GetNcols();
BOOST_CHECK_EQUAL( nrowo, nrowe );
BOOST_CHECK_EQUAL( ncolo, ncole );
for( Int_t irow= 0; irow < nrowe; irow++ ) {
for( Int_t icol= 0; icol < ncole; icol++ ) {
BOOST_CHECK_CLOSE( obtained(irow,icol), expected(irow,icol), 1.0e-4 );
}
}
}
void checkVectorMap( const map<string,TVectorD>& obtained,
const map<string,TVectorD>& expected ) {
BOOST_CHECK_EQUAL( obtained.size(), expected.size() );
for( map<string,TVectorD>::const_iterator itr= obtained.begin(),
expitr= expected.begin();
expitr != expected.end(); itr++, expitr++ ) {
BOOST_CHECK_EQUAL( itr->first, expitr->first );
checkVector( itr->second, expitr->second );
}
return;
}
void checkMatrixMap( const map<string,TMatrixDSym>& obtained,
const map<string,TMatrixDSym>& expected ) {
BOOST_CHECK_EQUAL( obtained.size(), expected.size() );
for( map<string,TMatrixDSym>::const_iterator itr= obtained.begin(),
expitr= expected.begin();
expitr != expected.end(); itr++, expitr++ ) {
BOOST_CHECK_EQUAL( itr->first, expitr->first );
checkMatrix( itr->second, expitr->second );
}
return;
}
void checkStringMap( const map<string,string>& obtained,
const map<string,string>& expected ) {
BOOST_CHECK_EQUAL( obtained.size(), expected.size() );
for( map<string, string >::const_iterator itr= obtained.begin(),
expecteditr= expected.begin();
expecteditr != expected.end(); itr++, expecteditr++ ) {
BOOST_CHECK_EQUAL( itr->first, expecteditr->first );
BOOST_CHECK_EQUAL( itr->second, expecteditr->second );
}
return;
}
// Test fixture for "test.txt":
class AverageDataParserTestFixture {
public:
AverageDataParserTestFixture() : parser( "test.txt" ) {}
AverageDataParser parser;
std::ostringstream osst;
};
// Declare test suite name and fixture class to BOOST:
BOOST_FIXTURE_TEST_SUITE( averagedataparsersuite, AverageDataParserTestFixture )
// Test cases:
BOOST_AUTO_TEST_CASE( testgetNames ) {
BOOST_MESSAGE( "testgetNames" );
vector<string> names= parser.getNames();
vector<string> expectednames;
expectednames.push_back( "val1" );
expectednames.push_back( "val2" );
expectednames.push_back( "val3" );
BOOST_CHECK_EQUAL( names.size(), expectednames.size() );
BOOST_CHECK_EQUAL_COLLECTIONS( names.begin(), names.end(),
expectednames.begin(), expectednames.end() );
}
BOOST_AUTO_TEST_CASE( testgetValues ) {
BOOST_MESSAGE( "testgetValues" );
TVectorD values= parser.getValues();
Double_t data[]= { 171.5, 173.1, 174.5 };
TVectorD expectedValues( 3, data );
checkVector( values, expectedValues );
}
BOOST_AUTO_TEST_CASE( testgetErrors ) {
BOOST_MESSAGE( "testgetErrors" );
map<string,TVectorD> errorsmap= parser.getErrors();
map<string,TVectorD> expectederrorsmap;
Double_t datastat[]= { 0.3, 0.33, 0.4 };
expectederrorsmap.insert( map<string,TVectorD>::value_type( "00stat", TVectorD( 3, datastat ) ) );
Double_t dataerr1[]= { 1.1, 1.3, 1.5 };
expectederrorsmap.insert( map<string,TVectorD>::value_type( "01err1", TVectorD( 3, dataerr1 ) ) );
Double_t dataerr2[]= { 0.9, 1.5, 1.9 };
expectederrorsmap.insert( map<string,TVectorD>::value_type( "02err2", TVectorD( 3, dataerr2 ) ) );
Double_t dataerr3[]= { 2.4, 3.1, 3.5 };
expectederrorsmap.insert( map<string,TVectorD>::value_type( "03err3", TVectorD( 3, dataerr3 ) ) );
Double_t dataerr4[]= { 1.4, 2.9, 3.3 };
expectederrorsmap.insert( map<string,TVectorD>::value_type( "04err4", TVectorD( 3, dataerr4 ) ) );
checkVectorMap( errorsmap, expectederrorsmap );
}
BOOST_AUTO_TEST_CASE( testgetTotalErrors ) {
BOOST_MESSAGE( "testgetTotalErrors" );
TVectorD totalerrors= parser.getTotalErrors();
Double_t data[]= { 3.1352830813, 4.6977547828, 5.3999999999 };
TVectorD expectedtotalerrors( 3, data );
checkVector( totalerrors, expectedtotalerrors );
}
BOOST_AUTO_TEST_CASE( testgetCovoption ) {
BOOST_MESSAGE( "testgetCovoption" );
map<string, string> covopts= parser.getCovoption();
map<string, string> expectedcovopts;
expectedcovopts["00stat"]= string( "c" );
expectedcovopts["01err1"]= string( "m" );
expectedcovopts["02err2"]= string( "m" );
expectedcovopts["03err3"]= string( "p" );
expectedcovopts["04err4"]= string( "f" );
checkStringMap( covopts, expectedcovopts );
}
BOOST_AUTO_TEST_CASE( testgetCorrelations ) {
BOOST_MESSAGE( "testgetCorrelations" );
map<string, string > correlations= parser.getCorrelations();
map<string, string > expectedcorrelations;
string tmp= "1. 0. 0. 0. 1. 0. 0. 0. 1.";
expectedcorrelations["00stat"]= tmp;
tmp= "p p p p p p p p p";
expectedcorrelations["01err1"]= tmp;
tmp= "f f f f f f f f f";
expectedcorrelations["02err2"]= tmp;
checkStringMap( correlations, expectedcorrelations );
}
BOOST_AUTO_TEST_CASE( testgetCovariances ) {
BOOST_MESSAGE( "testgetCovariances" );
map<string,TMatrixDSym> covariances= parser.getCovariances();
map<string,TMatrixDSym> expectedCovariances;
double matrixStat[]= { 0.09, 0.0, 0.0,
0.0, 0.1089, 0.0,
0.0, 0.0, 0.16 };
expectedCovariances.insert( map<string,TMatrixDSym>::value_type( "00stat", TMatrixDSym( 3, matrixStat ) ) );
double matrixErr1[]= { 1.21, 1.21, 1.21,
1.21, 1.69, 1.69,
1.21, 1.69, 2.25 };
expectedCovariances.insert( map<string,TMatrixDSym>::value_type( "01err1", TMatrixDSym( 3, matrixErr1 ) ) );
double matrixErr2[]= { 0.81, 1.35, 1.71,
1.35, 2.25, 2.85,
1.71, 2.85, 3.61 };
expectedCovariances.insert( map<string,TMatrixDSym>::value_type( "02err2", TMatrixDSym( 3, matrixErr2 ) ) );
double matrixErr3[]= { 5.76, 5.76, 5.76 ,
5.76, 9.61, 9.61,
5.76, 9.61, 12.25 };
expectedCovariances.insert( map<string,TMatrixDSym>::value_type( "03err3", TMatrixDSym( 3, matrixErr3 ) ) );
double matrixErr4[]= { 1.96, 4.06, 4.62,
4.06, 8.41, 9.57,
4.62, 9.57, 10.89 };
expectedCovariances.insert( map<string,TMatrixDSym>::value_type( "04err4", TMatrixDSym( 3, matrixErr4 ) ) );
checkMatrixMap( covariances, expectedCovariances );
}
BOOST_AUTO_TEST_CASE( testgetSysterrorMatrix ) {
BOOST_MESSAGE( "testgetSysterrorMatrix" );
map<int,TVectorD> systerrmatrix= parser.getSysterrorMatrix();
map<int,TVectorD> expectedSysterrmatrix;
Double_t systerrs2[]= { 0.9, 1.5, 1.9 };
expectedSysterrmatrix.insert( map<int,TVectorD>::value_type( 2, TVectorD( 3, systerrs2 ) ) );
Double_t systerrs4[]= { 1.4, 2.9, 3.3 };
expectedSysterrmatrix.insert( map<int,TVectorD>::value_type( 4, TVectorD( 3, systerrs4 ) ));
BOOST_CHECK_EQUAL( systerrmatrix.size(), expectedSysterrmatrix.size() );
for( map<int,TVectorD>::const_iterator mapitr= systerrmatrix.begin(),
expmapitr= expectedSysterrmatrix.begin();
expmapitr != expectedSysterrmatrix.end(); mapitr++, expmapitr++ ) {
BOOST_CHECK_EQUAL( mapitr->first, expmapitr->first );
checkVector( mapitr->second, expmapitr->second );
}
}
BOOST_AUTO_TEST_CASE( testgetReducedCovariances ) {
BOOST_MESSAGE( "testgetReducedCovariances" );
map<string,TMatrixDSym> covariances= parser.getReducedCovariances();
map<string,TMatrixDSym> expectedCovariances;
double matrixStat[]= { 0.09, 0.0, 0.0,
0.0, 0.1089, 0.0,
0.0, 0.0, 0.16 };
expectedCovariances.insert( map<string,TMatrixDSym>::value_type( "00stat", TMatrixDSym( 3, matrixStat ) ) );
double matrixErr1[]= { 1.21, 1.21, 1.21,
1.21, 1.69, 1.69,
1.21, 1.69, 2.25 };
expectedCovariances.insert( map<string,TMatrixDSym>::value_type( "01err1", TMatrixDSym( 3, matrixErr1 ) ) );
expectedCovariances.insert( map<string,TMatrixDSym>::value_type( "02err2", TMatrixDSym( 3 ) ) );
double matrixErr3[]= { 5.76, 5.76, 5.76 ,
5.76, 9.61, 9.61,
5.76, 9.61, 12.25 };
expectedCovariances.insert( map<string,TMatrixDSym>::value_type( "03err3", TMatrixDSym( 3, matrixErr3 ) ) );
expectedCovariances.insert( map<string,TMatrixDSym>::value_type( "04err4", TMatrixDSym( 3 ) ) );
checkMatrixMap( covariances, expectedCovariances );
}
BOOST_AUTO_TEST_CASE( testgetTotalCovariances ) {
BOOST_MESSAGE( "testgetTotalCovariances" );
TMatrixDSym totalcov= parser.getTotalCovariances();
Double_t data[]= { 9.83, 12.38, 13.3,
12.38, 22.0689, 23.72,
13.3 , 23.72, 29.16 };
TMatrixDSym expectedtc( 3, data );
checkMatrix( totalcov, expectedtc );
}
BOOST_AUTO_TEST_CASE( testgetTotalReducedCovariances ) {
BOOST_MESSAGE( "testgetTotalReducedCovariances" );
TMatrixDSym totalredcov= parser.getTotalReducedCovariances();
Double_t data[]= { 7.06, 6.97, 6.97,
6.97, 11.4089, 11.3,
6.97, 11.3, 14.66 };
TMatrixDSym expectedtrc( 3, data );
checkMatrix( totalredcov, expectedtrc );
}
BOOST_AUTO_TEST_CASE( testprintFilename ) {
BOOST_MESSAGE( "testprintFilename" );
parser.printFilename( osst );
string obtained= osst.str();
string expected= "AverageDataParser: input from test.txt\n";
BOOST_CHECK_EQUAL( obtained, expected );
}
BOOST_AUTO_TEST_CASE( testprintNames ) {
BOOST_MESSAGE( "testprintNames" );
parser.printNames( osst );
string obtained= osst.str();
string expected= " Variables: val1 val2 val3\n";
BOOST_CHECK_EQUAL( obtained, expected );
}
BOOST_AUTO_TEST_CASE( testprintValues ) {
BOOST_MESSAGE( "testprintValues" );
parser.printValues( osst );
string obtained= osst.str();
string expected= " Values: 171.5000 173.1000 174.5000\n";
BOOST_CHECK_EQUAL( obtained, expected );
}
BOOST_AUTO_TEST_CASE( testprintErrors ) {
BOOST_MESSAGE( "testprintErrors" );
parser.printErrors( osst );
string obtained= osst.str();
string expected=
" stat: 0.3000 0.3300 0.4000 c\n"
" err1: 1.1000 1.3000 1.5000 m\n"
" err2: 0.9000 1.5000 1.9000 m\n"
" err3: 2.4000 3.1000 3.5000 p\n"
" err4: 1.4000 2.9000 3.3000 f\n";
BOOST_CHECK_EQUAL( obtained, expected );
}
BOOST_AUTO_TEST_CASE( testprintTotalErrors ) {
BOOST_MESSAGE( "testprintTotalErrors" );
parser.printTotalErrors( osst );
string obtained= osst.str();
string expected= " total: 3.1353 4.6978 5.4000\n";
BOOST_CHECK_EQUAL( obtained, expected );
}
BOOST_AUTO_TEST_CASE( testprintCorrelations ) {
BOOST_MESSAGE( "testprintCorrelations" );
parser.printCorrelations( osst );
string obtained= osst.str();
string expected=
"Correlations:\n\n"
" stat:\n"
" 1.00 0.00 0.00\n"
" 0.00 1.00 0.00\n"
" 0.00 0.00 1.00\n\n"
" err1:\n"
" p p p\n"
" p p p\n"
" p p p\n\n"
" err2:\n"
" f f f\n"
" f f f\n"
" f f f\n";
BOOST_CHECK_EQUAL( obtained, expected );
}
BOOST_AUTO_TEST_CASE( testprintCovariances ) {
BOOST_MESSAGE( "testprintCovariances" );
parser.printCovariances( osst, std::ios::scientific, 3 );
string obtained= osst.str();
string expected=
"Covariances:\n\n"
" stat:\n"
" 9.000e-02 0.000e+00 0.000e+00\n"
" 0.000e+00 1.089e-01 0.000e+00\n"
" 0.000e+00 0.000e+00 1.600e-01\n\n"
" err1:\n"
" 1.210e+00 1.210e+00 1.210e+00\n"
" 1.210e+00 1.690e+00 1.690e+00\n"
" 1.210e+00 1.690e+00 2.250e+00\n\n"
" err2:\n"
" 8.100e-01 1.350e+00 1.710e+00\n"
" 1.350e+00 2.250e+00 2.850e+00\n"
" 1.710e+00 2.850e+00 3.610e+00\n\n"
" err3:\n"
" 5.760e+00 5.760e+00 5.760e+00\n"
" 5.760e+00 9.610e+00 9.610e+00\n"
" 5.760e+00 9.610e+00 1.225e+01\n\n"
" err4:\n"
" 1.960e+00 4.060e+00 4.620e+00\n"
" 4.060e+00 8.410e+00 9.570e+00\n"
" 4.620e+00 9.570e+00 1.089e+01\n";
BOOST_CHECK_EQUAL( obtained, expected );
}
BOOST_AUTO_TEST_CASE( testprintCorrelationMatrices ) {
BOOST_MESSAGE( "testprintCorrelationMatrices" );
parser.printCorrelationMatrices( osst );
string obtained= osst.str();
string expected=
"Correlation matrices:\n\n"
" stat:\n"
" 1.00 0.00 0.00\n"
" 0.00 1.00 0.00\n"
" 0.00 0.00 1.00\n\n"
" err1:\n"
" 1.00 0.85 0.73\n"
" 0.85 1.00 0.87\n"
" 0.73 0.87 1.00\n\n"
" err2:\n"
" 1.00 1.00 1.00\n"
" 1.00 1.00 1.00\n"
" 1.00 1.00 1.00\n\n"
" err3:\n"
" 1.00 0.77 0.69\n"
" 0.77 1.00 0.89\n"
" 0.69 0.89 1.00\n\n"
" err4:\n"
" 1.00 1.00 1.00\n"
" 1.00 1.00 1.00\n"
" 1.00 1.00 1.00\n";
BOOST_CHECK_EQUAL( obtained, expected );
}
BOOST_AUTO_TEST_SUITE_END()
// Fixture for options tests:
class AverageDataParserOptionsFixture {
public:
AverageDataParserOptionsFixture() {
names.push_back( "Val1" );
names.push_back( "Val2" );
names.push_back( "Val3" );
Double_t data[]= { 171.5, 173.1, 174.5 };
values.ResizeTo( 3 );
values.SetElements( data );
}
vector<string> names;
TVectorD values;
map<string,TVectorD> errorsmap;
map<string,string> covopts;
};
BOOST_FIXTURE_TEST_SUITE( averagedataparseroptionssuite,
AverageDataParserOptionsFixture )
BOOST_AUTO_TEST_CASE( testOptionPercentU ) {
BOOST_MESSAGE( "testOptionPercentU" );
Double_t dataerrs[]= { 0.2, 0.22, 0.3 };
TVectorD errors( 3, dataerrs );
errorsmap.insert( map<string,TVectorD>::value_type( "00stat", errors ) );
covopts["00stat"]= "%u";
AverageDataParser myparser( names, values, errorsmap, covopts );
map<string,TVectorD> obtainederrorsmap= myparser.getErrors();
TVectorD obtainederrors= obtainederrorsmap["00stat"];
Double_t datastat[]= { 0.343, 0.38082, 0.5235 };
TVectorD expectederrors( 3, datastat );
checkVector( obtainederrors, expectederrors );
map<string,TMatrixDSym> covariancesmap= myparser.getCovariances();
TMatrixDSym obtainedcovm= covariancesmap["00stat"];
double matrixStat[]= { 0.117649, 0.0, 0.0, 0.0, 0.14502387,
0.0, 0.0, 0.0, 0.27405225 };
TMatrixDSym expectedcovm( 3, matrixStat );
checkMatrix( obtainedcovm, expectedcovm );
}
BOOST_AUTO_TEST_CASE( testOptionGP ) {
BOOST_MESSAGE( "testOptionGP" );
Double_t dataerrs[]= { 0.9, 1.5, 1.9 };
TVectorD errors( 3, dataerrs );
errorsmap.insert( map<string,TVectorD>::value_type( "02errb", errors ) );
covopts["02errb"]= "gp";
AverageDataParser myparser( names, values, errorsmap, covopts );
map<string,TVectorD> obtainederrorsmap= myparser.getErrors();
TVectorD obtainederrors= obtainederrorsmap["02errb"];
checkVector( obtainederrors, errors );
map<string,TMatrixDSym> covariancesmap= myparser.getCovariances();
TMatrixDSym obtainedcovm= covariancesmap["02errb"];
double matrixErrb[]= { 0.81, 0.81, 0.81, 0.81, 2.25, 0.81, 0.81,
0.81, 3.61 };
TMatrixDSym expectedcovm( 3, matrixErrb );
checkMatrix( obtainedcovm, expectedcovm );
map<string,TMatrixDSym> reducedcovariancesmap= myparser.getReducedCovariances();
TMatrixDSym obtainedreducedcovm= reducedcovariancesmap["02errb"];
double matrixErrbRed[]= { 0.0, 0.0, 0.0, 0.0, 1.44, 0.0, 0.0, 0.0, 2.8 };
TMatrixDSym expectedreducedcovm( 3, matrixErrbRed );
checkMatrix( obtainedreducedcovm, expectedreducedcovm );
map<int,TVectorD> systerrmap= myparser.getSysterrorMatrix();
TVectorD systerrs= systerrmap[0];
Double_t data[]= { 0.9, 0.9, 0.9 };
TVectorD expectedSysterrs( 3, data );
checkVector( systerrs, expectedSysterrs );
}
BOOST_AUTO_TEST_CASE( testOptionGPR ) {
BOOST_MESSAGE( "testOptionGPR" );
Double_t dataerrs[]= { 2.4, 3.1, 3.5 };
TVectorD errors( 3, dataerrs );
errorsmap.insert( map<string,TVectorD>::value_type( "03errc", errors ) );
covopts["03errc"]= "gpr";
AverageDataParser myparser( names, values, errorsmap, covopts );
map<string,TVectorD> obtainederrorsmap= myparser.getErrors();
TVectorD obtainederrors= obtainederrorsmap["03errc"];
checkVector( obtainederrors, errors );
map<string,TMatrixDSym> covariancesmap= myparser.getCovariances();
TMatrixDSym obtainedcovm= covariancesmap["03errc"];
double matrixErrc[]= { 5.76, 5.81373761, 5.86075802, 5.81373761, 9.61,
5.91543564, 5.86075802, 5.91543564, 12.25 };
TMatrixDSym expectedcovm( 3, matrixErrc );
checkMatrix( obtainedcovm, expectedcovm );
map<string,TMatrixDSym> reducedcovariancesmap= myparser.getReducedCovariances();
TMatrixDSym obtainedreducedcovm= reducedcovariancesmap["03errc"];
double matrixErrcRed[]= { 0.0, 0.0, 0.0, 0.0, 3.742023, 0.0, 0.0, 0.0, 6.286721 };
TMatrixDSym expectedreducedcovm( 3, matrixErrcRed );
checkMatrix( obtainedreducedcovm, expectedreducedcovm );
map<int,TVectorD> systerrmap= myparser.getSysterrorMatrix();
TVectorD systerrs= systerrmap[0];
Double_t data[]= { 2.4, 2.42239067, 2.4419825 };
TVectorD expectedSysterrs( 3, data );
checkVector( systerrs, expectedSysterrs );
}
BOOST_AUTO_TEST_SUITE_END()
class AverageDataParserGroupFixture {
public:
AverageDataParserGroupFixture() : parser( "valassi1.txt" ) {}
AverageDataParser parser;
};
BOOST_FIXTURE_TEST_SUITE( averagedataparsergroupsuite,
AverageDataParserGroupFixture )
BOOST_AUTO_TEST_CASE( testGetGroups ) {
BOOST_MESSAGE( "testgetGroups" );
vector<string> groups= parser.getGroups();
vector<string> expectedGroups;
expectedGroups.push_back( "a" );
expectedGroups.push_back( "a" );
expectedGroups.push_back( "b" );
expectedGroups.push_back( "b" );
BOOST_CHECK_EQUAL( groups.size(), expectedGroups.size() );
for( size_t i= 0; i < expectedGroups.size(); i++ ) {
BOOST_CHECK_EQUAL( groups[i], expectedGroups[i] );
}
}
BOOST_AUTO_TEST_CASE( testGetUniqueGroups ) {
BOOST_MESSAGE( "testgetUniqueGroups" );
vector<string> groups= parser.getUniqueGroups();
vector<string> expectedGroups;
expectedGroups.push_back( "a" );
expectedGroups.push_back( "b" );
BOOST_CHECK_EQUAL( groups.size(), expectedGroups.size() );
for( size_t i= 0; i < expectedGroups.size(); i++ ) {
BOOST_CHECK_EQUAL( groups[i], expectedGroups[i] );
}
}
BOOST_AUTO_TEST_CASE( testGetGroupMatrix ) {
BOOST_MESSAGE( "testgetGroupMatrix" );
TMatrixD groupmatrix= parser.getGroupMatrix();
Double_t gmdata[]= { 1.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 1.0 };
TMatrixD expectedgm( 4, 2, gmdata );
checkMatrix( groupmatrix, expectedgm );
}
BOOST_AUTO_TEST_SUITE_END()