/usr/include/opengm/unittests/blackboxtests/blackboxtestfull.hxx is in libopengm-dev 2.3.6-2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 | #pragma once
#ifndef OPENGM_TEST_INFERENCE_BLACKBOXTEST_FULL2_HXX
#define OPENGM_TEST_INFERENCE_BLACKBOXTEST_FULL2_HXX
#include <vector>
#include <sstream>
#include <string>
#include <cmath>
#include <opengm/opengm.hxx>
#include <opengm/unittests/test.hxx>
#include <opengm/graphicalmodel/modelgenerators/syntheticmodelgenerator.hxx>
#include <opengm/unittests/blackboxtests/blackboxtestbase.hxx>
/// \cond HIDDEN_SYMBOLS
namespace opengm {
inline double mylog2(const double x) {return std::log(x)/std::log(2.0);}
template<class GM> class BlackBoxTestBase;
template<class GM>
class BlackBoxTestFull : public BlackBoxTestBase<GM>
{
public:
enum BlackBoxFunction
{
RANDOM, POTTS, IPOTTS
};
const size_t numVar_;
const size_t numStates_;
const bool varStates_;
const size_t orders_;
const BlackBoxFunction function_;
const BlackBoxBehaviour behaviour_;
const size_t numTests_;
const size_t modelIdOffset_;
BlackBoxTestFull(const size_t var, const size_t numStates, const bool varStates, const size_t orders, const BlackBoxFunction f, const BlackBoxBehaviour b, const size_t numTests, const size_t modelIdOffset=0);
virtual std::string infoText();
virtual GM getModel(size_t);
virtual size_t numberOfTests();
virtual BlackBoxBehaviour behaviour();
private:
std::string functionString(BlackBoxFunction f);
};
template<class GM>
BlackBoxTestFull<GM>::BlackBoxTestFull(
const size_t numVar, const size_t numStates, const bool varStates, const size_t orders,
const BlackBoxFunction f, const BlackBoxBehaviour b,
const size_t numTests, const size_t modelIdOffset)
: numVar_(numVar), numStates_(numStates), varStates_(varStates), orders_(orders),
function_(f), behaviour_(b),
numTests_(numTests), modelIdOffset_(modelIdOffset)
{
}
template<class GM>
size_t BlackBoxTestFull<GM>::numberOfTests()
{
return numTests_;
}
template<class GM>
BlackBoxBehaviour BlackBoxTestFull<GM>::behaviour()
{
return behaviour_;
}
template<class GM>
std::string BlackBoxTestFull<GM>::infoText()
{
size_t order = (size_t) mylog2((double) (orders_)) + 1;
std::string s = varStates_ ? "<" : "";
std::string u = orders_ % 2 == 1 ? " with unary " : " without unary ";
std::stringstream oss;
oss << " - "<< order << "nd order full model with " << s << numVar_ << " variables ";
oss << "and "<< s << numStates_ << " states ";
oss << "(functionType = " << functionString(function_) << u << ")";
return oss.str();
}
template<class GM>
GM BlackBoxTestFull<GM>::getModel(size_t id)
{
typedef opengm::SyntheticModelGenerator2<GM> ModelGeneratorType;
ModelGeneratorType modelGenerator;
typename ModelGeneratorType::Parameter modelGeneratorPara;
size_t tester = 1;
size_t order = (size_t) mylog2((double) (orders_)) + 1;
for(size_t i = 0; i < order; ++i) {
if((orders_ / tester) % 2 == 0) {
modelGeneratorPara.functionTypes_[i] = ModelGeneratorType::EMPTY;
}else{
if(i == 0) {
modelGeneratorPara.functionTypes_[i] = ModelGeneratorType::URANDOM;
modelGeneratorPara.functionParameters_[i].resize(2);
modelGeneratorPara.functionParameters_[i][0] = 1;
modelGeneratorPara.functionParameters_[i][1] = 2;
}else{
switch (function_) {
case RANDOM:
modelGeneratorPara.functionTypes_[i] = ModelGeneratorType::URANDOM;
modelGeneratorPara.functionParameters_[i].resize(2);
modelGeneratorPara.functionParameters_[i][0] = 1;
modelGeneratorPara.functionParameters_[i][1] = 2;
break;
case POTTS:
modelGeneratorPara.functionTypes_[i] = ModelGeneratorType::GPOTTS;
modelGeneratorPara.functionParameters_[i].resize(1);
modelGeneratorPara.functionParameters_[i][0] = numVar_;
modelGeneratorPara.functionParameters_[i][0] = numVar_;
break;
case IPOTTS:
modelGeneratorPara.functionTypes_[i] = ModelGeneratorType::GPOTTS;
modelGeneratorPara.functionParameters_[i].resize(1);
modelGeneratorPara.functionParameters_[i][0] = -numVar_;
modelGeneratorPara.functionParameters_[i][0] = -numVar_;
break;
}
}
}
tester *= 2;
}
modelGeneratorPara.randomNumberOfStates_ = varStates_;
return modelGenerator.buildFull(id + modelIdOffset_, numVar_, numStates_, modelGeneratorPara);
}
template<class GM>
std::string BlackBoxTestFull<GM>::functionString(BlackBoxFunction f)
{
switch (f) {
case RANDOM:
return "random";
case POTTS:
return "potts";
case IPOTTS:
return "negative potts";
default:
return "";
};
return "";
}
} // namespace opengm
/// \endcond
#endif // #ifndef OPENGM_TEST_INFERENCE_BLACKBOXTEST_FULL2_HXX
|