VariableVector vector_of_zeros(const vector<string>& var_names) {
VariableVector zeros;
for (vector<string>::const_iterator name = var_names.begin(); name != var_names.end(); ++name) {
zeros.insert(make_pair(*name, 0));
}
return zeros;
}
XMLSerializer* ResultSet::toHtmlTable (XMLSerializer* xml, const char* tableClass) {
if (xml == NULL) xml = new XMLSerializer(" ");
xml->open("table");
if (tableClass != NULL)
xml->attribute("class", "results");
{
const VariableVector cols = getOrderedVars();
xml->open("tr"); {
for (VariableVector::const_iterator col = cols.begin();
col != cols.end(); ++col)
xml->leaf("th", (*col)->toString());
} xml->close();
for (ResultSetConstIterator row = begin(); row != end(); ++row) {
xml->open("tr"); {
for (VariableVector::const_iterator col = cols.begin();
col != cols.end(); ++col) {
const POS* val = (*row)->get(*col);
if (val != NULL)
xml->leaf("td", val->toString());
else
xml->leaf("td", "");
}
} xml->close();
}
} xml->close();
return xml;
}
VariableVector scale_variable_vector(const VariableVector& vec, double scaling_factor) {
VariableVector scaled;
for (VariableVector::const_iterator it = vec.begin(); it != vec.end(); ++it) {
scaled.insert(make_pair(it->first, it->second * scaling_factor));
}
return scaled;
}
VariableVector add_variable_vectors(const VariableVector& vec1, const VariableVector& vec2) {
VariableVector empty;
VariableVector sum;
string var_name;
double component_sum;
// if the vectors are of different sizes, return empty
if (vec1.size() != vec2.size()) return empty;
for (VariableVector::const_iterator it1 = vec1.begin(); it1 != vec1.end(); ++it1) {
var_name = it1->first;
// if this variable is in both vectors, add the values
if (vec2.count(var_name) != 0) {
component_sum = it1->second + vec2.at(var_name);
sum.insert(make_pair(var_name, component_sum));
}
// if this variable is only in vec1, return empty
else {
return empty;
}
}
// if we reach this point, every variable in vec1 is also in vec2
// since both vectors are of the same size, it is safe to return
return sum;
}
VariableVector increment_weight_vector(const VariableVector& weights, const VariableVector& scaled_gradient) {
VariableVector empty;
if (weights.size() != scaled_gradient.size()) {
return empty;
}
VariableVector incremented;
string partial_name, weight_name;
double scaled_partial, weight_val;
for (VariableVector::const_iterator it = scaled_gradient.begin(); it != scaled_gradient.end(); ++it) {
partial_name = it->first;
scaled_partial = it->second;
weight_name = partial_name_to_weight_name(partial_name);
if (weights.count(weight_name) == 0) {
return empty;
}
weight_val = weights.at(weight_name);
incremented.insert(make_pair(weight_name, weight_val + scaled_partial));
}
return incremented;
}
VariableVector component_wise_div(const VariableVector& vec, double divisor) {
VariableVector quotient;
if (divisor == 0) {
cerr << "Cannot divide by 0." << endl;
return quotient;
}
for (VariableVector::const_iterator it = vec.begin(); it != vec.end(); ++it) {
quotient.insert(make_pair(it->first, it->second / divisor));
}
return quotient;
}
VariableVector avg_gradient(const string& gcp_filename, const vector<string>& partial_names, const VariableVector& weights, const vector<pair<VariableVector, VariableVector> >& training_data) {
VariableVector empty;
// check for trivial errors
if (partial_names.size() != weights.size()) return empty;
// initialize the sum_of_partials_vector
VariableVector sum_of_partials = vector_of_zeros(partial_names);
VariableVector *partials;
int find_partials_success = 0;
for (vector<pair<VariableVector, VariableVector> >::const_iterator datum = training_data.begin(); datum != training_data.end(); ++datum) {
partials = new VariableVector();
VariableVector inputs = datum->first;
VariableVector outputs = datum->second;
find_partials_success = find_partials(gcp_filename, partials, weights, inputs, outputs);
if (find_partials_success != 0) return empty;
sum_of_partials = add_variable_vectors(sum_of_partials, *partials);
if (sum_of_partials.size() == 0) return empty;
delete partials;
}
return component_wise_div(sum_of_partials, training_data.size());
}
VariableVector calculate_weights(const string& gcp_filename, const vector<string>& weight_names,
const vector<string>& partial_names, const vector<pair<VariableVector, VariableVector> >& training_data) {
VariableVector weights = initial_weight_guess(weight_names);
VariableVector gradient = avg_gradient(gcp_filename, partial_names, weights, training_data);
int num_iterations = 0;
cout << "Calculating weights for GCP " << gcp_filename << "..." << endl;
while (!approx_zero(gradient, partial_names) && num_iterations < MAX_NUM_ITERATIONS) {
weights = increment_weight_vector(weights, scale_variable_vector(gradient, -1 * LEARNING_RATE));
gradient = avg_gradient(gcp_filename, partial_names, weights, training_data);
num_iterations++;
if (gradient.size() == 0) break;
}
return weights;
}
double distance_between_variable_vectors(const VariableVector& vec1, const VariableVector& vec2) {
// Both vectors must have the same dimension
if (vec1.size() != vec2.size()) {
return -1;
}
double square_distance = 0;
string var_name;
double val1, val2;
for (VariableVector::const_iterator it = vec1.begin(); it != vec1.end(); ++it) {
var_name = it->first;
// Both vectors must have exactly the same variables
if (vec2.count(var_name) == 0) {
return -1;
}
val1 = vec1.at(var_name);
val2 = vec2.at(var_name);
square_distance += pow((val1 - val2), 2);
}
return pow(square_distance, 0.5);
}
XMLSerializer* ResultSet::toXml (XMLSerializer* xml) {
if (xml == NULL) xml = new XMLSerializer(" ");
xml->open("sparql");
xml->attribute("xmlns", "http://www.w3.org/2005/sparql-results#");
xml->open("head");
const VariableVector cols = getOrderedVars();
for (VariableVectorConstIterator varIt = cols.begin() ; varIt != cols.end(); ++varIt) {
xml->empty("variable");
xml->attribute("name", (*varIt)->getLexicalValue());
}
xml->close();
xml->open("results");
for (ResultSetIterator it = begin() ; it != end(); it++)
(*it)->toXml(xml);
xml->close();
xml->close();
return xml;
}
bool operator() (const Result* lhs, const Result* rhs) {
for (VariableVectorConstIterator it = vars.begin();
it != vars.end(); ++it) {
// SPARQLSerializer s;
// pair.expression->express(&s);
const POS* l = lhs->get(*it);
const POS* r = rhs->get(*it);
if (r == NULL) {
if (l == NULL)
continue;
else
return false;
}
if (l == NULL)
return true;
if (dynamic_cast<const Bindable*>(l) &&
dynamic_cast<const Bindable*>(r))
continue;
if (l != r)
return posFactory->lessThan(l, r);
}
return false;
}
bool approx_zero(const VariableVector& vec, const vector<string>& partial_names) {
if (vec.size() != partial_names.size()) {
return false;
}
VariableVector zeros = vector_of_zeros(partial_names);
double pyth_dist = distance_between_variable_vectors(vec, zeros);
if (pyth_dist == -1) {
return false;
}
return (pyth_dist <= GRADIENT_PRECISION);
}
const VariableVector variable_vector_union(const VariableVector& vec1, const VariableVector& vec2) {
VariableVector empty;
VariableVector v;
// add all the variables in Vec 1 first
// if any of these variables are seen in Vec 2, this is an error. Return the empty Variable Vector.
// if there is no overlap, then it is safe to add all the variables in Vec 2
for (VariableVector::const_iterator it1 = vec1.begin(); it1 != vec1.end(); ++it1) {
if (vec2.count(it1->first) != 0) {
return empty;
}
v.insert(make_pair(it1->first, it1->second));
}
for (VariableVector::const_iterator it2 = vec2.begin(); it2 != vec2.end(); ++it2) {
v.insert(make_pair(it2->first, it2->second));
}
return v;
}
std::string ResultSet::toString (NamespaceMap* namespaces) const {
std::stringstream s;
if (resultType == RESULT_Boolean)
return size() > 0 ? "true\n" : "false\n" ;
else if (resultType == RESULT_Graphs)
return std::string("<RdfDB result>\n") + db->toString() + "\n</RdfDB result>";
/* Get column widths and fill namespace declarations. */
std::vector< const POS* > vars;
std::vector< size_t > widths;
unsigned count = 0;
unsigned lastInKnownVars = 0;
{
std::map< const POS*, unsigned > pos2col;
const VariableVector cols = getOrderedVars();
// vars = getOrderedVars();
for (VariableVectorConstIterator varIt = cols.begin() ; varIt != cols.end(); ++varIt) {
const POS* var = *varIt;
pos2col[var] = count++;
widths.push_back(var->toString().size());
vars.push_back(var);
}
VariableList intruders;
lastInKnownVars = count;
for (ResultSetConstIterator row = results.begin() ; row != results.end(); ++row)
for (BindingSetIterator b = (*row)->begin(); b != (*row)->end(); ++b) {
const POS* var = b->first;
if (pos2col.find(var) == pos2col.end()) {
/* Error: a variable not listed in knownVars. */
pos2col[var] = count++;
std::string rendered(render(var, namespaces));
widths.push_back(rendered.size());
vars.push_back(var);
intruders.insert(var);
}
std::string rendered(render(b->second.pos, namespaces));
size_t width = rendered.size();
if (width > widths[pos2col[var]])
widths[pos2col[var]] = width;
}
}
/* Generate ResultSet string. */
/* Top Border */
unsigned i;
for (i = 0; i < count; i++) {
s << (i == 0 ? (ordered == true ? BoxChars::GBoxChars->ordered : BoxChars::GBoxChars->ul) : BoxChars::GBoxChars->us);
s << STRING(widths[i]+2, BoxChars::GBoxChars->ub);
}
s << BoxChars::GBoxChars->ur << std::endl;
/* Column Headings */
for (i = 0; i < count; i++) {
const POS* var = vars[i];
s << (i == 0 ? BoxChars::GBoxChars->rl : i < lastInKnownVars ? BoxChars::GBoxChars->rs : BoxChars::GBoxChars->unlistedVar) << ' ';
size_t width = var->toString().length();
s << var->toString() << STRING(widths[i] - width, BoxChars::GBoxChars->rb) << ' '; // left justified.
}
s << BoxChars::GBoxChars->rr << std::endl;
/* Rows */
for (ResultSetConstIterator row = results.begin() ; row != results.end(); row++) {
#if (INTRA_ROW_SEPARATORS)
/* Intra-row Border */
for (i = 0; i < count; i++) {
s << (i == 0 ? BoxChars::GBoxChars->sl : BoxChars::GBoxChars->ss);
s << std::string(widths[i]+2, BoxChars::GBoxChars->sb);
}
s << BoxChars::GBoxChars->sr << std::endl;
#endif
/* Values */
for (i = 0; i < count; ++i) {
const POS* var = vars[i];
const POS* val = (*row)->get(var);
const std::string str = render(val, namespaces);
s << (i == 0 ? BoxChars::GBoxChars->rl : BoxChars::GBoxChars->rs) << ' ';
size_t width = str.length();
s << STRING(widths[i] - width, BoxChars::GBoxChars->rb) << str << ' '; // right justified.
}
s << BoxChars::GBoxChars->rr << std::endl;
}
/* Bottom Border */
for (i = 0; i < count; i++) {
s << (i == 0 ? BoxChars::GBoxChars->ll : BoxChars::GBoxChars->ls);
s << STRING(widths[i]+2, BoxChars::GBoxChars->lb);
}
s << BoxChars::GBoxChars->lr << std::endl;
return s.str();
}
TEST_F(ProjectFixture, RubyMeasureRecord_RubyScript) {
// Measures
MeasureVector measures;
// Null Measure
measures.push_back(NullMeasure());
openstudio::path rubyLibDirPath = openstudio::toPath(rubyLibDir());
openstudio::path perturbScript = rubyLibDirPath/openstudio::toPath("openstudio/runmanager/rubyscripts/PerturbObject.rb");
RubyMeasure rubyMeasure(perturbScript,
FileReferenceType::OSM,
FileReferenceType::OSM);
rubyMeasure.addArgument("inputPath", "in.osm");
rubyMeasure.addArgument("outputPath", "out.osm");
rubyMeasure.addArgument("objectType", "OS:Material");
rubyMeasure.addArgument("nameRegex", "I02 50mm insulation board");
rubyMeasure.addArgument("field", "3");
rubyMeasure.addArgument("value", "0.10");
// RubyMeasure
measures.push_back(rubyMeasure);
// Variables
VariableVector variables;
variables.push_back(MeasureGroup("Wall Construction",measures));
// Workflow
openstudio::runmanager::Workflow workflow;
// Problem
Problem problem("Variable",variables,workflow);
// Save to database
{
ProjectDatabase database = getCleanDatabase("RubyMeasureRecord_RubyScript");
bool didStartTransaction = database.startTransaction();
EXPECT_TRUE(didStartTransaction);
// Problem Record
ProblemRecord problemRecord = ProblemRecord::factoryFromProblem(problem,database);
database.save();
if (didStartTransaction) {
EXPECT_TRUE(database.commitTransaction());
}
// Variable Records
InputVariableRecordVector measureGroupRecords = problemRecord.inputVariableRecords();
EXPECT_EQ(1u,measureGroupRecords.size());
// Discrete Variable Record
MeasureGroupRecord measureGroupRecord = measureGroupRecords.at(0).cast<MeasureGroupRecord>();
EXPECT_EQ(2u,measureGroupRecord.measureRecordIds(true).size());
EXPECT_EQ(2u,measureGroupRecord.measureRecords(true).size());
RubyMeasureRecord rubyMeasureRecord(rubyMeasure,measureGroupRecord,0);
EXPECT_EQ("MeasureRecords",rubyMeasureRecord.databaseTableName());
ObjectRecordVector objectRecordVector = rubyMeasureRecord.children();
EXPECT_EQ(6u,objectRecordVector.size()); // arguments
objectRecordVector = rubyMeasureRecord.resources();
EXPECT_EQ(1u,objectRecordVector.size()); // script
FileReferenceRecord scriptRecord = rubyMeasureRecord.fileReferenceRecord();
EXPECT_EQ("FileReferenceRecords",scriptRecord.databaseTableName());
Measure measure = rubyMeasureRecord.measure();
EXPECT_EQ(true,measure.isSelected());
ASSERT_TRUE(measure.optionalCast<RubyMeasure>());
RubyMeasure rubyMeasureCopy = measure.cast<RubyMeasure>();
EXPECT_FALSE(rubyMeasureCopy.usesBCLMeasure());
EXPECT_FALSE(rubyMeasureCopy.isUserScript());
EXPECT_EQ(6u,rubyMeasureCopy.arguments().size());
MeasureGroupRecord measureGroupRecordFromRuby = rubyMeasureRecord.measureGroupRecord().get();
EXPECT_EQ(measureGroupRecord.databaseTableName(),measureGroupRecordFromRuby.databaseTableName());
EXPECT_EQ(measureGroupRecord.id(),measureGroupRecordFromRuby.id());
}
// Reopen database
{
ProjectDatabase database = getExistingDatabase("RubyMeasureRecord_RubyScript");
ProblemRecordVector problemRecords = ProblemRecord::getProblemRecords(database);
ASSERT_FALSE(problemRecords.empty());
EXPECT_EQ(1u,problemRecords.size());
ProblemRecord problemRecord = problemRecords[0];
// COPY-PASTED FROM ABOVE
// Variable Records
InputVariableRecordVector measureGroupRecords = problemRecord.inputVariableRecords();
EXPECT_EQ(1u,measureGroupRecords.size());
// Discrete Variable Record
MeasureGroupRecord measureGroupRecord = measureGroupRecords.at(0).cast<MeasureGroupRecord>();
EXPECT_EQ(2u,measureGroupRecord.measureRecordIds(true).size());
EXPECT_EQ(2u,measureGroupRecord.measureRecords(true).size());
RubyMeasureRecord rubyMeasureRecord(rubyMeasure,measureGroupRecord,0);
EXPECT_EQ("MeasureRecords",rubyMeasureRecord.databaseTableName());
ObjectRecordVector objectRecordVector = rubyMeasureRecord.children();
EXPECT_EQ(6u,objectRecordVector.size()); // arguments
objectRecordVector = rubyMeasureRecord.resources();
EXPECT_EQ(1u,objectRecordVector.size()); // script
FileReferenceRecord scriptRecord = rubyMeasureRecord.fileReferenceRecord();
EXPECT_EQ("FileReferenceRecords",scriptRecord.databaseTableName());
Measure measure = rubyMeasureRecord.measure();
EXPECT_EQ(true,measure.isSelected());
ASSERT_TRUE(measure.optionalCast<RubyMeasure>());
RubyMeasure rubyMeasureCopy = measure.cast<RubyMeasure>();
EXPECT_FALSE(rubyMeasureCopy.usesBCLMeasure());
EXPECT_FALSE(rubyMeasureCopy.isUserScript());
EXPECT_EQ(6u,rubyMeasureCopy.arguments().size());
MeasureGroupRecord measureGroupRecordFromRuby = rubyMeasureRecord.measureGroupRecord().get();
EXPECT_EQ(measureGroupRecord.databaseTableName(),measureGroupRecordFromRuby.databaseTableName());
EXPECT_EQ(measureGroupRecord.id(),measureGroupRecordFromRuby.id());
}
}
TEST_F(AnalysisFixture, DDACEAlgorithmOptions) {
// problem with three variables
VariableVector variables;
BCLMeasure bclMeasure(resourcesPath() / toPath("utilities/BCL/Measures/v2/SetWindowToWallRatioByFacade"));
RubyMeasure measure(bclMeasure);
variables.push_back(RubyContinuousVariable("Var 1",OSArgument::makeDoubleArgument("wwr1"),measure));
variables.push_back(RubyContinuousVariable("Var 2",OSArgument::makeDoubleArgument("wwr2"),measure));
variables.push_back(RubyContinuousVariable("Var 3",OSArgument::makeDoubleArgument("wwr3"),measure));
Problem problem("Null Problem",variables,runmanager::Workflow());
DDACEAlgorithmOptions options(DDACEAlgorithmType::grid);
EXPECT_EQ(DDACEAlgorithmType(DDACEAlgorithmType::grid),options.algorithmType());
EXPECT_FALSE(options.samples());
options.setSamplesForGrid(2,problem);
ASSERT_TRUE(options.samples());
EXPECT_EQ(8,options.samples().get());
options.setSamplesForGrid(5,problem);
ASSERT_TRUE(options.samples());
EXPECT_EQ(125,options.samples().get());
DDACEAlgorithmOptions optionsClone = options.clone().cast<DDACEAlgorithmOptions>();
// all Attributes should be equivalent but have different UUIDs
AttributeVector attributes = options.options();
AttributeVector attributeClones = optionsClone.options();
ASSERT_EQ(attributes.size(),attributeClones.size());
for (unsigned i = 0, n = attributes.size(); i < n; ++i) {
EXPECT_TRUE(attributes[i] == attributeClones[i]);
EXPECT_FALSE(attributes[i].uuid() == attributeClones[i].uuid());
EXPECT_FALSE(attributes[i].versionUUID() == attributeClones[i].versionUUID());
}
options = DDACEAlgorithmOptions(DDACEAlgorithmType::lhs);
options.setSeed(891678);
options.setSamples(62);
ASSERT_TRUE(options.seed());
EXPECT_EQ(891678,options.seed().get());
ASSERT_TRUE(options.samples());
EXPECT_EQ(62,options.samples().get());
EXPECT_FALSE(options.symbols());
options.setSeed(1);
ASSERT_TRUE(options.seed());
EXPECT_EQ(1,options.seed().get());
options.clearSeed();
EXPECT_FALSE(options.seed());
options = DDACEAlgorithmOptions(DDACEAlgorithmType::oas);
options.setSamplesAndSymbolsForOrthogonalArray(13,1);
EXPECT_TRUE(options.seed()); // default is to generate a fixed seed
ASSERT_TRUE(options.symbols());
EXPECT_EQ(13,options.symbols().get());
ASSERT_TRUE(options.samples());
EXPECT_EQ(169,options.samples().get());
optionsClone = options.clone().cast<DDACEAlgorithmOptions>();
// all Attributes should be equivalent but have different UUIDs
attributes = options.options();
attributeClones = optionsClone.options();
ASSERT_EQ(attributes.size(),attributeClones.size());
for (unsigned i = 0, n = attributes.size(); i < n; ++i) {
EXPECT_TRUE(attributes[i] == attributeClones[i]);
EXPECT_FALSE(attributes[i].uuid() == attributeClones[i].uuid());
EXPECT_FALSE(attributes[i].versionUUID() == attributeClones[i].versionUUID());
}
options.clearSymbols();
EXPECT_FALSE(options.symbols());
EXPECT_TRUE(options.samples());
options.clearSamples();
EXPECT_FALSE(options.samples());
int n = DDACEAlgorithmOptions::samplesForCentralComposite(problem);
EXPECT_EQ(15,n);
n = DDACEAlgorithmOptions::samplesForBoxBehnken(problem);
EXPECT_EQ(13,n);
}
TEST_F(AnalysisFixture,DDACEAlgorithm_CompatibleProblemType) {
// continuous problem with five variables
VariableVector variables;
BCLMeasure bclMeasure(resourcesPath() / toPath("utilities/BCL/Measures/v2/SetWindowToWallRatioByFacade"));
RubyMeasure measure(bclMeasure);
variables.push_back(RubyContinuousVariable("Var 1",OSArgument::makeDoubleArgument("wwr1"),measure));
variables.push_back(RubyContinuousVariable("Var 2",OSArgument::makeDoubleArgument("wwr2"),measure));
variables.push_back(RubyContinuousVariable("Var 3",OSArgument::makeDoubleArgument("wwr3"),measure));
variables.push_back(RubyContinuousVariable("Var 4",OSArgument::makeDoubleArgument("wwr4"),measure));
variables.push_back(RubyContinuousVariable("Var 5",OSArgument::makeDoubleArgument("wwr5"),measure));
Problem cProblem("Continuous Problem",variables,runmanager::Workflow());
EXPECT_EQ(5,cProblem.numVariables());
EXPECT_EQ(5,cProblem.numContinuousVariables());
variables.clear();
// mixed problem with three variables, ignorable discrete variable
MeasureVector measures;
variables.push_back(RubyContinuousVariable("Var 1",OSArgument::makeDoubleArgument("wwr1"),measure));
measures.push_back(RubyMeasure(toPath("script.rb"),FileReferenceType::OSM,FileReferenceType::OSM));
variables.push_back(MeasureGroup("Var 2",measures));
measures.clear();
variables.push_back(RubyContinuousVariable("Var 3",OSArgument::makeDoubleArgument("wwr3"),measure));
Problem mProblem("Mixed Problem",variables,runmanager::Workflow());
EXPECT_EQ(3,mProblem.numVariables());
EXPECT_EQ(2,mProblem.numContinuousVariables());
EXPECT_EQ(1,mProblem.numDiscreteVariables());
EXPECT_EQ(1,mProblem.numStaticTransformations());
variables.clear();
// discrete problem
measures.push_back(NullMeasure());
measures.push_back(RubyMeasure(toPath("script1.rb"),FileReferenceType::OSM,FileReferenceType::OSM));
measures.back().cast<RubyMeasure>().addArgument("wwr","0.2");
measures.push_back(RubyMeasure(toPath("script1.rb"),FileReferenceType::OSM,FileReferenceType::OSM));
measures.back().cast<RubyMeasure>().addArgument("wwr","0.4");
variables.push_back(MeasureGroup("Var 1",measures));
measures.clear();
measures.push_back(NullMeasure());
measures.push_back(RubyMeasure(toPath("script2.rb"),FileReferenceType::OSM,FileReferenceType::OSM));
measures.back().cast<RubyMeasure>().addArgument("cop","3.0");
measures.back().cast<RubyMeasure>().addArgument("fan_eff","0.3");
measures.push_back(RubyMeasure(toPath("script2.rb"),FileReferenceType::OSM,FileReferenceType::OSM));
measures.back().cast<RubyMeasure>().addArgument("cop","3.5");
measures.back().cast<RubyMeasure>().addArgument("fan_eff","0.3");
measures.push_back(RubyMeasure(toPath("script2.rb"),FileReferenceType::OSM,FileReferenceType::OSM));
measures.back().cast<RubyMeasure>().addArgument("cop","3.0");
measures.back().cast<RubyMeasure>().addArgument("fan_eff","0.5");
measures.push_back(RubyMeasure(toPath("script2.rb"),FileReferenceType::OSM,FileReferenceType::OSM));
measures.back().cast<RubyMeasure>().addArgument("cop","3.5");
measures.back().cast<RubyMeasure>().addArgument("fan_eff","0.5");
variables.push_back(MeasureGroup("Var 2",measures));
measures.clear();
Problem dProblem("Discrete Problem",variables,runmanager::Workflow());
EXPECT_EQ(2,dProblem.numVariables());
EXPECT_EQ(2,dProblem.numDiscreteVariables());
EXPECT_EQ(0,dProblem.numStaticTransformations());
variables.clear();
// box-behnken
DDACEAlgorithmOptions options(DDACEAlgorithmType::box_behnken);
DDACEAlgorithm algorithm(options);
EXPECT_TRUE(algorithm.isCompatibleProblemType(cProblem));
EXPECT_TRUE(algorithm.isCompatibleProblemType(mProblem));
EXPECT_FALSE(algorithm.isCompatibleProblemType(dProblem));
options.setSamples(DDACEAlgorithmOptions::samplesForBoxBehnken(cProblem));
ASSERT_TRUE(algorithm.ddaceAlgorithmOptions().samples());
EXPECT_EQ(81,algorithm.ddaceAlgorithmOptions().samples().get());
EXPECT_EQ(5,DDACEAlgorithmOptions::samplesForBoxBehnken(mProblem));
EXPECT_EQ(0,DDACEAlgorithmOptions::samplesForBoxBehnken(dProblem));
// central-composite
options = DDACEAlgorithmOptions(DDACEAlgorithmType::central_composite);
algorithm = DDACEAlgorithm(options);
EXPECT_TRUE(algorithm.isCompatibleProblemType(cProblem));
EXPECT_TRUE(algorithm.isCompatibleProblemType(mProblem));
EXPECT_FALSE(algorithm.isCompatibleProblemType(dProblem));
options.setSamples(DDACEAlgorithmOptions::samplesForCentralComposite(cProblem));
ASSERT_TRUE(algorithm.ddaceAlgorithmOptions().samples());
EXPECT_EQ(43,algorithm.ddaceAlgorithmOptions().samples().get());
EXPECT_EQ(9,DDACEAlgorithmOptions::samplesForCentralComposite(mProblem));
EXPECT_EQ(0,DDACEAlgorithmOptions::samplesForCentralComposite(dProblem));
// grid
options = DDACEAlgorithmOptions(DDACEAlgorithmType::grid);
algorithm = DDACEAlgorithm(options);
EXPECT_TRUE(algorithm.isCompatibleProblemType(cProblem));
EXPECT_TRUE(algorithm.isCompatibleProblemType(mProblem));
EXPECT_FALSE(algorithm.isCompatibleProblemType(dProblem));
EXPECT_TRUE(options.setSamplesForGrid(3,cProblem));
ASSERT_TRUE(algorithm.ddaceAlgorithmOptions().symbols());
ASSERT_TRUE(algorithm.ddaceAlgorithmOptions().samples());
EXPECT_EQ(3,algorithm.ddaceAlgorithmOptions().symbols().get());
EXPECT_EQ(243,algorithm.ddaceAlgorithmOptions().samples().get());
EXPECT_TRUE(algorithm.ddaceAlgorithmOptions().setSamplesForGrid(5,mProblem));
ASSERT_TRUE(algorithm.ddaceAlgorithmOptions().symbols());
ASSERT_TRUE(algorithm.ddaceAlgorithmOptions().samples());
EXPECT_EQ(5,algorithm.ddaceAlgorithmOptions().symbols().get());
EXPECT_EQ(25,algorithm.ddaceAlgorithmOptions().samples().get());
EXPECT_FALSE(options.setSamplesForGrid(2,dProblem));
// lhs
options = DDACEAlgorithmOptions(DDACEAlgorithmType::lhs);
algorithm = DDACEAlgorithm(options);
EXPECT_TRUE(algorithm.isCompatibleProblemType(cProblem));
EXPECT_TRUE(algorithm.isCompatibleProblemType(mProblem));
EXPECT_TRUE(algorithm.isCompatibleProblemType(dProblem));
// oa_lhs
options = DDACEAlgorithmOptions(DDACEAlgorithmType::oa_lhs);
algorithm = DDACEAlgorithm(options);
EXPECT_TRUE(algorithm.isCompatibleProblemType(cProblem));
EXPECT_TRUE(algorithm.isCompatibleProblemType(mProblem));
EXPECT_TRUE(algorithm.isCompatibleProblemType(dProblem));
// oas
options = DDACEAlgorithmOptions(DDACEAlgorithmType::oas);
algorithm = DDACEAlgorithm(options);
EXPECT_TRUE(algorithm.isCompatibleProblemType(cProblem));
EXPECT_TRUE(algorithm.isCompatibleProblemType(mProblem));
EXPECT_TRUE(algorithm.isCompatibleProblemType(dProblem));
// random
options = DDACEAlgorithmOptions(DDACEAlgorithmType::random);
algorithm = DDACEAlgorithm(options);
EXPECT_TRUE(algorithm.isCompatibleProblemType(cProblem));
EXPECT_TRUE(algorithm.isCompatibleProblemType(mProblem));
EXPECT_TRUE(algorithm.isCompatibleProblemType(dProblem));
}
TEST_F(ProjectFixture, ProblemRecord)
{
//Logger::instance().logLevel(Debug);
openstudio::path rubyLibDirPath = openstudio::toPath(rubyLibDir());
openstudio::path perturbScript = rubyLibDirPath/openstudio::toPath("openstudio/runmanager/rubyscripts/PerturbObject.rb");
// Workflow
Workflow workflow;
// Variables
VariableVector variables;
// Measures
MeasureVector perturbations1;
MeasureVector perturbations2;
// Discrete Variable Records
InputVariableRecordVector measureGroupRecords;
{
// Problem
Problem problem("0 Variables",variables,workflow);
// Project Database
ProjectDatabase database = getCleanDatabase("ProblemRecord");
// Problem Record
ProblemRecord problemRecord = ProblemRecord::factoryFromProblem(problem,database);
InputVariableRecordVector measureGroupRecords = problemRecord.inputVariableRecords();
EXPECT_EQ(0u,measureGroupRecords.size());
}
{
perturbations1.push_back(NullMeasure());
variables.push_back(analysis::MeasureGroup("",perturbations1));
// Problem
Problem problem("perturbations1",variables,workflow);
// Project Database
ProjectDatabase database = getCleanDatabase("ProblemRecord");
// Problem Record
ProblemRecord problemRecord = ProblemRecord::factoryFromProblem(problem,database);
measureGroupRecords = problemRecord.inputVariableRecords();
EXPECT_EQ(1u,measureGroupRecords.size());
// Discrete Variable Record
MeasureGroupRecord measureGroupRecord = measureGroupRecords.at(0).cast<MeasureGroupRecord>();
EXPECT_EQ(1u,measureGroupRecord.measureRecordIds(true).size());
EXPECT_EQ(1u,measureGroupRecord.measureRecords(true).size());
}
{
variables.push_back(MeasureGroup("Wall Construction",perturbations1));
// Problem
Problem problem("perturbations1",variables,workflow);
// Project Database
ProjectDatabase database = getCleanDatabase("ProblemRecord");
// Problem Record
ProblemRecord problemRecord = ProblemRecord::factoryFromProblem(problem,database);
measureGroupRecords = problemRecord.inputVariableRecords();
EXPECT_EQ(2u,measureGroupRecords.size());
// Discrete Variable Record
MeasureGroupRecord variable1 = measureGroupRecords.at(0).cast<MeasureGroupRecord>();
EXPECT_EQ(static_cast<unsigned>(1), variable1.measureRecords(true).size());
EXPECT_EQ(static_cast<unsigned>(1), variable1.measureRecords(false).size());
EXPECT_EQ(static_cast<unsigned>(2), problemRecord.inputVariableRecords().size());
}
{
perturbations2.push_back(NullMeasure());
variables.push_back(MeasureGroup("Roof Construction",perturbations2));
// Problem
Problem problem("perturbations2",variables,workflow);
// Project Database
ProjectDatabase database = getCleanDatabase("ProblemRecord");
// Problem Record
ProblemRecord problemRecord = ProblemRecord::factoryFromProblem(problem,database);
measureGroupRecords = problemRecord.inputVariableRecords();
EXPECT_EQ(3u,measureGroupRecords.size());
// Discrete Variable Record
MeasureGroupRecord variable1 = measureGroupRecords.at(0).cast<MeasureGroupRecord>();
MeasureGroupRecord variable2 = measureGroupRecords.at(0).cast<MeasureGroupRecord>();
MeasureGroupRecord variable3 = measureGroupRecords.at(0).cast<MeasureGroupRecord>();
EXPECT_EQ(static_cast<size_t>(1), variable1.measureRecords(true).size());
EXPECT_EQ(static_cast<size_t>(1), variable1.measureRecords(false).size());
EXPECT_EQ(static_cast<size_t>(3), problemRecord.inputVariableRecords().size());
UUID uuid1;
UUID versionUUID1;
NullMeasure nullMeasure1(uuid1,versionUUID1,"","","",true);
NullMeasureRecord nullMeasureRecord1(nullMeasure1,variable1,0);
EXPECT_EQ(static_cast<unsigned>(2), variable1.measureRecords(true).size());
EXPECT_EQ(static_cast<unsigned>(2), variable1.measureRecords(false).size());
EXPECT_EQ(static_cast<unsigned>(2), variable2.measureRecords(true).size());
EXPECT_EQ(static_cast<unsigned>(2), variable2.measureRecords(false).size());
UUID uuid2;
UUID versionUUID2;
NullMeasure nullMeasure2(uuid2,versionUUID2,"","","",true);
NullMeasureRecord nullMeasureRecord2(nullMeasure2,variable1,0);
EXPECT_EQ(static_cast<unsigned>(2), variable1.measureRecords(true).size());
EXPECT_EQ(static_cast<unsigned>(2), variable1.measureRecords(false).size());
EXPECT_EQ(static_cast<unsigned>(2), variable2.measureRecords(true).size());
EXPECT_EQ(static_cast<unsigned>(2), variable2.measureRecords(false).size());
MeasureVector perturbations;
MeasureGroup measureGroup("Wall Construction",perturbations);
MeasureGroupRecord measureGroupRecord(measureGroup, problemRecord,0);
openstudio::path rubyPath = resourcesPath() / openstudio::toPath("project/rubyscripts/*.rb");
openstudio::path perturbScript = rubyPath/openstudio::toPath("openstudio/runmanager/rubyscripts/PerturbObject.rb");
RubyMeasure rubyMeasure(perturbScript,FileReferenceType::OSM,FileReferenceType::OSM);
RubyMeasureRecord rubyMeasureRecord1(rubyMeasure,measureGroupRecord,0);
EXPECT_EQ(static_cast<unsigned>(1), measureGroupRecord.numMeasures(true));
EXPECT_EQ(static_cast<unsigned>(1), measureGroupRecord.measureRecordIds(true).size());
EXPECT_EQ(static_cast<unsigned>(1), measureGroupRecord.measureRecords(true).size());
RubyMeasureRecord rubyMeasureRecord(rubyMeasure,measureGroupRecord,0);
EXPECT_EQ(static_cast<unsigned>(1), measureGroupRecord.numMeasures(true));
EXPECT_EQ(static_cast<unsigned>(1), measureGroupRecord.measureRecordIds(true).size());
EXPECT_EQ(rubyMeasureRecord.id(), measureGroupRecord.measureRecordIds(true)[0]);
EXPECT_EQ(static_cast<unsigned>(1), measureGroupRecord.measureRecords(true).size());
EXPECT_EQ(rubyMeasureRecord.handle(), measureGroupRecord.measureRecords(true)[0].handle());
}
}
openstudio::analysis::Analysis AnalysisFixture::analysis1(AnalysisState state) {
// Create problem and analysis
Problem problem("My Problem");
BCLMeasure bclMeasure(resourcesPath() / toPath("utilities/BCL/Measures/SetWindowToWallRatioByFacade"));
RubyMeasure measure(bclMeasure);
// Measure Group
StringVector choices;
choices.push_back("North");
choices.push_back("South");
choices.push_back("East");
choices.push_back("West");
OSArgument facade = OSArgument::makeChoiceArgument("facade",choices);
OSArgument arg = facade.clone();
arg.setValue("South");
measure.setArgument(arg);
OSArgument wwr = OSArgument::makeDoubleArgument("wwr");
MeasureVector measures(1u,NullMeasure());
measures.push_back(measure.clone().cast<Measure>());
arg = wwr.clone();
arg.setValue(0.1);
measures.back().cast<RubyMeasure>().setArgument(arg);
measures.push_back(measure.clone().cast<Measure>());
arg = wwr.clone();
arg.setValue(0.2);
measures.back().cast<RubyMeasure>().setArgument(arg);
measures.push_back(measure.clone().cast<Measure>());
arg = wwr.clone();
arg.setValue(0.3);
measures.back().cast<RubyMeasure>().setArgument(arg);
problem.push(MeasureGroup("South Windows",measures));
// Continuous Variables Attached to Arguments
arg = facade.clone();
arg.setValue("North");
measure.setArgument(arg);
arg = wwr.clone();
RubyContinuousVariable wwrCV("Window to Wall Ratio",arg,measure);
wwrCV.setMinimum(0.0);
wwrCV.setMaximum(1.0);
TriangularDistribution td(0.2,0.0,0.5);
wwrCV.setUncertaintyDescription(td);
problem.push(wwrCV);
OSArgument offset = OSArgument::makeDoubleArgument("offset");
RubyContinuousVariable offsetCV("Offset",offset,measure);
offsetCV.setMinimum(0.0);
offsetCV.setMaximum(1.5);
NormalDistribution nd(0.9,0.05);
offsetCV.setUncertaintyDescription(nd);
problem.push(offsetCV);
// Simulation
problem.push(WorkItem(JobType::ModelToIdf));
problem.push(WorkItem(JobType::EnergyPlusPreProcess));
problem.push(WorkItem(JobType::EnergyPlus));
problem.push(WorkItem(JobType::OpenStudioPostProcess));
// Responses
LinearFunction response1("Energy Use Intensity",
VariableVector(1u,OutputAttributeVariable("EUI","site.eui")));
problem.pushResponse(response1);
VariableVector vars;
vars.push_back(OutputAttributeVariable("Heating Energy","heating.energy.gas"));
vars.push_back(OutputAttributeVariable("Cooling Energy","cooling.energy.elec"));
DoubleVector coeffs;
coeffs.push_back(1.0); // approx. source factor
coeffs.push_back(2.5); // approx. source factor
LinearFunction response2("Approximate Source Energy",vars,coeffs);
problem.pushResponse(response2);
LinearFunction response3("North WWR",VariableVector(1u,wwrCV)); // input variable as output
problem.pushResponse(response3);
Analysis analysis("My Analysis",problem,FileReferenceType::OSM);
if (state == PreRun) {
// Add three DataPoints
std::vector<QVariant> values;
values.push_back(0);
values.push_back(0.2);
values.push_back(0.9);
OptionalDataPoint dataPoint = problem.createDataPoint(values);
analysis.addDataPoint(*dataPoint);
values[0] = 1; values[1] = 0.21851789; values[2] = 1.1681938;
dataPoint = problem.createDataPoint(values);
analysis.addDataPoint(*dataPoint);
values[0] = 2; values[1] = 0.0; values[2] = 0.581563892;
dataPoint = problem.createDataPoint(values);
analysis.addDataPoint(*dataPoint);
}
else {
// state == PostRun
// Add one complete DataPoint
std::vector<QVariant> values;
values.push_back(1);
values.push_back(0.3);
values.push_back(0.9);
DoubleVector responseValues;
responseValues.push_back(58.281967);
responseValues.push_back(718952.281);
responseValues.push_back(0.3);
TagVector tags;
tags.push_back(Tag("custom"));
tags.push_back(Tag("faked"));
// attributes
AttributeVector attributes;
attributes.push_back(Attribute("electricity.Cooling",281.281567,"kWh"));
attributes.push_back(Attribute("electricity.Lighting",19206.291876,"kWh"));
attributes.push_back(Attribute("electricity.Equipment",5112.125718,"kWh"));
attributes = AttributeVector(1u,Attribute("enduses.electric",attributes));
attributes.push_back(Attribute("eui",createQuantity(128.21689,"kBtu/ft^2").get()));
// complete job
// 1. get vector of work items
std::vector<WorkItem> workItems;
// 0
workItems.push_back(problem.variables()[0].cast<MeasureGroup>().createWorkItem(QVariant(1),
toPath(rubyOpenStudioDir())));
RubyContinuousVariable rcv = problem.variables()[1].cast<RubyContinuousVariable>();
RubyMeasure rm = rcv.measure();
OSArgument arg = rcv.argument().clone();
arg.setValue(values[1].toDouble());
rm.setArgument(arg);
rcv = problem.variables()[2].cast<RubyContinuousVariable>();
arg = rcv.argument().clone();
arg.setValue(values[2].toDouble());
rm.setArgument(arg);
// 1
workItems.push_back(rm.createWorkItem(toPath(rubyOpenStudioDir())));
// 2
workItems.push_back(WorkItem(JobType::ModelToIdf));
// 3
workItems.push_back(WorkItem(JobType::EnergyPlusPreProcess));
// 4
workItems.push_back(WorkItem(JobType::EnergyPlus));
// 5
workItems.push_back(WorkItem(JobType::OpenStudioPostProcess));
// 2. step through work items and create jobs with results
WorkItem wi = workItems[5];
std::vector<FileInfo> inFiles = wi.files.files();
inFiles.push_back(FileInfo("eplusout.sql",
DateTime(Date(MonthOfYear::Mar,21,2018),Time(0,8,33,32)),
"",
toPath("myProject/fakeDataPoint/75-OpenStudioPostProcess-0/eplusout.sql")));
Files inFilesObject(inFiles);
std::vector<std::pair<ErrorType, std::string> > errors;
errors.push_back(std::make_pair(ErrorType::Info,"Post-process completed successfully."));
JobErrors errorsObject(OSResultValue::Success,errors);
std::vector<FileInfo> outFiles;
outFiles.push_back(FileInfo("report.xml",
DateTime(Date(MonthOfYear::Mar,21,2018),Time(0,8,34,21)),
"",
toPath("myProject/fakeDataPoint/75-OpenStudioPostProcess-0/report.xml")));
Files outFilesObject(outFiles);
Job job = JobFactory::createJob(
wi.type,
wi.tools,
wi.params,
inFilesObject,
std::vector<openstudio::URLSearchPath>(),
false,
createUUID(),
JobState(
DateTime(Date(MonthOfYear::Mar,21,2018),Time(0,8,34,21)),
errorsObject,
outFilesObject,
AdvancedStatus(),
openstudio::path())
); // OpenStudioPostProcess
Job jobLast = job;
wi = workItems[4];
inFiles = wi.files.files();
inFiles.push_back(FileInfo("in.idf",
DateTime(Date(MonthOfYear::Mar,21,2018),Time(0,8,23,05)),
"",
toPath("myProject/fakeDataPoint/74-EnergyPlus-0/in.idf")));
inFilesObject = Files(inFiles);
errors.clear();
errors.push_back(std::make_pair(ErrorType::Warning,"ENERGYPLUS WARNING: ..."));
errors.push_back(std::make_pair(ErrorType::Warning,"ENERGYPLUS WARNING: ..."));
errors.push_back(std::make_pair(ErrorType::Warning,"ENERGYPLUS WARNING: ..."));
errorsObject = JobErrors(OSResultValue::Success,errors);
outFiles.clear();
outFiles.push_back(FileInfo("eplusout.sql",
DateTime(Date(MonthOfYear::Mar,21,2018),Time(0,8,33,32)),
"",
toPath("myProject/fakeDataPoint/74-EnergyPlus-0/eplusout.sql")));
outFiles.push_back(FileInfo("eplusout.err",
DateTime(Date(MonthOfYear::Mar,21,2018),Time(0,8,33,34)),
"",
toPath("myProject/fakeDataPoint/74-EnergyPlus-0/eplusout.err")));
outFilesObject = Files(outFiles);
job = JobFactory::createJob(
wi.type,
wi.tools,
wi.params,
inFilesObject,
std::vector<openstudio::URLSearchPath>(),
false,
createUUID(),
JobState(
DateTime(Date(MonthOfYear::Mar,21,2018),Time(0,8,33,42)),
errorsObject,
outFilesObject,
AdvancedStatus(),
openstudio::path())
); // EnergyPlus
job.addChild(jobLast);
jobLast = job;
wi = workItems[3];
inFiles = wi.files.files();
inFiles.push_back(FileInfo("in.idf",
DateTime(Date(MonthOfYear::Mar,21,2018),Time(0,8,22,30)),
"",
toPath("myProject/fakeDataPoint/73-EnergyPlusPreProcess-0/in.idf")));
inFilesObject = Files(inFiles);
errors.clear();
errorsObject = JobErrors(OSResultValue::Success,errors);
outFiles.clear();
outFiles.push_back(FileInfo("out.idf",
DateTime(Date(MonthOfYear::Mar,21,2018),Time(0,8,23,05)),
"",
toPath("myProject/fakeDataPoint/73-EnergyPlusPreProcess-0/out.idf")));
outFilesObject = Files(outFiles);
job = JobFactory::createJob(
wi.type,
wi.tools,
wi.params,
inFilesObject,
std::vector<openstudio::URLSearchPath>(),
false,
createUUID(),
JobState(
DateTime(Date(MonthOfYear::Mar,21,2018),Time(0,8,23,12)),
errorsObject,
outFilesObject,
AdvancedStatus(),
openstudio::path())
); // EnergyPlusPreProcess
job.addChild(jobLast);
jobLast = job;
wi = workItems[2];
inFiles = wi.files.files();
inFiles.push_back(FileInfo("in.osm",
DateTime(Date(MonthOfYear::Mar,21,2018),Time(0,8,22,01)),
"",
toPath("myProject/fakeDataPoint/72-ModelToIdf-0/in.osm")));
inFilesObject = Files(inFiles);
errors.clear();
errors.push_back(std::make_pair(ErrorType::Info,"Did not find ScheduleTypeLimits for Schedule ..."));
errors.push_back(std::make_pair(ErrorType::Warning,"Unexpectedly did not find a child object of a certain type, replaced with a default one."));
errorsObject = JobErrors(OSResultValue::Success,errors);
outFiles.clear();
outFiles.push_back(FileInfo("out.idf",
DateTime(Date(MonthOfYear::Mar,21,2018),Time(0,8,22,30)),
"",
toPath("myProject/fakeDataPoint/72-ModelToIdf-0/out.idf")));
outFilesObject = Files(outFiles);
job = JobFactory::createJob(
wi.type,
wi.tools,
wi.params,
inFilesObject,
std::vector<openstudio::URLSearchPath>(),
false,
createUUID(),
JobState(
DateTime(Date(MonthOfYear::Mar,21,2018),Time(0,8,22,32)),
errorsObject,
outFilesObject,
AdvancedStatus(),
openstudio::path())
); // ModelToIdf
job.addChild(jobLast);
jobLast = job;
wi = workItems[1];
errors.clear();
errors.push_back(std::make_pair(ErrorType::InitialCondition,"Started with a window to wall ratio of ..."));
errors.push_back(std::make_pair(ErrorType::FinalCondition,"Set the window to wall ratio ..."));
errorsObject = JobErrors(OSResultValue::Success,errors);
outFiles.clear();
outFilesObject = Files(outFiles);
wi.params.append("outdir","myProject/fakeDataPoint/");
job = JobFactory::createJob(
wi.type,
wi.tools,
wi.params,
wi.files,
std::vector<openstudio::URLSearchPath>(),
false,
createUUID(),
JobState(
DateTime(Date(MonthOfYear::Mar,21,2018),Time(0,8,21,52)),
errorsObject,
outFilesObject,
AdvancedStatus(),
openstudio::path())
); // Variables 2 & 3
job.addChild(jobLast);
jobLast = job;
wi = workItems[0];
errors.clear();
errors.push_back(std::make_pair(ErrorType::InitialCondition,"Started with a window to wall ratio of ..."));
errors.push_back(std::make_pair(ErrorType::FinalCondition,"Set the window to wall ratio ..."));
errorsObject = JobErrors(OSResultValue::Success,errors);
outFiles.clear();
outFilesObject = Files(outFiles);
// add outdir job param
JobParams params = wi.params;
params.append("outdir","myProject/fakeDataPoint");
job = JobFactory::createJob(
wi.type,
wi.tools,
params,
wi.files,
std::vector<openstudio::URLSearchPath>(),
false,
createUUID(),
JobState(
DateTime(Date(MonthOfYear::Mar,21,2018),Time(0,8,21,10)),
errorsObject,
outFilesObject,
AdvancedStatus(),
openstudio::path())
); // Variable 1
job.addChild(jobLast);
DataPoint dataPoint(createUUID(),
createUUID(),
"fakeDataPoint",
"Fake Data Point",
"Demonstrating json serialization of complete DataPoint.",
problem,
true,
false,
true,
DataPointRunType::Local,
values,
responseValues,
toPath("myProject/fakeDataPoint/"),
FileReference(toPath("myProject/fakeDataPoint/71-Ruby-0/out.osm")),
FileReference(toPath("myProject/fakeDataPoint/72-ModelToIdf-0/out.idf")),
FileReference(toPath("myProject/fakeDataPoint/74-EnergyPlus-0/eplusout.sql")),
FileReferenceVector(1u,FileReference(toPath("myProject/fakeDataPoint/75-OpenStudioPostProcess-0/report.xml"))),
job,
std::vector<openstudio::path>(),
tags,
attributes);
EXPECT_TRUE(analysis.addDataPoint(dataPoint));
}
return analysis;
}
TEST_F(AnalysisFixture, Problem_Constructors) {
VariableVector variables;
MeasureVector measures;
runmanager::Workflow workflow;
// almost-default constructor
Problem problem("Problem",variables,workflow);
EXPECT_EQ(0,problem.numVariables());
OptionalInt combinatorialSize = problem.combinatorialSize(true);
ASSERT_TRUE(combinatorialSize);
EXPECT_EQ(0,*combinatorialSize);
// variables with consistent file types
variables.clear();
measures.clear();
measures.push_back(NullMeasure());
openstudio::path rubyScriptPath = toPath(rubyLibDir()) /
toPath("openstudio/runmanager/rubyscripts/PerturbObject.rb");
measures.push_back(RubyMeasure(rubyScriptPath,
FileReferenceType::OSM,
FileReferenceType::OSM));
measures.push_back(RubyMeasure(rubyScriptPath,
FileReferenceType::OSM,
FileReferenceType::OSM));
variables.push_back(MeasureGroup("Variable 1",measures));
measures.clear();
measures.push_back(RubyMeasure(rubyScriptPath,
FileReferenceType::OSM,
FileReferenceType::IDF));
variables.push_back(MeasureGroup("Variable 2",measures));
measures.clear();
measures.push_back(NullMeasure());
measures.push_back(RubyMeasure(rubyScriptPath,
FileReferenceType::IDF,
FileReferenceType::IDF));
variables.push_back(MeasureGroup("Variable 3",measures));
problem = Problem("Problem",variables,workflow);
EXPECT_EQ(3,problem.numVariables());
EXPECT_EQ(6,problem.combinatorialSize(true).get());
// variables with inconistent file types
variables.clear();
measures.clear();
measures.push_back(NullMeasure());
measures.push_back(RubyMeasure(rubyScriptPath,
FileReferenceType::OSM,
FileReferenceType::OSM));
measures.push_back(RubyMeasure(rubyScriptPath,
FileReferenceType::OSM,
FileReferenceType::OSM));
variables.push_back(MeasureGroup("Variable 1",measures));
measures.clear();
measures.push_back(NullMeasure());
measures.push_back(RubyMeasure(rubyScriptPath,
FileReferenceType::IDF,
FileReferenceType::IDF));
variables.push_back(MeasureGroup("Variable 2",measures));
EXPECT_THROW(Problem("Problem",variables,workflow),std::exception);
// variables and non-null workflow with consistent file types
variables.clear();
measures.clear();
measures.push_back(NullMeasure());
measures.push_back(RubyMeasure(rubyScriptPath,
FileReferenceType::IDF,
FileReferenceType::IDF));
variables.push_back(MeasureGroup("Variable 1",measures));
workflow = runmanager::Workflow();
workflow.addJob(openstudio::runmanager::JobType::EnergyPlus);
problem = Problem("Problem",variables,workflow);
problem.setDisplayName("Display Name");
problem.setDescription("long winded description");
EXPECT_EQ(1,problem.numVariables());
EXPECT_EQ(2,problem.combinatorialSize(true).get());
// deserialization
Problem problemCopy(problem.uuid(),
problem.versionUUID(),
problem.name(),
problem.displayName(),
problem.description(),
problem.workflow(),
problem.responses());
EXPECT_FALSE(problem == problemCopy); // different impls
EXPECT_TRUE(problem.uuid() == problemCopy.uuid());
EXPECT_TRUE(problem.versionUUID() == problemCopy.versionUUID());
EXPECT_EQ(problem.name(),problemCopy.name());
EXPECT_EQ(problem.displayName(),problemCopy.displayName());
EXPECT_EQ(problem.description(),problemCopy.description());
EXPECT_TRUE(problem.workflow() == problemCopy.workflow());
// variables and non-null workflow with inconsistent file types
workflow = runmanager::Workflow();
workflow.addJob(openstudio::runmanager::JobType::ModelToIdf);
workflow.addJob(openstudio::runmanager::JobType::EnergyPlus);
EXPECT_THROW(Problem("Problem",variables,workflow),std::exception);
}
TEST_F(AnalysisFixture, Problem_UpdateMeasure_MeasureGroups) {
// open up example measure
openstudio::path measuresPath = resourcesPath() / toPath("/utilities/BCL/Measures/v2");
openstudio::path dir = measuresPath / toPath("SetWindowToWallRatioByFacade");
ASSERT_TRUE(BCLMeasure::load(dir));
BCLMeasure measure1 = BCLMeasure::load(dir).get();
openstudio::path tempDir1 = measuresPath / toPath(toString(createUUID()));
openstudio::path tempDir2 = measuresPath / toPath(toString(createUUID()));
{
// create multiple BCLMeasures
BCLMeasure measure1_1 = measure1.clone(tempDir1).get();
measure1_1.setDescription("Window to wall ratio by wwr and offset.");
measure1_1.save();
EXPECT_TRUE(measure1_1.uuid() == measure1.uuid());
EXPECT_FALSE(measure1_1.versionUUID() == measure1.versionUUID());
BCLMeasure measure2 = measure1.clone(tempDir2).get();
measure2.changeUID();
measure2.incrementVersionId();
measure2.save();
EXPECT_FALSE(measure2.uuid() == measure1.uuid());
EXPECT_FALSE(measure2.versionUUID() == measure1.versionUUID());
// create args for those measures
OSArgumentVector args1, args1_1, args2;
args1.push_back(OSArgument::makeDoubleArgument("wwr"));
args1.push_back(OSArgument::makeDoubleArgument("sillHeight"));
args1_1.push_back(OSArgument::makeDoubleArgument("wwr"));
args1_1.push_back(OSArgument::makeDoubleArgument("offset"));
args1_1.push_back(OSArgument::makeDoubleArgument("vt"));
args2.push_back(OSArgument::makeIntegerArgument("numPeople"));
// create a problem that uses multiple BCLMeasures
Problem problem("Problem",VariableVector(),runmanager::Workflow());
MeasureGroup dv("South WWR",MeasureVector(1u,NullMeasure()));
problem.push(dv);
RubyMeasure rp(measure1);
rp.setArguments(args1);
dv.push(rp);
dv.push(rp.clone().cast<RubyMeasure>());
ASSERT_EQ(3u,dv.numMeasures(false));
rp = dv.measures(false)[2].cast<RubyMeasure>();
EXPECT_EQ(2u,rp.arguments().size());
EXPECT_TRUE(rp.hasIncompleteArguments());
dv = MeasureGroup("Occupancy",MeasureVector(1u,NullMeasure()));
problem.push(dv);
rp = RubyMeasure(measure2);
rp.setArguments(args2);
dv.push(rp);
OSArgument arg = args2[0].clone();
arg.setValue(100);
rp.setArgument(arg);
EXPECT_EQ(1u,rp.arguments().size());
EXPECT_FALSE(rp.hasIncompleteArguments());
dv = MeasureGroup("North WWR",MeasureVector(1u,NullMeasure()));
problem.push(dv);
rp = RubyMeasure(measure1);
rp.setArguments(args1);
arg = args1[0].clone();
arg.setValue(0.32);
rp.setArgument(arg);
arg = args1[1].clone();
arg.setValue(1.0);
rp.setArgument(arg);
EXPECT_EQ(2u,rp.arguments().size());
EXPECT_FALSE(rp.hasIncompleteArguments());
dv.push(rp);
EXPECT_EQ(2u,dv.numMeasures(false));
// call update
problem.clearDirtyFlag();
problem.updateMeasure(measure1_1,args1_1,false);
// check state
VariableVector vars = castVector<Variable>(problem.variables());
ASSERT_EQ(3u,vars.size());
EXPECT_TRUE(vars[0].isDirty());
EXPECT_FALSE(vars[1].isDirty());
EXPECT_TRUE(vars[2].isDirty());
dv = vars[0].cast<MeasureGroup>();
ASSERT_EQ(3u,dv.numMeasures(false));
MeasureVector ps = dv.measures(false);
EXPECT_FALSE(ps[0].isDirty());
EXPECT_TRUE(ps[1].isDirty());
rp = ps[1].cast<RubyMeasure>();
EXPECT_EQ(3u,rp.arguments().size());
EXPECT_EQ(3u,rp.incompleteArguments().size());
EXPECT_TRUE(ps[2].isDirty());
rp = ps[2].cast<RubyMeasure>();
EXPECT_EQ(3u,rp.arguments().size());
EXPECT_EQ(3u,rp.incompleteArguments().size());
dv = vars[2].cast<MeasureGroup>();
ASSERT_EQ(2u,dv.numMeasures(false));
ps = dv.measures(false);
EXPECT_FALSE(ps[0].isDirty());
EXPECT_TRUE(ps[1].isDirty());
rp = ps[1].cast<RubyMeasure>();
EXPECT_EQ(3u,rp.arguments().size());
EXPECT_EQ(2u,rp.incompleteArguments().size());
}
boost::filesystem::remove_all(tempDir1);
boost::filesystem::remove_all(tempDir2);
}
void Stepper::unregisterProcess( Process* aProcess )
{
ProcessVector::iterator ip( std::find( theProcessVector.begin(),
theProcessVector.end(),
aProcess ) );
if( ip == theProcessVector.end() )
{
THROW_EXCEPTION_INSIDE( NotFound,
asString() + ": Failed to dissociate [" +
aProcess->asString() + "] (no such Process is "
"associated to this stepper)" );
}
typedef std::set< Variable* > VariableSet;
VariableSet aVarSet;
Process::VariableReferenceVector const& aVarRefVector(
aProcess->getVariableReferenceVector() );
std::transform( aVarRefVector.begin(), aVarRefVector.end(),
inserter( aVarSet, aVarSet.begin() ),
std::mem_fun_ref( &VariableReference::getVariable ) );
VariableVector aNewVector;
VariableVector::size_type aReadWriteVariableOffset,
aReadOnlyVariableOffset;
for( VariableVector::iterator i( theVariableVector.begin() ),
e( theVariableVector.begin()
+ theReadWriteVariableOffset );
i != e; ++i )
{
VariableSet::iterator j( aVarSet.find( *i ) );
if ( j != aVarSet.end() )
aVarSet.erase( j );
else
aNewVector.push_back( *i );
}
aReadWriteVariableOffset = aNewVector.size();
for( VariableVector::iterator i( theVariableVector.begin()
+ theReadWriteVariableOffset ),
e( theVariableVector.begin()
+ theReadOnlyVariableOffset );
i != e; ++i )
{
VariableSet::iterator j( aVarSet.find( *i ) );
if ( j != aVarSet.end() )
aVarSet.erase( j );
else
aNewVector.push_back( *i );
}
aReadOnlyVariableOffset = aNewVector.size();
for( VariableVector::iterator i( theVariableVector.begin()
+ theReadOnlyVariableOffset ),
e( theVariableVector.end() );
i != e; ++i )
{
VariableSet::iterator j( aVarSet.find( *i ) );
if ( j != aVarSet.end() )
aVarSet.erase( j );
else
aNewVector.push_back( *i );
}
theVariableVector.swap( aNewVector );
theReadWriteVariableOffset = aReadWriteVariableOffset;
theReadOnlyVariableOffset = aReadOnlyVariableOffset;
theProcessVector.erase( ip );
}
TEST_F(AnalysisFixture, SequentialSearch) {
// define dummy problem
VariableVector variables;
std::stringstream ss;
for (int i = 0; i < 5; ++i) {
MeasureVector measures;
measures.push_back(NullMeasure());
measures.push_back(RubyMeasure(toPath("in.rb"),FileReferenceType::OSM,FileReferenceType::OSM));
ss << "var " << i + 1;
variables.push_back(MeasureGroup(ss.str(),measures));
ss.str("");
}
FunctionVector functions;
functions.push_back(LinearFunction("",VariableVector(1u,OutputAttributeContinuousVariable("f1","f1"))));
functions.push_back(LinearFunction("",VariableVector(1u,OutputAttributeContinuousVariable("f2","f2"))));
OptimizationProblem problem("By-Hand Problem",functions,variables,runmanager::Workflow());
// solve dummy problem and check results
SequentialSearch algorithm(SequentialSearchOptions(0));
FileReference seed(toPath("in.osm"));
Analysis analysis("By-Hand Analysis",problem,algorithm,seed);
int numAdded = algorithm.createNextIteration(analysis);
EXPECT_EQ(1,numAdded);
OptimizationDataPointVector nextIteration =
castVector<OptimizationDataPoint>(analysis.dataPointsToQueue());
EXPECT_EQ(1u,nextIteration.size());
while (!nextIteration.empty()) {
int n = analysis.dataPoints().size();
LOG(Debug,"Conducting iteration " << algorithm.iter() << " of Sequential Search.");
OptimizationDataPointVector completeDataPoints =
castVector<OptimizationDataPoint>(analysis.completeDataPoints());
OptimizationDataPointVector currentDataPoints =
castVector<OptimizationDataPoint>(analysis.getDataPoints("current"));
EXPECT_EQ(1u,currentDataPoints.size());
ASSERT_FALSE(currentDataPoints.empty());
EXPECT_EQ(unsigned(algorithm.iter()),analysis.getDataPoints("explored").size());
if (algorithm.iter() == 0) {
EXPECT_EQ(1,n);
EXPECT_EQ(0u,completeDataPoints.size());
}
else if (algorithm.iter() == 1) {
EXPECT_DOUBLE_EQ(20.0,currentDataPoints[0].objectiveValues()[0]);
EXPECT_DOUBLE_EQ(20.0,currentDataPoints[0].objectiveValues()[1]);
EXPECT_EQ(6,n);
EXPECT_EQ(1u,completeDataPoints.size());
EXPECT_TRUE(currentDataPoints[0] == completeDataPoints[0]);
EXPECT_TRUE(completeDataPoints[0].isTag("curve0"));
EXPECT_TRUE(completeDataPoints[0].isTag("current"));
EXPECT_TRUE(completeDataPoints[0].isTag("explored"));
EXPECT_EQ(5u,nextIteration.size());
}
else if (algorithm.iter() == 2) {
EXPECT_DOUBLE_EQ(17.0,currentDataPoints[0].objectiveValues()[0]);
EXPECT_DOUBLE_EQ(19.0,currentDataPoints[0].objectiveValues()[1]);
EXPECT_EQ(10,n);
EXPECT_EQ(6u,completeDataPoints.size());
EXPECT_EQ(2u,analysis.getDataPoints("curve0").size());
EXPECT_EQ(4u,nextIteration.size());
}
else if (algorithm.iter() == 3) {
EXPECT_DOUBLE_EQ(16.0,currentDataPoints[0].objectiveValues()[0]);
EXPECT_DOUBLE_EQ(16.0,currentDataPoints[0].objectiveValues()[1]);
EXPECT_EQ(13,n);
EXPECT_EQ(10u,completeDataPoints.size());
EXPECT_EQ(3u,analysis.getDataPoints("curve0").size());
EXPECT_EQ(3u,nextIteration.size());
}
else if (algorithm.iter() == 4) {
// backtracking
EXPECT_DOUBLE_EQ(15.0,currentDataPoints[0].objectiveValues()[0]);
EXPECT_DOUBLE_EQ(19.0,currentDataPoints[0].objectiveValues()[1]);
EXPECT_EQ(16,n);
EXPECT_EQ(13u,completeDataPoints.size());
EXPECT_EQ(2u,analysis.getDataPoints("curve0").size());
EXPECT_EQ(3u,nextIteration.size());
}
else if (algorithm.iter() == 5) {
// backtracking
EXPECT_DOUBLE_EQ(18.0,currentDataPoints[0].objectiveValues()[0]);
EXPECT_DOUBLE_EQ(20.0,currentDataPoints[0].objectiveValues()[1]);
EXPECT_EQ(18,n);
EXPECT_EQ(16u,completeDataPoints.size());
EXPECT_EQ(2u,analysis.getDataPoints("curve0").size());
EXPECT_EQ(2u,nextIteration.size());
}
else if (algorithm.iter() == 6) {
EXPECT_DOUBLE_EQ(17.0,currentDataPoints[0].objectiveValues()[0]);
EXPECT_DOUBLE_EQ(14.0,currentDataPoints[0].objectiveValues()[1]);
EXPECT_EQ(20,n);
EXPECT_EQ(18u,completeDataPoints.size());
EXPECT_EQ(5u,analysis.getDataPoints("curve0").size());
EXPECT_EQ(2u,nextIteration.size());
}
else if (algorithm.iter() == 7) {
EXPECT_DOUBLE_EQ(20.0,currentDataPoints[0].objectiveValues()[0]);
EXPECT_DOUBLE_EQ(12.0,currentDataPoints[0].objectiveValues()[1]);
EXPECT_EQ(23,n);
EXPECT_EQ(20u,completeDataPoints.size());
EXPECT_EQ(6u,analysis.getDataPoints("curve0").size());
EXPECT_EQ(3u,nextIteration.size());
}
EXPECT_EQ(static_cast<size_t>(n),completeDataPoints.size() + nextIteration.size());
for (const OptimizationDataPoint& point : nextIteration) {
std::vector<QVariant> values = point.variableValues();
DoubleVector objectiveValues = getObjectiveValues(values);
for (int i = 0; i < 5; ++i) {
int value = values[i].toInt();
if (value == 0) {
ss << " ";
}
else {
EXPECT_EQ(1,value);
ss << i + 1 << " ";
}
}
ss << ": " << objectiveValues[0] << ", " << objectiveValues[1];
LOG(Debug,ss.str()); ss.str("");
completeDataPoints.push_back(OptimizationDataPoint(point.uuid(),
createUUID(),
"","","",
problem,
true,
false,
true,
DataPointRunType::Local,
values,
DoubleVector(),
objectiveValues,
openstudio::path(),
boost::none,
boost::none,
boost::none,
boost::none,
std::vector<openstudio::path>(),
point.tags(),
point.outputAttributes())); // DLM: Elaine is this ok?
}
EXPECT_EQ(static_cast<size_t>(n),completeDataPoints.size());
analysis = Analysis(analysis.uuid(),
createUUID(),
analysis.name(),
analysis.displayName(),
analysis.description(),
problem,
algorithm,
seed,
boost::none,
castVector<DataPoint>(completeDataPoints),
false,
false);
algorithm.createNextIteration(analysis);
nextIteration = castVector<OptimizationDataPoint>(analysis.dataPointsToQueue());
}
EXPECT_EQ(23u,analysis.successfulDataPoints().size());
OptimizationDataPointVector minimumCurve = algorithm.getMinimumCurve(0,analysis);
ASSERT_EQ(6u,minimumCurve.size());
DoubleVector values = minimumCurve[0].objectiveValues();
EXPECT_DOUBLE_EQ(20.0,values[0]); EXPECT_DOUBLE_EQ(20.0,values[1]);
values = minimumCurve[1].objectiveValues();
EXPECT_DOUBLE_EQ(18.0,values[0]); EXPECT_DOUBLE_EQ(20.0,values[1]);
values = minimumCurve[2].objectiveValues();
EXPECT_DOUBLE_EQ(15.0,values[0]); EXPECT_DOUBLE_EQ(19.0,values[1]);
values = minimumCurve[3].objectiveValues();
EXPECT_DOUBLE_EQ(16.0,values[0]); EXPECT_DOUBLE_EQ(16.0,values[1]);
values = minimumCurve[4].objectiveValues();
EXPECT_DOUBLE_EQ(17.0,values[0]); EXPECT_DOUBLE_EQ(14.0,values[1]);
values = minimumCurve[5].objectiveValues();
EXPECT_DOUBLE_EQ(20.0,values[0]); EXPECT_DOUBLE_EQ(12.0,values[1]);
OptimizationDataPointVector paretoFront = algorithm.getParetoFront(analysis);
for (const OptimizationDataPoint& paretoPoint : paretoFront) {
EXPECT_FALSE(std::find(minimumCurve.begin(),minimumCurve.end(),paretoPoint) == minimumCurve.end());
}
ASSERT_EQ(4u,paretoFront.size());
// expect same order as curve0, although different method for calculating
values = paretoFront[0].objectiveValues();
EXPECT_DOUBLE_EQ(15.0,values[0]); EXPECT_DOUBLE_EQ(19.0,values[1]); // minimizes f0
values = paretoFront[1].objectiveValues();
EXPECT_DOUBLE_EQ(16.0,values[0]); EXPECT_DOUBLE_EQ(16.0,values[1]);
values = paretoFront[2].objectiveValues();
EXPECT_DOUBLE_EQ(17.0,values[0]); EXPECT_DOUBLE_EQ(14.0,values[1]);
values = paretoFront[3].objectiveValues();
EXPECT_DOUBLE_EQ(20.0,values[0]); EXPECT_DOUBLE_EQ(12.0,values[1]); // minimizes f1
}
void print_variable_vector(VariableVector v) {
for (VariableVector::iterator it = v.begin(); it != v.end(); ++it) {
cout << "name: " << it->first << ", val: " << it->second << endl;
}
}
TEST_F(AnalysisFixture, Problem_FileTypesAreCompatible_NewMeasureGroup) {
// ok to insert null-only discrete variable anywhere in the chain
// (between null-model, model-model, idf-idf, idf-workflow)
VariableVector variables;
// 0
variables.push_back(
MeasureGroup("Null Variable 1",
MeasureVector(1u,NullMeasure())));
// 1
variables.push_back(
MeasureGroup("Model Variable 1",
MeasureVector(1u,RubyMeasure(toPath("modelUserScript.rb"),
FileReferenceType::OSM,
FileReferenceType::OSM,
true))));
// 2
variables.push_back(
MeasureGroup("Translation Variable 1",
MeasureVector(1u,RubyMeasure(toPath("translationUserScript.rb"),
FileReferenceType::OSM,
FileReferenceType::IDF,
true))));
// 3
variables.push_back(
MeasureGroup("Workspace Variable 1",
MeasureVector(1u,RubyMeasure(toPath("workspaceUserScript.rb"),
FileReferenceType::IDF,
FileReferenceType::IDF,
true))));
runmanager::Workflow workflow;
workflow.addJob(runmanager::JobType::EnergyPlus);
Problem problem("Problem 1",variables,workflow);
MeasureGroup newVar("New Discrete Variable",
MeasureVector(1u,NullMeasure()));
EXPECT_TRUE(problem.insert(4,newVar.clone().cast<InputVariable>()));
ASSERT_EQ(5,problem.numVariables());
EXPECT_EQ("New Discrete Variable",problem.variables()[4].name());
EXPECT_TRUE(problem.insert(3,newVar.clone().cast<InputVariable>()));
EXPECT_EQ(6,problem.numVariables());
ASSERT_GE(problem.numVariables(),5);
EXPECT_EQ("Translation Variable 1",problem.variables()[2].name());
EXPECT_EQ("New Discrete Variable",problem.variables()[3].name());
EXPECT_EQ("Workspace Variable 1",problem.variables()[4].name());
EXPECT_TRUE(problem.insert(2,newVar.clone().cast<InputVariable>()));
EXPECT_TRUE(problem.insert(1,newVar.clone().cast<InputVariable>()));
EXPECT_TRUE(problem.insert(0,newVar.clone().cast<InputVariable>()));
EXPECT_EQ(9,problem.numVariables());
variables = castVector<Variable>(problem.variables());
for (int i = 0, n = problem.numVariables(); i < n; ++i) {
if (i % 2 == 0) {
EXPECT_EQ("New Discrete Variable",variables[i].name());
}
else {
EXPECT_NE("New Discrete Variable",variables[i].name());
}
}
// (between null-idf, idf-idf, idf-workflow)
variables.clear();
// 0
variables.push_back(
MeasureGroup("Null Variable 1",
MeasureVector(1u,NullMeasure())));
// 1
variables.push_back(
MeasureGroup("Workspace Variable 1",
MeasureVector(1u,RubyMeasure(toPath("workspaceUserScript.rb"),
FileReferenceType::IDF,
FileReferenceType::IDF,
true))));
// 2
variables.push_back(
MeasureGroup("Workspace Variable 2",
MeasureVector(1u,RubyMeasure(toPath("workspaceUserScript.rb"),
FileReferenceType::IDF,
FileReferenceType::IDF,
true))));
problem = Problem("Problem 2",variables,workflow);
EXPECT_TRUE(problem.insert(3,newVar.clone().cast<InputVariable>()));
EXPECT_TRUE(problem.insert(2,newVar.clone().cast<InputVariable>()));
EXPECT_TRUE(problem.insert(1,newVar.clone().cast<InputVariable>()));
EXPECT_TRUE(problem.insert(0,newVar.clone().cast<InputVariable>()));
EXPECT_EQ(7,problem.numVariables());
variables = castVector<Variable>(problem.variables());
for (int i = 0, n = problem.numVariables(); i < n; ++i) {
if (i % 2 == 0) {
EXPECT_EQ("New Discrete Variable",variables[i].name());
}
else {
EXPECT_NE("New Discrete Variable",variables[i].name());
}
}
// expected behavior for then adding first measure
// test with BCLMeasure first. verify with RubyMeasure.
openstudio::path dir = resourcesPath() / toPath("/utilities/BCL/Measures/v2/SetWindowToWallRatioByFacade");
BCLMeasure bclMeasure = BCLMeasure::load(dir).get();
EXPECT_EQ(FileReferenceType(FileReferenceType::OSM),bclMeasure.inputFileType());
EXPECT_EQ(FileReferenceType(FileReferenceType::OSM),bclMeasure.outputFileType());
RubyMeasure measure(bclMeasure);
// have idf-only problem with two null variables at the top
// try to add measures to first variable
MeasureGroup firstVariable = problem.variables()[0].cast<MeasureGroup>();
ASSERT_TRUE(firstVariable.parent());
WorkflowStep step0 = problem.workflow()[0];
EXPECT_TRUE(firstVariable.parent().get() == step0);
EXPECT_EQ(1u,firstVariable.numMeasures(false));
EXPECT_FALSE(problem.fileTypesAreCompatible(firstVariable,
measure.inputFileType(),
measure.outputFileType()));
ASSERT_TRUE(firstVariable.parent());
EXPECT_TRUE(firstVariable.parent().get() == problem.workflow()[0]);
EXPECT_TRUE(problem.workflow()[0] == step0);
EXPECT_FALSE(firstVariable.push(measure));
EXPECT_EQ(1u,firstVariable.numMeasures(false));
// make second variable a translation variable
MeasureGroup secondVariable = problem.variables()[1].cast<MeasureGroup>();
EXPECT_FALSE(secondVariable.push(RubyMeasure(toPath("myTranslationScript.rb"),
FileReferenceType::OSM,
FileReferenceType::IDF)));
secondVariable.erase(secondVariable.measures(false)[0]);
EXPECT_TRUE(secondVariable.push(RubyMeasure(toPath("myTranslationScript.rb"),
FileReferenceType::OSM,
FileReferenceType::IDF)));
// now should be able to add OSM measure
EXPECT_TRUE(problem.fileTypesAreCompatible(firstVariable,
measure.inputFileType(),
measure.outputFileType()));
EXPECT_TRUE(firstVariable.push(measure));
EXPECT_EQ(2u,firstVariable.numMeasures(false));
}
TEST_F(AnalysisFixture, Problem_FileTypesAreCompatible_ExistingMeasureGroup) {
// expected behavior when discrete variable already contains measures
// test with BCLMeasure first. verify with RubyMeasure.
// create problem
VariableVector variables;
variables.push_back(
MeasureGroup("Model Variable 1",
MeasureVector(1u,RubyMeasure(toPath("modelUserScript.rb"),
FileReferenceType::OSM,
FileReferenceType::OSM,
true))));
variables.back().cast<MeasureGroup>().insert(0,NullMeasure());
// 2
variables.push_back(
MeasureGroup("Translation Variable 1",
MeasureVector(1u,RubyMeasure(toPath("translationUserScript.rb"),
FileReferenceType::OSM,
FileReferenceType::IDF,
true))));
// 3
variables.push_back(
MeasureGroup("Workspace Variable 1",
MeasureVector(1u,RubyMeasure(toPath("workspaceUserScript.rb"),
FileReferenceType::IDF,
FileReferenceType::IDF,
true))));
variables.back().cast<MeasureGroup>().insert(0,NullMeasure());
runmanager::Workflow workflow;
workflow.addJob(runmanager::JobType::EnergyPlus);
Problem problem("Problem",variables,workflow);
// create measure to be pushed onto a variable
openstudio::path dir = resourcesPath() / toPath("/utilities/BCL/Measures/v2/SetWindowToWallRatioByFacade");
BCLMeasure bclMeasure = BCLMeasure::load(dir).get();
EXPECT_EQ(FileReferenceType(FileReferenceType::OSM),bclMeasure.inputFileType());
EXPECT_EQ(FileReferenceType(FileReferenceType::OSM),bclMeasure.outputFileType());
RubyMeasure measure(bclMeasure);
ASSERT_EQ(3,problem.numVariables());
// can be added to variable 0 (OSM)
WorkflowStep step = problem.workflow()[0];
InputVariable var = step.inputVariable();
EXPECT_EQ(2u,var.cast<MeasureGroup>().numMeasures(false));
EXPECT_TRUE(problem.fileTypesAreCompatible(step,
measure.inputFileType(),
measure.outputFileType()));
EXPECT_TRUE(var.cast<MeasureGroup>().push(measure));
EXPECT_EQ(3u,var.cast<MeasureGroup>().numMeasures(false));
// cannot be added to variable 1 (translation)
step = problem.workflow()[1];
var = step.inputVariable();
EXPECT_EQ(1u,var.cast<MeasureGroup>().numMeasures(false));
EXPECT_FALSE(problem.fileTypesAreCompatible(step,
measure.inputFileType(),
measure.outputFileType()));
EXPECT_FALSE(var.cast<MeasureGroup>().push(measure));
EXPECT_EQ(1u,var.cast<MeasureGroup>().numMeasures(false));
// cannot be added to variable 2 (IDF)
step = problem.variables()[2];
var = step.inputVariable();
EXPECT_EQ(2u,var.cast<MeasureGroup>().numMeasures(false));
EXPECT_FALSE(problem.fileTypesAreCompatible(step,
measure.inputFileType(),
measure.outputFileType()));
EXPECT_FALSE(var.cast<MeasureGroup>().push(measure));
EXPECT_EQ(2u,var.cast<MeasureGroup>().numMeasures(false));
}