void PluginLoader::execute(const Configuration & cfg) {
Setting files = cfg.setting["plugin_files"];
size_t n = files.size();
for (size_t i = 0; i < n; i++) {
std::string filename = utils::replace_theta_dir(files[i]);
load(filename);
}
}
void SettingUsageRecorder::get_unused(std::vector<std::string> & unused, const Setting & aggregate_setting) const{
size_t n = aggregate_setting.size();
for(size_t i=0; i<n; ++i){
std::string path = aggregate_setting[i].get_path();
bool a_unused = false;
if(used_paths.find(path) == used_paths.end()){
unused.push_back(path);
a_unused = true;
}
//don't descend if already aggregate was reported as unused ...
if((aggregate_setting[i].get_type() == Setting::TypeList || aggregate_setting[i].get_type() == Setting::TypeGroup) && !a_unused){
get_unused(unused, aggregate_setting[i]);
}
}
}
cubiclinear_histomorph::cubiclinear_histomorph(const Configuration & ctx): normalize_to_nominal(false) {
boost::shared_ptr<VarIdManager> vm = ctx.pm->get<VarIdManager>();
//build nominal histogram:
h0_wu = get_constant_histogram(Configuration(ctx, ctx.setting["nominal-histogram"]));
h0 = h0_wu.get_values_histogram();
if(ctx.setting.exists("normalize_to_nominal")){
normalize_to_nominal = ctx.setting["normalize_to_nominal"];
}
Setting psetting = ctx.setting["parameters"];
size_t n = psetting.size();
parameter_factors.resize(n, 1.0);
bool have_parameter_factors = ctx.setting.exists("parameter_factors");
for(size_t i=0; i<n; i++){
string par_name = psetting[i];
ParId pid = vm->get_par_id(par_name);
par_ids.insert(pid);
vid.push_back(pid);
string setting_name;
//plus:
setting_name = par_name + "-plus-histogram";
hplus_diff.push_back(get_constant_histogram(Configuration(ctx, ctx.setting[setting_name])).get_values_histogram());
hplus_diff.back().check_compatibility(h0);
hplus_diff.back().add_with_coeff(-1.0, h0);
//minus:
setting_name = par_name + "-minus-histogram";
hminus_diff.push_back(get_constant_histogram(Configuration(ctx, ctx.setting[setting_name])).get_values_histogram());
hminus_diff.back().check_compatibility(h0);
hminus_diff.back().add_with_coeff(-1.0, h0);
sum.push_back(hplus_diff.back());
sum.back() += hminus_diff.back();
diff.push_back(hplus_diff.back());
diff.back().add_with_coeff(-1, hminus_diff.back());
if(have_parameter_factors){
parameter_factors[i] = ctx.setting["parameter_factors"][i];
}
}
h0_sum = 0;
for(size_t i=0; i < h0.get_nbins(); ++i){
h0_sum += h0.get(i);
}
}
