inline PresetChooser::iterator PresetChooser::weightedRandom(bool hardCut) const {
// TODO make a sophisticated function object interface to determine why a certain rating
// category is chosen, or weighted distribution thereover.
const PresetRatingType ratingType = hardCut || (!_softCutRatingsEnabled) ?
HARD_CUT_RATING_TYPE : SOFT_CUT_RATING_TYPE;
const std::size_t ratingsTypeIndex = static_cast<std::size_t>(ratingType);
const std::vector<int> & weights = _presetLoader->getPresetRatings()[ratingsTypeIndex];
const std::size_t index = RandomNumberGenerators::weightedRandom
(weights,
_presetLoader->getPresetRatingsSums()[ratingsTypeIndex]);
return begin(index);
}
inline PresetChooser::iterator PresetChooser::weightedRandom() const {
std::size_t index = RandomNumberGenerators::weightedRandom
(m_presetLoader->getPresetRatings(), m_presetLoader->getPresetRatingsSum());
return begin(index);
}
inline std::auto_ptr<Preset> PresetChooser::directoryIndex(std::size_t index, PresetInputs & presetInputs,
PresetOutputs & presetOutputs) const {
return m_presetLoader->loadPreset(index, presetInputs, presetOutputs);
}
inline bool PresetChooser::empty() const {
return m_presetLoader->getNumPresets() == 0;
}
inline PresetIterator PresetChooser::end() const {
PresetIterator pos(m_presetLoader->getNumPresets());
pos.setChooser(*this);
return pos;
}
inline std::size_t PresetChooser::getNumPresets() const {
return m_presetLoader->getNumPresets();
}
inline std::unique_ptr<Preset> PresetChooser::directoryIndex(std::size_t index) const {
return _presetLoader->loadPreset(index);
}
inline bool PresetChooser::empty() const {
return _presetLoader->size() == 0;
}
inline PresetIterator PresetChooser::end() const {
PresetIterator pos(_presetLoader->size());
pos.setChooser(*this);
return pos;
}
inline std::size_t PresetChooser::size() const {
return _presetLoader->size();
}
