aboutsummaryrefslogtreecommitdiffstats
path: root/lib/gain_handler.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'lib/gain_handler.cpp')
-rw-r--r--lib/gain_handler.cpp31
1 files changed, 18 insertions, 13 deletions
diff --git a/lib/gain_handler.cpp b/lib/gain_handler.cpp
index 85cacd2a5..b03d5bda2 100644
--- a/lib/gain_handler.cpp
+++ b/lib/gain_handler.cpp
@@ -72,35 +72,40 @@ void gain_handler::_check_key(const wax::obj &key_){
catch(const std::assert_error &){}
}
+static gain_t gain_max(gain_t a, gain_t b){
+ return std::max(a, b);
+}
+static gain_t gain_sum(gain_t a, gain_t b){
+ return std::sum(a, b);
+}
+
bool gain_handler::intercept_get(const wax::obj &key, wax::obj &val){
_check_key(key); //verify the key
- // use a vector of tuples to map properties to a reducer function
- // we cant use a map because the wax::obj cant be sorted
- typedef boost::function<gain_t(gain_t, gain_t)> reducer_t;
- typedef boost::tuple<wax::obj, reducer_t> tuple_t;
- reducer_t reducer_sum = boost::bind(std::sum<gain_t>, _1, _2);
- reducer_t reducer_max = boost::bind(std::max<gain_t>, _1, _2);
- std::vector<tuple_t> prop_to_reducer = boost::assign::tuple_list_of
- (_gain_prop, reducer_sum)(_gain_min_prop, reducer_sum)
- (_gain_max_prop, reducer_sum)(_gain_step_prop, reducer_max);
+ std::vector<wax::obj> gain_props = boost::assign::list_of
+ (_gain_prop)(_gain_min_prop)(_gain_max_prop)(_gain_step_prop);
/*!
* Handle getting overall gains when a name is not specified.
* For the gain props below, set the overall value and return true.
*/
- BOOST_FOREACH(tuple_t p2r, prop_to_reducer){
- if (_is_equal(key, p2r.get<0>())){
+ BOOST_FOREACH(wax::obj prop_key, gain_props){
+ if (_is_equal(key, prop_key)){
//form the gains vector from the props vector
prop_names_t prop_names = GET_PROP_NAMES();
std::vector<gain_t> gains(prop_names.size());
std::transform(
prop_names.begin(), prop_names.end(), gains.begin(),
- boost::bind(get_named_gain, _wax_obj_ptr, p2r.get<0>(), _1)
+ boost::bind(get_named_gain, _wax_obj_ptr, key, _1)
);
//reduce across the gain vector
- val = std::reduce<gain_t>(gains.begin(), gains.end(), p2r.get<1>());
+ if (_is_equal(key, _gain_step_prop)){
+ val = std::reduce<gain_t>(gains.begin(), gains.end(), gain_max);
+ }
+ else{
+ val = std::reduce<gain_t>(gains.begin(), gains.end(), gain_sum);
+ }
return true;
}
}