1 files changed, 6 insertions, 18 deletions

diff --git a/src/sample_selection.cc b/src/sample_selection.cc
index ce50cfa..d4f78d7 100644
--- a/src/sample_selection.cc
+++ b/src/sample_selection.cc
@@ -62,15 +62,6 @@ const Sample* SampleSelection::get(level_t level, std::size_t pos)
 		return nullptr; // No samples to choose from.
 	}
 
-	auto power_max = powerlist.getMaxPower();
-	auto power_min = powerlist.getMinPower();
-	float power_span = power_max - power_min;
-
-	float mean = level - .5f/127.f; // XXX: this should actually be done when reading the events
-	float stddev = settings.velocity_stddev.load();
-	// the 20.0f we determined empirically
-	float lvl = power_min + rand.normalDistribution(mean, stddev / 20.0f) * power_span;
-
 	std::size_t index_opt = 0;
 	float power_opt{0.f};
 	float value_opt{std::numeric_limits<float>::max()};
@@ -79,20 +70,17 @@ const Sample* SampleSelection::get(level_t level, std::size_t pos)
 	float close_opt = 0.;
 	float diverse_opt = 0.;
 
-	DEBUG(rand, "level: %f, lvl: %f (mean: %.2f, stddev: %.2f,"
-		"power_min: %f, power_max: %f)\n", level, lvl, mean, stddev, power_min, power_max);
-
 	const float f_close = settings.sample_selection_f_close.load();
 	const float f_diverse = settings.sample_selection_f_diverse.load();
 	const float f_random = settings.sample_selection_f_random.load();
 
 	// start with most promising power value and then stop when reaching far values
 	// which cannot become opt anymore
-	auto closest_it = std::lower_bound(samples.begin(), samples.end(), lvl);
+	auto closest_it = std::lower_bound(samples.begin(), samples.end(), level);
 	std::size_t up_index = std::distance(samples.begin(), closest_it);
 	std::size_t down_index = (up_index == 0 ? 0 : up_index - 1);
-	float up_value_lb = (up_index < samples.size() ? f_close*pow2(samples[up_index].power-lvl) : std::numeric_limits<float>::max());
-	float down_value_lb = (up_index != 0 ? f_close*pow2(samples[down_index].power-lvl) : std::numeric_limits<float>::max());
+	float up_value_lb = (up_index < samples.size() ? f_close*pow2(samples[up_index].power-level) : std::numeric_limits<float>::max());
+	float down_value_lb = (up_index != 0 ? f_close*pow2(samples[down_index].power-level) : std::numeric_limits<float>::max());
 
 	std::size_t count = 0;
 	do
@@ -104,7 +92,7 @@ const Sample* SampleSelection::get(level_t level, std::size_t pos)
 			if (up_index != samples.size()-1)
 			{
 				++up_index;
-				up_value_lb = f_close*pow2(samples[up_index].power-lvl);
+				up_value_lb = f_close*pow2(samples[up_index].power-level);
 			}
 			else
 			{
@@ -117,7 +105,7 @@ const Sample* SampleSelection::get(level_t level, std::size_t pos)
 			if (down_index != 0)
 			{
 				--down_index;
-				down_value_lb = f_close*pow2(samples[down_index].power-lvl);
+				down_value_lb = f_close*pow2(samples[down_index].power-level);
 			}
 			else
 			{
@@ -126,7 +114,7 @@ const Sample* SampleSelection::get(level_t level, std::size_t pos)
 		}
 
 		auto random = rand.floatInRange(0.,1.);
-		auto close = samples[current_index].power - lvl;
+		auto close = samples[current_index].power - level;
 		auto diverse = (float)settings.samplerate/std::max<std::size_t>(pos - last[current_index], 1);
 		auto value = f_close*pow2(close) + f_diverse*pow2(diverse) + f_random*random;