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Dev/rosenblatttransform (#241)

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- added rosenblatttransform 
- added 3x3 eta methods 
- interpolation can be used with various eta functions
- added documentation for interpolation, eta calculation 
- exposed full eta struct in python 
- disable ClusterFinder for 2x2 clusters 
- factory function for ClusterVector

---------

Co-authored-by: Dhanya Thattil <dhanya.thattil@psi.ch>
Co-authored-by: Erik Fröjdh <erik.frojdh@psi.ch>
This commit is contained in:
mazzol_a
2025-11-21 14:48:46 +01:00
committed by GitHub
parent 7fb500c44c
commit 267ca87ab0
49 changed files with 3253 additions and 1172 deletions
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8
benchmarks/reduce_benchmark.cpp
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@@ -33,8 +33,8 @@ class ClustersForReduceFixture : public benchmark::Fixture {
};
template <typename T>
Cluster<T, 3, 3, int16_t> reduce_to_3x3(const Cluster<T, 5, 5, int16_t> &c) {
Cluster<T, 3, 3, int16_t> result;
Cluster<T, 3, 3, uint16_t> reduce_to_3x3(const Cluster<T, 5, 5, uint16_t> &c) {
Cluster<T, 3, 3, uint16_t> result;
// Write out the sums in the hope that the compiler can optimize this
std::array<T, 9> sum_3x3_subclusters;
@@ -140,7 +140,7 @@ Cluster<T, 3, 3, int16_t> reduce_to_3x3(const Cluster<T, 5, 5, int16_t> &c) {
BENCHMARK_F(ClustersForReduceFixture, Reduce2x2)(benchmark::State &st) {
for (auto _ : st) {
// This code gets timed
benchmark::DoNotOptimize(reduce_to_2x2<int, 3, 3, int16_t>(
benchmark::DoNotOptimize(reduce_to_2x2<int, 3, 3, uint16_t>(
cluster_3x3)); // make sure compiler evaluates the expression
}
}
@@ -156,7 +156,7 @@ BENCHMARK_F(ClustersForReduceFixture, Reduce3x3)(benchmark::State &st) {
for (auto _ : st) {
// This code gets timed
benchmark::DoNotOptimize(
reduce_to_3x3<int, 5, 5, int16_t>(cluster_5x5));
reduce_to_3x3<int, 5, 5, uint16_t>(cluster_5x5));
}
}