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-rw-r--r--lib/core/c++/math/n_linear.hpp76
1 files changed, 73 insertions, 3 deletions
diff --git a/lib/core/c++/math/n_linear.hpp b/lib/core/c++/math/n_linear.hpp
index 4f47965..bb7653c 100644
--- a/lib/core/c++/math/n_linear.hpp
+++ b/lib/core/c++/math/n_linear.hpp
@@ -1,12 +1,51 @@
#pragma once
#include "../common.hpp"
+#include "../iterator.hpp"
namespace kel {
namespace lbm {
+namespace impl {
+template<typename FieldSchema, typename T, uint64_t D>
+struct n_linear_interpolate_helper final {
+ template<uint64_t i = 0u>
+ auto apply(const saw::data<FieldSchema>& field, const saw::data<sch::Vector<T,D>>& pos){
+ return pos;
+ }
+};
+}
+
+template<typename T, uint64_t D>
+saw::data<sch::Tuple<sch::Vector<sch::UInt64,D>,sch::Vector<T,D>>> position_to_index_and_fraction(const saw::data<sch::Vector<T,D>>& pos){
+ saw::data<sch::Tuple<sch::Vector<sch::UInt64,D>,sch::Vector<T,D>>> sep;
+
+ auto& ind = sep.template get<0u>();
+ auto& frac = sep.template get<1u>();
+
+ auto pos_cpy = pos;
+ // Guarantee that the pos is at least 0
+ for(uint64_t i = 0u; i < D; ++i){
+ pos_cpy.at({{i}}).set(std::max(pos.at({{i}}).get(), static_cast<typename saw::native_data_type<T>::type>(0)));
+ }
+
+ // Now we can cast to uint64_t
+ for(uint64_t i = 0u; i < D; ++i){
+ ind.at({{i}}) = pos_cpy.at({{i}}).template cast_to<sch::UInt64>();
+ }
+
+ frac = pos - ind.template cast_to<T>();
+
+ return sep;
+}
+
+template<typename T, uint64_t D>
+auto floor_index_from_position(const saw::data<sch::Vector<T,D>>& pos){
+ return position_to_index_and_fraction(pos).template get<0u>();
+}
template<typename FieldSchema, typename T, uint64_t D>
-auto n_linear_interpolate(const saw::data<FieldSchema>& field, const saw::data<sch::Vector<T,D>>& pos){
+auto n_linear_interpolate(
+ const saw::data<FieldSchema>& field, const saw::data<sch::Vector<T,D>>& pos){
// Pos
auto pos_bound = pos;
@@ -39,9 +78,40 @@ auto n_linear_interpolate(const saw::data<FieldSchema>& field, const saw::data<s
}
// Base value
- auto res = field.at(ind);
+ saw::data<typename FieldSchema::ValueType> res;
- constexpr uint64_t d_corners = 1ull << D;
+ // constexpr uint64_t d_corners = 1ul << D;
+
+ saw::data<sch::FixedArray<sch::UInt64,D>> ones_ind;
+ for(saw::data<sch::UInt64> i{0u}; i < saw::data<sch::UInt64>{D}; ++i){
+ ones_ind.at({i}).set(1u);
+ }
+
+ iterator<D>::apply([&](auto ind){
+ // Iterates over (0,0,0) to (1,1,1)
+ saw::data<T> weight{1.0};
+
+ for(saw::data<sch::UInt64> d{0u}; d < saw::data<sch::UInt64>{D}; ++d){
+
+ saw::data<T> t = pos_frac.at({d});
+
+ if(ind.at(d).get() == 0u){
+ weight = weight * (saw::data<T>{1} - t);
+ }else{
+ weight = weight * t;
+ }
+ }
+
+ }, {}, ones_ind);
+}
+
+template<typename FieldSchema, typename T>
+saw::data<sch::Vector<T,2u>> bilinear_interpolate(const saw::data<FieldSchema>& field, const saw::data<sch::Vector<T,2u>>& pos){
+ saw::data<sch::Vector<T,2u>> res;
+
+ {
+ }
+ return {};
}
}
}