Program Listing for File degree_distribution.cc
↰ Return to documentation for file (src/sparsebase/feature/degree_distribution.cc
)
#include "sparsebase/feature/degree_distribution.h"
#include <memory>
#include <tuple>
#include <unordered_map>
#include <utility>
#include <vector>
#include "sparsebase/utils/parameterizable.h"
namespace sparsebase::feature {
template <typename IDType, typename NNZType, typename ValueType,
typename FeatureType>
DegreeDistribution<IDType, NNZType, ValueType,
FeatureType>::DegreeDistribution() {
Register();
this->params_ =
std::shared_ptr<DegreeDistributionParams>(new DegreeDistributionParams());
this->pmap_.insert({get_id_static(), this->params_});
}
template <typename IDType, typename NNZType, typename ValueType,
typename FeatureType>
DegreeDistribution<IDType, NNZType, ValueType, FeatureType>::DegreeDistribution(
DegreeDistributionParams params) {
DegreeDistribution();
}
template <typename IDType, typename NNZType, typename ValueType,
typename FeatureType>
DegreeDistribution<IDType, NNZType, ValueType, FeatureType>::DegreeDistribution(
const DegreeDistribution &d) {
Register();
this->params_ = d.params_;
this->pmap_ = d.pmap_;
}
template <typename IDType, typename NNZType, typename ValueType,
typename FeatureType>
DegreeDistribution<IDType, NNZType, ValueType, FeatureType>::DegreeDistribution(
const std::shared_ptr<DegreeDistributionParams> p) {
Register();
this->params_ = p;
this->pmap_[get_id_static()] = p;
}
template <typename IDType, typename NNZType, typename ValueType,
typename FeatureType>
void DegreeDistribution<IDType, NNZType, ValueType, FeatureType>::Register() {
this->RegisterFunction(
{format::CSR<IDType, NNZType, ValueType>::get_id_static()},
GetDegreeDistributionCSR);
}
template <typename IDType, typename NNZType, typename ValueType,
typename FeatureType>
std::unordered_map<std::type_index, std::any>
DegreeDistribution<IDType, NNZType, ValueType, FeatureType>::Extract(
format::Format *format, std::vector<context::Context *> c,
bool convert_input) {
return {{this->get_id(), std::forward<FeatureType *>(
GetDistribution(format, c, convert_input))}};
};
template <typename IDType, typename NNZType, typename ValueType,
typename FeatureType>
std::vector<std::type_index>
DegreeDistribution<IDType, NNZType, ValueType, FeatureType>::get_sub_ids() {
return {typeid(DegreeDistribution<IDType, NNZType, ValueType, FeatureType>)};
}
template <typename IDType, typename NNZType, typename ValueType,
typename FeatureType>
std::vector<utils::Extractable *>
DegreeDistribution<IDType, NNZType, ValueType, FeatureType>::get_subs() {
return {
new DegreeDistribution<IDType, NNZType, ValueType, FeatureType>(*this)};
}
template <typename IDType, typename NNZType, typename ValueType,
typename FeatureType>
std::type_index
DegreeDistribution<IDType, NNZType, ValueType, FeatureType>::get_id_static() {
return typeid(DegreeDistribution<IDType, NNZType, ValueType, FeatureType>);
}
template <typename IDType, typename NNZType, typename ValueType,
typename FeatureType>
DegreeDistribution<IDType, NNZType, ValueType,
FeatureType>::~DegreeDistribution() = default;
template <typename IDType, typename NNZType, typename ValueType,
typename FeatureType>
std::tuple<std::vector<std::vector<format::Format *>>, FeatureType *>
DegreeDistribution<IDType, NNZType, ValueType, FeatureType>::
GetDistributionCached(format::Format *format,
std::vector<context::Context *> contexts,
bool convert_input) {
// std::tuple<DegreeDistributionFunction<IDType, NNZType, ValueType,
// FeatureType>,
// std::vector<SparseFormat<IDType, NNZType, ValueType> *>>
// func_formats =
// DegreeDistributionFunction<IDType, NNZType, ValueType, FeatureType> func =
// std::get<0>(func_formats); std::vector<SparseFormat<IDType, NNZType,
// ValueType> *> sfs = std::get<1>(func_formats);
DegreeDistributionParams params;
return this->CachedExecute(¶ms, contexts, convert_input, false,
format); // func(sfs, this->params_.get());
}
template <typename IDType, typename NNZType, typename ValueType,
typename FeatureType>
FeatureType *
DegreeDistribution<IDType, NNZType, ValueType, FeatureType>::GetDistribution(
format::Format *format, std::vector<context::Context *> contexts,
bool convert_input) {
// std::tuple<DegreeDistributionFunction<IDType, NNZType, ValueType,
// FeatureType>,
// std::vector<SparseFormat<IDType, NNZType, ValueType> *>>
// func_formats =
// DegreeDistributionFunction<IDType, NNZType, ValueType, FeatureType> func =
// std::get<0>(func_formats); std::vector<SparseFormat<IDType, NNZType,
// ValueType> *> sfs = std::get<1>(func_formats);
DegreeDistributionParams params;
return this->Execute(¶ms, contexts, convert_input,
format); // func(sfs, this->params_.get());
}
template <typename IDType, typename NNZType, typename ValueType,
typename FeatureType>
FeatureType *
DegreeDistribution<IDType, NNZType, ValueType, FeatureType>::GetDistribution(
object::Graph<IDType, NNZType, ValueType> *obj,
std::vector<context::Context *> contexts, bool convert_input) {
// std::tuple<DegreeDistributionFunction<IDType, NNZType, ValueType,
// FeatureType>,
// std::vector<SparseFormat<IDType, NNZType, ValueType> *>>
// func_formats =
// DegreeDistributionFunction<IDType, NNZType, ValueType, FeatureType> func =
// std::get<0>(func_formats); std::vector<SparseFormat<IDType, NNZType,
// ValueType> *> sfs = std::get<1>(func_formats);
format::Format *format = obj->get_connectivity();
return this->Execute(this->params_.get(), contexts, convert_input,
format); // func(sfs, this->params_.get());
}
template <typename IDType, typename NNZType, typename ValueType,
typename FeatureType>
FeatureType *DegreeDistribution<IDType, NNZType, ValueType, FeatureType>::
GetDegreeDistributionCSR(std::vector<format::Format *> formats,
utils::Parameters *params) {
auto csr = formats[0]->AsAbsolute<format::CSR<IDType, NNZType, ValueType>>();
auto dims = csr->get_dimensions();
IDType num_vertices = dims[0];
NNZType num_edges = csr->get_num_nnz();
FeatureType *dist = new FeatureType[num_vertices]();
auto *rows = csr->get_row_ptr();
for (int i = 0; i < num_vertices; i++) {
dist[i] = (rows[i + 1] - rows[i]) / (FeatureType)num_edges;
// std::cout<< dist[i] << std::endl;
}
return dist;
}
#if !defined(_HEADER_ONLY)
#include "init/degree_distribution.inc"
#endif
} // namespace sparsebase::feature