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/*!
@authors Andrei Novikov (pyclustering@yandex.ru)
@date 2014-2020
@copyright BSD-3-Clause
*/
#include <gtest/gtest.h>
#include <pyclustering/cluster/hsyncnet.hpp>
using namespace pyclustering::clst;
static void template_cluster_allocation(const unsigned int number_clusters) {
bool result_testing = false;
for (unsigned int i = 0; i < 3; i++) {
std::vector<std::vector<double> > sample;
sample.push_back( { 0.1, 0.1 } );
sample.push_back( { 1.2, 1.1 } );
sample.push_back( { 5.0, 5.0 } );
sample.push_back( { 10.2, 10.1 } );
sample.push_back( { 11.3, 11.0 } );
sample.push_back( { 15.1, 15.4 } );
hsyncnet network(&sample, number_clusters, initial_type::EQUIPARTITION);
hsyncnet_analyser analyser;
network.process(0.998, solve_type::FORWARD_EULER, true, analyser);
hsyncnet_cluster_data ensembles;
analyser.allocate_clusters(0.1, ensembles);
if (number_clusters != ensembles.size()) {
continue;
}
result_testing = true;
}
ASSERT_TRUE(result_testing);
}
TEST(utest_hsyncnet, allocation_2_clusters) {
template_cluster_allocation(2);
}
#ifndef VALGRIND_ANALYSIS_SHOCK
TEST(utest_hsyncnet, allocation_1_clusters) {
template_cluster_allocation(1);
}
#endif
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