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/*!
@authors Andrei Novikov (pyclustering@yandex.ru)
@date 2014-2020
@copyright BSD-3-Clause
*/
#include <gtest/gtest.h>
#include <pyclustering/interface/kmedians_interface.h>
#include <pyclustering/interface/pyclustering_package.hpp>
#include <pyclustering/utils/metric.hpp>
#include "utenv_utils.hpp"
#include <memory>
using namespace pyclustering;
using namespace pyclustering::utils::metric;
TEST(utest_interface_kmedians, kmedians_api) {
std::shared_ptr<pyclustering_package> sample = pack(dataset({ { 1 }, { 2 }, { 3 }, { 10 }, { 11 }, { 12 } }));
std::shared_ptr<pyclustering_package> medians = pack(dataset({ { 1 }, { 10 } }));
distance_metric<point> metric = distance_metric_factory<point>::euclidean_square();
pyclustering_package * kmedians_result = kmedians_algorithm(sample.get(), medians.get(), 0.001, 100, &metric);
ASSERT_NE(nullptr, kmedians_result);
delete kmedians_result;
}
TEST(utest_interface_kmedians, kmedians_api_null_metric) {
std::shared_ptr<pyclustering_package> sample = pack(dataset({ { 1 }, { 2 }, { 3 }, { 10 }, { 11 }, { 12 } }));
std::shared_ptr<pyclustering_package> medians = pack(dataset({ { 1 }, { 10 } }));
pyclustering_package * kmedians_result = kmedians_algorithm(sample.get(), medians.get(), 0.001, 100, nullptr);
ASSERT_NE(nullptr, kmedians_result);
delete kmedians_result;
}
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