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/*!
@authors Andrei Novikov (pyclustering@yandex.ru)
@date 2014-2020
@copyright BSD-3-Clause
*/
#include <fstream>
#include <gtest/gtest.h>
#include "utenv_check.hpp"
#include <pyclustering/container/ensemble_data.hpp>
#include <pyclustering/nnet/dynamic_analyser.hpp>
#include <pyclustering/nnet/hhn.hpp>
using namespace pyclustering::differential;
using namespace pyclustering::nnet;
static void template_create_delete(const std::size_t p_num_osc) {
hnn_parameters parameters;
hhn_network * network = new hhn_network(p_num_osc, parameters);
ASSERT_EQ(p_num_osc, network->size());
delete network;
}
TEST(utest_hhn, create_10_oscillators) {
template_create_delete(10);
}
TEST(utest_hhn, create_20_oscillators) {
template_create_delete(20);
}
TEST(utest_hhn, create_200_oscillators) {
template_create_delete(200);
}
static void template_collect_dynamic(const std::size_t p_num_osc,
const std::size_t p_steps,
const hhn_stimulus & p_stimulus,
const std::vector<hhn_dynamic::collect> & collect) {
hnn_parameters parameters;
hhn_network network(p_num_osc, parameters);
hhn_dynamic output_dynamic;
output_dynamic.disable_all();
for (auto & data_type : collect) {
output_dynamic.enable(data_type);
}
/* check collected elements */
std::set<hhn_dynamic::collect> collected_types;
output_dynamic.get_enabled(collected_types);
std::set<hhn_dynamic::collect> not_collected_types;
output_dynamic.get_disabled(not_collected_types);
ASSERT_EQ(collect.size(), collected_types.size());
ASSERT_EQ(4 - collect.size(), not_collected_types.size());
/* simulate and check collected outputs */
network.simulate(p_steps, 10, solve_type::RUNGE_KUTTA_4, p_stimulus, output_dynamic);
for (auto & data_type : collected_types) {
ASSERT_EQ(p_steps + 1, output_dynamic.get_peripheral_dynamic()->at(data_type).size());
}
for (auto & data_type : not_collected_types) {
ASSERT_EQ(0U, output_dynamic.get_central_dynamic()->at(data_type).size());
}
}
TEST(utest_hhn, collect_membran_size_1_steps_10_unstimulated) {
hhn_stimulus stimulus({ 0 });
template_collect_dynamic(1, 10, stimulus, { hhn_dynamic::collect::MEMBRANE_POTENTIAL });
}
TEST(utest_hhn, collect_membran_size_1_steps_10_stimulated) {
hhn_stimulus stimulus({ 1 });
template_collect_dynamic(1, 10, stimulus, { hhn_dynamic::collect::MEMBRANE_POTENTIAL });
}
TEST(utest_hhn, collect_active_potassium) {
hhn_stimulus stimulus({ 1 });
template_collect_dynamic(1, 10, stimulus, { hhn_dynamic::collect::ACTIVE_COND_POTASSIUM });
}
TEST(utest_hhn, collect_active_sodium) {
hhn_stimulus stimulus({ 1 });
template_collect_dynamic(1, 10, stimulus, { hhn_dynamic::collect::ACTIVE_COND_SODIUM });
}
TEST(utest_hhn, collect_inactive_sodium) {
hhn_stimulus stimulus({ 1 });
template_collect_dynamic(1, 10, stimulus, { hhn_dynamic::collect::INACTIVE_COND_SODIUM });
}
TEST(utest_hhn, collect_all_parameters) {
hhn_stimulus stimulus({ 1 });
template_collect_dynamic(1, 10, stimulus, { hhn_dynamic::collect::MEMBRANE_POTENTIAL,
hhn_dynamic::collect::ACTIVE_COND_SODIUM,
hhn_dynamic::collect::INACTIVE_COND_SODIUM,
hhn_dynamic::collect::ACTIVE_COND_POTASSIUM });
}
TEST(utest_hhn, collect_membran_size_1_steps_50) {
hhn_stimulus stimulus({ 1 });
template_collect_dynamic(1, 50, stimulus, { hhn_dynamic::collect::MEMBRANE_POTENTIAL });
}
TEST(utest_hhn, collect_membran_size_1_steps_200) {
hhn_stimulus stimulus({ 1 });
template_collect_dynamic(1, 200, stimulus, { hhn_dynamic::collect::MEMBRANE_POTENTIAL });
}
TEST(utest_hhn, collect_membran_size_5_steps_20) {
hhn_stimulus stimulus({ 10, 10, 10, 50, 50 });
template_collect_dynamic(5, 20, stimulus, { hhn_dynamic::collect::MEMBRANE_POTENTIAL });
}
TEST(utest_hhn, collect_membran_size_5_steps_50) {
hhn_stimulus stimulus({ 50, 50, 0, 10, 10 });
template_collect_dynamic(5, 50, stimulus, { hhn_dynamic::collect::MEMBRANE_POTENTIAL });
}
static void template_ensemble_generation(const std::size_t p_num_osc,
const std::size_t p_steps,
const std::size_t p_time,
const double p_tolerance,
const hhn_stimulus & p_stimulus,
basic_ensemble_data & p_expected_ensembles,
basic_ensemble & p_expected_dead_neurons)
{
const std::size_t attempts = 3;
bool result = false;
for (std::size_t i = 0; (i < attempts) && (result != true); i++) {
hnn_parameters parameters;
hhn_network network(p_num_osc, parameters);
hhn_dynamic output_dynamic;
output_dynamic.enable(hhn_dynamic::collect::MEMBRANE_POTENTIAL);
/* simulate and check collected outputs */
network.simulate(p_steps, (double) p_time, solve_type::RUNGE_KUTTA_4, p_stimulus, output_dynamic);
basic_ensemble_data ensembles;
basic_ensemble dead_neurons;
hhn_dynamic::evolution_dynamic & membrane_dynamic = output_dynamic.get_peripheral_dynamic(hhn_dynamic::collect::MEMBRANE_POTENTIAL);
dynamic_analyser(p_tolerance).allocate_sync_ensembles(membrane_dynamic, ensembles, dead_neurons);
if ( !COMPARE_SYNC_ENSEMBLES(ensembles, p_expected_ensembles, dead_neurons, p_expected_dead_neurons) ) {
continue;
}
result = true;
}
EXPECT_TRUE(result);
}
TEST(utest_hhn, one_without_stimulation) {
basic_ensemble_data expected_ensembles = { };
basic_ensemble dead_neurons = { 0 };
template_ensemble_generation(1, 400, 100, 0.0, { 0 }, expected_ensembles, dead_neurons);
}
TEST(utest_hhn, one_with_stimulation) {
basic_ensemble_data expected_ensembles = { { 0 } };
basic_ensemble dead_neurons = { };
template_ensemble_generation(1, 400, 100, 0.0, { 25 }, expected_ensembles, dead_neurons);
}
TEST(utest_hhn, global_sync) {
basic_ensemble_data expected_ensembles = { { 0, 1, 2 } };
basic_ensemble dead_neurons = { };
template_ensemble_generation(3, 300, 50, 0.0, { 27, 27, 27 }, expected_ensembles, dead_neurons);
}
TEST(utest_hhn, without_stimulation) {
basic_ensemble_data expected_ensembles = { };
basic_ensemble dead_neurons = { 0, 1, 2 };
template_ensemble_generation(3, 400, 100, 0.0, { 0, 0, 0 }, expected_ensembles, dead_neurons);
}
TEST(utest_hhn, one_with_one_without_stimulation) {
basic_ensemble_data expected_ensembles = { { 1 } };
basic_ensemble dead_neurons = { 0 };
template_ensemble_generation(2, 400, 100, 0.0, { 0, 25 }, expected_ensembles, dead_neurons);
}
#ifndef VALGRIND_ANALYSIS_SHOCK
TEST(utest_hhn, two_sync_ensembles_01) {
basic_ensemble_data expected_ensembles = { { 0, 1 }, { 2, 3 } };
basic_ensemble dead_neurons = { };
template_ensemble_generation(4, 800, 200, 0.1, { 20, 20, 80, 80 }, expected_ensembles, dead_neurons);
}
TEST(utest_hhn, two_sync_ensembles_02) {
basic_ensemble_data expected_ensembles = { { 0, 1, 2 }, { 3, 4, 5 } };
basic_ensemble dead_neurons = { };
template_ensemble_generation(6, 800, 200, 0.1, { 20, 20, 20, 50, 50, 50 }, expected_ensembles, dead_neurons);
}
#endif
static void template_write_read_dynamic(const std::size_t p_num_osc,
const std::size_t p_steps,
const std::size_t p_time,
const hhn_stimulus & p_stimulus,
const std::vector<hhn_dynamic::collect> & p_enables)
{
hnn_parameters parameters;
hhn_network network(p_num_osc, parameters);
hhn_dynamic output_dynamic;
output_dynamic.disable_all();
output_dynamic.enable(p_enables);
/* simulate and check collected outputs */
network.simulate(p_steps, (double) p_time, solve_type::RUNGE_KUTTA_4, p_stimulus, output_dynamic);
const std::string filename = "utest_dynamic_storage.txt";
std::ofstream output_file(filename);
output_file << output_dynamic;
output_file.close();
hhn_dynamic loaded_dynamic;
hhn_dynamic_reader(filename).read(loaded_dynamic);
ASSERT_EQ(output_dynamic.size_dynamic(), loaded_dynamic.size_dynamic());
ASSERT_EQ(output_dynamic.size_network(), loaded_dynamic.size_network());
std::stringstream text_dynamic_original;
std::stringstream text_dynamic_obtained;
text_dynamic_original << output_dynamic;
text_dynamic_obtained << loaded_dynamic;
ASSERT_EQ(text_dynamic_original.str(), text_dynamic_obtained.str());
}
TEST(utest_hhn, wr_one_oscillator) {
std::vector<hhn_dynamic::collect> enables = { hhn_dynamic::collect::MEMBRANE_POTENTIAL };
template_write_read_dynamic(1, 20, 1, { 40 }, enables);
}
TEST(utest_hhn, wr_two_oscillators) {
std::vector<hhn_dynamic::collect> enables = { hhn_dynamic::collect::MEMBRANE_POTENTIAL };
template_write_read_dynamic(2, 30, 1, { 40, 20 }, enables);
}
#ifndef VALGRIND_ANALYSIS_SHOCK
TEST(utest_hhn, wr_ten_oscillators) {
std::vector<hhn_dynamic::collect> enables = { hhn_dynamic::collect::MEMBRANE_POTENTIAL };
template_write_read_dynamic(10, 100, 10, { 10, 10, 10, 12, 12, 12, 20, 20, 20, 20 }, enables);
}
TEST(utest_hhn, wr_full_dynamic_collection) {
std::vector<hhn_dynamic::collect> enables = {
hhn_dynamic::collect::MEMBRANE_POTENTIAL,
hhn_dynamic::collect::ACTIVE_COND_SODIUM,
hhn_dynamic::collect::INACTIVE_COND_SODIUM,
hhn_dynamic::collect::ACTIVE_COND_POTASSIUM
};
template_write_read_dynamic(2, 50, 2, { 40, 20 }, enables);
}
TEST(utest_hhn, wr_specific_dynamic_collection) {
std::vector<hhn_dynamic::collect> enables = {
hhn_dynamic::collect::MEMBRANE_POTENTIAL,
hhn_dynamic::collect::ACTIVE_COND_POTASSIUM
};
template_write_read_dynamic(4, 50, 3, { 40, 20, 70, 120 }, enables);
}
#endif
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