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/*!
@authors Andrei Novikov (pyclustering@yandex.ru)
@date 2014-2020
@copyright BSD-3-Clause
*/
#include <gtest/gtest.h>
#include <pyclustering/nnet/pcnn.hpp>
#include <algorithm>
#include <unordered_set>
using namespace pyclustering::nnet;
static void template_dynamic_generation_runner(
pcnn & network,
const std::size_t steps,
const connection_t type_conn,
const pcnn_stimulus & stimulus)
{
pcnn_dynamic dynamic;
network.simulate(steps, stimulus, dynamic);
ASSERT_EQ(steps, dynamic.size());
/* check that each iteration of output dynamic has states for the same number of oscillators */
for (std::size_t index = 0; index < network.size(); index++) {
ASSERT_EQ(network.size(), dynamic[index].m_output.size());
ASSERT_EQ(network.size(), dynamic.at(index).size());
}
pcnn_time_signal time_signal;
dynamic.allocate_time_signal(time_signal);
ASSERT_EQ(steps, time_signal.size());
}
static void template_dynamic_generation(
const size_t num_osc,
const unsigned int steps,
const connection_t type_conn,
const pcnn_stimulus & stimulus)
{
pcnn_parameters parameters;
pcnn network(num_osc, type_conn, parameters);
template_dynamic_generation_runner(network, steps, type_conn, stimulus);
}
static void template_rectangle_network_dynamic_generation(
const size_t num_osc,
const unsigned int steps,
const connection_t type_conn,
const size_t height,
const size_t width,
const pcnn_stimulus & stimulus)
{
pcnn_parameters parameters;
pcnn network(num_osc, type_conn, height, width, parameters);
template_dynamic_generation_runner(network, steps, type_conn, stimulus);
}
TEST(utest_pcnn, create_delete) {
pcnn_parameters parameters;
pcnn * network = new pcnn(100, connection_t::CONNECTION_ALL_TO_ALL, parameters);
ASSERT_EQ(100U, network->size());
delete network;
}
TEST(utest_pcnn, dynamic_generation_none_connections) {
pcnn_stimulus stimulus { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
template_dynamic_generation(stimulus.size(), 20, connection_t::CONNECTION_NONE, stimulus);
}
TEST(utest_pcnn, dynamic_generation_grid_four_connections) {
pcnn_stimulus stimulus { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
template_dynamic_generation(stimulus.size(), 20, connection_t::CONNECTION_GRID_FOUR, stimulus);
}
TEST(utest_pcnn, dynamic_generation_grid_four_rectangle_connections) {
pcnn_stimulus stimulus{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
template_rectangle_network_dynamic_generation(stimulus.size(), 20, connection_t::CONNECTION_GRID_FOUR, 2, 8, stimulus);
}
TEST(utest_pcnn, dynamic_generation_grid_eight_connections) {
pcnn_stimulus stimulus { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
template_dynamic_generation(stimulus.size(), 20, connection_t::CONNECTION_GRID_EIGHT, stimulus);
}
TEST(utest_pcnn, dynamic_generation_grid_eight_rectangle_connections) {
pcnn_stimulus stimulus{ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
template_rectangle_network_dynamic_generation(stimulus.size(), 20, connection_t::CONNECTION_GRID_EIGHT, 8, 2, stimulus);
}
TEST(utest_pcnn, dynamic_generation_bidir_list_connections) {
pcnn_stimulus stimulus { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
template_dynamic_generation(stimulus.size(), 20, connection_t::CONNECTION_LIST_BIDIRECTIONAL, stimulus);
}
TEST(utest_pcnn, dynamic_generation_all_to_all_connections) {
pcnn_stimulus stimulus { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
template_dynamic_generation(stimulus.size(), 20, connection_t::CONNECTION_ALL_TO_ALL, stimulus);
}
TEST(utest_pcnn, dynamic_none_connections_stimulated) {
pcnn_stimulus stimulus { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 };
template_dynamic_generation(stimulus.size(), 20, connection_t::CONNECTION_NONE, stimulus);
}
TEST(utest_pcnn, dynamic_grid_four_connections_stimulated) {
pcnn_stimulus stimulus { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 };
template_dynamic_generation(stimulus.size(), 20, connection_t::CONNECTION_GRID_FOUR, stimulus);
}
TEST(utest_pcnn, dynamic_grid_four_connections_rectangle_stimulated) {
pcnn_stimulus stimulus{ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 };
template_rectangle_network_dynamic_generation(stimulus.size(), 20, connection_t::CONNECTION_GRID_FOUR, 2, 8, stimulus);
}
TEST(utest_pcnn, dynamic_grid_eight_connections_stimulated) {
pcnn_stimulus stimulus { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 };
template_dynamic_generation(stimulus.size(), 20, connection_t::CONNECTION_GRID_EIGHT, stimulus);
}
TEST(utest_pcnn, dynamic_grid_eight_connections_rectangle_stimulated) {
pcnn_stimulus stimulus{ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 };
template_rectangle_network_dynamic_generation(stimulus.size(), 20, connection_t::CONNECTION_GRID_EIGHT, 8, 2, stimulus);
}
TEST(utest_pcnn, dynamic_bidir_list_connections_stimulated) {
pcnn_stimulus stimulus { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 };
template_dynamic_generation(stimulus.size(), 20, connection_t::CONNECTION_LIST_BIDIRECTIONAL, stimulus);
}
TEST(utest_pcnn, dynamic_all_to_all_connections_stimulated) {
pcnn_stimulus stimulus { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 };
template_dynamic_generation(stimulus.size(), 20, connection_t::CONNECTION_ALL_TO_ALL, stimulus);
}
static void template_output_activity(
const size_t num_osc,
const unsigned int steps,
const connection_t type_conn,
const pcnn_stimulus & stimulus,
const bool activity_requirement,
const pcnn_parameters * const params = nullptr)
{
pcnn_parameters parameters;
if (params != nullptr) {
parameters = *params;
}
pcnn network(num_osc, type_conn, parameters);
pcnn_dynamic dynamic;
network.simulate(steps, stimulus, dynamic);
ensemble_data<pcnn_ensemble> sync_ensembles;
ensemble_data<pcnn_ensemble> spike_ensembles;
pcnn_time_signal time_signal;
dynamic.allocate_sync_ensembles(sync_ensembles);
dynamic.allocate_spike_ensembles(spike_ensembles);
dynamic.allocate_time_signal(time_signal);
ASSERT_EQ(steps, dynamic.size());
/* check time signal for activity */
bool output_activity = false;
for (size_t i = 0; i < time_signal.size(); i++) {
if (time_signal[i] > 0) {
output_activity = true;
break;
}
}
ASSERT_EQ(activity_requirement, output_activity);
/* if activity exists in time signal then at least one ensemble should be */
ASSERT_EQ(activity_requirement, (sync_ensembles.size() > 0));
ASSERT_EQ(activity_requirement, (spike_ensembles.size() > 0));
}
TEST(utest_pcnn, no_output_activity) {
pcnn_stimulus stimulus { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_ALL_TO_ALL, stimulus, false);
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_GRID_EIGHT, stimulus, false);
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_GRID_FOUR, stimulus, false);
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_LIST_BIDIRECTIONAL, stimulus, false);
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_NONE, stimulus, false);
}
TEST(utest_pcnn, output_activity_full_stimulated) {
pcnn_stimulus stimulus { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 };
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_ALL_TO_ALL, stimulus, true);
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_GRID_EIGHT, stimulus, true);
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_GRID_FOUR, stimulus, true);
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_LIST_BIDIRECTIONAL, stimulus, true);
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_NONE, stimulus, true);
}
TEST(utest_pcnn, output_activity_partial_stimulated) {
pcnn_stimulus stimulus { 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0 };
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_ALL_TO_ALL, stimulus, true);
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_GRID_EIGHT, stimulus, true);
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_GRID_FOUR, stimulus, true);
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_LIST_BIDIRECTIONAL, stimulus, true);
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_NONE, stimulus, true);
}
TEST(utest_pcnn, output_activity_one_stimulated) {
pcnn_stimulus stimulus { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_ALL_TO_ALL, stimulus, true);
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_GRID_EIGHT, stimulus, true);
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_GRID_FOUR, stimulus, true);
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_LIST_BIDIRECTIONAL, stimulus, true);
template_output_activity(stimulus.size(), 30, connection_t::CONNECTION_NONE, stimulus, true);
}
static void template_ensemble_allocation(
const size_t num_osc,
const unsigned int steps,
const connection_t type_conn,
const pcnn_stimulus & stimulus,
const pcnn_parameters * const params = nullptr)
{
pcnn_parameters parameters;
if (params != nullptr) {
parameters = *params;
}
pcnn network(num_osc, type_conn, parameters);
pcnn_dynamic dynamic;
network.simulate(steps, stimulus, dynamic);
ensemble_data<pcnn_ensemble> sync_ensembles;
ensemble_data<pcnn_ensemble> spike_ensembles;
pcnn_time_signal time_signal;
dynamic.allocate_sync_ensembles(sync_ensembles);
dynamic.allocate_spike_ensembles(spike_ensembles);
dynamic.allocate_time_signal(time_signal);
ASSERT_EQ(steps, dynamic.size());
for (ensemble_data<pcnn_ensemble>::const_iterator iter = spike_ensembles.cbegin(); iter != spike_ensembles.cend(); iter++) {
const pcnn_ensemble & ensemble = (*iter);
ASSERT_NE(time_signal.cend(), std::find(time_signal.cbegin(), time_signal.cend(), ensemble.size()));
}
std::unordered_set<size_t> traverse_oscillators;
for (ensemble_data<pcnn_ensemble>::const_iterator iter = sync_ensembles.cbegin(); iter != sync_ensembles.cend(); iter++) {
const pcnn_ensemble & ensemble = (*iter);
for (pcnn_ensemble::const_iterator iter_index = ensemble.cbegin(); iter_index != ensemble.cend(); iter_index++) {
size_t index_oscillator = (*iter_index);
ASSERT_EQ(traverse_oscillators.end(), traverse_oscillators.find(index_oscillator));
traverse_oscillators.insert(index_oscillator);
}
}
}
TEST(utest_pcnn, ensemble_allocation_all_stimulated) {
pcnn_stimulus stimulus { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 };
template_ensemble_allocation(stimulus.size(), 20, connection_t::CONNECTION_ALL_TO_ALL, stimulus);
}
TEST(utest_pcnn, ensemble_allocation_partial_stimulated) {
pcnn_stimulus stimulus { 1, 0, 0, 1, 1, 1, 0, 0, 1, 1 };
template_ensemble_allocation(stimulus.size(), 20, connection_t::CONNECTION_ALL_TO_ALL, stimulus);
}
TEST(utest_pcnn, ensemble_allocation_unstimulated) {
pcnn_stimulus stimulus { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
template_ensemble_allocation(stimulus.size(), 20, connection_t::CONNECTION_ALL_TO_ALL, stimulus);
}
TEST(utest_pcnn, ensemble_allocation_fast_linking) {
pcnn_stimulus full_stimulus { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 };
pcnn_stimulus partial_stimulus { 1, 0, 0, 1, 1, 1, 0, 0, 1, 1 };
pcnn_stimulus no_stimulus { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 };
pcnn_parameters params;
params.FAST_LINKING = true;
template_ensemble_allocation(full_stimulus.size(), 50, connection_t::CONNECTION_ALL_TO_ALL, full_stimulus, ¶ms);
template_ensemble_allocation(partial_stimulus.size(), 50, connection_t::CONNECTION_ALL_TO_ALL, partial_stimulus, ¶ms);
template_ensemble_allocation(no_stimulus.size(), 50, connection_t::CONNECTION_ALL_TO_ALL, no_stimulus, ¶ms);
}
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