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/**
* DESCRIPTION OF THE CLASS
*
* @author David Vojtek
* @date 2018
*/
#define BOOST_TEST_NO_MAIN
#include <boost/test/unit_test.hpp>
#include "../Network/NeuralNetwork.h"
#include "../Neuron/NeuronLinear.h"
/**
* Boost testing suite for testing NeuralNetwork.h
*/
BOOST_AUTO_TEST_SUITE(NeuralNetwork_test)
/**
* Test of creating new instance of NeuralNetwork
*/
BOOST_AUTO_TEST_CASE(NeuralNetwork_constuction_test) {
//Test of none exception raise when creating new instance of NeuralNewtwork
/**
* Test of add_neuron method
*/
BOOST_AUTO_TEST_CASE(NeuralNetwork_add_neuron_test) {
Neuron *n1 = new NeuronLinear(1, 1);
Neuron *n2 = new NeuronLinear(2, 2);
//Tests of correct neuron indexs when add_neuron
BOOST_CHECK_EQUAL(0, network.add_neuron(n1));
BOOST_CHECK_EQUAL(1, network.add_neuron(n2));
/**
* Test of add_connection_simple method
*/
BOOST_AUTO_TEST_CASE(NeuralNetwork_add_connection_simple_test) {
Neuron *n1 = new NeuronLinear(1, 1);
Neuron *n2 = new NeuronLinear(2, 2);
NeuralNetwork network;
network.add_neuron(n1);
network.add_neuron(n2);
network.add_connection_simple(0, 1, 0, 2.5);
//Tests of correct connection number with affected neurons
BOOST_CHECK_EQUAL(1, n1->get_connections_out()->size());
BOOST_CHECK_EQUAL(1, n2->get_connections_in()->size());
//Tests of raising out_of_range exception when calling add_connection_simple with not valid parameters
BOOST_CHECK_THROW(network.add_connection_simple(2, 0, 0, 0), std::out_of_range);
BOOST_CHECK_THROW(network.add_connection_simple(0, 2, 0, 0), std::out_of_range);
/**
* Test of add_connection_general method
*/
BOOST_AUTO_TEST_CASE(NeuralNetwork_add_connection_general_test) {
Neuron *n1 = new NeuronLinear(1, 1);
Neuron *n2 = new NeuronLinear(2, 2);
std::function<double(double *, int *, int)> f = [](double *weight_array, int *index_array, int n_params) {
double a = weight_array[0];
double b = weight_array[1];
return (a + 1.5 * b);
};
int para[5] = {0, 1, 2, 3, 4};
double w_array[5] = {1, 2, 3, 4, 5};
network.add_connection_general(0, 1, &f, para, w_array, 5);
//Tests of correct connection number with affected neurons
BOOST_CHECK_EQUAL(1, n1->get_connections_out()->size());
BOOST_CHECK_EQUAL(1, n2->get_connections_in()->size());
//Tests of raising out_of_range exception when calling add_connection_general with not valid parameters
BOOST_CHECK_THROW(network.add_connection_general(2, 1, &f, para, w_array, 5), std::out_of_range);
BOOST_CHECK_THROW(network.add_connection_general(0, 2, &f, para, w_array, 5), std::out_of_range);
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BOOST_AUTO_TEST_CASE(NeuralNetwork_get_subnet_test) {
Neuron *n1 = new NeuronLinear(1, 1);
Neuron *n2 = new NeuronLinear(2, 2);
Neuron *n3 = new NeuronLinear(3, 3);
Neuron *n4 = new NeuronLinear(4, 4);
NeuralNetwork network;
network.add_neuron(n1);
network.add_neuron(n2);
network.add_neuron(n3);
network.add_neuron(n4);
network.add_connection_simple(0, 1, 0, 2.5);
network.add_connection_simple(0, 3, 0, 2.5);
network.add_connection_simple(2, 1, 0, 2.5);
network.add_connection_simple(2, 3, 0, 2.5);
std::vector<size_t> input_neuron_indices(1);
input_neuron_indices.push_back(0);
std::vector<size_t> output_neuron_indices(1);
output_neuron_indices.push_back(1);
NeuralNetwork *network2 = network.get_subnet(input_neuron_indices, output_neuron_indices);
BOOST_CHECK_EQUAL(2, network2->add_neuron(n1));
}
BOOST_AUTO_TEST_CASE(NeuralNetwork_specify_input_neurons_test) {
Neuron *n1 = new NeuronLinear(1, 1);
Neuron *n2 = new NeuronLinear(2, 2);
NeuralNetwork network;
network.add_neuron(n1);
network.add_neuron(n2);
network.add_connection_simple(0, 1, 0, 2.5);
BOOST_CHECK_EQUAL(0, network.get_n_inputs());
std::vector<size_t> input_neuron_indices(1);
input_neuron_indices[0] = (size_t) 0;
network.specify_input_neurons(input_neuron_indices);
BOOST_CHECK_EQUAL(1, network.get_n_inputs());
}
BOOST_AUTO_TEST_CASE(NeuralNetwork_specify_output_neurons_test) {
Neuron *n1 = new NeuronLinear(1, 1);
Neuron *n2 = new NeuronLinear(2, 2);
NeuralNetwork network;
network.add_neuron(n1);
network.add_neuron(n2);
network.add_connection_simple(0, 1, 0, 2.5);
BOOST_CHECK_EQUAL(0, network.get_n_outputs());
std::vector<size_t> output_neuron_indices(1);
output_neuron_indices[0] = (size_t) 1;
network.specify_output_neurons(output_neuron_indices);
BOOST_CHECK_EQUAL(1, network.get_n_outputs());
}
BOOST_AUTO_TEST_CASE(NeuralNetwork_get_weights_test) {
Neuron *n1 = new NeuronLinear(1, 1);
Neuron *n2 = new NeuronLinear(2, 2);
NeuralNetwork network;
network.add_neuron(n1);
network.add_neuron(n2);
network.add_connection_simple(0, 1, 0, 2.5);
BOOST_CHECK_EQUAL(1, network.get_n_weights());
}
BOOST_AUTO_TEST_CASE(NeuralNetwork_eval_single_test) {
Neuron *n1 = new NeuronLinear(1, 1);
Neuron *n2 = new NeuronLinear(2, 2);
NeuralNetwork network;
network.add_neuron(n1);
network.add_neuron(n2);
network.add_connection_simple(0, 1, -1, 2.5);
std::vector<size_t> output_neuron_indices(1);
output_neuron_indices[0] = (size_t) 1;
network.specify_output_neurons(output_neuron_indices);
std::vector<size_t> input_neuron_indices(1);
input_neuron_indices[0] = (size_t) 0;
network.specify_input_neurons(input_neuron_indices);
std::vector<double> input;
input.push_back(1);
std::vector<double> output;
output.push_back(1);
network.eval_single(input, output);
BOOST_CHECK_EQUAL(12, output.at(0));
}
BOOST_AUTO_TEST_CASE(NeuralNetwork_eval_single_weights_test) {
Neuron *n1 = new NeuronLinear(1, 1);
Neuron *n2 = new NeuronLinear(2, 2);
NeuralNetwork network;
network.add_neuron(n1);
network.add_neuron(n2);
network.add_connection_simple(0, 1, -1, 2.5);
std::vector<size_t> output_neuron_indices(1);
output_neuron_indices[0] = (size_t) 1;
network.specify_output_neurons(output_neuron_indices);
std::vector<size_t> input_neuron_indices(1);
input_neuron_indices[0] = (size_t) 0;
network.specify_input_neurons(input_neuron_indices);
std::vector<double> input;
input.push_back(1);
std::vector<double> output;
output.push_back(1);
double weights = 5;
network.get_n_weights();
network.eval_single(input, output, &weights);
BOOST_CHECK_EQUAL(22, output.at(0));
}