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#include "catch.hpp"
#include <sstream>
#include "brain/neural_network.h"
SCENARIO("network is read from istream")
{
GIVEN("an empty config file")
{
std::stringstream file;
file << "" << std::endl;
WHEN ("the network is initialized")
{
NeuralNetwork network(std::move(file), 1, 2);
THEN("the specified number of inputs and outputs are created")
{
REQUIRE(network.numberOfSensors() == 1);
REQUIRE(network.numberOfOutputs() == 2);
}
}
}
GIVEN("a valid config file")
{
std::stringstream file;
file << "s0 n3 0.5" << std::endl;
file << "n3 n1 1" << std::endl;
file << "b0 n0 0.4" << std::endl;
file << "b0 n3 0.5" << std::endl;
WHEN("the network is initialized")
{
NeuralNetwork network(std::move(file), 1, 3);
THEN("the network is constructed correctly")
{
REQUIRE(network.linkExists("s0", "n3", 0.5));
REQUIRE(network.linkExists("n3", "n1", 1));
REQUIRE(network.linkExists("b0", "n0", 0.4));
REQUIRE(network.linkExists("b0", "n3", 0.5));
}
THEN("The network evaluates correctly")
{
network.setInput(0, 1);
REQUIRE(network.findMaxOutputIndex() == 1);
}
}
}
GIVEN("a valid recurrant config file")
{
std::stringstream file;
file << "s0 n3 0.5" << std::endl;
file << "n3 n1 1" << std::endl;
file << "b0 n0 0.4" << std::endl;
file << "b0 n3 0.5" << std::endl;
file << "n1 n3 0.5" << std::endl;
WHEN("the network converges")
{
NeuralNetwork network(std::move(file), 1, 3);
THEN("the network is constructed correctly")
{
network.setInput(0, 1);
REQUIRE(network.findMaxOutputIndex() == 1);
}
}
}
GIVEN("my handcoded config file")
{
std::stringstream file;
file << "b0 n0 20" << std::endl;
file << "s55 n3 10" << std::endl;
file << "b0 n4 -10" << std::endl;
file << "s59 n4 -50" << std::endl;
file << "s60 n4 20" << std::endl;
file << "b0 n6 10" << std::endl;
file << "s51 n6 -10" << std::endl;
file << "s53 n6 -10" << std::endl;
file << "n3 n0 -20" << std::endl;
file << "n4 n0 -20" << std::endl;
file << "n6 n0 -20" << std::endl;
file << "n3 n4 -20" << std::endl;
file << "n6 n3 -20" << std::endl;
file << "n6 n4 -20" << std::endl;
WHEN("the netwok is constructed")
{
std::vector<bool> sensors(61);
NeuralNetwork network(std::move(file), sensors, 7);
THEN("it is constructred correctly")
{
REQUIRE(network.linkExists("b0", "n0", 20));
REQUIRE(network.linkExists("s55", "n3", 10));
REQUIRE(network.linkExists("b0", "n4", -10));
REQUIRE(network.linkExists("s59", "n4", -50));
REQUIRE(network.linkExists("s60", "n4", 20));
REQUIRE(network.linkExists("b0", "n6", 10));
REQUIRE(network.linkExists("s51", "n6", -10));
REQUIRE(network.linkExists("s53", "n6", -10));
REQUIRE(network.linkExists("n3", "n0", -20));
REQUIRE(network.linkExists("n4", "n0", -20));
REQUIRE(network.linkExists("n6", "n0", -20));
REQUIRE(network.linkExists("n3", "n4", -20));
REQUIRE(network.linkExists("n6", "n3", -20));
REQUIRE(network.linkExists("n6", "n4", -20));
}
THEN("it has the right number of nodes and sensors")
{
REQUIRE(network.numberOfSensors() == 61);
REQUIRE(network.numberOfOutputs() == 7);
REQUIRE(network.numberOfNeurons() == 7);
}
}
}
}
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