TEST_F(TestConsoleSystem, promptCmdSet) {
sgConsole.setCwd(dir0);
sgConsole.getUi()->setCmdLine("set paramString");
sgConsole.prompt();
EXPECT_EQ("set paramString", getCmdLine());
sgConsole.getUi()->setCmdLine("set paramString ");
sgConsole.prompt();
EXPECT_EQ("set paramString ", getCmdLine());
EXPECT_EQ("one three two \n", getLastOutput());
sgConsole.getUi()->setCmdLine("set paramString o");
sgConsole.prompt();
EXPECT_EQ("set paramString one", getCmdLine());
sgConsole.getUi()->setCmdLine("set paramString tw");
sgConsole.prompt();
EXPECT_EQ("set paramString two", getCmdLine());
sgConsole.getUi()->setCmdLine("set " + d + "di");
sgConsole.prompt();
EXPECT_EQ("set " + d + "dir0", getCmdLine());
sgConsole.getUi()->setCmdLine("set " + pathDir0_0 + " paramString tw");
sgConsole.prompt();
EXPECT_EQ("set " + pathDir0_0 + " paramString two", getCmdLine());
sgConsole.getUi()->setCmdLine("set " + pathDir0_0_0 + " paramBool f");
sgConsole.prompt();
EXPECT_EQ("set " + pathDir0_0_0 + " paramBool false", getCmdLine());
}
float NeuralNetwork::trainNetwork(const std::vector<float> &input, const std::vector<float> &desired_output) {
if (first_layer == nullptr) {
return 0.0f;
}
processInput(input);
std::vector<float> out = getLastOutput();
std::vector<float> dif(out.size());
float dist = 0.0f;
for (unsigned int i = 0; i < out.size(); i++) {
dif[i] = desired_output[i] - out[i];
dist += dif[i]*dif[i];
}
last_layer->processAndForwardError(dif);
return sqrt(dist);
}