public void RunTest5()
{
double[,] inputs =
{
{ 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1 },
{ 0.9, 1.3, 1.5, 1, 2.4, 1.1, 1.3, 1.1, 0.8, 0.7, 1.1, 0.8, 1, 1, 1.4, 1.4, 1.2, 1.1, 1, 1.4, 2.5, 1.6, 1.2, 0.7, 0.8, 0.7, 0.7, 1.3, 1, 1.7, 1, 1.1, 1.3, 0.9, 1, 1.1, 0.7, 0.9, 1.3, 1.3, 0.9, 1.3, 0.9, 0.6, 1.2, 1.1, 1.1, 0.9, 1.1, 1.1, 1.9, 1.1, 0.9, 1.3, 1.1, 1.2, 0.8, 0.9, 1.7, 1.2, 0.7, 1.2, 1.6, 2.9, 1, 0.9, 0.8, 1, 1.5, 0.8, 0.7, 1.1, 1.2, 0.5, 0.9, 0.9, 0.9, 1.2, 1, 0.9, 1.3, 0.6, 1.2, 0.6, 1.7, 0.8, 1.1, 1, 1.1, 1.2, 0.6, 1.3, 1.7, 1.2, 2.7, 0.8, 1, 1, 1, 1.6, 1.2, 1.2, 2.4, 0.7, 0.8, 0.7, 1.3, 0.9, 1.1, 1.2, 1.2, 1.7, 1, 1.1, 2.1, 1.8, 2.2, 0.5, 1, 1.6, 1.2, 1.5, 1.1, 1, 1, 1.4, 1.2, 1.2, 1.1, 1.5, 0.9, 0.9, 1.2, 1.4, 1.2, 1, 0.9, 1.9, 1.7, 1.3, 1.2, 1.4, 1.7, 0.9, 1.6, 0.7, 0.9, 1, 1.1, 1.4, 1, 1.1, 1.4, 1.3, 1.1, 1.8, 1.6, 1.2, 1, 0.8, 1.1, 0.7, 1.4, 1.1, 1.8, 0.7, 1.7, 1, 1.2, 1.5, 1.1, 1.6, 1.7, 1.3, 0.8, 1.7, 1.5, 0.8, 1.4, 0.9, 4.7, 1, 0.7, 0.9, 0.9, 1, 2.6, 1, 1.1, 1.4, 1, 0.9, 1.3, 1.6, 1.8, 0.9, 1.6, 0.9, 1.2, 1, 1.2, 0.7, 1.4, 1.6, 1.2, 1.1, 1.3, 0.9, 1.3, 0.7, 1.2, 1.1, 1, 1, 0.9, 0.8, 1, 1, 1.5, 1.3, 1.2, 1, 1.2, 1.1, 1.6, 1.7, 1.1, 0.9, 1, 0.9, 1.3, 0.8, 0.8, 1, 0.9, 1, 1.2, 1.4, 0.8, 1, 1, 1.2, 1.3, 1.1, 1, 1.6, 1.2, 0.8, 2.1, 1, 1.5, 1, 1.5, 1.2, 1.1, 1.3, 0.8, 1, 1.1, 1.5, 0.8, 1.2, 1.1, 0.8, 0.9, 1.4, 1.5, 1, 1.3, 1.1, 1, 1.2, 2.2, 1.2, 1.3, 1.3, 0.7, 1, 1.1, 1.1, 1.7, 1.3, 1, 1.1, 1, 1.8, 1.2, 1.2, 1.3, 1.1, 1.6, 4.1, 1, 0.9, 1.5, 1.5, 1.4, 1, 0.5, 0.9, 0.8, 0.6, 1.3, 0.7, 0.7, 1.1, 1.4, 0.9, 1, 4.2, 1, 0.9, 1.2, 2.1, 2.4, 1.2, 2.5, 1, 1.2, 1.3, 0.9, 1.1, 1.6, 1, 1.5, 1.1, 1, 2.6, 0.9, 1.3, 1.4, 0.8, 1.4, 2.7, 1.1, 0.8, 1.2, 1.4, 1.2, 1, 1.1, 1.2, 1.2, 1.3, 1.2, 1.2, 1.2, 1.1, 1.3, 0.9, 1, 1.9, 1.4, 1.2, 1.1, 0.7, 0.9, 1.1, 1.1, 1.4, 1, 1.2, 1.4, 1, 2.8, 1.1, 0.7, 0.7, 1.2, 0.7, 1, 1.5, 1.5, 1.7, 0.9, 1.6, 0.9, 1.7, 0.8, 1, 0.8, 1.1, 1.3, 1.2, 0.9, 1.1, 1.1, 0.9, 0.9, 0.7, 1.1, 1.8, 0.8, 0.9, 1.4, 0.9, 1.2, 1.4, 1, 0.8, 1.4, 1.4, 1, 0.7, 0.6, 0.8, 1.4, 1.4, 0.8, 1.9, 1.3, 1, 1.3, 0.9, 0.9, 1.5, 1.5, 0.8, 1.4, 1.1, 0.8, 0.8, 1.4, 1.3, 1.1, 1, 2.2, 1.6, 1.7, 1.2, 0.9, 1.1, 1, 2.6, 1.6, 0.9, 0.9, 0.6, 1.6, 1.1, 1.3, 1.7, 1.2, 1.2, 1.6, 0.9, 0.9, 1.3, 2.2, 1.3, 1, 0.8, 1.5, 1.3, 1, 1.2, 1.4, 1.3, 1.3, 1.4, 1.3, 1.4, 1.2, 1, 1.2, 0.8, 1.1, 1.2, 1.1, 1.2, 1.8, 1.1, 1.6, 1.1, 0.8, 1.2, 1, 1.2, 0.7, 1.9, 1.6, 1.5, 0.9, 1.1, 0.8, 1.3, 1.1, 0.7, 1, 2, 1.2, 1.1, 1.2, 0.9, 0.9, 1, 1.2, 1, 1.2, 1.1, 1.1, 1, 1.4, 0.8, 1.3, 0.8, 1, 1.4, 1.2, 1.1, 1.3, 0.7, 1.2, 0.6, 1.2, 1.4, 1.5, 1.7, 0.9, 1, 0.6, 0.9, 1.4, 1.5, 1.1, 1.3, 0.9, 1.3, 2.1, 1.2, 1.3, 1.1, 1.4, 0.9, 1.4, 1.5, 1, 1.5, 1, 1.3, 0.9, 1.2, 1.1, 0.9, 1.1, 1.4, 1.4, 0.8, 1, 1.2, 1.1, 0.8, 1.2, 4.1, 0.7, 2, 0.8, 1.2, 3.8, 1.2, 1.4, 1, 1, 1.7, 1, 1, 0.9, 1.6, 0.7, 1.2, 1.1, 1, 1, 1, 0.7, 1.5, 1.1, 1, 0.9, 0.8, 0.9, 1.9, 1, 1.4, 1.3, 1.5, 0.9, 1.1, 1.2, 0.8, 1, 1.4, 4.2, 2.5, 1.2, 1.6, 0.9, 1.1, 1, 0.9, 0.6, 1, 1.1, 1.2, 1.2, 1.2, 0.9, 1.2, 1.1, 1.2, 0.8, 1, 1.6, 0.9, 1.2, 1.4, 0.7, 1.6, 1.1, 1.5, 0.8, 1.4, 0.9, 0.9, 1.5, 1.1, 9.1, 1.6, 1.3, 0.8, 4, 0.7, 1.4, 0.8, 3.6, 1.3, 1.3, 1, 1.1, 0.8, 1.2, 0.8, 0.9, 1.5, 1, 0.7, 6.6, 1.2, 1.8, 1, 1.3, 1, 1.3, 1.1, 1.1, 1, 0.9, 0.9, 1.1, 1.1, 0.9, 1.5, 4.5, 1.1, 0.8, 0.7, 0.9, 0.8, 1.6, 0.8, 0.8, 2, 2, 1.5, 1.2, 1.2, 0.9, 1.7, 1.4, 0.8, 1.5, 1, 1.1, 1.1, 0.7, 1.1, 1.2, 0.9, 1.5, 0.7, 1.5, 1.3, 0.8, 0.7, 1.1, 1, 1, 1.2, 0.8, 0.9, 0.8, 1.6, 2.4, 1.1, 2, 0.9, 1.4, 1.2, 1.1, 1.6, 0.9, 0.9, 1.3, 2, 1, 1.4, 1.3, 1.3, 0.7, 0.9, 1.1, 1.7, 1.1, 1.2, 0.9, 0.9, 1.1, 0.9, 5.2, 1.3, 0.7, 1.4, 1.4, 0.8, 1.2, 1.4, 0.9, 1.1, 1.1, 1.3, 1.7, 0.8, 1, 1.2, 1.9, 1.1, 1.3, 1.8, 0.6, 0.8, 1.4, 0.7, 0.9, 0.9, 1.2, 1.5, 0.7, 4.2, 1.1, 1.1, 1, 1.3, 0.8, 1.3, 1.1, 1.1, 0.8, 1.1, 1.5, 1.2, 1.2, 1.1, 1.7, 1, 1, 0.9, 0.9, 0.8, 1.2, 1.1, 0.7, 0.8, 1.1, 0.9, 1.4, 1, 1.1, 1.4, 0.9, 1, 1.7, 0.9, 1.3, 1.3, 0.8, 2.1, 1, 0.9, 1.2, 0.9, 1.1, 1.1, 1.2, 1.2, 0.9, 1.4, 1.2, 0.8, 1.1, 1.3, 1.1, 1.1, 0.8, 0.9, 0.9, 1.2, 1.1, 1.7, 1.3, 1.1, 1.7, 0.8, 0.9, 1.5, 1.1, 1.4, 1.4, 1.5, 1.1, 1.3, 0.9, 1.1, 1.1, 0.7, 1, 1.1, 0.6, 1, 1.2, 1.4, 1.1, 0.8, 1, 1.3, 0.9, 1, 1, 0.9, 1.5, 1.1, 1.5, 6.3, 1.4, 1.1, 5.2, 1.6, 1, 1.2, 1.3, 0.6, 1.1, 1.2, 1.1, 1.2, 1, 1.1, 1.9, 1.1, 1.2, 1.1, 0.7, 1.4, 2.2, 1.1, 1.5, 0.9, 1.2, 1.1, 0.8, 1.3, 1.1, 1.3, 1.8, 1.1, 1.1, 1.1, 1, 0.8, 1.7, 1.2, 1.4, 1.1, 1.4, 1.1, 0.8, 1, 1.1, 1.2, 1.4, 1, 1.3, 1.1, 2.3, 0.7, 1.3, 0.7, 0.9, 0.9, 1.2, 2, 0.7, 1.2, 1.6, 1.3, 1.4, 2.7, 1.5, 1, 1, 1.5, 1 }
};
double[,] outputs =
{
{ 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 9, 30, 30, 30, 30, 30, 2, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 2, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 13, 30, 30, 30, 30, 30, 30, 0, 30, 13, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 1, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 16, 30, 30, 30, 30, 30, 30, 0, 30, 30, 30, 30, 30, 30, 30, 30, 5, 30, 30, 30, 30, 30, 30, 30, 30, 1, 30, 21, 30, 30, 30, 30, 30, 30, 30, 30, 1, 30, 30, 30, 16, 30, 30, 30, 30, 30, 30, 30, 30, 2, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 16, 30, 30, 30, 30, 30, 3, 30, 18, 30, 30, 30, 30, 30, 28, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 0, 30, 30, 30, 30, 30, 1, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 17, 30, 1, 30, 30, 1, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 9, 30, 30, 30, 30, 1, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 9, 30, 30, 30, 27, 30, 30, 30, 30, 30, 30, 30, 30, 30, 0, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 16, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 20, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 1, 30, 30, 4, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 26, 30, 30, 30, 30, 12, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 21, 30, 1, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 9, 30, 30, 30, 30, 30, 30, 30, 1, 30, 1, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 0, 30, 25, 30, 30, 12, 30, 30, 30, 30, 30, 30, 10, 30, 30, 30, 30, 3, 30, 11, 30, 30, 30, 30, 30, 11, 30, 30, 30, 30, 30, 30, 4, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 1, 30, 30, 30, 30, 30, 1, 0, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 11, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 2, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 1, 30, 10, 30, 30, 30, 0, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 3, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 19, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 29, 30, 30, 30, 30, 30, 30, 2, 30, 30, 30, 30, 15, 30, 30, 30, 30, 30, 30, 30, 30, 3, 30, 30, 0, 30, 30, 30, 2, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 9, 30, 30, 30, 2, 30, 30, 30, 2, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 8, 30, 30, 30, 30, 30, 30, 0, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 14, 30, 30, 30, 9, 30, 30, 30, 30, 30, 13, 30, 30, 30, 4, 30, 30, 30, 30, 1, 30, 30, 30, 30, 30, 30, 10, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 1, 30, 30, 2, 30, 30, 30, 30, 30 },
{ 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, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 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, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 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, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 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, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 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, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 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, 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, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 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, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0 }
};
double[][] covariates = inputs.Transpose().ToJagged();
double[] time = outputs.GetRow(0);
int[] censor = outputs.GetRow(1).ToInt32();
// string inputStr = inputs.Transpose().ToString(Accord.Math.DefaultMatrixFormatProvider.InvariantCulture);
// string outputStr = outputs.Transpose().ToString(Accord.Math.DefaultMatrixFormatProvider.InvariantCulture);
var regression = new ProportionalHazards(2);
var target = new ProportionalHazardsNewtonRaphson(regression);
double error = target.Run(covariates, time, censor);
double log = -2 * regression.GetPartialLogLikelihood(covariates, time, censor);
Assert.AreEqual(-0.270, regression.Coefficients[0], 1e-4);
Assert.AreEqual(0.463, regression.Coefficients[1], 1e-2);
Assert.IsFalse(Double.IsNaN(regression.Coefficients[0]));
Assert.IsFalse(Double.IsNaN(regression.Coefficients[1]));
Assert.AreEqual(0.2454, regression.StandardErrors[0], 1e-4);
Assert.AreEqual(0.0671, regression.StandardErrors[1], 1e-4);
Assert.IsFalse(Double.IsNaN(regression.StandardErrors[0]));
Assert.IsFalse(Double.IsNaN(regression.StandardErrors[1]));
}