#include <NeuralNetwork/Recurrent/Network.h>

#include <assert.h>
#include <iostream>

int main() {
	NeuralNetwork::Recurrent::Network a(2,1,1);

	a.getNeurons()[4]->weight(1)=0.05;
	a.getNeurons()[4]->weight(2)=0.05;
	a.getNeurons()[4]->weight(3)=0.7;
	a.getNeurons()[3]->weight(4)=0.1;

	std::vector <float> solutions({0.5,0.5732923,0.6077882,0.6103067,0.6113217,0.6113918,0.61142,0.6114219,0.6114227,0.6114227});

	for(size_t i=0;i<solutions.size();i++) {
		float res= a.computeOutput({1,0.7})[0];
		float resA=solutions[i];
		assert(res >  solutions[i]*0.999 && res < solutions[i]*1.001);
	}
}