#include <NeuralNetwork/BasisFunction/Linear.h>
#include <NeuralNetwork/BasisFunction/Product.h>

#include <iostream>
#include <cassert>
#include <chrono>

int main() {
	{
		NeuralNetwork::BasisFunction::Linear l;
		assert(39.0==l({1,2,3,5},{1,2,3,5}));
	}
	{
		NeuralNetwork::BasisFunction::Linear l;
		assert(88.0==l({1,2,3,5,7},{1,2,3,5,7}));
	}
	{
		NeuralNetwork::BasisFunction::Linear l;
		std::vector<float> w;
		for(int in=0;in<100;in++) {
			w.push_back(2);
		}
		assert(400.0==l(w,w));
	}
	{
		NeuralNetwork::BasisFunction::Linear l;
		std::vector<float> w;
		for(int in=0;in<55;in++) {
			w.push_back(2);
		}
		assert(220.0==l(w,w));
	}
	{
		NeuralNetwork::BasisFunction::Product l;
		std::vector<float> w({0,0.501,1});
		std::vector<float> i({0,0.2,0.3});

		assert(l(w,i) > 0.05999);
		assert(l(w,i) < 0.06001);
	}
}