#include <itpp/itbase.h>
#include <stat/libEF.h>
#include <stat/emix.h>

using namespace itpp;

//These lines are needed for use of cout and endl
using std::cout;
using std::endl;

void disp(const vec &tmu, const mat &tR,const mat &Smp){
	int N = Smp.cols();
	vec Emu = Smp*ones(N) /N ;
	mat Er = (Smp*Smp.transpose())/N - outer_product(Emu,Emu);
	cout << "True mu:" << tmu <<endl;
	cout << "Emp  mu:" << Emu <<endl;
	
	cout << "True R:" << tR <<endl;
	cout << "Emp  R:" << Er <<endl;
}

int main() {

	RNG_randomize();

	RV rv("1","{x }","2","0");
	int N = 10000; //number of samples
	vec mu0 = "1.5 1.7";
	mat V0("1.2 0.3; 0.3 5");
	ldmat R = ldmat(V0);
	
	cout << "====== ENorm ====== " <<endl;
	enorm<ldmat> eN(rv);
	eN.set_parameters(mu0,R);
	mat Smp = eN.sample(N);

	disp(mu0,R.to_mat(),Smp);

	cout << "====== MlNorm ====== " <<endl;
	mat I = eye(2);
	vec lik(N);
	mlnorm<ldmat> ML(rv,rv);
	ML.set_parameters(I,R);
	Smp = ML.samplecond(mu0,lik,N);
	
	disp(mu0,R.to_mat(),Smp);

	cout << "====== EGamma ====== " <<endl;	
	vec a = "100000,10000";
	vec b = a/10.0;
	egamma eG(rv);
	eG.set_parameters(a,b);
	
	cout << eG.eval(a)<<endl;
	Smp = eG.sampleN(N);

	vec g_mu = elem_div(a,b);
	vec g_var = elem_div(a,pow(b,2.0));
	disp(g_mu,diag(g_var),Smp);

	cout << "====== MGamma ====== " <<endl;	
	mgamma mG(rv,rv);
	double k = 10.0;
	mG.set_parameters(k);

	Smp=mG.samplecond(mu0,lik,N);
	disp(mu0,pow(mu0,2.0)/k,Smp);
	
	cout << "======= EMix ======== " << endl;
	emix eMix(rv);
	Array<epdf*> Coms(2);
	Coms(0) = &eG;
	Coms(1) = &eN;
	
	eMix.set_parameters(vec_2(0.5,0.5), Coms);
	vec smp = eMix.sample();
	Smp = eMix.sampleN(N);
	disp(eMix.mean(),zeros(2),Smp);

	cout << "======= MEpdf ======== " << endl;
	mepdf meMix(rv,rv,&eMix);
	
	Smp = meMix.samplecond(mu0,lik,N);
	disp(eMix.mean(),zeros(2),Smp);

	cout << "======= MMix ======== " << endl;
	mmix mMix(rv,rv);
	Array<mpdf*> mComs(2);
	mComs(0) = &mG;
	eN.set_mu(vec_2(0.0,0.0));
	mepdf mEnorm(rv,rv,&eN);
	mComs(1) = &mEnorm;
	mMix.set_parameters(vec_2(0.5,0.5),mComs);
	
	Smp = mMix.samplecond(mu0,lik,N);
	disp(mMix._epdf().mean(),zeros(2),Smp);

	//Exit program:
	return 0;

}