/** @file exam_matrices.cpp
 *
 *  Here we examine manipulations on GiNaC's symbolic matrices. */

/*
 *  GiNaC Copyright (C) 1999-2007 Johannes Gutenberg University Mainz, Germany
 *
 *  This program is free software; you can redistribute it and/or modify
 *  it under the terms of the GNU General Public License as published by
 *  the Free Software Foundation; either version 2 of the License, or
 *  (at your option) any later version.
 *
 *  This program is distributed in the hope that it will be useful,
 *  but WITHOUT ANY WARRANTY; without even the implied warranty of
 *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *  GNU General Public License for more details.
 *
 *  You should have received a copy of the GNU General Public License
 *  along with this program; if not, write to the Free Software
 *  Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
 */

#include <stdexcept>
#include "exams.h"

static unsigned matrix_determinants()
{
	unsigned result = 0;
	ex det;
	matrix m1(1,1), m2(2,2), m3(3,3), m4(4,4);
	symbol a("a"), b("b"), c("c");
	symbol d("d"), e("e"), f("f");
	symbol g("g"), h("h"), i("i");
	
	// check symbolic trivial matrix determinant
	m1.set(0,0,a);
	det = m1.determinant();
	if (det != a) {
		clog << "determinant of 1x1 matrix " << m1
		     << " erroneously returned " << det << endl;
		++result;
	}
	
	// check generic dense symbolic 2x2 matrix determinant
	m2.set(0,0,a).set(0,1,b);
	m2.set(1,0,c).set(1,1,d);
	det = m2.determinant();
	if (det != (a*d-b*c)) {
		clog << "determinant of 2x2 matrix " << m2
		     << " erroneously returned " << det << endl;
		++result;
	}
	
	// check generic dense symbolic 3x3 matrix determinant
	m3.set(0,0,a).set(0,1,b).set(0,2,c);
	m3.set(1,0,d).set(1,1,e).set(1,2,f);
	m3.set(2,0,g).set(2,1,h).set(2,2,i);
	det = m3.determinant();
	if (det != (a*e*i - a*f*h - d*b*i + d*c*h + g*b*f - g*c*e)) {
		clog << "determinant of 3x3 matrix " << m3
		     << " erroneously returned " << det << endl;
		++result;
	}
	
	// check dense numeric 3x3 matrix determinant
	m3.set(0,0,numeric(0)).set(0,1,numeric(-1)).set(0,2,numeric(3));
	m3.set(1,0,numeric(3)).set(1,1,numeric(-2)).set(1,2,numeric(2));
	m3.set(2,0,numeric(3)).set(2,1,numeric(4)).set(2,2,numeric(-2));
	det = m3.determinant();
	if (det != 42) {
		clog << "determinant of 3x3 matrix " << m3
		     << " erroneously returned " << det << endl;
		++result;
	}
	
	// check dense symbolic 2x2 matrix determinant
	m2.set(0,0,a/(a-b)).set(0,1,1);
	m2.set(1,0,b/(a-b)).set(1,1,1);
	det = m2.determinant();
	if (det != 1) {
		if (det.normal() == 1)  // only half wrong
			clog << "determinant of 2x2 matrix " << m2
			     << " was returned unnormalized as " << det << endl;
		else  // totally wrong
			clog << "determinant of 2x2 matrix " << m2
			     << " erroneously returned " << det << endl;
		++result;
	}
	
	// check sparse symbolic 4x4 matrix determinant
	m4.set(0,1,a).set(1,0,b).set(3,2,c).set(2,3,d);
	det = m4.determinant();
	if (det != a*b*c*d) {
		clog << "determinant of 4x4 matrix " << m4
		     << " erroneously returned " << det << endl;
		++result;
	}
	
	// check characteristic polynomial
	m3.set(0,0,a).set(0,1,-2).set(0,2,2);
	m3.set(1,0,3).set(1,1,a-1).set(1,2,2);
	m3.set(2,0,3).set(2,1,4).set(2,2,a-3);
	ex p = m3.charpoly(a);
	if (p != 0) {
		clog << "charpoly of 3x3 matrix " << m3
		     << " erroneously returned " << p << endl;
		++result;
	}
	
	return result;
}

static unsigned matrix_invert1()
{
	unsigned result = 0;
	matrix m(1,1);
	symbol a("a");
	
	m.set(0,0,a);
	matrix m_i = m.inverse();
	
	if (m_i(0,0) != pow(a,-1)) {
		clog << "inversion of 1x1 matrix " << m
		     << " erroneously returned " << m_i << endl;
		++result;
	}
	
	return result;
}

static unsigned matrix_invert2()
{
	unsigned result = 0;
	matrix m(2,2);
	symbol a("a"), b("b"), c("c"), d("d");
	m.set(0,0,a).set(0,1,b);
	m.set(1,0,c).set(1,1,d);
	matrix m_i = m.inverse();
	ex det = m.determinant();
	
	if ((normal(m_i(0,0)*det) != d) ||
		(normal(m_i(0,1)*det) != -b) ||
		(normal(m_i(1,0)*det) != -c) ||
		(normal(m_i(1,1)*det) != a)) {
		clog << "inversion of 2x2 matrix " << m
		     << " erroneously returned " << m_i << endl;
		++result;
	}
	
	return result;
}

static unsigned matrix_invert3()
{
	unsigned result = 0;
	matrix m(3,3);
	symbol a("a"), b("b"), c("c");
	symbol d("d"), e("e"), f("f");
	symbol g("g"), h("h"), i("i");
	m.set(0,0,a).set(0,1,b).set(0,2,c);
	m.set(1,0,d).set(1,1,e).set(1,2,f);
	m.set(2,0,g).set(2,1,h).set(2,2,i);
	matrix m_i = m.inverse();
	ex det = m.determinant();
	
	if ((normal(m_i(0,0)*det) != (e*i-f*h)) ||
	    (normal(m_i(0,1)*det) != (c*h-b*i)) ||
	    (normal(m_i(0,2)*det) != (b*f-c*e)) ||
	    (normal(m_i(1,0)*det) != (f*g-d*i)) ||
	    (normal(m_i(1,1)*det) != (a*i-c*g)) ||
	    (normal(m_i(1,2)*det) != (c*d-a*f)) ||
	    (normal(m_i(2,0)*det) != (d*h-e*g)) ||
	    (normal(m_i(2,1)*det) != (b*g-a*h)) ||
	    (normal(m_i(2,2)*det) != (a*e-b*d))) {
		clog << "inversion of 3x3 matrix " << m
		     << " erroneously returned " << m_i << endl;
		++result;
	}
	
	return result;
}

static unsigned matrix_solve2()
{
	// check the solution of the multiple system A*X = B:
	//	 [ 1  2 -1 ] [ x0 y0 ]   [ 4 0 ]
	//	 [ 1  4 -2 ]*[ x1 y1 ] = [ 7 0 ]
	//	 [ a -2  2 ] [ x2 y2 ]   [ a 4 ]
	unsigned result = 0;
	symbol a("a");
	symbol x0("x0"), x1("x1"), x2("x2");
	symbol y0("y0"), y1("y1"), y2("y2");
	matrix A(3,3);
	A.set(0,0,1).set(0,1,2).set(0,2,-1);
	A.set(1,0,1).set(1,1,4).set(1,2,-2);
	A.set(2,0,a).set(2,1,-2).set(2,2,2);
	matrix B(3,2);
	B.set(0,0,4).set(1,0,7).set(2,0,a);
	B.set(0,1,0).set(1,1,0).set(2,1,4);
	matrix X(3,2);
	X.set(0,0,x0).set(1,0,x1).set(2,0,x2);
	X.set(0,1,y0).set(1,1,y1).set(2,1,y2);
	matrix cmp(3,2);
	cmp.set(0,0,1).set(1,0,3).set(2,0,3);
	cmp.set(0,1,0).set(1,1,2).set(2,1,4);
	matrix sol(A.solve(X, B));
	for (unsigned ro=0; ro<3; ++ro)
		for (unsigned co=0; co<2; ++co)
			if (cmp(ro,co) != sol(ro,co))
				result = 1;
	if (result) {
		clog << "Solving " << A << " * " << X << " == " << B << endl
		     << "erroneously returned " << sol << endl;
	}
	
	return result;
}

static unsigned matrix_evalm()
{
	unsigned result = 0;

	matrix S(2, 2, lst(
		1, 2,
		3, 4
	)), T(2, 2, lst(
		1, 1,
		2, -1
	)), R(2, 2, lst(
		27, 14,
		36, 26
	));

	ex e = ((S + T) * (S + 2*T));
	ex f = e.evalm();
	if (!f.is_equal(R)) {
		clog << "Evaluating " << e << " erroneously returned " << f << " instead of " << R << endl;
		result++;
	}

	return result;
}

static unsigned matrix_rank()
{
	unsigned result = 0;
	symbol x("x"), y("y");
	matrix m(3,3);

	// the zero matrix always has rank 0
	if (m.rank() != 0) {
		clog << "The rank of " << m << " was not computed correctly." << endl;
		++result;
	}

	// a trivial rank one example
	m = 1, 0, 0,
	    2, 0, 0,
	    3, 0, 0;
	if (m.rank() != 1) {
		clog << "The rank of " << m << " was not computed correctly." << endl;
		++result;
	}

	// an example from Maple's help with rank two
	m = x,  1,  0,
	    0,  0,  1,
	   x*y, y,  1;
	if (m.rank() != 2) {
		clog << "The rank of " << m << " was not computed correctly." << endl;
		++result;
	}

	// the 3x3 unit matrix has rank 3
	m = ex_to<matrix>(unit_matrix(3,3));
	if (m.rank() != 3) {
		clog << "The rank of " << m << " was not computed correctly." << endl;
		++result;
	}

	return result;	
}

static unsigned matrix_misc()
{
	unsigned result = 0;
	matrix m1(2,2);
	symbol a("a"), b("b"), c("c"), d("d"), e("e"), f("f");
	m1.set(0,0,a).set(0,1,b);
	m1.set(1,0,c).set(1,1,d);
	ex tr = trace(m1);
	
	// check a simple trace
	if (tr.compare(a+d)) {
		clog << "trace of 2x2 matrix " << m1
		     << " erroneously returned " << tr << endl;
		++result;
	}
	
	// and two simple transpositions
	matrix m2 = transpose(m1);
	if (m2(0,0) != a || m2(0,1) != c || m2(1,0) != b || m2(1,1) != d) {
		clog << "transpose of 2x2 matrix " << m1
			 << " erroneously returned " << m2 << endl;
		++result;
	}
	matrix m3(3,2);
	m3.set(0,0,a).set(0,1,b);
	m3.set(1,0,c).set(1,1,d);
	m3.set(2,0,e).set(2,1,f);
	if (transpose(transpose(m3)) != m3) {
		clog << "transposing 3x2 matrix " << m3 << " twice"
		     << " erroneously returned " << transpose(transpose(m3)) << endl;
		++result;
	}
	
	// produce a runtime-error by inverting a singular matrix and catch it
	matrix m4(2,2);
	matrix m5;
	bool caught = false;
	try {
		m5 = inverse(m4);
	} catch (std::runtime_error err) {
		caught = true;
	}
	if (!caught) {
		cerr << "singular 2x2 matrix " << m4
		     << " erroneously inverted to " << m5 << endl;
		++result;
	}
	
	return result;
}

unsigned exam_matrices()
{
	unsigned result = 0;
	
	cout << "examining symbolic matrix manipulations" << flush;
	clog << "----------symbolic matrix manipulations:" << endl;
	
	result += matrix_determinants();  cout << '.' << flush;
	result += matrix_invert1();  cout << '.' << flush;
	result += matrix_invert2();  cout << '.' << flush;
	result += matrix_invert3();  cout << '.' << flush;
	result += matrix_solve2();  cout << '.' << flush;
	result += matrix_evalm();  cout << "." << flush;
	result += matrix_rank();  cout << "." << flush;
	result += matrix_misc();  cout << '.' << flush;
	
	if (!result) {
		cout << " passed " << endl;
		clog << "(no output)" << endl;
	} else {
		cout << " failed " << endl;
	}
	
	return result;
}


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