reactphysics3d/testbed/nanogui/ext/eigen/test/sizeoverflow.cpp

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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2011 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#include "main.h"
#define VERIFY_THROWS_BADALLOC(a) { \
bool threw = false; \
try { \
a; \
} \
catch (std::bad_alloc&) { threw = true; } \
VERIFY(threw && "should have thrown bad_alloc: " #a); \
}
template<typename MatrixType>
void triggerMatrixBadAlloc(Index rows, Index cols)
{
VERIFY_THROWS_BADALLOC( MatrixType m(rows, cols) );
VERIFY_THROWS_BADALLOC( MatrixType m; m.resize(rows, cols) );
VERIFY_THROWS_BADALLOC( MatrixType m; m.conservativeResize(rows, cols) );
}
template<typename VectorType>
void triggerVectorBadAlloc(Index size)
{
VERIFY_THROWS_BADALLOC( VectorType v(size) );
VERIFY_THROWS_BADALLOC( VectorType v; v.resize(size) );
VERIFY_THROWS_BADALLOC( VectorType v; v.conservativeResize(size) );
}
void test_sizeoverflow()
{
// there are 2 levels of overflow checking. first in PlainObjectBase.h we check for overflow in rows*cols computations.
// this is tested in tests of the form times_itself_gives_0 * times_itself_gives_0
// Then in Memory.h we check for overflow in size * sizeof(T) computations.
// this is tested in tests of the form times_4_gives_0 * sizeof(float)
size_t times_itself_gives_0 = size_t(1) << (8 * sizeof(Index) / 2);
VERIFY(times_itself_gives_0 * times_itself_gives_0 == 0);
size_t times_4_gives_0 = size_t(1) << (8 * sizeof(Index) - 2);
VERIFY(times_4_gives_0 * 4 == 0);
size_t times_8_gives_0 = size_t(1) << (8 * sizeof(Index) - 3);
VERIFY(times_8_gives_0 * 8 == 0);
triggerMatrixBadAlloc<MatrixXf>(times_itself_gives_0, times_itself_gives_0);
triggerMatrixBadAlloc<MatrixXf>(times_itself_gives_0 / 4, times_itself_gives_0);
triggerMatrixBadAlloc<MatrixXf>(times_4_gives_0, 1);
triggerMatrixBadAlloc<MatrixXd>(times_itself_gives_0, times_itself_gives_0);
triggerMatrixBadAlloc<MatrixXd>(times_itself_gives_0 / 8, times_itself_gives_0);
triggerMatrixBadAlloc<MatrixXd>(times_8_gives_0, 1);
triggerVectorBadAlloc<VectorXf>(times_4_gives_0);
triggerVectorBadAlloc<VectorXd>(times_8_gives_0);
}