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/***************************************************************************
VectorTest.h - description
-------------------
begin : Oct 25, 2010
copyright : (C) 2010 by Tomas Oberhuber
email : tomas.oberhuber@fjfi.cvut.cz
***************************************************************************/
/* See Copyright Notice in tnl/Copyright */
// NOTE: Vector = Array + VectorOperations, so we test Vector and VectorOperations at the same time
#pragma once
#ifdef HAVE_GTEST
#include <limits>
#include <TNL/Experimental/Arithmetics/Quad.h>
#include <TNL/Containers/Vector.h>
#include <TNL/Containers/VectorView.h>
#include "VectorTestSetup.h"
#include "gtest/gtest.h"
using namespace TNL;
using namespace TNL::Containers;
using namespace TNL::Containers::Algorithms;
using namespace TNL::Arithmetics;
// should be small enough to have fast tests, but larger than minGPUReductionDataSize
// and large enough to require multiple CUDA blocks for reduction
constexpr int VECTOR_TEST_SIZE = 5000;
TYPED_TEST( VectorTest, lpNorm )
{
using VectorType = typename TestFixture::VectorType;
using RealType = typename VectorType::RealType;
using VectorOperations = typename TestFixture::VectorOperations;
using ViewType = typename TestFixture::ViewType;
const int size = VECTOR_TEST_SIZE;
const RealType epsilon = 64 * std::numeric_limits< RealType >::epsilon();
VectorType v;
v.setSize( size );
ViewType v_view( v );
setConstantSequence( v, 1 );
const RealType expectedL1norm = size;
const RealType expectedL2norm = std::sqrt( size );
const RealType expectedL3norm = std::cbrt( size );
EXPECT_EQ( v.lpNorm( 1.0 ), expectedL1norm );
EXPECT_EQ( v.lpNorm( 2.0 ), expectedL2norm );
EXPECT_NEAR( v.lpNorm( 3.0 ), expectedL3norm, epsilon );
EXPECT_EQ( v_view.lpNorm( 1.0 ), expectedL1norm );
EXPECT_EQ( v_view.lpNorm( 2.0 ), expectedL2norm );
EXPECT_NEAR( v_view.lpNorm( 3.0 ), expectedL3norm, epsilon );
EXPECT_EQ( VectorOperations::getVectorLpNorm( v, 1.0 ), expectedL1norm );
EXPECT_EQ( VectorOperations::getVectorLpNorm( v, 2.0 ), expectedL2norm );
EXPECT_NEAR( VectorOperations::getVectorLpNorm( v, 3.0 ), expectedL3norm, epsilon );
}
TYPED_TEST( VectorTest, sum )
{
using VectorType = typename TestFixture::VectorType;
using VectorOperations = typename TestFixture::VectorOperations;
using ViewType = typename TestFixture::ViewType;
// this test expect an even size
const int size = VECTOR_TEST_SIZE % 2 ? VECTOR_TEST_SIZE - 1 : VECTOR_TEST_SIZE;
VectorType v;
v.setSize( size );
ViewType v_view( v );
setConstantSequence( v, 1 );
EXPECT_EQ( v.sum(), size );
EXPECT_EQ( v_view.sum(), size );
EXPECT_EQ( VectorOperations::getVectorSum( v ), size );
setLinearSequence( v );
EXPECT_EQ( v.sum(), 0.5 * size * ( size - 1 ) );
EXPECT_EQ( v_view.sum(), 0.5 * size * ( size - 1 ) );
EXPECT_EQ( VectorOperations::getVectorSum( v ), 0.5 * size * ( size - 1 ) );
setNegativeLinearSequence( v );
EXPECT_EQ( v.sum(), - 0.5 * size * ( size - 1 ) );
EXPECT_EQ( v_view.sum(), - 0.5 * size * ( size - 1 ) );
EXPECT_EQ( VectorOperations::getVectorSum( v ), - 0.5 * size * ( size - 1 ) );
setOscilatingSequence( v, 1.0 );
EXPECT_EQ( v.sum(), 0 );
EXPECT_EQ( v_view.sum(), 0 );
EXPECT_EQ( VectorOperations::getVectorSum( v ), 0 );
}
TYPED_TEST( VectorTest, differenceMax )
{
using VectorType = typename TestFixture::VectorType;
using VectorOperations = typename TestFixture::VectorOperations;
using ViewType = typename TestFixture::ViewType;
const int size = VECTOR_TEST_SIZE;
VectorType u( size ), v( size );
ViewType u_view( u ), v_view( v );
setLinearSequence( u );
setConstantSequence( v, size / 2 );
EXPECT_EQ( u.differenceMax( v ), size - 1 - size / 2 );
EXPECT_EQ( u_view.differenceMax( v_view ), size - 1 - size / 2 );
EXPECT_EQ( VectorOperations::getVectorDifferenceMax( u, v ), size - 1 - size / 2 );
}
TYPED_TEST( VectorTest, differenceMin )
{
using VectorType = typename TestFixture::VectorType;
using VectorOperations = typename TestFixture::VectorOperations;
using ViewType = typename TestFixture::ViewType;
const int size = VECTOR_TEST_SIZE;
VectorType u( size ), v( size );
ViewType u_view( u ), v_view( v );
setLinearSequence( u );
setConstantSequence( v, size / 2 );
EXPECT_EQ( u.differenceMin( v ), - size / 2 );
EXPECT_EQ( u_view.differenceMin( v_view ), - size / 2 );
EXPECT_EQ( VectorOperations::getVectorDifferenceMin( u, v ), - size / 2 );
EXPECT_EQ( v.differenceMin( u ), size / 2 - size + 1 );
EXPECT_EQ( v_view.differenceMin( u_view ), size / 2 - size + 1 );
EXPECT_EQ( VectorOperations::getVectorDifferenceMin( v, u ), size / 2 - size + 1 );
}
TYPED_TEST( VectorTest, differenceAbsMax )
{
using VectorType = typename TestFixture::VectorType;
using VectorOperations = typename TestFixture::VectorOperations;
using ViewType = typename TestFixture::ViewType;
// this test expects an odd size
const int size = VECTOR_TEST_SIZE % 2 ? VECTOR_TEST_SIZE : VECTOR_TEST_SIZE - 1;
VectorType u( size ), v( size );
ViewType u_view( u ), v_view( v );
setNegativeLinearSequence( u );
setConstantSequence( v, - size / 2 );
EXPECT_EQ( u.differenceAbsMax( v ), size - 1 - size / 2 );
EXPECT_EQ( u_view.differenceAbsMax( v_view ), size - 1 - size / 2 );
EXPECT_EQ( VectorOperations::getVectorDifferenceAbsMax( u, v ), size - 1 - size / 2 );
}
#endif // HAVE_GTEST
#include "../GtestMissingError.h"
int main( int argc, char* argv[] )
{
//Test();
//return 0;
#ifdef HAVE_GTEST
::testing::InitGoogleTest( &argc, argv );
return RUN_ALL_TESTS();
#else
throw GtestMissingError();
#endif
}