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rAKA/test/test_common/test_voigt_helper.cc
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test_voigt_helper.cc
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/**
* @file test_voigt_helper.cc
*
* @author Nicolas Richart
*
* @date creation mer nov 13 2019
*
* @brief unit tests for VoigtHelper
*
* @section LICENSE
*
* Copyright (©) 2010-2011 EPFL (Ecole Polytechnique Fédérale de Lausanne)
* Laboratory (LSMS - Laboratoire de Simulation en Mécanique des Solides)
*
* Akantu is free software: you can redistribute it and/or modify it under the
* terms of the GNU Lesser General Public License as published by the Free
* Software Foundation, either version 3 of the License, or (at your option) any
* later version.
*
* Akantu 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 Lesser General Public License for more
* details.
*
* You should have received a copy of the GNU Lesser General Public License
* along with Akantu. If not, see <http://www.gnu.org/licenses/>.
*
*/
/* -------------------------------------------------------------------------- */
#include "aka_voigthelper.hh"
/* -------------------------------------------------------------------------- */
#include <gtest/gtest.h>
#include <unordered_map>
/* -------------------------------------------------------------------------- */
using namespace akantu;
template <class Dim_v> class VoigtHelperFixture : public ::testing::Test {
protected:
using voigt_h = VoigtHelper<Dim_v::value>;
constexpr static UInt dim = Dim_v::value;
VoigtHelperFixture() {
switch (this->dim) {
case 1: {
indices.push_back({0, 0});
matrix = Matrix<Real>{{10}};
vector = Vector<Real>{10};
vector_factor = Vector<Real>{10};
break;
}
case 2: {
indices.push_back({0, 0});
indices.push_back({1, 1});
indices.push_back({0, 1});
matrix = Matrix<Real>{{10, 33}, {0, 56}};
vector = Vector<Real>{10, 56, 33};
vector_factor = Vector<Real>{10, 56, 2 * 33};
break;
}
case 3: {
indices.push_back({0, 0});
indices.push_back({1, 1});
indices.push_back({2, 2});
indices.push_back({1, 2});
indices.push_back({0, 2});
indices.push_back({0, 1});
matrix = Matrix<Real>{{10, 33, 20}, {0, 56, 27}, {0, 0, 98}};
vector = Vector<Real>{10, 56, 98, 27, 20, 33};
vector_factor = Vector<Real>{10, 56, 98, 2 * 27, 2 * 20, 2 * 33};
break;
}
}
}
void SetUp() override {}
std::vector<std::pair<UInt, UInt>> indices;
Matrix<Real> matrix;
Vector<Real> vector;
Vector<Real> vector_factor;
};
template <UInt dim>
using spatial_dimension_t = std::integral_constant<UInt, dim>;
using TestTypes =
::testing::Types<spatial_dimension_t<1>, spatial_dimension_t<2>,
spatial_dimension_t<3>>;
TYPED_TEST_SUITE(VoigtHelperFixture, TestTypes);
TYPED_TEST(VoigtHelperFixture, Size) {
using voigt_h = typename TestFixture::voigt_h;
switch (this->dim) {
case 1:
EXPECT_EQ(voigt_h::size, 1);
break;
case 2:
EXPECT_EQ(voigt_h::size, 3);
break;
case 3:
EXPECT_EQ(voigt_h::size, 6);
break;
}
}
TYPED_TEST(VoigtHelperFixture, Indicies) {
using voigt_h = typename TestFixture::voigt_h;
for (UInt I = 0; I < voigt_h::size; ++I) {
EXPECT_EQ(this->indices[I].first, voigt_h::vec[I][0]);
EXPECT_EQ(this->indices[I].second, voigt_h::vec[I][1]);
}
}
TYPED_TEST(VoigtHelperFixture, Factors) {
using voigt_h = typename TestFixture::voigt_h;
for (UInt I = 0; I < voigt_h::size; ++I) {
if (I < this->dim) {
EXPECT_EQ(voigt_h::factors[I], 1);
} else {
EXPECT_EQ(voigt_h::factors[I], 2);
}
}
}
TYPED_TEST(VoigtHelperFixture, MatrixToVoight) {
using voigt_h = typename TestFixture::voigt_h;
auto voigt = voigt_h::matrixToVoigt(this->matrix);
for (UInt I = 0; I < voigt_h::size; ++I) {
EXPECT_EQ(voigt(I), this->vector(I));
}
}
TYPED_TEST(VoigtHelperFixture, MatrixToVoightFactors) {
using voigt_h = typename TestFixture::voigt_h;
auto voigt = voigt_h::matrixToVoigtWithFactors(this->matrix);
for (UInt I = 0; I < voigt_h::size; ++I) {
EXPECT_EQ(voigt(I), this->vector_factor(I));
}
}
TYPED_TEST(VoigtHelperFixture, VoightToMatrix) {
using voigt_h = typename TestFixture::voigt_h;
auto matrix = voigt_h::voigtToMatrix(this->vector);
for (UInt i = 0; i < this->dim; ++i) {
for (UInt j = 0; j < this->dim; ++j) {
EXPECT_EQ(matrix(i, j), this->matrix(std::min(i, j), std::max(i, j)));
}
}
}
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