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muSpectre/tests/header_test_field_collections.cc
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/**
* @file header_test_field_collections_1.cc
*
* @author Till Junge <till.junge@epfl.ch>
*
* @date 20 Sep 2017
*
* @brief Test the FieldCollection classes which provide fast optimized iterators
* over run-time typed fields
*
* Copyright © 2017 Till Junge
*
* µSpectre 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 3, or (at
* your option) any later version.
*
* µSpectre 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 GNU Emacs; see the file COPYING. If not, write to the
* Free Software Foundation, Inc., 59 Temple Place - Suite 330,
* Boston, MA 02111-1307, USA.
*/
#include "test_field_collections.hh"
#include "common/field_map_dynamic.hh"
namespace muSpectre {
BOOST_AUTO_TEST_SUITE(field_collection_tests);
BOOST_AUTO_TEST_CASE(simple) {
constexpr Dim_t sdim = 2;
using FC_t = GlobalFieldCollection<sdim>;
FC_t fc;
BOOST_CHECK_EQUAL(FC_t::spatial_dim(), sdim);
BOOST_CHECK_EQUAL(fc.get_spatial_dim(), sdim);
}
BOOST_FIXTURE_TEST_CASE_TEMPLATE(Simple_construction_test, F, test_collections, F) {
BOOST_CHECK_EQUAL(F::FC_t::spatial_dim(), F::sdim());
BOOST_CHECK_EQUAL(F::fc.get_spatial_dim(), F::sdim());
}
BOOST_FIXTURE_TEST_CASE_TEMPLATE(get_field2_test, F, test_collections, F) {
const auto order{2};
using FC_t = typename F::FC_t;
using TF_t = TensorField<FC_t, Real, order, F::mdim()>;
auto && myfield = make_field<TF_t>("TensorField real 2", F::fc);
using TensorMap = TensorFieldMap<FC_t, Real, order,F::mdim()>;
using MatrixMap = MatrixFieldMap<FC_t, Real, F::mdim(), F::mdim()>;
using ArrayMap = ArrayFieldMap<FC_t, Real, F::mdim(), F::mdim()>;
TensorMap TFM(myfield);
MatrixMap MFM(myfield);
ArrayMap AFM(myfield);
BOOST_CHECK_EQUAL(TFM.info_string(),
"Tensor(d, "+ std::to_string(order) +
"_o, " + std::to_string(F::mdim()) + "_d)");
BOOST_CHECK_EQUAL(MFM.info_string(),
"Matrix(d, "+ std::to_string(F::mdim()) +
"x" + std::to_string(F::mdim()) + ")");
BOOST_CHECK_EQUAL(AFM.info_string(),
"Array(d, "+ std::to_string(F::mdim()) +
"x" + std::to_string(F::mdim()) + ")");
}
BOOST_FIXTURE_TEST_CASE_TEMPLATE(multi_field_test, F, mult_collections, F) {
using FC_t = typename F::FC_t;
// possible maptypes for Real tensor fields
using T_type = Real;
using T_TFM1_t = TensorFieldMap<FC_t, T_type, order, F::mdim()>;
using T_TFM2_t = TensorFieldMap<FC_t, T_type, 2, F::mdim()*F::mdim()>; //! dangerous
using T4_Map_t = T4MatrixFieldMap<FC_t, Real, F::mdim()>;
// impossible maptypes for Real tensor fields
using T_SFM_t = ScalarFieldMap<FC_t, T_type>;
using T_MFM_t = MatrixFieldMap<FC_t, T_type, 1, 1>;
using T_AFM_t = ArrayFieldMap<FC_t, T_type, 1, 1>;
using T_MFMw1_t = MatrixFieldMap<FC_t, Int, 1, 2>;
using T_MFMw2_t = MatrixFieldMap<FC_t, Real, 1, 2>;
using T_MFMw3_t = MatrixFieldMap<FC_t, Complex, 1, 2>;
const std::string T_name{"Tensorfield Real o4"};
const std::string T_name_w{"TensorField Real o4 wrongname"};
BOOST_CHECK_THROW(T_SFM_t(F::fc.at(T_name)), FieldInterpretationError);
BOOST_CHECK_NO_THROW(T_TFM1_t(F::fc.at(T_name)));
BOOST_CHECK_NO_THROW(T_TFM2_t(F::fc.at(T_name)));
BOOST_CHECK_NO_THROW(T4_Map_t(F::fc.at(T_name)));
BOOST_CHECK_THROW(T4_Map_t(F::fc.at(T_name_w)), std::out_of_range);
BOOST_CHECK_THROW(T_MFM_t(F::fc.at(T_name)), FieldInterpretationError);
BOOST_CHECK_THROW(T_AFM_t(F::fc.at(T_name)), FieldInterpretationError);
BOOST_CHECK_THROW(T_MFMw1_t(F::fc.at(T_name)), FieldInterpretationError);
BOOST_CHECK_THROW(T_MFMw2_t(F::fc.at(T_name)), FieldInterpretationError);
BOOST_CHECK_THROW(T_MFMw2_t(F::fc.at(T_name)), FieldInterpretationError);
BOOST_CHECK_THROW(T_MFMw3_t(F::fc.at(T_name)), FieldInterpretationError);
BOOST_CHECK_THROW(T_SFM_t(F::fc.at(T_name_w)), std::out_of_range);
// possible maptypes for integer scalar fields
using S_type = Int;
using S_SFM_t = ScalarFieldMap<FC_t, S_type>;
using S_TFM1_t = TensorFieldMap<FC_t, S_type, 1, 1>;
using S_TFM2_t = TensorFieldMap<FC_t, S_type, 2, 1>;
using S_MFM_t = MatrixFieldMap<FC_t, S_type, 1, 1>;
using S_AFM_t = ArrayFieldMap<FC_t, S_type, 1, 1>;
using S4_Map_t = T4MatrixFieldMap<FC_t, S_type, 1>;
// impossible maptypes for integer scalar fields
using S_MFMw1_t = MatrixFieldMap<FC_t, Int, 1, 2>;
using S_MFMw2_t = MatrixFieldMap<FC_t, Real, 1, 2>;
using S_MFMw3_t = MatrixFieldMap<FC_t, Complex, 1, 2>;
const std::string S_name{"integer Scalar"};
const std::string S_name_w{"integer Scalar wrongname"};
BOOST_CHECK_NO_THROW(S_SFM_t(F::fc.at(S_name)));
BOOST_CHECK_NO_THROW(S_TFM1_t(F::fc.at(S_name)));
BOOST_CHECK_NO_THROW(S_TFM2_t(F::fc.at(S_name)));
BOOST_CHECK_NO_THROW(S_MFM_t(F::fc.at(S_name)));
BOOST_CHECK_NO_THROW(S_AFM_t(F::fc.at(S_name)));
BOOST_CHECK_NO_THROW(S4_Map_t(F::fc.at(S_name)));
BOOST_CHECK_THROW(S_MFMw1_t(F::fc.at(S_name)), FieldInterpretationError);
BOOST_CHECK_THROW(T4_Map_t(F::fc.at(S_name)), FieldInterpretationError);
BOOST_CHECK_THROW(S_MFMw2_t(F::fc.at(S_name)), FieldInterpretationError);
BOOST_CHECK_THROW(S_MFMw2_t(F::fc.at(S_name)), FieldInterpretationError);
BOOST_CHECK_THROW(S_MFMw3_t(F::fc.at(S_name)), FieldInterpretationError);
BOOST_CHECK_THROW(S_SFM_t(F::fc.at(S_name_w)), std::out_of_range);
// possible maptypes for complex matrix fields
using M_type = Complex;
using M_MFM_t = MatrixFieldMap<FC_t, M_type, F::sdim(), F::mdim()>;
using M_AFM_t = ArrayFieldMap<FC_t, M_type, F::sdim(), F::mdim()>;
// impossible maptypes for complex matrix fields
using M_SFM_t = ScalarFieldMap<FC_t, M_type>;
using M_MFMw1_t = MatrixFieldMap<FC_t, Int, 1, 2>;
using M_MFMw2_t = MatrixFieldMap<FC_t, Real, 1, 2>;
using M_MFMw3_t = MatrixFieldMap<FC_t, Complex, 1, 2>;
const std::string M_name{"Matrixfield Complex sdim x mdim"};
const std::string M_name_w{"Matrixfield Complex sdim x mdim wrongname"};
BOOST_CHECK_THROW(M_SFM_t(F::fc.at(M_name)), FieldInterpretationError);
BOOST_CHECK_NO_THROW(M_MFM_t(F::fc.at(M_name)));
BOOST_CHECK_NO_THROW(M_AFM_t(F::fc.at(M_name)));
BOOST_CHECK_THROW(M_MFMw1_t(F::fc.at(M_name)), FieldInterpretationError);
BOOST_CHECK_THROW(M_MFMw2_t(F::fc.at(M_name)), FieldInterpretationError);
BOOST_CHECK_THROW(M_MFMw2_t(F::fc.at(M_name)), FieldInterpretationError);
BOOST_CHECK_THROW(M_MFMw3_t(F::fc.at(M_name)), FieldInterpretationError);
BOOST_CHECK_THROW(M_SFM_t(F::fc.at(M_name_w)), std::out_of_range);
}
/* ---------------------------------------------------------------------- */
//! Check whether fields can be initialized
using mult_collections_t = boost::mpl::list<FC_multi_fixture<2, 2, true>,
FC_multi_fixture<2, 3, true>,
FC_multi_fixture<3, 3, true>>;
using mult_collections_f = boost::mpl::list<FC_multi_fixture<2, 2, false>,
FC_multi_fixture<2, 3, false>,
FC_multi_fixture<3, 3, false>>;
BOOST_FIXTURE_TEST_CASE_TEMPLATE(init_test_glob, F, mult_collections_t, F) {
Ccoord_t<F::sdim()> size;
Ccoord_t<F::sdim()> loc{};
for (auto && s: size) {
s = 3;
}
BOOST_CHECK_NO_THROW(F::fc.initialise(size, loc));
}
BOOST_FIXTURE_TEST_CASE_TEMPLATE(init_test_loca, F, mult_collections_f, F) {
testGoodies::RandRange<Int> rng;
for (int i = 0; i < 7; ++i) {
Ccoord_t<F::sdim()> pixel;
for (auto && s: pixel) {
s = rng.randval(0, 7);
}
F::fc.add_pixel(pixel);
}
BOOST_CHECK_NO_THROW(F::fc.initialise());
}
BOOST_FIXTURE_TEST_CASE_TEMPLATE(init_test_loca_with_push_back, F,
mult_collections_f, F) {
constexpr auto mdim{F::mdim()};
constexpr int nb_pix{7};
testGoodies::RandRange<Int> rng{};
using ftype = internal::TypedSizedFieldBase<
decltype(F::fc), Real, mdim*mdim*mdim*mdim>;
using stype = Eigen::Array<Real, mdim*mdim*mdim*mdim, 1>;
auto & field = static_cast<ftype&>(F::fc["Tensorfield Real o4"]);
field.push_back(stype());
for (int i = 0; i < nb_pix; ++i) {
Ccoord_t<F::sdim()> pixel;
for (auto && s: pixel) {
s = rng.randval(0, 7);
}
F::fc.add_pixel(pixel);
}
BOOST_CHECK_THROW(F::fc.initialise(), FieldCollectionError);
for (int i = 0; i < nb_pix-1; ++i) {
field.push_back(stype());
}
BOOST_CHECK_NO_THROW(F::fc.initialise());
}
BOOST_FIXTURE_TEST_CASE_TEMPLATE(iter_field_test, F, iter_collections, F) {
using FC_t = typename F::Parent::FC_t;
using Tensor4Map = TensorFieldMap<FC_t, Real, order, F::Parent::mdim()>;
Tensor4Map T4map{F::fc["Tensorfield Real o4"]};
TypedFieldMap<FC_t, Real> dyn_map{F::fc["Tensorfield Real o4"]};
F::fc["Tensorfield Real o4"].set_zero();
for (auto && tens:T4map) {
BOOST_CHECK_EQUAL(Real(Eigen::Tensor<Real, 0>(tens.abs().sum().eval())()), 0);
}
for (auto && tens: T4map) {
tens.setRandom();
}
for (auto && tup: akantu::zip(T4map, dyn_map) ) {
auto & tens = std::get<0>(tup);
auto & dyn = std::get<1>(tup);
constexpr Dim_t nb_comp{ipow(F::mdim(), order)};
Eigen::Map<Eigen::Array<Real, nb_comp, 1>> tens_arr(tens.data());
Real error{(dyn-tens_arr).matrix().norm()};
BOOST_CHECK_EQUAL(error, 0);
}
using Tensor2Map = TensorFieldMap<FC_t, Real, matrix_order, F::Parent::mdim()>;
using MSqMap = MatrixFieldMap<FC_t, Real, F::Parent::mdim(), F::Parent::mdim()>;
using ASqMap = ArrayFieldMap<FC_t, Real, F::Parent::mdim(), F::Parent::mdim()>;
using A2Map = ArrayFieldMap<FC_t, Real, 3, 4>;
using WrongMap = ArrayFieldMap<FC_t, Real, 7, 4>;
Tensor2Map T2map{F::fc["Tensorfield Real o2"]};
MSqMap Mmap{F::fc["Tensorfield Real o2"]};
ASqMap Amap{F::fc["Tensorfield Real o2"]};
A2Map DynMap{F::fc["Dynamically sized Field"]};
auto & fc_ref{F::fc};
BOOST_CHECK_THROW(WrongMap{fc_ref["Dynamically sized Field"]},
FieldInterpretationError);
auto t2_it = T2map.begin();
auto t2_it_end = T2map.end();
auto m_it = Mmap.begin();
auto a_it = Amap.begin();
for (; t2_it != t2_it_end; ++t2_it, ++m_it, ++a_it) {
t2_it->setRandom();
auto && m = *m_it;
bool comp = (m == a_it->matrix());
BOOST_CHECK(comp);
}
size_t counter{0};
for (auto val: DynMap) {
++counter;
val += val.Ones()*counter;
}
counter = 0;
for (auto val: DynMap) {
++counter;
val -= val.Ones()*counter;
auto error {val.matrix().norm()};
BOOST_CHECK_LT(error, tol);
}
using ScalarMap = ScalarFieldMap<FC_t, Int>;
ScalarMap s_map{F::fc["integer Scalar"]};
for (Uint i = 0; i < s_map.size(); ++i) {
s_map[i] = i;
}
counter = 0;
for (const auto& val: s_map) {
BOOST_CHECK_EQUAL(counter++, val);
}
}
BOOST_FIXTURE_TEST_CASE_TEMPLATE(ccoord_indexing_test, F, glob_iter_colls, F) {
using FC_t = typename F::Parent::FC_t;
using ScalarMap = ScalarFieldMap<FC_t, Int>;
ScalarMap s_map{F::fc["integer Scalar"]};
for (Uint i = 0; i < s_map.size(); ++i) {
s_map[i] = i;
}
for (size_t i = 0; i < CcoordOps::get_size(F::fc.get_sizes()); ++i) {
BOOST_CHECK_EQUAL(CcoordOps::get_index(F::fc.get_sizes(),
F::fc.get_locations(),
CcoordOps::get_ccoord
(F::fc.get_sizes(),
F::fc.get_locations(),
i)), i);
}
}
BOOST_FIXTURE_TEST_CASE_TEMPLATE(iterator_methods_test, F, iter_collections, F) {
using FC_t = typename F::Parent::FC_t;
using Tensor4Map = TensorFieldMap<FC_t, Real, order, F::Parent::mdim()>;
Tensor4Map T4map{F::fc["Tensorfield Real o4"]};
using it_t = typename Tensor4Map::iterator;
std::ptrdiff_t diff{3}; // arbitrary, as long as it is smaller than the container size
// check constructors
auto itstart = T4map.begin(); // standard way of obtaining iterator
auto itend = T4map.end(); // ditto
it_t it1{T4map};
it_t it2{T4map, false};
it_t it3{T4map, size_t(diff)};
BOOST_CHECK(itstart == itstart);
BOOST_CHECK(itstart != itend);
BOOST_CHECK_EQUAL(itstart, it1);
BOOST_CHECK_EQUAL(itend, it2);
// check ostream operator
std::stringstream response;
response << it3;
BOOST_CHECK_EQUAL
(response.str(),
std::string
("iterator on field 'Tensorfield Real o4', entry ") +
std::to_string(diff));
// check move and assigment constructor (and operator+)
it_t it_repl{T4map};
it_t itmove = std::move(T4map.begin());
it_t it4 = it1+diff;
it_t it7 = it4 -diff;
//BOOST_CHECK_EQUAL(itcopy, it1);
BOOST_CHECK_EQUAL(itmove, it1);
BOOST_CHECK_EQUAL(it4, it3);
BOOST_CHECK_EQUAL(it7, it1);
// check increments/decrements
BOOST_CHECK_EQUAL(it1++, it_repl); // post-increment
BOOST_CHECK_EQUAL(it1, it_repl+1);
BOOST_CHECK_EQUAL(--it1, it_repl); // pre -decrement
BOOST_CHECK_EQUAL(++it1, it_repl+1); // pre -increment
BOOST_CHECK_EQUAL(it1--, it_repl+1); // post-decrement
BOOST_CHECK_EQUAL(it1, it_repl);
// dereference and member-of-pointer check
Eigen::Tensor<Real, 4> Tens = *it1;
Eigen::Tensor<Real, 4> Tens2 = *itstart;
Eigen::Tensor<bool, 0> check = (Tens==Tens2).all();
BOOST_CHECK_EQUAL(bool(check()), true);
BOOST_CHECK_NO_THROW(itstart->setZero());
//check access subscripting
auto T3a = *it3;
auto T3b = itstart[diff];
BOOST_CHECK(bool(Eigen::Tensor<bool, 0>((T3a==T3b).all())()));
// div. comparisons
BOOST_CHECK_LT(itstart, itend);
BOOST_CHECK(!(itend < itstart));
BOOST_CHECK(!(itstart < itstart));
BOOST_CHECK_LE(itstart, itend);
BOOST_CHECK_LE(itstart, itstart);
BOOST_CHECK(!(itend <= itstart));
BOOST_CHECK_GT(itend, itstart);
BOOST_CHECK(!(itend>itend));
BOOST_CHECK(!(itstart>itend));
BOOST_CHECK_GE(itend, itstart);
BOOST_CHECK_GE(itend, itend);
BOOST_CHECK(!(itstart >= itend));
// check assignment increment/decrement
BOOST_CHECK_EQUAL(it1+=diff, it3);
BOOST_CHECK_EQUAL(it1-=diff, itstart);
// check cell coordinates
using Ccoord = Ccoord_t<F::sdim()>;
Ccoord a{itstart.get_ccoord()};
Ccoord b{0};
// Weirdly, boost::has_left_shift<std::ostream, T>::value is false for Ccoords, even though the operator is implemented :(
//BOOST_CHECK_EQUAL(a, b);
bool check2 = (a==b);
BOOST_CHECK(check2);
}
BOOST_FIXTURE_TEST_CASE_TEMPLATE(const_tensor_iter_test, F, iter_collections, F) {
using FC_t = typename F::Parent::FC_t;
using Tensor4Map = TensorFieldMap<FC_t, Real, order, F::Parent::mdim()>;
Tensor4Map T4map{F::fc["Tensorfield Real o4"]};
using T_t = typename Tensor4Map::T_t;
Eigen::TensorMap<const T_t> Tens2(T4map[0].data(), F::Parent::sdim(), F::Parent::sdim(), F::Parent::sdim(), F::Parent::sdim());
for (auto it = T4map.cbegin(); it != T4map.cend(); ++it) {
// maps to const tensors can't be initialised with a const pointer this sucks
auto&& tens = *it;
auto&& ptr = tens.data();
static_assert(std::is_pointer<std::remove_reference_t<decltype(ptr)>>::value, "should be getting a pointer");
//static_assert(std::is_const<std::remove_pointer_t<decltype(ptr)>>::value, "should be const");
// If Tensor were written well, above static_assert should pass, and the
// following check shouldn't. If it get triggered, it means that a newer
// version of Eigen now does have const-correct
// TensorMap<const Tensor<...>. This means that const-correct field maps
// are then also possible for tensors
BOOST_CHECK(!std::is_const<std::remove_pointer_t<decltype(ptr)>>::value);
}
}
BOOST_FIXTURE_TEST_CASE_TEMPLATE(const_matrix_iter_test, F, iter_collections, F) {
using FC_t = typename F::Parent::FC_t;
using MatrixMap = MatrixFieldMap<FC_t, Complex, F::sdim(), F::mdim()>;
MatrixMap Mmap{F::fc["Matrixfield Complex sdim x mdim"]};
for (auto it = Mmap.cbegin(); it != Mmap.cend(); ++it) {
// maps to const tensors can't be initialised with a const pointer this sucks
auto&& mat = *it;
auto&& ptr = mat.data();
static_assert(std::is_pointer<std::remove_reference_t<decltype(ptr)>>::value, "should be getting a pointer");
//static_assert(std::is_const<std::remove_pointer_t<decltype(ptr)>>::value, "should be const");
// If Matrix were written well, above static_assert should pass, and the
// following check shouldn't. If it get triggered, it means that a newer
// version of Eigen now does have const-correct
// MatrixMap<const Matrix<...>. This means that const-correct field maps
// are then also possible for matrices
BOOST_CHECK(!std::is_const<std::remove_pointer_t<decltype(ptr)>>::value);
}
}
BOOST_FIXTURE_TEST_CASE_TEMPLATE(const_scalar_iter_test, F, iter_collections, F) {
using FC_t = typename F::Parent::FC_t;
using ScalarMap = ScalarFieldMap<FC_t, Int>;
ScalarMap Smap{F::fc["integer Scalar"]};
for (auto it = Smap.cbegin(); it != Smap.cend(); ++it) {
auto&& scal = *it;
static_assert(std::is_const<std::remove_reference_t<decltype(scal)>>::value,
"referred type should be const");
static_assert(std::is_lvalue_reference<decltype(scal)>::value,
"Should have returned an lvalue ref");
}
}
/* ---------------------------------------------------------------------- */
BOOST_FIXTURE_TEST_CASE_TEMPLATE(assignment_test, Fix, iter_collections, Fix) {
auto t4map{Fix::t4_field.get_map()};
auto t2map{Fix::t2_field.get_map()};
auto scmap{Fix::sc_field.get_map()};
auto m2map{Fix::m2_field.get_map()};
auto dymap{Fix::dyn_field.get_map()};
auto t4map_c{Fix::t4_field.get_const_map()};
auto t2map_c{Fix::t2_field.get_const_map()};
auto scmap_c{Fix::sc_field.get_const_map()};
auto m2map_c{Fix::m2_field.get_const_map()};
auto dymap_c{Fix::dyn_field.get_const_map()};
const auto t4map_val{Matrices::Isymm<Fix::mdim()>()};
t4map = t4map_val;
const auto t2map_val{Matrices::I2<Fix::mdim()>()};
t2map = t2map_val;
const Int scmap_val{1};
scmap = scmap_val;
Eigen::Matrix<Complex, Fix::sdim(), Fix::mdim()> m2map_val;
m2map_val.setRandom();
m2map = m2map_val;
const size_t nb_pts{Fix::fc.size()};
testGoodies::RandRange<size_t> rnd{};
BOOST_CHECK_EQUAL((t4map[rnd.randval(0, nb_pts-1)] - t4map_val).norm(), 0.);
BOOST_CHECK_EQUAL((t2map[rnd.randval(0, nb_pts-1)] - t2map_val).norm(), 0.);
BOOST_CHECK_EQUAL((scmap[rnd.randval(0, nb_pts-1)] - scmap_val), 0.);
BOOST_CHECK_EQUAL((m2map[rnd.randval(0, nb_pts-1)] - m2map_val).norm(), 0.);
}
/* ---------------------------------------------------------------------- */
BOOST_FIXTURE_TEST_CASE_TEMPLATE(Eigentest, Fix, iter_collections, Fix) {
auto t4eigen = Fix::t4_field.eigen();
auto t2eigen = Fix::t2_field.eigen();
BOOST_CHECK_EQUAL(t4eigen.rows(), ipow(Fix::mdim(), 4));
BOOST_CHECK_EQUAL(t4eigen.cols(), Fix::t4_field.size());
using T2_t = typename Eigen::Matrix<Real, Fix::mdim(), Fix::mdim()>;
T2_t test_mat;
test_mat.setRandom();
Eigen::Map<Eigen::Array<Real, ipow(Fix::mdim(), 2), 1>> test_map(test_mat.data());
t2eigen.col(0) = test_map;
BOOST_CHECK_EQUAL((Fix::t2_field.get_map()[0] - test_mat).norm(), 0.);
}
/* ---------------------------------------------------------------------- */
BOOST_FIXTURE_TEST_CASE_TEMPLATE(field_proxy_test, Fix, iter_collections,
Fix) {
Eigen::VectorXd t4values{Fix::t4_field.eigenvec()};
using FieldProxy_t = TypedField<typename Fix::FC_t, Real>;
//! create a field proxy
FieldProxy_t proxy("proxy to 'Tensorfield Real o4'",
Fix::fc, t4values,
Fix::t4_field.get_nb_components());
Eigen::VectorXd wrong_size_not_multiple{
Eigen::VectorXd::Zero(t4values.size()+1)};
BOOST_CHECK_THROW(FieldProxy_t("size not a multiple of nb_components",
Fix::fc, wrong_size_not_multiple,
Fix::t4_field.get_nb_components()),
FieldError);
Eigen::VectorXd wrong_size_but_multiple{
Eigen::VectorXd::Zero(t4values.size()+
Fix::t4_field.get_nb_components())};
BOOST_CHECK_THROW(FieldProxy_t("size wrong multiple of nb_components",
Fix::fc, wrong_size_but_multiple,
Fix::t4_field.get_nb_components()),
FieldError);
using Tensor4Map = T4MatrixFieldMap<typename Fix::FC_t, Real, Fix::Parent::mdim()>;
Tensor4Map ref_map{Fix::t4_field};
Tensor4Map proxy_map{proxy};
for (auto tup: akantu::zip(ref_map, proxy_map)) {
auto & ref = std::get<0>(tup);
auto & prox = std::get<1>(tup);
BOOST_CHECK_EQUAL((ref-prox).norm(), 0);
}
}
/* ---------------------------------------------------------------------- */
BOOST_FIXTURE_TEST_CASE_TEMPLATE(field_proxy_of_existing_field, Fix, iter_collections, Fix ) {
Eigen::Ref<Eigen::VectorXd> t4values{Fix::t4_field.eigenvec()};
using FieldProxy_t = TypedField<typename Fix::FC_t, Real>;
//! create a field proxy
FieldProxy_t proxy("proxy to 'Tensorfield Real o4'",
Fix::fc, t4values,
Fix::t4_field.get_nb_components());
using Tensor4Map = T4MatrixFieldMap<typename Fix::FC_t, Real, Fix::Parent::mdim()>;
Tensor4Map ref_map{Fix::t4_field};
Tensor4Map proxy_map{proxy};
for (auto tup: akantu::zip(ref_map, proxy_map)) {
auto & ref = std::get<0>(tup);
auto & prox = std::get<1>(tup);
prox += prox.Identity();
BOOST_CHECK_EQUAL((ref-prox).norm(), 0);
}
}
/* ---------------------------------------------------------------------- */
BOOST_FIXTURE_TEST_CASE_TEMPLATE(typed_field_getter, Fix,
mult_collections, Fix) {
constexpr auto mdim{Fix::mdim()};
auto & fc{Fix::fc};
auto & field = fc.template get_typed_field<Real>("Tensorfield Real o4");
BOOST_CHECK_EQUAL(field.get_nb_components(), ipow(mdim, fourthOrder));
}
/* ---------------------------------------------------------------------- */
BOOST_FIXTURE_TEST_CASE_TEMPLATE(enumeration, Fix, iter_collections, Fix) {
auto t4map{Fix::t4_field.get_map()};
auto t2map{Fix::t2_field.get_map()};
auto scmap{Fix::sc_field.get_map()};
auto m2map{Fix::m2_field.get_map()};
auto dymap{Fix::dyn_field.get_map()};
for (auto && tup: akantu::zip(scmap.get_collection(), scmap,
scmap.enumerate())) {
const auto & ccoord_ref = std::get<0>(tup);
const auto & val_ref = std::get<1>(tup);
const auto & key_val = std::get<2>(tup);
const auto & ccoord = std::get<0>(key_val);
const auto & val = std::get<1>(key_val);
for (auto && ccoords: akantu::zip(ccoord_ref, ccoord)) {
const auto & ref{std::get<0>(ccoords)};
const auto & val{std::get<1>(ccoords)};
BOOST_CHECK_EQUAL(ref, val);
}
const auto error{std::abs(val-val_ref)};
BOOST_CHECK_EQUAL(error, 0);
}
for (auto && tup: akantu::zip(t4map.get_collection(), t4map,
t4map.enumerate())) {
const auto & ccoord_ref = std::get<0>(tup);
const auto & val_ref = std::get<1>(tup);
const auto & key_val = std::get<2>(tup);
const auto & ccoord = std::get<0>(key_val);
const auto & val = std::get<1>(key_val);
for (auto && ccoords: akantu::zip(ccoord_ref, ccoord)) {
const auto & ref{std::get<0>(ccoords)};
const auto & val{std::get<1>(ccoords)};
BOOST_CHECK_EQUAL(ref, val);
}
const auto error{(val-val_ref).norm()};
BOOST_CHECK_EQUAL(error, 0);
}
for (auto && tup: akantu::zip(t2map.get_collection(), t2map,
t2map.enumerate())) {
const auto & ccoord_ref = std::get<0>(tup);
const auto & val_ref = std::get<1>(tup);
const auto & key_val = std::get<2>(tup);
const auto & ccoord = std::get<0>(key_val);
const auto & val = std::get<1>(key_val);
for (auto && ccoords: akantu::zip(ccoord_ref, ccoord)) {
const auto & ref{std::get<0>(ccoords)};
const auto & val{std::get<1>(ccoords)};
BOOST_CHECK_EQUAL(ref, val);
}
const auto error{(val-val_ref).norm()};
BOOST_CHECK_EQUAL(error, 0);
}
for (auto && tup: akantu::zip(m2map.get_collection(), m2map,
m2map.enumerate())) {
const auto & ccoord_ref = std::get<0>(tup);
const auto & val_ref = std::get<1>(tup);
const auto & key_val = std::get<2>(tup);
const auto & ccoord = std::get<0>(key_val);
const auto & val = std::get<1>(key_val);
for (auto && ccoords: akantu::zip(ccoord_ref, ccoord)) {
const auto & ref{std::get<0>(ccoords)};
const auto & val{std::get<1>(ccoords)};
BOOST_CHECK_EQUAL(ref, val);
}
const auto error{(val-val_ref).norm()};
BOOST_CHECK_EQUAL(error, 0);
}
for (auto && tup: akantu::zip(dymap.get_collection(), dymap,
dymap.enumerate())) {
const auto & ccoord_ref = std::get<0>(tup);
const auto & val_ref = std::get<1>(tup);
const auto & key_val = std::get<2>(tup);
const auto & ccoord = std::get<0>(key_val);
const auto & val = std::get<1>(key_val);
for (auto && ccoords: akantu::zip(ccoord_ref, ccoord)) {
const auto & ref{std::get<0>(ccoords)};
const auto & val{std::get<1>(ccoords)};
BOOST_CHECK_EQUAL(ref, val);
}
const auto error{(val-val_ref).matrix().norm()};
BOOST_CHECK_EQUAL(error, 0);
}
}
BOOST_AUTO_TEST_SUITE_END();
} // muSpectre
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