Homec4science
Diffusion µSpectre (feat/adjust_visualisation) Browse

muSpectre/tests/test_field_collections_2.cc
676022f5dfa6feat/adjust_visualisati…

Last Change
Raw File

test_field_collections_2.cc
View Options

/**
* @file test_field_collections_2.cc
*
* @author Till Junge <till.junge@epfl.ch>
*
* @date 23 Nov 2017
*
* @brief Continuation of tests from test_field_collection.cc, split for faster
* compilation
*
* 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 µSpectre; see the file COPYING. If not, write to the
* Free Software Foundation, Inc., 59 Temple Place - Suite 330,
* Boston, MA 02111-1307, USA.
*
* Additional permission under GNU GPL version 3 section 7
*
* If you modify this Program, or any covered work, by linking or combining it
* with proprietary FFT implementations or numerical libraries, containing parts
* covered by the terms of those libraries' licenses, the licensors of this
* Program grant you additional permission to convey the resulting work.
*/
#include "test_field_collections.hh"
#include "common/field_map_dynamic.hh"
namespace muSpectre {
BOOST_AUTO_TEST_SUITE(field_collection_tests);
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(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(static_cast<bool>(check()), true);
BOOST_CHECK_NO_THROW(itstart->setZero());
// check access subscripting
auto T3a = *it3;
auto T3b = itstart[diff];
BOOST_CHECK(
static_cast<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 :(, hence we can't write
// BOOST_CHECK_EQUAL(a, b);
// Workaround:
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_AUTO_TEST_SUITE_END();
} // namespace muSpectre
c4science · Help