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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, mdimmdimmdim*mdim>;
			using stype = Eigen::Array<Real, mdimmdimmdim*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

muSpectre/tests/header_test_field_collections.cc46721b412ed9feat/split_sub_projects

header_test_field_collections.ccView Options

muSpectre/tests/header_test_field_collections.cc
46721b412ed9feat/split_sub_projects

header_test_field_collections.cc
View Options