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486 lines
17 KiB
C++
486 lines
17 KiB
C++
/*
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Copyright 2020 OPM-OP AS
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Copyright 2015 Dr. Blatt - HPC-Simulation-Software & Services.
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This file is part of the Open Porous Media project (OPM).
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OPM is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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OPM is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with OPM. If not, see <http://www.gnu.org/licenses/>.
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*/
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#include<config.h>
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#include<opm/simulators/wells/ParallelWellInfo.hpp>
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#include <opm/simulators/utils/ParallelCommunication.hpp>
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#include <dune/common/version.hh>
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#include<vector>
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#include<string>
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#include<tuple>
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#include<ostream>
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#include <random>
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#include <algorithm>
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#include <iterator>
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#define BOOST_TEST_MODULE ParallelWellInfo
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#include <boost/test/unit_test.hpp>
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class MPIError {
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public:
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/** @brief Constructor. */
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MPIError(std::string s, int e) : errorstring(s), errorcode(e){}
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/** @brief The error string. */
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std::string errorstring;
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/** @brief The mpi error code. */
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int errorcode;
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};
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#ifdef HAVE_MPI
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void MPI_err_handler(MPI_Comm *, int *err_code, ...){
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char *err_string=new char[MPI_MAX_ERROR_STRING];
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int err_length;
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MPI_Error_string(*err_code, err_string, &err_length);
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std::string s(err_string, err_length);
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std::cerr << "An MPI Error ocurred:"<<std::endl<<s<<std::endl;
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delete[] err_string;
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throw MPIError(s, *err_code);
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}
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#endif
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struct MPIFixture
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{
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MPIFixture()
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{
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#if HAVE_MPI
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int m_argc = boost::unit_test::framework::master_test_suite().argc;
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char** m_argv = boost::unit_test::framework::master_test_suite().argv;
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helper = &Dune::MPIHelper::instance(m_argc, m_argv);
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#ifdef MPI_2
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MPI_Comm_create_errhandler(MPI_err_handler, &handler);
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MPI_Comm_set_errhandler(MPI_COMM_WORLD, handler);
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#else
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MPI_Errhandler_create(MPI_err_handler, &handler);
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MPI_Errhandler_set(MPI_COMM_WORLD, handler);
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#endif
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#endif
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}
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~MPIFixture()
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{
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#if HAVE_MPI
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MPI_Finalize();
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#endif
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}
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Dune::MPIHelper* helper;
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#if HAVE_MPI
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MPI_Errhandler handler;
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#endif
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};
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BOOST_GLOBAL_FIXTURE(MPIFixture);
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// Needed for BOOST_CHECK_EQUAL_COLLECTIONS
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namespace std
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{
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std::ostream& operator<<(std::ostream& os, const std::pair<std::string, bool>& p)
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{
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return os << "{" << p.first << " "<< p.second << "}";
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}
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}
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namespace Opm
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{
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std::ostream& operator<<(std::ostream& os, const Opm::ParallelWellInfo<double>& w)
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{
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return os << "{" << w.name() << " "<< w.hasLocalCells() << " "<<
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w.isOwner() << "}";
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}
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}
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constexpr int numPerProc = 3;
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BOOST_AUTO_TEST_CASE(ParallelWellComparison)
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{
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int argc = 0;
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char** argv = nullptr;
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const auto& helper = Dune::MPIHelper::instance(argc, argv);
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std::vector<std::pair<std::string,bool>> pairs;
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if (helper.rank() == 0)
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pairs = {{"Test1", true},{"Test2", true}, {"Test1", false} };
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else
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pairs = {{"Test1", false},{"Test2", true}, {"Test1", true} };
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std::vector<Opm::ParallelWellInfo<double>> well_info;
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for (const auto& wellinfo : pairs) {
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well_info.emplace_back(wellinfo, Opm::Parallel::Communication());
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}
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//well_info.assign(pairs.begin(), pairs.end());
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BOOST_CHECK_EQUAL_COLLECTIONS(pairs.begin(), pairs.end(),
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well_info.begin(), well_info.end());
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BOOST_CHECK_EQUAL_COLLECTIONS(well_info.begin(), well_info.end(),
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pairs.begin(), pairs.end());
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BOOST_CHECK(well_info[0] < pairs[1]);
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BOOST_CHECK(pairs[0] != well_info[1]);
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BOOST_CHECK(pairs[0] < well_info[1]);
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BOOST_CHECK(well_info[0] == pairs[0]);
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BOOST_CHECK(well_info[0] != well_info[1]);
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Opm::ParallelWellInfo<double> well0, well1;
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BOOST_CHECK(well0 == well1);
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#if HAVE_MPI
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BOOST_CHECK(well0.communication()==helper.getLocalCommunicator());
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#endif
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Opm::ParallelWellInfo<double> well2("Test", false);
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std::pair<std::string, bool> pwell={"Test", true};
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BOOST_CHECK(well2 < pwell);
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Opm::ParallelWellInfo<double> well3("Test", true);
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BOOST_CHECK(! (well3 < pwell));
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pwell.second = false;
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BOOST_CHECK(! (well3 < pwell));
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if (helper.rank() == 0)
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BOOST_CHECK(well_info[0].communication().size()==1);
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#if HAVE_MPI
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Opm::Parallel::Communication comm{MPI_COMM_WORLD};
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BOOST_CHECK(well_info[1].communication().size() == comm.size());
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if (helper.rank() > 0)
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{
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BOOST_CHECK(well_info[2].communication().size() == comm.size()-1);
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}
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#endif
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}
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BOOST_AUTO_TEST_CASE(CommunicateAboveBelowSelf)
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{
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auto comm = Dune::MPIHelper::getLocalCommunicator();
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Opm::CommunicateAboveBelow<double> commAboveBelow{ comm };
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for(std::size_t count=0; count < 2; ++count)
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{
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std::vector<int> eclIndex = {0, 1, 2, 3, 7 , 8, 10, 11};
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std::vector<double> current(eclIndex.size());
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std::transform(eclIndex.begin(), eclIndex.end(), current.begin(),
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[](double v){ return 1+10.0*v;});
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commAboveBelow.beginReset();
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for (std::size_t i = 0; i < current.size(); ++i)
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{
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if (i==0)
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commAboveBelow.pushBackEclIndex(-1, eclIndex[i]);
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else
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commAboveBelow.pushBackEclIndex(eclIndex[i-1], eclIndex[i]);
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}
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commAboveBelow.endReset();
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auto above = commAboveBelow.communicateAbove(-10.0, current.data(), current.size());
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BOOST_CHECK(above[0]==-10.0);
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BOOST_CHECK(above.size() == current.size());
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auto a = above.begin()+1;
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std::for_each(current.begin(), current.begin() + (current.size()-1),
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[&a](double v){ BOOST_CHECK(*(a++) == v);});
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auto below = commAboveBelow.communicateBelow(-10.0, current.data(), current.size());
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BOOST_CHECK(below.back() == -10.0);
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BOOST_CHECK(below.size() == current.size());
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auto b = below.begin();
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std::for_each(current.begin()+1, current.end(),
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[&b](double v){ BOOST_CHECK(*(b++) == v);});
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}
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}
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BOOST_AUTO_TEST_CASE(CommunicateAboveBelowSelf1)
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{
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auto comm = Dune::MPIHelper::getLocalCommunicator();
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Opm::CommunicateAboveBelow<double> commAboveBelow{ comm };
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for(std::size_t count=0; count < 2; ++count)
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{
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std::vector<int> eclIndex = {0};
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std::vector<double> current(eclIndex.size());
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std::transform(eclIndex.begin(), eclIndex.end(), current.begin(),
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[](double v){ return 1+10.0*v;});
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commAboveBelow.beginReset();
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for (std::size_t i = 0; i < current.size(); ++i)
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{
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if (i==0)
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commAboveBelow.pushBackEclIndex(-1, eclIndex[i]);
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else
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commAboveBelow.pushBackEclIndex(eclIndex[i-1], eclIndex[i]);
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}
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commAboveBelow.endReset();
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auto above = commAboveBelow.communicateAbove(-10.0, current.data(), current.size());
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BOOST_CHECK(above[0]==-10.0);
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BOOST_CHECK(above.size() == current.size());
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auto a = above.begin()+1;
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std::for_each(current.begin(), current.begin() + (current.size()-1),
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[&a](double v){ BOOST_CHECK(*(a++) == v);});
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auto below = commAboveBelow.communicateBelow(-10.0, current.data(), current.size());
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BOOST_CHECK(below.back() == -10.0);
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BOOST_CHECK(below.size() == current.size());
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auto b = below.begin();
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std::for_each(current.begin()+1, current.end(),
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[&b](double v){ BOOST_CHECK(*(b++) == v);});
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}
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}
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std::vector<int> createGlobalEclIndex(const Opm::Parallel::Communication& comm)
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{
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std::vector<int> globalEclIndex = {0, 1, 2, 3, 7 , 8, 10, 11};
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auto oldSize = globalEclIndex.size();
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std::size_t globalSize = numPerProc * comm.size();
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auto lastIndex = globalEclIndex.back();
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globalEclIndex.resize(globalSize);
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if ( globalSize > oldSize)
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{
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++lastIndex;
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for(auto entry = globalEclIndex.begin() + oldSize;
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entry != globalEclIndex.end(); ++entry, ++lastIndex)
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{
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*entry = lastIndex;
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}
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}
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return globalEclIndex;
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}
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template<class C>
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std::vector<double> populateCommAbove(C& commAboveBelow,
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const Opm::Parallel::Communication& comm,
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const std::vector<int>& globalEclIndex,
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const std::vector<double> globalCurrent,
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int num_component = 1,
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bool local_consecutive = false)
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{
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auto size = numPerProc * num_component;
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std::vector<double> current(size);
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commAboveBelow.beginReset();
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for (std::size_t i = 0; i < current.size()/num_component; i++)
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{
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auto gi = local_consecutive ? comm.rank() * numPerProc + i : comm.rank() + comm.size() * i;
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if (gi==0)
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{
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commAboveBelow.pushBackEclIndex(-1, globalEclIndex[gi]);
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}
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else
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{
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commAboveBelow.pushBackEclIndex(globalEclIndex[gi-1], globalEclIndex[gi]);
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}
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for(int c = 0; c < num_component; ++c)
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current[i * num_component + c] = globalCurrent[gi * num_component + c];
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}
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commAboveBelow.endReset();
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return current;
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}
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BOOST_AUTO_TEST_CASE(CommunicateAboveBelowParallel)
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{
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auto comm = Opm::Parallel::Communication(Dune::MPIHelper::getCommunicator());
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Opm::CommunicateAboveBelow<double> commAboveBelow{ comm };
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for(std::size_t count=0; count < 2; ++count)
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{
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auto globalEclIndex = createGlobalEclIndex(comm);
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std::vector<double> globalCurrent(globalEclIndex.size());
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std::transform(globalEclIndex.begin(), globalEclIndex.end(), globalCurrent.begin(),
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[](double v){ return 1+10.0*v;});
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auto current = populateCommAbove(commAboveBelow, comm, globalEclIndex, globalCurrent);
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auto above = commAboveBelow.communicateAbove(-10.0, current.data(), current.size());
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if (comm.rank() == 0)
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BOOST_CHECK(above[0]==-10.0);
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BOOST_CHECK(above.size() == current.size());
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for (std::size_t i = 0; i < current.size(); ++i)
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{
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auto gi = comm.rank() + comm.size() * i;
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if (gi > 0)
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{
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BOOST_CHECK(above[i]==globalCurrent[gi-1]);
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}
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}
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auto below = commAboveBelow.communicateBelow(-10.0, current.data(), current.size());
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if (comm.rank() == comm.size() - 1)
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BOOST_CHECK(below.back() == -10.0);
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BOOST_CHECK(below.size() == current.size());
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for (std::size_t i = 0; i < current.size(); ++i)
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{
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auto gi = comm.rank() + comm.size() * i;
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if (gi < globalCurrent.size() - 1)
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{
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BOOST_CHECK(below[i]==globalCurrent[gi+1]);
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}
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}
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}
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}
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template<class Iter, class C>
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void initRandomNumbers(Iter begin, Iter end, C comm)
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{
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// Initialize with random numbers.
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std::random_device rndDevice;
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std::mt19937 mersenneEngine {rndDevice()}; // Generates random integers
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std::uniform_int_distribution<int> dist {1, 100};
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auto gen = [&dist, &mersenneEngine](){
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return dist(mersenneEngine);
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};
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std::generate(begin, end, gen);
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comm.broadcast(&(*begin), end-begin, 0);
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}
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BOOST_AUTO_TEST_CASE(PartialSumself)
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{
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auto comm = Dune::MPIHelper::getLocalCommunicator();
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Opm::CommunicateAboveBelow<double> commAboveBelow{ comm };
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std::vector<int> eclIndex = {0, 1, 2, 3, 7 , 8, 10, 11};
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std::vector<double> current(eclIndex.size());
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std::transform(eclIndex.begin(), eclIndex.end(), current.begin(),
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[](double v){ return 1+10.0*v;});
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commAboveBelow.beginReset();
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for (std::size_t i = 0; i < current.size(); ++i)
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{
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if (i==0)
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commAboveBelow.pushBackEclIndex(-1, eclIndex[i]);
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else
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commAboveBelow.pushBackEclIndex(eclIndex[i-1], eclIndex[i]);
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}
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commAboveBelow.endReset();
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initRandomNumbers(std::begin(current), std::end(current),
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Opm::Parallel::Communication(comm));
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auto stdCopy = current;
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std::partial_sum(std::begin(stdCopy), std::end(stdCopy), std::begin(stdCopy));
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commAboveBelow.partialSumPerfValues(std::begin(current), std::end(current));
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BOOST_CHECK_EQUAL_COLLECTIONS(std::begin(stdCopy), std::end(stdCopy),
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std::begin(current), std::end(current));
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}
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BOOST_AUTO_TEST_CASE(PartialSumParallel)
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{
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auto comm = Opm::Parallel::Communication(Dune::MPIHelper::getCommunicator());
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Opm::CommunicateAboveBelow<double> commAboveBelow{ comm };
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auto globalEclIndex = createGlobalEclIndex(comm);
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std::vector<double> globalCurrent(globalEclIndex.size());
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initRandomNumbers(std::begin(globalCurrent), std::end(globalCurrent),
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Opm::Parallel::Communication(comm));
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auto localCurrent = populateCommAbove(commAboveBelow, comm,
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globalEclIndex, globalCurrent);
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auto globalPartialSum = globalCurrent;
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std::partial_sum(std::begin(globalPartialSum), std::end(globalPartialSum), std::begin(globalPartialSum));
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commAboveBelow.partialSumPerfValues(std::begin(localCurrent), std::end(localCurrent));
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for (std::size_t i = 0; i < localCurrent.size(); ++i)
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{
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auto gi = comm.rank() + comm.size() * i;
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BOOST_CHECK(localCurrent[i]==globalPartialSum[gi]);
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}
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}
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void testGlobalPerfFactoryParallel(int num_component, bool local_consecutive = false)
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{
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auto comm = Opm::Parallel::Communication(Dune::MPIHelper::getCommunicator());
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Opm::ParallelWellInfo<double> wellInfo{ {"Test", true }, comm };
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auto globalEclIndex = createGlobalEclIndex(comm);
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std::vector<double> globalCurrent(globalEclIndex.size() * num_component);
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std::vector<double> globalAdd(globalEclIndex.size() * num_component);
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initRandomNumbers(std::begin(globalCurrent), std::end(globalCurrent),
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comm);
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initRandomNumbers(std::begin(globalAdd), std::end(globalAdd),
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comm);
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auto localCurrent = populateCommAbove(wellInfo, comm, globalEclIndex,
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globalCurrent, num_component,
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local_consecutive);
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// A hack to get local values to add.
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Opm::ParallelWellInfo<double> dummy{ {"Test", true }, comm };
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auto localAdd = populateCommAbove(dummy, comm, globalEclIndex,
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globalAdd, num_component,
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local_consecutive);
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const auto& factory = wellInfo.getGlobalPerfContainerFactory();
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auto globalCreated = factory.createGlobal(localCurrent, num_component);
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BOOST_CHECK_EQUAL_COLLECTIONS(std::begin(globalCurrent), std::end(globalCurrent),
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std::begin(globalCreated), std::end(globalCreated));
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std::transform(std::begin(globalAdd), std::end(globalAdd),
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std::begin(globalCreated), std::begin(globalCreated),
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std::plus<double>());
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auto globalSol = globalCurrent;
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std::transform(std::begin(globalAdd), std::end(globalAdd),
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std::begin(globalSol), std::begin(globalSol),
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std::plus<double>());
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auto localSol = localCurrent;
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std::transform(std::begin(localAdd), std::end(localAdd),
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std::begin(localSol), std::begin(localSol),
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std::plus<double>());
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factory.copyGlobalToLocal(globalCreated, localCurrent, num_component);
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for (std::size_t i = 0; i < localCurrent.size() / num_component; ++i)
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{
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auto gi = local_consecutive ? comm.rank() * numPerProc + i :
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comm.rank() + comm.size() * i;
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for (int c = 0; c < num_component; ++c)
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{
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BOOST_CHECK(localCurrent[i * num_component + c]==globalSol[gi * num_component + c]);
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BOOST_CHECK(localSol[i * num_component + c] == localCurrent[i * num_component + c]);
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}
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}
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}
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BOOST_AUTO_TEST_CASE(GlobalPerfFactoryParallel1)
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{
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testGlobalPerfFactoryParallel(1);
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testGlobalPerfFactoryParallel(3);
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}
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BOOST_AUTO_TEST_CASE(EmptyWell) {
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auto comm = Opm::Parallel::Communication(Dune::MPIHelper::getCommunicator());
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Opm::ParallelWellInfo<double> pw({"WELL1", true}, comm);
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pw.communicateFirstPerforation(false);
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double local_p = 1;
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auto global_p = pw.broadcastFirstPerforationValue(local_p);
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BOOST_CHECK_EQUAL(local_p, global_p);
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}
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