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#include "../msproviders/averagingmsrowprovider.h"
#include "../msproviders/directmsrowprovider.h"
#include <aocommon/logger.h>
#include <boost/test/unit_test.hpp>
#include <boost/filesystem/operations.hpp>
namespace wsclean {
const std::string kFilename(
"/home/anoko/Data/3C196-TestSet/L258627_SAP000_SB120_uv.MS.1ch12s.dppp");
boost::unit_test::assertion_result dataIsAvailable(
boost::unit_test::test_unit_id) {
return boost::unit_test::assertion_result(
boost::filesystem::exists(kFilename));
}
BOOST_AUTO_TEST_SUITE(baseline_dependent_averaging)
BOOST_AUTO_TEST_CASE(noAveraging,
*boost::unit_test::precondition(dataIsAvailable)) {
aocommon::Logger::SetVerbosity(aocommon::LogVerbosityLevel::kQuiet);
const size_t nAnt = 70;
MSSelection selection;
std::map<size_t, size_t> dataDescIds;
dataDescIds.insert(std::make_pair(0, 0));
AveragingMSRowProvider avgProvider(1e-8, kFilename, selection, dataDescIds, 0,
"DATA", "MODEL_DATA", false);
DirectMSRowProvider directProvider(kFilename, selection, dataDescIds, "DATA",
"MODEL_DATA", false);
size_t nRow = 0, nFinite = 0;
casacore::IPosition shape(2, 4, 1);
MSRowProvider::DataArray dataArrayAvg(shape), dataArrayDirect(shape);
MSRowProvider::FlagArray flagArrayAvg(shape), flagArrayDirect(shape);
MSRowProvider::WeightArray weightsAvg(shape), weightsDirect(shape);
while (!avgProvider.AtEnd() && !directProvider.AtEnd() &&
nRow < nAnt * (nAnt - 1) / 2 * 10) {
double uA, vA, wA, timeA, uD, vD, wD, timeD;
uint32_t a1A = 1337, a2A = 1338, a1D = 1339, a2D = 1340, field;
uint32_t descA = 1341, descD = 1342;
avgProvider.ReadData(dataArrayAvg, flagArrayAvg, weightsAvg, uA, vA, wA,
descA, a1A, a2A, field, timeA);
directProvider.ReadData(dataArrayDirect, flagArrayDirect, weightsDirect, uD,
vD, wD, descD, a1D, a2D, field, timeD);
for (size_t p = 0; p != 4; ++p) {
std::complex<float> valA = dataArrayAvg.data()[p];
std::complex<float> valD = dataArrayDirect.data()[p];
bool isAFinite = std::isfinite(valA.real()) && std::isfinite(valA.imag());
bool isDFinite = std::isfinite(valD.real()) && std::isfinite(valD.imag());
BOOST_REQUIRE_EQUAL(isAFinite, isDFinite);
if (isAFinite) {
BOOST_REQUIRE_CLOSE_FRACTION(valA, valD, 1e-8);
++nFinite;
}
BOOST_REQUIRE_EQUAL(flagArrayAvg.data()[p], flagArrayDirect.data()[p]);
BOOST_REQUIRE_CLOSE_FRACTION(weightsAvg.data()[p],
weightsDirect.data()[p], 1e-8);
}
BOOST_REQUIRE_CLOSE_FRACTION(uA, uD, 1e-8);
BOOST_REQUIRE_CLOSE_FRACTION(vA, vD, 1e-8);
BOOST_REQUIRE_CLOSE_FRACTION(wA, wD, 1e-8);
BOOST_REQUIRE_CLOSE_FRACTION(timeA, timeD, 1e-8);
BOOST_REQUIRE_EQUAL(descA, descD);
BOOST_REQUIRE_EQUAL(a1A, a1D);
BOOST_REQUIRE_EQUAL(a2A, a2D);
avgProvider.NextRow();
directProvider.NextRow();
++nRow;
}
BOOST_CHECK_GT(nRow, 0u);
BOOST_CHECK_GT(nFinite, 0u);
BOOST_CHECK_EQUAL(avgProvider.AtEnd(), directProvider.AtEnd());
aocommon::Logger::SetVerbosity(aocommon::LogVerbosityLevel::kNormal);
}
// This test is to prevent the issue reported in
// https://gitlab.com/aroffringa/wsclean/-/issues/32 The BD averager would
// sometimes output zero as output time, causing the primary beam to think the
// observation spanned from MJD 0 to MJD now, and making millions of beams.
BOOST_AUTO_TEST_CASE(nonZeroTime,
*boost::unit_test::precondition(dataIsAvailable)) {
aocommon::Logger::SetVerbosity(aocommon::LogVerbosityLevel::kQuiet);
double time = 10.0;
const double startTime = 4929192878.0;
MSSelection selection;
std::map<size_t, size_t> dataDescIds;
dataDescIds.insert(std::make_pair(0, 0));
AveragingMSRowProvider avgProvider(1, kFilename, selection, dataDescIds, 0,
"DATA", "MODEL_DATA", false);
size_t nRow = 0;
casacore::IPosition shape(2, 4, 1);
MSRowProvider::DataArray dataArray(shape);
MSRowProvider::FlagArray flagArray(shape);
MSRowProvider::WeightArray weights(shape);
while (!avgProvider.AtEnd() && nRow < 20000) {
double u, v, w;
uint32_t ant1 = 1337, ant2 = 1338, field;
uint32_t desc = 1341;
avgProvider.ReadData(dataArray, flagArray, weights, u, v, w, desc, ant1,
ant2, field, time);
BOOST_REQUIRE_GE(time, startTime);
avgProvider.NextRow();
++nRow;
}
BOOST_CHECK_GT(nRow, 0u);
aocommon::Logger::SetVerbosity(aocommon::LogVerbosityLevel::kNormal);
}
/*
BOOST_AUTO_TEST_CASE( extremeAveraging )
{
std::string
filename("/home/anoko/Data/3C196-TestSet/L258627_SAP000_SB120_uv.MS.1ch12s.dppp");
size_t nAnt=70;
if(boost::filesystem::exists(filename))
{
MSSelection selection;
std::map<size_t, size_t> dataDescIds;
dataDescIds.insert(std::make_pair(0, 0));
AveragingMSRowProvider avgProvider(1e8, filename, selection,
dataDescIds, "DATA", false); size_t nRow = 0; casacore::IPosition shape(2, 4,
1); MSRowProvider::DataArray dataArrayAvg(shape), dataArrayDirect(shape);
MSRowProvider::FlagArray flagArrayAvg(shape),
flagArrayDirect(shape); MSRowProvider::WeightArray weightsAvg(shape),
weightsDirect(shape); std::set<std::pair<size_t,size_t>> baselines;
while(!avgProvider.AtEnd())
{
double u, v, w;
uint32_t a1=1337, a2=1338;
uint32_t desc=1341;
avgProvider.ReadData(dataArrayAvg, flagArrayAvg,
weightsAvg, u, v, w, desc, a1, a2); std::pair<size_t, size_t> b(a1, a2);
BOOST_CHECK(baselines.find(b) == baselines.end());
baselines.insert(b);
avgProvider.NextRow();
++nRow;
}
BOOST_CHECK_EQUAL(nRow, nAnt*(nAnt-1)/2);
BOOST_CHECK(avgProvider.AtEnd());
}
else {
BOOST_TEST_WARN(false, "Test set not found -- skipping test
averagingRowProvider");
}
}*/
BOOST_AUTO_TEST_SUITE_END()
} // namespace wsclean
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