EIC Software
Reference for
EIC
simulation and reconstruction software on GitHub
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#include <boost/test/data/test_case.hpp>
#include <boost/test/tools/output_test_stream.hpp>
#include <boost/test/unit_test.hpp>
#include "Acts/Geometry/GeometryContext.hpp"
#include "Acts/MagneticField/ConstantBField.hpp"
#include "Acts/MagneticField/MagneticFieldContext.hpp"
#include "Acts/Propagator/AbortList.hpp"
#include "Acts/Propagator/EigenStepper.hpp"
#include "Acts/Propagator/Propagator.hpp"
#include "Acts/Propagator/StandardAborters.hpp"
#include "Acts/Propagator/detail/LoopProtection.hpp"
#include "Acts/Tests/CommonHelpers/FloatComparisons.hpp"
#include "Acts/Utilities/Definitions.hpp"
#include "Acts/Utilities/Units.hpp"
Go to the source code of this file.
Classes | |
struct | Acts::Test::SteppingState |
mockup of stepping state More... | |
struct | Acts::Test::Stepper |
This is a struct to mimic the stepper. More... | |
struct | Acts::Test::NavigationState |
mockup of navigation state More... | |
struct | Acts::Test::Options |
mockup of the Propagator Options More... | |
struct | Acts::Test::PropagatorState |
mockup of propagtor state More... | |
Namespaces | |
namespace | Acts |
Set the Geometry Context PLUGIN. | |
namespace | Acts::Test |
Namespace for ATS unit tests. | |
Typedefs | |
using | Acts::Test::EigenStepper = EigenStepper< BField > |
using | Acts::Test::EigenPropagator = Propagator< EigenStepper > |
Functions | |
Acts::Test::BOOST_DATA_TEST_CASE (loop_aborter_test, bdata::random((bdata::seed=21, bdata::distribution=std::uniform_real_distribution<>(-M_PI, M_PI)))^bdata::random((bdata::seed=22, bdata::distribution=std::uniform_real_distribution<>(-M_PI, M_PI)))^bdata::xrange(1), phi, deltaPhi, index) | |
Acts::Test::BOOST_DATA_TEST_CASE (propagator_loop_protection_test, bdata::random((bdata::seed=20, bdata::distribution=std::uniform_real_distribution<>(0.5_GeV, 10_GeV)))^bdata::random((bdata::seed=21, bdata::distribution=std::uniform_real_distribution<>(-M_PI, M_PI)))^bdata::random((bdata::seed=22, bdata::distribution=std::uniform_real_distribution<>(1.0, M_PI-1.0)))^bdata::random((bdata::seed=23, bdata::distribution=std::uniform_int_distribution<>(0, 1)))^bdata::xrange(ntests), pT, phi, theta, charge, index) | |