TobyFitResolutionModelTest.h

#ifndef MANTID_MDALGORITHMS_TOBYFITRESOLUTIONMODELTEST_H_
#define MANTID_MDALGORITHMS_TOBYFITRESOLUTIONMODELTEST_H_

#include "MantidMDAlgorithms/Quantification/Resolution/TobyFitResolutionModel.h"
#include "MantidMDAlgorithms/Quantification/ForegroundModel.h"
#include "MantidMDAlgorithms/Quantification/ResolutionConvolvedCrossSection.h"

#include "MDFittingTestHelpers.h"
#include <cxxtest/TestSuite.h>

class TobyFitResolutionModelTest : public CxxTest::TestSuite
{
  public:

  // This pair of boilerplate methods prevent the suite being created statically
  // This means the constructor isn't called when running other tests
  static TobyFitResolutionModelTest *createSuite() { return new TobyFitResolutionModelTest(); }
  static void destroySuite( TobyFitResolutionModelTest *suite ) { delete suite; }

  TobyFitResolutionModelTest()
  {
    using namespace Mantid::MDAlgorithms;
    ForegroundModelFactory::Instance().subscribe<FakeForegroundModel>("FakeForegroundModel");
  }

  ~TobyFitResolutionModelTest()
  {
    using namespace Mantid::MDAlgorithms;
    ForegroundModelFactory::Instance().unsubscribe("FakeForegroundModel");
  }


    void test_Construction_With_Unknown_Model_Throws_Invalid_Argument()
    {
      using namespace Mantid::MDAlgorithms;
      ResolutionConvolvedCrossSection * conv = new ResolutionConvolvedCrossSection;

      TS_ASSERT_THROWS(TobyFitResolutionModel(*conv, "_NotAKnownModel"), std::invalid_argument);

      delete conv;
    }

    void test_Construction_With_Valid_Arguments_Creates_Object()
    {
      using namespace Mantid::MDAlgorithms;
      ResolutionConvolvedCrossSection * conv = new ResolutionConvolvedCrossSection;

      TS_ASSERT_THROWS_NOTHING(TobyFitResolutionModel(*conv, "FakeForegroundModel"));

      delete conv;
    }

    void test_uninitialized_object_has_no_attributes()
    {
      using namespace Mantid::MDAlgorithms;
      TobyFitResolutionModel mdconvolution;

      TS_ASSERT_EQUALS(mdconvolution.nAttributes(), 0);

    }

    void test_initialized_object_has_expected_number_of_attributes()
    {
      using namespace Mantid::MDAlgorithms;
      TobyFitResolutionModel mdconvolution;
      mdconvolution.initialize();

      TS_ASSERT_EQUALS(mdconvolution.nAttributes(), 14);
    }

    void test_crossSection_Returns_Expected_Value_For_Specific_Parameters()
    {
      using namespace Mantid::MDAlgorithms;
      ResolutionConvolvedCrossSection * conv = new ResolutionConvolvedCrossSection;
      TobyFitResolutionModel mcResConvoution(*conv, "FakeForegroundModel");

      delete conv;
    }
};

#endif /* MANTID_MDALGORITHMS_TOBYFITRESOLUTIONMODELTEST_H_ */