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// --------------------------------------------------------------------------
// OpenMS -- Open-Source Mass Spectrometry
// --------------------------------------------------------------------------
// Copyright The OpenMS Team -- Eberhard Karls University Tuebingen,
// ETH Zurich, and Freie Universitaet Berlin 2002-2013.
//
// This software is released under a three-clause BSD license:
// * Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
// * Neither the name of any author or any participating institution
// may be used to endorse or promote products derived from this software
// without specific prior written permission.
// For a full list of authors, refer to the file AUTHORS.
// --------------------------------------------------------------------------
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
// ARE DISCLAIMED. IN NO EVENT SHALL ANY OF THE AUTHORS OR THE CONTRIBUTING
// INSTITUTIONS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
// OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
// WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
// OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
// ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// --------------------------------------------------------------------------
// $Maintainer: Clemens Groepl $
// $Authors: Hendrik Weisser $
// --------------------------------------------------------------------------
#include <OpenMS/CONCEPT/ClassTest.h>
///////////////////////////
#include <OpenMS/ANALYSIS/MAPMATCHING/TransformationDescription.h>
#include <vector>
///////////////////////////
START_TEST(TransformationDescription, "$Id: TransformationDescription_test.C 10915 2013-04-04 20:14:57Z aiche $")
/////////////////////////////////////////////////////////////
/////////////////////////////////////////////////////////////
using namespace OpenMS;
using namespace std;
TransformationDescription* ptr = 0;
TransformationDescription* nullPointer = 0;
START_SECTION((TransformationDescription()))
ptr = new TransformationDescription;
TEST_NOT_EQUAL(ptr, nullPointer)
END_SECTION
START_SECTION((~TransformationDescription()))
delete ptr;
END_SECTION
TransformationDescription::DataPoints data;
data.push_back(make_pair(0.0, 1.0));
data.push_back(make_pair(1.0, 3.0));
START_SECTION((TransformationDescription(const DataPoints& data)))
{
ptr = new TransformationDescription(data);
TEST_NOT_EQUAL(ptr, nullPointer)
TEST_EQUAL(ptr->getDataPoints() == data, true);
delete ptr;
}
END_SECTION
START_SECTION((const DataPoints& getDataPoints() const))
{
TransformationDescription td;
TEST_EQUAL(td.getDataPoints().empty(), true);
}
END_SECTION
START_SECTION((void setDataPoints(const DataPoints& data)))
{
TransformationDescription td;
td.fitModel("identity", Param());
TEST_EQUAL(td.getModelType(), "identity");
td.setDataPoints(data);
// setting data points clears the model:
TEST_EQUAL(td.getModelType(), "none");
TEST_EQUAL(td.getDataPoints().size(), 2)
TEST_EQUAL(td.getDataPoints() == data, true);
TransformationDescription::DataPoints empty;
empty.clear();
td.setDataPoints(empty);
TEST_EQUAL(td.getDataPoints().empty(), true)
}
END_SECTION
START_SECTION((DoubleReal apply(DoubleReal value) const))
{
TransformationDescription td;
TEST_EQUAL(td.apply(-0.5), -0.5);
TEST_EQUAL(td.apply(1000), 1000);
// tested further together with "fitModel"
}
END_SECTION
START_SECTION((const String& getModelType() const))
{
TransformationDescription td;
TEST_EQUAL(td.getModelType(), "none");
}
END_SECTION
START_SECTION((static void getModelTypes(StringList& result)))
{
StringList result;
TransformationDescription::getModelTypes(result);
TEST_EQUAL(result.size(), 3);
TEST_EQUAL(result[0], "linear");
TEST_EQUAL(result[1], "b_spline");
TEST_EQUAL(result[2], "interpolated");
}
END_SECTION
START_SECTION((void fitModel(const String& model_type, const Param& params=Param())))
{
TransformationDescription td(data);
Param params;
td.fitModel("linear", params);
TEST_EQUAL(td.getModelType(), "linear");
TEST_REAL_SIMILAR(td.apply(0.0), 1.0);
TEST_REAL_SIMILAR(td.apply(0.5), 2.0);
TEST_REAL_SIMILAR(td.apply(1.0), 3.0);
// special model type for reference files:
td.fitModel("identity", Param());
TEST_EQUAL(td.getModelType(), "identity");
TEST_REAL_SIMILAR(td.apply(0.0), 0.0);
TEST_REAL_SIMILAR(td.apply(0.5), 0.5);
TEST_REAL_SIMILAR(td.apply(1.0), 1.0);
// can't fit a different model to an "identity" transformation:
td.fitModel("linear", params);
TEST_EQUAL(td.getModelType(), "identity");
}
END_SECTION
START_SECTION((void getModelParameters(Param& params) const))
{
TransformationDescription td;
Param params;
td.getModelParameters(params);
TEST_EQUAL(params, Param());
params.setValue("slope", 2.5);
params.setValue("intercept", -100.0);
const Param const_params = params;
td.fitModel("linear", const_params);
td.getModelParameters(params);
TEST_EQUAL(params, const_params);
}
END_SECTION
START_SECTION((TransformationDescription(const TransformationDescription& rhs)))
{
TransformationDescription td(data);
td.fitModel("linear", Param());
TransformationDescription td2 = td;
TEST_EQUAL(td.getModelType(), td2.getModelType());
TEST_EQUAL(td.getDataPoints() == td2.getDataPoints(), true);
Param params, params2;
td.getModelParameters(params);
td2.getModelParameters(params2);
TEST_EQUAL(params, params2);
}
END_SECTION
START_SECTION((TransformationDescription& operator=(const TransformationDescription& rhs)))
{
TransformationDescription td(data);
td.fitModel("linear", Param());
TransformationDescription td2;
td2 = td;
TEST_EQUAL(td.getModelType(), td2.getModelType());
TEST_EQUAL(td.getDataPoints() == td2.getDataPoints(), true);
Param params, params2;
td.getModelParameters(params);
td2.getModelParameters(params2);
TEST_EQUAL(params, params2);
}
END_SECTION
START_SECTION((void invert()))
{
TransformationDescription td;
DoubleReal value = 57.12;
Param params;
// test null transformation:
td.fitModel("none", params);
td.invert();
TEST_EQUAL(td.getModelType(), "none");
// test linear transformation:
params.setValue("slope", 2.0);
params.setValue("intercept", 47.12);
td.fitModel("linear", params);
td.invert();
TEST_EQUAL(td.getModelType(), "linear");
td.getModelParameters(params);
TEST_REAL_SIMILAR(params.getValue("slope"), 0.5);
TEST_REAL_SIMILAR(params.getValue("intercept"), -23.56);
TEST_REAL_SIMILAR(td.apply(value), 5.0);
// test inversion of data points:
td.setDataPoints(data);
td.invert();
TEST_EQUAL(td.getDataPoints()[0].first, data[0].second);
TEST_EQUAL(td.getDataPoints()[0].second, data[0].first);
TEST_EQUAL(td.getDataPoints()[1].first, data[1].second);
TEST_EQUAL(td.getDataPoints()[1].second, data[1].first);
td.invert();
TEST_EQUAL(td.getDataPoints() == data, true);
// test interpolated-linear transformation:
params.clear();
params.setValue("interpolation_type", "linear");
td.fitModel("interpolated", params);
td.invert();
TEST_EQUAL(td.getModelType(), "interpolated");
// pairs have changed...
TEST_EQUAL(td.getDataPoints() != data, true);
td.invert();
// ... now they're back to the original:
TEST_EQUAL(td.getDataPoints() == data, true);
}
END_SECTION
/////////////////////////////////////////////////////////////
/////////////////////////////////////////////////////////////
END_TEST
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