kopia lustrzana https://github.com/vsamy/DiFipp
168 wiersze
5.6 KiB
C++
168 wiersze
5.6 KiB
C++
// Copyright (c) 2019, Vincent SAMY
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// All rights reserved.
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// Redistribution and use in source and binary forms, with or without
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// modification, are permitted provided that the following conditions are met:
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// 1. Redistributions of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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// 2. Redistributions in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
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// ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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// WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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// DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
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// ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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// (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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// LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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// ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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// The views and conclusions contained in the software and documentation are those
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// of the authors and should not be interpreted as representing official policies,
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// either expressed or implied, of the FreeBSD Project.
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#pragma once
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#include "catch_helper.h"
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#include "differentiators.h"
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#include "difi"
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#include <array>
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#include <catch2/catch.hpp>
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using namespace difi;
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template <typename T, typename Tuple, typename Derived>
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class DiffTester {
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friend Derived;
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static constexpr const size_t TSize = std::tuple_size_v<Tuple>;
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public:
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DiffTester(const Tuple& filters, const vectX_t<T>& f, const vectX_t<T>& df)
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: m_filters(filters)
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, m_f(f)
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, m_df(df)
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{}
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void run(const std::array<T, TSize>& eps) { testRunner<TSize - 1>(eps); }
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private:
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template <typename Filter>
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void test(Filter& filt, T eps)
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{
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static_cast<Derived&>(*this).testFilter(filt, eps);
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}
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template <size_t Index>
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void testRunner(const std::array<T, TSize>& eps)
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{
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test(std::get<Index>(m_filters), eps[Index]);
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testRunner<Index - 1>(eps);
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}
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template <>
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void testRunner<0>(const std::array<T, TSize>& eps) { test(std::get<0>(m_filters), eps[0]); }
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private:
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vectX_t<T> m_f;
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vectX_t<T> m_df;
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Tuple m_filters;
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};
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template <typename T, typename Tuple>
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class TFDiffTester : public DiffTester<T, Tuple, TFDiffTester<T, Tuple>> {
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friend DiffTester<T, Tuple, TFDiffTester<T, Tuple>>;
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public:
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TFDiffTester(const Tuple& filters, const vectX_t<T>& f, const vectX_t<T>& df)
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: DiffTester(filters, f, df)
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{}
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void setFilterTimestep(T step) { setStep<TSize - 1>(step); }
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private:
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template <typename Filter>
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void testFilter(Filter& filt, T eps)
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{
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for (int i = 0; i < 50; ++i) {
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auto value = filt.stepFilter(m_f(i)); // First initialize, some steps
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value = 2.;
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}
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for (int i = 50; i < STEPS; ++i) {
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auto value = filt.stepFilter(m_f(i));
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REQUIRE_SMALL(std::abs(value - m_df(i - filt.center())), eps);
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}
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}
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template <size_t Index>
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void setStep(T step)
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{
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std::get<Index>(m_filters).setTimestep(step);
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setStep<Index - 1>(step);
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}
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template <>
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void setStep<0>(T step) { std::get<0>(m_filters).setTimestep(step); }
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};
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template <typename T, typename Tuple>
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class TVDiffTester : public DiffTester<T, Tuple, TVDiffTester<T, Tuple>> {
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friend DiffTester<T, Tuple, TVDiffTester<T, Tuple>>;
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public:
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TVDiffTester(const Tuple& filters, const vectX_t<T>& t, const vectX_t<T>& f, const vectX_t<T>& df)
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: DiffTester(filters, f, df)
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, m_time(t)
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{}
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private:
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template <typename Filter>
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void testFilter(Filter& filt, T eps)
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{
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for (int i = 0; i < 50; ++i) {
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auto value = filt.stepFilter(m_time(i), m_f(i)); // First initialize, some steps
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value = 2.;
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}
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for (int i = 50; i < STEPS; ++i) {
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auto value = filt.stepFilter(m_time(i), m_f(i));
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REQUIRE_SMALL(std::abs(value - m_df(i - filt.center())), eps);
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}
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}
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private:
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vectX_t<T> m_time;
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};
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template <typename T, size_t N>
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using central_list = std::tuple<CentralDiff<T, N>, LowNoiseLanczosDiff<T, N>, SuperLowNoiseLanczosDiff<T, N>, CenteredNoiseRobust2Diff<T, N>, CenteredNoiseRobust4Diff<T, N>>;
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template <typename T, size_t N>
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TFDiffTester<T, central_list<T, N>> generateCTester(const vectX_t<T>& f, const vectX_t<T>& df)
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{
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return { central_list<T, N>{}, f, df };
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}
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template <typename T, size_t N>
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TFDiffTester<T, std::tuple<CenteredSecondOrderDiff<T, N>>> generateC2OTester(const vectX_t<T>& f, const vectX_t<T>& df)
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{
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return { std::tuple<CenteredSecondOrderDiff<T, N>>{}, f, df };
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}
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template <typename T, size_t N>
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using tv_central_list = std::tuple<TVCenteredNoiseRobust2Diff<T, N>, TVCenteredNoiseRobust4Diff<T, N>>;
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template <typename T, size_t N>
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TVDiffTester<T, tv_central_list<T, N>> generateTVCTester(const vectX_t<T>& t, const vectX_t<T>& f, const vectX_t<T>& df)
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{
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return { tv_central_list<T, N>{}, t, f, df };
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}
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template <typename T, size_t N>
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TVDiffTester<T, std::tuple<TVCenteredSecondOrderDiff<T, N>>> generateTVC2OTester(const vectX_t<T>& t, const vectX_t<T>& f, const vectX_t<T>& df)
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{
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return { std::tuple<TVCenteredSecondOrderDiff<T, N>>{}, t, f, df };
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} |