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| ** |
| ** Copyright (C) 2015 Klaralvdalens Datakonsult AB (KDAB). |
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| |
| #include <QtTest/QTest> |
| #include <private/functionrangefinder_p.h> |
| |
| using namespace Qt3DAnimation::Animation; |
| |
| class tst_FunctionRangeFinder : public QObject |
| { |
| Q_OBJECT |
| |
| private Q_SLOTS: |
| void checkDefaultConstruction() |
| { |
| // GIVEN |
| QVector<float> data; |
| |
| // WHEN |
| FunctionRangeFinder finder(data); |
| |
| // THEN |
| QCOMPARE(finder.rangeSize(), 2); |
| QCOMPARE(finder.isAscending(), true); |
| QCOMPARE(finder.correlationThreshold(), 1); |
| } |
| |
| void checkConstructionWithData_data() |
| { |
| QTest::addColumn<QVector<float>>("x"); |
| QTest::addColumn<int>("correlationThreshold"); |
| QTest::addColumn<bool>("ascending"); |
| |
| QVector<float> data = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f }; |
| int correlationThreshold = 1; |
| bool ascending = true; |
| QTest::newRow("10 entries, ascending") << data << correlationThreshold << ascending; |
| data.clear(); |
| |
| data.resize(10000); |
| for (int i = 0; i < 10000; ++i) |
| data[i] = float(i); |
| ascending = true; |
| correlationThreshold = std::pow(float(10000), 0.25f); |
| QTest::newRow("10k entries, ascending") << data << correlationThreshold << ascending; |
| data.clear(); |
| |
| data.resize(10000); |
| for (int i = 0; i < 10000; ++i) |
| data[10000 - i - 1] = float(i); |
| ascending = false; |
| correlationThreshold = std::pow(float(10000), 0.25f); |
| QTest::newRow("10k entries, descending") << data << correlationThreshold << ascending; |
| data.clear(); |
| } |
| |
| void checkConstructionWithData() |
| { |
| // GIVEN |
| QFETCH(QVector<float>, x); |
| QFETCH(int, correlationThreshold); |
| QFETCH(bool, ascending); |
| |
| // WHEN |
| FunctionRangeFinder finder(x); |
| |
| // THEN |
| QCOMPARE(finder.rangeSize(), 2); |
| QCOMPARE(finder.isAscending(), ascending); |
| QCOMPARE(finder.correlationThreshold(), correlationThreshold); |
| } |
| |
| void checkFindLowerBound_data() |
| { |
| QTest::addColumn<QVector<float>>("x"); |
| QTest::addColumn<QVector<float>>("needles"); |
| QTest::addColumn<QVector<int>>("lowerBounds"); |
| |
| QVector<float> data = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f }; |
| QVector<float> needles = { 2.5f }; |
| QVector<int> lowerBounds = { 1 }; |
| QTest::newRow("10 entries, ascending") << data << needles << lowerBounds; |
| data.clear(); |
| needles.clear(); |
| lowerBounds.clear(); |
| |
| data.resize(10000); |
| for (int i = 0; i < 10000; ++i) |
| data[i] = float(i); |
| |
| needles.push_back(23.75f); |
| lowerBounds.push_back(23); |
| |
| needles.push_back(500.03f); |
| lowerBounds.push_back(500); |
| |
| needles.push_back(500.2f); |
| lowerBounds.push_back(500); |
| |
| needles.push_back(501.4f); // Will trigger hunt codepath as previous test is correlated |
| lowerBounds.push_back(501); |
| |
| needles.push_back(3405.123f); |
| lowerBounds.push_back(3405); |
| |
| QTest::newRow("10k entries, ascending") << data << needles << lowerBounds; |
| data.clear(); |
| needles.clear(); |
| lowerBounds.clear(); |
| |
| data.resize(10); |
| for (int i = 0; i < 10; ++i) |
| data[10 - i - 1] = float(i); |
| |
| needles.push_back(8.1f); |
| lowerBounds.push_back(0); |
| |
| needles.push_back(7.2f); |
| lowerBounds.push_back(1); |
| |
| needles.push_back(0.5f); |
| lowerBounds.push_back(8); |
| |
| QTest::newRow("10 entries, descending") << data << needles << lowerBounds; |
| data.clear(); |
| } |
| |
| void checkFindLowerBound() |
| { |
| // GIVEN |
| QFETCH(QVector<float>, x); |
| QFETCH(QVector<float>, needles); |
| QFETCH(QVector<int>, lowerBounds); |
| FunctionRangeFinder finder(x); |
| |
| for (int i = 0; i < needles.size(); ++i) { |
| // WHEN |
| int result = finder.findLowerBound(needles[i]); |
| |
| // THEN |
| QCOMPARE(result, lowerBounds[i]); |
| } |
| } |
| }; |
| |
| QTEST_APPLESS_MAIN(tst_FunctionRangeFinder) |
| |
| #include "tst_functionrangefinder.moc" |