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296 lines
10 KiB
C++
296 lines
10 KiB
C++
/*
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==============================================================================
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This file is part of the JUCE library.
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Copyright (c) 2018 - ROLI Ltd.
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JUCE is an open source library subject to commercial or open-source
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licensing.
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The code included in this file is provided under the terms of the ISC license
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http://www.isc.org/downloads/software-support-policy/isc-license. Permission
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To use, copy, modify, and/or distribute this software for any purpose with or
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without fee is hereby granted provided that the above copyright notice and
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this permission notice appear in all copies.
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JUCE IS PROVIDED "AS IS" WITHOUT ANY WARRANTY, AND ALL WARRANTIES, WHETHER
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EXPRESSED OR IMPLIED, INCLUDING MERCHANTABILITY AND FITNESS FOR PURPOSE, ARE
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DISCLAIMED.
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==============================================================================
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*/
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namespace juce
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{
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#if JUCE_UNIT_TESTS
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template <class SmoothedValueType>
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class CommonSmoothedValueTests : public UnitTest
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{
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public:
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CommonSmoothedValueTests()
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: UnitTest ("CommonSmoothedValueTests", "SmoothedValues")
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{}
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void runTest() override
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{
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beginTest ("Initial state");
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{
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SmoothedValueType sv;
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auto value = sv.getCurrentValue();
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expectEquals (sv.getTargetValue(), value);
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sv.getNextValue();
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expectEquals (sv.getCurrentValue(), value);
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expect (! sv.isSmoothing());
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}
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beginTest ("Resetting");
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{
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auto initialValue = 15.0f;
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SmoothedValueType sv (initialValue);
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sv.reset (3);
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expectEquals (sv.getCurrentValue(), initialValue);
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auto targetValue = initialValue + 1.0f;
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sv.setTargetValue (targetValue);
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expectEquals (sv.getTargetValue(), targetValue);
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expectEquals (sv.getCurrentValue(), initialValue);
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expect (sv.isSmoothing());
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auto currentValue = sv.getNextValue();
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expect (currentValue > initialValue);
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expectEquals (sv.getCurrentValue(), currentValue);
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expectEquals (sv.getTargetValue(), targetValue);
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expect (sv.isSmoothing());
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sv.reset (5);
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expectEquals (sv.getCurrentValue(), targetValue);
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expectEquals (sv.getTargetValue(), targetValue);
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expect (! sv.isSmoothing());
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sv.getNextValue();
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expectEquals (sv.getCurrentValue(), targetValue);
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sv.setTargetValue (1.5f);
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sv.getNextValue();
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float newStart = 0.2f;
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sv.setCurrentAndTargetValue (newStart);
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expectEquals (sv.getNextValue(), newStart);
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expectEquals (sv.getTargetValue(), newStart);
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expectEquals (sv.getCurrentValue(), newStart);
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expect (! sv.isSmoothing());
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}
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beginTest ("Sample rate");
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{
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SmoothedValueType svSamples { 3.0f };
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auto svTime = svSamples;
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auto numSamples = 12;
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svSamples.reset (numSamples);
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svTime.reset (numSamples * 2, 1.0);
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for (int i = 0; i < numSamples; ++i)
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{
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svTime.skip (1);
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expectWithinAbsoluteError (svSamples.getNextValue(),
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svTime.getNextValue(),
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1.0e-7f);
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}
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}
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beginTest ("Block processing");
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{
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SmoothedValueType sv (1.0f);
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sv.reset (12);
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sv.setTargetValue (2.0f);
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const auto numSamples = 15;
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AudioBuffer<float> referenceData (1, numSamples);
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for (int i = 0; i < numSamples; ++i)
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referenceData.setSample (0, i, sv.getNextValue());
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expect (referenceData.getSample (0, 0) > 0);
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expect (referenceData.getSample (0, 10) < sv.getTargetValue());
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expectWithinAbsoluteError (referenceData.getSample (0, 11),
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sv.getTargetValue(),
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1.0e-7f);
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auto getUnitData = [] (int numSamplesToGenerate)
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{
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AudioBuffer<float> result (1, numSamplesToGenerate);
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for (int i = 0; i < numSamplesToGenerate; ++i)
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result.setSample (0, i, 1.0f);
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return result;
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};
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auto compareData = [this](const AudioBuffer<float>& test,
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const AudioBuffer<float>& reference)
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{
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for (int i = 0; i < test.getNumSamples(); ++i)
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expectWithinAbsoluteError (test.getSample (0, i),
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reference.getSample (0, i),
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1.0e-7f);
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};
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auto testData = getUnitData (numSamples);
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sv.setCurrentAndTargetValue (1.0f);
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sv.setTargetValue (2.0f);
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sv.applyGain (testData.getWritePointer (0), numSamples);
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compareData (testData, referenceData);
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testData = getUnitData (numSamples);
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AudioBuffer<float> destData (1, numSamples);
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sv.setCurrentAndTargetValue (1.0f);
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sv.setTargetValue (2.0f);
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sv.applyGain (destData.getWritePointer (0),
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testData.getReadPointer (0),
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numSamples);
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compareData (destData, referenceData);
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compareData (testData, getUnitData (numSamples));
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testData = getUnitData (numSamples);
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sv.setCurrentAndTargetValue (1.0f);
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sv.setTargetValue (2.0f);
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sv.applyGain (testData, numSamples);
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compareData (testData, referenceData);
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}
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beginTest ("Skip");
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{
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SmoothedValueType sv;
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sv.reset (12);
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sv.setCurrentAndTargetValue (1.0f);
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sv.setTargetValue (2.0f);
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Array<float> reference;
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for (int i = 0; i < 15; ++i)
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reference.add (sv.getNextValue());
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sv.setCurrentAndTargetValue (1.0f);
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sv.setTargetValue (2.0f);
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expectWithinAbsoluteError (sv.skip (1), reference[0], 1.0e-6f);
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expectWithinAbsoluteError (sv.skip (1), reference[1], 1.0e-6f);
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expectWithinAbsoluteError (sv.skip (2), reference[3], 1.0e-6f);
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sv.skip (3);
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expectWithinAbsoluteError (sv.getCurrentValue(), reference[6], 1.0e-6f);
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expectEquals (sv.skip (300), sv.getTargetValue());
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expectEquals (sv.getCurrentValue(), sv.getTargetValue());
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}
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beginTest ("Negative");
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{
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SmoothedValueType sv;
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auto start = -1.0f, end = -2.0f;
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auto numValues = 12;
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sv.reset (numValues);
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sv.setCurrentAndTargetValue (start);
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sv.setTargetValue (end);
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auto val = sv.skip (3);
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expect (val < start && val > end);
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auto nextVal = sv.getNextValue();
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expect (nextVal < val);
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auto endVal = sv.skip (500);
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expectEquals (endVal, end);
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expectEquals (sv.getNextValue(), end);
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expectEquals (sv.getCurrentValue(), end);
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sv.setCurrentAndTargetValue (start);
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sv.reset (numValues);
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sv.setTargetValue (end);
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SmoothedValueType positiveSv { -start };
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positiveSv.reset (numValues);
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positiveSv.setTargetValue (-end);
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for (int i = 0; i < numValues + 2; ++i)
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expectEquals (sv.getNextValue(), -positiveSv.getNextValue());
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}
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}
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};
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static CommonSmoothedValueTests <SmoothedValue<float, ValueSmoothingTypes::Linear>> commonLinearSmoothedValueTests;
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static CommonSmoothedValueTests <SmoothedValue<float, ValueSmoothingTypes::Multiplicative>> commonMultiplicativeSmoothedValueTests;
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class SmoothedValueTests : public UnitTest
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{
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public:
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SmoothedValueTests()
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: UnitTest ("SmoothedValueTests", "SmoothedValues")
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{}
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void runTest() override
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{
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beginTest ("Linear moving target");
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{
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SmoothedValue<float, ValueSmoothingTypes::Linear> sv;
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sv.reset (12);
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float initialValue = 0.0f;
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sv.setCurrentAndTargetValue (initialValue);
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sv.setTargetValue (1.0f);
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auto delta = sv.getNextValue() - initialValue;
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sv.skip (6);
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auto newInitialValue = sv.getCurrentValue();
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sv.setTargetValue (newInitialValue + 2.0f);
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auto doubleDelta = sv.getNextValue() - newInitialValue;
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expectWithinAbsoluteError (doubleDelta, delta * 2.0f, 1.0e-7f);
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}
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beginTest ("Multiplicative curve");
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{
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SmoothedValue<double, ValueSmoothingTypes::Multiplicative> sv;
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auto numSamples = 12;
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AudioBuffer<double> values (2, numSamples + 1);
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sv.reset (numSamples);
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sv.setCurrentAndTargetValue (1.0);
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sv.setTargetValue (2.0f);
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values.setSample (0, 0, sv.getCurrentValue());
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for (int i = 1; i < values.getNumSamples(); ++i)
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values.setSample (0, i, sv.getNextValue());
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sv.setTargetValue (1.0f);
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values.setSample (1, values.getNumSamples() - 1, sv.getCurrentValue());
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for (int i = values.getNumSamples() - 2; i >= 0 ; --i)
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values.setSample (1, i, sv.getNextValue());
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for (int i = 0; i < values.getNumSamples(); ++i)
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expectWithinAbsoluteError (values.getSample (0, i), values.getSample (1, i), 1.0e-9);
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}
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}
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};
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static SmoothedValueTests smoothedValueTests;
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#endif
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} // namespace juce
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