Method process

Engine/lib/openal-soft/core/mastering.cpp:395–441

void Compressor::process(const uint SamplesToDo, FloatBufferLine *OutBuffer)
{
    const size_t numChans{mNumChans};

    ASSUME(SamplesToDo > 0);
    ASSUME(numChans > 0);

    const float preGain{mPreGain};
    if(preGain != 1.0f)
    {
        auto apply_gain = [SamplesToDo,preGain](FloatBufferLine &input) noexcept -> void
        {
            float *buffer{al::assume_aligned<16>(input.data())};
            std::transform(buffer, buffer+SamplesToDo, buffer,
                std::bind(std::multiplies<float>{}, _1, preGain));
        };
        std::for_each(OutBuffer, OutBuffer+numChans, apply_gain);
    }

    LinkChannels(this, SamplesToDo, OutBuffer);

    if(mAuto.Attack || mAuto.Release)
        CrestDetector(this, SamplesToDo);

    if(mHold)
        PeakHoldDetector(this, SamplesToDo);
    else
        PeakDetector(this, SamplesToDo);

    GainCompressor(this, SamplesToDo);

    if(mDelay)
        SignalDelay(this, SamplesToDo, OutBuffer);

    const float (&sideChain)[BufferLineSize*2] = mSideChain;
    auto apply_comp = [SamplesToDo,&sideChain](FloatBufferLine &input) noexcept -> void
    {
        float *buffer{al::assume_aligned<16>(input.data())};
        const float *gains{al::assume_aligned<16>(&sideChain[0])};
        std::transform(gains, gains+SamplesToDo, buffer, buffer,
            std::bind(std::multiplies<float>{}, _1, _2));
    };
    std::for_each(OutBuffer, OutBuffer+numChans, apply_comp);

    auto side_begin = std::begin(mSideChain) + SamplesToDo;
    std::copy(side_begin, side_begin+mLookAhead, std::begin(mSideChain));
}