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https://github.com/love2d/megasource.git
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Update OpenAL-soft to 1.23.1-bc7cb17.
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@@ -22,24 +22,24 @@
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#include <algorithm>
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#include <array>
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#include <cmath>
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#include <cstdlib>
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#include <iterator>
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#include <utility>
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#include <variant>
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#include "alc/effects/base.h"
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#include "almalloc.h"
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#include "alnumbers.h"
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#include "alnumeric.h"
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#include "alspan.h"
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#include "core/ambidefs.h"
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#include "core/bufferline.h"
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#include "core/context.h"
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#include "core/devformat.h"
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#include "core/device.h"
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#include "core/effects/base.h"
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#include "core/effectslot.h"
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#include "core/mixer.h"
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#include "intrusive_ptr.h"
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struct BufferStorage;
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namespace {
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@@ -50,45 +50,47 @@ constexpr float QFactor{5.0f};
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struct AutowahState final : public EffectState {
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/* Effect parameters */
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float mAttackRate;
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float mReleaseRate;
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float mResonanceGain;
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float mPeakGain;
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float mFreqMinNorm;
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float mBandwidthNorm;
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float mEnvDelay;
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float mAttackRate{};
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float mReleaseRate{};
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float mResonanceGain{};
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float mPeakGain{};
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float mFreqMinNorm{};
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float mBandwidthNorm{};
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float mEnvDelay{};
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/* Filter components derived from the envelope. */
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struct {
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float cos_w0;
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float alpha;
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} mEnv[BufferLineSize];
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struct FilterParam {
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float cos_w0{};
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float alpha{};
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};
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std::array<FilterParam,BufferLineSize> mEnv;
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struct {
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/* Effect filters' history. */
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struct {
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float z1, z2;
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} Filter;
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struct ChannelData {
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uint mTargetChannel{InvalidChannelIndex};
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struct FilterHistory {
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float z1{}, z2{};
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};
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FilterHistory mFilter;
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/* Effect gains for each output channel */
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float CurrentGains[MAX_OUTPUT_CHANNELS];
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float TargetGains[MAX_OUTPUT_CHANNELS];
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} mChans[MaxAmbiChannels];
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float mCurrentGain{};
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float mTargetGain{};
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};
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std::array<ChannelData,MaxAmbiChannels> mChans;
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/* Effects buffers */
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alignas(16) float mBufferOut[BufferLineSize];
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alignas(16) FloatBufferLine mBufferOut{};
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void deviceUpdate(const DeviceBase *device, const Buffer &buffer) override;
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void deviceUpdate(const DeviceBase *device, const BufferStorage *buffer) override;
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void update(const ContextBase *context, const EffectSlot *slot, const EffectProps *props,
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const EffectTarget target) override;
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void process(const size_t samplesToDo, const al::span<const FloatBufferLine> samplesIn,
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const al::span<FloatBufferLine> samplesOut) override;
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DEF_NEWDEL(AutowahState)
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};
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void AutowahState::deviceUpdate(const DeviceBase*, const Buffer&)
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void AutowahState::deviceUpdate(const DeviceBase*, const BufferStorage*)
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{
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/* (Re-)initializing parameters and clear the buffers. */
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@@ -108,32 +110,37 @@ void AutowahState::deviceUpdate(const DeviceBase*, const Buffer&)
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for(auto &chan : mChans)
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{
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std::fill(std::begin(chan.CurrentGains), std::end(chan.CurrentGains), 0.0f);
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chan.Filter.z1 = 0.0f;
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chan.Filter.z2 = 0.0f;
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chan.mTargetChannel = InvalidChannelIndex;
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chan.mFilter.z1 = 0.0f;
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chan.mFilter.z2 = 0.0f;
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chan.mCurrentGain = 0.0f;
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}
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}
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void AutowahState::update(const ContextBase *context, const EffectSlot *slot,
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const EffectProps *props, const EffectTarget target)
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const EffectProps *props_, const EffectTarget target)
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{
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auto &props = std::get<AutowahProps>(*props_);
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const DeviceBase *device{context->mDevice};
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const auto frequency = static_cast<float>(device->Frequency);
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const float ReleaseTime{clampf(props->Autowah.ReleaseTime, 0.001f, 1.0f)};
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const float ReleaseTime{std::clamp(props.ReleaseTime, 0.001f, 1.0f)};
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mAttackRate = std::exp(-1.0f / (props->Autowah.AttackTime*frequency));
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mAttackRate = std::exp(-1.0f / (props.AttackTime*frequency));
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mReleaseRate = std::exp(-1.0f / (ReleaseTime*frequency));
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/* 0-20dB Resonance Peak gain */
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mResonanceGain = std::sqrt(std::log10(props->Autowah.Resonance)*10.0f / 3.0f);
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mPeakGain = 1.0f - std::log10(props->Autowah.PeakGain / GainScale);
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mResonanceGain = std::sqrt(std::log10(props.Resonance)*10.0f / 3.0f);
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mPeakGain = 1.0f - std::log10(props.PeakGain / GainScale);
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mFreqMinNorm = MinFreq / frequency;
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mBandwidthNorm = (MaxFreq-MinFreq) / frequency;
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mOutTarget = target.Main->Buffer;
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auto set_gains = [slot,target](auto &chan, al::span<const float,MaxAmbiChannels> coeffs)
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{ ComputePanGains(target.Main, coeffs.data(), slot->Gain, chan.TargetGains); };
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SetAmbiPanIdentity(std::begin(mChans), slot->Wet.Buffer.size(), set_gains);
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auto set_channel = [this](size_t idx, uint outchan, float outgain)
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{
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mChans[idx].mTargetChannel = outchan;
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mChans[idx].mTargetGain = outgain;
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};
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target.Main->setAmbiMixParams(slot->Wet, slot->Gain, set_channel);
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}
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void AutowahState::process(const size_t samplesToDo,
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@@ -149,60 +156,66 @@ void AutowahState::process(const size_t samplesToDo,
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float env_delay{mEnvDelay};
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for(size_t i{0u};i < samplesToDo;i++)
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{
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float w0, sample, a;
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/* Envelope follower described on the book: Audio Effects, Theory,
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* Implementation and Application.
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*/
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sample = peak_gain * std::fabs(samplesIn[0][i]);
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a = (sample > env_delay) ? attack_rate : release_rate;
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const float sample{peak_gain * std::fabs(samplesIn[0][i])};
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const float a{(sample > env_delay) ? attack_rate : release_rate};
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env_delay = lerpf(sample, env_delay, a);
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/* Calculate the cos and alpha components for this sample's filter. */
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w0 = minf((bandwidth*env_delay + freq_min), 0.46f) * (al::numbers::pi_v<float>*2.0f);
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const float w0{std::min(bandwidth*env_delay + freq_min, 0.46f) *
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(al::numbers::pi_v<float>*2.0f)};
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mEnv[i].cos_w0 = std::cos(w0);
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mEnv[i].alpha = std::sin(w0)/(2.0f * QFactor);
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}
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mEnvDelay = env_delay;
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auto chandata = std::addressof(mChans[0]);
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auto chandata = mChans.begin();
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for(const auto &insamples : samplesIn)
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{
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const size_t outidx{chandata->mTargetChannel};
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if(outidx == InvalidChannelIndex)
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{
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++chandata;
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continue;
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}
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/* This effectively inlines BiquadFilter_setParams for a peaking
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* filter and BiquadFilter_processC. The alpha and cosine components
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* for the filter coefficients were previously calculated with the
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* envelope. Because the filter changes for each sample, the
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* coefficients are transient and don't need to be held.
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*/
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float z1{chandata->Filter.z1};
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float z2{chandata->Filter.z2};
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float z1{chandata->mFilter.z1};
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float z2{chandata->mFilter.z2};
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for(size_t i{0u};i < samplesToDo;i++)
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{
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const float alpha{mEnv[i].alpha};
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const float cos_w0{mEnv[i].cos_w0};
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float input, output;
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float a[3], b[3];
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b[0] = 1.0f + alpha*res_gain;
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b[1] = -2.0f * cos_w0;
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b[2] = 1.0f - alpha*res_gain;
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a[0] = 1.0f + alpha/res_gain;
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a[1] = -2.0f * cos_w0;
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a[2] = 1.0f - alpha/res_gain;
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const std::array b{
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1.0f + alpha*res_gain,
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-2.0f * cos_w0,
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1.0f - alpha*res_gain};
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const std::array a{
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1.0f + alpha/res_gain,
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-2.0f * cos_w0,
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1.0f - alpha/res_gain};
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input = insamples[i];
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output = input*(b[0]/a[0]) + z1;
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const float input{insamples[i]};
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const float output{input*(b[0]/a[0]) + z1};
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z1 = input*(b[1]/a[0]) - output*(a[1]/a[0]) + z2;
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z2 = input*(b[2]/a[0]) - output*(a[2]/a[0]);
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mBufferOut[i] = output;
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}
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chandata->Filter.z1 = z1;
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chandata->Filter.z2 = z2;
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chandata->mFilter.z1 = z1;
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chandata->mFilter.z2 = z2;
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/* Now, mix the processed sound data to the output. */
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MixSamples({mBufferOut, samplesToDo}, samplesOut, chandata->CurrentGains,
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chandata->TargetGains, samplesToDo, 0);
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MixSamples({mBufferOut.data(), samplesToDo}, samplesOut[outidx].data(),
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chandata->mCurrentGain, chandata->mTargetGain, samplesToDo);
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++chandata;
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}
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}
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