TorqueGameEngines/Torque3D
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Initial commit

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added libraries:
opus
flac
libsndfile

updated:
libvorbis
libogg
openal

- Everything works as expected for now. Bare in mind libsndfile needed the check for whether or not it could find the xiph libraries removed in order for this to work.
This commit is contained in:
marauder2k7 2024-03-21 17:33:47 +00:00
parent 05a083ca6f
commit a745fc3757
1954 changed files with 431332 additions and 21037 deletions
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16
Engine/lib/openal-soft/common/polyphase_resampler.cpp
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@ -21,7 +21,7 @@ using uint = unsigned int;
*/
double Sinc(const double x)
{
if(unlikely(std::abs(x) < Epsilon))
if(std::abs(x) < Epsilon) UNLIKELY
return 1.0;
return std::sin(al::numbers::pi*x) / (al::numbers::pi*x);
}
@ -96,7 +96,7 @@ constexpr uint Gcd(uint x, uint y)
constexpr uint CalcKaiserOrder(const double rejection, const double transition)
{
const double w_t{2.0 * al::numbers::pi * transition};
if LIKELY(rejection > 21.0)
if(rejection > 21.0) LIKELY
return static_cast<uint>(std::ceil((rejection - 7.95) / (2.285 * w_t)));
return static_cast<uint>(std::ceil(5.79 / w_t));
}
@ -104,7 +104,7 @@ constexpr uint CalcKaiserOrder(const double rejection, const double transition)
// Calculates the beta value of the Kaiser window. Rejection is in dB.
constexpr double CalcKaiserBeta(const double rejection)
{
if LIKELY(rejection > 50.0)
if(rejection > 50.0) LIKELY
return 0.1102 * (rejection - 8.7);
if(rejection >= 21.0)
return (0.5842 * std::pow(rejection - 21.0, 0.4)) +
@ -171,13 +171,13 @@ void PPhaseResampler::init(const uint srcRate, const uint dstRate)
// polyphase filter implementation.
void PPhaseResampler::process(const uint inN, const double *in, const uint outN, double *out)
{
if UNLIKELY(outN == 0)
if(outN == 0) UNLIKELY
return;
// Handle in-place operation.
std::vector<double> workspace;
double *work{out};
if UNLIKELY(work == in)
if(work == in) UNLIKELY
{
workspace.resize(outN);
work = workspace.data();
@ -195,17 +195,17 @@ void PPhaseResampler::process(const uint inN, const double *in, const uint outN,
// Only take input when 0 <= j_s < inN.
double r{0.0};
if LIKELY(j_f < m)
if(j_f < m) LIKELY
{
size_t filt_len{(m-j_f+p-1) / p};
if LIKELY(j_s+1 > inN)
if(j_s+1 > inN) LIKELY
{
size_t skip{std::min<size_t>(j_s+1 - inN, filt_len)};
j_f += p*skip;
j_s -= skip;
filt_len -= skip;
}
if(size_t todo{std::min<size_t>(j_s+1, filt_len)})
if(size_t todo{std::min<size_t>(j_s+1, filt_len)}) LIKELY
{
do {
r += f[j_f] * in[j_s];