This is mostly a simple lexical search+replace but the absence of operator< for std::weak_ptr<T> leads to some complications, particularly with Evoral::Sequence and ExportPortChannel.
466 lines
12 KiB
C++
466 lines
12 KiB
C++
/*
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* Copyright (C) 2018-2021 Robin Gareus <robin@gareus.org>
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*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation; either version 2 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License along
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* with this program; if not, write to the Free Software Foundation, Inc.,
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* 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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*/
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#include <assert.h>
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#include "pbd/error.h"
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#include "pbd/pthread_utils.h"
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#include "ardour/audio_buffer.h"
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#include "ardour/audioengine.h"
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#include "ardour/audiofilesource.h"
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#include "ardour/chan_mapping.h"
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#include "ardour/convolver.h"
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#include "ardour/dsp_filter.h"
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#include "ardour/readable.h"
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#include "ardour/session.h"
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#include "ardour/source_factory.h"
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#include "ardour/srcfilesource.h"
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#include "ardour/types.h"
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#include "pbd/i18n.h"
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using namespace ARDOUR;
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using namespace ARDOUR::DSP;
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using namespace ArdourZita;
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Convolution::Convolution (Session& session, uint32_t n_in, uint32_t n_out)
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: SessionHandleRef (session)
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, _n_samples (0)
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, _max_size (0)
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, _offset (0)
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, _configured (false)
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, _threaded (false)
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, _n_inputs (n_in)
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, _n_outputs (n_out)
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{
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AudioEngine::instance ()->BufferSizeChanged.connect_same_thread (*this, boost::bind (&Convolution::restart, this));
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}
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bool
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Convolution::add_impdata (
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uint32_t c_in,
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uint32_t c_out,
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std::shared_ptr<AudioReadable> readable,
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float gain,
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uint32_t pre_delay,
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sampleoffset_t offset,
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samplecnt_t length,
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uint32_t channel)
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{
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if (c_in >= _n_inputs || c_out >= _n_outputs) {
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return false;
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}
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if (!readable || readable->readable_length_samples () <= offset || readable->n_channels () <= channel) {
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return false;
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}
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_impdata.push_back (ImpData (c_in, c_out, readable, gain, pre_delay, offset, length));
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return true;
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}
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void
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Convolution::clear_impdata ()
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{
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_impdata.clear ();
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}
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bool
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Convolution::ready () const
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{
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return _configured && _convproc.state () == Convproc::ST_PROC;
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}
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void
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Convolution::restart ()
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{
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_convproc.stop_process ();
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_convproc.cleanup ();
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_convproc.set_options (0);
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if (_impdata.empty ()) {
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_configured = false;
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return;
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}
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uint32_t n_part;
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if (_threaded) {
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_n_samples = 64;
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n_part = Convproc::MAXPART;
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} else {
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_n_samples = _session.get_block_size ();
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uint32_t power_of_two;
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for (power_of_two = 1; 1U << power_of_two < _n_samples; ++power_of_two) ;
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_n_samples = 1 << power_of_two;
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n_part = std::min ((uint32_t)Convproc::MAXPART, _n_samples);
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}
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_offset = 0;
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_max_size = 0;
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for (std::vector<ImpData>::const_iterator i = _impdata.begin (); i != _impdata.end (); ++i) {
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_max_size = std::max (_max_size, (uint32_t)i->readable_length_samples ());
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}
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int rv = _convproc.configure (
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/*in*/ _n_inputs,
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/*out*/ _n_outputs,
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/*max-convolution length */ _max_size,
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/*quantum, nominal-buffersize*/ _n_samples,
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/*Convproc::MINPART*/ _n_samples,
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/*Convproc::MAXPART*/ n_part,
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/*density 0 = auto, i/o dependent */ 0);
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for (std::vector<ImpData>::const_iterator i = _impdata.begin (); i != _impdata.end (); ++i) {
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uint32_t pos = 0;
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const float ir_gain = i->gain;
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const uint32_t ir_delay = i->delay;
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const uint32_t ir_len = i->readable_length_samples ();
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while (true) {
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float ir[8192];
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samplecnt_t to_read = std::min ((uint32_t)8192, ir_len - pos);
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samplecnt_t ns = i->read (ir, pos, to_read);
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if (ns == 0) {
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break;
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}
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if (ir_gain != 1.f) {
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for (samplecnt_t i = 0; i < ns; ++i) {
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ir[i] *= ir_gain;
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}
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}
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rv = _convproc.impdata_create (
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/*i/o map */ i->c_in, i->c_out,
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/*stride, de-interleave */ 1,
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ir,
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ir_delay + pos, ir_delay + pos + ns);
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if (rv != 0) {
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break;
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}
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pos += ns;
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if (pos == _max_size) {
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break;
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}
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}
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}
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if (rv == 0) {
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rv = _convproc.start_process (pbd_absolute_rt_priority (PBD_SCHED_FIFO, AudioEngine::instance ()->client_real_time_priority () - 1), PBD_SCHED_FIFO);
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}
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assert (rv == 0); // bail out in debug builds
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if (rv != 0) {
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_convproc.stop_process ();
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_convproc.cleanup ();
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_configured = false;
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return;
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}
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_configured = true;
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#ifndef NDEBUG
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_convproc.print (stdout);
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#endif
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}
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void
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Convolution::run (BufferSet& bufs, ChanMapping const& in_map, ChanMapping const& out_map, pframes_t n_samples, samplecnt_t offset)
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{
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if (!ready ()) {
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process_map (&bufs, ChanCount (DataType::AUDIO, _n_outputs), in_map, out_map, n_samples, offset);
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return;
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}
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uint32_t done = 0;
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uint32_t remain = n_samples;
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while (remain > 0) {
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uint32_t ns = std::min (remain, _n_samples - _offset);
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for (uint32_t c = 0; c < _n_inputs; ++c) {
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bool valid;
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const uint32_t idx = in_map.get (DataType::AUDIO, c, &valid);
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if (!valid) {
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::memset (&_convproc.inpdata (c)[_offset], 0, sizeof (float) * ns);
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} else {
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AudioBuffer const& ab (bufs.get_audio (idx));
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memcpy (&_convproc.inpdata (c)[_offset], ab.data (done + offset), sizeof (float) * ns);
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}
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}
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for (uint32_t c = 0; c < _n_outputs; ++c) {
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bool valid;
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const uint32_t idx = out_map.get (DataType::AUDIO, c, &valid);
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if (valid) {
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AudioBuffer& ab (bufs.get_audio (idx));
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memcpy (ab.data (done + offset), &_convproc.outdata (c)[_offset], sizeof (float) * ns);
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}
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}
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_offset += ns;
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done += ns;
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remain -= ns;
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if (_offset == _n_samples) {
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_convproc.process ();
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_offset = 0;
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}
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}
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}
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/* ****************************************************************************/
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Convolver::Convolver (
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Session& session,
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std::string const& path,
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IRChannelConfig irc,
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IRSettings irs)
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: Convolution (session, ircc_in (irc), ircc_out (irc))
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, _irc (irc)
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, _ir_settings (irs)
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{
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_threaded = true;
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std::vector<std::shared_ptr<AudioReadable> > readables = AudioReadable::load (_session, path);
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if (readables.empty ()) {
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PBD::error << string_compose (_("Convolver: IR \"%1\" no usable audio-channels sound."), path) << endmsg;
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throw failed_constructor ();
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}
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if (readables[0]->readable_length_samples () > 0x1000000 /*2^24*/) {
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PBD::error << string_compose (_("Convolver: IR \"%1\" file too long."), path) << endmsg;
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throw failed_constructor ();
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}
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/* map channels
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* - Mono:
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* always use first only
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* - MonoToStereo:
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* mono-file: use 1st for M -> L, M -> R
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* else: use first two channels
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* - Stereo
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* mono-file: use 1st for both L -> L, R -> R, no x-over
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* stereo-file: L -> L, R -> R -- no L/R, R/L x-over
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* 3chan-file: ignore 3rd channel, use as stereo-file.
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* 4chan file: L -> L, L -> R, R -> R, R -> L
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*/
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uint32_t n_imp = n_inputs () * n_outputs ();
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uint32_t n_chn = readables.size ();
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if (_irc == Stereo && n_chn == 3) {
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/* ignore 3rd channel */
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n_chn = 2;
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}
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if (_irc == Stereo && n_chn <= 2) {
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/* ignore x-over */
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n_imp = 2;
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}
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#ifndef NDEBUG
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printf ("Convolver: Nin=%d Nout=%d Nimp=%d Nchn=%d\n", n_inputs (), n_outputs (), n_imp, n_chn);
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#endif
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assert (n_imp <= 4);
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for (uint32_t c = 0; c < n_imp; ++c) {
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int ir_c = c % n_chn;
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int io_o = c % n_outputs ();
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int io_i;
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if (n_imp == 2 && _irc == Stereo) {
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/* (imp, in, out)
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* Stereo (2, 2, 2) 1: L -> L, 2: R -> R
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*/
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io_i = c % n_inputs ();
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} else {
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/* (imp, in, out)
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* Mono (1, 1, 1) 1: M -> M
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* MonoToStereo (2, 1, 2) 1: M -> L, 2: M -> R
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* Stereo (4, 2, 2) 1: L -> L, 2: L -> R, 3: R -> L, 4: R -> R
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*/
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io_i = (c / n_outputs ()) % n_inputs ();
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}
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std::shared_ptr<AudioReadable> r = readables[ir_c];
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assert (r->n_channels () == 1);
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const float chan_gain = _ir_settings.gain * _ir_settings.channel_gain[c];
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const uint32_t chan_delay = _ir_settings.pre_delay + _ir_settings.channel_delay[c];
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#ifndef NDEBUG
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printf ("Convolver map: IR-chn %d: in %d -> out %d (gain: %.1fdB delay; %d)\n", ir_c + 1, io_i + 1, io_o + 1, 20.f * log10f (chan_gain), chan_delay);
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#endif
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add_impdata (io_i, io_o, r, chan_gain, chan_delay);
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}
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Convolution::restart ();
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}
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void
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Convolver::run_mono_buffered (float* buf, uint32_t n_samples)
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{
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assert (_irc == Mono);
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Convolution::run_mono_buffered (buf, n_samples);
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}
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void
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Convolution::run_mono_buffered (float* buf, uint32_t n_samples)
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{
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assert (_convproc.state () == Convproc::ST_PROC);
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uint32_t done = 0;
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uint32_t remain = n_samples;
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while (remain > 0) {
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uint32_t ns = std::min (remain, _n_samples - _offset);
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float* const in = _convproc.inpdata (/*channel*/ 0);
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float const* const out = _convproc.outdata (/*channel*/ 0);
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memcpy (&in[_offset], &buf[done], sizeof (float) * ns);
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memcpy (&buf[done], &out[_offset], sizeof (float) * ns);
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_offset += ns;
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done += ns;
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remain -= ns;
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if (_offset == _n_samples) {
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_convproc.process ();
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_offset = 0;
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}
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}
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}
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void
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Convolver::run_stereo_buffered (float* left, float* right, uint32_t n_samples)
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{
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assert (_convproc.state () == Convproc::ST_PROC);
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assert (_irc != Mono);
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uint32_t done = 0;
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uint32_t remain = n_samples;
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while (remain > 0) {
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uint32_t ns = std::min (remain, _n_samples - _offset);
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memcpy (&_convproc.inpdata (0)[_offset], &left[done], sizeof (float) * ns);
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if (_irc >= Stereo) {
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memcpy (&_convproc.inpdata (1)[_offset], &right[done], sizeof (float) * ns);
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}
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memcpy (&left[done], &_convproc.outdata (0)[_offset], sizeof (float) * ns);
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memcpy (&right[done], &_convproc.outdata (1)[_offset], sizeof (float) * ns);
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_offset += ns;
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done += ns;
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remain -= ns;
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if (_offset == _n_samples) {
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_convproc.process ();
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_offset = 0;
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}
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}
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}
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void
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Convolver::run_mono_no_latency (float* buf, uint32_t n_samples)
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{
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assert (_irc == Mono);
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Convolution::run_mono_no_latency (buf, n_samples);
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}
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void
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Convolution::run_mono_no_latency (float* buf, uint32_t n_samples)
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{
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assert (_convproc.state () == Convproc::ST_PROC);
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uint32_t done = 0;
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uint32_t remain = n_samples;
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while (remain > 0) {
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uint32_t ns = std::min (remain, _n_samples - _offset);
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float* const in = _convproc.inpdata (/*channel*/ 0);
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float* const out = _convproc.outdata (/*channel*/ 0);
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memcpy (&in[_offset], &buf[done], sizeof (float) * ns);
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if (_offset + ns == _n_samples) {
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_convproc.process ();
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memcpy (&buf[done], &out[_offset], sizeof (float) * ns);
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_offset = 0;
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} else {
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assert (remain == ns);
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_convproc.tailonly (_offset + ns);
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memcpy (&buf[done], &out[_offset], sizeof (float) * ns);
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_offset += ns;
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}
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done += ns;
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remain -= ns;
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}
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}
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void
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Convolver::run_stereo_no_latency (float* left, float* right, uint32_t n_samples)
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{
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assert (_convproc.state () == Convproc::ST_PROC);
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assert (_irc != Mono);
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uint32_t done = 0;
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uint32_t remain = n_samples;
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float* const outL = _convproc.outdata (0);
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float* const outR = _convproc.outdata (1);
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while (remain > 0) {
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uint32_t ns = std::min (remain, _n_samples - _offset);
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memcpy (&_convproc.inpdata (0)[_offset], &left[done], sizeof (float) * ns);
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if (_irc >= Stereo) {
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memcpy (&_convproc.inpdata (1)[_offset], &right[done], sizeof (float) * ns);
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}
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if (_offset + ns == _n_samples) {
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_convproc.process ();
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memcpy (&left[done], &outL[_offset], sizeof (float) * ns);
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memcpy (&right[done], &outR[_offset], sizeof (float) * ns);
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_offset = 0;
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} else {
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assert (remain == ns);
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_convproc.tailonly (_offset + ns);
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memcpy (&left[done], &outL[_offset], sizeof (float) * ns);
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memcpy (&right[done], &outR[_offset], sizeof (float) * ns);
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_offset += ns;
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}
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done += ns;
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remain -= ns;
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}
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}
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