'libs/panners' - Use 'std::vector' to implement arrays whose size is unknown (required to be buildable with MSVC)
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@ -31,6 +31,7 @@
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of the software.
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*/
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#include <vector>
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#include <cmath>
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#include <algorithm>
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#include <stdlib.h>
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@ -45,6 +46,13 @@ using namespace std;
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const double VBAPSpeakers::MIN_VOL_P_SIDE_LGTH = 0.01;
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typedef std::vector<double> DoubleVector;
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typedef std::vector<float> FloatVector;
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typedef std::vector<bool> BoolVector;
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typedef std::vector<int> IntVector;
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typedef std::vector<IntVector> IntVector2D;
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typedef std::vector<DoubleVector> DoubleVector2D;
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VBAPSpeakers::VBAPSpeakers (boost::shared_ptr<Speakers> s)
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: _dimension (2)
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, _parent (s)
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@ -104,17 +112,18 @@ VBAPSpeakers::choose_speaker_triplets(struct ls_triplet_chain **ls_triplets)
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int i,j,k,l,table_size;
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int n_speakers = _speakers.size ();
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int connections[n_speakers][n_speakers];
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float distance_table[((n_speakers * (n_speakers - 1)) / 2)];
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int distance_table_i[((n_speakers * (n_speakers - 1)) / 2)];
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int distance_table_j[((n_speakers * (n_speakers - 1)) / 2)];
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float distance;
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struct ls_triplet_chain *trip_ptr, *prev, *tmp_ptr;
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if (n_speakers == 0) {
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if (n_speakers < 1) {
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return;
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}
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FloatVector distance_table(((n_speakers * (n_speakers - 1)) / 2));
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IntVector distance_table_i(((n_speakers * (n_speakers - 1)) / 2));
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IntVector distance_table_j(((n_speakers * (n_speakers - 1)) / 2));
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IntVector2D connections(n_speakers, IntVector(n_speakers));
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float distance;
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struct ls_triplet_chain *trip_ptr, *prev, *tmp_ptr;
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for (i = 0; i < n_speakers; i++) {
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for (j = i+1; j < n_speakers; j++) {
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for(k=j+1;k<n_speakers;k++) {
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@ -505,25 +514,25 @@ VBAPSpeakers::choose_speaker_pairs (){
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matrices and stores the data to a global array
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*/
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const int n_speakers = _speakers.size();
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const double AZIMUTH_DELTA_THRESHOLD_DEGREES = (180.0/M_PI) * (M_PI - 0.175);
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int sorted_speakers[n_speakers];
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bool exists[n_speakers];
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double inverse_matrix[n_speakers][4];
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if (n_speakers < 1) {
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return;
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}
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IntVector sorted_speakers(n_speakers);
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BoolVector exists(n_speakers);
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DoubleVector2D inverse_matrix(n_speakers, DoubleVector(4));
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const double AZIMUTH_DELTA_THRESHOLD_DEGREES = (180.0/M_PI) * (M_PI - 0.175);
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int expected_pairs = 0;
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int pair;
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int speaker;
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if (n_speakers == 0) {
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return;
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}
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for (speaker = 0; speaker < n_speakers; ++speaker) {
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exists[speaker] = false;
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}
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/* sort loudspeakers according their aximuth angle */
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sort_2D_lss (sorted_speakers);
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sort_2D_lss (&sorted_speakers[0]);
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/* adjacent loudspeakers are the loudspeaker pairs to be used.*/
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for (speaker = 0; speaker < n_speakers-1; speaker++) {
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@ -532,7 +541,7 @@ VBAPSpeakers::choose_speaker_pairs (){
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_speakers[sorted_speakers[speaker]].angles().azi) <= AZIMUTH_DELTA_THRESHOLD_DEGREES) {
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if (calc_2D_inv_tmatrix( _speakers[sorted_speakers[speaker]].angles().azi,
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_speakers[sorted_speakers[speaker+1]].angles().azi,
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inverse_matrix[speaker]) != 0){
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&inverse_matrix[speaker][0]) != 0){
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exists[speaker] = true;
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expected_pairs++;
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}
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@ -543,7 +552,7 @@ VBAPSpeakers::choose_speaker_pairs (){
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+_speakers[sorted_speakers[0]].angles().azi) <= AZIMUTH_DELTA_THRESHOLD_DEGREES) {
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if (calc_2D_inv_tmatrix(_speakers[sorted_speakers[n_speakers-1]].angles().azi,
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_speakers[sorted_speakers[0]].angles().azi,
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inverse_matrix[n_speakers-1]) != 0) {
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&inverse_matrix[n_speakers-1][0]) != 0) {
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exists[n_speakers-1] = true;
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expected_pairs++;
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}
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