201 lines
5.7 KiB
C
201 lines
5.7 KiB
C
/*
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Copyright (C) 2003-2017 Paul Brossier <piem@aubio.org>
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This file is part of aubio.
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aubio 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 3 of the License, or
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(at your option) any later version.
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aubio 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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You should have received a copy of the GNU General Public License
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along with aubio. If not, see <http://www.gnu.org/licenses/>.
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*/
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/* This algorithm was developed by A. de Cheveigné and H. Kawahara and
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* published in:
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*
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* de Cheveigné, A., Kawahara, H. (2002) "YIN, a fundamental frequency
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* estimator for speech and music", J. Acoust. Soc. Am. 111, 1917-1930.
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*
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* see http://recherche.ircam.fr/equipes/pcm/pub/people/cheveign.html
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*/
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#include "aubio_priv.h"
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#include "fvec.h"
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#include "mathutils.h"
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#include "cvec.h"
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#include "spectral/fft.h"
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#include "pitch/pitchyinfast.h"
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struct _aubio_pitchyinfast_t
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{
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fvec_t *yin;
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smpl_t tol;
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uint_t peak_pos;
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fvec_t *tmpdata;
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fvec_t *sqdiff;
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fvec_t *kernel;
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fvec_t *samples_fft;
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fvec_t *kernel_fft;
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aubio_fft_t *fft;
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};
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aubio_pitchyinfast_t *
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new_aubio_pitchyinfast (uint_t bufsize)
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{
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aubio_pitchyinfast_t *o = AUBIO_NEW (aubio_pitchyinfast_t);
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o->yin = new_fvec (bufsize / 2);
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o->tmpdata = new_fvec (bufsize);
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o->sqdiff = new_fvec (bufsize / 2);
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o->kernel = new_fvec (bufsize);
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o->samples_fft = new_fvec (bufsize);
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o->kernel_fft = new_fvec (bufsize);
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o->fft = new_aubio_fft (bufsize);
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if (!o->yin || !o->tmpdata || !o->tmpdata || !o->sqdiff
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|| !o->kernel || !o->samples_fft || !o->kernel || !o->fft)
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{
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del_aubio_pitchyinfast(o);
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return NULL;
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}
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o->tol = 0.15;
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o->peak_pos = 0;
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return o;
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}
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void
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del_aubio_pitchyinfast (aubio_pitchyinfast_t * o)
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{
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if (o->yin)
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del_fvec (o->yin);
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if (o->tmpdata)
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del_fvec (o->tmpdata);
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if (o->sqdiff)
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del_fvec (o->sqdiff);
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if (o->kernel)
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del_fvec (o->kernel);
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if (o->samples_fft)
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del_fvec (o->samples_fft);
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if (o->kernel_fft)
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del_fvec (o->kernel_fft);
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if (o->fft)
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del_aubio_fft (o->fft);
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AUBIO_FREE (o);
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}
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/* all the above in one */
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void
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aubio_pitchyinfast_do (aubio_pitchyinfast_t * o, const fvec_t * input, fvec_t * out)
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{
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const smpl_t tol = o->tol;
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fvec_t* yin = o->yin;
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const uint_t length = yin->length;
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uint_t B = o->tmpdata->length;
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uint_t W = o->yin->length; // B / 2
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fvec_t tmp_slice, kernel_ptr;
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uint_t tau;
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sint_t period;
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smpl_t tmp2 = 0.;
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// compute r_t(0) + r_t+tau(0)
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{
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fvec_t *squares = o->tmpdata;
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fvec_weighted_copy(input, input, squares);
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#if 0
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for (tau = 0; tau < W; tau++) {
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tmp_slice.data = squares->data + tau;
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tmp_slice.length = W;
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o->sqdiff->data[tau] = fvec_sum(&tmp_slice);
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}
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#else
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tmp_slice.data = squares->data;
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tmp_slice.length = W;
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o->sqdiff->data[0] = fvec_sum(&tmp_slice);
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for (tau = 1; tau < W; tau++) {
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o->sqdiff->data[tau] = o->sqdiff->data[tau-1];
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o->sqdiff->data[tau] -= squares->data[tau-1];
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o->sqdiff->data[tau] += squares->data[W+tau-1];
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}
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#endif
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fvec_add(o->sqdiff, o->sqdiff->data[0]);
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}
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// compute r_t(tau) = -2.*ifft(fft(samples)*fft(samples[W-1::-1]))
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{
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fvec_t *compmul = o->tmpdata;
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fvec_t *rt_of_tau = o->samples_fft;
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aubio_fft_do_complex(o->fft, input, o->samples_fft);
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// build kernel, take a copy of first half of samples
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tmp_slice.data = input->data;
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tmp_slice.length = W;
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kernel_ptr.data = o->kernel->data + 1;
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kernel_ptr.length = W;
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fvec_copy(&tmp_slice, &kernel_ptr);
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// reverse them
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fvec_rev(&kernel_ptr);
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// compute fft(kernel)
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aubio_fft_do_complex(o->fft, o->kernel, o->kernel_fft);
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// compute complex product
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compmul->data[0] = o->kernel_fft->data[0] * o->samples_fft->data[0];
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for (tau = 1; tau < W; tau++) {
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compmul->data[tau] = o->kernel_fft->data[tau] * o->samples_fft->data[tau];
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compmul->data[tau] -= o->kernel_fft->data[B-tau] * o->samples_fft->data[B-tau];
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}
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compmul->data[W] = o->kernel_fft->data[W] * o->samples_fft->data[W];
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for (tau = 1; tau < W; tau++) {
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compmul->data[B-tau] = o->kernel_fft->data[B-tau] * o->samples_fft->data[tau];
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compmul->data[B-tau] += o->kernel_fft->data[tau] * o->samples_fft->data[B-tau];
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}
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// compute inverse fft
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aubio_fft_rdo_complex(o->fft, compmul, rt_of_tau);
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// compute square difference r_t(tau) = sqdiff - 2 * r_t_tau[W-1:-1]
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for (tau = 0; tau < W; tau++) {
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yin->data[tau] = o->sqdiff->data[tau] - 2. * rt_of_tau->data[tau+W];
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}
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}
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// now build yin and look for first minimum
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fvec_zeros(out);
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yin->data[0] = 1.;
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for (tau = 1; tau < length; tau++) {
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tmp2 += yin->data[tau];
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if (tmp2 != 0) {
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yin->data[tau] *= tau / tmp2;
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} else {
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yin->data[tau] = 1.;
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}
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period = tau - 3;
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if (tau > 4 && (yin->data[period] < tol) &&
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(yin->data[period] < yin->data[period + 1])) {
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o->peak_pos = (uint_t)period;
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out->data[0] = fvec_quadratic_peak_pos (yin, o->peak_pos);
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return;
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}
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}
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// use global minimum
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o->peak_pos = (uint_t)fvec_min_elem (yin);
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out->data[0] = fvec_quadratic_peak_pos (yin, o->peak_pos);
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}
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smpl_t
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aubio_pitchyinfast_get_confidence (aubio_pitchyinfast_t * o) {
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return 1. - o->yin->data[o->peak_pos];
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}
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uint_t
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aubio_pitchyinfast_set_tolerance (aubio_pitchyinfast_t * o, smpl_t tol)
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{
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o->tol = tol;
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return 0;
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}
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smpl_t
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aubio_pitchyinfast_get_tolerance (aubio_pitchyinfast_t * o)
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{
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return o->tol;
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}
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