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/*
 * This file is part of Libav.
 *
 * Libav is free software; you can redistribute it and/or
 * modify it under the terms of the GNU Lesser General Public
 * License as published by the Free Software Foundation; either
 * version 2.1 of the License, or (at your option) any later version.
 *
 * Libav is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
 * Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with Libav; if not, write to the Free Software
 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
 */

#include <stdio.h>

#include "libavutil/common.h"
#include "libavutil/lfg.h"

#include "libavdevice/timefilter.h"

#define LFG_MAX ((1LL << 32) - 1)

int main(void)
{
    AVLFG prng;
    double n0, n1;
#define SAMPLES 1000
    double ideal[SAMPLES];
    double samples[SAMPLES];
    for (n0 = 0; n0 < 40; n0 = 2 * n0 + 1) {
        for (n1 = 0; n1 < 10; n1 = 2 * n1 + 1) {
            double best_error = 1000000000;
            double bestpar0   = 1;
            double bestpar1   = 0.001;
            int better, i;

            av_lfg_init(&prng, 123);
            for (i = 0; i < SAMPLES; i++) {
                ideal[i]   = 10 + i + n1 * i / (1000);
                samples[i] = ideal[i] + n0 * (av_lfg_get(&prng) - LFG_MAX / 2) / (LFG_MAX * 10LL);
            }

            do {
                double par0, par1;
                better = 0;
                for (par0 = bestpar0 * 0.8; par0 <= bestpar0 * 1.21; par0 += bestpar0 * 0.05) {
                    for (par1 = bestpar1 * 0.8; par1 <= bestpar1 * 1.21; par1 += bestpar1 * 0.05) {
                        double error   = 0;
                        TimeFilter *tf = ff_timefilter_new(1, par0, par1);
                        if (!tf) {
                            printf("Could not allocate memory for timefilter.\n");
                            exit(1);
                        }
                        for (i = 0; i < SAMPLES; i++) {
                            double filtered;
                            filtered = ff_timefilter_update(tf, samples[i], 1);
                            error   += (filtered - ideal[i]) * (filtered - ideal[i]);
                        }
                        ff_timefilter_destroy(tf);
                        if (error < best_error) {
                            best_error = error;
                            bestpar0   = par0;
                            bestpar1   = par1;
                            better     = 1;
                        }
                    }
                }
            } while (better);
            printf(" [%f %f %9f]", bestpar0, bestpar1, best_error);
        }
        printf("\n");
    }
    return 0;
}