FFmpeg coverage


Directory: ../../../ffmpeg/
File: src/libavutil/lls.c
Date: 2024-11-20 23:03:26
Exec Total Coverage
Lines: 46 47 97.9%
Functions: 4 4 100.0%
Branches: 27 28 96.4%

Line Branch Exec Source
1 /*
2 * linear least squares model
3 *
4 * Copyright (c) 2006 Michael Niedermayer <michaelni@gmx.at>
5 *
6 * This file is part of FFmpeg.
7 *
8 * FFmpeg is free software; you can redistribute it and/or
9 * modify it under the terms of the GNU Lesser General Public
10 * License as published by the Free Software Foundation; either
11 * version 2.1 of the License, or (at your option) any later version.
12 *
13 * FFmpeg is distributed in the hope that it will be useful,
14 * but WITHOUT ANY WARRANTY; without even the implied warranty of
15 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
16 * Lesser General Public License for more details.
17 *
18 * You should have received a copy of the GNU Lesser General Public
19 * License along with FFmpeg; if not, write to the Free Software
20 * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
21 */
22
23 /**
24 * @file
25 * linear least squares model
26 */
27
28 #include <math.h>
29 #include <string.h>
30
31 #include "config.h"
32 #include "attributes.h"
33 #include "float_dsp.h"
34 #include "lls.h"
35
36 836453 static void update_lls(LLSModel *m, const double *var)
37 {
38 int i, j;
39
40
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41
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45170232 for (j = i; j <= m->indep_count; j++) {
42 37642071 m->covariance[i][j] += var[i] * var[j];
43 }
44 }
45 836453 }
46
47 182 void avpriv_solve_lls(LLSModel *m, double threshold, unsigned short min_order)
48 {
49 int i, j, k;
50 182 double (*factor)[MAX_VARS_ALIGN] = (void *) &m->covariance[1][0];
51 182 double (*covar) [MAX_VARS_ALIGN] = (void *) &m->covariance[1][1];
52 182 double *covar_y = m->covariance[0];
53 182 int count = m->indep_count;
54
55
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56
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57 6552 double sum = covar[i][j];
58
59
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60 15288 sum -= factor[i][k] * factor[j][k];
61
62
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6552 if (i == j) {
63
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1456 if (sum < threshold)
64 sum = 1.0;
65 1456 factor[i][i] = sqrt(sum);
66 } else {
67 5096 factor[j][i] = sum / factor[i][i];
68 }
69 }
70 }
71
72
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73 1456 double sum = covar_y[i + 1];
74
75
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6552 for (k = 0; k <= i-1; k++)
76 5096 sum -= factor[i][k] * m->coeff[0][k];
77
78 1456 m->coeff[0][i] = sum / factor[i][i];
79 }
80
81
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1638 for (j = count - 1; j >= min_order; j--) {
82
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8008 for (i = j; i >= 0; i--) {
83 6552 double sum = m->coeff[0][i];
84
85
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86 15288 sum -= factor[k][i] * m->coeff[j][k];
87
88 6552 m->coeff[j][i] = sum / factor[i][i];
89 }
90
91 1456 m->variance[j] = covar_y[0];
92
93
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94 6552 double sum = m->coeff[j][i] * covar[i][i] - 2 * covar_y[i + 1];
95
96
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97 15288 sum += 2 * m->coeff[j][k] * covar[k][i];
98
99 6552 m->variance[j] += m->coeff[j][i] * sum;
100 }
101 }
102 182 }
103
104 836462 static double evaluate_lls(LLSModel *m, const double *param, int order)
105 {
106 836462 return ff_scalarproduct_double_c(m->coeff[order], param, order + 1);
107 }
108
109 221 av_cold void avpriv_init_lls(LLSModel *m, int indep_count)
110 {
111 221 memset(m, 0, sizeof(LLSModel));
112 221 m->indep_count = indep_count;
113 221 m->update_lls = update_lls;
114 221 m->evaluate_lls = evaluate_lls;
115 #if ARCH_RISCV
116 ff_init_lls_riscv(m);
117 #elif ARCH_X86
118 221 ff_init_lls_x86(m);
119 #endif
120 221 }
121