avutil: rename lls to lls2

Signed-off-by: Michael Niedermayer <michaelni@gmx.at>

1 files changed, 0 insertions, 71 deletions

diff --git a/libavutil/lls.h b/libavutil/lls.h
deleted file mode 100644
index c62d78a230..0000000000
--- a/libavutil/lls.h
+++ /dev/null
@@ -1,71 +0,0 @@
-/*
- * linear least squares model
- *
- * Copyright (c) 2006 Michael Niedermayer <michaelni@gmx.at>
- *
- * This file is part of FFmpeg.
- *
- * FFmpeg 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.
- *
- * FFmpeg 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 FFmpeg; if not, write to the Free Software
- * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
- */
-
-#ifndef AVUTIL_LLS_H
-#define AVUTIL_LLS_H
-
-#include "common.h"
-#include "mem.h"
-#include "version.h"
-
-#define MAX_VARS 32
-#define MAX_VARS_ALIGN FFALIGN(MAX_VARS+1,4)
-
-//FIXME avoid direct access to LLSModel from outside
-
-/**
- * Linear least squares model.
- */
-typedef struct LLSModel {
-    DECLARE_ALIGNED(32, double, covariance[MAX_VARS_ALIGN][MAX_VARS_ALIGN]);
-    DECLARE_ALIGNED(32, double, coeff[MAX_VARS][MAX_VARS]);
-    double variance[MAX_VARS];
-    int indep_count;
-    /**
-     * Take the outer-product of var[] with itself, and add to the covariance matrix.
-     * @param m this context
-     * @param var training samples, starting with the value to be predicted
-     *            32-byte aligned, and any padding elements must be initialized
-     *            (i.e not denormal/nan).
-     */
-    void (*update_lls)(struct LLSModel *m, double *var);
-    /**
-     * Inner product of var[] and the LPC coefs.
-     * @param m this context
-     * @param var training samples, excluding the value to be predicted. unaligned.
-     * @param order lpc order
-     */
-    double (*evaluate_lls)(struct LLSModel *m, double *var, int order);
-} LLSModel;
-
-void avpriv_init_lls(LLSModel *m, int indep_count);
-void ff_init_lls_x86(LLSModel *m);
-void avpriv_solve_lls(LLSModel *m, double threshold, unsigned short min_order);
-
-#if FF_API_LLS_PRIVATE
-void av_init_lls(LLSModel *m, int indep_count);
-void av_update_lls(LLSModel *m, double *param, double decay);
-void av_solve_lls(LLSModel *m, double threshold, int min_order);
-double av_evaluate_lls(LLSModel *m, double *param, int order);
-#endif /* FF_API_LLS_PRIVATE */
-
-#endif /* AVUTIL_LLS_H */