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diff --git a/media/pocketsphinx/src/vector.c b/media/pocketsphinx/src/vector.c
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-/* -*- c-basic-offset: 4; indent-tabs-mode: nil -*- */
-/* ====================================================================
- * Copyright (c) 1999-2004 Carnegie Mellon University. All rights
- * reserved.
- *
- * Redistribution and use in source and binary forms, with or without
- * modification, are permitted provided that the following conditions
- * are met:
- *
- * 1. Redistributions of source code must retain the above copyright
- * notice, this list of conditions and the following disclaimer.
- *
- * 2. Redistributions in binary form must reproduce the above copyright
- * notice, this list of conditions and the following disclaimer in
- * the documentation and/or other materials provided with the
- * distribution.
- *
- * This work was supported in part by funding from the Defense Advanced
- * Research Projects Agency and the National Science Foundation of the
- * United States of America, and the CMU Sphinx Speech Consortium.
- *
- * THIS SOFTWARE IS PROVIDED BY CARNEGIE MELLON UNIVERSITY ``AS IS'' AND
- * ANY EXPRESSED OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
- * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
- * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL CARNEGIE MELLON UNIVERSITY
- * NOR ITS EMPLOYEES BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
- * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
- * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
- * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
- * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
- * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
- * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
- *
- * ====================================================================
- *
- */
-
-/*
- * vector.c
- *
- * **********************************************
- * CMU ARPA Speech Project
- *
- * Copyright (c) 1997 Carnegie Mellon University.
- * ALL RIGHTS RESERVED.
- * **********************************************
- *
- * HISTORY
- *
- * 22-Nov-2004 M K Ravishankar (rkm@cs.cmu.edu) at Carnegie Mellon University
- * Imported from s3.2, for supporting s3 format continuous
- * acoustic models.
- *
- * 10-Mar-1999 M K Ravishankar (rkm@cs.cmu.edu) at Carnegie Mellon University.
- * Added vector_accum(), vector_vqlabel(), and vector_vqgen().
- *
- * 09-Mar-1999 M K Ravishankar (rkm@cs.cmu.edu) at Carnegie Mellon University.
- * Added vector_is_zero(), vector_cmp(), and vector_dist_eucl().
- * Changed the name vector_dist_eval to vector_dist_maha.
- *
- * 07-Oct-98 M K Ravishankar (rkm@cs.cmu.edu) at Carnegie Mellon University.
- * Added distance computation related functions.
- *
- * 12-Nov-95 M K Ravishankar (rkm@cs.cmu.edu) at Carnegie Mellon University.
- * Copied from Eric Thayer.
- */
-
-/* System headers. */
-#include <stdio.h>
-#include <stdlib.h>
-#include <string.h>
-#include <assert.h>
-#include <math.h>
-
-/* SphinxBase headers. */
-#include <sphinxbase/err.h>
-#include <sphinxbase/ckd_alloc.h>
-#include <sphinxbase/bitvec.h>
-
-/* Local headers. */
-#include "vector.h"
-
-#if defined(_WIN32)
-#define srandom srand
-#define random rand
-#endif
-
-
-float64
-vector_sum_norm(float32 * vec, int32 len)
-{
- float64 sum, f;
- int32 i;
-
- sum = 0.0;
- for (i = 0; i < len; i++)
- sum += vec[i];
-
- if (sum != 0.0) {
- f = 1.0 / sum;
- for (i = 0; i < len; i++)
- vec[i] *= f;
- }
-
- return sum;
-}
-
-
-void
-vector_floor(float32 * vec, int32 len, float64 flr)
-{
- int32 i;
-
- for (i = 0; i < len; i++)
- if (vec[i] < flr)
- vec[i] = (float32) flr;
-}
-
-
-void
-vector_nz_floor(float32 * vec, int32 len, float64 flr)
-{
- int32 i;
-
- for (i = 0; i < len; i++)
- if ((vec[i] != 0.0) && (vec[i] < flr))
- vec[i] = (float32) flr;
-}
-
-
-void
-vector_print(FILE * fp, vector_t v, int32 dim)
-{
- int32 i;
-
- for (i = 0; i < dim; i++)
- fprintf(fp, " %11.4e", v[i]);
- fprintf(fp, "\n");
- fflush(fp);
-}
-
-
-int32
-vector_is_zero(float32 * vec, int32 len)
-{
- int32 i;
-
- for (i = 0; (i < len) && (vec[i] == 0.0); i++);
- return (i == len); /* TRUE iff all mean values are 0.0 */
-}