/*
 *  Copyright (c) 2015 The WebM project authors. All Rights Reserved.
 *
 *  Use of this source code is governed by a BSD-style license
 *  that can be found in the LICENSE file in the root of the source
 *  tree. An additional intellectual property rights grant can be found
 *  in the file PATENTS.  All contributing project authors may
 *  be found in the AUTHORS file in the root of the source tree.
 */

#ifndef VP10_ENCODER_PALETTE_H_
#define VP10_ENCODER_PALETTE_H_

#include "vp10/common/blockd.h"

#ifdef __cplusplus
extern "C" {
#endif

void vp10_calc_indices(const float *data, const float *centroids,
                       uint8_t *indices, int n, int k, int dim);

// Given 'data' of size 'n' and initial guess of 'centroids' of size 'k x dim',
// runs up to 'max_itr' iterations of k-means algorithm to get updated
// 'centroids' and the centroid 'indices' for elements in 'data'.
// Note: the output centroids are rounded off to nearest integers.
void vp10_k_means(const float *data, float *centroids, uint8_t *indices, int n,
                  int k, int dim, int max_itr);

// Given a list of centroids, returns the unique number of centroids 'k', and
// puts these unique centroids in first 'k' indices of 'centroids' array.
// Ideally, the centroids should be rounded to integers before calling this
// method.
int vp10_remove_duplicates(float *centroids, int num_centroids);

int vp10_count_colors(const uint8_t *src, int stride, int rows, int cols);
#if CONFIG_VP9_HIGHBITDEPTH
int vp10_count_colors_highbd(const uint8_t *src8, int stride, int rows,
                             int cols, int bit_depth);
#endif  // CONFIG_VP9_HIGHBITDEPTH

#ifdef __cplusplus
}  // extern "C"
#endif

#endif /* VP10_ENCODER_PALETTE_H_ */