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#include "SKP_Silk_main_FIX.h"

/* Entropy constrained MATRIX-weighted VQ, hard-coded to 5-element vectors, for a single input data vector */
void SKP_Silk_VQ_WMat_EC_FIX(
    SKP_int                         *ind,               /* O    index of best codebook vector               */
    SKP_int32                       *rate_dist_Q14,     /* O    best weighted quantization error + mu * rate*/
    const SKP_int16                 *in_Q14,            /* I    input vector to be quantized                */
    const SKP_int32                 *W_Q18,             /* I    weighting matrix                            */
    const SKP_int16                 *cb_Q14,            /* I    codebook                                    */
    const SKP_int16                 *cl_Q6,             /* I    code length for each codebook vector        */
    const SKP_int                   mu_Q8,              /* I    tradeoff between weighted error and rate    */
    SKP_int                         L                   /* I    number of vectors in codebook               */
)
{
    SKP_int   k;
    const SKP_int16 *cb_row_Q14;
    SKP_int16 diff_Q14[ 5 ];
    SKP_int32 sum1_Q14, sum2_Q16;

    /* Loop over codebook */
    *rate_dist_Q14 = SKP_int32_MAX;
    cb_row_Q14 = cb_Q14;
    for( k = 0; k < L; k++ ) {
        diff_Q14[ 0 ] = in_Q14[ 0 ] - cb_row_Q14[ 0 ];
        diff_Q14[ 1 ] = in_Q14[ 1 ] - cb_row_Q14[ 1 ];
        diff_Q14[ 2 ] = in_Q14[ 2 ] - cb_row_Q14[ 2 ];
        diff_Q14[ 3 ] = in_Q14[ 3 ] - cb_row_Q14[ 3 ];
        diff_Q14[ 4 ] = in_Q14[ 4 ] - cb_row_Q14[ 4 ];

        /* Weighted rate */
        sum1_Q14 = SKP_SMULBB( mu_Q8, cl_Q6[ k ] );

        SKP_assert( sum1_Q14 >= 0 );

        /* first row of W_Q18 */
        sum2_Q16 = SKP_SMULWB(           W_Q18[  1 ], diff_Q14[ 1 ] );
        sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[  2 ], diff_Q14[ 2 ] );
        sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[  3 ], diff_Q14[ 3 ] );
        sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[  4 ], diff_Q14[ 4 ] );
        sum2_Q16 = SKP_LSHIFT( sum2_Q16, 1 );
        sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[  0 ], diff_Q14[ 0 ] );
        sum1_Q14 = SKP_SMLAWB( sum1_Q14, sum2_Q16,    diff_Q14[ 0 ] );

        /* second row of W_Q18 */
        sum2_Q16 = SKP_SMULWB(           W_Q18[  7 ], diff_Q14[ 2 ] ); 
        sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[  8 ], diff_Q14[ 3 ] );
        sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[  9 ], diff_Q14[ 4 ] );
        sum2_Q16 = SKP_LSHIFT( sum2_Q16, 1 );
        sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[  6 ], diff_Q14[ 1 ] );
        sum1_Q14 = SKP_SMLAWB( sum1_Q14, sum2_Q16,    diff_Q14[ 1 ] );

        /* third row of W_Q18 */
        sum2_Q16 = SKP_SMULWB(           W_Q18[ 13 ], diff_Q14[ 3 ] ); 
        sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[ 14 ], diff_Q14[ 4 ] );
        sum2_Q16 = SKP_LSHIFT( sum2_Q16, 1 );
        sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[ 12 ], diff_Q14[ 2 ] );
        sum1_Q14 = SKP_SMLAWB( sum1_Q14, sum2_Q16,    diff_Q14[ 2 ] );

        /* fourth row of W_Q18 */
        sum2_Q16 = SKP_SMULWB(           W_Q18[ 19 ], diff_Q14[ 4 ] ); 
        sum2_Q16 = SKP_LSHIFT( sum2_Q16, 1 );
        sum2_Q16 = SKP_SMLAWB( sum2_Q16, W_Q18[ 18 ], diff_Q14[ 3 ] );
        sum1_Q14 = SKP_SMLAWB( sum1_Q14, sum2_Q16,    diff_Q14[ 3 ] );

        /* last row of W_Q18 */
        sum2_Q16 = SKP_SMULWB(           W_Q18[ 24 ], diff_Q14[ 4 ] ); 
        sum1_Q14 = SKP_SMLAWB( sum1_Q14, sum2_Q16,    diff_Q14[ 4 ] );

        SKP_assert( sum1_Q14 >= 0 );

        /* find best */
        if( sum1_Q14 < *rate_dist_Q14 ) {
            *rate_dist_Q14 = sum1_Q14;
            *ind = k;
        }

        /* Go to next cbk vector */
        cb_row_Q14 += LTP_ORDER;
    }
}
