/*
 *  ReplayGainAnalysis - analyzes input samples and give the recommended dB change
 *  Copyright (C) 2001-2009 David Robinson and Glen Sawyer
 *  Improvements and optimizations added by Frank Klemm, and by Marcel Müller 
 *
 *  This library 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.
 *
 *  This library 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 this library; if not, write to the Free Software
 *  Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 *
 *  concept and filter values by David Robinson (David@Robinson.org)
 *    -- blame him if you think the idea is flawed
 *  original coding by Glen Sawyer (mp3gain@hotmail.com)
 *    -- blame him if you think this runs too slowly, or the coding is otherwise flawed
 *
 *  lots of code improvements by Frank Klemm ( http://www.uni-jena.de/~pfk/mpp/ )
 *    -- credit him for all the _good_ programming ;)
 *
 *
 *  For an explanation of the concepts and the basic algorithms involved, go to:
 *    http://www.replaygain.org/
 */

/*
 *  Here's the deal. Call
 *
 *    InitGainAnalysis ( long samplefreq );
 *
 *  to initialize everything. Call
 *
 *    AnalyzeSamples ( const Float_t*  left_samples,
 *                     const Float_t*  right_samples,
 *                     size_t          num_samples,
 *                     int             num_channels );
 *
 *  as many times as you want, with as many or as few samples as you want.
 *  If mono, pass the sample buffer in through left_samples, leave
 *  right_samples NULL, and make sure num_channels = 1.
 *
 *    GetTitleGain()
 *
 *  will return the recommended dB level change for all samples analyzed
 *  SINCE THE LAST TIME you called GetTitleGain() OR InitGainAnalysis().
 *
 *    GetAlbumGain()
 *
 *  will return the recommended dB level change for all samples analyzed
 *  since InitGainAnalysis() was called and finalized with GetTitleGain().
 *
 *  Pseudo-code to process an album:
 *
 *    Float_t       l_samples [4096];
 *    Float_t       r_samples [4096];
 *    size_t        num_samples;
 *    unsigned int  num_songs;
 *    unsigned int  i;
 *
 *    InitGainAnalysis ( 44100 );
 *    for ( i = 1; i <= num_songs; i++ ) {
 *        while ( ( num_samples = getSongSamples ( song[i], left_samples, right_samples ) ) > 0 )
 *            AnalyzeSamples ( left_samples, right_samples, num_samples, 2 );
 *        fprintf ("Recommended dB change for song %2d: %+6.2f dB\n", i, GetTitleGain() );
 *    }
 *    fprintf ("Recommended dB change for whole album: %+6.2f dB\n", GetAlbumGain() );
 */

/*
 *  So here's the main source of potential code confusion:
 *
 *  The filters applied to the incoming samples are IIR filters,
 *  meaning they rely on up to <filter order> number of previous samples
 *  AND up to <filter order> number of previous filtered samples.
 *
 *  I set up the AnalyzeSamples routine to minimize memory usage and interface
 *  complexity. The speed isn't compromised too much (I don't think), but the
 *  internal complexity is higher than it should be for such a relatively
 *  simple routine.
 *
 *  Optimization/clarity suggestions are welcome.
 */

#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>

#include "gain_analysis.h"

typedef unsigned short  Uint16_t;
typedef signed short    Int16_t;
typedef unsigned int    Uint32_t;
typedef signed int      Int32_t;

#define YULE_ORDER         10
#define BUTTER_ORDER        2
#define YULE_FILTER     filterYule
#define BUTTER_FILTER   filterButter
#define RMS_PERCENTILE      0.95        // percentile which is louder than the proposed level
#define MAX_SAMP_FREQ   96000.          // maximum allowed sample frequency [Hz]
#define RMS_WINDOW_TIME     0.050       // Time slice size [s]
#define STEPS_per_dB      100.          // Table entries per dB
#define MAX_dB            120.          // Table entries for 0...MAX_dB (normal max. values are 70...80 dB)

#define MAX_ORDER               (BUTTER_ORDER > YULE_ORDER ? BUTTER_ORDER : YULE_ORDER)
#define MAX_SAMPLES_PER_WINDOW  (size_t) (MAX_SAMP_FREQ * RMS_WINDOW_TIME + 1)      // max. Samples per Time slice
#define PINK_REF                64.82 //298640883795                              // calibration value

Float_t          linprebuf [MAX_ORDER * 2];
Float_t*         linpre;                                          // left input samples, with pre-buffer
Float_t          lstepbuf  [MAX_SAMPLES_PER_WINDOW + MAX_ORDER];
Float_t*         lstep;                                           // left "first step" (i.e. post first filter) samples
Float_t          loutbuf   [MAX_SAMPLES_PER_WINDOW + MAX_ORDER];
Float_t*         lout;                                            // left "out" (i.e. post second filter) samples
Float_t          rinprebuf [MAX_ORDER * 2];
Float_t*         rinpre;                                          // right input samples ...
Float_t          rstepbuf  [MAX_SAMPLES_PER_WINDOW + MAX_ORDER];
Float_t*         rstep;
Float_t          routbuf   [MAX_SAMPLES_PER_WINDOW + MAX_ORDER];
Float_t*         rout;
long             sampleWindow;                                    // number of samples required to reach number of milliseconds required for RMS window
long             totsamp;
double           lsum;
double           rsum;
int              freqindex;
int              first;
static Uint32_t  A [(size_t)(STEPS_per_dB * MAX_dB)];
static Uint32_t  B [(size_t)(STEPS_per_dB * MAX_dB)];

// for each filter:
// [0] 48 kHz, [1] 44.1 kHz, [2] 32 kHz, [3] 24 kHz, [4] 22050 Hz, [5] 16 kHz, [6] 12 kHz, [7] is 11025 Hz, [8] 8 kHz

#ifdef WIN32
#ifndef __GNUC__
#pragma warning ( disable : 4305 )
#endif
#endif

static const Float_t ABYule[12][2*YULE_ORDER + 1] = {
	{0.006471345933032, -7.22103125152679, -0.02567678242161,  24.7034187975904,   0.049805860704367, -52.6825833623896,  -0.05823001743528,  77.4825736677539,   0.040611847441914, -82.0074753444205,  -0.010912036887501, 63.1566097101925,  -0.00901635868667,  -34.889569769245,    0.012448886238123, 13.2126852760198,  -0.007206683749426, -3.09445623301669,  0.002167156433951, 0.340344741393305, -0.000261819276949},
	{0.015415414474287, -7.19001570087017, -0.07691359399407,  24.4109412087159,   0.196677418516518, -51.6306373580801,  -0.338855114128061, 75.3978476863163,   0.430094579594561, -79.4164552507386,  -0.415015413747894, 61.0373661948115,   0.304942508151101, -33.7446462547014,  -0.166191795926663, 12.8168791146274,   0.063198189938739, -3.01332198541437, -0.015003978694525, 0.223619893831468,  0.001748085184539},
	{0.021776466467053, -5.74819833657784, -0.062376961003801, 16.246507961894,    0.107731165328514, -29.9691822642542,  -0.150994515142316, 40.027597579378,    0.170334807313632, -40.3209196052655,  -0.157984942890531, 30.8542077487718,   0.121639833268721, -17.5965138737281,  -0.074094040816409,  7.10690214103873,  0.031282852041061, -1.82175564515191, -0.00755421235941,  0.223619893831468,  0.00117925454213 },
    {0.03857599435200,  -3.84664617118067, -0.02160367184185,   7.81501653005538, -0.00123395316851,  -11.34170355132042, -0.00009291677959,  13.05504219327545, -0.01655260341619,  -12.28759895145294,  0.02161526843274,   9.48293806319790, -0.02074045215285,   -5.87257861775999,  0.00594298065125,   2.75465861874613,  0.00306428023191,  -0.86984376593551,  0.00012025322027,  0.13919314567432,   0.00288463683916 },
    {0.05418656406430,  -3.47845948550071, -0.02911007808948,   6.36317777566148, -0.00848709379851,   -8.54751527471874, -0.00851165645469,   9.47693607801280, -0.00834990904936,   -8.81498681370155,  0.02245293253339,   6.85401540936998, -0.02596338512915,   -4.39470996079559,  0.01624864962975,   2.19611684890774, -0.00240879051584,  -0.75104302451432,  0.00674613682247,  0.13149317958808,  -0.00187763777362 },
    {0.15457299681924,  -2.37898834973084, -0.09331049056315,   2.84868151156327, -0.06247880153653,   -2.64577170229825,  0.02163541888798,   2.23697657451713, -0.05588393329856,   -1.67148153367602,  0.04781476674921,   1.00595954808547,  0.00222312597743,   -0.45953458054983,  0.03174092540049,   0.16378164858596, -0.01390589421898,  -0.05032077717131,  0.00651420667831,  0.02347897407020,  -0.00881362733839 },
    {0.30296907319327,  -1.61273165137247, -0.22613988682123,   1.07977492259970, -0.08587323730772,   -0.25656257754070,  0.03282930172664,  -0.16276719120440, -0.00915702933434,   -0.22638893773906, -0.02364141202522,   0.39120800788284, -0.00584456039913,   -0.22138138954925,  0.06276101321749,   0.04500235387352, -0.00000828086748,   0.02005851806501,  0.00205861885564,  0.00302439095741,  -0.02950134983287 },
    {0.33642304856132,  -1.49858979367799, -0.25572241425570,   0.87350271418188, -0.11828570177555,    0.12205022308084,  0.11921148675203,  -0.80774944671438, -0.07834489609479,    0.47854794562326, -0.00469977914380,  -0.12453458140019, -0.00589500224440,   -0.04067510197014,  0.05724228140351,   0.08333755284107,  0.00832043980773,  -0.04237348025746, -0.01635381384540,  0.02977207319925,  -0.01760176568150 },
    {0.44915256608450,  -0.62820619233671, -0.14351757464547,   0.29661783706366, -0.22784394429749,   -0.37256372942400, -0.01419140100551,   0.00213767857124,  0.04078262797139,   -0.42029820170918, -0.12398163381748,   0.22199650564824,  0.04097565135648,    0.00613424350682,  0.10478503600251,   0.06747620744683, -0.01863887810927,   0.05784820375801, -0.03193428438915,  0.03222754072173,   0.00541907748707 },
    {0.56619470757641,  -1.04800335126349, -0.75464456939302,   0.29156311971249,  0.16242137742230,   -0.26806001042947,  0.16744243493672,   0.00819999645858, -0.18901604199609,    0.45054734505008,  0.30931782841830,  -0.33032403314006, -0.27562961986224,    0.06739368333110,  0.00647310677246,  -0.04784254229033,  0.08647503780351,   0.01639907836189, -0.03788984554840,  0.01807364323573,  -0.00588215443421 },
    {0.58100494960553,  -0.51035327095184, -0.53174909058578,  -0.31863563325245, -0.14289799034253,   -0.20256413484477,  0.17520704835522,   0.14728154134330,  0.02377945217615,    0.38952639978999,  0.15558449135573,  -0.23313271880868, -0.25344790059353,   -0.05246019024463,  0.01628462406333,  -0.02505961724053,  0.06920467763959,   0.02442357316099, -0.03721611395801,  0.01818801111503,  -0.00749618797172 },
    {0.53648789255105,  -0.25049871956020, -0.42163034350696,  -0.43193942311114, -0.00275953611929,   -0.03424681017675,  0.04267842219415,  -0.04678328784242, -0.10214864179676,    0.26408300200955,  0.14590772289388,   0.15113130533216, -0.02459864859345,   -0.17556493366449, -0.11202315195388,  -0.18823009262115, -0.04060034127000,   0.05477720428674,  0.04788665548180,  0.04704409688120,  -0.02217936801134 }
};

static const Float_t ABButter[12][2*BUTTER_ORDER + 1] = {
	{0.99308203517541, -1.98611621154089, -1.98616407035082,  0.986211929160751, 0.99308203517541 },
	{0.992472550461293,-1.98488843762334, -1.98494510092258,  0.979389350028798, 0.992472550461293},
	{0.989641019334721,-1.97917472731008, -1.97928203866944,  0.979389350028798, 0.989641019334721},
    {0.98621192462708, -1.97223372919527, -1.97242384925416,  0.97261396931306,  0.98621192462708 },
    {0.98500175787242, -1.96977855582618, -1.97000351574484,  0.97022847566350,  0.98500175787242 },
    {0.97938932735214, -1.95835380975398, -1.95877865470428,  0.95920349965459,  0.97938932735214 },
    {0.97531843204928, -1.95002759149878, -1.95063686409857,  0.95124613669835,  0.97531843204928 },
    {0.97316523498161, -1.94561023566527, -1.94633046996323,  0.94705070426118,  0.97316523498161 },
    {0.96454515552826, -1.92783286977036, -1.92909031105652,  0.93034775234268,  0.96454515552826 },
    {0.96009142950541, -1.91858953033784, -1.92018285901082,  0.92177618768381,  0.96009142950541 },
    {0.95856916599601, -1.91542108074780, -1.91713833199203,  0.91885558323625,  0.95856916599601 },
    {0.94597685600279, -1.88903307939452, -1.89195371200558,  0.89487434461664,  0.94597685600279 }
};


#ifdef WIN32
#ifndef __GNUC__
#pragma warning ( default : 4305 )
#endif
#endif

// When calling these filter procedures, make sure that ip[-order] and op[-order] point to real data!

// If your compiler complains that "'operation on 'output' may be undefined", you can
// either ignore the warnings or uncomment the three "y" lines (and comment out the indicated line)

static void
filterYule (const Float_t* input, Float_t* output, size_t nSamples, const Float_t* kernel)
{

    while (nSamples--) {
       *output =  1e-10  /* 1e-10 is a hack to avoid slowdown because of denormals */
         + input [0]  * kernel[0]
         - output[-1] * kernel[1]
         + input [-1] * kernel[2]
         - output[-2] * kernel[3]
         + input [-2] * kernel[4]
         - output[-3] * kernel[5]
         + input [-3] * kernel[6]
         - output[-4] * kernel[7]
         + input [-4] * kernel[8]
         - output[-5] * kernel[9]
         + input [-5] * kernel[10]
         - output[-6] * kernel[11]
         + input [-6] * kernel[12]
         - output[-7] * kernel[13]
         + input [-7] * kernel[14]
         - output[-8] * kernel[15]
         + input [-8] * kernel[16]
         - output[-9] * kernel[17]
         + input [-9] * kernel[18]
         - output[-10]* kernel[19]
         + input [-10]* kernel[20];
        ++output;
        ++input;
    }
}

static void
filterButter (const Float_t* input, Float_t* output, size_t nSamples, const Float_t* kernel)
{   

    while (nSamples--) {
        *output =  
           input [0]  * kernel[0]
         - output[-1] * kernel[1]
         + input [-1] * kernel[2]
         - output[-2] * kernel[3]
         + input [-2] * kernel[4];
        ++output;
        ++input;
    }
}


// returns a INIT_GAIN_ANALYSIS_OK if successful, INIT_GAIN_ANALYSIS_ERROR if not

int
ResetSampleFrequency ( long samplefreq ) {
    int  i;

    // zero out initial values
    for ( i = 0; i < MAX_ORDER; i++ )
        linprebuf[i] = lstepbuf[i] = loutbuf[i] = rinprebuf[i] = rstepbuf[i] = routbuf[i] = 0.;

    switch ( (int)(samplefreq) ) {
        case 96000: freqindex = 0; break;
        case 88200: freqindex = 1; break;
        case 64000: freqindex = 2; break;
        case 48000: freqindex = 3; break;
        case 44100: freqindex = 4; break;
        case 32000: freqindex = 5; break;
        case 24000: freqindex = 6; break;
        case 22050: freqindex = 7; break;
        case 16000: freqindex = 8; break;
        case 12000: freqindex = 9; break;
        case 11025: freqindex = 10; break;
        case  8000: freqindex = 11; break;
        default:    return INIT_GAIN_ANALYSIS_ERROR;
    }

    sampleWindow = (int) ceil (samplefreq * RMS_WINDOW_TIME);

    lsum         = 0.;
    rsum         = 0.;
    totsamp      = 0;

    memset ( A, 0, sizeof(A) );

    return INIT_GAIN_ANALYSIS_OK;
}

int
InitGainAnalysis ( long samplefreq )
{
    if (ResetSampleFrequency(samplefreq) != INIT_GAIN_ANALYSIS_OK) {
        return INIT_GAIN_ANALYSIS_ERROR;
    }

    linpre       = linprebuf + MAX_ORDER;
    rinpre       = rinprebuf + MAX_ORDER;
    lstep        = lstepbuf  + MAX_ORDER;
    rstep        = rstepbuf  + MAX_ORDER;
    lout         = loutbuf   + MAX_ORDER;
    rout         = routbuf   + MAX_ORDER;

    memset ( B, 0, sizeof(B) );

    return INIT_GAIN_ANALYSIS_OK;
}

// returns GAIN_ANALYSIS_OK if successful, GAIN_ANALYSIS_ERROR if not

static __inline double fsqr(const double d)
{  return d*d;
}

int
AnalyzeSamples ( const Float_t* left_samples, const Float_t* right_samples, size_t num_samples, int num_channels )
{
    const Float_t*  curleft;
    const Float_t*  curright;
    long            batchsamples;
    long            cursamples;
    long            cursamplepos;
    int             i;

    if ( num_samples == 0 )
        return GAIN_ANALYSIS_OK;

    cursamplepos = 0;
    batchsamples = (long)num_samples;

    switch ( num_channels) {
    case  1: right_samples = left_samples;
    case  2: break;
    default: return GAIN_ANALYSIS_ERROR;
    }

    if ( num_samples < MAX_ORDER ) {
        memcpy ( linprebuf + MAX_ORDER, left_samples , num_samples * sizeof(Float_t) );
        memcpy ( rinprebuf + MAX_ORDER, right_samples, num_samples * sizeof(Float_t) );
    }
    else {
        memcpy ( linprebuf + MAX_ORDER, left_samples,  MAX_ORDER   * sizeof(Float_t) );
        memcpy ( rinprebuf + MAX_ORDER, right_samples, MAX_ORDER   * sizeof(Float_t) );
    }

    while ( batchsamples > 0 ) {
        cursamples = batchsamples > sampleWindow-totsamp  ?  sampleWindow - totsamp  :  batchsamples;
        if ( cursamplepos < MAX_ORDER ) {
            curleft  = linpre+cursamplepos;
            curright = rinpre+cursamplepos;
            if (cursamples > MAX_ORDER - cursamplepos )
                cursamples = MAX_ORDER - cursamplepos;
        }
        else {
            curleft  = left_samples  + cursamplepos;
            curright = right_samples + cursamplepos;
        }

        YULE_FILTER ( curleft , lstep + totsamp, cursamples, ABYule[freqindex]);
        YULE_FILTER ( curright, rstep + totsamp, cursamples, ABYule[freqindex]);

        BUTTER_FILTER ( lstep + totsamp, lout + totsamp, cursamples, ABButter[freqindex]);
        BUTTER_FILTER ( rstep + totsamp, rout + totsamp, cursamples, ABButter[freqindex]);

        curleft = lout + totsamp;                   // Get the squared values
        curright = rout + totsamp;

        i = cursamples % 16;
        while (i--)
        {   lsum += fsqr(*curleft++);
            rsum += fsqr(*curright++);
        }
        i = cursamples / 16;
        while (i--)
        {   lsum += fsqr(curleft[0])
                  + fsqr(curleft[1])
                  + fsqr(curleft[2])
                  + fsqr(curleft[3])
                  + fsqr(curleft[4])
                  + fsqr(curleft[5])
                  + fsqr(curleft[6])
                  + fsqr(curleft[7])
                  + fsqr(curleft[8])
                  + fsqr(curleft[9])
                  + fsqr(curleft[10])
                  + fsqr(curleft[11])
                  + fsqr(curleft[12])
                  + fsqr(curleft[13])
                  + fsqr(curleft[14])
                  + fsqr(curleft[15]);
            curleft += 16;
            rsum += fsqr(curright[0])
                  + fsqr(curright[1])
                  + fsqr(curright[2])
                  + fsqr(curright[3])
                  + fsqr(curright[4])
                  + fsqr(curright[5])
                  + fsqr(curright[6])
                  + fsqr(curright[7])
                  + fsqr(curright[8])
                  + fsqr(curright[9])
                  + fsqr(curright[10])
                  + fsqr(curright[11])
                  + fsqr(curright[12])
                  + fsqr(curright[13])
                  + fsqr(curright[14])
                  + fsqr(curright[15]);
            curright += 16;
        }

        batchsamples -= cursamples;
        cursamplepos += cursamples;
        totsamp      += cursamples;
        if ( totsamp == sampleWindow ) {  // Get the Root Mean Square (RMS) for this set of samples
            double  val  = STEPS_per_dB * 10. * log10 ( (lsum+rsum) / totsamp * 0.5 + 1.e-37 );
            int     ival = (int) val;
            if ( ival <                     0 ) ival = 0;
            if ( ival >= (int)(sizeof(A)/sizeof(*A)) ) ival = sizeof(A)/sizeof(*A) - 1;
            A [ival]++;
            lsum = rsum = 0.;
            memmove ( loutbuf , loutbuf  + totsamp, MAX_ORDER * sizeof(Float_t) );
            memmove ( routbuf , routbuf  + totsamp, MAX_ORDER * sizeof(Float_t) );
            memmove ( lstepbuf, lstepbuf + totsamp, MAX_ORDER * sizeof(Float_t) );
            memmove ( rstepbuf, rstepbuf + totsamp, MAX_ORDER * sizeof(Float_t) );
            totsamp = 0;
        }
        if ( totsamp > sampleWindow )   // somehow I really screwed up: Error in programming! Contact author about totsamp > sampleWindow
            return GAIN_ANALYSIS_ERROR;
    }
    if ( num_samples < MAX_ORDER ) {
        memmove ( linprebuf,                           linprebuf + num_samples, (MAX_ORDER-num_samples) * sizeof(Float_t) );
        memmove ( rinprebuf,                           rinprebuf + num_samples, (MAX_ORDER-num_samples) * sizeof(Float_t) );
        memcpy  ( linprebuf + MAX_ORDER - num_samples, left_samples,          num_samples             * sizeof(Float_t) );
        memcpy  ( rinprebuf + MAX_ORDER - num_samples, right_samples,         num_samples             * sizeof(Float_t) );
    }
    else {
        memcpy  ( linprebuf, left_samples  + num_samples - MAX_ORDER, MAX_ORDER * sizeof(Float_t) );
        memcpy  ( rinprebuf, right_samples + num_samples - MAX_ORDER, MAX_ORDER * sizeof(Float_t) );
    }

    return GAIN_ANALYSIS_OK;
}


static Float_t
analyzeResult ( Uint32_t* Array, size_t len )
{
    Uint32_t  elems;
    Int32_t   upper;
    size_t    i;

    elems = 0;
    for ( i = 0; i < len; i++ )
        elems += Array[i];
    if ( elems == 0 )
        return GAIN_NOT_ENOUGH_SAMPLES;

    upper = (Int32_t) ceil (elems * (1. - RMS_PERCENTILE));
    for ( i = len; i-- > 0; ) {
        if ( (upper -= Array[i]) <= 0 )
            break;
    }

    return (Float_t) ((Float_t)PINK_REF - (Float_t)i / (Float_t)STEPS_per_dB);
}


Float_t
GetTitleGain ( void )
{
    Float_t  retval;
    int    i;

    retval = analyzeResult ( A, sizeof(A)/sizeof(*A) );

    for ( i = 0; i < (int)(sizeof(A)/sizeof(*A)); i++ ) {
        B[i] += A[i];
        A[i]  = 0;
    }

    for ( i = 0; i < MAX_ORDER; i++ )
        linprebuf[i] = lstepbuf[i] = loutbuf[i] = rinprebuf[i] = rstepbuf[i] = routbuf[i] = 0.f;

    totsamp = 0;
    lsum    = rsum = 0.;
    return retval;
}


Float_t
GetAlbumGain ( void )
{
    return analyzeResult ( B, sizeof(B)/sizeof(*B) );
}

/* end of gain_analysis.c */
