595 lines
19 KiB
Haxe
595 lines
19 KiB
Haxe
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package kha.audio2.ogg.vorbis.data;
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import haxe.ds.Vector;
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import haxe.io.Bytes;
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import haxe.io.Input;
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import kha.audio2.ogg.tools.MathTools;
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import kha.audio2.ogg.vorbis.data.ReaderError.ReaderErrorType;
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import kha.audio2.ogg.vorbis.VorbisDecodeState;
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/**
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* ...
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* @author shohei909
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*/
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class Codebook
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{
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static public inline var NO_CODE = 255;
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public var dimensions:Int;
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public var entries:Int;
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public var codewordLengths:Vector<Int>; //uint8*
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public var minimumValue:Float;
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public var deltaValue:Float;
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public var valueBits:Int; //uint8
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public var lookupType:Int; //uint8
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public var sequenceP:Bool; //uint8
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public var sparse:Bool; //uint8
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public var lookupValues:UInt; //uint32
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public var multiplicands:Vector<Float>; // codetype *
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public var codewords:Vector<UInt>; //uint32*
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public var fastHuffman:Vector<Int>; //[FAST_HUFFMAN_TABLE_SIZE];
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public var sortedCodewords:Array<UInt>; //uint32*
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public var sortedValues:Vector<Int>;
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public var sortedEntries:Int;
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public function new () {
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}
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static public function read(decodeState:VorbisDecodeState):Codebook {
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var c = new Codebook();
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if (decodeState.readBits(8) != 0x42 || decodeState.readBits(8) != 0x43 || decodeState.readBits(8) != 0x56) {
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throw new ReaderError(ReaderErrorType.INVALID_SETUP);
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}
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var x = decodeState.readBits(8);
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c.dimensions = (decodeState.readBits(8) << 8) + x;
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var x = decodeState.readBits(8);
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var y = decodeState.readBits(8);
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c.entries = (decodeState.readBits(8) << 16) + (y << 8) + x;
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var ordered = decodeState.readBits(1);
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c.sparse = (ordered != 0) ? false : (decodeState.readBits(1) != 0);
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var lengths = new Vector(c.entries);
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if (!c.sparse) {
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c.codewordLengths = lengths;
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}
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var total = 0;
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if (ordered != 0) {
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var currentEntry = 0;
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var currentLength = decodeState.readBits(5) + 1;
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while (currentEntry < c.entries) {
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var limit = c.entries - currentEntry;
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var n = decodeState.readBits(MathTools.ilog(limit));
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if (currentEntry + n > c.entries) {
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throw new ReaderError(ReaderErrorType.INVALID_SETUP, "codebook entrys");
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}
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for (i in 0...n) {
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lengths.set(currentEntry + i, currentLength);
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}
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currentEntry += n;
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currentLength++;
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}
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} else {
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for (j in 0...c.entries) {
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var present = (c.sparse) ? decodeState.readBits(1) : 1;
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if (present != 0) {
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lengths.set(j, decodeState.readBits(5) + 1);
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total++;
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} else {
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lengths.set(j, NO_CODE);
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}
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}
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}
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if (c.sparse && total >= (c.entries >> 2)) {
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c.codewordLengths = lengths;
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c.sparse = false;
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}
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c.sortedEntries = if (c.sparse) {
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total;
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} else {
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var sortedCount = 0;
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for (j in 0...c.entries) {
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var l = lengths.get(j);
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if (l > Setting.FAST_HUFFMAN_LENGTH && l != NO_CODE) {
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++sortedCount;
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}
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}
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sortedCount;
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}
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var values:Vector<UInt> = null;
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if (!c.sparse) {
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c.codewords = new Vector<UInt>(c.entries);
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} else {
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if (c.sortedEntries != 0) {
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c.codewordLengths = new Vector(c.sortedEntries);
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c.codewords = new Vector<UInt>(c.entries);
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values = new Vector<UInt>(c.entries);
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}
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var size:Int = c.entries + (32 + 32) * c.sortedEntries;
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}
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if (!c.computeCodewords(lengths, c.entries, values)) {
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throw new ReaderError(ReaderErrorType.INVALID_SETUP, "compute codewords");
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}
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if (c.sortedEntries != 0) {
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// allocate an extra slot for sentinels
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c.sortedCodewords = [];
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// allocate an extra slot at the front so that sortedValues[-1] is defined
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// so that we can catch that case without an extra if
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c.sortedValues = new Vector<Int>(c.sortedEntries);
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c.computeSortedHuffman(lengths, values);
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}
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if (c.sparse) {
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values = null;
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c.codewords = null;
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lengths = null;
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}
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c.computeAcceleratedHuffman();
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c.lookupType = decodeState.readBits(4);
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if (c.lookupType > 2) {
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throw new ReaderError(ReaderErrorType.INVALID_SETUP, "codebook lookup type");
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}
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if (c.lookupType > 0) {
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c.minimumValue = VorbisTools.floatUnpack(decodeState.readBits(32));
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c.deltaValue = VorbisTools.floatUnpack(decodeState.readBits(32));
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c.valueBits = decodeState.readBits(4) + 1;
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c.sequenceP = (decodeState.readBits(1) != 0);
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if (c.lookupType == 1) {
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c.lookupValues = VorbisTools.lookup1Values(c.entries, c.dimensions);
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} else {
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c.lookupValues = c.entries * c.dimensions;
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}
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var mults = new Vector<Int>(c.lookupValues);
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for (j in 0...c.lookupValues) {
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var q = decodeState.readBits(c.valueBits);
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if (q == VorbisTools.EOP) {
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throw new ReaderError(ReaderErrorType.INVALID_SETUP, "fail lookup");
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}
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mults[j] = q;
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}
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{
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c.multiplicands = new Vector(c.lookupValues);
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//STB_VORBIS_CODEBOOK_FLOATS = true
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for (j in 0...c.lookupValues) {
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c.multiplicands[j] = mults[j] * c.deltaValue + c.minimumValue;
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}
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}
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//STB_VORBIS_CODEBOOK_FLOATS = true
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if (c.lookupType == 2 && c.sequenceP) {
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for (j in 1...c.lookupValues) {
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c.multiplicands[j] = c.multiplicands[j - 1];
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}
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c.sequenceP = false;
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}
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}
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return c;
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}
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inline function addEntry(huffCode:UInt, symbol:Int, count:Int, len:Int, values:Vector<UInt>)
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{
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if (!sparse) {
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codewords[symbol] = huffCode;
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} else {
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codewords[count] = huffCode;
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codewordLengths.set(count, len);
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values[count] = symbol;
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}
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}
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inline function includeInSort(len:Int)
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{
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return if (sparse) {
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VorbisTools.assert(len != NO_CODE);
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true;
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} else if (len == NO_CODE) {
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false;
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} else if (len > Setting.FAST_HUFFMAN_LENGTH) {
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true;
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} else {
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false;
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}
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}
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function computeCodewords(len:Vector<Int>, n:Int, values:Vector<UInt>)
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{
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var available = new Vector<UInt>(32);
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for (x in 0...32) available[x] = 0;
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// find the first entry
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var k = 0;
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while (k < n) {
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if (len.get(k) < NO_CODE) {
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break;
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}
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k++;
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}
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if (k == n) {
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VorbisTools.assert(sortedEntries == 0);
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return true;
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}
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var m = 0;
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// add to the list
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addEntry(0, k, m++, len.get(k), values);
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// add all available leaves
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var i = 0;
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while (++i <= len.get(k)) {
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available[i] = (1:UInt) << ((32 - i):UInt);
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}
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// note that the above code treats the first case specially,
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// but it's really the same as the following code, so they
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// could probably be combined (except the initial code is 0,
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// and I use 0 in available[] to mean 'empty')
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i = k;
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while (++i < n) {
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var z = len.get(i);
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if (z == NO_CODE) continue;
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// find lowest available leaf (should always be earliest,
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// which is what the specification calls for)
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// note that this property, and the fact we can never have
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// more than one free leaf at a given level, isn't totally
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// trivial to prove, but it seems true and the assert never
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// fires, so!
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while (z > 0 && available[z] == 0) --z;
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if (z == 0) {
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return false;
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}
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var res:UInt = available[z];
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available[z] = 0;
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addEntry(VorbisTools.bitReverse(res), i, m++, len.get(i), values);
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// propogate availability up the tree
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if (z != len.get(i)) {
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var y = len.get(i);
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while (y > z) {
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VorbisTools.assert(available[y] == 0);
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available[y] = res + (1 << (32 - y));
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y--;
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}
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}
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}
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return true;
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}
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function computeSortedHuffman(lengths:Vector<Int>, values:Vector<UInt>)
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{
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// build a list of all the entries
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// OPTIMIZATION: don't include the short ones, since they'll be caught by FAST_HUFFMAN.
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// this is kind of a frivolous optimization--I don't see any performance improvement,
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// but it's like 4 extra lines of code, so.
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if (!sparse) {
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var k = 0;
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for (i in 0...entries) {
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if (includeInSort(lengths.get(i))) {
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sortedCodewords[k++] = VorbisTools.bitReverse(codewords[i]);
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}
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}
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VorbisTools.assert(k == sortedEntries);
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} else {
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for (i in 0...sortedEntries) {
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sortedCodewords[i] = VorbisTools.bitReverse(codewords[i]);
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}
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}
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sortedCodewords[sortedEntries] = 0xffffffff;
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sortedCodewords.sort(VorbisTools.uintAsc);
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var len = sparse ? sortedEntries : entries;
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// now we need to indicate how they correspond; we could either
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// #1: sort a different data structure that says who they correspond to
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// #2: for each sorted entry, search the original list to find who corresponds
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// #3: for each original entry, find the sorted entry
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// #1 requires extra storage, #2 is slow, #3 can use binary search!
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for (i in 0...len) {
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var huffLen = sparse ? lengths.get(values[i]) : lengths.get(i);
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if (includeInSort(huffLen)) {
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var code = VorbisTools.bitReverse(codewords[i]);
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var x = 0;
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var n = sortedEntries;
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while (n > 1) {
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// invariant: sc[x] <= code < sc[x+n]
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var m = x + (n >> 1);
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if (sortedCodewords[m] <= code) {
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x = m;
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n -= (n>>1);
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} else {
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n >>= 1;
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}
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}
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//VorbisTools.assert(sortedCodewords[x] == code);
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if (sparse) {
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sortedValues[x] = values[i];
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codewordLengths.set(x, huffLen);
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} else {
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sortedValues[x] = i;
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}
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}
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}
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}
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function computeAcceleratedHuffman()
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{
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fastHuffman = new Vector(Setting.FAST_HUFFMAN_TABLE_SIZE);
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fastHuffman[0] = -1;
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for (i in 0...(Setting.FAST_HUFFMAN_TABLE_SIZE)) {
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fastHuffman[i] = -1;
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}
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var len = (sparse) ? sortedEntries : entries;
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//STB_VORBIS_FAST_HUFFMAN_SHORT
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//if (len > 32767) len = 32767; // largest possible value we can encode!
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for (i in 0...len) {
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if (codewordLengths[i] <= Setting.FAST_HUFFMAN_LENGTH) {
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var z:Int = (sparse) ? VorbisTools.bitReverse(sortedCodewords[i]) : codewords[i];
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// set table entries for all bit combinations in the higher bits
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while (z < Setting.FAST_HUFFMAN_TABLE_SIZE) {
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fastHuffman[z] = i;
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z += 1 << codewordLengths[i];
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}
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}
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}
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}
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function codebookDecode(decodeState:VorbisDecodeState, output:Vector<Float>, offset:Int, len:Int)
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{
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var z = decodeStart(decodeState);
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var lookupValues = this.lookupValues;
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var sequenceP = this.sequenceP;
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var multiplicands = this.multiplicands;
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var minimumValue = this.minimumValue;
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if (z < 0) {
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return false;
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}
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if (len > dimensions) {
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|
len = dimensions;
|
||
|
|
}
|
||
|
|
|
||
|
|
// STB_VORBIS_DIVIDES_IN_CODEBOOK = true
|
||
|
|
if (lookupType == 1) {
|
||
|
|
var div = 1;
|
||
|
|
var last = 0.0;
|
||
|
|
for (i in 0...len) {
|
||
|
|
var off = Std.int(z / div) % lookupValues;
|
||
|
|
var val = multiplicands[off] + last;
|
||
|
|
output[offset + i] += val;
|
||
|
|
if (sequenceP) {
|
||
|
|
last = val + minimumValue;
|
||
|
|
}
|
||
|
|
div *= lookupValues;
|
||
|
|
}
|
||
|
|
return true;
|
||
|
|
}
|
||
|
|
|
||
|
|
z *= dimensions;
|
||
|
|
if (sequenceP) {
|
||
|
|
var last = 0.0;
|
||
|
|
for (i in 0...len) {
|
||
|
|
var val = multiplicands[z + i] + last;
|
||
|
|
output[offset + i] += val;
|
||
|
|
last = val + minimumValue;
|
||
|
|
}
|
||
|
|
} else {
|
||
|
|
var last = 0.0;
|
||
|
|
for (i in 0...len) {
|
||
|
|
output[offset + i] += multiplicands[z + i] + last;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
return true;
|
||
|
|
}
|
||
|
|
|
||
|
|
function codebookDecodeStep(decodeState:VorbisDecodeState, output:Vector<Float>, offset:Int, len:Int, step:Int)
|
||
|
|
{
|
||
|
|
var z = decodeStart(decodeState);
|
||
|
|
var last = 0.0;
|
||
|
|
if (z < 0) {
|
||
|
|
return false;
|
||
|
|
}
|
||
|
|
if (len > dimensions) {
|
||
|
|
len = dimensions;
|
||
|
|
}
|
||
|
|
|
||
|
|
var lookupValues = this.lookupValues;
|
||
|
|
var sequenceP = this.sequenceP;
|
||
|
|
var multiplicands = this.multiplicands;
|
||
|
|
|
||
|
|
// STB_VORBIS_DIVIDES_IN_CODEBOOK = true
|
||
|
|
|
||
|
|
if (lookupType == 1) {
|
||
|
|
var div = 1;
|
||
|
|
for (i in 0...len) {
|
||
|
|
var off = Std.int(z / div) % lookupValues;
|
||
|
|
var val = multiplicands[off] + last;
|
||
|
|
output[offset + i * step] += val;
|
||
|
|
if (sequenceP) {
|
||
|
|
last = val;
|
||
|
|
}
|
||
|
|
div *= lookupValues;
|
||
|
|
}
|
||
|
|
return true;
|
||
|
|
}
|
||
|
|
|
||
|
|
z *= dimensions;
|
||
|
|
for (i in 0...len) {
|
||
|
|
var val = multiplicands[z + i] + last;
|
||
|
|
output[offset + i * step] += val;
|
||
|
|
if (sequenceP) {
|
||
|
|
last = val;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
return true;
|
||
|
|
}
|
||
|
|
|
||
|
|
inline function decodeStart(decodeState:VorbisDecodeState)
|
||
|
|
{
|
||
|
|
return decodeState.decode(this);
|
||
|
|
|
||
|
|
//var z = -1;
|
||
|
|
//// type 0 is only legal in a scalar context
|
||
|
|
//if (lookupType == 0) {
|
||
|
|
// throw new ReaderError(INVALID_STREAM);
|
||
|
|
//} else {
|
||
|
|
// z = decodeState.decode(this);
|
||
|
|
// //if (sparse) VorbisTools.assert(z < sortedEntries);
|
||
|
|
// if (z < 0) { // check for VorbisTools.EOP
|
||
|
|
// if (decodeState.isLastByte()) {
|
||
|
|
// return z;
|
||
|
|
// } else {
|
||
|
|
// throw new ReaderError(INVALID_STREAM);
|
||
|
|
// }
|
||
|
|
// } else {
|
||
|
|
// return z;
|
||
|
|
// }
|
||
|
|
//}
|
||
|
|
}
|
||
|
|
|
||
|
|
static var delay = 0;
|
||
|
|
|
||
|
|
public function decodeDeinterleaveRepeat(decodeState:VorbisDecodeState, residueBuffers:Vector<Vector<Float>>, ch:Int, cInter:Int, pInter:Int, len:Int, totalDecode:Int)
|
||
|
|
{
|
||
|
|
var effective = dimensions;
|
||
|
|
|
||
|
|
// type 0 is only legal in a scalar context
|
||
|
|
if (lookupType == 0) {
|
||
|
|
throw new ReaderError(INVALID_STREAM);
|
||
|
|
}
|
||
|
|
|
||
|
|
var multiplicands = this.multiplicands;
|
||
|
|
var sequenceP = this.sequenceP;
|
||
|
|
var lookupValues = this.lookupValues;
|
||
|
|
|
||
|
|
while (totalDecode > 0) {
|
||
|
|
var last = 0.0;
|
||
|
|
var z = decodeState.decode(this);
|
||
|
|
|
||
|
|
if (z < 0) {
|
||
|
|
if (decodeState.isLastByte()) {
|
||
|
|
return null;
|
||
|
|
}
|
||
|
|
throw new ReaderError(INVALID_STREAM);
|
||
|
|
}
|
||
|
|
|
||
|
|
// if this will take us off the end of the buffers, stop short!
|
||
|
|
// we check by computing the length of the virtual interleaved
|
||
|
|
// buffer (len*ch), our current offset within it (pInter*ch)+(cInter),
|
||
|
|
// and the length we'll be using (effective)
|
||
|
|
if (cInter + pInter * ch + effective > len * ch) {
|
||
|
|
effective = len * ch - (pInter * ch - cInter);
|
||
|
|
}
|
||
|
|
|
||
|
|
if (lookupType == 1) {
|
||
|
|
var div = 1;
|
||
|
|
if (sequenceP) {
|
||
|
|
for (i in 0...effective) {
|
||
|
|
var off = Std.int(z / div) % lookupValues;
|
||
|
|
var val = multiplicands[off] + last;
|
||
|
|
residueBuffers[cInter][pInter] += val;
|
||
|
|
if (++cInter == ch) {
|
||
|
|
cInter = 0;
|
||
|
|
++pInter;
|
||
|
|
}
|
||
|
|
last = val;
|
||
|
|
div *= lookupValues;
|
||
|
|
}
|
||
|
|
} else {
|
||
|
|
for (i in 0...effective) {
|
||
|
|
var off = Std.int(z / div) % lookupValues;
|
||
|
|
var val = multiplicands[off] + last;
|
||
|
|
residueBuffers[cInter][pInter] += val;
|
||
|
|
if (++cInter == ch) {
|
||
|
|
cInter = 0;
|
||
|
|
++pInter;
|
||
|
|
}
|
||
|
|
div *= lookupValues;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
} else {
|
||
|
|
z *= dimensions;
|
||
|
|
if (sequenceP) {
|
||
|
|
for (i in 0...effective) {
|
||
|
|
var val = multiplicands[z + i] + last;
|
||
|
|
residueBuffers[cInter][pInter] += val;
|
||
|
|
if (++cInter == ch) {
|
||
|
|
cInter = 0;
|
||
|
|
++pInter;
|
||
|
|
}
|
||
|
|
last = val;
|
||
|
|
}
|
||
|
|
} else {
|
||
|
|
for (i in 0...effective) {
|
||
|
|
var val = multiplicands[z + i] + last;
|
||
|
|
residueBuffers[cInter][pInter] += val;
|
||
|
|
if (++cInter == ch) {
|
||
|
|
cInter = 0;
|
||
|
|
++pInter;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
totalDecode -= effective;
|
||
|
|
}
|
||
|
|
|
||
|
|
return {
|
||
|
|
cInter : cInter,
|
||
|
|
pInter : pInter
|
||
|
|
}
|
||
|
|
}
|
||
|
|
|
||
|
|
public function residueDecode(decodeState:VorbisDecodeState, target:Vector<Float>, offset:Int, n:Int, rtype:Int)
|
||
|
|
{
|
||
|
|
if (rtype == 0) {
|
||
|
|
var step = Std.int(n / dimensions);
|
||
|
|
for (k in 0...step) {
|
||
|
|
if (!codebookDecodeStep(decodeState, target, offset + k, n-offset-k, step)) {
|
||
|
|
return false;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
} else {
|
||
|
|
var k = 0;
|
||
|
|
while(k < n) {
|
||
|
|
if (!codebookDecode(decodeState, target, offset, n-k)) {
|
||
|
|
return false;
|
||
|
|
}
|
||
|
|
k += dimensions;
|
||
|
|
offset += dimensions;
|
||
|
|
}
|
||
|
|
}
|
||
|
|
return true;
|
||
|
|
}
|
||
|
|
}
|