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522 lines
18 KiB
C
522 lines
18 KiB
C
/********************************************************************
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* *
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* THIS FILE IS PART OF THE OggTheora SOFTWARE CODEC SOURCE CODE. *
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* USE, DISTRIBUTION AND REPRODUCTION OF THIS LIBRARY SOURCE IS *
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* GOVERNED BY A BSD-STYLE SOURCE LICENSE INCLUDED WITH THIS SOURCE *
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* IN 'COPYING'. PLEASE READ THESE TERMS BEFORE DISTRIBUTING. *
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* *
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* THE Theora SOURCE CODE IS COPYRIGHT (C) 2002-2009 *
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* by the Xiph.Org Foundation and contributors http://www.xiph.org/ *
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* *
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********************************************************************
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function:
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last mod: $Id: huffdec.c 17577 2010-10-29 04:00:07Z tterribe $
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********************************************************************/
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#include <stdlib.h>
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#include <string.h>
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#include <ogg/ogg.h>
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#include "huffdec.h"
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#include "decint.h"
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/*Instead of storing every branching in the tree, subtrees can be collapsed
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into one node, with a table of size 1<<nbits pointing directly to its
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descedents nbits levels down.
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This allows more than one bit to be read at a time, and avoids following all
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the intermediate branches with next to no increased code complexity once
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the collapsed tree has been built.
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We do _not_ require that a subtree be complete to be collapsed, but instead
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store duplicate pointers in the table, and record the actual depth of the
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node below its parent.
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This tells us the number of bits to advance the stream after reaching it.
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This turns out to be equivalent to the method described in \cite{Hash95},
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without the requirement that codewords be sorted by length.
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If the codewords were sorted by length (so-called ``canonical-codes''), they
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could be decoded much faster via either Lindell and Moffat's approach or
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Hashemian's Condensed Huffman Code approach, the latter of which has an
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extremely small memory footprint.
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We can't use Choueka et al.'s finite state machine approach, which is
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extremely fast, because we can't allow multiple symbols to be output at a
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time; the codebook can and does change between symbols.
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It also has very large memory requirements, which impairs cache coherency.
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We store the tree packed in an array of 16-bit integers (words).
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Each node consists of a single word, followed consecutively by two or more
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indices of its children.
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Let n be the value of this first word.
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This is the number of bits that need to be read to traverse the node, and
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must be positive.
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1<<n entries follow in the array, each an index to a child node.
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If the child is positive, then it is the index of another internal node in
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the table.
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If the child is negative or zero, then it is a leaf node.
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These are stored directly in the child pointer to save space, since they only
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require a single word.
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If a leaf node would have been encountered before reading n bits, then it is
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duplicated the necessary number of times in this table.
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Leaf nodes pack both a token value and their actual depth in the tree.
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The token in the leaf node is (-leaf&255).
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The number of bits that need to be consumed to reach the leaf, starting from
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the current node, is (-leaf>>8).
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@ARTICLE{Hash95,
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author="Reza Hashemian",
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title="Memory Efficient and High-Speed Search {Huffman} Coding",
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journal="{IEEE} Transactions on Communications",
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volume=43,
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number=10,
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pages="2576--2581",
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month=Oct,
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year=1995
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}*/
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/*The map from external spec-defined tokens to internal tokens.
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This is constructed so that any extra bits read with the original token value
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can be masked off the least significant bits of its internal token index.
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In addition, all of the tokens which require additional extra bits are placed
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at the start of the list, and grouped by type.
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OC_DCT_REPEAT_RUN3_TOKEN is placed first, as it is an extra-special case, so
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giving it index 0 may simplify comparisons on some architectures.
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These requirements require some substantial reordering.*/
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static const unsigned char OC_DCT_TOKEN_MAP[TH_NDCT_TOKENS]={
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/*OC_DCT_EOB1_TOKEN (0 extra bits)*/
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15,
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/*OC_DCT_EOB2_TOKEN (0 extra bits)*/
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16,
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/*OC_DCT_EOB3_TOKEN (0 extra bits)*/
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17,
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/*OC_DCT_REPEAT_RUN0_TOKEN (2 extra bits)*/
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88,
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/*OC_DCT_REPEAT_RUN1_TOKEN (3 extra bits)*/
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80,
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/*OC_DCT_REPEAT_RUN2_TOKEN (4 extra bits)*/
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1,
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/*OC_DCT_REPEAT_RUN3_TOKEN (12 extra bits)*/
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0,
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/*OC_DCT_SHORT_ZRL_TOKEN (3 extra bits)*/
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48,
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/*OC_DCT_ZRL_TOKEN (6 extra bits)*/
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14,
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/*OC_ONE_TOKEN (0 extra bits)*/
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56,
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/*OC_MINUS_ONE_TOKEN (0 extra bits)*/
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57,
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/*OC_TWO_TOKEN (0 extra bits)*/
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58,
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/*OC_MINUS_TWO_TOKEN (0 extra bits)*/
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59,
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/*OC_DCT_VAL_CAT2 (1 extra bit)*/
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60,
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62,
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64,
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66,
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/*OC_DCT_VAL_CAT3 (2 extra bits)*/
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68,
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/*OC_DCT_VAL_CAT4 (3 extra bits)*/
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72,
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/*OC_DCT_VAL_CAT5 (4 extra bits)*/
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2,
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/*OC_DCT_VAL_CAT6 (5 extra bits)*/
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4,
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/*OC_DCT_VAL_CAT7 (6 extra bits)*/
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6,
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/*OC_DCT_VAL_CAT8 (10 extra bits)*/
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8,
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/*OC_DCT_RUN_CAT1A (1 extra bit)*/
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18,
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20,
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22,
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24,
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26,
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/*OC_DCT_RUN_CAT1B (3 extra bits)*/
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32,
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/*OC_DCT_RUN_CAT1C (4 extra bits)*/
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12,
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/*OC_DCT_RUN_CAT2A (2 extra bits)*/
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28,
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/*OC_DCT_RUN_CAT2B (3 extra bits)*/
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40
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};
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/*The log base 2 of number of internal tokens associated with each of the spec
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tokens (i.e., how many of the extra bits are folded into the token value).
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Increasing the maximum value beyond 3 will enlarge the amount of stack
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required for tree construction.*/
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static const unsigned char OC_DCT_TOKEN_MAP_LOG_NENTRIES[TH_NDCT_TOKENS]={
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0,0,0,2,3,0,0,3,0,0,0,0,0,1,1,1,1,2,3,1,1,1,2,1,1,1,1,1,3,1,2,3
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};
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/*The size a lookup table is allowed to grow to relative to the number of
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unique nodes it contains.
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E.g., if OC_HUFF_SLUSH is 4, then at most 75% of the space in the tree is
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wasted (1/4 of the space must be used).
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Larger numbers can decode tokens with fewer read operations, while smaller
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numbers may save more space.
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With a sample file:
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32233473 read calls are required when no tree collapsing is done (100.0%).
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19269269 read calls are required when OC_HUFF_SLUSH is 1 (59.8%).
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11144969 read calls are required when OC_HUFF_SLUSH is 2 (34.6%).
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10538563 read calls are required when OC_HUFF_SLUSH is 4 (32.7%).
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10192578 read calls are required when OC_HUFF_SLUSH is 8 (31.6%).
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Since a value of 2 gets us the vast majority of the speed-up with only a
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small amount of wasted memory, this is what we use.
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This value must be less than 128, or you could create a tree with more than
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32767 entries, which would overflow the 16-bit words used to index it.*/
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#define OC_HUFF_SLUSH (2)
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/*The root of the tree is on the fast path, and a larger value here is more
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beneficial than elsewhere in the tree.
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7 appears to give the best performance, trading off between increased use of
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the single-read fast path and cache footprint for the tables, though
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obviously this will depend on your cache size.
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Using 7 here, the VP3 tables are about twice as large compared to using 2.*/
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#define OC_ROOT_HUFF_SLUSH (7)
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/*Unpacks a Huffman codebook.
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_opb: The buffer to unpack from.
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_tokens: Stores a list of internal tokens, in the order they were found in
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the codebook, and the lengths of their corresponding codewords.
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This is enough to completely define the codebook, while minimizing
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stack usage and avoiding temporary allocations (for platforms
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where free() is a no-op).
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Return: The number of internal tokens in the codebook, or a negative value
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on error.*/
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int oc_huff_tree_unpack(oc_pack_buf *_opb,unsigned char _tokens[256][2]){
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ogg_uint32_t code;
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int len;
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int ntokens;
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int nleaves;
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code=0;
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len=ntokens=nleaves=0;
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for(;;){
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long bits;
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bits=oc_pack_read1(_opb);
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/*Only process nodes so long as there's more bits in the buffer.*/
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if(oc_pack_bytes_left(_opb)<0)return TH_EBADHEADER;
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/*Read an internal node:*/
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if(!bits){
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len++;
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/*Don't allow codewords longer than 32 bits.*/
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if(len>32)return TH_EBADHEADER;
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}
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/*Read a leaf node:*/
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else{
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ogg_uint32_t code_bit;
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int neb;
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int nentries;
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int token;
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/*Don't allow more than 32 spec-tokens per codebook.*/
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if(++nleaves>32)return TH_EBADHEADER;
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bits=oc_pack_read(_opb,OC_NDCT_TOKEN_BITS);
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neb=OC_DCT_TOKEN_MAP_LOG_NENTRIES[bits];
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token=OC_DCT_TOKEN_MAP[bits];
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nentries=1<<neb;
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while(nentries-->0){
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_tokens[ntokens][0]=(unsigned char)token++;
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_tokens[ntokens][1]=(unsigned char)(len+neb);
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ntokens++;
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}
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code_bit=0x80000000U>>len-1;
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while(len>0&&(code&code_bit)){
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code^=code_bit;
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code_bit<<=1;
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len--;
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}
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if(len<=0)break;
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code|=code_bit;
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}
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}
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return ntokens;
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}
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/*Count how many tokens would be required to fill a subtree at depth _depth.
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_tokens: A list of internal tokens, in the order they are found in the
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codebook, and the lengths of their corresponding codewords.
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_depth: The depth of the desired node in the corresponding tree structure.
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Return: The number of tokens that belong to that subtree.*/
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static int oc_huff_subtree_tokens(unsigned char _tokens[][2],int _depth){
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ogg_uint32_t code;
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int ti;
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code=0;
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ti=0;
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do{
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if(_tokens[ti][1]-_depth<32)code+=0x80000000U>>_tokens[ti++][1]-_depth;
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else{
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/*Because of the expanded internal tokens, we can have codewords as long
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as 35 bits.
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A single recursion here is enough to advance past them.*/
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code++;
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ti+=oc_huff_subtree_tokens(_tokens+ti,_depth+31);
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}
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}
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while(code<0x80000000U);
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return ti;
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}
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/*Compute the number of bits to use for a collapsed tree node at the given
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depth.
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_tokens: A list of internal tokens, in the order they are found in the
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codebook, and the lengths of their corresponding codewords.
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_ntokens: The number of tokens corresponding to this tree node.
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_depth: The depth of this tree node.
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Return: The number of bits to use for a collapsed tree node rooted here.
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This is always at least one, even if this was a leaf node.*/
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static int oc_huff_tree_collapse_depth(unsigned char _tokens[][2],
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int _ntokens,int _depth){
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int got_leaves;
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int loccupancy;
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int occupancy;
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int slush;
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int nbits;
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int best_nbits;
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slush=_depth>0?OC_HUFF_SLUSH:OC_ROOT_HUFF_SLUSH;
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/*It's legal to have a tree with just a single node, which requires no bits
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to decode and always returns the same token.
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However, no encoder actually does this (yet).
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To avoid a special case in oc_huff_token_decode(), we force the number of
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lookahead bits to be at least one.
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This will produce a tree that looks ahead one bit and then advances the
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stream zero bits.*/
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nbits=1;
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occupancy=2;
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got_leaves=1;
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do{
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int ti;
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if(got_leaves)best_nbits=nbits;
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nbits++;
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got_leaves=0;
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loccupancy=occupancy;
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for(occupancy=ti=0;ti<_ntokens;occupancy++){
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if(_tokens[ti][1]<_depth+nbits)ti++;
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else if(_tokens[ti][1]==_depth+nbits){
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got_leaves=1;
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ti++;
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}
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else ti+=oc_huff_subtree_tokens(_tokens+ti,_depth+nbits);
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}
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}
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while(occupancy>loccupancy&&occupancy*slush>=1<<nbits);
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return best_nbits;
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}
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/*Determines the size in words of a Huffman tree node that represents a
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subtree of depth _nbits.
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_nbits: The depth of the subtree.
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This must be greater than zero.
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Return: The number of words required to store the node.*/
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static size_t oc_huff_node_size(int _nbits){
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return 1+(1<<_nbits);
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}
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/*Produces a collapsed-tree representation of the given token list.
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_tree: The storage for the collapsed Huffman tree.
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This may be NULL to compute the required storage size instead of
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constructing the tree.
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_tokens: A list of internal tokens, in the order they are found in the
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codebook, and the lengths of their corresponding codewords.
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_ntokens: The number of tokens corresponding to this tree node.
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Return: The number of words required to store the tree.*/
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#if defined(_MSC_VER) && _MSC_VER >= 1700
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#pragma optimize( "", off )
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#endif
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static size_t oc_huff_tree_collapse(ogg_int16_t *_tree,
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unsigned char _tokens[][2],int _ntokens){
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ogg_int16_t node[34];
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unsigned char depth[34];
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unsigned char last[34];
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size_t ntree;
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int ti;
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int l;
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depth[0]=0;
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last[0]=(unsigned char)(_ntokens-1);
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ntree=0;
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ti=0;
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l=0;
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do{
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int nbits;
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nbits=oc_huff_tree_collapse_depth(_tokens+ti,last[l]+1-ti,depth[l]);
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node[l]=(ogg_int16_t)ntree;
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ntree+=oc_huff_node_size(nbits);
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if(_tree!=NULL)_tree[node[l]++]=(ogg_int16_t)nbits;
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do{
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while(ti<=last[l]&&_tokens[ti][1]<=depth[l]+nbits){
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if(_tree!=NULL){
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ogg_int16_t leaf;
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int nentries;
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nentries=1<<depth[l]+nbits-_tokens[ti][1];
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leaf=(ogg_int16_t)-(_tokens[ti][1]-depth[l]<<8|_tokens[ti][0]);
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while(nentries-->0)_tree[node[l]++]=leaf;
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}
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ti++;
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}
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if(ti<=last[l]){
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/*We need to recurse*/
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depth[l+1]=(unsigned char)(depth[l]+nbits);
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if(_tree!=NULL)_tree[node[l]++]=(ogg_int16_t)ntree;
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l++;
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last[l]=
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(unsigned char)(ti+oc_huff_subtree_tokens(_tokens+ti,depth[l])-1);
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break;
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}
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/*Pop back up a level of recursion.*/
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else if(l-->0)nbits=depth[l+1]-depth[l];
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}
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while(l>=0);
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}
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while(l>=0);
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return ntree;
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}
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#if defined(_MSC_VER) && _MSC_VER >= 1700
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#pragma optimize( "", on )
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#endif
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/*Unpacks a set of Huffman trees, and reduces them to a collapsed
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representation.
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_opb: The buffer to unpack the trees from.
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_nodes: The table to fill with the Huffman trees.
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Return: 0 on success, or a negative value on error.
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The caller is responsible for cleaning up any partially initialized
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_nodes on failure.*/
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int oc_huff_trees_unpack(oc_pack_buf *_opb,
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ogg_int16_t *_nodes[TH_NHUFFMAN_TABLES]){
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int i;
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for(i=0;i<TH_NHUFFMAN_TABLES;i++){
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unsigned char tokens[256][2];
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int ntokens;
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ogg_int16_t *tree;
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size_t size;
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/*Unpack the full tree into a temporary buffer.*/
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ntokens=oc_huff_tree_unpack(_opb,tokens);
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if(ntokens<0)return ntokens;
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/*Figure out how big the collapsed tree will be and allocate space for it.*/
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size=oc_huff_tree_collapse(NULL,tokens,ntokens);
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/*This should never happen; if it does it means you set OC_HUFF_SLUSH or
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OC_ROOT_HUFF_SLUSH too large.*/
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if(size>32767)return TH_EIMPL;
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tree=(ogg_int16_t *)_ogg_malloc(size*sizeof(*tree));
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if(tree==NULL)return TH_EFAULT;
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/*Construct the collapsed the tree.*/
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oc_huff_tree_collapse(tree,tokens,ntokens);
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_nodes[i]=tree;
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}
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return 0;
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}
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/*Determines the size in words of a Huffman subtree.
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_tree: The complete Huffman tree.
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_node: The index of the root of the desired subtree.
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Return: The number of words required to store the tree.*/
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static size_t oc_huff_tree_size(const ogg_int16_t *_tree,int _node){
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size_t size;
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int nchildren;
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int n;
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int i;
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n=_tree[_node];
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size=oc_huff_node_size(n);
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nchildren=1<<n;
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i=0;
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do{
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int child;
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child=_tree[_node+i+1];
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if(child<=0)i+=1<<n-(-child>>8);
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else{
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size+=oc_huff_tree_size(_tree,child);
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i++;
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}
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}
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while(i<nchildren);
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return size;
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}
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/*Makes a copy of the given set of Huffman trees.
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_dst: The array to store the copy in.
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_src: The array of trees to copy.*/
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int oc_huff_trees_copy(ogg_int16_t *_dst[TH_NHUFFMAN_TABLES],
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const ogg_int16_t *const _src[TH_NHUFFMAN_TABLES]){
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int total;
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int i;
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total=0;
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for(i=0;i<TH_NHUFFMAN_TABLES;i++){
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size_t size;
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size=oc_huff_tree_size(_src[i],0);
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total+=size;
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_dst[i]=(ogg_int16_t *)_ogg_malloc(size*sizeof(*_dst[i]));
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if(_dst[i]==NULL){
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while(i-->0)_ogg_free(_dst[i]);
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return TH_EFAULT;
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}
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memcpy(_dst[i],_src[i],size*sizeof(*_dst[i]));
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
/*Frees the memory used by a set of Huffman trees.
|
|
_nodes: The array of trees to free.*/
|
|
void oc_huff_trees_clear(ogg_int16_t *_nodes[TH_NHUFFMAN_TABLES]){
|
|
int i;
|
|
for(i=0;i<TH_NHUFFMAN_TABLES;i++)_ogg_free(_nodes[i]);
|
|
}
|
|
|
|
|
|
/*Unpacks a single token using the given Huffman tree.
|
|
_opb: The buffer to unpack the token from.
|
|
_node: The tree to unpack the token with.
|
|
Return: The token value.*/
|
|
int oc_huff_token_decode_c(oc_pack_buf *_opb,const ogg_int16_t *_tree){
|
|
const unsigned char *ptr;
|
|
const unsigned char *stop;
|
|
oc_pb_window window;
|
|
int available;
|
|
long bits;
|
|
int node;
|
|
int n;
|
|
ptr=_opb->ptr;
|
|
window=_opb->window;
|
|
stop=_opb->stop;
|
|
available=_opb->bits;
|
|
node=0;
|
|
for(;;){
|
|
n=_tree[node];
|
|
if(n>available){
|
|
unsigned shift;
|
|
shift=OC_PB_WINDOW_SIZE-available;
|
|
do{
|
|
/*We don't bother setting eof because we won't check for it after we've
|
|
started decoding DCT tokens.*/
|
|
if(ptr>=stop){
|
|
shift=(unsigned)-OC_LOTS_OF_BITS;
|
|
break;
|
|
}
|
|
shift-=8;
|
|
window|=(oc_pb_window)*ptr++<<shift;
|
|
}
|
|
while(shift>=8);
|
|
/*Note: We never request more than 24 bits, so there's no need to fill in
|
|
the last partial byte here.*/
|
|
available=OC_PB_WINDOW_SIZE-shift;
|
|
}
|
|
bits=window>>OC_PB_WINDOW_SIZE-n;
|
|
node=_tree[node+1+bits];
|
|
if(node<=0)break;
|
|
window<<=n;
|
|
available-=n;
|
|
}
|
|
node=-node;
|
|
n=node>>8;
|
|
window<<=n;
|
|
available-=n;
|
|
_opb->ptr=ptr;
|
|
_opb->window=window;
|
|
_opb->bits=available;
|
|
return node&255;
|
|
}
|