1076 lines
40 KiB
C
1076 lines
40 KiB
C
/* trees.c -- output deflated data using Huffman coding
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* Copyright (C) 1992-1993 Jean-loup Gailly
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* This is free software; you can redistribute it and/or modify it under the
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* terms of the GNU General Public License, see the file COPYING.
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*/
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/*
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* PURPOSE
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*
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* Encode various sets of source values using variable-length
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* binary code trees.
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*
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* DISCUSSION
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*
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* The PKZIP "deflation" process uses several Huffman trees. The more
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* common source values are represented by shorter bit sequences.
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*
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* Each code tree is stored in the ZIP file in a compressed form
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* which is itself a Huffman encoding of the lengths of
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* all the code strings (in ascending order by source values).
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* The actual code strings are reconstructed from the lengths in
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* the UNZIP process, as described in the "application note"
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* (APPNOTE.TXT) distributed as part of PKWARE's PKZIP program.
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*
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* REFERENCES
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*
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* Lynch, Thomas J.
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* Data Compression: Techniques and Applications, pp. 53-55.
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* Lifetime Learning Publications, 1985. ISBN 0-534-03418-7.
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*
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* Storer, James A.
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* Data Compression: Methods and Theory, pp. 49-50.
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* Computer Science Press, 1988. ISBN 0-7167-8156-5.
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*
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* Sedgewick, R.
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* Algorithms, p290.
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* Addison-Wesley, 1983. ISBN 0-201-06672-6.
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*
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* INTERFACE
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*
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* void ct_init (ush *attr, int *methodp)
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* Allocate the match buffer, initialize the various tables and save
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* the location of the internal file attribute (ascii/binary) and
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* method (DEFLATE/STORE)
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*
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* void ct_tally (int dist, int lc);
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* Save the match info and tally the frequency counts.
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*
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* long flush_block (char *buf, ulg stored_len, int eof)
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* Determine the best encoding for the current block: dynamic trees,
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* static trees or store, and output the encoded block to the zip
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* file. Returns the total compressed length for the file so far.
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*
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*/
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#include <ctype.h>
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#include "tailor.h"
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#include "gzip.h"
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#ifdef RCSID
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static char rcsid[] = "$FreeBSD$";
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#endif
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/* ===========================================================================
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* Constants
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*/
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#define MAX_BITS 15
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/* All codes must not exceed MAX_BITS bits */
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#define MAX_BL_BITS 7
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/* Bit length codes must not exceed MAX_BL_BITS bits */
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#define LENGTH_CODES 29
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/* number of length codes, not counting the special END_BLOCK code */
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#define LITERALS 256
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/* number of literal bytes 0..255 */
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#define END_BLOCK 256
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/* end of block literal code */
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#define L_CODES (LITERALS+1+LENGTH_CODES)
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/* number of Literal or Length codes, including the END_BLOCK code */
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#define D_CODES 30
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/* number of distance codes */
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#define BL_CODES 19
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/* number of codes used to transfer the bit lengths */
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local int near extra_lbits[LENGTH_CODES] /* extra bits for each length code */
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= {0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0};
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local int near extra_dbits[D_CODES] /* extra bits for each distance code */
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= {0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13};
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local int near extra_blbits[BL_CODES]/* extra bits for each bit length code */
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= {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,7};
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#define STORED_BLOCK 0
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#define STATIC_TREES 1
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#define DYN_TREES 2
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/* The three kinds of block type */
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#ifndef LIT_BUFSIZE
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# ifdef SMALL_MEM
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# define LIT_BUFSIZE 0x2000
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# else
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# ifdef MEDIUM_MEM
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# define LIT_BUFSIZE 0x4000
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# else
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# define LIT_BUFSIZE 0x8000
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# endif
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# endif
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#endif
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#ifndef DIST_BUFSIZE
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# define DIST_BUFSIZE LIT_BUFSIZE
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#endif
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/* Sizes of match buffers for literals/lengths and distances. There are
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* 4 reasons for limiting LIT_BUFSIZE to 64K:
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* - frequencies can be kept in 16 bit counters
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* - if compression is not successful for the first block, all input data is
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* still in the window so we can still emit a stored block even when input
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* comes from standard input. (This can also be done for all blocks if
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* LIT_BUFSIZE is not greater than 32K.)
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* - if compression is not successful for a file smaller than 64K, we can
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* even emit a stored file instead of a stored block (saving 5 bytes).
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* - creating new Huffman trees less frequently may not provide fast
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* adaptation to changes in the input data statistics. (Take for
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* example a binary file with poorly compressible code followed by
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* a highly compressible string table.) Smaller buffer sizes give
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* fast adaptation but have of course the overhead of transmitting trees
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* more frequently.
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* - I can't count above 4
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* The current code is general and allows DIST_BUFSIZE < LIT_BUFSIZE (to save
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* memory at the expense of compression). Some optimizations would be possible
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* if we rely on DIST_BUFSIZE == LIT_BUFSIZE.
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*/
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#if LIT_BUFSIZE > INBUFSIZ
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error cannot overlay l_buf and inbuf
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#endif
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#define REP_3_6 16
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/* repeat previous bit length 3-6 times (2 bits of repeat count) */
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#define REPZ_3_10 17
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/* repeat a zero length 3-10 times (3 bits of repeat count) */
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#define REPZ_11_138 18
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/* repeat a zero length 11-138 times (7 bits of repeat count) */
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/* ===========================================================================
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* Local data
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*/
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/* Data structure describing a single value and its code string. */
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typedef struct ct_data {
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union {
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ush freq; /* frequency count */
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ush code; /* bit string */
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} fc;
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union {
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ush dad; /* father node in Huffman tree */
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ush len; /* length of bit string */
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} dl;
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} ct_data;
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#define Freq fc.freq
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#define Code fc.code
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#define Dad dl.dad
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#define Len dl.len
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#define HEAP_SIZE (2*L_CODES+1)
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/* maximum heap size */
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local ct_data near dyn_ltree[HEAP_SIZE]; /* literal and length tree */
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local ct_data near dyn_dtree[2*D_CODES+1]; /* distance tree */
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local ct_data near static_ltree[L_CODES+2];
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/* The static literal tree. Since the bit lengths are imposed, there is no
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* need for the L_CODES extra codes used during heap construction. However
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* The codes 286 and 287 are needed to build a canonical tree (see ct_init
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* below).
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*/
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local ct_data near static_dtree[D_CODES];
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/* The static distance tree. (Actually a trivial tree since all codes use
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* 5 bits.)
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*/
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local ct_data near bl_tree[2*BL_CODES+1];
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/* Huffman tree for the bit lengths */
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typedef struct tree_desc {
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ct_data near *dyn_tree; /* the dynamic tree */
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ct_data near *static_tree; /* corresponding static tree or NULL */
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int near *extra_bits; /* extra bits for each code or NULL */
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int extra_base; /* base index for extra_bits */
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int elems; /* max number of elements in the tree */
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int max_length; /* max bit length for the codes */
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int max_code; /* largest code with non zero frequency */
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} tree_desc;
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local tree_desc near l_desc =
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{dyn_ltree, static_ltree, extra_lbits, LITERALS+1, L_CODES, MAX_BITS, 0};
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local tree_desc near d_desc =
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{dyn_dtree, static_dtree, extra_dbits, 0, D_CODES, MAX_BITS, 0};
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local tree_desc near bl_desc =
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{bl_tree, (ct_data near *)0, extra_blbits, 0, BL_CODES, MAX_BL_BITS, 0};
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local ush near bl_count[MAX_BITS+1];
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/* number of codes at each bit length for an optimal tree */
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local uch near bl_order[BL_CODES]
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= {16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15};
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/* The lengths of the bit length codes are sent in order of decreasing
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* probability, to avoid transmitting the lengths for unused bit length codes.
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*/
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local int near heap[2*L_CODES+1]; /* heap used to build the Huffman trees */
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local int heap_len; /* number of elements in the heap */
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local int heap_max; /* element of largest frequency */
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/* The sons of heap[n] are heap[2*n] and heap[2*n+1]. heap[0] is not used.
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* The same heap array is used to build all trees.
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*/
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local uch near depth[2*L_CODES+1];
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/* Depth of each subtree used as tie breaker for trees of equal frequency */
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local uch length_code[MAX_MATCH-MIN_MATCH+1];
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/* length code for each normalized match length (0 == MIN_MATCH) */
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local uch dist_code[512];
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/* distance codes. The first 256 values correspond to the distances
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* 3 .. 258, the last 256 values correspond to the top 8 bits of
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* the 15 bit distances.
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*/
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local int near base_length[LENGTH_CODES];
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/* First normalized length for each code (0 = MIN_MATCH) */
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local int near base_dist[D_CODES];
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/* First normalized distance for each code (0 = distance of 1) */
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#define l_buf inbuf
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/* DECLARE(uch, l_buf, LIT_BUFSIZE); buffer for literals or lengths */
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/* DECLARE(ush, d_buf, DIST_BUFSIZE); buffer for distances */
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local uch near flag_buf[(LIT_BUFSIZE/8)];
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/* flag_buf is a bit array distinguishing literals from lengths in
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* l_buf, thus indicating the presence or absence of a distance.
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*/
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local unsigned last_lit; /* running index in l_buf */
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local unsigned last_dist; /* running index in d_buf */
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local unsigned last_flags; /* running index in flag_buf */
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local uch flags; /* current flags not yet saved in flag_buf */
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local uch flag_bit; /* current bit used in flags */
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/* bits are filled in flags starting at bit 0 (least significant).
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* Note: these flags are overkill in the current code since we don't
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* take advantage of DIST_BUFSIZE == LIT_BUFSIZE.
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*/
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local ulg opt_len; /* bit length of current block with optimal trees */
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local ulg static_len; /* bit length of current block with static trees */
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local ulg compressed_len; /* total bit length of compressed file */
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local ulg input_len; /* total byte length of input file */
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/* input_len is for debugging only since we can get it by other means. */
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ush *file_type; /* pointer to UNKNOWN, BINARY or ASCII */
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int *file_method; /* pointer to DEFLATE or STORE */
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#ifdef DEBUG
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extern ulg bits_sent; /* bit length of the compressed data */
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extern long isize; /* byte length of input file */
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#endif
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extern long block_start; /* window offset of current block */
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extern unsigned near strstart; /* window offset of current string */
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/* ===========================================================================
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* Local (static) routines in this file.
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*/
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local void init_block OF((void));
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local void pqdownheap OF((ct_data near *tree, int k));
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local void gen_bitlen OF((tree_desc near *desc));
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local void gen_codes OF((ct_data near *tree, int max_code));
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local void build_tree OF((tree_desc near *desc));
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local void scan_tree OF((ct_data near *tree, int max_code));
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local void send_tree OF((ct_data near *tree, int max_code));
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local int build_bl_tree OF((void));
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local void send_all_trees OF((int lcodes, int dcodes, int blcodes));
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local void compress_block OF((ct_data near *ltree, ct_data near *dtree));
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local void set_file_type OF((void));
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#ifndef DEBUG
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# define send_code(c, tree) send_bits(tree[c].Code, tree[c].Len)
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/* Send a code of the given tree. c and tree must not have side effects */
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#else /* DEBUG */
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# define send_code(c, tree) \
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{ if (verbose>1) fprintf(stderr,"\ncd %3d ",(c)); \
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send_bits(tree[c].Code, tree[c].Len); }
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#endif
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#define d_code(dist) \
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((dist) < 256 ? dist_code[dist] : dist_code[256+((dist)>>7)])
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/* Mapping from a distance to a distance code. dist is the distance - 1 and
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* must not have side effects. dist_code[256] and dist_code[257] are never
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* used.
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*/
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#define MAX(a,b) (a >= b ? a : b)
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/* the arguments must not have side effects */
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/* ===========================================================================
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* Allocate the match buffer, initialize the various tables and save the
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* location of the internal file attribute (ascii/binary) and method
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* (DEFLATE/STORE).
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*/
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void ct_init(attr, methodp)
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ush *attr; /* pointer to internal file attribute */
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int *methodp; /* pointer to compression method */
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{
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int n; /* iterates over tree elements */
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int bits; /* bit counter */
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int length; /* length value */
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int code; /* code value */
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int dist; /* distance index */
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file_type = attr;
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file_method = methodp;
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compressed_len = input_len = 0L;
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if (static_dtree[0].Len != 0) return; /* ct_init already called */
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/* Initialize the mapping length (0..255) -> length code (0..28) */
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length = 0;
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for (code = 0; code < LENGTH_CODES-1; code++) {
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base_length[code] = length;
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for (n = 0; n < (1<<extra_lbits[code]); n++) {
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length_code[length++] = (uch)code;
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}
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}
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Assert (length == 256, "ct_init: length != 256");
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/* Note that the length 255 (match length 258) can be represented
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* in two different ways: code 284 + 5 bits or code 285, so we
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* overwrite length_code[255] to use the best encoding:
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*/
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length_code[length-1] = (uch)code;
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/* Initialize the mapping dist (0..32K) -> dist code (0..29) */
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dist = 0;
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for (code = 0 ; code < 16; code++) {
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base_dist[code] = dist;
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for (n = 0; n < (1<<extra_dbits[code]); n++) {
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dist_code[dist++] = (uch)code;
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}
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}
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Assert (dist == 256, "ct_init: dist != 256");
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dist >>= 7; /* from now on, all distances are divided by 128 */
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for ( ; code < D_CODES; code++) {
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base_dist[code] = dist << 7;
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for (n = 0; n < (1<<(extra_dbits[code]-7)); n++) {
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dist_code[256 + dist++] = (uch)code;
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}
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}
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Assert (dist == 256, "ct_init: 256+dist != 512");
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/* Construct the codes of the static literal tree */
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for (bits = 0; bits <= MAX_BITS; bits++) bl_count[bits] = 0;
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n = 0;
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while (n <= 143) static_ltree[n++].Len = 8, bl_count[8]++;
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while (n <= 255) static_ltree[n++].Len = 9, bl_count[9]++;
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while (n <= 279) static_ltree[n++].Len = 7, bl_count[7]++;
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while (n <= 287) static_ltree[n++].Len = 8, bl_count[8]++;
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/* Codes 286 and 287 do not exist, but we must include them in the
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* tree construction to get a canonical Huffman tree (longest code
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* all ones)
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*/
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gen_codes((ct_data near *)static_ltree, L_CODES+1);
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/* The static distance tree is trivial: */
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for (n = 0; n < D_CODES; n++) {
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static_dtree[n].Len = 5;
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static_dtree[n].Code = bi_reverse(n, 5);
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}
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/* Initialize the first block of the first file: */
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init_block();
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}
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/* ===========================================================================
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* Initialize a new block.
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*/
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local void init_block()
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{
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int n; /* iterates over tree elements */
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/* Initialize the trees. */
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for (n = 0; n < L_CODES; n++) dyn_ltree[n].Freq = 0;
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for (n = 0; n < D_CODES; n++) dyn_dtree[n].Freq = 0;
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for (n = 0; n < BL_CODES; n++) bl_tree[n].Freq = 0;
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dyn_ltree[END_BLOCK].Freq = 1;
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opt_len = static_len = 0L;
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last_lit = last_dist = last_flags = 0;
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flags = 0; flag_bit = 1;
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}
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#define SMALLEST 1
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/* Index within the heap array of least frequent node in the Huffman tree */
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/* ===========================================================================
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* Remove the smallest element from the heap and recreate the heap with
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* one less element. Updates heap and heap_len.
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*/
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#define pqremove(tree, top) \
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{\
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top = heap[SMALLEST]; \
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heap[SMALLEST] = heap[heap_len--]; \
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pqdownheap(tree, SMALLEST); \
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}
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/* ===========================================================================
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* Compares to subtrees, using the tree depth as tie breaker when
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* the subtrees have equal frequency. This minimizes the worst case length.
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*/
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#define smaller(tree, n, m) \
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(tree[n].Freq < tree[m].Freq || \
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(tree[n].Freq == tree[m].Freq && depth[n] <= depth[m]))
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/* ===========================================================================
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* Restore the heap property by moving down the tree starting at node k,
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* exchanging a node with the smallest of its two sons if necessary, stopping
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* when the heap property is re-established (each father smaller than its
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* two sons).
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*/
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local void pqdownheap(tree, k)
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ct_data near *tree; /* the tree to restore */
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int k; /* node to move down */
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{
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int v = heap[k];
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int j = k << 1; /* left son of k */
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while (j <= heap_len) {
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/* Set j to the smallest of the two sons: */
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if (j < heap_len && smaller(tree, heap[j+1], heap[j])) j++;
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/* Exit if v is smaller than both sons */
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if (smaller(tree, v, heap[j])) break;
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/* Exchange v with the smallest son */
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heap[k] = heap[j]; k = j;
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/* And continue down the tree, setting j to the left son of k */
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j <<= 1;
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}
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heap[k] = v;
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}
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/* ===========================================================================
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* Compute the optimal bit lengths for a tree and update the total bit length
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* for the current block.
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* IN assertion: the fields freq and dad are set, heap[heap_max] and
|
|
* above are the tree nodes sorted by increasing frequency.
|
|
* OUT assertions: the field len is set to the optimal bit length, the
|
|
* array bl_count contains the frequencies for each bit length.
|
|
* The length opt_len is updated; static_len is also updated if stree is
|
|
* not null.
|
|
*/
|
|
local void gen_bitlen(desc)
|
|
tree_desc near *desc; /* the tree descriptor */
|
|
{
|
|
ct_data near *tree = desc->dyn_tree;
|
|
int near *extra = desc->extra_bits;
|
|
int base = desc->extra_base;
|
|
int max_code = desc->max_code;
|
|
int max_length = desc->max_length;
|
|
ct_data near *stree = desc->static_tree;
|
|
int h; /* heap index */
|
|
int n, m; /* iterate over the tree elements */
|
|
int bits; /* bit length */
|
|
int xbits; /* extra bits */
|
|
ush f; /* frequency */
|
|
int overflow = 0; /* number of elements with bit length too large */
|
|
|
|
for (bits = 0; bits <= MAX_BITS; bits++) bl_count[bits] = 0;
|
|
|
|
/* In a first pass, compute the optimal bit lengths (which may
|
|
* overflow in the case of the bit length tree).
|
|
*/
|
|
tree[heap[heap_max]].Len = 0; /* root of the heap */
|
|
|
|
for (h = heap_max+1; h < HEAP_SIZE; h++) {
|
|
n = heap[h];
|
|
bits = tree[tree[n].Dad].Len + 1;
|
|
if (bits > max_length) bits = max_length, overflow++;
|
|
tree[n].Len = (ush)bits;
|
|
/* We overwrite tree[n].Dad which is no longer needed */
|
|
|
|
if (n > max_code) continue; /* not a leaf node */
|
|
|
|
bl_count[bits]++;
|
|
xbits = 0;
|
|
if (n >= base) xbits = extra[n-base];
|
|
f = tree[n].Freq;
|
|
opt_len += (ulg)f * (bits + xbits);
|
|
if (stree) static_len += (ulg)f * (stree[n].Len + xbits);
|
|
}
|
|
if (overflow == 0) return;
|
|
|
|
Trace((stderr,"\nbit length overflow\n"));
|
|
/* This happens for example on obj2 and pic of the Calgary corpus */
|
|
|
|
/* Find the first bit length which could increase: */
|
|
do {
|
|
bits = max_length-1;
|
|
while (bl_count[bits] == 0) bits--;
|
|
bl_count[bits]--; /* move one leaf down the tree */
|
|
bl_count[bits+1] += 2; /* move one overflow item as its brother */
|
|
bl_count[max_length]--;
|
|
/* The brother of the overflow item also moves one step up,
|
|
* but this does not affect bl_count[max_length]
|
|
*/
|
|
overflow -= 2;
|
|
} while (overflow > 0);
|
|
|
|
/* Now recompute all bit lengths, scanning in increasing frequency.
|
|
* h is still equal to HEAP_SIZE. (It is simpler to reconstruct all
|
|
* lengths instead of fixing only the wrong ones. This idea is taken
|
|
* from 'ar' written by Haruhiko Okumura.)
|
|
*/
|
|
for (bits = max_length; bits != 0; bits--) {
|
|
n = bl_count[bits];
|
|
while (n != 0) {
|
|
m = heap[--h];
|
|
if (m > max_code) continue;
|
|
if (tree[m].Len != (unsigned) bits) {
|
|
Trace((stderr,"code %d bits %d->%d\n", m, tree[m].Len, bits));
|
|
opt_len += ((long)bits-(long)tree[m].Len)*(long)tree[m].Freq;
|
|
tree[m].Len = (ush)bits;
|
|
}
|
|
n--;
|
|
}
|
|
}
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Generate the codes for a given tree and bit counts (which need not be
|
|
* optimal).
|
|
* IN assertion: the array bl_count contains the bit length statistics for
|
|
* the given tree and the field len is set for all tree elements.
|
|
* OUT assertion: the field code is set for all tree elements of non
|
|
* zero code length.
|
|
*/
|
|
local void gen_codes (tree, max_code)
|
|
ct_data near *tree; /* the tree to decorate */
|
|
int max_code; /* largest code with non zero frequency */
|
|
{
|
|
ush next_code[MAX_BITS+1]; /* next code value for each bit length */
|
|
ush code = 0; /* running code value */
|
|
int bits; /* bit index */
|
|
int n; /* code index */
|
|
|
|
/* The distribution counts are first used to generate the code values
|
|
* without bit reversal.
|
|
*/
|
|
for (bits = 1; bits <= MAX_BITS; bits++) {
|
|
next_code[bits] = code = (code + bl_count[bits-1]) << 1;
|
|
}
|
|
/* Check that the bit counts in bl_count are consistent. The last code
|
|
* must be all ones.
|
|
*/
|
|
Assert (code + bl_count[MAX_BITS]-1 == (1<<MAX_BITS)-1,
|
|
"inconsistent bit counts");
|
|
Tracev((stderr,"\ngen_codes: max_code %d ", max_code));
|
|
|
|
for (n = 0; n <= max_code; n++) {
|
|
int len = tree[n].Len;
|
|
if (len == 0) continue;
|
|
/* Now reverse the bits */
|
|
tree[n].Code = bi_reverse(next_code[len]++, len);
|
|
|
|
Tracec(tree != static_ltree, (stderr,"\nn %3d %c l %2d c %4x (%x) ",
|
|
n, (isgraph(n) ? n : ' '), len, tree[n].Code, next_code[len]-1));
|
|
}
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Construct one Huffman tree and assigns the code bit strings and lengths.
|
|
* Update the total bit length for the current block.
|
|
* IN assertion: the field freq is set for all tree elements.
|
|
* OUT assertions: the fields len and code are set to the optimal bit length
|
|
* and corresponding code. The length opt_len is updated; static_len is
|
|
* also updated if stree is not null. The field max_code is set.
|
|
*/
|
|
local void build_tree(desc)
|
|
tree_desc near *desc; /* the tree descriptor */
|
|
{
|
|
ct_data near *tree = desc->dyn_tree;
|
|
ct_data near *stree = desc->static_tree;
|
|
int elems = desc->elems;
|
|
int n, m; /* iterate over heap elements */
|
|
int max_code = -1; /* largest code with non zero frequency */
|
|
int node = elems; /* next internal node of the tree */
|
|
|
|
/* Construct the initial heap, with least frequent element in
|
|
* heap[SMALLEST]. The sons of heap[n] are heap[2*n] and heap[2*n+1].
|
|
* heap[0] is not used.
|
|
*/
|
|
heap_len = 0, heap_max = HEAP_SIZE;
|
|
|
|
for (n = 0; n < elems; n++) {
|
|
if (tree[n].Freq != 0) {
|
|
heap[++heap_len] = max_code = n;
|
|
depth[n] = 0;
|
|
} else {
|
|
tree[n].Len = 0;
|
|
}
|
|
}
|
|
|
|
/* The pkzip format requires that at least one distance code exists,
|
|
* and that at least one bit should be sent even if there is only one
|
|
* possible code. So to avoid special checks later on we force at least
|
|
* two codes of non zero frequency.
|
|
*/
|
|
while (heap_len < 2) {
|
|
int new = heap[++heap_len] = (max_code < 2 ? ++max_code : 0);
|
|
tree[new].Freq = 1;
|
|
depth[new] = 0;
|
|
opt_len--; if (stree) static_len -= stree[new].Len;
|
|
/* new is 0 or 1 so it does not have extra bits */
|
|
}
|
|
desc->max_code = max_code;
|
|
|
|
/* The elements heap[heap_len/2+1 .. heap_len] are leaves of the tree,
|
|
* establish sub-heaps of increasing lengths:
|
|
*/
|
|
for (n = heap_len/2; n >= 1; n--) pqdownheap(tree, n);
|
|
|
|
/* Construct the Huffman tree by repeatedly combining the least two
|
|
* frequent nodes.
|
|
*/
|
|
do {
|
|
pqremove(tree, n); /* n = node of least frequency */
|
|
m = heap[SMALLEST]; /* m = node of next least frequency */
|
|
|
|
heap[--heap_max] = n; /* keep the nodes sorted by frequency */
|
|
heap[--heap_max] = m;
|
|
|
|
/* Create a new node father of n and m */
|
|
tree[node].Freq = tree[n].Freq + tree[m].Freq;
|
|
depth[node] = (uch) (MAX(depth[n], depth[m]) + 1);
|
|
tree[n].Dad = tree[m].Dad = (ush)node;
|
|
#ifdef DUMP_BL_TREE
|
|
if (tree == bl_tree) {
|
|
fprintf(stderr,"\nnode %d(%d), sons %d(%d) %d(%d)",
|
|
node, tree[node].Freq, n, tree[n].Freq, m, tree[m].Freq);
|
|
}
|
|
#endif
|
|
/* and insert the new node in the heap */
|
|
heap[SMALLEST] = node++;
|
|
pqdownheap(tree, SMALLEST);
|
|
|
|
} while (heap_len >= 2);
|
|
|
|
heap[--heap_max] = heap[SMALLEST];
|
|
|
|
/* At this point, the fields freq and dad are set. We can now
|
|
* generate the bit lengths.
|
|
*/
|
|
gen_bitlen((tree_desc near *)desc);
|
|
|
|
/* The field len is now set, we can generate the bit codes */
|
|
gen_codes ((ct_data near *)tree, max_code);
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Scan a literal or distance tree to determine the frequencies of the codes
|
|
* in the bit length tree. Updates opt_len to take into account the repeat
|
|
* counts. (The contribution of the bit length codes will be added later
|
|
* during the construction of bl_tree.)
|
|
*/
|
|
local void scan_tree (tree, max_code)
|
|
ct_data near *tree; /* the tree to be scanned */
|
|
int max_code; /* and its largest code of non zero frequency */
|
|
{
|
|
int n; /* iterates over all tree elements */
|
|
int prevlen = -1; /* last emitted length */
|
|
int curlen; /* length of current code */
|
|
int nextlen = tree[0].Len; /* length of next code */
|
|
int count = 0; /* repeat count of the current code */
|
|
int max_count = 7; /* max repeat count */
|
|
int min_count = 4; /* min repeat count */
|
|
|
|
if (nextlen == 0) max_count = 138, min_count = 3;
|
|
tree[max_code+1].Len = (ush)0xffff; /* guard */
|
|
|
|
for (n = 0; n <= max_code; n++) {
|
|
curlen = nextlen; nextlen = tree[n+1].Len;
|
|
if (++count < max_count && curlen == nextlen) {
|
|
continue;
|
|
} else if (count < min_count) {
|
|
bl_tree[curlen].Freq += count;
|
|
} else if (curlen != 0) {
|
|
if (curlen != prevlen) bl_tree[curlen].Freq++;
|
|
bl_tree[REP_3_6].Freq++;
|
|
} else if (count <= 10) {
|
|
bl_tree[REPZ_3_10].Freq++;
|
|
} else {
|
|
bl_tree[REPZ_11_138].Freq++;
|
|
}
|
|
count = 0; prevlen = curlen;
|
|
if (nextlen == 0) {
|
|
max_count = 138, min_count = 3;
|
|
} else if (curlen == nextlen) {
|
|
max_count = 6, min_count = 3;
|
|
} else {
|
|
max_count = 7, min_count = 4;
|
|
}
|
|
}
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Send a literal or distance tree in compressed form, using the codes in
|
|
* bl_tree.
|
|
*/
|
|
local void send_tree (tree, max_code)
|
|
ct_data near *tree; /* the tree to be scanned */
|
|
int max_code; /* and its largest code of non zero frequency */
|
|
{
|
|
int n; /* iterates over all tree elements */
|
|
int prevlen = -1; /* last emitted length */
|
|
int curlen; /* length of current code */
|
|
int nextlen = tree[0].Len; /* length of next code */
|
|
int count = 0; /* repeat count of the current code */
|
|
int max_count = 7; /* max repeat count */
|
|
int min_count = 4; /* min repeat count */
|
|
|
|
/* tree[max_code+1].Len = -1; */ /* guard already set */
|
|
if (nextlen == 0) max_count = 138, min_count = 3;
|
|
|
|
for (n = 0; n <= max_code; n++) {
|
|
curlen = nextlen; nextlen = tree[n+1].Len;
|
|
if (++count < max_count && curlen == nextlen) {
|
|
continue;
|
|
} else if (count < min_count) {
|
|
do { send_code(curlen, bl_tree); } while (--count != 0);
|
|
|
|
} else if (curlen != 0) {
|
|
if (curlen != prevlen) {
|
|
send_code(curlen, bl_tree); count--;
|
|
}
|
|
Assert(count >= 3 && count <= 6, " 3_6?");
|
|
send_code(REP_3_6, bl_tree); send_bits(count-3, 2);
|
|
|
|
} else if (count <= 10) {
|
|
send_code(REPZ_3_10, bl_tree); send_bits(count-3, 3);
|
|
|
|
} else {
|
|
send_code(REPZ_11_138, bl_tree); send_bits(count-11, 7);
|
|
}
|
|
count = 0; prevlen = curlen;
|
|
if (nextlen == 0) {
|
|
max_count = 138, min_count = 3;
|
|
} else if (curlen == nextlen) {
|
|
max_count = 6, min_count = 3;
|
|
} else {
|
|
max_count = 7, min_count = 4;
|
|
}
|
|
}
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Construct the Huffman tree for the bit lengths and return the index in
|
|
* bl_order of the last bit length code to send.
|
|
*/
|
|
local int build_bl_tree()
|
|
{
|
|
int max_blindex; /* index of last bit length code of non zero freq */
|
|
|
|
/* Determine the bit length frequencies for literal and distance trees */
|
|
scan_tree((ct_data near *)dyn_ltree, l_desc.max_code);
|
|
scan_tree((ct_data near *)dyn_dtree, d_desc.max_code);
|
|
|
|
/* Build the bit length tree: */
|
|
build_tree((tree_desc near *)(&bl_desc));
|
|
/* opt_len now includes the length of the tree representations, except
|
|
* the lengths of the bit lengths codes and the 5+5+4 bits for the counts.
|
|
*/
|
|
|
|
/* Determine the number of bit length codes to send. The pkzip format
|
|
* requires that at least 4 bit length codes be sent. (appnote.txt says
|
|
* 3 but the actual value used is 4.)
|
|
*/
|
|
for (max_blindex = BL_CODES-1; max_blindex >= 3; max_blindex--) {
|
|
if (bl_tree[bl_order[max_blindex]].Len != 0) break;
|
|
}
|
|
/* Update opt_len to include the bit length tree and counts */
|
|
opt_len += 3*(max_blindex+1) + 5+5+4;
|
|
Tracev((stderr, "\ndyn trees: dyn %ld, stat %ld", opt_len, static_len));
|
|
|
|
return max_blindex;
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Send the header for a block using dynamic Huffman trees: the counts, the
|
|
* lengths of the bit length codes, the literal tree and the distance tree.
|
|
* IN assertion: lcodes >= 257, dcodes >= 1, blcodes >= 4.
|
|
*/
|
|
local void send_all_trees(lcodes, dcodes, blcodes)
|
|
int lcodes, dcodes, blcodes; /* number of codes for each tree */
|
|
{
|
|
int rank; /* index in bl_order */
|
|
|
|
Assert (lcodes >= 257 && dcodes >= 1 && blcodes >= 4, "not enough codes");
|
|
Assert (lcodes <= L_CODES && dcodes <= D_CODES && blcodes <= BL_CODES,
|
|
"too many codes");
|
|
Tracev((stderr, "\nbl counts: "));
|
|
send_bits(lcodes-257, 5); /* not +255 as stated in appnote.txt */
|
|
send_bits(dcodes-1, 5);
|
|
send_bits(blcodes-4, 4); /* not -3 as stated in appnote.txt */
|
|
for (rank = 0; rank < blcodes; rank++) {
|
|
Tracev((stderr, "\nbl code %2d ", bl_order[rank]));
|
|
send_bits(bl_tree[bl_order[rank]].Len, 3);
|
|
}
|
|
Tracev((stderr, "\nbl tree: sent %ld", bits_sent));
|
|
|
|
send_tree((ct_data near *)dyn_ltree, lcodes-1); /* send the literal tree */
|
|
Tracev((stderr, "\nlit tree: sent %ld", bits_sent));
|
|
|
|
send_tree((ct_data near *)dyn_dtree, dcodes-1); /* send the distance tree */
|
|
Tracev((stderr, "\ndist tree: sent %ld", bits_sent));
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Determine the best encoding for the current block: dynamic trees, static
|
|
* trees or store, and output the encoded block to the zip file. This function
|
|
* returns the total compressed length for the file so far.
|
|
*/
|
|
ulg flush_block(buf, stored_len, eof)
|
|
char *buf; /* input block, or NULL if too old */
|
|
ulg stored_len; /* length of input block */
|
|
int eof; /* true if this is the last block for a file */
|
|
{
|
|
ulg opt_lenb, static_lenb; /* opt_len and static_len in bytes */
|
|
int max_blindex; /* index of last bit length code of non zero freq */
|
|
|
|
flag_buf[last_flags] = flags; /* Save the flags for the last 8 items */
|
|
|
|
/* Check if the file is ascii or binary */
|
|
if (*file_type == (ush)UNKNOWN) set_file_type();
|
|
|
|
/* Construct the literal and distance trees */
|
|
build_tree((tree_desc near *)(&l_desc));
|
|
Tracev((stderr, "\nlit data: dyn %ld, stat %ld", opt_len, static_len));
|
|
|
|
build_tree((tree_desc near *)(&d_desc));
|
|
Tracev((stderr, "\ndist data: dyn %ld, stat %ld", opt_len, static_len));
|
|
/* At this point, opt_len and static_len are the total bit lengths of
|
|
* the compressed block data, excluding the tree representations.
|
|
*/
|
|
|
|
/* Build the bit length tree for the above two trees, and get the index
|
|
* in bl_order of the last bit length code to send.
|
|
*/
|
|
max_blindex = build_bl_tree();
|
|
|
|
/* Determine the best encoding. Compute first the block length in bytes */
|
|
opt_lenb = (opt_len+3+7)>>3;
|
|
static_lenb = (static_len+3+7)>>3;
|
|
input_len += stored_len; /* for debugging only */
|
|
|
|
Trace((stderr, "\nopt %lu(%lu) stat %lu(%lu) stored %lu lit %u dist %u ",
|
|
opt_lenb, opt_len, static_lenb, static_len, stored_len,
|
|
last_lit, last_dist));
|
|
|
|
if (static_lenb <= opt_lenb) opt_lenb = static_lenb;
|
|
|
|
/* If compression failed and this is the first and last block,
|
|
* and if the zip file can be seeked (to rewrite the local header),
|
|
* the whole file is transformed into a stored file:
|
|
*/
|
|
#ifdef FORCE_METHOD
|
|
if (level == 1 && eof && compressed_len == 0L) { /* force stored file */
|
|
#else
|
|
if (stored_len <= opt_lenb && eof && compressed_len == 0L && seekable()) {
|
|
#endif
|
|
/* Since LIT_BUFSIZE <= 2*WSIZE, the input data must be there: */
|
|
if (buf == (char*)0) error ("block vanished");
|
|
|
|
copy_block(buf, (unsigned)stored_len, 0); /* without header */
|
|
compressed_len = stored_len << 3;
|
|
*file_method = STORED;
|
|
|
|
#ifdef FORCE_METHOD
|
|
} else if (level == 2 && buf != (char*)0) { /* force stored block */
|
|
#else
|
|
} else if (stored_len+4 <= opt_lenb && buf != (char*)0) {
|
|
/* 4: two words for the lengths */
|
|
#endif
|
|
/* The test buf != NULL is only necessary if LIT_BUFSIZE > WSIZE.
|
|
* Otherwise we can't have processed more than WSIZE input bytes since
|
|
* the last block flush, because compression would have been
|
|
* successful. If LIT_BUFSIZE <= WSIZE, it is never too late to
|
|
* transform a block into a stored block.
|
|
*/
|
|
send_bits((STORED_BLOCK<<1)+eof, 3); /* send block type */
|
|
compressed_len = (compressed_len + 3 + 7) & ~7L;
|
|
compressed_len += (stored_len + 4) << 3;
|
|
|
|
copy_block(buf, (unsigned)stored_len, 1); /* with header */
|
|
|
|
#ifdef FORCE_METHOD
|
|
} else if (level == 3) { /* force static trees */
|
|
#else
|
|
} else if (static_lenb == opt_lenb) {
|
|
#endif
|
|
send_bits((STATIC_TREES<<1)+eof, 3);
|
|
compress_block((ct_data near *)static_ltree, (ct_data near *)static_dtree);
|
|
compressed_len += 3 + static_len;
|
|
} else {
|
|
send_bits((DYN_TREES<<1)+eof, 3);
|
|
send_all_trees(l_desc.max_code+1, d_desc.max_code+1, max_blindex+1);
|
|
compress_block((ct_data near *)dyn_ltree, (ct_data near *)dyn_dtree);
|
|
compressed_len += 3 + opt_len;
|
|
}
|
|
Assert (compressed_len == bits_sent, "bad compressed size");
|
|
init_block();
|
|
|
|
if (eof) {
|
|
Assert (input_len == isize, "bad input size");
|
|
bi_windup();
|
|
compressed_len += 7; /* align on byte boundary */
|
|
}
|
|
Tracev((stderr,"\ncomprlen %lu(%lu) ", compressed_len>>3,
|
|
compressed_len-7*eof));
|
|
|
|
return compressed_len >> 3;
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Save the match info and tally the frequency counts. Return true if
|
|
* the current block must be flushed.
|
|
*/
|
|
int ct_tally (dist, lc)
|
|
int dist; /* distance of matched string */
|
|
int lc; /* match length-MIN_MATCH or unmatched char (if dist==0) */
|
|
{
|
|
l_buf[last_lit++] = (uch)lc;
|
|
if (dist == 0) {
|
|
/* lc is the unmatched char */
|
|
dyn_ltree[lc].Freq++;
|
|
} else {
|
|
/* Here, lc is the match length - MIN_MATCH */
|
|
dist--; /* dist = match distance - 1 */
|
|
Assert((ush)dist < (ush)MAX_DIST &&
|
|
(ush)lc <= (ush)(MAX_MATCH-MIN_MATCH) &&
|
|
(ush)d_code(dist) < (ush)D_CODES, "ct_tally: bad match");
|
|
|
|
dyn_ltree[length_code[lc]+LITERALS+1].Freq++;
|
|
dyn_dtree[d_code(dist)].Freq++;
|
|
|
|
d_buf[last_dist++] = (ush)dist;
|
|
flags |= flag_bit;
|
|
}
|
|
flag_bit <<= 1;
|
|
|
|
/* Output the flags if they fill a byte: */
|
|
if ((last_lit & 7) == 0) {
|
|
flag_buf[last_flags++] = flags;
|
|
flags = 0, flag_bit = 1;
|
|
}
|
|
/* Try to guess if it is profitable to stop the current block here */
|
|
if (level > 2 && (last_lit & 0xfff) == 0) {
|
|
/* Compute an upper bound for the compressed length */
|
|
ulg out_length = (ulg)last_lit*8L;
|
|
ulg in_length = (ulg)strstart-block_start;
|
|
int dcode;
|
|
for (dcode = 0; dcode < D_CODES; dcode++) {
|
|
out_length += (ulg)dyn_dtree[dcode].Freq*(5L+extra_dbits[dcode]);
|
|
}
|
|
out_length >>= 3;
|
|
Trace((stderr,"\nlast_lit %u, last_dist %u, in %ld, out ~%ld(%ld%%) ",
|
|
last_lit, last_dist, in_length, out_length,
|
|
100L - out_length*100L/in_length));
|
|
if (last_dist < last_lit/2 && out_length < in_length/2) return 1;
|
|
}
|
|
return (last_lit == LIT_BUFSIZE-1 || last_dist == DIST_BUFSIZE);
|
|
/* We avoid equality with LIT_BUFSIZE because of wraparound at 64K
|
|
* on 16 bit machines and because stored blocks are restricted to
|
|
* 64K-1 bytes.
|
|
*/
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Send the block data compressed using the given Huffman trees
|
|
*/
|
|
local void compress_block(ltree, dtree)
|
|
ct_data near *ltree; /* literal tree */
|
|
ct_data near *dtree; /* distance tree */
|
|
{
|
|
unsigned dist; /* distance of matched string */
|
|
int lc; /* match length or unmatched char (if dist == 0) */
|
|
unsigned lx = 0; /* running index in l_buf */
|
|
unsigned dx = 0; /* running index in d_buf */
|
|
unsigned fx = 0; /* running index in flag_buf */
|
|
uch flag = 0; /* current flags */
|
|
unsigned code; /* the code to send */
|
|
int extra; /* number of extra bits to send */
|
|
|
|
if (last_lit != 0) do {
|
|
if ((lx & 7) == 0) flag = flag_buf[fx++];
|
|
lc = l_buf[lx++];
|
|
if ((flag & 1) == 0) {
|
|
send_code(lc, ltree); /* send a literal byte */
|
|
Tracecv(isgraph(lc), (stderr," '%c' ", lc));
|
|
} else {
|
|
/* Here, lc is the match length - MIN_MATCH */
|
|
code = length_code[lc];
|
|
send_code(code+LITERALS+1, ltree); /* send the length code */
|
|
extra = extra_lbits[code];
|
|
if (extra != 0) {
|
|
lc -= base_length[code];
|
|
send_bits(lc, extra); /* send the extra length bits */
|
|
}
|
|
dist = d_buf[dx++];
|
|
/* Here, dist is the match distance - 1 */
|
|
code = d_code(dist);
|
|
Assert (code < D_CODES, "bad d_code");
|
|
|
|
send_code(code, dtree); /* send the distance code */
|
|
extra = extra_dbits[code];
|
|
if (extra != 0) {
|
|
dist -= base_dist[code];
|
|
send_bits(dist, extra); /* send the extra distance bits */
|
|
}
|
|
} /* literal or match pair ? */
|
|
flag >>= 1;
|
|
} while (lx < last_lit);
|
|
|
|
send_code(END_BLOCK, ltree);
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Set the file type to ASCII or BINARY, using a crude approximation:
|
|
* binary if more than 20% of the bytes are <= 6 or >= 128, ascii otherwise.
|
|
* IN assertion: the fields freq of dyn_ltree are set and the total of all
|
|
* frequencies does not exceed 64K (to fit in an int on 16 bit machines).
|
|
*/
|
|
local void set_file_type()
|
|
{
|
|
int n = 0;
|
|
unsigned ascii_freq = 0;
|
|
unsigned bin_freq = 0;
|
|
while (n < 7) bin_freq += dyn_ltree[n++].Freq;
|
|
while (n < 128) ascii_freq += dyn_ltree[n++].Freq;
|
|
while (n < LITERALS) bin_freq += dyn_ltree[n++].Freq;
|
|
*file_type = bin_freq > (ascii_freq >> 2) ? BINARY : ASCII;
|
|
if (*file_type == BINARY && translate_eol) {
|
|
WARN((stderr, "-l used on binary file"));
|
|
}
|
|
}
|