mirror of
https://github.com/swc-project/swc.git
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1238 lines
37 KiB
TypeScript
1238 lines
37 KiB
TypeScript
// Loaded from https://deno.land/x/compress@v0.3.8/zlib/zlib/trees.ts
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//const Z_FILTERED = 1;
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//const Z_HUFFMAN_ONLY = 2;
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//const Z_RLE = 3;
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const Z_FIXED = 4;
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//const Z_DEFAULT_STRATEGY = 0;
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/* Possible values of the data_type field (though see inflate()) */
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const Z_BINARY = 0;
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const Z_TEXT = 1;
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//const Z_ASCII = 1; // = Z_TEXT
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const Z_UNKNOWN = 2;
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function zero(buf: any) {
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buf.fill(0, 0, buf.length);
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}
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// From zutil.h
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const STORED_BLOCK = 0;
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const STATIC_TREES = 1;
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const DYN_TREES = 2;
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/* The three kinds of block type */
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const MIN_MATCH = 3;
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const MAX_MATCH = 258;
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/* The minimum and maximum match lengths */
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// From deflate.h
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/* ===========================================================================
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* Internal compression state.
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*/
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const LENGTH_CODES = 29;
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/* number of length codes, not counting the special END_BLOCK code */
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const LITERALS = 256;
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/* number of literal bytes 0..255 */
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const 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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const D_CODES = 30;
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/* number of distance codes */
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const BL_CODES = 19;
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/* number of codes used to transfer the bit lengths */
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const HEAP_SIZE = 2 * L_CODES + 1;
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/* maximum heap size */
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const MAX_BITS = 15;
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/* All codes must not exceed MAX_BITS bits */
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const Buf_size = 16;
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/* size of bit buffer in bi_buf */
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/* ===========================================================================
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* Constants
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*/
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const MAX_BL_BITS = 7;
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/* Bit length codes must not exceed MAX_BL_BITS bits */
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const END_BLOCK = 256;
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/* end of block literal code */
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const REP_3_6 = 16;
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/* repeat previous bit length 3-6 times (2 bits of repeat count) */
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const REPZ_3_10 = 17;
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/* repeat a zero length 3-10 times (3 bits of repeat count) */
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const REPZ_11_138 = 18;
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/* repeat a zero length 11-138 times (7 bits of repeat count) */
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/* eslint-disable comma-spacing,array-bracket-spacing */
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const extra_lbits = /* extra bits for each length code */
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[
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0,
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0,
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0,
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0,
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0,
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0,
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0,
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0,
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1,
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1,
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1,
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1,
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2,
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2,
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2,
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2,
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3,
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3,
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3,
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3,
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4,
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4,
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4,
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4,
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5,
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5,
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5,
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5,
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0,
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];
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const extra_dbits = /* extra bits for each distance code */
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[
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0,
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0,
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0,
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0,
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1,
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1,
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2,
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2,
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3,
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3,
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4,
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4,
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5,
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5,
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6,
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6,
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7,
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7,
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8,
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8,
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9,
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9,
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10,
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10,
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11,
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11,
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12,
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12,
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13,
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13,
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];
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const extra_blbits = /* 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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const bl_order = [
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16,
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17,
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18,
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0,
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8,
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7,
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9,
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6,
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10,
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5,
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11,
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4,
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12,
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3,
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13,
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2,
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14,
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1,
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15,
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];
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/* eslint-enable comma-spacing,array-bracket-spacing */
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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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/* ===========================================================================
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* Local data. These are initialized only once.
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*/
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// We pre-fill arrays with 0 to avoid uninitialized gaps
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const DIST_CODE_LEN = 512; /* see definition of array dist_code below */
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// !!!! Use flat array instead of structure, Freq = i*2, Len = i*2+1
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const static_ltree = new Array((L_CODES + 2) * 2);
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zero(static_ltree);
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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 _tr_init
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* below).
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*/
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const static_dtree = new Array(D_CODES * 2);
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zero(static_dtree);
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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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const _dist_code = new Array(DIST_CODE_LEN);
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zero(_dist_code);
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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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const _length_code = new Array(MAX_MATCH - MIN_MATCH + 1);
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zero(_length_code);
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/* length code for each normalized match length (0 == MIN_MATCH) */
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const base_length = new Array(LENGTH_CODES);
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zero(base_length);
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/* First normalized length for each code (0 = MIN_MATCH) */
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const base_dist = new Array(D_CODES);
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zero(base_dist);
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/* First normalized distance for each code (0 = distance of 1) */
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class StaticTreeDesc {
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static_tree: any; /* static tree or NULL */
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extra_bits: any; /* extra bits for each code or NULL */
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extra_base: any; /* base index for extra_bits */
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elems: any; /* max number of elements in the tree */
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max_length: any; /* max bit length for the codes */
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// show if `static_tree` has data or dummy - needed for monomorphic objects
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has_stree: any;
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constructor(
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static_tree: any,
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extra_bits: any,
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extra_base: any,
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elems: any,
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max_length: any,
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) {
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this.static_tree = static_tree; /* static tree or NULL */
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this.extra_bits = extra_bits; /* extra bits for each code or NULL */
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this.extra_base = extra_base; /* base index for extra_bits */
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this.elems = elems; /* max number of elements in the tree */
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this.max_length = max_length; /* max bit length for the codes */
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// show if `static_tree` has data or dummy - needed for monomorphic objects
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this.has_stree = static_tree && static_tree.length;
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}
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}
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let static_l_desc: any;
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let static_d_desc: any;
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let static_bl_desc: any;
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class TreeDesc {
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dyn_tree: any; /* the dynamic tree */
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max_code: any; /* largest code with non zero frequency */
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stat_desc: any; /* the corresponding static tree */
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constructor(dyn_tree: any, stat_desc: any) {
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this.dyn_tree = dyn_tree; /* the dynamic tree */
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this.max_code = 0; /* largest code with non zero frequency */
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this.stat_desc = stat_desc; /* the corresponding static tree */
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}
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}
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function d_code(dist: any) {
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return dist < 256 ? _dist_code[dist] : _dist_code[256 + (dist >>> 7)];
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}
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/* ===========================================================================
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* Output a short LSB first on the stream.
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* IN assertion: there is enough room in pendingBuf.
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*/
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function put_short(s: any, w: any) {
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// put_byte(s, (uch)((w) & 0xff));
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// put_byte(s, (uch)((ush)(w) >> 8));
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s.pending_buf[s.pending++] = (w) & 0xff;
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s.pending_buf[s.pending++] = (w >>> 8) & 0xff;
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}
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/* ===========================================================================
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* Send a value on a given number of bits.
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* IN assertion: length <= 16 and value fits in length bits.
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*/
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function send_bits(s: any, value: any, length: any) {
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if (s.bi_valid > (Buf_size - length)) {
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s.bi_buf |= (value << s.bi_valid) & 0xffff;
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put_short(s, s.bi_buf);
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s.bi_buf = value >> (Buf_size - s.bi_valid);
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s.bi_valid += length - Buf_size;
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} else {
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s.bi_buf |= (value << s.bi_valid) & 0xffff;
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s.bi_valid += length;
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}
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}
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function send_code(s: any, c: any, tree: any) {
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send_bits(s, tree[c * 2], /*.Code*/ tree[c * 2 + 1] /*.Len*/);
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}
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/* ===========================================================================
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* Reverse the first len bits of a code, using straightforward code (a faster
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* method would use a table)
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* IN assertion: 1 <= len <= 15
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*/
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function bi_reverse(code: any, len: any) {
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let res = 0;
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do {
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res |= code & 1;
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code >>>= 1;
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res <<= 1;
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} while (--len > 0);
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return res >>> 1;
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}
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/* ===========================================================================
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* Flush the bit buffer, keeping at most 7 bits in it.
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*/
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function bi_flush(s: any) {
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if (s.bi_valid === 16) {
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put_short(s, s.bi_buf);
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s.bi_buf = 0;
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s.bi_valid = 0;
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} else if (s.bi_valid >= 8) {
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s.pending_buf[s.pending++] = s.bi_buf & 0xff;
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s.bi_buf >>= 8;
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s.bi_valid -= 8;
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}
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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
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* above are the tree nodes sorted by increasing frequency.
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* OUT assertions: the field len is set to the optimal bit length, the
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* array bl_count contains the frequencies for each bit length.
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* The length opt_len is updated; static_len is also updated if stree is
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* not null.
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*/
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function gen_bitlen(s: any, desc: any) {
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let tree = desc.dyn_tree;
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let max_code = desc.max_code;
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let stree = desc.stat_desc.static_tree;
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let has_stree = desc.stat_desc.has_stree;
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let extra = desc.stat_desc.extra_bits;
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let base = desc.stat_desc.extra_base;
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let max_length = desc.stat_desc.max_length;
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let h; /* heap index */
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let n, m; /* iterate over the tree elements */
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let bits; /* bit length */
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let xbits; /* extra bits */
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let f; /* frequency */
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let overflow = 0; /* number of elements with bit length too large */
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for (bits = 0; bits <= MAX_BITS; bits++) {
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s.bl_count[bits] = 0;
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}
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/* In a first pass, compute the optimal bit lengths (which may
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* overflow in the case of the bit length tree).
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*/
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tree[s.heap[s.heap_max] * 2 + 1] /*.Len*/ = 0; /* root of the heap */
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for (h = s.heap_max + 1; h < HEAP_SIZE; h++) {
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n = s.heap[h];
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bits = tree[tree[n * 2 + 1] /*.Dad*/ * 2 + 1] /*.Len*/ + 1;
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if (bits > max_length) {
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bits = max_length;
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overflow++;
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}
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tree[n * 2 + 1] /*.Len*/ = bits;
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/* We overwrite tree[n].Dad which is no longer needed */
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if (n > max_code) continue; /* not a leaf node */
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s.bl_count[bits]++;
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xbits = 0;
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if (n >= base) {
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xbits = extra[n - base];
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}
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f = tree[n * 2] /*.Freq*/;
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s.opt_len += f * (bits + xbits);
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if (has_stree) {
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s.static_len += f * (stree[n * 2 + 1] /*.Len*/ + xbits);
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}
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}
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if (overflow === 0) return;
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// Trace((stderr,"\nbit length overflow\n"));
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/* This happens for example on obj2 and pic of the Calgary corpus */
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/* Find the first bit length which could increase: */
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do {
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bits = max_length - 1;
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while (s.bl_count[bits] === 0) bits--;
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s.bl_count[bits]--; /* move one leaf down the tree */
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s.bl_count[bits + 1] += 2; /* move one overflow item as its brother */
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s.bl_count[max_length]--;
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/* The brother of the overflow item also moves one step up,
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* but this does not affect bl_count[max_length]
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*/
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overflow -= 2;
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} while (overflow > 0);
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/* Now recompute all bit lengths, scanning in increasing frequency.
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* h is still equal to HEAP_SIZE. (It is simpler to reconstruct all
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* lengths instead of fixing only the wrong ones. This idea is taken
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* from 'ar' written by Haruhiko Okumura.)
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*/
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for (bits = max_length; bits !== 0; bits--) {
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n = s.bl_count[bits];
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while (n !== 0) {
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m = s.heap[--h];
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if (m > max_code) continue;
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if (tree[m * 2 + 1] /*.Len*/ !== bits) {
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// Trace((stderr,"code %d bits %d->%d\n", m, tree[m].Len, bits));
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s.opt_len += (bits - tree[m * 2 + 1] /*.Len*/) * tree[m * 2] /*.Freq*/;
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tree[m * 2 + 1] /*.Len*/ = bits;
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}
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n--;
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}
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}
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}
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/* ===========================================================================
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* Generate the codes for a given tree and bit counts (which need not be
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* optimal).
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* IN assertion: the array bl_count contains the bit length statistics for
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* the given tree and the field len is set for all tree elements.
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* OUT assertion: the field code is set for all tree elements of non
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* zero code length.
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*/
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function gen_codes(tree: any, max_code: any, bl_count: any) {
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let next_code = new Array(
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MAX_BITS + 1,
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); /* next code value for each bit length */
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let code = 0; /* running code value */
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let bits; /* bit index */
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let n; /* code index */
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/* The distribution counts are first used to generate the code values
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* without bit reversal.
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*/
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for (bits = 1; bits <= MAX_BITS; bits++) {
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next_code[bits] = code = (code + bl_count[bits - 1]) << 1;
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}
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/* Check that the bit counts in bl_count are consistent. The last code
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* must be all ones.
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*/
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//Assert (code + bl_count[MAX_BITS]-1 == (1<<MAX_BITS)-1,
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// "inconsistent bit counts");
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//Tracev((stderr,"\ngen_codes: max_code %d ", max_code));
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for (n = 0; n <= max_code; n++) {
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let len = tree[n * 2 + 1] /*.Len*/;
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if (len === 0) continue;
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/* Now reverse the bits */
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tree[n * 2] /*.Code*/ = bi_reverse(next_code[len]++, len);
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//Tracecv(tree != static_ltree, (stderr,"\nn %3d %c l %2d c %4x (%x) ",
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// n, (isgraph(n) ? n : ' '), len, tree[n].Code, next_code[len]-1));
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}
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}
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/* ===========================================================================
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* Initialize the various 'constant' tables.
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*/
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function tr_static_init() {
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let n; /* iterates over tree elements */
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let bits; /* bit counter */
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let length; /* length value */
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let code; /* code value */
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let dist; /* distance index */
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let bl_count = new Array(MAX_BITS + 1);
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/* number of codes at each bit length for an optimal tree */
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// do check in _tr_init()
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//if (static_init_done) return;
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/* For some embedded targets, global variables are not initialized: */
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/*#ifdef NO_INIT_GLOBAL_POINTERS
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static_l_desc.static_tree = static_ltree;
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static_l_desc.extra_bits = extra_lbits;
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static_d_desc.static_tree = static_dtree;
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static_d_desc.extra_bits = extra_dbits;
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static_bl_desc.extra_bits = extra_blbits;
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#endif*/
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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++] = code;
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}
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}
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//Assert (length == 256, "tr_static_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] = code;
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|
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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++] = code;
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}
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}
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//Assert (dist == 256, "tr_static_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++] = code;
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}
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}
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//Assert (dist == 256, "tr_static_init: 256+dist != 512");
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|
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/* Construct the codes of the static literal tree */
|
|
for (bits = 0; bits <= MAX_BITS; bits++) {
|
|
bl_count[bits] = 0;
|
|
}
|
|
|
|
n = 0;
|
|
while (n <= 143) {
|
|
static_ltree[n * 2 + 1] /*.Len*/ = 8;
|
|
n++;
|
|
bl_count[8]++;
|
|
}
|
|
while (n <= 255) {
|
|
static_ltree[n * 2 + 1] /*.Len*/ = 9;
|
|
n++;
|
|
bl_count[9]++;
|
|
}
|
|
while (n <= 279) {
|
|
static_ltree[n * 2 + 1] /*.Len*/ = 7;
|
|
n++;
|
|
bl_count[7]++;
|
|
}
|
|
while (n <= 287) {
|
|
static_ltree[n * 2 + 1] /*.Len*/ = 8;
|
|
n++;
|
|
bl_count[8]++;
|
|
}
|
|
/* Codes 286 and 287 do not exist, but we must include them in the
|
|
* tree construction to get a canonical Huffman tree (longest code
|
|
* all ones)
|
|
*/
|
|
gen_codes(static_ltree, L_CODES + 1, bl_count);
|
|
|
|
/* The static distance tree is trivial: */
|
|
for (n = 0; n < D_CODES; n++) {
|
|
static_dtree[n * 2 + 1] /*.Len*/ = 5;
|
|
static_dtree[n * 2] /*.Code*/ = bi_reverse(n, 5);
|
|
}
|
|
|
|
// Now data ready and we can init static trees
|
|
static_l_desc = new StaticTreeDesc(
|
|
static_ltree,
|
|
extra_lbits,
|
|
LITERALS + 1,
|
|
L_CODES,
|
|
MAX_BITS,
|
|
);
|
|
static_d_desc = new StaticTreeDesc(
|
|
static_dtree,
|
|
extra_dbits,
|
|
0,
|
|
D_CODES,
|
|
MAX_BITS,
|
|
);
|
|
static_bl_desc = new StaticTreeDesc(
|
|
new Array(0),
|
|
extra_blbits,
|
|
0,
|
|
BL_CODES,
|
|
MAX_BL_BITS,
|
|
);
|
|
|
|
//static_init_done = true;
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Initialize a new block.
|
|
*/
|
|
function init_block(s: any) {
|
|
let n; /* iterates over tree elements */
|
|
|
|
/* Initialize the trees. */
|
|
for (n = 0; n < L_CODES; n++) s.dyn_ltree[n * 2] /*.Freq*/ = 0;
|
|
for (n = 0; n < D_CODES; n++) s.dyn_dtree[n * 2] /*.Freq*/ = 0;
|
|
for (n = 0; n < BL_CODES; n++) s.bl_tree[n * 2] /*.Freq*/ = 0;
|
|
|
|
s.dyn_ltree[END_BLOCK * 2] /*.Freq*/ = 1;
|
|
s.opt_len = s.static_len = 0;
|
|
s.last_lit = s.matches = 0;
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Flush the bit buffer and align the output on a byte boundary
|
|
*/
|
|
function bi_windup(s: any) {
|
|
if (s.bi_valid > 8) {
|
|
put_short(s, s.bi_buf);
|
|
} else if (s.bi_valid > 0) {
|
|
//put_byte(s, (Byte)s->bi_buf);
|
|
s.pending_buf[s.pending++] = s.bi_buf;
|
|
}
|
|
s.bi_buf = 0;
|
|
s.bi_valid = 0;
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Copy a stored block, storing first the length and its
|
|
* one's complement if requested.
|
|
*/
|
|
function copy_block(s: any, buf: any, len: any, header: any) {
|
|
bi_windup(s); /* align on byte boundary */
|
|
|
|
if (header) {
|
|
put_short(s, len);
|
|
put_short(s, ~len);
|
|
}
|
|
// while (len--) {
|
|
// put_byte(s, *buf++);
|
|
// }
|
|
s.pending_buf.set(s.window.subarray(buf, buf + len), s.pending);
|
|
s.pending += len;
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Compares to subtrees, using the tree depth as tie breaker when
|
|
* the subtrees have equal frequency. This minimizes the worst case length.
|
|
*/
|
|
function smaller(tree: any, n: any, m: any, depth: any) {
|
|
let _n2 = n * 2;
|
|
let _m2 = m * 2;
|
|
return (tree[_n2] /*.Freq*/ < tree[_m2] /*.Freq*/ ||
|
|
(tree[_n2] /*.Freq*/ === tree[_m2] /*.Freq*/ && depth[n] <= depth[m]));
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Restore the heap property by moving down the tree starting at node k,
|
|
* exchanging a node with the smallest of its two sons if necessary, stopping
|
|
* when the heap property is re-established (each father smaller than its
|
|
* two sons).
|
|
*/
|
|
function pqdownheap(s: any, tree: any, k: any) // deflate_state *s;
|
|
// ct_data *tree; /* the tree to restore */
|
|
// int k; /* node to move down */
|
|
{
|
|
let v = s.heap[k];
|
|
let j = k << 1; /* left son of k */
|
|
while (j <= s.heap_len) {
|
|
/* Set j to the smallest of the two sons: */
|
|
if (
|
|
j < s.heap_len &&
|
|
smaller(tree, s.heap[j + 1], s.heap[j], s.depth)
|
|
) {
|
|
j++;
|
|
}
|
|
/* Exit if v is smaller than both sons */
|
|
if (smaller(tree, v, s.heap[j], s.depth)) break;
|
|
|
|
/* Exchange v with the smallest son */
|
|
s.heap[k] = s.heap[j];
|
|
k = j;
|
|
|
|
/* And continue down the tree, setting j to the left son of k */
|
|
j <<= 1;
|
|
}
|
|
s.heap[k] = v;
|
|
}
|
|
|
|
// inlined manually
|
|
// let SMALLEST = 1;
|
|
|
|
/* ===========================================================================
|
|
* Send the block data compressed using the given Huffman trees
|
|
*/
|
|
function compress_block(s: any, ltree: any, dtree: any) {
|
|
let dist; /* distance of matched string */
|
|
let lc; /* match length or unmatched char (if dist == 0) */
|
|
let lx = 0; /* running index in l_buf */
|
|
let code; /* the code to send */
|
|
let extra; /* number of extra bits to send */
|
|
|
|
if (s.last_lit !== 0) {
|
|
do {
|
|
dist = (s.pending_buf[s.d_buf + lx * 2] << 8) |
|
|
(s.pending_buf[s.d_buf + lx * 2 + 1]);
|
|
lc = s.pending_buf[s.l_buf + lx];
|
|
lx++;
|
|
|
|
if (dist === 0) {
|
|
send_code(s, 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(s, code + LITERALS + 1, ltree); /* send the length code */
|
|
extra = extra_lbits[code];
|
|
if (extra !== 0) {
|
|
lc -= base_length[code];
|
|
send_bits(s, lc, extra); /* send the extra length bits */
|
|
}
|
|
dist--; /* dist is now the match distance - 1 */
|
|
code = d_code(dist);
|
|
//Assert (code < D_CODES, "bad d_code");
|
|
|
|
send_code(s, code, dtree); /* send the distance code */
|
|
extra = extra_dbits[code];
|
|
if (extra !== 0) {
|
|
dist -= base_dist[code];
|
|
send_bits(s, dist, extra); /* send the extra distance bits */
|
|
}
|
|
} /* literal or match pair ? */
|
|
|
|
/* Check that the overlay between pending_buf and d_buf+l_buf is ok: */
|
|
//Assert((uInt)(s->pending) < s->lit_bufsize + 2*lx,
|
|
// "pendingBuf overflow");
|
|
} while (lx < s.last_lit);
|
|
}
|
|
|
|
send_code(s, END_BLOCK, ltree);
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* 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.
|
|
*/
|
|
function build_tree(s: any, desc: any) {
|
|
let tree = desc.dyn_tree;
|
|
let stree = desc.stat_desc.static_tree;
|
|
let has_stree = desc.stat_desc.has_stree;
|
|
let elems = desc.stat_desc.elems;
|
|
let n, m; /* iterate over heap elements */
|
|
let max_code = -1; /* largest code with non zero frequency */
|
|
let node; /* new node being created */
|
|
|
|
/* 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.
|
|
*/
|
|
s.heap_len = 0;
|
|
s.heap_max = HEAP_SIZE;
|
|
|
|
for (n = 0; n < elems; n++) {
|
|
if (tree[n * 2] /*.Freq*/ !== 0) {
|
|
s.heap[++s.heap_len] = max_code = n;
|
|
s.depth[n] = 0;
|
|
} else {
|
|
tree[n * 2 + 1] /*.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 (s.heap_len < 2) {
|
|
node = s.heap[++s.heap_len] = (max_code < 2 ? ++max_code : 0);
|
|
tree[node * 2] /*.Freq*/ = 1;
|
|
s.depth[node] = 0;
|
|
s.opt_len--;
|
|
|
|
if (has_stree) {
|
|
s.static_len -= stree[node * 2 + 1] /*.Len*/;
|
|
}
|
|
/* node 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 = (s.heap_len >> 1 /*int /2*/); n >= 1; n--) pqdownheap(s, tree, n);
|
|
|
|
/* Construct the Huffman tree by repeatedly combining the least two
|
|
* frequent nodes.
|
|
*/
|
|
node = elems; /* next internal node of the tree */
|
|
do {
|
|
//pqremove(s, tree, n); /* n = node of least frequency */
|
|
/*** pqremove ***/
|
|
n = s.heap[1/*SMALLEST*/
|
|
];
|
|
s.heap[1/*SMALLEST*/
|
|
] = s.heap[s.heap_len--];
|
|
pqdownheap(s, tree, 1 /*SMALLEST*/);
|
|
/***/
|
|
|
|
m = s.heap[1/*SMALLEST*/
|
|
]; /* m = node of next least frequency */
|
|
|
|
s.heap[--s.heap_max] = n; /* keep the nodes sorted by frequency */
|
|
s.heap[--s.heap_max] = m;
|
|
|
|
/* Create a new node father of n and m */
|
|
tree[node * 2] /*.Freq*/ = tree[n * 2] /*.Freq*/ + tree[m * 2] /*.Freq*/;
|
|
s.depth[node] = (s.depth[n] >= s.depth[m] ? s.depth[n] : s.depth[m]) + 1;
|
|
tree[n * 2 + 1] /*.Dad*/ = tree[m * 2 + 1] /*.Dad*/ = node;
|
|
|
|
/* and insert the new node in the heap */
|
|
s.heap[1/*SMALLEST*/
|
|
] = node++;
|
|
pqdownheap(s, tree, 1 /*SMALLEST*/);
|
|
} while (s.heap_len >= 2);
|
|
|
|
s.heap[--s.heap_max] = s.heap[1/*SMALLEST*/
|
|
];
|
|
|
|
/* At this point, the fields freq and dad are set. We can now
|
|
* generate the bit lengths.
|
|
*/
|
|
gen_bitlen(s, desc);
|
|
|
|
/* The field len is now set, we can generate the bit codes */
|
|
gen_codes(tree, max_code, s.bl_count);
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Scan a literal or distance tree to determine the frequencies of the codes
|
|
* in the bit length tree.
|
|
*/
|
|
function scan_tree(s: any, tree: any, max_code: any) {
|
|
let n; /* iterates over all tree elements */
|
|
let prevlen = -1; /* last emitted length */
|
|
let curlen; /* length of current code */
|
|
|
|
let nextlen = tree[0 * 2 + 1] /*.Len*/; /* length of next code */
|
|
|
|
let count = 0; /* repeat count of the current code */
|
|
let max_count = 7; /* max repeat count */
|
|
let min_count = 4; /* min repeat count */
|
|
|
|
if (nextlen === 0) {
|
|
max_count = 138;
|
|
min_count = 3;
|
|
}
|
|
tree[(max_code + 1) * 2 + 1] /*.Len*/ = 0xffff; /* guard */
|
|
|
|
for (n = 0; n <= max_code; n++) {
|
|
curlen = nextlen;
|
|
nextlen = tree[(n + 1) * 2 + 1] /*.Len*/;
|
|
|
|
if (++count < max_count && curlen === nextlen) {
|
|
continue;
|
|
} else if (count < min_count) {
|
|
s.bl_tree[curlen * 2] /*.Freq*/ += count;
|
|
} else if (curlen !== 0) {
|
|
if (curlen !== prevlen) s.bl_tree[curlen * 2] /*.Freq*/++;
|
|
s.bl_tree[REP_3_6 * 2] /*.Freq*/++;
|
|
} else if (count <= 10) {
|
|
s.bl_tree[REPZ_3_10 * 2] /*.Freq*/++;
|
|
} else {
|
|
s.bl_tree[REPZ_11_138 * 2] /*.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.
|
|
*/
|
|
function send_tree(s: any, tree: any, max_code: any) {
|
|
let n; /* iterates over all tree elements */
|
|
let prevlen = -1; /* last emitted length */
|
|
let curlen; /* length of current code */
|
|
|
|
let nextlen = tree[0 * 2 + 1] /*.Len*/; /* length of next code */
|
|
|
|
let count = 0; /* repeat count of the current code */
|
|
let max_count = 7; /* max repeat count */
|
|
let 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) * 2 + 1] /*.Len*/;
|
|
|
|
if (++count < max_count && curlen === nextlen) {
|
|
continue;
|
|
} else if (count < min_count) {
|
|
do {
|
|
send_code(s, curlen, s.bl_tree);
|
|
} while (--count !== 0);
|
|
} else if (curlen !== 0) {
|
|
if (curlen !== prevlen) {
|
|
send_code(s, curlen, s.bl_tree);
|
|
count--;
|
|
}
|
|
//Assert(count >= 3 && count <= 6, " 3_6?");
|
|
send_code(s, REP_3_6, s.bl_tree);
|
|
send_bits(s, count - 3, 2);
|
|
} else if (count <= 10) {
|
|
send_code(s, REPZ_3_10, s.bl_tree);
|
|
send_bits(s, count - 3, 3);
|
|
} else {
|
|
send_code(s, REPZ_11_138, s.bl_tree);
|
|
send_bits(s, 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.
|
|
*/
|
|
function build_bl_tree(s: any) {
|
|
let max_blindex; /* index of last bit length code of non zero freq */
|
|
|
|
/* Determine the bit length frequencies for literal and distance trees */
|
|
scan_tree(s, s.dyn_ltree, s.l_desc.max_code);
|
|
scan_tree(s, s.dyn_dtree, s.d_desc.max_code);
|
|
|
|
/* Build the bit length tree: */
|
|
build_tree(s, s.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 (s.bl_tree[bl_order[max_blindex] * 2 + 1] /*.Len*/ !== 0) {
|
|
break;
|
|
}
|
|
}
|
|
/* Update opt_len to include the bit length tree and counts */
|
|
s.opt_len += 3 * (max_blindex + 1) + 5 + 5 + 4;
|
|
//Tracev((stderr, "\ndyn trees: dyn %ld, stat %ld",
|
|
// s->opt_len, s->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.
|
|
*/
|
|
function send_all_trees(s: any, lcodes: any, dcodes: any, blcodes: any) {
|
|
let 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(s, lcodes - 257, 5); /* not +255 as stated in appnote.txt */
|
|
send_bits(s, dcodes - 1, 5);
|
|
send_bits(s, 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(s, s.bl_tree[bl_order[rank] * 2 + 1], /*.Len*/ 3);
|
|
}
|
|
//Tracev((stderr, "\nbl tree: sent %ld", s->bits_sent));
|
|
|
|
send_tree(s, s.dyn_ltree, lcodes - 1); /* literal tree */
|
|
//Tracev((stderr, "\nlit tree: sent %ld", s->bits_sent));
|
|
|
|
send_tree(s, s.dyn_dtree, dcodes - 1); /* distance tree */
|
|
//Tracev((stderr, "\ndist tree: sent %ld", s->bits_sent));
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Check if the data type is TEXT or BINARY, using the following algorithm:
|
|
* - TEXT if the two conditions below are satisfied:
|
|
* a) There are no non-portable control characters belonging to the
|
|
* "black list" (0..6, 14..25, 28..31).
|
|
* b) There is at least one printable character belonging to the
|
|
* "white list" (9 {TAB}, 10 {LF}, 13 {CR}, 32..255).
|
|
* - BINARY otherwise.
|
|
* - The following partially-portable control characters form a
|
|
* "gray list" that is ignored in this detection algorithm:
|
|
* (7 {BEL}, 8 {BS}, 11 {VT}, 12 {FF}, 26 {SUB}, 27 {ESC}).
|
|
* IN assertion: the fields Freq of dyn_ltree are set.
|
|
*/
|
|
function detect_data_type(s: any) {
|
|
/* black_mask is the bit mask of black-listed bytes
|
|
* set bits 0..6, 14..25, and 28..31
|
|
* 0xf3ffc07f = binary 11110011111111111100000001111111
|
|
*/
|
|
let black_mask = 0xf3ffc07f;
|
|
let n;
|
|
|
|
/* Check for non-textual ("black-listed") bytes. */
|
|
for (n = 0; n <= 31; n++, black_mask >>>= 1) {
|
|
if ((black_mask & 1) && (s.dyn_ltree[n * 2] /*.Freq*/ !== 0)) {
|
|
return Z_BINARY;
|
|
}
|
|
}
|
|
|
|
/* Check for textual ("white-listed") bytes. */
|
|
if (
|
|
s.dyn_ltree[9 * 2] /*.Freq*/ !== 0 ||
|
|
s.dyn_ltree[10 * 2] /*.Freq*/ !== 0 ||
|
|
s.dyn_ltree[13 * 2] /*.Freq*/ !== 0
|
|
) {
|
|
return Z_TEXT;
|
|
}
|
|
for (n = 32; n < LITERALS; n++) {
|
|
if (s.dyn_ltree[n * 2] /*.Freq*/ !== 0) {
|
|
return Z_TEXT;
|
|
}
|
|
}
|
|
|
|
/* There are no "black-listed" or "white-listed" bytes:
|
|
* this stream either is empty or has tolerated ("gray-listed") bytes only.
|
|
*/
|
|
return Z_BINARY;
|
|
}
|
|
|
|
let static_init_done = false;
|
|
|
|
/* ===========================================================================
|
|
* Initialize the tree data structures for a new zlib stream.
|
|
*/
|
|
export function _tr_init(s: any) {
|
|
if (!static_init_done) {
|
|
tr_static_init();
|
|
static_init_done = true;
|
|
}
|
|
|
|
s.l_desc = new TreeDesc(s.dyn_ltree, static_l_desc);
|
|
s.d_desc = new TreeDesc(s.dyn_dtree, static_d_desc);
|
|
s.bl_desc = new TreeDesc(s.bl_tree, static_bl_desc);
|
|
|
|
s.bi_buf = 0;
|
|
s.bi_valid = 0;
|
|
|
|
/* Initialize the first block of the first file: */
|
|
init_block(s);
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Send a stored block
|
|
*/
|
|
export function _tr_stored_block(s: any, buf: any, stored_len: any, last: any) //DeflateState *s;
|
|
//charf *buf; /* input block */
|
|
//ulg stored_len; /* length of input block */
|
|
//int last; /* one if this is the last block for a file */
|
|
{
|
|
send_bits(s, (STORED_BLOCK << 1) + (last ? 1 : 0), 3); /* send block type */
|
|
copy_block(s, buf, stored_len, true); /* with header */
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Send one empty static block to give enough lookahead for inflate.
|
|
* This takes 10 bits, of which 7 may remain in the bit buffer.
|
|
*/
|
|
export function _tr_align(s: any) {
|
|
send_bits(s, STATIC_TREES << 1, 3);
|
|
send_code(s, END_BLOCK, static_ltree);
|
|
bi_flush(s);
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Determine the best encoding for the current block: dynamic trees, static
|
|
* trees or store, and output the encoded block to the zip file.
|
|
*/
|
|
export function _tr_flush_block(s: any, buf: any, stored_len: any, last: any) {
|
|
let opt_lenb, static_lenb; /* opt_len and static_len in bytes */
|
|
let max_blindex = 0; /* index of last bit length code of non zero freq */
|
|
|
|
/* Build the Huffman trees unless a stored block is forced */
|
|
if (s.level > 0) {
|
|
/* Check if the file is binary or text */
|
|
if (s.strm.data_type === Z_UNKNOWN) {
|
|
s.strm.data_type = detect_data_type(s);
|
|
}
|
|
|
|
/* Construct the literal and distance trees */
|
|
build_tree(s, s.l_desc);
|
|
// Tracev((stderr, "\nlit data: dyn %ld, stat %ld", s->opt_len,
|
|
// s->static_len));
|
|
|
|
build_tree(s, s.d_desc);
|
|
// Tracev((stderr, "\ndist data: dyn %ld, stat %ld", s->opt_len,
|
|
// s->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(s);
|
|
|
|
/* Determine the best encoding. Compute the block lengths in bytes. */
|
|
opt_lenb = (s.opt_len + 3 + 7) >>> 3;
|
|
static_lenb = (s.static_len + 3 + 7) >>> 3;
|
|
|
|
// Tracev((stderr, "\nopt %lu(%lu) stat %lu(%lu) stored %lu lit %u ",
|
|
// opt_lenb, s->opt_len, static_lenb, s->static_len, stored_len,
|
|
// s->last_lit));
|
|
|
|
if (static_lenb <= opt_lenb) opt_lenb = static_lenb;
|
|
} else {
|
|
// Assert(buf != (char*)0, "lost buf");
|
|
opt_lenb = static_lenb = stored_len + 5; /* force a stored block */
|
|
}
|
|
|
|
if ((stored_len + 4 <= opt_lenb) && (buf !== -1)) {
|
|
/* 4: two words for the lengths */
|
|
|
|
/* 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.
|
|
*/
|
|
_tr_stored_block(s, buf, stored_len, last);
|
|
} else if (s.strategy === Z_FIXED || static_lenb === opt_lenb) {
|
|
send_bits(s, (STATIC_TREES << 1) + (last ? 1 : 0), 3);
|
|
compress_block(s, static_ltree, static_dtree);
|
|
} else {
|
|
send_bits(s, (DYN_TREES << 1) + (last ? 1 : 0), 3);
|
|
send_all_trees(
|
|
s,
|
|
s.l_desc.max_code + 1,
|
|
s.d_desc.max_code + 1,
|
|
max_blindex + 1,
|
|
);
|
|
compress_block(s, s.dyn_ltree, s.dyn_dtree);
|
|
}
|
|
// Assert (s->compressed_len == s->bits_sent, "bad compressed size");
|
|
/* The above check is made mod 2^32, for files larger than 512 MB
|
|
* and uLong implemented on 32 bits.
|
|
*/
|
|
init_block(s);
|
|
|
|
if (last) {
|
|
bi_windup(s);
|
|
}
|
|
// Tracev((stderr,"\ncomprlen %lu(%lu) ", s->compressed_len>>3,
|
|
// s->compressed_len-7*last));
|
|
}
|
|
|
|
/* ===========================================================================
|
|
* Save the match info and tally the frequency counts. Return true if
|
|
* the current block must be flushed.
|
|
*/
|
|
export function _tr_tally(s: any, dist: any, lc: any) {
|
|
//let out_length, in_length, dcode;
|
|
|
|
s.pending_buf[s.d_buf + s.last_lit * 2] = (dist >>> 8) & 0xff;
|
|
s.pending_buf[s.d_buf + s.last_lit * 2 + 1] = dist & 0xff;
|
|
|
|
s.pending_buf[s.l_buf + s.last_lit] = lc & 0xff;
|
|
s.last_lit++;
|
|
|
|
if (dist === 0) {
|
|
/* lc is the unmatched char */
|
|
s.dyn_ltree[lc * 2] /*.Freq*/++;
|
|
} else {
|
|
s.matches++;
|
|
/* Here, lc is the match length - MIN_MATCH */
|
|
dist--; /* dist = match distance - 1 */
|
|
//Assert((ush)dist < (ush)MAX_DIST(s) &&
|
|
// (ush)lc <= (ush)(MAX_MATCH-MIN_MATCH) &&
|
|
// (ush)d_code(dist) < (ush)D_CODES, "_tr_tally: bad match");
|
|
|
|
s.dyn_ltree[(_length_code[lc] + LITERALS + 1) * 2] /*.Freq*/++;
|
|
s.dyn_dtree[d_code(dist) * 2] /*.Freq*/++;
|
|
}
|
|
|
|
// (!) This block is disabled in zlib defaults,
|
|
// don't enable it for binary compatibility
|
|
|
|
//#ifdef TRUNCATE_BLOCK
|
|
// /* Try to guess if it is profitable to stop the current block here */
|
|
// if ((s.last_lit & 0x1fff) === 0 && s.level > 2) {
|
|
// /* Compute an upper bound for the compressed length */
|
|
// out_length = s.last_lit*8;
|
|
// in_length = s.strstart - s.block_start;
|
|
//
|
|
// for (dcode = 0; dcode < D_CODES; dcode++) {
|
|
// out_length += s.dyn_dtree[dcode*2]/*.Freq*/ * (5 + extra_dbits[dcode]);
|
|
// }
|
|
// out_length >>>= 3;
|
|
// //Tracev((stderr,"\nlast_lit %u, in %ld, out ~%ld(%ld%%) ",
|
|
// // s->last_lit, in_length, out_length,
|
|
// // 100L - out_length*100L/in_length));
|
|
// if (s.matches < (s.last_lit>>1)/*int /2*/ && out_length < (in_length>>1)/*int /2*/) {
|
|
// return true;
|
|
// }
|
|
// }
|
|
//#endif
|
|
|
|
return (s.last_lit === s.lit_bufsize - 1);
|
|
/* 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.
|
|
*/
|
|
}
|