Author | Tokens | Token Proportion | Commits | Commit Proportion |
---|---|---|---|---|
Konstantin Komarov | 645 | 99.69% | 1 | 33.33% |
Colin Ian King | 1 | 0.15% | 1 | 33.33% |
Kari Argillander | 1 | 0.15% | 1 | 33.33% |
Total | 647 | 3 |
// SPDX-License-Identifier: GPL-2.0-or-later /* * decompress_common.c - Code shared by the XPRESS and LZX decompressors * * Copyright (C) 2015 Eric Biggers */ #include "decompress_common.h" /* * make_huffman_decode_table() - * * Build a decoding table for a canonical prefix code, or "Huffman code". * * This is an internal function, not part of the library API! * * This takes as input the length of the codeword for each symbol in the * alphabet and produces as output a table that can be used for fast * decoding of prefix-encoded symbols using read_huffsym(). * * Strictly speaking, a canonical prefix code might not be a Huffman * code. But this algorithm will work either way; and in fact, since * Huffman codes are defined in terms of symbol frequencies, there is no * way for the decompressor to know whether the code is a true Huffman * code or not until all symbols have been decoded. * * Because the prefix code is assumed to be "canonical", it can be * reconstructed directly from the codeword lengths. A prefix code is * canonical if and only if a longer codeword never lexicographically * precedes a shorter codeword, and the lexicographic ordering of * codewords of the same length is the same as the lexicographic ordering * of the corresponding symbols. Consequently, we can sort the symbols * primarily by codeword length and secondarily by symbol value, then * reconstruct the prefix code by generating codewords lexicographically * in that order. * * This function does not, however, generate the prefix code explicitly. * Instead, it directly builds a table for decoding symbols using the * code. The basic idea is this: given the next 'max_codeword_len' bits * in the input, we can look up the decoded symbol by indexing a table * containing 2**max_codeword_len entries. A codeword with length * 'max_codeword_len' will have exactly one entry in this table, whereas * a codeword shorter than 'max_codeword_len' will have multiple entries * in this table. Precisely, a codeword of length n will be represented * by 2**(max_codeword_len - n) entries in this table. The 0-based index * of each such entry will contain the corresponding codeword as a prefix * when zero-padded on the left to 'max_codeword_len' binary digits. * * That's the basic idea, but we implement two optimizations regarding * the format of the decode table itself: * * - For many compression formats, the maximum codeword length is too * long for it to be efficient to build the full decoding table * whenever a new prefix code is used. Instead, we can build the table * using only 2**table_bits entries, where 'table_bits' is some number * less than or equal to 'max_codeword_len'. Then, only codewords of * length 'table_bits' and shorter can be directly looked up. For * longer codewords, the direct lookup instead produces the root of a * binary tree. Using this tree, the decoder can do traditional * bit-by-bit decoding of the remainder of the codeword. Child nodes * are allocated in extra entries at the end of the table; leaf nodes * contain symbols. Note that the long-codeword case is, in general, * not performance critical, since in Huffman codes the most frequently * used symbols are assigned the shortest codeword lengths. * * - When we decode a symbol using a direct lookup of the table, we still * need to know its length so that the bitstream can be advanced by the * appropriate number of bits. The simple solution is to simply retain * the 'lens' array and use the decoded symbol as an index into it. * However, this requires two separate array accesses in the fast path. * The optimization is to store the length directly in the decode * table. We use the bottom 11 bits for the symbol and the top 5 bits * for the length. In addition, to combine this optimization with the * previous one, we introduce a special case where the top 2 bits of * the length are both set if the entry is actually the root of a * binary tree. * * @decode_table: * The array in which to create the decoding table. This must have * a length of at least ((2**table_bits) + 2 * num_syms) entries. * * @num_syms: * The number of symbols in the alphabet; also, the length of the * 'lens' array. Must be less than or equal to 2048. * * @table_bits: * The order of the decode table size, as explained above. Must be * less than or equal to 13. * * @lens: * An array of length @num_syms, indexable by symbol, that gives the * length of the codeword, in bits, for that symbol. The length can * be 0, which means that the symbol does not have a codeword * assigned. * * @max_codeword_len: * The longest codeword length allowed in the compression format. * All entries in 'lens' must be less than or equal to this value. * This must be less than or equal to 23. * * @working_space * A temporary array of length '2 * (max_codeword_len + 1) + * num_syms'. * * Returns 0 on success, or -1 if the lengths do not form a valid prefix * code. */ int make_huffman_decode_table(u16 decode_table[], const u32 num_syms, const u32 table_bits, const u8 lens[], const u32 max_codeword_len, u16 working_space[]) { const u32 table_num_entries = 1 << table_bits; u16 * const len_counts = &working_space[0]; u16 * const offsets = &working_space[1 * (max_codeword_len + 1)]; u16 * const sorted_syms = &working_space[2 * (max_codeword_len + 1)]; int left; void *decode_table_ptr; u32 sym_idx; u32 codeword_len; u32 stores_per_loop; u32 decode_table_pos; u32 len; u32 sym; /* Count how many symbols have each possible codeword length. * Note that a length of 0 indicates the corresponding symbol is not * used in the code and therefore does not have a codeword. */ for (len = 0; len <= max_codeword_len; len++) len_counts[len] = 0; for (sym = 0; sym < num_syms; sym++) len_counts[lens[sym]]++; /* We can assume all lengths are <= max_codeword_len, but we * cannot assume they form a valid prefix code. A codeword of * length n should require a proportion of the codespace equaling * (1/2)^n. The code is valid if and only if the codespace is * exactly filled by the lengths, by this measure. */ left = 1; for (len = 1; len <= max_codeword_len; len++) { left <<= 1; left -= len_counts[len]; if (left < 0) { /* The lengths overflow the codespace; that is, the code * is over-subscribed. */ return -1; } } if (left) { /* The lengths do not fill the codespace; that is, they form an * incomplete set. */ if (left == (1 << max_codeword_len)) { /* The code is completely empty. This is arguably * invalid, but in fact it is valid in LZX and XPRESS, * so we must allow it. By definition, no symbols can * be decoded with an empty code. Consequently, we * technically don't even need to fill in the decode * table. However, to avoid accessing uninitialized * memory if the algorithm nevertheless attempts to * decode symbols using such a code, we zero out the * decode table. */ memset(decode_table, 0, table_num_entries * sizeof(decode_table[0])); return 0; } return -1; } /* Sort the symbols primarily by length and secondarily by symbol order. */ /* Initialize 'offsets' so that offsets[len] for 1 <= len <= * max_codeword_len is the number of codewords shorter than 'len' bits. */ offsets[1] = 0; for (len = 1; len < max_codeword_len; len++) offsets[len + 1] = offsets[len] + len_counts[len]; /* Use the 'offsets' array to sort the symbols. Note that we do not * include symbols that are not used in the code. Consequently, fewer * than 'num_syms' entries in 'sorted_syms' may be filled. */ for (sym = 0; sym < num_syms; sym++) if (lens[sym]) sorted_syms[offsets[lens[sym]]++] = sym; /* Fill entries for codewords with length <= table_bits * --- that is, those short enough for a direct mapping. * * The table will start with entries for the shortest codeword(s), which * have the most entries. From there, the number of entries per * codeword will decrease. */ decode_table_ptr = decode_table; sym_idx = 0; codeword_len = 1; stores_per_loop = (1 << (table_bits - codeword_len)); for (; stores_per_loop != 0; codeword_len++, stores_per_loop >>= 1) { u32 end_sym_idx = sym_idx + len_counts[codeword_len]; for (; sym_idx < end_sym_idx; sym_idx++) { u16 entry; u16 *p; u32 n; entry = ((u32)codeword_len << 11) | sorted_syms[sym_idx]; p = (u16 *)decode_table_ptr; n = stores_per_loop; do { *p++ = entry; } while (--n); decode_table_ptr = p; } } /* If we've filled in the entire table, we are done. Otherwise, * there are codewords longer than table_bits for which we must * generate binary trees. */ decode_table_pos = (u16 *)decode_table_ptr - decode_table; if (decode_table_pos != table_num_entries) { u32 j; u32 next_free_tree_slot; u32 cur_codeword; /* First, zero out the remaining entries. This is * necessary so that these entries appear as * "unallocated" in the next part. Each of these entries * will eventually be filled with the representation of * the root node of a binary tree. */ j = decode_table_pos; do { decode_table[j] = 0; } while (++j != table_num_entries); /* We allocate child nodes starting at the end of the * direct lookup table. Note that there should be * 2*num_syms extra entries for this purpose, although * fewer than this may actually be needed. */ next_free_tree_slot = table_num_entries; /* Iterate through each codeword with length greater than * 'table_bits', primarily in order of codeword length * and secondarily in order of symbol. */ for (cur_codeword = decode_table_pos << 1; codeword_len <= max_codeword_len; codeword_len++, cur_codeword <<= 1) { u32 end_sym_idx = sym_idx + len_counts[codeword_len]; for (; sym_idx < end_sym_idx; sym_idx++, cur_codeword++) { /* 'sorted_sym' is the symbol represented by the * codeword. */ u32 sorted_sym = sorted_syms[sym_idx]; u32 extra_bits = codeword_len - table_bits; u32 node_idx = cur_codeword >> extra_bits; /* Go through each bit of the current codeword * beyond the prefix of length @table_bits and * walk the appropriate binary tree, allocating * any slots that have not yet been allocated. * * Note that the 'pointer' entry to the binary * tree, which is stored in the direct lookup * portion of the table, is represented * identically to other internal (non-leaf) * nodes of the binary tree; it can be thought * of as simply the root of the tree. The * representation of these internal nodes is * simply the index of the left child combined * with the special bits 0xC000 to distinguish * the entry from direct mapping and leaf node * entries. */ do { /* At least one bit remains in the * codeword, but the current node is an * unallocated leaf. Change it to an * internal node. */ if (decode_table[node_idx] == 0) { decode_table[node_idx] = next_free_tree_slot | 0xC000; decode_table[next_free_tree_slot++] = 0; decode_table[next_free_tree_slot++] = 0; } /* Go to the left child if the next bit * in the codeword is 0; otherwise go to * the right child. */ node_idx = decode_table[node_idx] & 0x3FFF; --extra_bits; node_idx += (cur_codeword >> extra_bits) & 1; } while (extra_bits != 0); /* We've traversed the tree using the entire * codeword, and we're now at the entry where * the actual symbol will be stored. This is * distinguished from internal nodes by not * having its high two bits set. */ decode_table[node_idx] = sorted_sym; } } } return 0; }
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