| // Copyright 2011 The Go Authors. All rights reserved. | |
| // Use of this source code is governed by a BSD-style | |
| // license that can be found in the LICENSE file. | |
| package bzip2 | |
| import ( | |
| "cmp" | |
| "slices" | |
| ) | |
| // A huffmanTree is a binary tree which is navigated, bit-by-bit to reach a | |
| // symbol. | |
| type huffmanTree struct { | |
| // nodes contains all the non-leaf nodes in the tree. nodes[0] is the | |
| // root of the tree and nextNode contains the index of the next element | |
| // of nodes to use when the tree is being constructed. | |
| nodes []huffmanNode | |
| nextNode int | |
| } | |
| // A huffmanNode is a node in the tree. left and right contain indexes into the | |
| // nodes slice of the tree. If left or right is invalidNodeValue then the child | |
| // is a left node and its value is in leftValue/rightValue. | |
| // | |
| // The symbols are uint16s because bzip2 encodes not only MTF indexes in the | |
| // tree, but also two magic values for run-length encoding and an EOF symbol. | |
| // Thus there are more than 256 possible symbols. | |
| type huffmanNode struct { | |
| left, right uint16 | |
| leftValue, rightValue uint16 | |
| } | |
| // invalidNodeValue is an invalid index which marks a leaf node in the tree. | |
| const invalidNodeValue = 0xffff | |
| // Decode reads bits from the given bitReader and navigates the tree until a | |
| // symbol is found. | |
| func (t *huffmanTree) Decode(br *bitReader) (v uint16) { | |
| nodeIndex := uint16(0) // node 0 is the root of the tree. | |
| for { | |
| node := &t.nodes[nodeIndex] | |
| var bit uint16 | |
| if br.bits > 0 { | |
| // Get next bit - fast path. | |
| br.bits-- | |
| bit = uint16(br.n>>(br.bits&63)) & 1 | |
| } else { | |
| // Get next bit - slow path. | |
| // Use ReadBits to retrieve a single bit | |
| // from the underling io.ByteReader. | |
| bit = uint16(br.ReadBits(1)) | |
| } | |
| // Trick a compiler into generating conditional move instead of branch, | |
| // by making both loads unconditional. | |
| l, r := node.left, node.right | |
| if bit == 1 { | |
| nodeIndex = l | |
| } else { | |
| nodeIndex = r | |
| } | |
| if nodeIndex == invalidNodeValue { | |
| // We found a leaf. Use the value of bit to decide | |
| // whether is a left or a right value. | |
| l, r := node.leftValue, node.rightValue | |
| if bit == 1 { | |
| v = l | |
| } else { | |
| v = r | |
| } | |
| return | |
| } | |
| } | |
| } | |
| // newHuffmanTree builds a Huffman tree from a slice containing the code | |
| // lengths of each symbol. The maximum code length is 32 bits. | |
| func newHuffmanTree(lengths []uint8) (huffmanTree, error) { | |
| // There are many possible trees that assign the same code length to | |
| // each symbol (consider reflecting a tree down the middle, for | |
| // example). Since the code length assignments determine the | |
| // efficiency of the tree, each of these trees is equally good. In | |
| // order to minimize the amount of information needed to build a tree | |
| // bzip2 uses a canonical tree so that it can be reconstructed given | |
| // only the code length assignments. | |
| if len(lengths) < 2 { | |
| panic("newHuffmanTree: too few symbols") | |
| } | |
| var t huffmanTree | |
| // First we sort the code length assignments by ascending code length, | |
| // using the symbol value to break ties. | |
| pairs := make([]huffmanSymbolLengthPair, len(lengths)) | |
| for i, length := range lengths { | |
| pairs[i].value = uint16(i) | |
| pairs[i].length = length | |
| } | |
| slices.SortFunc(pairs, func(a, b huffmanSymbolLengthPair) int { | |
| if c := cmp.Compare(a.length, b.length); c != 0 { | |
| return c | |
| } | |
| return cmp.Compare(a.value, b.value) | |
| }) | |
| // Now we assign codes to the symbols, starting with the longest code. | |
| // We keep the codes packed into a uint32, at the most-significant end. | |
| // So branches are taken from the MSB downwards. This makes it easy to | |
| // sort them later. | |
| code := uint32(0) | |
| length := uint8(32) | |
| codes := make([]huffmanCode, len(lengths)) | |
| for i := len(pairs) - 1; i >= 0; i-- { | |
| if length > pairs[i].length { | |
| length = pairs[i].length | |
| } | |
| codes[i].code = code | |
| codes[i].codeLen = length | |
| codes[i].value = pairs[i].value | |
| // We need to 'increment' the code, which means treating |code| | |
| // like a |length| bit number. | |
| code += 1 << (32 - length) | |
| } | |
| // Now we can sort by the code so that the left half of each branch are | |
| // grouped together, recursively. | |
| slices.SortFunc(codes, func(a, b huffmanCode) int { | |
| return cmp.Compare(a.code, b.code) | |
| }) | |
| t.nodes = make([]huffmanNode, len(codes)) | |
| _, err := buildHuffmanNode(&t, codes, 0) | |
| return t, err | |
| } | |
| // huffmanSymbolLengthPair contains a symbol and its code length. | |
| type huffmanSymbolLengthPair struct { | |
| value uint16 | |
| length uint8 | |
| } | |
| // huffmanCode contains a symbol, its code and code length. | |
| type huffmanCode struct { | |
| code uint32 | |
| codeLen uint8 | |
| value uint16 | |
| } | |
| // buildHuffmanNode takes a slice of sorted huffmanCodes and builds a node in | |
| // the Huffman tree at the given level. It returns the index of the newly | |
| // constructed node. | |
| func buildHuffmanNode(t *huffmanTree, codes []huffmanCode, level uint32) (nodeIndex uint16, err error) { | |
| test := uint32(1) << (31 - level) | |
| // We have to search the list of codes to find the divide between the left and right sides. | |
| firstRightIndex := len(codes) | |
| for i, code := range codes { | |
| if code.code&test != 0 { | |
| firstRightIndex = i | |
| break | |
| } | |
| } | |
| left := codes[:firstRightIndex] | |
| right := codes[firstRightIndex:] | |
| if len(left) == 0 || len(right) == 0 { | |
| // There is a superfluous level in the Huffman tree indicating | |
| // a bug in the encoder. However, this bug has been observed in | |
| // the wild so we handle it. | |
| // If this function was called recursively then we know that | |
| // len(codes) >= 2 because, otherwise, we would have hit the | |
| // "leaf node" case, below, and not recurred. | |
| // | |
| // However, for the initial call it's possible that len(codes) | |
| // is zero or one. Both cases are invalid because a zero length | |
| // tree cannot encode anything and a length-1 tree can only | |
| // encode EOF and so is superfluous. We reject both. | |
| if len(codes) < 2 { | |
| return 0, StructuralError("empty Huffman tree") | |
| } | |
| // In this case the recursion doesn't always reduce the length | |
| // of codes so we need to ensure termination via another | |
| // mechanism. | |
| if level == 31 { | |
| // Since len(codes) >= 2 the only way that the values | |
| // can match at all 32 bits is if they are equal, which | |
| // is invalid. This ensures that we never enter | |
| // infinite recursion. | |
| return 0, StructuralError("equal symbols in Huffman tree") | |
| } | |
| if len(left) == 0 { | |
| return buildHuffmanNode(t, right, level+1) | |
| } | |
| return buildHuffmanNode(t, left, level+1) | |
| } | |
| nodeIndex = uint16(t.nextNode) | |
| node := &t.nodes[t.nextNode] | |
| t.nextNode++ | |
| if len(left) == 1 { | |
| // leaf node | |
| node.left = invalidNodeValue | |
| node.leftValue = left[0].value | |
| } else { | |
| node.left, err = buildHuffmanNode(t, left, level+1) | |
| } | |
| if err != nil { | |
| return | |
| } | |
| if len(right) == 1 { | |
| // leaf node | |
| node.right = invalidNodeValue | |
| node.rightValue = right[0].value | |
| } else { | |
| node.right, err = buildHuffmanNode(t, right, level+1) | |
| } | |
| return | |
| } | |