// Copyright (c) 2017 Timofey Solomko // Licensed under MIT License // // See LICENSE for license information import Foundation class DecodingHuffmanTree { private var bitReader: BitReader private var tree: [Int] private let leafCount: Int /// `lengths` don't have to be properly sorted, but there must not be any 0 code lengths. init(lengths: [HuffmanLength], _ bitReader: BitReader) { self.bitReader = bitReader // Sort `lengths` array to calculate canonical Huffman code. let sortedLengths = lengths.sorted() func reverse(bits: Int, in symbol: Int) -> Int { // Auxiliarly function, which generates reversed order of bits in a number. var a = 1 << 0 var b = 1 << (bits - 1) var z = 0 for i in stride(from: bits - 1, to: -1, by: -2) { z |= (symbol >> i) & a z |= (symbol << i) & b a <<= 1 b >>= 1 } return z } // Calculate maximum amount of leaves possible in a tree. self.leafCount = 1 << (sortedLengths.last!.codeLength + 1) self.tree = Array(repeating: -1, count: leafCount) // Calculates symbols for each length in 'sortedLengths' array and put them in the tree. var loopBits = -1 var symbol = -1 for length in sortedLengths { precondition(length.codeLength > 0, "Code length must not be 0 during HuffmanTree construction.") symbol += 1 // We sometimes need to make symbol to have length.bits bit length. let bits = length.codeLength if bits != loopBits { symbol <<= (bits - loopBits) loopBits = bits } // Then we need to reverse bit order of the symbol. var treeCode = reverse(bits: loopBits, in: symbol) // Finally, we put it at its place in the tree. var index = 0 for _ in 0..>= 1 } self.tree[index] = length.symbol } } func findNextSymbol() -> Int { var index = 0 while true { let bit = bitReader.bit() index = bit == 0 ? 2 * index + 1 : 2 * index + 2 guard index < self.leafCount else { return -1 } if self.tree[index] > -1 { return self.tree[index] } } } }