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以下是一個簡單的C++實現LZ77算法的zip庫示例代碼:
#include <iostream>
#include <vector>
#include <string>
#include <algorithm>
using namespace std;
class LZ77 {
public:
vector<pair<int, int>> compress(const string& input, int windowSize, int bufferSize) {
vector<pair<int, int>> compressedData;
int pos = 0;
while (pos < input.length()) {
int windowStart = max(0, pos - windowSize);
int windowEnd = pos - 1;
int bestMatchPos = -1;
int bestMatchLen = 0;
for (int i = windowStart; i < windowEnd; i++) {
int len = 0;
while (input[pos + len] == input[i + len] && len < bufferSize) {
len++;
}
if (len > bestMatchLen) {
bestMatchPos = i;
bestMatchLen = len;
}
}
if (bestMatchLen > 0) {
compressedData.push_back({pos - bestMatchPos, bestMatchLen});
pos += bestMatchLen;
} else {
compressedData.push_back({0, input[pos]});
pos++;
}
}
return compressedData;
}
string decompress(const vector<pair<int, int>>& compressedData) {
string decompressedData;
for (auto& entry : compressedData) {
if (entry.first == 0) {
decompressedData += entry.second;
} else {
int pos = decompressedData.length() - entry.first;
for (int i = 0; i < entry.second; i++) {
decompressedData += decompressedData[pos + i];
}
}
}
return decompressedData;
}
};
int main() {
LZ77 lz77;
string input = "abracadabra";
int windowSize = 4;
int bufferSize = 4;
vector<pair<int, int>> compressedData = lz77.compress(input, windowSize, bufferSize);
string decompressedData = lz77.decompress(compressedData);
cout << "Original data: " << input << endl;
cout << "Compressed data: ";
for (auto& entry : compressedData) {
cout << "(" << entry.first << ", " << entry.second << ") ";
}
cout << endl;
cout << "Decompressed data: " << decompressedData << endl;
return 0;
}
在上面的示例中,我們定義了一個LZ77類,其中包含了壓縮和解壓縮函數。在壓縮函數中,我們首先定義了窗口大小和緩沖區大小,然后遍歷輸入字符串,找到最佳匹配位置和長度。最后,將匹配位置和長度或者字面值字符存入壓縮數據中。在解壓縮函數中,我們根據壓縮數據重新構建原始數據。在主函數中,我們使用示例輸入數據調用壓縮和解壓縮函數,并輸出壓縮和解壓縮的結果。
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