public EncodedFile encodeFile()
{
char[] charset = getCharset();
int[] weights = getCharFrequencies(charset);
HuffmanTree tree = new HuffmanTree(charset, weights);
string[] codes = tree.getCodes(charset);
string encoded = encodeToString(charset, codes);
string huffmanData = tree.getBinaryRepresentation();
Console.WriteLine(tree.getHuffmanCode(',')); //TEST TEST TEST
EncodedFile enf = new EncodedFile("E:\\Users\\Alexander Weaver\\My Documents\\encodedTEST.hct", EncodedFile.CREATE_NEW);
writeEncodedFile(enf, huffmanData, encoded);
return enf;
}
//Produces a lookup dictionary which maps a given encoded binary symbol, in string format to the symbol's corresponding ASCII character
private Dictionary<string, char> getCodeDictionary(HuffmanTree tree)
{
Dictionary<string, char> table = new Dictionary<string, char>();
char[] charset = tree.getCharset();
for (int i = 0; i < charset.Length; ++i) {
try {
table.Add(tree.getHuffmanCode(charset[i]), charset[i]);
} catch {
continue; //...
}
}
return table;
}
//Reads the huffman data at the beginning of the file, and returns the corresponding huffman tree
private HuffmanTree getTreeFromFile(byte[] file, byte huffmanDataLength)
{
byte[] hData = new byte[huffmanDataLength];
Array.Copy(file, 1, hData, 0, huffmanDataLength);
string huffmanData = "";
for (int i = 0; i < hData.Length; ++i) {
huffmanData += Convert.ToString(hData[i], 2).PadLeft(8, '0');
}
HuffmanTree tree = new HuffmanTree(huffmanData);
return tree;
}