/// <summary>Detects whether or not the specified Node is the leaf or not</summary>
/// <param name="node">The Node to be checked</param>
/// <returns> True if Leaf, False if not</returns>
public bool IsLeaf(HuffmanNode node)
{
return(node.Left == null && node.Right == null);
}
/// <summary>Compressses the file into a Byte array</summary>
/// <param name="id"></param>
/// <returns> The byte array of the file</returns>
public byte[] compress(string iContent)
{
content = iContent;
frequencies = new Dictionary <char, HuffmanNode>();
foreach (char c in content)
{
if (frequencies.ContainsKey(c))
{
frequencies[c].Frequency = frequencies[c].Frequency + 1;
}
else
{
frequencies.Add(c, new HuffmanNode()
{
Frequency = 1, Symbol = c
});
}
}
HuffTree = TreeConstruction(frequencies);
HuffBase = HuffTree.First().Value;
List <string> result = new List <string>();
int[] disctFrequencies = frequencies.Select(f => f.Value.Frequency).Distinct().ToArray();
if (frequencies.ContainsKey('\n'))
{
int newLineFreq = frequencies.Where(i => i.Key == '\n').Select(fr => fr.Value.Frequency).ToList()[0];
result.Add(newLineFreq + "lb");
}
if (frequencies.ContainsKey(':'))
{
int newLineFreq = frequencies.Where(i => i.Key == ':').Select(fr => fr.Value.Frequency).ToList()[0];
result.Add(":" + newLineFreq + "DD");
}
foreach (int freq in disctFrequencies)
{
List <char> sameFreq = frequencies.Where(i => i.Value.Frequency == freq && i.Key != '\n' && i.Key != ':').Select(fr => fr.Key).ToList();
result.Add(":" + freq + string.Join("", sameFreq));
}
// Adds the Delimiter
result.Add("###");
string[] arrayResult = result.ToArray();
List <byte> bytesTest = new List <byte>();
//for (int i = 0; i < arrayResult.Length; i++)
//{
// Console.WriteLine(arrayResult[i]);
// char[] charArray = arrayResult[i].ToCharArray();
// List<byte> characters = charArray.Select(s => (byte)s).ToList();
// bytesTest.AddRange(characters);
//}
bytesTest.AddRange(String.Join("", arrayResult).ToCharArray().Select(s => (byte)s).ToList());
byte[] resultTest = bytesTest.ToArray();
var str = System.Text.Encoding.Default.GetString(resultTest);
string res = Encoding.UTF8.GetString(resultTest, 0, resultTest.Length);
string res2 = Encoding.ASCII.GetString(resultTest, 0, resultTest.Length);
string res3 = Encoding.Unicode.GetString(resultTest, 0, resultTest.Length);
// Console.WriteLine(str);
Console.WriteLine(res);
List <bool> encodedSource = new List <bool>();
for (int i = 0; i < content.Length; i++)
{
List <bool> encodedSymbol = HuffBase.Find(content[i], new List <bool>());
encodedSource.AddRange(encodedSymbol);
}
BitArray bits = new BitArray(encodedSource.ToArray());
var oneBit = bits[2];
byte[] bytes = new byte[bits.Length / 8 + (bits.Length % 8 == 0 ? 0 : 1)];
bits.CopyTo(bytes, 0);
var comindedBytes = new List <byte>();
comindedBytes.AddRange(resultTest);
comindedBytes.AddRange(bytes);
string res4 = Encoding.UTF8.GetString(bytes, 0, bytes.Length);
string res5 = Encoding.ASCII.GetString(bytes, 0, bytes.Length);
string res6 = Encoding.Unicode.GetString(bytes, 0, bytes.Length);
string res7 = Encoding.Default.GetString(bytes, 0, bytes.Length);
string res8 = Encoding.BigEndianUnicode.GetString(bytes, 0, bytes.Length);
string res9 = Encoding.Unicode.GetString(bytes, 0, bytes.Length);
return(comindedBytes.ToArray());
}
/// <summary>Decompresses the file contents provided.</summary>
/// <param name="fileContent">Byte array of the file to be decompressed</param>
/// <returns> String of the content of the file</returns>
public string decompress(byte[] fileContent)
{
var str = System.Text.Encoding.Default.GetString(fileContent);
string[] fileParts = str.Split(new string[] { "###" }, StringSplitOptions.None);
string[] items = fileParts[0].Split(":");
frequencies = new Dictionary <char, HuffmanNode>();
foreach (string item in items)
{
string digits = new String(item.TakeWhile(Char.IsDigit).ToArray());
string indiviualItem = item.Replace(digits, "");
if (indiviualItem == "lb")
{
frequencies.Add('\n', new HuffmanNode()
{
Frequency = Convert.ToInt32(digits), Symbol = '\n'
});
}
if (indiviualItem == "DD")
{
frequencies.Add(':', new HuffmanNode()
{
Frequency = Convert.ToInt32(digits), Symbol = ':'
});
}
if (indiviualItem != "DD" && indiviualItem != "lb")
{
char[] invidualItems = indiviualItem.ToArray();
foreach (char symbol in indiviualItem)
{
frequencies.Add(symbol, new HuffmanNode()
{
Frequency = Convert.ToInt32(digits), Symbol = symbol
});
}
}
}
HuffTree = TreeConstruction(frequencies);
HuffBase = HuffTree.First().Value;
BitArray bits = new BitArray(fileContent);
HuffmanNode current = this.HuffBase;
string decoded = "";
foreach (bool bit in bits)
{
if (bit)
{
if (current.Right != null)
{
current = current.Right;
}
}
else
{
if (current.Left != null)
{
current = current.Left;
}
}
if (IsLeaf(current))
{
decoded += current.Symbol;
current = this.HuffBase;
}
}
return(decoded);
}
