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/// <summary>
/// Génère des empreintes de fichiers
/// </summary>
public static class RabinFingerPrint
{
/// <summary>
/// Bit 64 of the polynomial P is always 1 and not treated directly. This is the polynomial
/// with the leading coefficient removed (lcr).
/// Represents t^64 + t^4 + t^3 + t + 1.
/// </summary>
private static readonly UInt64 p_lcr = 0x000000000000001BL;
/// <summary>
/// It's not necessary to provide definitions for such integral constant variables as long as their
/// addresses are not taken.
/// Degree of the polynomial P.
/// </summary>
private static readonly int K = 64;
/// <summary>
/// Represents t^(K-1)
/// </summary>
private static readonly UInt64 T_K_minus_1 = (UInt64)1L << (K - 1);
/// <summary>
/// Broder's paper presents four pre-computed tables because words are considered to be 32-bit.
/// In this implementation W is a 64-bit integral type. Eight tables are used.
/// Table A is i1^127 + i2^126 + ... + i8^120.
/// Table B is i1^119 + i2^118 + ... + i8^112.
/// Table C, D, ..
/// Table E is i1^95 + i2^94 + ... + i8^88. (This is table A in the paper.)
/// Table F, G, H.
/// </summary>
private static UInt64[] tableA_ = new UInt64[256]; //Assuming byte size 8.
private static UInt64[] tableB_ = new UInt64[256];
private static UInt64[] tableC_ = new UInt64[256];
private static UInt64[] tableD_ = new UInt64[256];
private static UInt64[] tableE_ = new UInt64[256];
private static UInt64[] tableF_ = new UInt64[256];
private static UInt64[] tableG_ = new UInt64[256];
private static UInt64[] tableH_ = new UInt64[256];
/// <summary>
/// Constructor
/// </summary>
static RabinFingerPrint()
{
InitTables();
}
/// <summary>
/// Initialize tables
/// </summary>
private static void InitTables()
{
//This represents t^(k + i) mod P, where i is the index of the array.
//It will be used to compute the tables.
UInt64[] mods = new UInt64[K];
//Remember t^k mod P is equivalent to p_lcr.
mods[0] = p_lcr;
for (int i = 1; i < K; ++i)
{
//By property: t^i mod P = t(t^(i - 1)) mod P.
mods[i] = mods[i - 1] << 1;
//If mods[i - 1] had a term at k-1, mods[i] would have had the term k, which is not represented.
//The term k would account for exactly one more division by P. Then, the effect is the same
//as adding p_lcr to the mod.
if ((mods[i - 1] & T_K_minus_1) != 0)
mods[i] ^= p_lcr;
}
//Compute tables. A control variable is used to indicate whether the current bit should be
//considered.
for (int i = 0; i < 256; ++i)
{
int control = i;
for (int j = 0; j < 8 && control > 0; ++j)
{
// bool.Parse(Convert.ToString())
if ((control & 1) == 1) //Ok, consider bit. ((byte))
{
tableA_[i] ^= mods[j + 56];
tableB_[i] ^= mods[j + 48];
tableC_[i] ^= mods[j + 40];
tableD_[i] ^= mods[j + 32];
tableE_[i] ^= mods[j + 24];
tableF_[i] ^= mods[j + 16];
tableG_[i] ^= mods[j + 8];
tableH_[i] ^= mods[j];
}
control >>= 1;
}
}
}
/// <summary>
/// Compute hash key
/// </summary>
/// <param name="value">Value to hash</param>
/// <returns>Value</returns>
private static UInt64 ComputeTablesSum(ref UInt64 value)
{
value = tableH_[((value) & 0xFF)] ^
tableG_[((value >> 8) & 0xFF)] ^
tableF_[((value >> 16) & 0xFF)] ^
tableE_[((value >> 24) & 0xFF)] ^
tableD_[((value >> 32) & 0xFF)] ^
tableC_[((value >> 40) & 0xFF)] ^
tableB_[((value >> 48) & 0xFF)] ^
tableA_[((value >> 56) & 0xFF)];
return value; //Pass by reference to return the same w. (Convenience and efficiency.)
}
/// <summary>
/// Compute hask hey
/// </summary>
/// <param name="HashArray">Array of Ulong bytes to ahsh</param>
/// <returns>Hash key</returns>
private static UInt64 Compute(UInt64[] HashArray)
{
UInt64 w = 0L;
for (int s = 0; s < HashArray.Length; ++s)
w = ComputeTablesSum(ref w) ^ HashArray[s];
return w;
}
/// <summary>
/// Compute the fingerprint
/// </summary>
/// <param name="source">String to compute</param>
/// <returns>Hash key</returns>
public static UInt64 ComputeFingerPrint(string source)
{
byte[] table = Encoding.Unicode.GetBytes(source);
UInt64[] values = new UInt64[table.LongLength];
ConvertBytes(ref table, ref values);
return Compute(values);
}
/// <summary>
/// Compute the fingerprint, you must use this method for very large text
/// </summary>
/// <param name="source">String to compute</param>
/// <returns>Hash key</returns>
public static UInt64 ComputeFingerPrint(ref string source)
{
return ComputeFingerPrint(source);
}
/// <summary>
/// Compute the fingerprint, you must use this method for very large binary data
/// </summary>
/// <param name="source">Data to compute</param>
/// <returns>Hash key</returns>
public static UInt64 ComputeFingerPrint(ref byte[] source)
{
UInt64[] values = new UInt64[source.LongLength];
ConvertBytes(ref source, ref values);
return Compute(values);
}
/// <summary>
/// Compute the fingerprint, you must use this method for very large binary data
/// </summary>
/// <param name="source">Data to compute</param>
/// <returns>Hash key</returns>
public static UInt64 ComputeFingerPrint(byte[] source)
{
return ComputeFingerPrint(ref source);
}
/// <summary>
/// Compute byte array to Uint64 array
/// </summary>
/// <param name="source">Table de byte source</param>
/// <param name="destination">Tableau de Uin64</param>
private static void ConvertBytes(ref byte[] source, ref UInt64[] destination)
{
for (long i = 0; i < source.LongLength; i++)
destination[i] = Convert.ToUInt64(source[i]);
}
} |
Algorithm Rabin fingerprint
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