public Lmots(LmotsType type, EntropyProviderTypes entropyType = EntropyProviderTypes.Random)
{
var(n, w, p, ls, siglen, typecode) = LmotsModeMapping.GetValsFromType(type);
_n = n;
_w = w;
_p = p;
_ls = ls;
_siglen = siglen;
_typecode = typecode;
_entropyProvider = _entropyFactory.GetEntropyProvider(entropyType);
_isRandom = entropyType == EntropyProviderTypes.Random;
_sha256 = new NativeFastSha2_256();
}
private const int H25_PIECE_SIZE = 32768; // creates 1024 threads
#endregion Fields
#region Constructors
// From an email from Scott Fluhrer:
// To generate the I value for the LMS tree, we will adapt algorithm A,
// by setting the I value input to be the all-zeros value, the q value
// to be 0 and the i value to be 65535; we will use the first 16 bytes of the hash output.
// Algorithm A:
// x_q[i] = H(I || u32str(q) || u16str(i) || u8str(0xff) || SEED).
// UPDATE: I value is now generated separate from SEED. Child I values still computed the same
public Lms(LmsType lmsType, LmotsType lmotsType,
EntropyProviderTypes entropyType = EntropyProviderTypes.Random, BitString seed = null, BitString I = null)
{
var(m, h, typecode) = LmsModeMapping.GetValsFromType(lmsType);
_m = m;
_h = h;
_typecode = typecode;
var param = LmotsModeMapping.GetValsFromType(lmotsType);
_lmotsTypecode = param.typecode;
_entropyProvider = _entropyFactory.GetEntropyProvider(entropyType);
_entropyProvider.AddEntropy(seed);
SEED = _entropyProvider.GetEntropy(_m * 8);
_entropyProvider.AddEntropy(I);
_I = _entropyProvider.GetEntropy(128);
_lmots = new Lmots(lmotsType, entropyType);
_isRandom = entropyType == EntropyProviderTypes.Random;
_sha256 = new NativeFastSha2_256();
// For optimization the balance between interop calls and asynchronization
if (_h == 5)
{
_pieceSize = H5_PIECE_SIZE;
}
else if (_h == 10)
{
_pieceSize = H10_PIECE_SIZE;
}
else if (_h == 15)
{
_pieceSize = H15_PIECE_SIZE;
}
else if (_h == 20)
{
_pieceSize = H20_PIECE_SIZE;
}
else
{
_pieceSize = H25_PIECE_SIZE;
}
}