本文整理汇总了Python中MiniNero.sc_0方法的典型用法代码示例。如果您正苦于以下问题：Python MiniNero.sc_0方法的具体用法？Python MiniNero.sc_0怎么用？Python MiniNero.sc_0使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类MiniNero的用法示例。
在下文中一共展示了MiniNero.sc_0方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: proveRange
# 需要导入模块: import MiniNero [as 别名]
# 或者: from MiniNero import sc_0 [as 别名]
def proveRange(amount):
bb = d2b(amount, ATOMS) #gives binary form of bb in "digits" binary digits
print("amount, amount in binary", amount, bb)
ai = [None] * len(bb)
Ci = [None] * len(bb)
CiH = [None] * len(bb) #this is like Ci - 2^i H
H2 = getH2ForCT()
a = MiniNero.sc_0()
ii = [None] * len(bb)
indi = [None] * len(bb)
for i in range(0, ATOMS):
ai[i] = PaperWallet.skGen()
a = MiniNero.addScalars(a, ai[i]) #creating the total mask since you have to pass this to receiver...
if bb[i] == 0:
Ci[i] = MiniNero.scalarmultBase(ai[i])
if bb[i] == 1:
Ci[i] = MiniNero.addKeys(MiniNero.scalarmultBase(ai[i]), H2[i])
CiH[i] = MiniNero.subKeys(Ci[i], H2[i])
A = asnlSig()
A.L1, A.s2, A.s = AggregateSchnorr.GenASNL(ai, Ci, CiH, bb)
R = rangeSig()
R.asig = A
R.Ci = Ci
mask = a
C = sumCi(Ci)
return C, mask, R示例2: proveRctMG
# 需要导入模块: import MiniNero [as 别名]
# 或者: from MiniNero import sc_0 [as 别名]
def proveRctMG(pubs, inSk, outSk, outPk, index):
#pubs is a matrix of ctkeys [P, C]
#inSk is the keyvector of [x, mask] secret keys
#outMasks is a keyvector of masks for outputs
#outPk is a list of output ctkeys [P, C]
#index is secret index of where you are signing (integer)
#returns a list (mgsig) [ss, cc, II] where ss is keymatrix, cc is key, II is keyVector of keyimages
#so we are calling MLSAG2.MLSAG_Gen from here, we need a keymatrix made from pubs
#we also need a keyvector made from inSk
rows = len(pubs[0])
cols = len(pubs)
print("rows in mg", rows)
print("cols in mg", cols)
M = MLSAG2.keyMatrix(rows + 1, cols) #just a simple way to initialize a keymatrix, doesn't need to be random..
sk = MLSAG2.keyVector(rows + 1)
for j in range(0, cols):
M[j][rows] = MiniNero.identity()
sk[rows] = MiniNero.sc_0()
for i in range(0, rows):
sk[i] = inSk[i].dest #get the destination part
sk[rows] = MiniNero.sc_add_keys(sk[rows], inSk[i].mask) #add commitment part
for j in range(0, cols):
M[j][i] = pubs[j][i].dest # get the destination part
M[j][rows] = MiniNero.addKeys(M[j][rows], pubs[j][i].mask) #add commitment part
#next need to subtract the commitment part of all outputs..
for j in range(0, len(outSk)):
sk[rows] = MiniNero.sc_sub_keys(sk[rows], outSk[j].mask)
for i in range(0, len(outPk)):
M[j][rows] = MiniNero.subKeys(M[j][rows], outPk[i].mask) # subtract commitment part
MG = mgSig()
MG.II, MG.cc, MG.ss = MLSAG2.MLSAG_Gen(M, sk, index)
return MG #mgSig