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123 lines
4.2 KiB
Python
123 lines
4.2 KiB
Python
import MiniNero
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import MLSAG
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import LLW_Sigs
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import PaperWallet
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import AggregateSchnorr
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import Ecdh
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import Translator
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def getHForCT():
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return "8b655970153799af2aeadc9ff1add0ea6c7251d54154cfa92c173a0dd39c1f94"
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A = MiniNero.publicFromInt(1)
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H = MiniNero.hashToPoint_ct(A)
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Translator.hexToC(H)
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print(H)
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return H
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def getH2ForCT():
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A = MiniNero.publicFromInt(1)
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HPow2 = MiniNero.hashToPoint_ct(A)
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two = MiniNero.intToHex(2)
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H2 = [None] * 64
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for i in range(0, 64):
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Translator.hexToCComma(HPow2)
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H2[i] = HPow2
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HPow2 = MiniNero.scalarmultKey(HPow2, two)
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return H2
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def binary(n, digits):
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b = [0] * digits
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i = 0
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while n:
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b[i] = n & 1
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i = i + 1
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n >>= 1
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return b
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#unused? (Maybe I was just using for testing..)
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def dec(binArray):
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s = 0
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i = 0
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for a in binArray:
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s = s + a * 2 ** i
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i+= 1
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return s
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def sumCi(Cis):
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CSum = MiniNero.identity()
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for i in Cis:
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CSum = MiniNero.addKeys(CSum, i)
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return CSum
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def sumCiExp(Cis, Exp):
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#Cis is a vector
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#Exp is a vector
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CSum = MiniNero.identity()
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for i in range(0, len(Cis)):
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CSum = MiniNero.addKeys(CSum, MiniNero.scalarmultKey(Cis[i], MiniNero.intToHex(10 ** Exp[i])))
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return CSum
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def genRangeProof(b, digits):
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bb = binary(b, digits) #gives binary form of bb in "digits" binary digits
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print("b, b in binary", b, bb)
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ai = [None] * len(bb)
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Ci = [None] * len(bb)
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CiH = [None] * len(bb) #this is like Ci - 2^i H
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a = MiniNero.intToHex(0)
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ii = [None] * len(bb)
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indi = [None] * len(bb)
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for i in range(0, len(bb)):
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ai[i] = PaperWallet.skGen()
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a = MiniNero.addScalars(a, ai[i]) #creating the total mask since you have to pass this to receiver...
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Ci[i] = MiniNero.addKeys(MiniNero.scalarmultBase(ai[i]), MiniNero.scalarmultKey(getHForCT(), MiniNero.intToHex(bb[i] * 2 ** i)))
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CiH[i] = MiniNero.subKeys(Ci[i], MiniNero.scalarmultKey(getHForCT(), MiniNero.intToHex(2 ** i)))
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L1, s2, s = AggregateSchnorr.GenASNL(ai, Ci, CiH, bb)
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return sumCi(Ci), Ci, L1, s2, s, a
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def verRangeProof(Ci, L1, s2, s):
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n = len(Ci) #note there will be some fixed length eventually so you can't just get the top digit
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CiH = [None] * n
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for i in range(0, n):
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CiH[i] = MiniNero.subKeys(Ci[i], MiniNero.scalarmultKey(getHForCT(), MiniNero.intToHex(2 ** i)))
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return AggregateSchnorr.VerASNL(Ci, CiH, L1, s2, s)
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def ComputeReceivedAmount(senderEphemPk, receiverSK, maskedMask, maskedAmount, Ci, exponent):
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ss1, ss2 = ecdh.ecdhretrieve(receiverSK, senderEphemPk)
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mask = MiniNero.sc_sub_keys(maskedMask, ss1)
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CSum = sumCi(Ci)
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bH = MiniNero.subKeys(CSum, MiniNero.scalarmultBase(mask)) #bH = C - aG
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b = MiniNero.sc_sub_keys(maskedAmount, ss2)
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print("received amount:", 10 ** exponent * MiniNero.hexToInt(b))
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H = getHForCT()
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bHTent = MiniNero.scalarmultKey(H, b)
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print(bHTent,"=?", bH)
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if bHTent != bH:
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print("wrong amount sent!")
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return -1
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return 0
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def genRCTSig(sk_x, sk_in, sk_out, Pk, CIn, COut, ExpIn, ExpOut, index):
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#sk_x is private keys of addresses (vector)
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#sk_in is masks of input commitments (vector)
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#sk_out is masks of output commitments (vector)
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#Pk is public key list (2d array)
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#CIn is input commitments (2d array)
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#COut is output commitments (vector)
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#ExpIn is exponents for the input commitments (2d array)
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#so each row of this is going to correspond to a column in the actual mlsag..
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#ExpOut is exponents for the output commitments
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#index is the secret index
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sk = sk_x[:]
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sk.append(MiniNero.sc_sub_keys(MiniNero.sc_add(sk_in, ExpIn[index]), MiniNero.sc_add(sk_out, ExpOut)))
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CRow = [None] * len(CIn) #commitments row of public keys Cin - Cout
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COutSum = sumCiExp(COut, ExpOut) #Cout1*10^i_1 + Cout2 * 10^{i_2}..
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tmp = MiniNero.identity()
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pk = [None] * (len(sk_x) + 1) #generalize later...
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pk[0] = Pk
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for i in range(0, len(CIn)):
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CRow[i] = MiniNero.subKeys(sumCiExp(CIn[i], ExpIn[i]), COutSum)
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pk[1] = CRow
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II, cc, ssVal = MLSAG.MLSAG_Sign(pk, sk, index)
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return pk, II, cc, ssVal
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