Generate some v5 coinbase transactions.
Co-authored-by: Kris Nuttycombe <kris@nutty.land> Signed-off-by: Daira Hopwood <daira@jacaranda.org>
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@ -160,6 +160,8 @@ class OutputDescription(object):
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class OrchardActionDescription(object):
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def __init__(self, rand):
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# We don't need to take account of whether this is a coinbase transaction,
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# because we're only generating random fields.
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self.cv = pallas_group_hash(b'TVRandPt', rand.b(32))
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self.nullifier = PallasBase(leos2ip(rand.b(32)))
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self.rk = pallas_group_hash(b'TVRandPt', rand.b(32))
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@ -220,10 +222,17 @@ RAND_OPCODES = [
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]
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class Script(object):
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def __init__(self, rand):
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self._script = bytes([
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rand.a(RAND_OPCODES) for i in range(rand.i8() % 10)
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])
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def __init__(self, rand=None):
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if rand is not None:
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self._script = bytes([
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rand.a(RAND_OPCODES) for i in range(rand.i8() % 10)
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])
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@staticmethod
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def from_bytes(b):
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script = Script()
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script._script = b
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return script
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def raw(self):
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return self._script
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@ -233,19 +242,36 @@ class Script(object):
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class OutPoint(object):
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def __init__(self, rand):
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self.txid = rand.b(32)
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self.n = rand.u32()
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def __init__(self, rand=None):
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if rand is not None:
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self.txid = rand.b(32)
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self.n = rand.u32()
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@staticmethod
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def from_components(txid, n):
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outpoint = OutPoint()
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outpoint.txid = txid
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outpoint.n = n
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return outpoint
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def __bytes__(self):
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return self.txid + struct.pack('<I', self.n)
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class TxIn(object):
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def __init__(self, rand):
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self.prevout = OutPoint(rand)
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self.scriptSig = Script(rand)
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self.nSequence = rand.u32()
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def __init__(self, rand=None):
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if rand is not None:
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self.prevout = OutPoint(rand)
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self.scriptSig = Script(rand)
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self.nSequence = rand.u32()
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@staticmethod
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def from_components(prevout, scriptSig, nSequence):
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txin = TxIn()
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txin.prevout = prevout
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txin.scriptSig = scriptSig
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txin.nSequence = nSequence
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return txin
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def __bytes__(self):
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return (
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@ -372,6 +398,7 @@ class TransactionV5(object):
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have_transparent_out = (flip_coins >> 1) % 2
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have_sapling = (flip_coins >> 2) % 2
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have_orchard = (flip_coins >> 3) % 2
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is_coinbase = (not have_transparent_in) and (flip_coins >> 4) % 2
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# Common Transaction Fields
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self.nVersionGroupId = NU5_VERSION_GROUP_ID
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@ -385,6 +412,11 @@ class TransactionV5(object):
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if have_transparent_in:
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for _ in range((rand.u8() % 3) + 1):
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self.vin.append(TxIn(rand))
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if is_coinbase:
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self.vin.append(TxIn.from_components(
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OutPoint.from_components(b'\x00' * 32, 0xFFFFFFFF),
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Script.from_bytes(b"\x51"),
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0))
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if have_transparent_out:
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for _ in range((rand.u8() % 3) + 1):
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self.vout.append(TxOut(rand))
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@ -394,8 +426,11 @@ class TransactionV5(object):
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self.vOutputsSapling = []
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if have_sapling:
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self.anchorSapling = Fq(leos2ip(rand.b(32)))
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# We use the randomness unconditionally here to avoid unnecessary test vector changes.
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for _ in range(rand.u8() % 3):
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self.vSpendsSapling.append(SpendDescription(rand, self.anchorSapling))
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spend = SpendDescription(rand, self.anchorSapling)
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if not is_coinbase:
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self.vSpendsSapling.append(spend)
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for _ in range(rand.u8() % 3):
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self.vOutputsSapling.append(OutputDescription(rand))
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self.valueBalanceSapling = rand.u64() % (MAX_MONEY + 1)
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@ -411,6 +446,9 @@ class TransactionV5(object):
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for _ in range(rand.u8() % 5):
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self.vActionsOrchard.append(OrchardActionDescription(rand))
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self.flagsOrchard = rand.u8() & 3 # Only two flag bits are currently defined.
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if is_coinbase:
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# set enableSpendsOrchard = 0
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self.flagsOrchard &= 2
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self.valueBalanceOrchard = rand.u64() % (MAX_MONEY + 1)
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self.anchorOrchard = PallasBase(leos2ip(rand.b(32)))
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self.proofsOrchard = rand.b(rand.u8() + 32) # Proof will always contain at least one element
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@ -420,6 +458,8 @@ class TransactionV5(object):
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# v^balanceOrchard is defined to be 0.
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self.valueBalanceOrchard = 0
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assert is_coinbase == self.is_coinbase()
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def version_bytes(self):
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return NU5_TX_VERSION | (1 << 31)
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@ -356,10 +356,13 @@ def main():
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txid = txid_digest(tx)
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auth = auth_digest(tx)
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# Generate amounts and scriptCodes for each transparent input.
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t_inputs = [TransparentInput(nIn, rand) for nIn in range(len(tx.vin))]
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# Generate amounts and scriptCodes for each non-dummy transparent input.
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if tx.is_coinbase():
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t_inputs = []
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else:
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t_inputs = [TransparentInput(nIn, rand) for nIn in range(len(tx.vin))]
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# If there are any transparent inputs, derive a corresponding transparent sighash.
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# If there are any non-dummy transparent inputs, derive a corresponding transparent sighash.
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if len(t_inputs) > 0:
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txin = rand.a(t_inputs)
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else:
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