1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
|
from __future__ import absolute_import
import codecs
import hashlib
import random
import unittest
from mozharness.mozilla.merkle import InclusionProof, MerkleTree
decode_hex = codecs.getdecoder("hex_codec")
encode_hex = codecs.getencoder("hex_codec")
# Pre-computed tree on 7 inputs
#
# ______F_____
# / \
# __D__ _E_
# / \ / \
# A B C |
# / \ / \ / \ |
# 0 1 2 3 4 5 6
hash_fn = hashlib.sha256
data = [
decode_hex("fbc459361fc111024c6d1fd83d23a9ff")[0],
decode_hex("ae3a44925afec860451cd8658b3cadde")[0],
decode_hex("418903fe6ef29fc8cab93d778a7b018b")[0],
decode_hex("3d1c53c00b2e137af8c4c23a06388c6b")[0],
decode_hex("e656ebd8e2758bc72599e5896be357be")[0],
decode_hex("81aae91cf90be172eedd1c75c349bf9e")[0],
decode_hex("00c262edf8b0bc345aca769e8733e25e")[0],
]
leaves = [
decode_hex("5cb551f87797381a24a5359a986e2cef25b1f2113b387197fe48e8babc9ad5c7")[0],
decode_hex("9899dc0be00306bda2a8e69cec32525ca6244f132479bcf840d8c1bc8bdfbff2")[0],
decode_hex("fdd27d0393e32637b474efb9b3efad29568c3ec9b091fdda40fd57ec9196f06d")[0],
decode_hex("c87292a6c8528c2a0679b6c1eefb47e4dbac7840d23645d5b7cb47cf1a8d365f")[0],
decode_hex("2ff3bdac9bec3580b82da8a357746f15919414d9cbe517e2dd96910c9814c30c")[0],
decode_hex("883e318240eccc0e2effafebdb0fd4fd26d0996da1b01439566cb9babef8725f")[0],
decode_hex("bb13dfb7b202a95f241ea1715c8549dc048d9936ec747028002f7c795de72fcf")[0],
]
nodeA = decode_hex("06447a7baa079cb0b4b6119d0f575bec508915403fdc30923eba982b63759805")[
0
]
nodeB = decode_hex("3db98027c655ead4fe897bef3a4b361839a337941a9e624b475580c9d4e882ee")[
0
]
nodeC = decode_hex("17524f8b0169b2745c67846925d55449ae80a8022ef8189dcf4cbb0ec7fcc470")[
0
]
nodeD = decode_hex("380d0dc6fd7d4f37859a12dbfc7171b3cce29ab0688c6cffd2b15f3e0b21af49")[
0
]
nodeE = decode_hex("3a9c2886a5179a6e1948876034f99d52a8f393f47a09887adee6d1b4a5c5fbd6")[
0
]
nodeF = decode_hex("d1a0d3947db4ae8305f2ac32985957e02659b2ea3c10da52a48d2526e9af3bbc")[
0
]
proofs = [
[leaves[1], nodeB, nodeE],
[leaves[0], nodeB, nodeE],
[leaves[3], nodeA, nodeE],
[leaves[2], nodeA, nodeE],
[leaves[5], leaves[6], nodeD],
[leaves[4], leaves[6], nodeD],
[nodeC, nodeD],
]
known_proof5 = decode_hex(
"020000"
+ "0000000000000007"
+ "0000000000000005"
+ "0063"
+ "20"
+ encode_hex(leaves[4])[0].decode()
+ "20"
+ encode_hex(leaves[6])[0].decode()
+ "20"
+ encode_hex(nodeD)[0].decode()
)[0]
class TestMerkleTree(unittest.TestCase):
def testPreComputed(self):
tree = MerkleTree(hash_fn, data)
head = tree.head()
self.assertEqual(head, nodeF)
for i in range(len(data)):
proof = tree.inclusion_proof(i)
self.assertTrue(proof.verify(hash_fn, data[i], i, len(data), head))
self.assertEqual(proof.leaf_index, i)
self.assertEqual(proof.tree_size, tree.n)
self.assertEqual(proof.path_elements, proofs[i])
def testInclusionProofEncodeDecode(self):
tree = MerkleTree(hash_fn, data)
# Inclusion proof encode/decode round trip test
proof5 = tree.inclusion_proof(5)
serialized5 = proof5.to_rfc6962_bis()
deserialized5 = InclusionProof.from_rfc6962_bis(serialized5)
reserialized5 = deserialized5.to_rfc6962_bis()
self.assertEqual(serialized5, reserialized5)
# Inclusion proof encode known answer test
serialized5 = proof5.to_rfc6962_bis()
self.assertEqual(serialized5, known_proof5)
# Inclusion proof decode known answer test
known_deserialized5 = InclusionProof.from_rfc6962_bis(known_proof5)
self.assertEqual(proof5.leaf_index, known_deserialized5.leaf_index)
self.assertEqual(proof5.tree_size, known_deserialized5.tree_size)
self.assertEqual(proof5.path_elements, known_deserialized5.path_elements)
def testLargeTree(self):
TEST_SIZE = 5000
ELEM_SIZE_BYTES = 16
data = [
bytearray(random.getrandbits(8) for _ in range(ELEM_SIZE_BYTES))
for _ in range(TEST_SIZE)
]
tree = MerkleTree(hash_fn, data)
head = tree.head()
for i in range(len(data)):
proof = tree.inclusion_proof(i)
self.assertTrue(proof.verify(hash_fn, data[i], i, len(data), head))
self.assertEqual(proof.leaf_index, i)
self.assertEqual(proof.tree_size, tree.n)
|
