aboutsummaryrefslogtreecommitdiff
path: root/freezed_deps/mnemonic/mnemonic.py
blob: 935620aaec79f39acda58506f158825ff649df2b (plain) (blame)
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
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
#
# Copyright (c) 2013 Pavol Rusnak
# Copyright (c) 2017 mruddy
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation the rights to
# use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
# of the Software, and to permit persons to whom the Software is furnished to do
# so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
#

import binascii
import bisect
import hashlib
import hmac
import itertools
import os
import sys
import unicodedata

PBKDF2_ROUNDS = 2048


class ConfigurationError(Exception):
    pass


# From <https://stackoverflow.com/questions/212358/binary-search-bisection-in-python/2233940#2233940>
def binary_search(a, x, lo=0, hi=None):  # can't use a to specify default for hi
    hi = hi if hi is not None else len(a)  # hi defaults to len(a)
    pos = bisect.bisect_left(a, x, lo, hi)  # find insertion position
    return pos if pos != hi and a[pos] == x else -1  # don't walk off the end


# Refactored code segments from <https://github.com/keis/base58>
def b58encode(v):
    alphabet = "123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz"

    p, acc = 1, 0
    for c in reversed(v):
        if sys.version < "3":
            c = ord(c)
        acc += p * c
        p = p << 8

    string = ""
    while acc:
        acc, idx = divmod(acc, 58)
        string = alphabet[idx : idx + 1] + string
    return string


class Mnemonic(object):
    def __init__(self, language):
        self.radix = 2048
        if sys.version < "3":
            with open("%s/%s.txt" % (self._get_directory(), language), "r") as f:
                self.wordlist = [w.strip().decode("utf8") for w in f.readlines()]
        else:
            with open(
                "%s/%s.txt" % (self._get_directory(), language), "r", encoding="utf-8"
            ) as f:
                self.wordlist = [w.strip() for w in f.readlines()]
        if len(self.wordlist) != self.radix:
            raise ConfigurationError(
                "Wordlist should contain %d words, but it contains %d words."
                % (self.radix, len(self.wordlist))
            )

    @classmethod
    def _get_directory(cls):
        return os.path.join(os.path.dirname(__file__), "wordlist")

    @classmethod
    def list_languages(cls):
        return [
            f.split(".")[0]
            for f in os.listdir(cls._get_directory())
            if f.endswith(".txt")
        ]

    @classmethod
    def normalize_string(cls, txt):
        if isinstance(txt, str if sys.version < "3" else bytes):
            utxt = txt.decode("utf8")
        elif isinstance(txt, unicode if sys.version < "3" else str):  # noqa: F821
            utxt = txt
        else:
            raise TypeError("String value expected")

        return unicodedata.normalize("NFKD", utxt)

    @classmethod
    def detect_language(cls, code):
        code = cls.normalize_string(code)
        first = code.split(" ")[0]
        languages = cls.list_languages()

        for lang in languages:
            mnemo = cls(lang)
            if first in mnemo.wordlist:
                return lang

        raise ConfigurationError("Language not detected")

    def generate(self, strength=128):
        if strength not in [128, 160, 192, 224, 256]:
            raise ValueError(
                "Strength should be one of the following [128, 160, 192, 224, 256], but it is not (%d)."
                % strength
            )
        return self.to_mnemonic(os.urandom(strength // 8))

    # Adapted from <http://tinyurl.com/oxmn476>
    def to_entropy(self, words):
        if not isinstance(words, list):
            words = words.split(" ")
        if len(words) not in [12, 15, 18, 21, 24]:
            raise ValueError(
                "Number of words must be one of the following: [12, 15, 18, 21, 24], but it is not (%d)."
                % len(words)
            )
        # Look up all the words in the list and construct the
        # concatenation of the original entropy and the checksum.
        concatLenBits = len(words) * 11
        concatBits = [False] * concatLenBits
        wordindex = 0
        if self.detect_language(" ".join(words)) == "english":
            use_binary_search = True
        else:
            use_binary_search = False
        for word in words:
            # Find the words index in the wordlist
            ndx = (
                binary_search(self.wordlist, word)
                if use_binary_search
                else self.wordlist.index(word)
            )
            if ndx < 0:
                raise LookupError('Unable to find "%s" in word list.' % word)
            # Set the next 11 bits to the value of the index.
            for ii in range(11):
                concatBits[(wordindex * 11) + ii] = (ndx & (1 << (10 - ii))) != 0
            wordindex += 1
        checksumLengthBits = concatLenBits // 33
        entropyLengthBits = concatLenBits - checksumLengthBits
        # Extract original entropy as bytes.
        entropy = bytearray(entropyLengthBits // 8)
        for ii in range(len(entropy)):
            for jj in range(8):
                if concatBits[(ii * 8) + jj]:
                    entropy[ii] |= 1 << (7 - jj)
        # Take the digest of the entropy.
        hashBytes = hashlib.sha256(entropy).digest()
        if sys.version < "3":
            hashBits = list(
                itertools.chain.from_iterable(
                    (
                        [ord(c) & (1 << (7 - i)) != 0 for i in range(8)]
                        for c in hashBytes
                    )
                )
            )
        else:
            hashBits = list(
                itertools.chain.from_iterable(
                    ([c & (1 << (7 - i)) != 0 for i in range(8)] for c in hashBytes)
                )
            )
        # Check all the checksum bits.
        for i in range(checksumLengthBits):
            if concatBits[entropyLengthBits + i] != hashBits[i]:
                raise ValueError("Failed checksum.")
        return entropy

    def to_mnemonic(self, data):
        if len(data) not in [16, 20, 24, 28, 32]:
            raise ValueError(
                "Data length should be one of the following: [16, 20, 24, 28, 32], but it is not (%d)."
                % len(data)
            )
        h = hashlib.sha256(data).hexdigest()
        b = (
            bin(int(binascii.hexlify(data), 16))[2:].zfill(len(data) * 8)
            + bin(int(h, 16))[2:].zfill(256)[: len(data) * 8 // 32]
        )
        result = []
        for i in range(len(b) // 11):
            idx = int(b[i * 11 : (i + 1) * 11], 2)
            result.append(self.wordlist[idx])
        if (
            self.detect_language(" ".join(result)) == "japanese"
        ):  # Japanese must be joined by ideographic space.
            result_phrase = u"\u3000".join(result)
        else:
            result_phrase = " ".join(result)
        return result_phrase

    def check(self, mnemonic):
        mnemonic = self.normalize_string(mnemonic).split(" ")
        # list of valid mnemonic lengths
        if len(mnemonic) not in [12, 15, 18, 21, 24]:
            return False
        try:
            idx = map(lambda x: bin(self.wordlist.index(x))[2:].zfill(11), mnemonic)
            b = "".join(idx)
        except ValueError:
            return False
        l = len(b)  # noqa: E741
        d = b[: l // 33 * 32]
        h = b[-l // 33 :]
        nd = binascii.unhexlify(hex(int(d, 2))[2:].rstrip("L").zfill(l // 33 * 8))
        nh = bin(int(hashlib.sha256(nd).hexdigest(), 16))[2:].zfill(256)[: l // 33]
        return h == nh

    def expand_word(self, prefix):
        if prefix in self.wordlist:
            return prefix
        else:
            matches = [word for word in self.wordlist if word.startswith(prefix)]
            if len(matches) == 1:  # matched exactly one word in the wordlist
                return matches[0]
            else:
                # exact match not found.
                # this is not a validation routine, just return the input
                return prefix

    def expand(self, mnemonic):
        return " ".join(map(self.expand_word, mnemonic.split(" ")))

    @classmethod
    def to_seed(cls, mnemonic, passphrase=""):
        mnemonic = cls.normalize_string(mnemonic)
        passphrase = cls.normalize_string(passphrase)
        passphrase = "mnemonic" + passphrase
        mnemonic = mnemonic.encode("utf-8")
        passphrase = passphrase.encode("utf-8")
        stretched = hashlib.pbkdf2_hmac("sha512", mnemonic, passphrase, PBKDF2_ROUNDS)
        return stretched[:64]

    @classmethod
    def to_hd_master_key(cls, seed):
        if len(seed) != 64:
            raise ValueError("Provided seed should have length of 64")

        # Compute HMAC-SHA512 of seed
        seed = hmac.new(b"Bitcoin seed", seed, digestmod=hashlib.sha512).digest()

        # Serialization format can be found at: https://github.com/bitcoin/bips/blob/master/bip-0032.mediawiki#Serialization_format
        xprv = b"\x04\x88\xad\xe4"  # Version for private mainnet
        xprv += b"\x00" * 9  # Depth, parent fingerprint, and child number
        xprv += seed[32:]  # Chain code
        xprv += b"\x00" + seed[:32]  # Master key

        # Double hash using SHA256
        hashed_xprv = hashlib.sha256(xprv).digest()
        hashed_xprv = hashlib.sha256(hashed_xprv).digest()

        # Append 4 bytes of checksum
        xprv += hashed_xprv[:4]

        # Return base58
        return b58encode(xprv)


def main():
    import binascii
    import sys

    if len(sys.argv) > 1:
        data = sys.argv[1]
    else:
        data = sys.stdin.readline().strip()
    data = binascii.unhexlify(data)
    m = Mnemonic("english")
    print(m.to_mnemonic(data))


if __name__ == "__main__":
    main()