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split_by_words.py
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executable file
·2171 lines (2140 loc) · 30.2 KB
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#!/usr/bin/env python
"""
# One-time pad for mnemonics
An intentionally simple algorithm with an intentionally simple (read: easily recreated from memory) implementation.
## split
Input:
1. a wordlist [wordlist]
2. a list of words from the wordlist [mnemonic]
Output:
1. [mnemonic1]
2. [mnemonic2]
satisfying:
[mnemonic] = [mnemonic1] + [mnemonic2]
where "+" is done word-by-word mod len(wordlist)
## recover
Input:
1. a wordlist [wordlist]
2. a list of words from the wordlist [mnemonic1]
3. a list of words from the wordlist [mnemonic2]
Output:
1. [mnemonic]
## Notes
* current electrum/bip39 word list has `2048 = 2**11` words (2022-04-26)
"""
from typing import List, Tuple
import secrets
import sys
Mnemonic = List[str]
class Wordlist:
def __init__(self, word_list) -> None:
self.word_list = word_list
self.word_list_len = len(word_list)
def split(self, mnemonic: Mnemonic) -> Tuple[Mnemonic, Mnemonic]:
mnemonic1: Mnemonic = []
mnemonic2: Mnemonic = []
for word in mnemonic:
# generate a random mnemonic
index1 = secrets.randbelow(self.word_list_len)
word1 = self.word_list[index1]
mnemonic1.append(word1)
# find mnemonic2 such that mnemonic = mnemonic1 + mnemonic2
index = self.word_list.index(word)
index2 = (index - index1) % self.word_list_len
word2 = self.word_list[index2]
mnemonic2.append(word2)
return (mnemonic1, mnemonic2)
def combine(self, mnemonic1: Mnemonic, mnemonic2: Mnemonic) -> Mnemonic:
"""
>>> w = Wordlist(WORD_LIST)
>>> s1, s2 = w.split('six slush unknown light horn patrol accident file later calm estate floor'.split())
>>> w.combine(s1, s2)
['six', 'slush', 'unknown', 'light', 'horn', 'patrol', 'accident', 'file', 'later', 'calm', 'estate', 'floor']
"""
if len(mnemonic1) != len(mnemonic2):
raise ValueError("Mnemonic lengths are not equal!")
mnemonic: Mnemonic = []
for word1, word2 in zip(mnemonic1, mnemonic2):
index1 = self.word_list.index(word1)
index2 = self.word_list.index(word2)
index = (index1 + index2) % self.word_list_len
word = self.word_list[index]
mnemonic.append(word)
return mnemonic
def usage():
print(
' split "w1 w2 w3 ..."\n'
'\n'
' combine "u1 u2 u3 ..." "v1 v2 v3 ..."'
)
def main():
if len(sys.argv) <= 1:
usage()
sys.exit(1)
wordlist = Wordlist(WORD_LIST)
command = sys.argv[1]
if command == "split":
s1, s2 = wordlist.split(sys.argv[2].split())
print("mnemonic1: ", " ".join(s1))
print("mnemonic2: ", " ".join(s2))
elif command == "combine":
original = wordlist.combine(sys.argv[2].split(), sys.argv[3].split())
print("mnemonic: ", " ".join(original))
else:
usage()
sys.exit(1)
# These two commonly used lists are currently the same:
# * electrum: https://github.com/spesmilo/electrum/blob/097ac144d976eb46dff809e1809783dc78ab6d8b/electrum/wordlist/english.txt
# * bip39: https://github.com/bitcoin/bips/blob/ce1862ac6bcffa1dd20aad858380e51e66e949ea/bip-0039/english.txt
WORD_LIST = [
"abandon",
"ability",
"able",
"about",
"above",
"absent",
"absorb",
"abstract",
"absurd",
"abuse",
"access",
"accident",
"account",
"accuse",
"achieve",
"acid",
"acoustic",
"acquire",
"across",
"act",
"action",
"actor",
"actress",
"actual",
"adapt",
"add",
"addict",
"address",
"adjust",
"admit",
"adult",
"advance",
"advice",
"aerobic",
"affair",
"afford",
"afraid",
"again",
"age",
"agent",
"agree",
"ahead",
"aim",
"air",
"airport",
"aisle",
"alarm",
"album",
"alcohol",
"alert",
"alien",
"all",
"alley",
"allow",
"almost",
"alone",
"alpha",
"already",
"also",
"alter",
"always",
"amateur",
"amazing",
"among",
"amount",
"amused",
"analyst",
"anchor",
"ancient",
"anger",
"angle",
"angry",
"animal",
"ankle",
"announce",
"annual",
"another",
"answer",
"antenna",
"antique",
"anxiety",
"any",
"apart",
"apology",
"appear",
"apple",
"approve",
"april",
"arch",
"arctic",
"area",
"arena",
"argue",
"arm",
"armed",
"armor",
"army",
"around",
"arrange",
"arrest",
"arrive",
"arrow",
"art",
"artefact",
"artist",
"artwork",
"ask",
"aspect",
"assault",
"asset",
"assist",
"assume",
"asthma",
"athlete",
"atom",
"attack",
"attend",
"attitude",
"attract",
"auction",
"audit",
"august",
"aunt",
"author",
"auto",
"autumn",
"average",
"avocado",
"avoid",
"awake",
"aware",
"away",
"awesome",
"awful",
"awkward",
"axis",
"baby",
"bachelor",
"bacon",
"badge",
"bag",
"balance",
"balcony",
"ball",
"bamboo",
"banana",
"banner",
"bar",
"barely",
"bargain",
"barrel",
"base",
"basic",
"basket",
"battle",
"beach",
"bean",
"beauty",
"because",
"become",
"beef",
"before",
"begin",
"behave",
"behind",
"believe",
"below",
"belt",
"bench",
"benefit",
"best",
"betray",
"better",
"between",
"beyond",
"bicycle",
"bid",
"bike",
"bind",
"biology",
"bird",
"birth",
"bitter",
"black",
"blade",
"blame",
"blanket",
"blast",
"bleak",
"bless",
"blind",
"blood",
"blossom",
"blouse",
"blue",
"blur",
"blush",
"board",
"boat",
"body",
"boil",
"bomb",
"bone",
"bonus",
"book",
"boost",
"border",
"boring",
"borrow",
"boss",
"bottom",
"bounce",
"box",
"boy",
"bracket",
"brain",
"brand",
"brass",
"brave",
"bread",
"breeze",
"brick",
"bridge",
"brief",
"bright",
"bring",
"brisk",
"broccoli",
"broken",
"bronze",
"broom",
"brother",
"brown",
"brush",
"bubble",
"buddy",
"budget",
"buffalo",
"build",
"bulb",
"bulk",
"bullet",
"bundle",
"bunker",
"burden",
"burger",
"burst",
"bus",
"business",
"busy",
"butter",
"buyer",
"buzz",
"cabbage",
"cabin",
"cable",
"cactus",
"cage",
"cake",
"call",
"calm",
"camera",
"camp",
"can",
"canal",
"cancel",
"candy",
"cannon",
"canoe",
"canvas",
"canyon",
"capable",
"capital",
"captain",
"car",
"carbon",
"card",
"cargo",
"carpet",
"carry",
"cart",
"case",
"cash",
"casino",
"castle",
"casual",
"cat",
"catalog",
"catch",
"category",
"cattle",
"caught",
"cause",
"caution",
"cave",
"ceiling",
"celery",
"cement",
"census",
"century",
"cereal",
"certain",
"chair",
"chalk",
"champion",
"change",
"chaos",
"chapter",
"charge",
"chase",
"chat",
"cheap",
"check",
"cheese",
"chef",
"cherry",
"chest",
"chicken",
"chief",
"child",
"chimney",
"choice",
"choose",
"chronic",
"chuckle",
"chunk",
"churn",
"cigar",
"cinnamon",
"circle",
"citizen",
"city",
"civil",
"claim",
"clap",
"clarify",
"claw",
"clay",
"clean",
"clerk",
"clever",
"click",
"client",
"cliff",
"climb",
"clinic",
"clip",
"clock",
"clog",
"close",
"cloth",
"cloud",
"clown",
"club",
"clump",
"cluster",
"clutch",
"coach",
"coast",
"coconut",
"code",
"coffee",
"coil",
"coin",
"collect",
"color",
"column",
"combine",
"come",
"comfort",
"comic",
"common",
"company",
"concert",
"conduct",
"confirm",
"congress",
"connect",
"consider",
"control",
"convince",
"cook",
"cool",
"copper",
"copy",
"coral",
"core",
"corn",
"correct",
"cost",
"cotton",
"couch",
"country",
"couple",
"course",
"cousin",
"cover",
"coyote",
"crack",
"cradle",
"craft",
"cram",
"crane",
"crash",
"crater",
"crawl",
"crazy",
"cream",
"credit",
"creek",
"crew",
"cricket",
"crime",
"crisp",
"critic",
"crop",
"cross",
"crouch",
"crowd",
"crucial",
"cruel",
"cruise",
"crumble",
"crunch",
"crush",
"cry",
"crystal",
"cube",
"culture",
"cup",
"cupboard",
"curious",
"current",
"curtain",
"curve",
"cushion",
"custom",
"cute",
"cycle",
"dad",
"damage",
"damp",
"dance",
"danger",
"daring",
"dash",
"daughter",
"dawn",
"day",
"deal",
"debate",
"debris",
"decade",
"december",
"decide",
"decline",
"decorate",
"decrease",
"deer",
"defense",
"define",
"defy",
"degree",
"delay",
"deliver",
"demand",
"demise",
"denial",
"dentist",
"deny",
"depart",
"depend",
"deposit",
"depth",
"deputy",
"derive",
"describe",
"desert",
"design",
"desk",
"despair",
"destroy",
"detail",
"detect",
"develop",
"device",
"devote",
"diagram",
"dial",
"diamond",
"diary",
"dice",
"diesel",
"diet",
"differ",
"digital",
"dignity",
"dilemma",
"dinner",
"dinosaur",
"direct",
"dirt",
"disagree",
"discover",
"disease",
"dish",
"dismiss",
"disorder",
"display",
"distance",
"divert",
"divide",
"divorce",
"dizzy",
"doctor",
"document",
"dog",
"doll",
"dolphin",
"domain",
"donate",
"donkey",
"donor",
"door",
"dose",
"double",
"dove",
"draft",
"dragon",
"drama",
"drastic",
"draw",
"dream",
"dress",
"drift",
"drill",
"drink",
"drip",
"drive",
"drop",
"drum",
"dry",
"duck",
"dumb",
"dune",
"during",
"dust",
"dutch",
"duty",
"dwarf",
"dynamic",
"eager",
"eagle",
"early",
"earn",
"earth",
"easily",
"east",
"easy",
"echo",
"ecology",
"economy",
"edge",
"edit",
"educate",
"effort",
"egg",
"eight",
"either",
"elbow",
"elder",
"electric",
"elegant",
"element",
"elephant",
"elevator",
"elite",
"else",
"embark",
"embody",
"embrace",
"emerge",
"emotion",
"employ",
"empower",
"empty",
"enable",
"enact",
"end",
"endless",
"endorse",
"enemy",
"energy",
"enforce",
"engage",
"engine",
"enhance",
"enjoy",
"enlist",
"enough",
"enrich",
"enroll",
"ensure",
"enter",
"entire",
"entry",
"envelope",
"episode",
"equal",
"equip",
"era",
"erase",
"erode",
"erosion",
"error",
"erupt",
"escape",
"essay",
"essence",
"estate",
"eternal",
"ethics",
"evidence",
"evil",
"evoke",
"evolve",
"exact",
"example",
"excess",
"exchange",
"excite",
"exclude",
"excuse",
"execute",
"exercise",
"exhaust",
"exhibit",
"exile",
"exist",
"exit",
"exotic",
"expand",
"expect",
"expire",
"explain",
"expose",
"express",
"extend",
"extra",
"eye",
"eyebrow",
"fabric",
"face",
"faculty",
"fade",
"faint",
"faith",
"fall",
"false",
"fame",
"family",
"famous",
"fan",
"fancy",
"fantasy",
"farm",
"fashion",
"fat",
"fatal",
"father",
"fatigue",
"fault",
"favorite",
"feature",
"february",
"federal",
"fee",
"feed",
"feel",
"female",
"fence",
"festival",
"fetch",
"fever",
"few",
"fiber",
"fiction",
"field",
"figure",
"file",
"film",
"filter",
"final",
"find",
"fine",
"finger",
"finish",
"fire",
"firm",
"first",
"fiscal",
"fish",
"fit",
"fitness",
"fix",
"flag",
"flame",
"flash",
"flat",
"flavor",
"flee",
"flight",
"flip",
"float",
"flock",
"floor",
"flower",
"fluid",
"flush",
"fly",
"foam",
"focus",
"fog",
"foil",
"fold",
"follow",
"food",
"foot",
"force",
"forest",
"forget",
"fork",
"fortune",
"forum",
"forward",
"fossil",
"foster",
"found",
"fox",
"fragile",
"frame",
"frequent",
"fresh",
"friend",
"fringe",
"frog",
"front",
"frost",
"frown",
"frozen",
"fruit",
"fuel",
"fun",
"funny",
"furnace",
"fury",
"future",
"gadget",
"gain",
"galaxy",
"gallery",
"game",
"gap",
"garage",
"garbage",
"garden",
"garlic",
"garment",
"gas",
"gasp",
"gate",
"gather",
"gauge",
"gaze",
"general",
"genius",
"genre",
"gentle",
"genuine",
"gesture",
"ghost",
"giant",
"gift",
"giggle",
"ginger",
"giraffe",
"girl",
"give",
"glad",
"glance",
"glare",
"glass",
"glide",
"glimpse",
"globe",
"gloom",
"glory",
"glove",
"glow",
"glue",
"goat",
"goddess",
"gold",
"good",
"goose",
"gorilla",
"gospel",
"gossip",
"govern",
"gown",
"grab",
"grace",
"grain",
"grant",
"grape",
"grass",
"gravity",
"great",
"green",
"grid",
"grief",
"grit",
"grocery",
"group",
"grow",
"grunt",
"guard",
"guess",
"guide",
"guilt",
"guitar",
"gun",
"gym",
"habit",
"hair",
"half",
"hammer",
"hamster",
"hand",
"happy",
"harbor",
"hard",
"harsh",
"harvest",
"hat",
"have",
"hawk",
"hazard",
"head",
"health",
"heart",
"heavy",
"hedgehog",
"height",
"hello",
"helmet",
"help",
"hen",
"hero",
"hidden",
"high",
"hill",
"hint",
"hip",
"hire",
"history",
"hobby",
"hockey",
"hold",
"hole",
"holiday",
"hollow",
"home",
"honey",
"hood",
"hope",
"horn",
"horror",
"horse",
"hospital",
"host",
"hotel",