Golang 语言版本奇亚(Chia, XCH) 核心之创建私钥、助记词和指纹(公钥)

yufei       4 月, 3 周 前       491

之前写过一篇 Python3.9 版本的创建私钥、助记词和指纹(公钥) Python 版本奇亚(Chia, XCH) 核心之创建私钥、助记词和指纹(公钥),现在在写一份 Go语言版的

首先要感谢 chuwt 大大写的类库 github.com/chuwt/chia-bls-go,我本来计划自己一步一步写的,没想到人家已经实现了。

go get github.com/chuwt/chia-bls-go

它的类库加上我下面提出来的 bip39.go 合起来就是一个完整的 chia 私钥类库了

第一步创建模块

首先创建模块,比如 xxa

mkdir xxa
cd xxa
go mod init xxa

然后使用 go get 引入相关类库

go get github.com/chuwt/chia-bls-go
go get golang.org/x/crypto/pbkdf2

第二步添加 bip39.go 相关勒

mkdir bip39
touch bip39/bip39.go

然后把下面的内容加入到 bip39.go

bip39/bip39.go

// Package bip39 is the Golang implementation of the BIP39 spec.
//
// The official BIP39 spec can be found at
// https://github.com/bitcoin/bips/blob/master/bip-0039.mediawiki
package bip39

import (
    "crypto/rand"
    "crypto/sha512"
    "encoding/binary"
    "errors"
    "fmt"
    "math/big"
    "strings"

    "golang.org/x/crypto/pbkdf2"
)

var english = []string{"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", "hour", "hover", "hub", "huge", "human", "humble", "humor", "hundred", "hungry", "hunt", "hurdle", "hurry", "hurt", "husband", "hybrid", "ice", "icon", "idea", "identify", "idle", "ignore", "ill", "illegal", "illness", "image", "imitate", "immense", "immune", "impact", "impose", "improve", "impulse", "inch", "include", "income", "increase", "index", "indicate", "indoor", "industry", "infant", "inflict", "inform", "inhale", "inherit", "initial", "inject", "injury", "inmate", "inner", "innocent", "input", "inquiry", "insane", "insect", "inside", "inspire", "install", "intact", "interest", "into", "invest", "invite", "involve", "iron", "island", "isolate", "issue", "item", "ivory", "jacket", "jaguar", "jar", "jazz", "jealous", "jeans", "jelly", "jewel", "job", "join", "joke", "journey", "joy", "judge", "juice", "jump", "jungle", "junior", "junk", "just", "kangaroo", "keen", "keep", "ketchup", "key", "kick", "kid", "kidney", "kind", "kingdom", "kiss", "kit", "kitchen", "kite", "kitten", "kiwi", "knee", "knife", "knock", "know", "lab", "label", "labor", "ladder", "lady", "lake", "lamp", "language", "laptop", "large", "later", "latin", "laugh", "laundry", "lava", "law", "lawn", "lawsuit", "layer", "lazy", "leader", "leaf", "learn", "leave", "lecture", "left", "leg", "legal", "legend", "leisure", "lemon", "lend", "length", "lens", "leopard", "lesson", "letter", "level", "liar", "liberty", "library", "license", "life", "lift", "light", "like", "limb", "limit", "link", "lion", "liquid", "list", "little", "live", "lizard", "load", "loan", "lobster", "local", "lock", "logic", "lonely", "long", "loop", "lottery", "loud", "lounge", "love", "loyal", "lucky", "luggage", "lumber", "lunar", "lunch", "luxury", "lyrics", "machine", "mad", "magic", "magnet", "maid", "mail", "main", "major", "make", "mammal", "man", "manage", "mandate", "mango", "mansion", "manual", "maple", "marble", "march", "margin", "marine", "market", "marriage", "mask", "mass", "master", "match", "material", "math", "matrix", "matter", "maximum", "maze", "meadow", "mean", "measure", "meat", "mechanic", "medal", "media", "melody", "melt", "member", "memory", "mention", "menu", "mercy", "merge", "merit", "merry", "mesh", "message", "metal", "method", "middle", "midnight", "milk", "million", "mimic", "mind", "minimum", "minor", "minute", "miracle", "mirror", "misery", "miss", "mistake", "mix", "mixed", "mixture", "mobile", "model", "modify", "mom", "moment", "monitor", "monkey", "monster", "month", "moon", "moral", "more", "morning", "mosquito", "mother", "motion", "motor", "mountain", "mouse", "move", "movie", "much", "muffin", "mule", "multiply", "muscle", "museum", "mushroom", "music", "must", "mutual", "myself", "mystery", "myth", "naive", "name", "napkin", "narrow", "nasty", "nation", "nature", "near", "neck", "need", "negative", "neglect", "neither", "nephew", "nerve", "nest", "net", "network", "neutral", "never", "news", "next", "nice", "night", "noble", "noise", "nominee", "noodle", "normal", "north", "nose", "notable", "note", "nothing", "notice", "novel", "now", "nuclear", "number", "nurse", "nut", "oak", "obey", "object", "oblige", "obscure", "observe", "obtain", "obvious", "occur", "ocean", "october", "odor", "off", "offer", "office", "often", "oil", "okay", "old", "olive", "olympic", "omit", "once", "one", "onion", "online", "only", "open", "opera", "opinion", "oppose", "option", "orange", "orbit", "orchard", "order", "ordinary", "organ", "orient", "original", "orphan", "ostrich", "other", "outdoor", "outer", "output", "outside", "oval", "oven", "over", "own", "owner", "oxygen", "oyster", "ozone", "pact", "paddle", "page", "pair", "palace", "palm", "panda", "panel", "panic", "panther", "paper", "parade", "parent", "park", "parrot", "party", "pass", "patch", "path", "patient", "patrol", "pattern", "pause", "pave", "payment", "peace", "peanut", "pear", "peasant", "pelican", "pen", "penalty", "pencil", "people", "pepper", "perfect", "permit", "person", "pet", "phone", "photo", "phrase", "physical", "piano", "picnic", "picture", "piece", "pig", "pigeon", "pill", "pilot", "pink", "pioneer", "pipe", "pistol", "pitch", "pizza", "place", "planet", "plastic", "plate", "play", "please", "pledge", "pluck", "plug", "plunge", "poem", "poet", "point", "polar", "pole", "police", "pond", "pony", "pool", "popular", "portion", "position", "possible", "post", "potato", "pottery", "poverty", "powder", "power", "practice", "praise", "predict", "prefer", "prepare", "present", "pretty", "prevent", "price", "pride", "primary", "print", "priority", "prison", "private", "prize", "problem", "process", "produce", "profit", "program", "project", "promote", "proof", "property", "prosper", "protect", "proud", "provide", "public", "pudding", "pull", "pulp", "pulse", "pumpkin", "punch", "pupil", "puppy", "purchase", "purity", "purpose", "purse", "push", "put", "puzzle", "pyramid", "quality", "quantum", "quarter", "question", "quick", "quit", "quiz", "quote", "rabbit", "raccoon", "race", "rack", "radar", "radio", "rail", "rain", "raise", "rally", "ramp", "ranch", "random", "range", "rapid", "rare", "rate", "rather", "raven", "raw", "razor", "ready", "real", "reason", "rebel", "rebuild", "recall", "receive", "recipe", "record", "recycle", "reduce", "reflect", "reform", "refuse", "region", "regret", "regular", "reject", "relax", "release", "relief", "rely", "remain", "remember", "remind", "remove", "render", "renew", "rent", "reopen", "repair", "repeat", "replace", "report", "require", "rescue", "resemble", "resist", "resource", "response", "result", "retire", "retreat", "return", "reunion", "reveal", "review", "reward", "rhythm", "rib", "ribbon", "rice", "rich", "ride", "ridge", "rifle", "right", "rigid", "ring", "riot", "ripple", "risk", "ritual", "rival", "river", "road", "roast", "robot", "robust", "rocket", "romance", "roof", "rookie", "room", "rose", "rotate", "rough", "round", "route", "royal", "rubber", "rude", "rug", "rule", "run", "runway", "rural", "sad", "saddle", "sadness", "safe", "sail", "salad", "salmon", "salon", "salt", "salute", "same", "sample", "sand", "satisfy", "satoshi", "sauce", "sausage", "save", "say", "scale", "scan", "scare", "scatter", "scene", "scheme", "school", "science", "scissors", "scorpion", "scout", "scrap", "screen", "script", "scrub", "sea", "search", "season", "seat", "second", "secret", "section", "security", "seed", "seek", "segment", "select", "sell", "seminar", "senior", "sense", "sentence", "series", "service", "session", "settle", "setup", "seven", "shadow", "shaft", "shallow", "share", "shed", "shell", "sheriff", "shield", "shift", "shine", "ship", "shiver", "shock", "shoe", "shoot", "shop", "short", "shoulder", "shove", "shrimp", "shrug", "shuffle", "shy", "sibling", "sick", "side", "siege", "sight", "sign", "silent", "silk", "silly", "silver", "similar", "simple", "since", "sing", "siren", "sister", "situate", "six", "size", "skate", "sketch", "ski", "skill", "skin", "skirt", "skull", "slab", "slam", "sleep", "slender", "slice", "slide", "slight", "slim", "slogan", "slot", "slow", "slush", "small", "smart", "smile", "smoke", "smooth", "snack", "snake", "snap", "sniff", "snow", "soap", "soccer", "social", "sock", "soda", "soft", "solar", "soldier", "solid", "solution", "solve", "someone", "song", "soon", "sorry", "sort", "soul", "sound", "soup", "source", "south", "space", "spare", "spatial", "spawn", "speak", "special", "speed", "spell", "spend", "sphere", "spice", "spider", "spike", "spin", "spirit", "split", "spoil", "sponsor", "spoon", "sport", "spot", "spray", "spread", "spring", "spy", "square", "squeeze", "squirrel", "stable", "stadium", "staff", "stage", "stairs", "stamp", "stand", "start", "state", "stay", "steak", "steel", "stem", "step", "stereo", "stick", "still", "sting", "stock", "stomach", "stone", "stool", "story", "stove", "strategy", "street", "strike", "strong", "struggle", "student", "stuff", "stumble", "style", "subject", "submit", "subway", "success", "such", "sudden", "suffer", "sugar", "suggest", "suit", "summer", "sun", "sunny", "sunset", "super", "supply", "supreme", "sure", "surface", "surge", "surprise", "surround", "survey", "suspect", "sustain", "swallow", "swamp", "swap", "swarm", "swear", "sweet", "swift", "swim", "swing", "switch", "sword", "symbol", "symptom", "syrup", "system", "table", "tackle", "tag", "tail", "talent", "talk", "tank", "tape", "target", "task", "taste", "tattoo", "taxi", "teach", "team", "tell", "ten", "tenant", "tennis", "tent", "term", "test", "text", "thank", "that", "theme", "then", "theory", "there", "they", "thing", "this", "thought", "three", "thrive", "throw", "thumb", "thunder", "ticket", "tide", "tiger", "tilt", "timber", "time", "tiny", "tip", "tired", "tissue", "title", "toast", "tobacco", "today", "toddler", "toe", "together", "toilet", "token", "tomato", "tomorrow", "tone", "tongue", "tonight", "tool", "tooth", "top", "topic", "topple", "torch", "tornado", "tortoise", "toss", "total", "tourist", "toward", "tower", "town", "toy", "track", "trade", "traffic", "tragic", "train", "transfer", "trap", "trash", "travel", "tray", "treat", "tree", "trend", "trial", "tribe", "trick", "trigger", "trim", "trip", "trophy", "trouble", "truck", "true", "truly", "trumpet", "trust", "truth", "try", "tube", "tuition", "tumble", "tuna", "tunnel", "turkey", "turn", "turtle", "twelve", "twenty", "twice", "twin", "twist", "two", "type", "typical", "ugly", "umbrella", "unable", "unaware", "uncle", "uncover", "under", "undo", "unfair", "unfold", "unhappy", "uniform", "unique", "unit", "universe", "unknown", "unlock", "until", "unusual", "unveil", "update", "upgrade", "uphold", "upon", "upper", "upset", "urban", "urge", "usage", "use", "used", "useful", "useless", "usual", "utility", "vacant", "vacuum", "vague", "valid", "valley", "valve", "van", "vanish", "vapor", "various", "vast", "vault", "vehicle", "velvet", "vendor", "venture", "venue", "verb", "verify", "version", "very", "vessel", "veteran", "viable", "vibrant", "vicious", "victory", "video", "view", "village", "vintage", "violin", "virtual", "virus", "visa", "visit", "visual", "vital", "vivid", "vocal", "voice", "void", "volcano", "volume", "vote", "voyage", "wage", "wagon", "wait", "walk", "wall", "walnut", "want", "warfare", "warm", "warrior", "wash", "wasp", "waste", "water", "wave", "way", "wealth", "weapon", "wear", "weasel", "weather", "web", "wedding", "weekend", "weird", "welcome", "west", "wet", "whale", "what", "wheat", "wheel", "when", "where", "whip", "whisper", "wide", "width", "wife", "wild", "will", "win", "window", "wine", "wing", "wink", "winner", "winter", "wire", "wisdom", "wise", "wish", "witness", "wolf", "woman", "wonder", "wood", "wool", "word", "work", "world", "worry", "worth", "wrap", "wreck", "wrestle", "wrist", "write", "wrong", "yard", "year", "yellow", "you", "young", "youth", "zebra", "zero", "zone", "zoo"}

var (
    // Some bitwise operands for working with big.Ints.
    last11BitsMask  = big.NewInt(2047)
    shift11BitsMask = big.NewInt(2048)
    bigOne          = big.NewInt(1)
    bigTwo          = big.NewInt(2)

    // wordList is the set of words to use.
    wordList []string

    // wordMap is a reverse lookup map for wordList.
    wordMap map[string]int
)

var (
    // ErrInvalidMnemonic is returned when trying to use a malformed mnemonic.
    ErrInvalidMnemonic = errors.New("Invalid mnenomic")

    // ErrEntropyLengthInvalid is returned when trying to use an entropy set with
    // an invalid size.
    ErrEntropyLengthInvalid = errors.New("Entropy length must be [128, 256] and a multiple of 32")

    // ErrValidatedSeedLengthMismatch is returned when a validated seed is not the
    // same size as the given seed. This should never happen is present only as a
    // sanity assertion.
    ErrValidatedSeedLengthMismatch = errors.New("Seed length does not match validated seed length")
)

func init() {
    SetWordList(english)
}

// SetWordList sets the list of words to use for mnemonics. Currently the list
// that is set is used package-wide.
func SetWordList(list []string) {
    wordList = list
    wordMap = map[string]int{}

    for i, v := range wordList {
        wordMap[v] = i
    }
}

// GetWordList gets the list of words to use for mnemonics.
func GetWordList() []string {
    return wordList
}

// GetWordIndex gets word index in wordMap.
func GetWordIndex(word string) (int, bool) {
    idx, ok := wordMap[word]
    return idx, ok
}

// NewEntropy will create random entropy bytes
// so long as the requested size bitSize is an appropriate size.
//
// bitSize has to be a multiple 32 and be within the inclusive range of {128, 256}.
func NewEntropy(bitSize int) ([]byte, error) {
    if err := validateEntropyBitSize(bitSize); err != nil {
        return nil, err
    }

    entropy := make([]byte, bitSize/8)
    _, _ = rand.Read(entropy) // err is always nil

    return entropy, nil
}

// EntropyFromMnemonic takes a mnemonic generated by this library,
// and returns the input entropy used to generate the given mnemonic.
// An error is returned if the given mnemonic is invalid.
func EntropyFromMnemonic(mnemonic string) ([]byte, error) {
    mnemonicSlice, isValid := splitMnemonicWords(mnemonic)
    if !isValid {
        return nil, ErrInvalidMnemonic
    }

    // Decode the words into a big.Int.
    var (
        wordBytes [2]byte
        b         = big.NewInt(0)
    )

    for _, v := range mnemonicSlice {
        index, found := wordMap[v]
        if !found {
            return nil, fmt.Errorf("word `%v` not found in reverse map", v)
        }

        binary.BigEndian.PutUint16(wordBytes[:], uint16(index))
        b.Mul(b, shift11BitsMask)
        b.Or(b, big.NewInt(0).SetBytes(wordBytes[:]))
    }
    // The entropy is the underlying bytes of the big.Int. Any upper bytes of
    // all 0's are not returned so we pad the beginning of the slice with empty
    // bytes if necessary.
    entropy := b.Bytes()
    entropy = padByteSlice(entropy, len(mnemonicSlice)/3*4)

    return entropy, nil
}

// NewMnemonic will return a string consisting of the mnemonic words for
// the given entropy.
// If the provide entropy is invalid, an error will be returned.
func NewMnemonic(entropy []byte) (string, error) {
    // Compute some lengths for convenience.
    entropyBitLength := len(entropy) * 8
    checksumBitLength := entropyBitLength / 32
    sentenceLength := (entropyBitLength + checksumBitLength) / 11

    // Validate that the requested size is supported.
    err := validateEntropyBitSize(entropyBitLength)
    if err != nil {
        return "", err
    }

    // Break entropy up into sentenceLength chunks of 11 bits.
    // For each word AND mask the rightmost 11 bits and find the word at that index.
    // Then bitshift entropy 11 bits right and repeat.
    // Add to the last empty slot so we can work with LSBs instead of MSB.

    // Entropy as an int so we can bitmask without worrying about bytes slices.
    entropyInt := new(big.Int).SetBytes(entropy)

    // Slice to hold words in.
    words := make([]string, sentenceLength)

    // Throw away big.Int for AND masking.
    word := big.NewInt(0)

    for i := sentenceLength - 1; i >= 0; i-- {
        // Get 11 right most bits and bitshift 11 to the right for next time.
        word.And(entropyInt, last11BitsMask)
        entropyInt.Div(entropyInt, shift11BitsMask)

        // Get the bytes representing the 11 bits as a 2 byte slice.
        wordBytes := padByteSlice(word.Bytes(), 2)

        // Convert bytes to an index and add that word to the list.
        words[i] = wordList[binary.BigEndian.Uint16(wordBytes)]
    }

    return strings.Join(words, " "), nil
}

// MnemonicToByteArray takes a mnemonic string and turns it into a byte array
// suitable for creating another mnemonic.
// An error is returned if the mnemonic is invalid.
func MnemonicToByteArray(mnemonic string, raw ...bool) ([]byte, error) {
    var (
        mnemonicSlice   = strings.Split(mnemonic, " ")
        entropyBitSize  = len(mnemonicSlice) * 11
        checksumBitSize = entropyBitSize % 32
        fullByteSize    = (entropyBitSize-checksumBitSize)/8 + 1
    )

    // Turn into raw entropy.
    rawEntropyBytes, err := EntropyFromMnemonic(mnemonic)
    if err != nil {
        return nil, err
    }

    // If we want the raw entropy then we're done.
    if len(raw) > 0 && raw[0] {
        return rawEntropyBytes, nil
    }

    // Otherwise add the checksum before returning
    return padByteSlice(rawEntropyBytes, fullByteSize), nil
}

// NewSeedWithErrorChecking creates a hashed seed output given the mnemonic string and a password.
// An error is returned if the mnemonic is not convertible to a byte array.
func NewSeedFromMnemonic(mnemonic string, password string) ([]byte, error) {
    _, err := MnemonicToByteArray(mnemonic)
    if err != nil {
        return nil, err
    }

    return NewSeed(mnemonic, password), nil
}

// NewSeed creates a hashed seed output given a provided string and password.
// No checking is performed to validate that the string provided is a valid mnemonic.
func NewSeed(mnemonic string, password string) []byte {
    return pbkdf2.Key([]byte(mnemonic), []byte("mnemonic"+password), 2048, 64, sha512.New)
}

// IsMnemonicValid attempts to verify that the provided mnemonic is valid.
// Validity is determined by both the number of words being appropriate,
// and that all the words in the mnemonic are present in the word list.
func IsMnemonicValid(mnemonic string) bool {
    _, err := EntropyFromMnemonic(mnemonic)
    return err == nil
}

// validateEntropyBitSize ensures that entropy is the correct size for being a
// mnemonic.
func validateEntropyBitSize(bitSize int) error {
    if (bitSize%32) != 0 || bitSize < 128 || bitSize > 256 {
        return ErrEntropyLengthInvalid
    }

    return nil
}

// padByteSlice returns a byte slice of the given size with contents of the
// given slice left padded and any empty spaces filled with 0's.
func padByteSlice(slice []byte, length int) []byte {
    offset := length - len(slice)
    if offset <= 0 {
        return slice
    }

    newSlice := make([]byte, length)
    copy(newSlice[offset:], slice)

    return newSlice
}

func splitMnemonicWords(mnemonic string) ([]string, bool) {
    // Create a list of all the words in the mnemonic sentence
    words := strings.Fields(mnemonic)

    // Get num of words
    numOfWords := len(words)

    // The number of words should be 12, 15, 18, 21 or 24
    if numOfWords%3 != 0 || numOfWords < 12 || numOfWords > 24 {
        return nil, false
    }

    return words, true
}

最后,你就可以愉快的使用了

main.go

package main

import (
    "encoding/hex"
    "fmt"
    "xxa/bip39"

    chia "github.com/chuwt/chia-bls-go"
)

func main() {

    //entropy, _ := bip39.NewEntropy(256)
    w, _ := bip39.NewMnemonic(entropy)
    masterSk := chia.KeyGenWithMnemonic(w, "110220")
    seed, err := bip39.NewSeedFromMnemonic(w, "110220")
    if err != nil {
        panic(err)
    }
    masterPk := masterSk.GetPublicKey()
    fmt.Println("mnemonic:", w)
    fmt.Println("seed:", hex.EncodeToString(seed))
    fmt.Println("masterSk:", hex.EncodeToString(masterSk.Bytes()))
    fmt.Println("masterPk:", hex.EncodeToString(masterPk.Bytes()))
    fmt.Println("fingerprint:", masterPk.FingerPrint())
}

运行结果如下

mnemonic: abstract fade cage differ member museum enroll diesel gospel embrace leopard infant identify offer impact battle shaft desk end scrub laundry trust quit dentist
seed: 630fbe8ecb7dc68fadc842b9ea289b5dbb99a49aed44124a1a800c79240613e207abb63bb2fa4f66077ab182a424eb40a1eda6e16c740d7b2ffff0650f07d83e
masterSk: 22cb2f18c945bf32b65db68dd0d139d5a27d29be29e8ea2cd7f1c47b1bfbabf3
masterPk: b4ef566ac52253d522857426e0715e90bd74fed99f0d0a1c05d43e01e1c1e7c0791472c6a4c00e4bb6e27667801593d2
fingerprint: 3480941189
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