human-id - npm Package Compare versions

Comparing version 2.0.0 to 2.0.1

dist/index.d.ts

 export declare const adjectives: string[];
 export declare const nouns: string[];
 export declare const verbs: string[];
+export declare const minLength: number;
+export declare const maxLength: number;
 export declare const poolSize: number;
@@ -5,0 +7,0 @@ interface Options {

dist/index.js

 "use strict";
 Object.defineProperty(exports, "__esModule", { value: true });
-exports.adjectives = [
-    "afraid", "all", "angry", "beige", "big", "bitter", "blue", "brave", "breezy", "bright", "brown", "bumpy", "busy", "calm", "chatty", "chilled", "chilly", "chubby", "clean", "clever", "cold", "cool", "crazy", "cruel", "cuddly", "curly", "curvy", "cute", "cyan", "deep", "dirty", "dry", "dull", "eager", "early", "easy", "eight", "eighty", "eleven", "empty", "every", "evil", "fair", "famous", "fast", "few", "fifty", "five", "flat", "fluffy", "forty", "four", "fresh", "friendly", "fruity", "funny", "fuzzy", "gentle", "giant", "gold", "good", "gorgeous", "great", "green", "grumpy", "happy", "healthy", "heavy", "hip", "honest", "hot", "hungry", "icy", "itchy", "khaki", "kind", "large", "late", "lazy", "lemon", "light", "little", "long", "loose", "loud", "lovely", "lucky", "many", "mean", "metal", "mighty", "modern", "moody", "nasty", "neat", "nervous", "new", "nice", "nine", "ninety", "odd", "old", "olive", "orange", "perfect", "pink", "plenty", "polite", "poor", "popular", "pretty", "proud", "puny", "purple", "quick", "quiet", "rare", "real", "red", "rich", "rotten", "rude", "sad", "salty", "selfish", "serious", "seven", "shaggy", "shaky", "sharp", "shiny", "short", "shy", "silent", "silly", "silver", "six", "sixty", "slick", "slimy", "slow", "small", "smart", "smooth", "soft", "solid", "some", "sour", "spicy", "spotty", "stale", "strange", "strong", "stupid", "sweet", "swift", "tall", "tame", "tangy", "tasty", "ten", "tender", "thick", "thin", "thirty", "three", "tidy", "tiny", "tired", "tough", "tricky", "twelve", "twenty", "two", "unlucky", "upset", "vast", "violet", "warm", "weak", "wet", "wicked", "wide", "wild", "wise", "witty", "yellow", "young", "yummy",
-];
-exports.nouns = ["apes", "animals", "bars", "baths", "breads", "bushes", "cloths", "clubs", "hoops", "loops", "memes", "papers", "parks", "paths", "showers", "signs", "sites", "streets", "teeth", "tires", "webs", "actors", "ads", "adults", "aliens", "ants", "apples", "apricots", "avocados", "baboons", "badgers", "bags", "balloons", "bananas", "bats", "beans", "bears", "beds", "beers", "bees", "berries", "bikes", "birds", "boats", "bobcats", "books", "bottles", "boxes", "brooms", "buckets", "bugs", "bulldogs", "buses", "buttons", "camels", "cameras", "candies", "candles", "carpets", "carrots", "carrots", "cars", "cats", "chairs", "cheetahs", "chefs", "cherries", "chicken", "clocks", "clouds", "coats", "cobras", "coins", "colts", "comics", "cooks", "cougars", "countries", "cows", "crabs", "crabs", "crews", "cups", "cycles", "dancers", "days", "deers", "dingos", "dodos", "dogs", "dolls", "dolphins", "donkeys", "donuts", "doodles", "doors", "dots", "dragons", "drinks", "dryers", "ducks", "ducks", "eagles", "ears", "eels", "eggs", "elephants", "emus", "experts", "eyes", "falcons", "fans", "feet", "files", "fireants", "fishes", "flies", "flowers", "forks", "foxes", "friends", "frogs", "games", "garlics", "geckos", "geese", "ghosts", "ghosts", "gifts", "glasses", "goats", "gorillas", "grapes", "guests", "hairs", "hats", "hornets", "horses", "hotels", "hounds", "houses", "humans", "icons", "impalas", "insects", "islands", "items", "jars", "jeans", "jobs", "jokes", "kangaroos", "keys", "kids", "kings", "kiwis", "knives", "ladybugs", "lamps", "laws", "lemons", "lies", "ligers", "lions", "lizards", "llamas", "lobsters", "mails", "mangos", "maps", "masks", "mayflies", "meals", "melons", "mice", "mirrors", "moles", "monkeys", "months", "moons", "moose", "mugs", "nails", "needles", "news", "numbers", "olives", "onions", "oranges", "otters", "owls", "pandas", "pans", "panthers", "pants", "papayas", "parents", "parrots", "paws", "peaches", "pears", "peas", "penguins", "pens", "pets", "phones", "pianos", "pigs", "pillows", "planes", "planets", "plants", "plums", "poems", "poets", "points", "pots", "pugs", "pumas", "pumpkins", "queens", "rabbits", "radios", "rats", "ravens", "readers", "rice", "rings", "rivers", "rockets", "rocks", "roses", "rules", "schools", "scissors", "seahorses", "seals", "seas", "sheep", "shirts", "shoes", "shrimps", "singers", "sloths", "snails", "snakes", "socks", "spiders", "spies", "spoons", "squids", "starfishes", "steaks", "stingrays", "students", "suits", "suns", "swans", "symbols", "tables", "taxis", "teachers", "terms", "ties", "tigers", "timers", "tips", "toes", "tomatoes", "tools", "toys", "trainers", "trains", "trams", "trees", "turkeys", "turtles", "vans", "walls", "walls", "wasps", "waves", "ways", "weeks", "windows", "wolves", "wombats", "worms", "yaks", "years", "zebras", "zoos",
-];
-exports.verbs = [
-    "accept", "act", "add", "admire", "agree", "allow", "appear", "applaud", "approve", "argue", "arrive", "attack", "attend", "bake", "bathe", "battle", "beam", "beg", "begin", "behave", "boil", "bow", "brake", "breathe", "brush", "build", "burn", "buy", "call", "camp", "care", "carry", "change", "cheat", "check", "cheer", "chew", "clap", "clean", "collect", "compare", "compete", "complain", "confess", "cough", "count", "cover", "crash", "cross", "cry", "dance", "decide", "deliver", "deny", "design", "destroy", "develop", "divide", "do", "double", "doubt", "draw", "dream", "dress", "drive", "drop", "drum", "eat", "end", "enjoy", "exercise", "exist", "explain", "explode", "fail", "fetch", "film", "fix", "flash", "float", "flow", "fly", "fold", "fry", "give", "glow", "grab", "greet", "grin", "grow", "guess", "hammer", "hang", "happen", "heal", "hear", "help", "hide", "hope", "hug", "hunt", "impress", "invent", "invite", "itch", "jam", "jog", "join", "joke", "judge", "juggle", "jump", "kick", "kiss", "kneel", "knock", "know", "laugh", "lay", "learn", "leave", "lick", "lie", "listen", "live", "look", "love", "march", "marry", "mate", "matter", "melt", "mix", "move", "nail", "notice", "obey", "occur", "own", "pay", "peel", "perform", "play", "poke", "press", "pretend", "promise", "protect", "prove", "provide", "pull", "pump", "punch", "push", "raise", "reflect", "refuse", "relate", "relax", "remain", "remember", "repair", "repeat", "reply", "report", "rescue", "rest", "retire", "return", "rhyme", "ring", "roll", "rule", "run", "rush", "scream", "search", "sell", "serve", "shake", "share", "shave", "shop", "shout", "sin", "sing", "sip", "sit", "sleep", "smash", "smell", "smile", "smoke", "sneeze", "sniff", "sort", "sparkle", "speak", "stare", "study", "suffer", "swim", "switch", "talk", "tan", "tap", "taste", "teach", "tease", "tell", "thank", "think", "tickle", "tie", "trade", "train", "travel", "try", "turn", "type", "unite", "vanish", "visit", "wait", "walk", "warn", "wash", "watch", "wave", "whisper", "wink", "wonder", "work", "worry", "yawn", "yell",
-];
+exports.adjectives = ["afraid", "all", "angry", "beige", "big", "bitter", "blue", "brave", "breezy", "bright", "brown", "bumpy", "busy", "calm", "chatty", "chilled", "chilly", "chubby", "clean", "clever", "cold", "cool", "crazy", "cruel", "cuddly", "curly", "curvy", "cute", "cyan", "deep", "dirty", "dry", "dull", "eager", "early", "easy", "eight", "eighty", "eleven", "empty", "every", "evil", "fair", "famous", "fast", "few", "fifty", "five", "flat", "fluffy", "forty", "four", "fresh", "friendly", "fruity", "funny", "fuzzy", "gentle", "giant", "gold", "good", "gorgeous", "great", "green", "grumpy", "happy", "healthy", "heavy", "hip", "honest", "hot", "hungry", "icy", "itchy", "khaki", "kind", "large", "late", "lazy", "lemon", "light", "little", "long", "loose", "loud", "lovely", "lucky", "many", "mean", "metal", "mighty", "modern", "moody", "nasty", "neat", "nervous", "new", "nice", "nine", "ninety", "odd", "old", "olive", "orange", "perfect", "pink", "plenty", "polite", "poor", "popular", "pretty", "proud", "puny", "purple", "quick", "quiet", "rare", "real", "red", "rich", "rotten", "rude", "sad", "salty", "selfish", "serious", "seven", "shaggy", "shaky", "sharp", "shiny", "short", "shy", "silent", "silly", "silver", "six", "sixty", "slick", "slimy", "slow", "small", "smart", "smooth", "soft", "solid", "some", "sour", "spicy", "spotty", "stale", "strange", "strong", "stupid", "sweet", "swift", "tall", "tame", "tangy", "tasty", "ten", "tender", "thick", "thin", "thirty", "three", "tidy", "tiny", "tired", "tough", "tricky", "twelve", "twenty", "two", "unlucky", "upset", "vast", "violet", "warm", "weak", "wet", "wicked", "wide", "wild", "wise", "witty", "yellow", "young", "yummy"];
+exports.nouns = ["apes", "animals", "bars", "baths", "breads", "bushes", "cloths", "clubs", "hoops", "loops", "memes", "papers", "parks", "paths", "showers", "signs", "sites", "streets", "teeth", "tires", "webs", "actors", "ads", "adults", "aliens", "ants", "apples", "apricots", "avocados", "baboons", "badgers", "bags", "balloons", "bananas", "bats", "beans", "bears", "beds", "beers", "bees", "berries", "bikes", "birds", "boats", "bobcats", "books", "bottles", "boxes", "brooms", "buckets", "bugs", "bulldogs", "buses", "buttons", "camels", "cameras", "candies", "candles", "carpets", "carrots", "carrots", "cars", "cats", "chairs", "cheetahs", "chefs", "cherries", "chicken", "clocks", "clouds", "coats", "cobras", "coins", "colts", "comics", "cooks", "cougars", "regions", "cows", "crabs", "crabs", "crews", "cups", "cycles", "dancers", "days", "deers", "dingos", "dodos", "dogs", "dolls", "dolphins", "donkeys", "donuts", "doodles", "doors", "dots", "dragons", "drinks", "dryers", "ducks", "ducks", "eagles", "ears", "eels", "eggs", "mammals", "emus", "experts", "eyes", "falcons", "fans", "feet", "files", "fireants", "fishes", "flies", "flowers", "forks", "foxes", "friends", "frogs", "games", "garlics", "geckos", "geese", "ghosts", "ghosts", "gifts", "glasses", "goats", "gorillas", "grapes", "guests", "hairs", "hats", "hornets", "horses", "hotels", "hounds", "houses", "humans", "icons", "impalas", "insects", "islands", "items", "jars", "jeans", "jobs", "jokes", "angaroos", "keys", "kids", "kings", "kiwis", "knives", "ladybugs", "lamps", "laws", "lemons", "lies", "ligers", "lions", "lizards", "llamas", "lobsters", "mails", "mangos", "maps", "masks", "mayflies", "meals", "melons", "mice", "mirrors", "moles", "monkeys", "months", "moons", "moose", "mugs", "nails", "needles", "news", "numbers", "olives", "onions", "oranges", "otters", "owls", "pandas", "pans", "panthers", "pants", "papayas", "parents", "parrots", "paws", "peaches", "pears", "peas", "penguins", "pens", "pets", "phones", "pianos", "pigs", "pillows", "planes", "planets", "plants", "plums", "poems", "poets", "points", "pots", "pugs", "pumas", "pumpkins", "queens", "rabbits", "radios", "rats", "ravens", "readers", "rice", "rings", "rivers", "rockets", "rocks", "roses", "rules", "schools", "scissors", "bats", "seals", "seas", "sheep", "shirts", "shoes", "shrimps", "singers", "sloths", "snails", "snakes", "socks", "spiders", "spies", "spoons", "squids", "stars", "steaks", "wings", "students", "suits", "suns", "swans", "symbols", "tables", "taxis", "teachers", "terms", "ties", "tigers", "timers", "tips", "toes", "tomatoes", "tools", "toys", "trainers", "trains", "trams", "trees", "turkeys", "turtles", "vans", "walls", "walls", "wasps", "waves", "ways", "weeks", "windows", "wolves", "wombats", "worms", "yaks", "years", "zebras", "zoos"];
+exports.verbs = ["accept", "act", "add", "admire", "agree", "allow", "appear", "applaud", "approve", "argue", "arrive", "attack", "attend", "bake", "bathe", "battle", "beam", "beg", "begin", "behave", "boil", "bow", "brake", "breathe", "brush", "build", "burn", "buy", "call", "camp", "care", "carry", "change", "cheat", "check", "cheer", "chew", "clap", "clean", "collect", "compare", "compete", "complain", "confess", "cough", "count", "cover", "crash", "cross", "cry", "dance", "decide", "deliver", "deny", "design", "destroy", "develop", "divide", "do", "double", "doubt", "draw", "dream", "dress", "drive", "drop", "drum", "eat", "end", "enjoy", "exercise", "exist", "explain", "explode", "fail", "fetch", "film", "fix", "flash", "float", "flow", "fly", "fold", "fry", "give", "glow", "grab", "greet", "grin", "grow", "guess", "hammer", "hang", "happen", "heal", "hear", "help", "hide", "hope", "hug", "hunt", "impress", "invent", "invite", "itch", "jam", "jog", "join", "joke", "judge", "juggle", "jump", "kick", "kiss", "kneel", "knock", "know", "laugh", "lay", "learn", "leave", "lick", "lie", "listen", "live", "look", "love", "march", "marry", "mate", "matter", "melt", "mix", "move", "nail", "notice", "obey", "occur", "own", "pay", "peel", "perform", "play", "poke", "press", "pretend", "promise", "protect", "prove", "provide", "pull", "pump", "punch", "push", "raise", "reflect", "refuse", "relate", "relax", "remain", "remember", "repair", "repeat", "reply", "report", "rescue", "rest", "retire", "return", "rhyme", "ring", "roll", "rule", "run", "rush", "scream", "search", "sell", "serve", "shake", "share", "shave", "shop", "shout", "sin", "sing", "sip", "sit", "sleep", "smash", "smell", "smile", "smoke", "sneeze", "sniff", "sort", "sparkle", "speak", "stare", "study", "suffer", "swim", "switch", "talk", "tan", "tap", "taste", "teach", "tease", "tell", "thank", "think", "tickle", "tie", "trade", "train", "travel", "try", "turn", "type", "unite", "vanish", "visit", "wait", "walk", "warn", "wash", "watch", "wave", "whisper", "wink", "wonder", "work", "worry", "yawn", "yell"];
+function random(arr) { return arr[Math.floor(Math.random() * arr.length)]; }
+// function longest(arr: string[]){ return arr.reduce((a, b) => a.length > b.length ? a : b); }
+// function shortest(arr: string[]){ return arr.reduce((a, b) => a.length < b.length ? a : b); }
+// Save some time by hard coding the minLength
+exports.minLength = 8;
+// [
+// 	shortest(adjectives).length,
+// 	shortest(nouns).length,
+// 	shortest(verbs).length
+// ].reduce((a,b) => a + b);
+// Save some time by hard coding the minLength
+exports.maxLength = 24;
+// [
+// 	longest(adjectives).length,
+// 	longest(nouns).length,
+// 	longest(verbs).length
+// ].reduce((a,b) => a + b);
 exports.poolSize = exports.adjectives.length * exports.nouns.length * exports.verbs.length;
-// console.log('adjectives', adjectives.length);
-// console.log('nouns', nouns.length);
-// console.log('verbs', verbs.length);
-// console.log('total', poolSize);
-function random(arr) {
-    return arr[Math.floor(Math.random() * arr.length)];
-}
 function humanId(options) {
@@ -34,4 +39,9 @@ if (options === void 0) { options = {}; }
 exports.humanId = humanId;
-console.log('humanId', humanId());
 exports.default = humanId;
+// console.log('adjectives', adjectives.length);
+// console.log('nouns', nouns.length);
+// console.log('verbs', verbs.length);
+// console.log('poolSize', poolSize);
+// console.log('minLength', minLength);
+// console.log('maxLength', maxLength);
 //# sourceMappingURL=index.js.map

dist/index.js.map

@@ -1,1 +0,1 @@
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index.ts

@@ -1,23 +0,29 @@
-export const adjectives: string[] = [
-	"afraid", "all", "angry", "beige", "big", "bitter", "blue", "brave", "breezy", "bright", "brown", "bumpy", "busy", "calm", "chatty", "chilled", "chilly", "chubby", "clean", "clever", "cold", "cool", "crazy", "cruel", "cuddly", "curly", "curvy", "cute", "cyan", "deep", "dirty", "dry", "dull", "eager", "early", "easy", "eight", "eighty", "eleven", "empty", "every", "evil", "fair", "famous", "fast", "few", "fifty", "five", "flat", "fluffy", "forty", "four", "fresh", "friendly", "fruity", "funny", "fuzzy", "gentle", "giant", "gold", "good", "gorgeous", "great", "green", "grumpy", "happy", "healthy", "heavy", "hip", "honest", "hot", "hungry", "icy", "itchy", "khaki", "kind", "large", "late", "lazy", "lemon", "light", "little", "long", "loose", "loud", "lovely", "lucky", "many", "mean", "metal", "mighty", "modern", "moody", "nasty", "neat", "nervous", "new", "nice", "nine", "ninety", "odd", "old", "olive", "orange", "perfect", "pink", "plenty", "polite", "poor", "popular", "pretty", "proud", "puny", "purple", "quick", "quiet", "rare", "real", "red", "rich", "rotten", "rude", "sad", "salty", "selfish", "serious", "seven", "shaggy", "shaky", "sharp", "shiny", "short", "shy", "silent", "silly", "silver", "six", "sixty", "slick", "slimy", "slow", "small", "smart", "smooth", "soft", "solid", "some", "sour", "spicy", "spotty", "stale", "strange", "strong", "stupid", "sweet", "swift", "tall", "tame", "tangy", "tasty", "ten", "tender", "thick", "thin", "thirty", "three", "tidy", "tiny", "tired", "tough", "tricky", "twelve", "twenty", "two", "unlucky", "upset", "vast", "violet", "warm", "weak", "wet", "wicked", "wide", "wild", "wise", "witty", "yellow", "young", "yummy",
-];
+export const adjectives: string[] = ["afraid", "all", "angry", "beige", "big", "bitter", "blue", "brave", "breezy", "bright", "brown", "bumpy", "busy", "calm", "chatty", "chilled", "chilly", "chubby", "clean", "clever", "cold", "cool", "crazy", "cruel", "cuddly", "curly", "curvy", "cute", "cyan", "deep", "dirty", "dry", "dull", "eager", "early", "easy", "eight", "eighty", "eleven", "empty", "every", "evil", "fair", "famous", "fast", "few", "fifty", "five", "flat", "fluffy", "forty", "four", "fresh", "friendly", "fruity", "funny", "fuzzy", "gentle", "giant", "gold", "good", "gorgeous", "great", "green", "grumpy", "happy", "healthy", "heavy", "hip", "honest", "hot", "hungry", "icy", "itchy", "khaki", "kind", "large", "late", "lazy", "lemon", "light", "little", "long", "loose", "loud", "lovely", "lucky", "many", "mean", "metal", "mighty", "modern", "moody", "nasty", "neat", "nervous", "new", "nice", "nine", "ninety", "odd", "old", "olive", "orange", "perfect", "pink", "plenty", "polite", "poor", "popular", "pretty", "proud", "puny", "purple", "quick", "quiet", "rare", "real", "red", "rich", "rotten", "rude", "sad", "salty", "selfish", "serious", "seven", "shaggy", "shaky", "sharp", "shiny", "short", "shy", "silent", "silly", "silver", "six", "sixty", "slick", "slimy", "slow", "small", "smart", "smooth", "soft", "solid", "some", "sour", "spicy", "spotty", "stale", "strange", "strong", "stupid", "sweet", "swift", "tall", "tame", "tangy", "tasty", "ten", "tender", "thick", "thin", "thirty", "three", "tidy", "tiny", "tired", "tough", "tricky", "twelve", "twenty", "two", "unlucky", "upset", "vast", "violet", "warm", "weak", "wet", "wicked", "wide", "wild", "wise", "witty", "yellow", "young", "yummy"];
 
-export const nouns: string[] = ["apes", "animals", "bars", "baths", "breads", "bushes", "cloths", "clubs", "hoops", "loops", "memes", "papers", "parks", "paths", "showers", "signs", "sites", "streets", "teeth", "tires", "webs", "actors", "ads", "adults", "aliens", "ants", "apples", "apricots", "avocados", "baboons", "badgers", "bags", "balloons", "bananas", "bats", "beans", "bears", "beds", "beers", "bees", "berries", "bikes", "birds", "boats", "bobcats", "books", "bottles", "boxes", "brooms", "buckets", "bugs", "bulldogs", "buses", "buttons", "camels", "cameras", "candies", "candles", "carpets", "carrots", "carrots", "cars", "cats", "chairs", "cheetahs", "chefs", "cherries", "chicken", "clocks", "clouds", "coats", "cobras", "coins", "colts", "comics", "cooks", "cougars", "countries", "cows", "crabs", "crabs", "crews", "cups", "cycles", "dancers", "days", "deers", "dingos", "dodos", "dogs", "dolls", "dolphins", "donkeys", "donuts", "doodles", "doors", "dots", "dragons", "drinks", "dryers", "ducks", "ducks", "eagles", "ears", "eels", "eggs", "elephants", "emus", "experts", "eyes", "falcons", "fans", "feet", "files", "fireants", "fishes", "flies", "flowers", "forks", "foxes", "friends", "frogs", "games", "garlics", "geckos", "geese", "ghosts", "ghosts", "gifts", "glasses", "goats", "gorillas", "grapes", "guests", "hairs", "hats", "hornets", "horses", "hotels", "hounds", "houses", "humans", "icons", "impalas", "insects", "islands", "items", "jars", "jeans", "jobs", "jokes", "kangaroos", "keys", "kids", "kings", "kiwis", "knives", "ladybugs", "lamps", "laws", "lemons", "lies", "ligers", "lions", "lizards", "llamas", "lobsters", "mails", "mangos", "maps", "masks", "mayflies", "meals", "melons", "mice", "mirrors", "moles", "monkeys", "months", "moons", "moose", "mugs", "nails", "needles", "news", "numbers", "olives", "onions", "oranges", "otters", "owls", "pandas", "pans", "panthers", "pants", "papayas", "parents", "parrots", "paws", "peaches", "pears", "peas", "penguins", "pens", "pets", "phones", "pianos", "pigs", "pillows", "planes", "planets", "plants", "plums", "poems", "poets", "points", "pots", "pugs", "pumas", "pumpkins", "queens", "rabbits", "radios", "rats", "ravens", "readers", "rice", "rings", "rivers", "rockets", "rocks", "roses", "rules", "schools", "scissors", "seahorses", "seals", "seas", "sheep", "shirts", "shoes", "shrimps", "singers", "sloths", "snails", "snakes", "socks", "spiders", "spies", "spoons", "squids", "starfishes", "steaks", "stingrays", "students", "suits", "suns", "swans", "symbols", "tables", "taxis", "teachers", "terms", "ties", "tigers", "timers", "tips", "toes", "tomatoes", "tools", "toys", "trainers", "trains", "trams", "trees", "turkeys", "turtles", "vans", "walls", "walls", "wasps", "waves", "ways", "weeks", "windows", "wolves", "wombats", "worms", "yaks", "years", "zebras", "zoos",
-];
+export const nouns: string[] = ["apes", "animals", "bars", "baths", "breads", "bushes", "cloths", "clubs", "hoops", "loops", "memes", "papers", "parks", "paths", "showers", "signs", "sites", "streets", "teeth", "tires", "webs", "actors", "ads", "adults", "aliens", "ants", "apples", "apricots", "avocados", "baboons", "badgers", "bags", "balloons", "bananas", "bats", "beans", "bears", "beds", "beers", "bees", "berries", "bikes", "birds", "boats", "bobcats", "books", "bottles", "boxes", "brooms", "buckets", "bugs", "bulldogs", "buses", "buttons", "camels", "cameras", "candies", "candles", "carpets", "carrots", "carrots", "cars", "cats", "chairs", "cheetahs", "chefs", "cherries", "chicken", "clocks", "clouds", "coats", "cobras", "coins", "colts", "comics", "cooks", "cougars", "regions", "cows", "crabs", "crabs", "crews", "cups", "cycles", "dancers", "days", "deers", "dingos", "dodos", "dogs", "dolls", "dolphins", "donkeys", "donuts", "doodles", "doors", "dots", "dragons", "drinks", "dryers", "ducks", "ducks", "eagles", "ears", "eels", "eggs", "mammals", "emus", "experts", "eyes", "falcons", "fans", "feet", "files", "fireants", "fishes", "flies", "flowers", "forks", "foxes", "friends", "frogs", "games", "garlics", "geckos", "geese", "ghosts", "ghosts", "gifts", "glasses", "goats", "gorillas", "grapes", "guests", "hairs", "hats", "hornets", "horses", "hotels", "hounds", "houses", "humans", "icons", "impalas", "insects", "islands", "items", "jars", "jeans", "jobs", "jokes", "angaroos", "keys", "kids", "kings", "kiwis", "knives", "ladybugs", "lamps", "laws", "lemons", "lies", "ligers", "lions", "lizards", "llamas", "lobsters", "mails", "mangos", "maps", "masks", "mayflies", "meals", "melons", "mice", "mirrors", "moles", "monkeys", "months", "moons", "moose", "mugs", "nails", "needles", "news", "numbers", "olives", "onions", "oranges", "otters", "owls", "pandas", "pans", "panthers", "pants", "papayas", "parents", "parrots", "paws", "peaches", "pears", "peas", "penguins", "pens", "pets", "phones", "pianos", "pigs", "pillows", "planes", "planets", "plants", "plums", "poems", "poets", "points", "pots", "pugs", "pumas", "pumpkins", "queens", "rabbits", "radios", "rats", "ravens", "readers", "rice", "rings", "rivers", "rockets", "rocks", "roses", "rules", "schools", "scissors", "bats", "seals", "seas", "sheep", "shirts", "shoes", "shrimps", "singers", "sloths", "snails", "snakes", "socks", "spiders", "spies", "spoons", "squids", "stars", "steaks", "wings", "students", "suits", "suns", "swans", "symbols", "tables", "taxis", "teachers", "terms", "ties", "tigers", "timers", "tips", "toes", "tomatoes", "tools", "toys", "trainers", "trains", "trams", "trees", "turkeys", "turtles", "vans", "walls", "walls", "wasps", "waves", "ways", "weeks", "windows", "wolves", "wombats", "worms", "yaks", "years", "zebras", "zoos"];
 
-export const verbs: string[] = [
-	"accept", "act", "add", "admire", "agree", "allow", "appear", "applaud", "approve", "argue", "arrive", "attack", "attend", "bake", "bathe", "battle", "beam", "beg", "begin", "behave", "boil", "bow", "brake", "breathe", "brush", "build", "burn", "buy", "call", "camp", "care", "carry", "change", "cheat", "check", "cheer", "chew", "clap", "clean", "collect", "compare", "compete", "complain", "confess", "cough", "count", "cover", "crash", "cross", "cry", "dance", "decide", "deliver", "deny", "design", "destroy", "develop", "divide", "do", "double", "doubt", "draw", "dream", "dress", "drive", "drop", "drum", "eat", "end", "enjoy", "exercise", "exist", "explain", "explode", "fail", "fetch", "film", "fix", "flash", "float", "flow", "fly", "fold", "fry", "give", "glow", "grab", "greet", "grin", "grow", "guess", "hammer", "hang", "happen", "heal", "hear", "help", "hide", "hope", "hug", "hunt", "impress", "invent", "invite", "itch", "jam", "jog", "join", "joke", "judge", "juggle", "jump", "kick", "kiss", "kneel", "knock", "know", "laugh", "lay", "learn", "leave", "lick", "lie", "listen", "live", "look", "love", "march", "marry", "mate", "matter", "melt", "mix", "move", "nail", "notice", "obey", "occur", "own", "pay", "peel", "perform", "play", "poke", "press", "pretend", "promise", "protect", "prove", "provide", "pull", "pump", "punch", "push", "raise", "reflect", "refuse", "relate", "relax", "remain", "remember", "repair", "repeat", "reply", "report", "rescue", "rest", "retire", "return", "rhyme", "ring", "roll", "rule", "run", "rush", "scream", "search", "sell", "serve", "shake", "share", "shave", "shop", "shout", "sin", "sing", "sip", "sit", "sleep", "smash", "smell", "smile", "smoke", "sneeze", "sniff", "sort", "sparkle", "speak", "stare", "study", "suffer", "swim", "switch", "talk", "tan", "tap", "taste", "teach", "tease", "tell", "thank", "think", "tickle", "tie", "trade", "train", "travel", "try", "turn", "type", "unite", "vanish", "visit", "wait", "walk", "warn", "wash", "watch", "wave", "whisper", "wink", "wonder", "work", "worry", "yawn", "yell",
-];
+export const verbs: string[] = ["accept", "act", "add", "admire", "agree", "allow", "appear", "applaud", "approve", "argue", "arrive", "attack", "attend", "bake", "bathe", "battle", "beam", "beg", "begin", "behave", "boil", "bow", "brake", "breathe", "brush", "build", "burn", "buy", "call", "camp", "care", "carry", "change", "cheat", "check", "cheer", "chew", "clap", "clean", "collect", "compare", "compete", "complain", "confess", "cough", "count", "cover", "crash", "cross", "cry", "dance", "decide", "deliver", "deny", "design", "destroy", "develop", "divide", "do", "double", "doubt", "draw", "dream", "dress", "drive", "drop", "drum", "eat", "end", "enjoy", "exercise", "exist", "explain", "explode", "fail", "fetch", "film", "fix", "flash", "float", "flow", "fly", "fold", "fry", "give", "glow", "grab", "greet", "grin", "grow", "guess", "hammer", "hang", "happen", "heal", "hear", "help", "hide", "hope", "hug", "hunt", "impress", "invent", "invite", "itch", "jam", "jog", "join", "joke", "judge", "juggle", "jump", "kick", "kiss", "kneel", "knock", "know", "laugh", "lay", "learn", "leave", "lick", "lie", "listen", "live", "look", "love", "march", "marry", "mate", "matter", "melt", "mix", "move", "nail", "notice", "obey", "occur", "own", "pay", "peel", "perform", "play", "poke", "press", "pretend", "promise", "protect", "prove", "provide", "pull", "pump", "punch", "push", "raise", "reflect", "refuse", "relate", "relax", "remain", "remember", "repair", "repeat", "reply", "report", "rescue", "rest", "retire", "return", "rhyme", "ring", "roll", "rule", "run", "rush", "scream", "search", "sell", "serve", "shake", "share", "shave", "shop", "shout", "sin", "sing", "sip", "sit", "sleep", "smash", "smell", "smile", "smoke", "sneeze", "sniff", "sort", "sparkle", "speak", "stare", "study", "suffer", "swim", "switch", "talk", "tan", "tap", "taste", "teach", "tease", "tell", "thank", "think", "tickle", "tie", "trade", "train", "travel", "try", "turn", "type", "unite", "vanish", "visit", "wait", "walk", "warn", "wash", "watch", "wave", "whisper", "wink", "wonder", "work", "worry", "yawn", "yell"];
 
-export const poolSize: number = adjectives.length * nouns.length * verbs.length;
+function random(arr: string[]): string { return arr[Math.floor(Math.random()*arr.length)]; }
+// function longest(arr: string[]){ return arr.reduce((a, b) => a.length > b.length ? a : b); }
+// function shortest(arr: string[]){ return arr.reduce((a, b) => a.length < b.length ? a : b); }
 
-// console.log('adjectives', adjectives.length);
-// console.log('nouns', nouns.length);
-// console.log('verbs', verbs.length);
-// console.log('total', poolSize);
+// Save some time by hard coding the minLength
+export const minLength: number = 8;
+// [
+// 	shortest(adjectives).length,
+// 	shortest(nouns).length,
+// 	shortest(verbs).length
+// ].reduce((a,b) => a + b);
 
-function random(arr: string[]): string {
-	return arr[Math.floor(Math.random()*arr.length)];
-}
+// Save some time by hard coding the minLength
+export const maxLength: number = 24;
+// [
+// 	longest(adjectives).length,
+// 	longest(nouns).length,
+// 	longest(verbs).length
+// ].reduce((a,b) => a + b);
 
+export const poolSize: number = adjectives.length * nouns.length * verbs.length;
+
 interface Options {
@@ -29,3 +35,3 @@ separator?: string
 export function humanId(options: Options | string = {}): string {
-	if(typeof options === 'string') options = {separator:options};
+	if(typeof options === 'string') options = { separator: options };
 	const { separator = '', capitalize = true } = options;
@@ -45,3 +51,9 @@
 
-console.log('humanId', humanId());
-export default humanId;
+export default humanId;
+
+// console.log('adjectives', adjectives.length);
+// console.log('nouns', nouns.length);
+// console.log('verbs', verbs.length);
+// console.log('poolSize', poolSize);
+// console.log('minLength', minLength);
+// console.log('maxLength', maxLength);

package.json

 {
   "name": "human-id",
-  "version": "2.0.0",
+  "version": "2.0.1",
   "description": "Returns from a pool of 10m human-readable IDs",
@@ -14,3 +14,3 @@ "main": "dist/index.js",
     "type": "git",
-    "url": "git+https://github.com/safebyte/human-id.git"
+    "url": "git+https://github.com/RienNeVaPlus/human-id.git"
   },
@@ -23,8 +23,8 @@ "keywords": [
   ],
-  "author": "RienNeVaPlus",
+  "author": "RienNeVaPlus <?@rienneva.plus>",
   "license": "MIT",
   "bugs": {
-    "url": "https://github.com/safebyte/human-id/issues"
+    "url": "https://github.com/RienNeVaPlus/human-id/issues"
   },
-  "homepage": "https://github.com/safebyte/human-id#readme"
+  "homepage": "https://github.com/RienNeVaPlus/human-id#readme"
 }

README.md

@@ -33,3 +33,3 @@ <h3 align="center">💃🆔</h3>
 ```
-npm install --save human-id
+npm install human-id
 ```
@@ -40,3 +40,3 @@
 ```js
-import { humanId } from 'human-id'
+import humanId from 'human-id'
 
@@ -46,2 +46,5 @@ // RareGeckosJam
 
+// Rare~Geckos~Jam
+humanId('~');
+
 // rare-geckos-jam
@@ -53,2 +56,30 @@ humanId({
 ```
+
+## API
+
+### `humanId(options?: string | Option): string`
+Generates a human ID. **Options** can be a string *for defining a separator,* or an options object of:
+- **separator** `string = ''` - Separates the words from each other
+- **capitalize** `boolean = true` - Whether to transform the first character of each word to upper case
+
+*This is also the default export*
+
+### `adjectives: string[]`
+List of possible values for the first part of the human id.
+
+### `nouns: string[]`
+List of possible values for the second part of the human id.
+
+### `verbs: string[]`
+List of possible values for the third part of the human id.
+
+### `poolSize: number`
+Returns 13024368 - the number of possible combinations.
+
+### `minLength: number` 
+The length of the shortest possible id (8).
+
+### `maxLength: number` 
+The length of the longest possible id (24).
+
 <h6 align="center">💃🆔</h6>

Fixed alerts

Major refactor

Supply chain risk

Package has recently undergone a major refactor. It may be unstable or indicate significant internal changes. Use caution when updating to versions that include significant changes.

Improved metrics

Total package byte prevSize

394974

1126.06%

Number of package files

10

25%

Lines of code

202

11.6%

Number of lines in readme file

82

60.78%

Number of medium supply chain risk alerts

0

-100%

No dependency changes