package data

v6 – github.com/brianvoe/gofakeit/v6/data Index | Examples | Files

import "github.com/brianvoe/gofakeit/v6/data"

Index ¶

Variables
func Get(key string) map[string][]string
func GetSubData(key, subkey string) []string
func List() map[string][]string
func Remove(key string)
func RemoveSub(key, subkey string)
func Set(key string, data map[string][]string)
func SetSub(key, subkey string, data []string)
type CreditCardCode
type CreditCardInfo

Variables ¶

var Address = map[string][]string{
	"number":        {"#####", "####", "###"},
	"street_prefix": {"North", "East", "West", "South", "New", "Lake", "Port"},
	"street_name":   { /* 225 elements not displayed */ },
	"street_suffix": {"town", "ton", "land", "ville", "berg", "burgh", "borough", "bury", "view", "port", "mouth", "stad", "furt", "chester", "mouth", "fort", "haven", "side", "shire"},
	"city":          {"New York City", "Los Angeles", "Chicago", "Houston", "Philadelphia", "Phoenix", "San Antonio", "San Diego", "Dallas", "San Jose", "Austin", "Jacksonville", "Indianapolis", "San Francisco", "Columbus", "Fort Worth", "Charlotte", "Detroit", "El Paso", "Memphis", "Boston", "Seattle", "Denver", "Washington", "Nashville-Davidson", "Baltimore", "Louisville/Jefferson", "Portland", "Oklahoma", "Milwaukee", "Las Vegas", "Albuquerque", "Tucson", "Fresno", "Sacramento", "Long Beach", "Kansas", "Mesa", "Virginia Beach", "Atlanta", "Colorado Springs", "Raleigh", "Omaha", "Miami", "Oakland", "Tulsa", "Minneapolis", "Cleveland", "Wichita", "Arlington", "New Orleans", "Bakersfield", "Tampa", "Honolulu", "Anaheim", "Aurora", "Santa Ana", "St. Louis", "Riverside", "Corpus Christi", "Pittsburgh", "Lexington-Fayette", "Stockton", "Cincinnati", "St. Paul", "Toledo", "Newark", "Greensboro", "Plano", "Henderson", "Lincoln", "Buffalo", "Fort Wayne", "Jersey", "Chula Vista", "Orlando", "St. Petersburg", "Norfolk", "Chandler", "Laredo", "Madison", "Durham", "Lubbock", "Winston-Salem", "Garland", "Glendale", "Hialeah", "Reno", "Baton Rouge", "Irvine", "Chesapeake", "Irving", "Scottsdale", "North Las Vegas", "Fremont", "San Bernardino", "Boise", "Birmingham"},
	"state":         {"Alabama", "Alaska", "Arizona", "Arkansas", "California", "Colorado", "Connecticut", "Delaware", "Florida", "Georgia", "Hawaii", "Idaho", "Illinois", "Indiana", "Iowa", "Kansas", "Kentucky", "Louisiana", "Maine", "Maryland", "Massachusetts", "Michigan", "Minnesota", "Mississippi", "Missouri", "Montana", "Nebraska", "Nevada", "New Hampshire", "New Jersey", "New Mexico", "New York", "North Carolina", "North Dakota", "Ohio", "Oklahoma", "Oregon", "Pennsylvania", "Rhode Island", "South Carolina", "South Dakota", "Tennessee", "Texas", "Utah", "Vermont", "Virginia", "Washington", "West Virginia", "Wisconsin", "Wyoming"},
	"state_abr":     {"AL", "AK", "AZ", "AR", "CA", "CO", "CT", "DE", "FL", "GA", "HI", "ID", "IL", "IN", "IA", "KS", "KY", "LA", "ME", "MD", "MA", "MI", "MN", "MS", "MO", "MT", "NE", "NV", "NH", "NJ", "NM", "NY", "NC", "ND", "OH", "OK", "OR", "PA", "RI", "SC", "SD", "TN", "TX", "UT", "VT", "VA", "WA", "WV", "WI", "WY", "AE", "AA", "AP"},
	"zip":           {"#####"},
	"country":       { /* 249 elements not displayed */ },
	"country_abr":   { /* 249 elements not displayed */ },
}

Address consists of address information

var Animal = map[string][]string{
	"petname": {"Alfalfa", "Archie", "Attila", "Baloo", "Bark Twain", "Barney", "Beans", "Bernadette", "Betty", "Binx", "Biscuit", "Bitsy", "Bob", "Bruiser", "Butterball", "Butters", "Chalupa", "Cheeseburger", "Chewbarka", "Chompers", "Cujo", "Demi", "Dobby", "Doc McDoggins", "Droolius Caesar", "Elmo", "Fergus", "Fluffernutter", "Franz Fur-dinand", "Frodo", "Fyodor Dogstoevsky", "Gary", "Gollum", "Hairy Paw-ter", "Hercules", "Hobbit", "Jabba", "Jellybean", "Jimmy Chew", "Kareem Abdul Ja-Bark", "Kevin", "Khaleesi", "Larry", "Lloyd", "Mary Puppins", "Matilda", "Meatball", "Mister Miyagi", "Moose", "Munchkin", "Nacho", "Noodles", "Nugget", "Olga", "Orville Redenbarker", "Ozzy Pawsborne", "Pam", "Peanut", "Pee Wee", "Pikachu", "Prince of Barkness", "Pumba", "Rambo", "Rex", "Rocky", "Rufus", "Salsa", "Salvador Dogi", "Santa Paws", "Sarah Jessica Barker", "Scrappy", "Sherlock Bones", "Squeakers", "Squirt", "Tank", "Tater", "The Notorious D.O.G.", "Toto", "Twinkie", "Waffles", "Waldo", "Winnie the Poodle", "Woofgang Puck", "Yoda", "Zeus"},
	"animal":  { /* 140 elements not displayed */ },
	"type":    {"amphibians", "birds", "fish", "invertebrates", "mammals", "reptiles"},
	"farm":    {"Chicken", "Cow", "Donkey", "Duck", "Goat", "Goose", "Horse", "Llama", "Pig", "Sheep", "Turkey"},
	"cat":     {"Abyssinian", "Aegean", "American Bobtail", "American Curl", "American Shorthair", "American Wirehair", "Arabian Mau", "Asian", "Asian Semi-longhair", "Australian Mist", "Balinese", "Bambino", "Bengal", "Birman", "Bombay", "Brazilian Shorthair", "British Longhair", "British Semipi-longhair", "British Shorthair", "Burmese", "Burmilla", "California Spangled", "Chantilly-Tiffany", "Chartreux", "Chausie", "Cheetoh", "Colorpoint Shorthair", "Cornish Rex", "Cymric, or Manx Longhair", "Cyprus", "Devon Rex", "Donskoy, or Don Sphynx", "Dragon Li", "Dwarf cat, or Dwelf", "Egyptian Mau", "European Shorthair", "Exotic Shorthair", "Foldex Cat", "German Rex", "Havana Brown", "Highlander", "Himalayan, or Colorpoint Persian", "Japanese Bobtail", "Javanese", "Khao Manee", "Korat", "Korean Bobtail", "Korn Ja", "Kurilian Bobtail", "Kurilian Bobtail, or Kuril Islands Bobtail", "LaPerm", "Lykoi", "Maine Coon", "Manx", "Mekong Bobtail", "Minskin", "Munchkin", "Napoleon", "Nebelung", "Norwegian Forest Cat", "Ocicat", "Ojos Azules", "Oregon Rex", "Oriental Bicolor", "Oriental Longhair", "Oriental Shorthair", "Persian", "Peterbald", "Pixie-bob", "Raas", "Ragamuffin", "Ragdoll", "Russian Blue", "Russian White, Black and Tabby", "Sam Sawet", "Savannah", "Scottish Fold", "Selkirk Rex", "Serengeti", "Serrade petit", "Siamese", "Siberian", "Singapura", "Snowshoe", "Sokoke", "Somali", "Sphynx", "Suphalak", "Thai", "Tonkinese", "Toyger", "Turkish Angora", "Turkish Van", "Ukrainian Levkoy"},
	"dog":     { /* 123 elements not displayed */ },
	"bird":    {"albatross", "bluejay", "canary", "cardinal", "chicken", "crow", "dove", "duck", "eagle", "emu", "falcon", "flamingo", "goose", "hornbill", "hummingbird", "ibis", "jay", "kingfisher", "lovebird", "mynah", "nightingale", "oriole", "ostrich", "owl", "parrot", "peacock", "penguin", "quail", "rooster", "sparrow", "swan", "thrush", "toucan", "vulture", "woodpecker", "yellow warbler"},
}

Animal consists of animal information

var Beer = map[string][]string{
	"name":  {"Pliny The Elder", "Founders Kentucky Breakfast", "Trappistes Rochefort 10", "HopSlam Ale", "Stone Imperial Russian Stout", "St. Bernardus Abt 12", "Founders Breakfast Stout", "Weihenstephaner Hefeweissbier", "Péché Mortel", "Celebrator Doppelbock", "Duvel", "Dreadnaught IPA", "Nugget Nectar", "La Fin Du Monde", "Bourbon County Stout", "Old Rasputin Russian Imperial Stout", "Two Hearted Ale", "Ruination IPA", "Schneider Aventinus", "Double Bastard Ale", "90 Minute IPA", "Hop Rod Rye", "Trappistes Rochefort 8", "Chimay Grande Réserve", "Stone IPA", "Arrogant Bastard Ale", "Edmund Fitzgerald Porter", "Chocolate St", "Oak Aged Yeti Imperial Stout", "Ten FIDY", "Storm King Stout", "Shakespeare Oatmeal", "Alpha King Pale Ale", "Westmalle Trappist Tripel", "Samuel Smith’s Imperial IPA", "Yeti Imperial Stout", "Hennepin", "Samuel Smith’s Oatmeal Stout", "Brooklyn Black", "Oaked Arrogant Bastard Ale", "Sublimely Self-Righteous Ale", "Trois Pistoles", "Bell’s Expedition", "Sierra Nevada Celebration Ale", "Sierra Nevada Bigfoot Barleywine Style Ale", "Racer 5 India Pale Ale, Bear Republic Bre", "Orval Trappist Ale", "Hercules Double IPA", "Maharaj", "Maudite"},
	"hop":   {"Ahtanum", "Amarillo", "Bitter Gold", "Bravo", "Brewer’s Gold", "Bullion", "Cascade", "Cashmere", "Centennial", "Chelan", "Chinook", "Citra", "Cluster", "Columbia", "Columbus", "Comet", "Crystal", "Equinox", "Eroica", "Fuggle", "Galena", "Glacier", "Golding", "Hallertau", "Horizon", "Liberty", "Magnum", "Millennium", "Mosaic", "Mt. Hood", "Mt. Rainier", "Newport", "Northern Brewer", "Nugget", "Olympic", "Palisade", "Perle", "Saaz", "Santiam", "Simcoe", "Sorachi Ace", "Sterling", "Summit", "Tahoma", "Tettnang", "TriplePearl", "Ultra", "Vanguard", "Warrior", "Willamette", "Yakima Gol"},
	"yeast": {"1007 - German Ale", "1010 - American Wheat", "1028 - London Ale", "1056 - American Ale", "1084 - Irish Ale", "1098 - British Ale", "1099 - Whitbread Ale", "1187 - Ringwood Ale", "1272 - American Ale II", "1275 - Thames Valley Ale", "1318 - London Ale III", "1332 - Northwest Ale", "1335 - British Ale II", "1450 - Dennys Favorite 50", "1469 - West Yorkshire Ale", "1728 - Scottish Ale", "1968 - London ESB Ale", "2565 - Kölsch", "1214 - Belgian Abbey", "1388 - Belgian Strong Ale", "1762 - Belgian Abbey II", "3056 - Bavarian Wheat Blend", "3068 - Weihenstephan Weizen", "3278 - Belgian Lambic Blend", "3333 - German Wheat", "3463 - Forbidden Fruit", "3522 - Belgian Ardennes", "3638 - Bavarian Wheat", "3711 - French Saison", "3724 - Belgian Saison", "3763 - Roeselare Ale Blend", "3787 - Trappist High Gravity", "3942 - Belgian Wheat", "3944 - Belgian Witbier", "2000 - Budvar Lager", "2001 - Urquell Lager", "2007 - Pilsen Lager", "2035 - American Lager", "2042 - Danish Lager", "2112 - California Lager", "2124 - Bohemian Lager", "2206 - Bavarian Lager", "2278 - Czech Pils", "2308 - Munich Lager", "2633 - Octoberfest Lager Blend", "5112 - Brettanomyces bruxellensis", "5335 - Lactobacillus", "5526 - Brettanomyces lambicus", "5733 - Pediococcus"},
	"malt":  {"Black malt", "Caramel", "Carapils", "Chocolate", "Munich", "Caramel", "Carapils", "Chocolate malt", "Munich", "Pale", "Roasted barley", "Rye malt", "Special roast", "Victory", "Vienna", "Wheat mal"},
	"style": {"Light Lager", "Pilsner", "European Amber Lager", "Dark Lager", "Bock", "Light Hybrid Beer", "Amber Hybrid Beer", "English Pale Ale", "Scottish And Irish Ale", "Merican Ale", "English Brown Ale", "Porter", "Stout", "India Pale Ale", "German Wheat And Rye Beer", "Belgian And French Ale", "Sour Ale", "Belgian Strong Ale", "Strong Ale", "Fruit Beer", "Vegetable Beer", "Smoke-flavored", "Wood-aged Beer"},
}

Beer consists of various beer information

var Books = map[string][]string{
	"title": {
		"Anna Karenina",
		"Beloved",
		"Blindness",
		"Bostan",
		"Buddenbrooks",
		"Crime and Punishment",
		"Don Quijote De La Mancha",
		"Fairy tales",
		"Faust",
		"Gulliver's Travels",
		"Gypsy Ballads",
		"Hamlet",
		"Harry potter and the sorcerer's stone",
		"King Lear",
		"Leaves of Grass",
		"Lolita",
		"Madame Bovary",
		"Memoirs of Hadrian",
		"Metamorphoses",
		"Moby Dick",
		"Nineteen Eighty-Four",
		"Odyssey",
		"Oedipus the King",
		"One Hundred Years of Solitude",
		"One Thousand and One Nights",
		"Othello",
		"Pippi Longstocking",
		"Pride and Prejudice",
		"Romeo & Juliet",
		"Sherlock Holmes",
		"Sons and Lovers",
		"The Adventures of Huckleberry Finn",
		"The Book Of Job",
		"The Brothers Karamazov",
		"The Golden Notebook",
		"The Idiot",
		"The Old Man and the Sea",
		"The Stranger",
		"Things Fall Apart",
		"Ulysses",
		"War and Peace",
		"Wuthering Heights",
		"Zorba the Greek",
	},
	"author": {
		"Albert Camus",
		"Astrid Lindgren",
		"Charles Dickens",
		"D. H. Lawrence",
		"Edgar Allan Poe",
		"Emily Brontë",
		"Ernest Hemingway",
		"Franz Kafka",
		"Fyodor Dostoevsky",
		"George Orwell",
		"Hans Christian Andersen",
		"Homer",
		"James Joyce",
		"Jane Austen",
		"Johann Wolfgang von Goethe",
		"Jorge Luis Borges",
		"Joanne K. Rowling",
		"Leo Tolstoy",
		"Marcel Proust",
		"Mark Twain",
		"Paul Celan",
		"Salman Rushdie",
		"Sophocles",
		"Thomas Mann",
		"Toni Morrison",
		"Vladimir Nabokov",
		"William Faulkner",
		"William Shakespeare",
		"Yasunari Kawabata",
	},
	"genre": {
		"Adventure",
		"Comic",
		"Crime",
		"Erotic",
		"Fiction",
		"Fantasy",
		"Historical",
		"Horror",
		"Magic",
		"Mystery",
		"Philosophical",
		"Political",
		"Romance",
		"Saga",
		"Satire",
		"Science",
		"Speculative",
		"Thriller",
		"Urban",
	},
}

var Car = map[string][]string{
	"type":              {"Passenger car mini", "Passenger car light", "Passenger car compact", "Passenger car medium", "Passenger car heavy", "Sport utility vehicle", "Pickup truck", "Van"},
	"fuel_type":         {"Gasoline", "Methanol", "Ethanol", "Diesel", "LPG", "CNG", "Electric"},
	"transmission_type": {"Manual", "Automatic"},
	"maker":             {"Alfa Romeo", "Aston Martin", "Audi", "Bentley", "Benz", "BMW", "Bugatti", "Cadillac", "Chevrolet", "Chrysler", "Citroen", "Corvette", "DAF", "Dacia", "Daewoo", "Daihatsu", "Datsun", "De Lorean", "Dino", "Dodge", "Farboud", "Ferrari", "Fiat", "Ford", "Honda", "Hummer", "Hyundai", "Jaguar", "Jeep", "KIA", "Koenigsegg", "Lada", "Lamborghini", "Lancia", "Land Rover", "Lexus", "Ligier", "Lincoln", "Lotus", "Martini", "Maserati", "Maybach", "Mazda", "McLaren", "Mercedes", "Mercedes-Benz", "Mini", "Mitsubishi", "Nissan", "Noble", "Opel", "Peugeot", "Pontiac", "Porsche", "Renault", "Rolls-Royce", "Rover", "Saab", "Seat", "Skoda", "Smart", "Spyker", "Subaru", "Suzuki", "Toyota", "Tesla", "Vauxhall", "Volkswagen", "Volvo"},
	"model":             { /* 410 elements not displayed */ },
}

Car Beer consists of various beer information

var Celebrity = map[string][]string{
	"actor":    {"Arnold Schwarzenegger", "Jim Carrey", "Emma Watson", "Robert Downey Jr.", "Daniel Radcliffe", "Chris Evans", "Leonardo DiCaprio", "Tom Cruise", "Brad Pitt", "Charles Chaplin", "Morgan Freeman", "Tom Hanks", "Hugh Jackman", "Matt Damon", "Sylvester Stallone", "Will Smith", "Clint Eastwood", "Cameron Diaz", "George Clooney", "Steven Spielberg", "Harrison Ford", "Robert De Niro", "Al Pacino", "Robert Downey Jr.", "Russell Crowe", "Liam Neeson", "Kate Winslet", "Mark Wahlberg", "Natalie Portman", "Pierce Brosnan", "Sean Connery", "Orlando Bloom", "Dwayne Johnson", "Jackie Chan", "Angelina Jolie", "Adam Sandler", "Scarlett Johansson", "Heath Ledger", "Anne Hathaway", "Jessica Alba", "Edward Norton", "Keira Knightley", "Bradley Cooper", "Will Ferrell", "Julia Roberts", "Nicolas Cage", "Daniel Craig", "Keanu Reeves", "Ian McKellen", "Halle Berry", "Bruce Willis", "Ben Stiller", "Tommy Lee Jones", "Antonio Banderas", "Denzel Washington", "Steve Carell", "Shia LaBeouf", "Megan Fox", "James Franco", "Mel Gibson", "Vin Diesel", "Tim Allen", "Robin Williams", "Kevin Spacey", "Jason Biggs", "Seann William Scott", "Jean-Claude Van Damme", "Zach Galifianakis", "Owen Wilson", "Christian Bale", "Peter Jackson", "Sandra Bullock", "Bruce Lee", "Drew Barrymore", "Macaulay Culkin", "Jack Nicholson", "Bill Murray", "Sigourney Weaver", "Jake Gyllenhaal", "Jason Statham", "Jet Li", "Kate Beckinsale", "Rowan Atkinson", "Marlon Brando", "John Travolta", "Channing Tatum", "Ben Affleck", "Shah Rukh Khan", "Jennifer Aniston", "Emma Stone", "Chris Hemsworth", "James McAvoy", "James Cameron", "Amitabh Bachchan", "Brendan Fraser", "Rachel McAdams", "Tom Hiddleston", "Aamir Khan"},
	"business": { /* 140 elements not displayed */ },
	"sport":    {"Pele", "Usain Bolt", "Muhammad Ali", "Carl Lewis", "Jesse Owens", "Sir Donald Bradman", "Billie Jean King", "Eddy Merckx", "Jackie Joyner-Kersee", "Lionel Messi", "Babe Didrikson Zaharias", "Michael Jordan", "Larisa Latynina", "Diego Maradona", "Serena Williams", "Babe Ruth", "Roger Federer", "Martina Navratilova", "Michael Phelps", "Lottie Dod", "Sachin Tendulkar", "Johan Cruyff", "Tiger Woods", "Sonja Henie", "Aryton Senna", "Nadia Comaneci", "Sergei Bubka", "Emil Zatopek", "Manny Pacquiao", "Imran Khan", "Jackie Robinson", "Shane Warne", "Dhyan Chand", "Fred Perry", "Lin Dan", "Abebe Bikila", "Clara Hughes", "Jan-Ove Waldner", "Bobby Moore", "Bjorn Borg", "Karch Kiraly", "Bradley Wiggins", "Seve Ballesteros", "David Beckham", "Michael Schumacher", "Greg Lemond", "Mia Hamm", "Jacques Anquetil", "Jack Nicklaus", "Steve Davis", "John McEnroe", "Monica Seles", "Magic Johnson", "Joe DiMaggio", "Roger Bannister", "Mo Farah", "Mark Spitz", "Chris Evert", "Al Oerter", "Jimmy Connors", "Michael Johnson", "Ian Botham", "Jim Thorpe", "Sir Steve Redgrave", "Steffi Graf", "Sebastian Coe", "Hicham El Guerrouj", "Eric Liddell", "W.G Grace", "Kenenisa Bekele", "Bernard Hinault", "Bob Beamon", "Paavo Nurmi", "David Campese", "Kelly Slater", "Haile Gebreselassie", "Rafael Nadal", "Brian Lara", "Chris Hoy", "Serge Blanco", "Cristiano Ronaldo", "Sir Gary Sobers", "Andy Murray", "George Best", "Sir Viv Richards", "Fausto Coppi", "Eusebio", "Rod Laver", "Grete Waitz", "Margaret Smith Court", "Tegla Laroupe", "Fanny Blankers-Koen", "Asbel Kiprop", "Lewis Hamilton", "C.B.Fry", "Annika Sörenstam", "Wilma Rudolph", "Alberta Tomba", "Bo Jackson"},
}

var Colors = map[string][]string{
	"safe": {"black", "maroon", "green", "navy", "olive", "purple", "teal", "lime", "blue", "silver", "gray", "yellow", "fuchsia", "aqua", "white"},
	"full": { /* 141 elements not displayed */ },
}

Colors consists of color information

var ColorsNice = [][]string{
	{"#69d2e7", "#a7dbd8", "#e0e4cc", "#f38630", "#fa6900"},
	{"#fe4365", "#fc9d9a", "#f9cdad", "#c8c8a9", "#83af9b"},
	{"#ecd078", "#d95b43", "#c02942", "#542437", "#53777a"},
	{"#556270", "#4ecdc4", "#c7f464", "#ff6b6b", "#c44d58"},
	{"#774f38", "#e08e79", "#f1d4af", "#ece5ce", "#c5e0dc"},
	{"#e8ddcb", "#cdb380", "#036564", "#033649", "#031634"},
	{"#490a3d", "#bd1550", "#e97f02", "#f8ca00", "#8a9b0f"},
	{"#594f4f", "#547980", "#45ada8", "#9de0ad", "#e5fcc2"},
	{"#00a0b0", "#6a4a3c", "#cc333f", "#eb6841", "#edc951"},
	{"#e94e77", "#d68189", "#c6a49a", "#c6e5d9", "#f4ead5"},
	{"#3fb8af", "#7fc7af", "#dad8a7", "#ff9e9d", "#ff3d7f"},
	{"#d9ceb2", "#948c75", "#d5ded9", "#7a6a53", "#99b2b7"},
	{"#ffffff", "#cbe86b", "#f2e9e1", "#1c140d", "#cbe86b"},
	{"#efffcd", "#dce9be", "#555152", "#2e2633", "#99173c"},
	{"#343838", "#005f6b", "#008c9e", "#00b4cc", "#00dffc"},
	{"#413e4a", "#73626e", "#b38184", "#f0b49e", "#f7e4be"},
	{"#ff4e50", "#fc913a", "#f9d423", "#ede574", "#e1f5c4"},
	{"#99b898", "#fecea8", "#ff847c", "#e84a5f", "#2a363b"},
	{"#655643", "#80bca3", "#f6f7bd", "#e6ac27", "#bf4d28"},
	{"#00a8c6", "#40c0cb", "#f9f2e7", "#aee239", "#8fbe00"},
	{"#351330", "#424254", "#64908a", "#e8caa4", "#cc2a41"},
	{"#554236", "#f77825", "#d3ce3d", "#f1efa5", "#60b99a"},
	{"#5d4157", "#838689", "#a8caba", "#cad7b2", "#ebe3aa"},
	{"#8c2318", "#5e8c6a", "#88a65e", "#bfb35a", "#f2c45a"},
	{"#fad089", "#ff9c5b", "#f5634a", "#ed303c", "#3b8183"},
	{"#ff4242", "#f4fad2", "#d4ee5e", "#e1edb9", "#f0f2eb"},
	{"#f8b195", "#f67280", "#c06c84", "#6c5b7b", "#355c7d"},
	{"#d1e751", "#ffffff", "#000000", "#4dbce9", "#26ade4"},
	{"#1b676b", "#519548", "#88c425", "#bef202", "#eafde6"},
	{"#5e412f", "#fcebb6", "#78c0a8", "#f07818", "#f0a830"},
	{"#bcbdac", "#cfbe27", "#f27435", "#f02475", "#3b2d38"},
	{"#452632", "#91204d", "#e4844a", "#e8bf56", "#e2f7ce"},
	{"#eee6ab", "#c5bc8e", "#696758", "#45484b", "#36393b"},
	{"#f0d8a8", "#3d1c00", "#86b8b1", "#f2d694", "#fa2a00"},
	{"#2a044a", "#0b2e59", "#0d6759", "#7ab317", "#a0c55f"},
	{"#f04155", "#ff823a", "#f2f26f", "#fff7bd", "#95cfb7"},
	{"#b9d7d9", "#668284", "#2a2829", "#493736", "#7b3b3b"},
	{"#bbbb88", "#ccc68d", "#eedd99", "#eec290", "#eeaa88"},
	{"#b3cc57", "#ecf081", "#ffbe40", "#ef746f", "#ab3e5b"},
	{"#a3a948", "#edb92e", "#f85931", "#ce1836", "#009989"},
	{"#300030", "#480048", "#601848", "#c04848", "#f07241"},
	{"#67917a", "#170409", "#b8af03", "#ccbf82", "#e33258"},
	{"#aab3ab", "#c4cbb7", "#ebefc9", "#eee0b7", "#e8caaf"},
	{"#e8d5b7", "#0e2430", "#fc3a51", "#f5b349", "#e8d5b9"},
	{"#ab526b", "#bca297", "#c5ceae", "#f0e2a4", "#f4ebc3"},
	{"#607848", "#789048", "#c0d860", "#f0f0d8", "#604848"},
	{"#b6d8c0", "#c8d9bf", "#dadabd", "#ecdbbc", "#fedcba"},
	{"#a8e6ce", "#dcedc2", "#ffd3b5", "#ffaaa6", "#ff8c94"},
	{"#3e4147", "#fffedf", "#dfba69", "#5a2e2e", "#2a2c31"},
	{"#fc354c", "#29221f", "#13747d", "#0abfbc", "#fcf7c5"},
	{"#cc0c39", "#e6781e", "#c8cf02", "#f8fcc1", "#1693a7"},
	{"#1c2130", "#028f76", "#b3e099", "#ffeaad", "#d14334"},
	{"#a7c5bd", "#e5ddcb", "#eb7b59", "#cf4647", "#524656"},
	{"#dad6ca", "#1bb0ce", "#4f8699", "#6a5e72", "#563444"},
	{"#5c323e", "#a82743", "#e15e32", "#c0d23e", "#e5f04c"},
	{"#edebe6", "#d6e1c7", "#94c7b6", "#403b33", "#d3643b"},
	{"#fdf1cc", "#c6d6b8", "#987f69", "#e3ad40", "#fcd036"},
	{"#230f2b", "#f21d41", "#ebebbc", "#bce3c5", "#82b3ae"},
	{"#b9d3b0", "#81bda4", "#b28774", "#f88f79", "#f6aa93"},
	{"#3a111c", "#574951", "#83988e", "#bcdea5", "#e6f9bc"},
	{"#5e3929", "#cd8c52", "#b7d1a3", "#dee8be", "#fcf7d3"},
	{"#1c0113", "#6b0103", "#a30006", "#c21a01", "#f03c02"},
	{"#000000", "#9f111b", "#b11623", "#292c37", "#cccccc"},
	{"#382f32", "#ffeaf2", "#fcd9e5", "#fbc5d8", "#f1396d"},
	{"#e3dfba", "#c8d6bf", "#93ccc6", "#6cbdb5", "#1a1f1e"},
	{"#f6f6f6", "#e8e8e8", "#333333", "#990100", "#b90504"},
	{"#1b325f", "#9cc4e4", "#e9f2f9", "#3a89c9", "#f26c4f"},
	{"#a1dbb2", "#fee5ad", "#faca66", "#f7a541", "#f45d4c"},
	{"#c1b398", "#605951", "#fbeec2", "#61a6ab", "#accec0"},
	{"#5e9fa3", "#dcd1b4", "#fab87f", "#f87e7b", "#b05574"},
	{"#951f2b", "#f5f4d7", "#e0dfb1", "#a5a36c", "#535233"},
	{"#8dccad", "#988864", "#fea6a2", "#f9d6ac", "#ffe9af"},
	{"#2d2d29", "#215a6d", "#3ca2a2", "#92c7a3", "#dfece6"},
	{"#413d3d", "#040004", "#c8ff00", "#fa023c", "#4b000f"},
	{"#eff3cd", "#b2d5ba", "#61ada0", "#248f8d", "#605063"},
	{"#ffefd3", "#fffee4", "#d0ecea", "#9fd6d2", "#8b7a5e"},
	{"#cfffdd", "#b4dec1", "#5c5863", "#a85163", "#ff1f4c"},
	{"#9dc9ac", "#fffec7", "#f56218", "#ff9d2e", "#919167"},
	{"#4e395d", "#827085", "#8ebe94", "#ccfc8e", "#dc5b3e"},
	{"#a8a7a7", "#cc527a", "#e8175d", "#474747", "#363636"},
	{"#f8edd1", "#d88a8a", "#474843", "#9d9d93", "#c5cfc6"},
	{"#046d8b", "#309292", "#2fb8ac", "#93a42a", "#ecbe13"},
	{"#f38a8a", "#55443d", "#a0cab5", "#cde9ca", "#f1edd0"},
	{"#a70267", "#f10c49", "#fb6b41", "#f6d86b", "#339194"},
	{"#ff003c", "#ff8a00", "#fabe28", "#88c100", "#00c176"},
	{"#ffedbf", "#f7803c", "#f54828", "#2e0d23", "#f8e4c1"},
	{"#4e4d4a", "#353432", "#94ba65", "#2790b0", "#2b4e72"},
	{"#0ca5b0", "#4e3f30", "#fefeeb", "#f8f4e4", "#a5b3aa"},
	{"#4d3b3b", "#de6262", "#ffb88c", "#ffd0b3", "#f5e0d3"},
	{"#fffbb7", "#a6f6af", "#66b6ab", "#5b7c8d", "#4f2958"},
	{"#edf6ee", "#d1c089", "#b3204d", "#412e28", "#151101"},
	{"#9d7e79", "#ccac95", "#9a947c", "#748b83", "#5b756c"},
	{"#fcfef5", "#e9ffe1", "#cdcfb7", "#d6e6c3", "#fafbe3"},
	{"#9cddc8", "#bfd8ad", "#ddd9ab", "#f7af63", "#633d2e"},
	{"#30261c", "#403831", "#36544f", "#1f5f61", "#0b8185"},
	{"#aaff00", "#ffaa00", "#ff00aa", "#aa00ff", "#00aaff"},
	{"#d1313d", "#e5625c", "#f9bf76", "#8eb2c5", "#615375"},
	{"#ffe181", "#eee9e5", "#fad3b2", "#ffba7f", "#ff9c97"},
	{"#73c8a9", "#dee1b6", "#e1b866", "#bd5532", "#373b44"},
	{"#805841", "#dcf7f3", "#fffcdd", "#ffd8d8", "#f5a2a2"},
}

var Company = map[string][]string{
	"name":      { /* 529 elements not displayed */ },
	"suffix":    {"Inc", "and Sons", "LLC", "Group"},
	"buzzwords": { /* 305 elements not displayed */ },
	"bs":        { /* 169 elements not displayed */ },
	"blurb":     {"Advancement", "Advantage", "Ambition", "Balance", "Belief", "Benefits", "Care", "Challenge", "Change", "Choice", "Commitment", "Comfort", "Connection", "Consistency", "Creativity", "Dedication", "Discovery", "Diversity", "Dream", "Dreams", "Drive", "Ease", "Efficiency", "Empowerment", "Endurance", "Energy", "Engagement", "Environment", "Enterprise", "Excellence", "Exclusivity", "Experience", "Exploration", "Expression", "Family", "Flexibility", "Focus", "Freedom", "Future", "Future", "Growth", "Harmony", "Health", "Heart", "History", "Home", "Honesty", "Hope", "Impact", "Innovation", "Inspiration", "Integrity", "Joy", "Journey", "Knowledge", "Leadership", "Legacy", "Life", "Luxury", "Money", "Motivation", "Optimism", "Partnership", "Passion", "Peace", "People", "Performance", "Perseverance", "Pleasure", "Power", "Pride", "Progress", "Promise", "Quality", "Quality", "Reliability", "Resilience", "Respect", "Revolution", "Safety", "Service", "Simplicity", "Solutions", "Solidarity", "Strength", "Style", "Success", "Sustainability", "Taste", "Teamwork", "Technology", "Time", "Transformation", "Trust", "Unity", "Value", "Versatility", "Vision", "Wellness", "World"},
}

Company consists of company information

var Computer = map[string][]string{
	"linux_processor":  {"i686", "x86_64"},
	"mac_processor":    {"Intel", "PPC", "U; Intel", "U; PPC"},
	"windows_platform": {"Windows NT 6.2", "Windows NT 6.1", "Windows NT 6.0", "Windows NT 5.2", "Windows NT 5.1", "Windows NT 5.01", "Windows NT 5.0", "Windows NT 4.0", "Windows 98; Win 9x 4.90", "Windows 98", "Windows 95", "Windows CE"},
}

Computer consists of computer information

var CreditCardTypes = []string{"visa", "mastercard", "american-express", "diners-club", "discover", "jcb", "unionpay", "maestro", "elo", "hiper", "hipercard"}

CreditCardTypes is an array of credit card types

var CreditCards = map[string]CreditCardInfo{
	"visa": {
		Display:  "Visa",
		Patterns: []uint{4},
		Gaps:     []uint{4, 8, 12},
		Lengths:  []uint{16},
		Code: CreditCardCode{
			Name: "CVV",
			Size: 3,
		},
	},
	"mastercard": {
		Display: "Mastercard",
		Patterns: []uint{
			51, 55,
			2221, 2229,
			223, 229,
			23, 26,
			270, 271,
			2720,
		},
		Gaps:    []uint{4, 8, 12},
		Lengths: []uint{16},
		Code: CreditCardCode{
			Name: "CVC",
			Size: 3,
		},
	},
	"american-express": {
		Display:  "American Express",
		Patterns: []uint{34, 37},
		Gaps:     []uint{4, 10},
		Lengths:  []uint{15},
		Code: CreditCardCode{
			Name: "CID",
			Size: 4,
		},
	},
	"diners-club": {
		Display: "Diners Club",
		Patterns: []uint{
			300, 305,
			36, 38, 39,
		},
		Gaps:    []uint{4, 10},
		Lengths: []uint{14, 16, 19},
		Code: CreditCardCode{
			Name: "CVV",
			Size: 3,
		},
	},
	"discover": {
		Display: "Discover",
		Patterns: []uint{
			6011, 644, 649, 65,
		},
		Gaps:    []uint{4, 8, 12},
		Lengths: []uint{16, 19},
		Code: CreditCardCode{
			Name: "CID",
			Size: 3,
		},
	},
	"jcb": {
		Display: "JCB",
		Patterns: []uint{
			2131, 1800, 3528, 3589,
		},
		Gaps:    []uint{4, 8, 12},
		Lengths: []uint{16, 17, 18, 19},
		Code: CreditCardCode{
			Name: "CVV",
			Size: 3,
		},
	},
	"unionpay": {
		Display: "UnionPay",
		Patterns: []uint{
			620, 624, 626,
			62100, 62182,
			62184, 62187,
			62185, 62197,
			62200, 62205,
			622010, 622999,
			622018,
			622019, 622999,
			62207, 62209,
			622126, 622925,
			623, 626,
			6270, 6272, 6276,
			627700, 627779,
			627781, 627799,
			6282, 6289,
			6291, 6292,
			810,
			8110, 8131,
			8132, 8151,
			8152, 8163,
			8164, 817,
		},
		Gaps:    []uint{4, 8, 12},
		Lengths: []uint{14, 15, 16, 17, 18, 19},
		Code: CreditCardCode{
			Name: "CVN",
			Size: 3,
		},
	},
	"maestro": {
		Display: "Maestro",
		Patterns: []uint{
			493698,
			500000, 506698,
			506779, 508999,
			56, 59,
			6, 63, 67,
		},
		Gaps:    []uint{4, 8, 12},
		Lengths: []uint{12, 13, 14, 15, 16, 17, 18, 19},
		Code: CreditCardCode{
			Name: "CVC",
			Size: 3,
		},
	},
	"elo": {
		Display: "Elo",
		Patterns: []uint{
			401178, 401179,
			438935, 457631,
			457632, 431274,
			451416, 457393,
			504175, 506699,
			506778, 509000,
			509999, 627780,
			636297, 636368,
			650031, 650033,
			650035, 650051,
			650405, 650439,
			650485, 650538,
			650541, 650598,
			650700, 650718,
			650720, 650727,
			650901, 650978,
			651652, 651679,
			655000, 655019,
			655021, 65505,
		},
		Gaps:    []uint{4, 8, 12},
		Lengths: []uint{16},
		Code: CreditCardCode{
			Name: "CVE",
			Size: 3,
		},
	},
	"mir": {
		Display:  "Mir",
		Patterns: []uint{2200, 2204},
		Gaps:     []uint{4, 8, 12},
		Lengths:  []uint{16, 17, 18, 19},
		Code: CreditCardCode{
			Name: "CVP2",
			Size: 3,
		},
	},
	"hiper": {
		Display: "Hiper",
		Patterns: []uint{
			637095,
			637568,
			637599,
			637609,
			637612,
		},
		Gaps:    []uint{4, 8, 12},
		Lengths: []uint{16},
		Code: CreditCardCode{
			Name: "CVC",
			Size: 3,
		},
	},
	"hipercard": {
		Display:  "Hipercard",
		Patterns: []uint{606282},
		Gaps:     []uint{4, 8, 12},
		Lengths:  []uint{16},
		Code: CreditCardCode{
			Name: "CVC",
			Size: 3,
		},
	},
}

CreditCards contains payment information

var Currency = map[string][]string{
	"short": { /* 163 elements not displayed */ },
	"long":  { /* 163 elements not displayed */ },
}

Currency consists of currency information

var Data = map[string]map[string][]string{
	"person":    Person,
	"address":   Address,
	"company":   Company,
	"job":       Job,
	"lorem":     Lorem,
	"language":  Languages,
	"internet":  Internet,
	"file":      Files,
	"color":     Colors,
	"computer":  Computer,
	"hipster":   Hipster,
	"beer":      Beer,
	"hacker":    Hacker,
	"animal":    Animal,
	"currency":  Currency,
	"log_level": LogLevels,
	"timezone":  TimeZone,
	"car":       Car,
	"emoji":     Emoji,
	"word":      Word,
	"sentence":  Sentence,
	"food":      Food,
	"minecraft": Minecraft,
	"celebrity": Celebrity,
	"error":     Error,
	"html":      Html,
	"book":      Books,
	"movie":     Movies,
}

Data consists of the main set of fake information

var Emoji = map[string][]string{
	"emoji": { /* 1737 elements not displayed */

	},
	"description": { /* 1805 elements not displayed */

	},
	"category": {
		"Smileys & Emotion",
		"People & Body",
		"Animals & Nature",
		"Food & Drink",
		"Travel & Places",
		"Activities",
		"Objects",
		"Symbols",
		"Flags",
	},
	"alias": { /* 1848 elements not displayed */

	},
	"tag": { /* 447 elements not displayed */

	},
}

Emoji consists of emoji information

var Error = map[string][]string{
	"object": {
		"argument",
		"buffer",
		"connection",
		"database",
		"header",
		"hostname",
		"method",
		"object",
		"parameter",
		"pointer",
		"port",
		"protocol",
		"request",
		"response",
		"server",
		"service",
		"signature",
		"tag",
		"undefined",
		"url",
		"uri",
		"variable",
	},
	"generic": {
		"error",
		"syntax error",
		"requested {errorobject} is unavailable",
		"failed to {hackerverb} {errorobject}",
		"expected {errorobject} is undefined",
		"[object Object]",
		"no such variable",
		"{errorobject} not initialized",
		"variable assigned before declaration",
	},
	"database": {
		"sql error",
		"database connection error",
		"table does not exist",
		"unique key constraint",
		"table migration failed",
		"bad connection",
		"destination pointer is nil",
	},
	"grpc": {
		"connection refused",
		"connection closed",
		"connection is shut down",
		"client protocol error",
	},
	"http": {
		"cross-origin-resource-policy error",
		"feature not supported",
		"trailer header without chunked transfer encoding",
		"no multipart boundary param in Content-Type",
		"request Content-Type isn't multipart/form-data",
		"header too long",
		"entity body too short",
		"missing ContentLength in HEAD response",
		"named cookie not present",
		"invalid method",
		"connection has been hijacked",
		"request method or response status code does not allow body",
		"wrote more than the declared Content-Length",
		"{httpmethod} not allowed",
	},
	"http_client": {
		"bad request",
		"unauthorized",
		"payment required",
		"forbidden",
		"not found",
		"method not allowed",
		"not acceptable",
		"proxy authentication required",
		"request timeout",
		"conflict",
		"gone",
		"length required",
		"precondition failed",
		"payload too large",
		"URI too long",
		"unsupported media type",
		"range not satisfiable",
		"expectation failed",
		"im a teapot",
	},
	"http_server": {
		"internal server error",
		"not implemented",
		"bad gateway",
		"service unavailable",
		"gateway timeout",
		"http version not supported",
		"variant also negotiates",
		"insufficient storage",
		"loop detected",
		"not extended",
		"network authentication required",
	},
	"runtime": {
		"panic: runtime error: invalid memory address or nil pointer dereference",
		"address out of bounds",
		"undefined has no such property 'length'",
		"not enough arguments",
		"expected 2 arguments, got 3",
	},
	"validation": {
		"invalid format",
		"missing required field",
		"{inputname} is required",
		"{inputname} max length exceeded",
		"{inputname} must be at exactly 16 characters",
		"{inputname} must be at exactly 32 bytes",
		"failed to parse {inputname}",
		"date is in the past",
		"payment details cannot be verified",
	},
}

var Files = map[string][]string{
	"mime_type": { /* 639 elements not displayed */ },
	"extension": { /* 167 elements not displayed */ },
}

Files consists of file information

var Food = map[string][]string{
	"fruit":     {"Apple", "Apricot", "Avocado", "Banana", "Bilberry", "Blackberry", "Blackcurrant", "Blueberry", "Currant", "Cherry", "Cherimoya", "Clementine", "Date", "Damson", "Durian", "Eggplant", "Elderberry", "Feijoa", "Gooseberry", "Grape", "Grapefruit", "Guava", "Huckleberry", "Jackfruit", "Jambul", "Kiwi", "Kumquat", "Legume", "Lemon", "Lime", "Lychee", "Mango", "Mangostine", "Melon", "Cantaloupe", "Honeydew", "Watermelon", "Rock melon", "Nectarine", "Orange", "Peach", "Pear", "Pitaya", "Physalis", "Plum", "Pineapple", "Pomegranate", "Raisin", "Raspberry", "Rambutan", "Redcurrant", "Satsuma", "Strawberry", "Tangerine", "Tomato", "Watermelon"},
	"vegetable": {"Amaranth Leaves", "Arrowroot", "Artichoke", "Arugula", "Asparagus", "Bamboo Shoots", "Beans, Green", "Beets", "Belgian Endive", "Bitter Melon*", "Bok Choy", "Broadbeans", "Broccoli", "Broccoli Rabe", "Brussel Sprouts", "Cabbage", "Carrot", "Cassava", "Cauliflower", "Celeriac", "Celery", "Chicory", "Collards", "Corn", "Crookneck", "Cucumber", "Daikon", "Dandelion Greens", "Eggplant", "Fennel", "Fiddleheads", "Ginger Root", "Horseradish", "Jicama", "Kale", "Kohlrabi", "Leeks", "Lettuce", "Mushrooms", "Mustard Greens", "Okra", "Onion", "Parsnip", "Peas", "Pepper", "Potato", "Pumpkin", "Radicchio", "Radishes", "Rutabaga", "Salsify", "Shallots", "Snow Peas", "Sorrel", "Soybeans", "Spaghetti Squash", "Spinach", "Squash", "Sugar Snap Peas", "Sweet Potato", "Swiss Chard", "Tomato", "Turnip", "Watercress", "Yam Root", "Zucchini"},
	"breakfast": {"berry cream cheese coffee cake", "broiled cinnamon toast", "breakfast casserole seasoned with country gravy", "mamas fruit cobbler", "shirleys plain or blueberry muffins", "toasted sunny side up egg and cheese sandwiches", "3 meat breakfast pizza", "moms cheat doughnuts", "old fashioned banana muffins", "blackberry breakfast bars", "pikelets australian pancakes", "pumpkin ginger scones with cinnamon chips", "tomato and mushroom omelette", "asparagus omelette wraps", "poached eggs technique", "scrambled egg sandwiches with onions and red peppers", "cheesecake kugel", "chicken and egg on rice oyako donburi", "bacon egg casserole", "ginger lemon muffins", "lizs morning glory muffins", "scrambled eggs oeufs brouills", "nats cucumber cream cheese bagel", "easy breakfast casserole", "6 week bran muffins auntie annes muffins", "awesome orange chocolate muffins", "baked swiss cheese omelet", "melt in your mouth blueberry muffins", "baked pears", "flaeskeaeggekage danish bacon egg pancake omelet", "sleepy twisted sisters g n g breakfast ramekin", "lemon buttercream pancakes with blueberries", "chef flowers simple sunday brunch omelette", "blueberry bakery muffins", "cardamom sour cream waffles", "sausage gravy for biscuits and gravy", "creamy scrambled eggs in the microwave", "english muffins with bacon butter", "original praline bacon recipe", "christmas caramel rolls easy", "blueberry banana happy face pancakes", "whole grain pancake mix", "fresh mango bread", "canadian bacon cheese omelet", "pumpkin french toast with toasted walnuts", "green mountain granola", "italian eggs with bacon", "a faster egg muffin", "country scrambled eggs", "everyday french breakfast baguette and jam with chocolate milk", "mexi eggs in a hole", "fruited irish oatmeal", "ham omelet deluxe", "danish bubble", "best buttermilk pancakes", "egg flowers", "vanilla fruit dip", "eggs in a basket", "grandmas swedish thin pancakes", "cinnamon maple granola", "wake up stuffed french breakfast panini", "quinoa muffins", "grilled cheese on raisin bread", "castillian hot chocolate", "banana blueberry oatmeal bread", "caramel pull aparts", "purple cow", "chili jack oven omelet", "cheery cherry muffins", "israeli breakfast salad", "muffin toppings", "migas lite for 2", "easy danish kringle", "oatmeal cookie granola"},
	"lunch":     { /* 132 elements not displayed */ },
	"dinner":    { /* 214 elements not displayed */ },
	"drink":     {"water", "tea", "milk", "juice", "coffee", "soda", "smoothie", "beer", "wine"},
	"snack":     {"hoisin marinated wing pieces", "feta marinated", "spicy roasted butternut seeds pumpkin seeds", "honey chipotle pecans", "best ever bruschetta", "body and soul health muffins", "kittencals beef burritos", "the traditional cyprus sandwich with halloumi onions and tomato", "delicious cheesy bacon and green onion potato skins", "fried almonds", "nifs peanut butter banana muffins", "lemon parsley popcorn", "not your ordinary chocolate chip cookies liqueur laced", "delicious and simple fruit dip", "fresh mango bread", "hot salty nuts", "omas boterkoek dutch buttercake", "apple butterflies", "lemon coconut muffins", "green mountain granola", "crispy fried chicken spring rolls", "guacamole stuffed deviled eggs", "hummus with a twist", "quick elephant ears", "homemade popsicles", "1 2 3 black bean salsa dip", "fantastic banana bran muffins", "sugared cinnamon almonds", "pumpkin chocolate chip muffins", "oatmeal cookie granola"},
	"dessert":   { /* 151 elements not displayed */ },
}

Food consists of food information

var Hacker = map[string][]string{
	"abbreviation": {"TCP", "HTTP", "SDD", "RAM", "GB", "CSS", "SSL", "AGP", "SQL", "FTP", "PCI", "AI", "ADP", "RSS", "XML", "EXE", "COM", "HDD", "THX", "SMTP", "SMS", "USB", "PNG", "SAS", "IB", "SCSI", "JSON", "XSS", "JBOD"},
	"adjective":    {"auxiliary", "primary", "back-end", "digital", "open-source", "virtual", "cross-platform", "redundant", "online", "haptic", "multi-byte", "bluetooth", "wireless", "1080p", "neural", "optical", "solid state", "mobile"},
	"noun":         {"driver", "protocol", "bandwidth", "panel", "microchip", "program", "port", "card", "array", "interface", "system", "sensor", "firewall", "hard drive", "pixel", "alarm", "feed", "monitor", "application", "transmitter", "bus", "circuit", "capacitor", "matrix"},
	"verb":         {"back up", "bypass", "hack", "override", "compress", "copy", "navigate", "index", "connect", "generate", "quantify", "calculate", "synthesize", "input", "transmit", "program", "reboot", "parse", "read", "write", "load", "render", "validate", "verify", "sign", "decrypt", "encrypt", "construct", "deconstruct", "compile", "transpile", "bundle", "lock", "unlock", "buffer", "format"},
	"ingverb":      {"backing up", "bypassing", "hacking", "overriding", "compressing", "copying", "navigating", "indexing", "connecting", "generating", "quantifying", "calculating", "synthesizing", "transmitting", "programming", "parsing"},
	"phrase": {
		"" /* 155 byte string literal not displayed */,
		"We need to {hackerverb} the {hackeradjective} {hackerabbreviation} {hackernoun}!",
		"Try to {hackerverb} the {hackerabbreviation} {hackernoun}, maybe it will {hackerverb} the {hackeradjective} {hackernoun}!",
		"You can't {hackerverb} the {hackernoun} without {hackeringverb} the {hackeradjective} {hackerabbreviation} {hackernoun}!",
		"Use the {hackeradjective} {hackerabbreviation} {hackernoun}, then you can {hackerverb} the {hackeradjective} {hackernoun}!",
		"" /* 158 byte string literal not displayed */,
		"" /* 134 byte string literal not displayed */,
		"" /* 140 byte string literal not displayed */,
	},
}

Hacker consists of random hacker phrases

var Hipster = map[string][]string{
	"word": { /* 201 elements not displayed */ },
}

Hipster consists of random hipster words

var Html = map[string][]string{
	"svg":        {"rect", "circle", "ellipse", "line", "polyline", "polygon"},
	"input_name": {"title", "first_name", "last_name", "suffix", "address", "postal_code", "city", "state", "country", "date_of_birth", "card_number", "description", "message", "status"},
}

Html consists of various html information

var Internet = map[string][]string{
	"browser":             {"firefox", "chrome", "internetExplorer", "opera", "safari"},
	"domain_suffix":       {"com", "biz", "info", "name", "net", "org", "io"},
	"http_method":         {"HEAD", "GET", "POST", "PUT", "PATCH", "DELETE"},
	"http_version":        {"HTTP/1.0", "HTTP/1.1", "HTTP/2.0"},
	"http_status_simple":  {"200", "301", "302", "400", "404", "500"},
	"http_status_general": {"100", "200", "201", "203", "204", "205", "301", "302", "304", "400", "401", "403", "404", "405", "406", "416", "500", "501", "502", "503", "504"},
}

Internet consists of various internet information

var Job = map[string][]string{
	"title":      {"Administrator", "Agent", "Analyst", "Architect", "Assistant", "Associate", "Consultant", "Coordinator", "Designer", "Developer", "Director", "Engineer", "Executive", "Facilitator", "Liaison", "Manager", "Officer", "Orchestrator", "Planner", "Producer", "Representative", "Specialist", "Strategist", "Supervisor", "Technician"},
	"descriptor": {"Central", "Chief", "Corporate", "Customer", "Direct", "District", "Dynamic", "Dynamic", "Forward", "Future", "Global", "Human", "Internal", "International", "Investor", "Lead", "Legacy", "National", "Principal", "Product", "Regional", "Senior"},
	"level":      {"Accountability", "Accounts", "Applications", "Assurance", "Brand", "Branding", "Communications", "Configuration", "Creative", "Data", "Directives", "Division", "Factors", "Functionality", "Group", "Identity", "Implementation", "Infrastructure", "Integration", "Interactions", "Intranet", "Marketing", "Markets", "Metrics", "Mobility", "Operations", "Optimization", "Paradigm", "Program", "Quality", "Research", "Response", "Security", "Solutions", "Tactics", "Usability", "Web"},
}

Job consists of job data

var Languages = map[string][]string{
	"short":       { /* 177 elements not displayed */ },
	"long":        { /* 177 elements not displayed */ },
	"bcp":         {"ar-SA", "cs-CZ", "da-DK", "de-DE", "el-GR", "en-AU", "en-GB", "en-IE", "en-US", "en-ZA", "es-ES", "es-MX", "fi-FI", "fr-CA", "fr-FR", "he-IL", "hi-IN", "hu-HU", "id-ID", "it-IT", "ja-JP", "ko-KR", "nl-BE", "nl-NL", "no-NO", "pl-PL", "pt-BR", "pt-PT", "ro-RO", "ru-RU", "sk-SK", "sv-SE", "th-TH", "tr-TR", "zh-CN", "zh-HK", "zh-TW"},
	"programming": { /* 705 elements not displayed */ },
}

Languages consists of address information

var LogLevels = map[string][]string{
	"general": {"error", "warning", "info", "fatal", "trace", "debug"},
	"syslog":  {"emerg", "alert", "crit", "err", "warning", "notice", "info", "debug"},
	"apache":  {"emerg", "alert", "crit", "error", "warn", "notice", "info", "debug", "trace1-8"},
}

LogLevels consists of log levels for several types

var Lorem = map[string][]string{
	"word": { /* 249 elements not displayed */ },
}

Lorem consists of lorem ipsum information

var Minecraft = map[string][]string{
	"ore":             {"coal", "copper", "iron", "gold", "redstone", "lapis", "diamond", "emerald"},
	"wood":            {"oak", "spruce", "birch", "jungle", "acacia", "dark oak"},
	"armortier":       {"leather", "chainmail", "iron", "gold", "diamond", "netherite"},
	"armorpart":       {"helmet", "chestplate", "leggings", "boots"},
	"weapon":          {"sword", "bow", "arrow", "trident", "shield"},
	"tool":            {"pickaxe", "axe", "shovel", "hoe", "fishing rod"},
	"dye":             {"white", "orange", "magenta", "light blue", "yellow", "lime", "pink", "gray", "light gray", "cyan", "purple", "blue", "brown", "green", "red", "black"},
	"food":            {"apple", "baked potato", "beetroot", "beetroot soup", "bread", "cake", "carrot", "chorus fruit", "cooked chicken", "cooked cod", "cooked mutton", "cooked salmon", "cookie", "enchanted golden apple", "golden apple", "glow berry", "golden carrot", "honey bottle", "melon slice", "mushroom stew", "poisonous potato", "potato", "pufferfish", "pumpkin pie", "rabbit stew", "raw beef", "raw chicken", "raw cod", "raw mutton", "raw porkchop", "raw rabbit", "raw salmon", "rotten flesh", "spider eye", "steak", "suspicous stew", "sweet berry", "tropical fish"},
	"animal":          {"chicken", "cow", "pig", "rabbit", "sheep", "wolf"},
	"villagerjob":     {"armourer", "butcher", "carpenter", "cleric", "farmer", "fisherman", "fletcher", "leatherworker", "librarian", "mason", "nitwit", "shepherd", "toolsmith", "weaponsmith"},
	"villagerstation": {"composter", "smoker", "barrel", "loom", "blast furnace", "brewing stand", "cauldron", "fletching table", "cartography table", "lectern", "smithing table", "stonecutter", "grindstone"},
	"villagerlevel":   {"novice", "apprentice", "journeyman", "expert", "master"},
	"mobpassive":      {"axolotl", "bat", "cat", "chicken", "cod", "cow", "donkey", "fox", "glow squid", "horse", "mooshroom", "mule", "ocelot", "parrot", "pig", "pufferfish", "rabbit", "salmon", "sheep", "skeleton horse", "snow golem", "squid", "strider", "tropical fish", "turtle", "villager", "wandering trader"},
	"mobneutral":      {"bee", "cave spider", "dolphin", "enderman", "goat", "iron golem", "llama", "panda", "piglin", "polar bear", "spider", "trader llama", "wolf", "zombified piglin"},
	"mobhostile":      {"blaze", "chicken jockey", "creeper", "drowned", "elder guardian", "endermite", "evoker", "ghast", "guardian", "hoglin phantom", "husk", "magma cube", "phantom", "piglin brute", "pillager", "ravager", "shulker", "silverfish", "skeleton", "skeleton horseman", "slime", "spider jockey", "stray", "vex", "vindicator", "witch", "wither skeleton", "zoglin", "zombie", "zombie villager"},
	"mobboss":         {"ender dragon", "wither"},
	"biome":           {"plain", "forest", "jungle", "mountain", "desert", "taiga", "snowy tundra", "ice spike", "swamp", "savannah", "badlands", "beach", "stone shore", "river", "ocean", "mushroom island", "the nether", "the end"},
	"weather":         {"clear", "rain", "thunder"},
}

Minecraft consists of various minecraft items

var Movies = map[string][]string{
	"name": {
		"12 Years a Slave",
		"1917",
		"2001: A Space Odyssey",
		"3 Idiots",
		"A Beautiful Mind",
		"A Clockwork Orange",
		"Alien",
		"American Beauty",
		"American History X",
		"Apocalypse Now",
		"Avengers: Infinity War",
		"Back to the Future",
		"Batman Begins",
		"Ben-Hur",
		"Blade Runner",
		"Casablanca",
		"Casino",
		"Catch Me If You Can",
		"Das Leben der Anderen",
		"Dead Poets Society",
		"Die Hard",
		"Django Unchained",
		"Fight Club",
		"Finding Nemo",
		"Forrest Gump",
		"Full Metal Jacket",
		"Gandhi",
		"Gladiator",
		"Gone with the Wind",
		"Good Will Hunting",
		"Goodfellas",
		"Green Book",
		"Groundhog Day",
		"Harry Potter and the Deathly Hallows - Part 2",
		"Heat",
		"Inception",
		"Indiana Jones and the Last Crusade",
		"Inglourious Basterds",
		"Interstellar",
		"Into the Wild",
		"Intouchables",
		"Joker",
		"Judgment at Nuremberg",
		"Jurassic Park",
		"Kill Bill: Vol. 1",
		"L.A. Confidential",
		"La vita è bella",
		"Lock, Stock and Two Smoking Barrels",
		"Léon",
		"Mad Max: Fury Road",
		"Memento",
		"Million Dollar Baby",
		"Monsters, Inc.",
		"Monty Python and the Holy Grail",
		"No Country for Old Men",
		"Once Upon a Time in America",
		"One Flew Over the Cuckoo's Nest",
		"Pirates of the Caribbean: The Curse of the Black Pearl",
		"Platoon",
		"Prisoners",
		"Psycho",
		"Pulp Fiction",
		"Raiders of the Lost Ark",
		"Ratatouille",
		"Reservoir Dogs",
		"Rocky",
		"Saving Private Ryan",
		"Scarface",
		"Schindler's List",
		"Se7en",
		"Sherlock Jr.",
		"Shutter Island",
		"Snatch",
		"Spider-Man: No Way Home",
		"Star Wars: Episode VI - Return of the Jedi",
		"Taxi Driver",
		"Terminator 2: Judgment Day",
		"The Big Lebowski",
		"The Dark Knight",
		"The Departed",
		"The Empire Strikes Back",
		"The Godfather",
		"The Green Mile",
		"The Lion King",
		"The Lord of the Rings: The Fellowship of the Ring",
		"The Matrix",
		"The Pianist",
		"The Prestige",
		"The Shawshank Redemption",
		"The Terminator",
		"The Usual Suspects",
		"The Wolf of Wall Street",
		"Top Gun: Maverick",
		"Toy Story",
		"Unforgiven",
		"Up",
		"V for Vendetta",
		"WALL·E",
		"Warrior",
		"Whiplash",
	},
	"genre": {
		"Action",
		"Adventure",
		"Animation",
		"Biography",
		"Comedy",
		"Crime",
		"Drama",
		"Family",
		"Fantasy",
		"Film-Noir",
		"History",
		"Horror",
		"Music",
		"Musical",
		"Mystery",
		"Romance",
		"Sci-Fi",
		"Sport",
		"Thriller",
		"War",
		"Western",
	},
}

From IMDB - Top 250 Movies subset to 100

var Person = map[string][]string{
	"prefix": {"Mr.", "Mrs.", "Ms.", "Miss", "Dr."},
	"suffix": {"Jr.", "Sr.", "I", "II", "III", "IV", "V", "MD", "DDS", "PhD", "DVM"},
	"first":  { /* 3007 elements not displayed */ },
	"middle": { /* 835 elements not displayed */ },
	"last":   { /* 469 elements not displayed */ },
	"hobby":  { /* 494 elements not displayed */ },
	"phone":  {"###-###-####", "(###)###-####", "1-###-###-####", "###.###.####"},
}

Person consists of a slice of people information

var Sentence = map[string][]string{
	"phrase": { /* 404 elements not displayed */ },
}

var TimeZone = map[string][]string{
	"offset": { /* 106 elements not displayed */ },
	"abr":    { /* 106 elements not displayed */ },
	"text":   { /* 106 elements not displayed */ },
	"full":   { /* 106 elements not displayed */ },
	"region": { /* 503 elements not displayed */ },
}

TimeZone is an array of short and long timezones

var Word = map[string][]string{

	"noun_common":            {"time", "person", "year", "way", "day", "thing", "man", "world", "life", "hand", "part", "child", "eye", "woman", "place", "work", "week", "case", "point", "government", "company", "number", "group", "problem", "fact"},
	"noun_concrete":          { /* 399 elements not displayed */ },
	"noun_abstract":          {"fiction", "horror", "dream", "luck", "movement", "right", "clarity", "joy", "care", "trend", "belief", "sorrow", "joy", "failure", "slavery", "riches", "fashion", "envy", "success", "fear", "union", "luxury", "freedom", "generosity", "wit", "peace", "hatred", "thrill", "brilliance", "care", "wealth", "religion", "divorce", "goal", "stupidity", "friendship", "goodness", "rhythm", "timing", "infancy", "disregard", "riches", "appetite", "loneliness", "pleasure", "love", "beauty", "annoyance", "kindness", "nap", "gain", "talent", "religion", "lie", "truth", "solitude", "justice", "bravery", "calm", "childhood", "confusion", "ability", "loss", "thought", "growth", "cleverness", "anger", "horror", "marriage", "delay", "philosophy", "generation", "wisdom", "dishonesty", "happiness", "coldness", "poverty", "brilliance", "luxuty", "sleep", "awareness", "idea", "disregard", "slavery", "growth", "company", "irritation", "advantage", "mercy", "speed", "pain", "gossip", "crime", "comfort", "frailty", "life", "patience", "omen", "deceit", "elegance"},
	"noun_collective_people": {"band", "troupe", "dynasty", "group", "bevy", "staff", "crowd", "party", "board", "regiment", "crew", "tribe", "body", "patrol", "congregation", "pack", "bunch", "company", "team", "mob", "caravan", "line", "troop", "choir", "host", "posse", "class", "gang", "horde"},
	"noun_collective_animal": {"cackle", "mustering", "mob", "wisp", "pod", "bale", "murder", "muster", "brace", "exaltation", "party", "flock", "cast", "sedge", "stand", "scold", "team", "covey", "trip", "army", "school", "nest", "leap", "host", "troop"},
	"noun_collective_thing":  {"wad", "pair", "album", "string", "anthology", "reel", "outfit", "fleet", "comb", "archipelago", "quiver", "bale", "packet", "hedge", "basket", "orchard", "batch", "library", "battery", "set", "harvest", "block", "forest", "book", "group", "bouquet", "collection", "bowl", "stack", "bunch", "hand", "bundle", "catalog", "shower", "ream", "chest", "heap", "range", "cluster", "pack", "hail", "cloud", "galaxy", "sheaf", "clump"},
	"noun_countable":         { /* 361 elements not displayed */ },
	"noun_uncountable":       { /* 160 elements not displayed */ },

	"verb_action":       {"ride", "sit", "stand", "fight", "laugh", "read", "play", "listen", "cry", "think", "sing", "watch", "dance", "turn", "win", "fly", "cut", "throw", "sleep", "close", "open", "write", "give", "jump", "eat", "drink", "cook", "wash", "wait", "climb", "talk", "crawl", "dream", "dig", "clap", "knit", "sew", "smell", "kiss", "hug", "snore", "bathe", "bow", "paint", "dive", "ski", "stack", "buy", "shake"},
	"verb_transitive":   { /* 184 elements not displayed */ },
	"verb_intransitive": { /* 104 elements not displayed */ },
	"verb_linking":      {"am", "is", "was", "are", "were", "being", "been", "be", "have", "has", "had", "do", "does", "did", "shall", "will", "should", "would", "may", "might", "must", "can", "could"},
	"verb_helping":      {"is", "can", "be", "do", "may", "had", "should", "was", "has", "could", "are", "will", "been", "did", "might", "were", "does", "must", "have", "would", "am", "shall", "being"},

	"adverb_manner":               { /* 130 elements not displayed */ },
	"adverb_degree":               {"almost", "absolutely", "awfully", "badly", "barely", "completely", "decidedly", "deeply", "enough", "enormously", "entirely", "extremely", "fairly", "far", "fully", "greatly", "hardly", "highly", "how", "incredibly", "indeed", "intensely", "just", "least", "less", "little", "lots", "most", "much", "nearly", "perfectly", "positively", "practically", "pretty", "purely", "quite", "rather", "really", "scarcely", "simply", "so", "somewhat", "strongly", "terribly", "thoroughly", "too", "totally", "utterly", "very", "virtually", "well"},
	"adverb_place":                {"about", "above", "abroad", "anywhere", "away", "back", "backwards", "behind", "below", "down", "downstairs", "east", "elsewhere", "far", "here", "in", "indoors", "inside", "near", "nearby", "off", "on", "out", "outside", "over", "there", "towards", "under", "up", "upstairs", "where"},
	"adverb_time_definite":        {"now", "then", "today", "tomorrow", "tonight", "yesterday"},
	"adverb_time_indefinite":      {"already", "before", "early", "earlier", "eventually", "finally", "first", "formerly", "just", "last", "late", "later", "lately", "next", "previously", "recently", "since", "soon", "still", "yet"},
	"adverb_frequency_definite":   {"annually", "daily", "fortnightly", "hourly", "monthly", "nightly", "quarterly", "weekly", "yearly"},
	"adverb_frequency_indefinite": {"always", "constantly", "ever", "frequently", "generally", "infrequently", "never", "normally", "occasionally", "often", "rarely", "regularly", "seldom", "sometimes", "regularly", "usually"},

	"preposition_simple":   {"at", "by", "as", "but", "from", "for", "into", "in", "than", "of", "off", "on", "out", "over", "till", "to", "up", "upon", "with", "under", "down"},
	"preposition_double":   {"outside of", "out of", "upon", "within", "inside", "without", "onto", "from behind", "because of", "out of", "throughout", "up to", "before", "due to", "according to", "from beneath", "next to", "from above"},
	"preposition_compound": {"according to", "as to", "onto", "across", "after", "beyond", "without", "opposite to", "away from", "aside from", "in favor of", "in front of", "because of", "as for", "near to", "behind", "along", "outside", "on account of", "on behalf of", "but for", "ahead of", "close to", "despite", "depending on", "due to", "in addition to", "next to", "in between", "in case of", "owing to", "along with", "around", "between", "apart from", "in return for", "out of", "instead of", "outside of", "other than", "together with", "up to", "above", "about"},

	"adjective_descriptive":   { /* 218 elements not displayed */ },
	"adjective_quantitative":  {"a little", "a little bit", "a lot", "abundant", "all", "any", "couple", "double", "each", "either", "empty", "enough", "enough of", "every", "few", "full", "great", "half", "heavily", "heavy", "huge", "hundred", "hundreds", "insufficient", "light", "little", "lots of", "many", "most", "much", "neither", "no", "numerous", "plenty of", "several", "significant", "single", "so few", "some", "sparse", "substantial", "sufficient", "too", "whole"},
	"adjective_proper":        { /* 129 elements not displayed */ },
	"adjective_demonstrative": {"this", "that", "these", "those", "it", "here", "there", "over there"},
	"adjective_possessive":    {"my", "your", "his", "her", "its", "our", "their"},
	"adjective_interrogative": {"what", "whose", "where", "why", "how", "which"},
	"adjective_indefinite":    {"all", "any", "anything", "everyone", "few", "nobody", "one", "some", "someone", "everybody", "anyone", "each", "everything", "many", "none", "several", "somebody"},

	"pronoun_personal":      {"I", "we", "you", "he", "she", "it", "they"},
	"pronoun_object":        {"me", "us", "you", "her", "him", "it", "them"},
	"pronoun_possessive":    {"mine", "ours", "yours", "hers", "his", "theirs"},
	"pronoun_reflective":    {"myself", "yourself", "herself", "himself", "itself", "ourselves", "yourselves", "themselves"},
	"pronoun_indefinite":    {"all", "another", "any", "anybody", "anyone", "anything", "both", "each", "either", "everybody", "everyone", "everything", "few", "many", "most", "neither", "nobody", "none", "no one", "nothing", "one", "other", "others", "several", "some", "somebody", "someone", "something", "such"},
	"pronoun_demonstrative": {"this", "that", "these", "those"},
	"pronoun_interrogative": {"who", "whom", "which", "what", "whose", "where", "when", "why", "how"},
	"pronoun_relative":      {"as", "that", "what", "whatever", "which", "whichever", "who", "whoever", "whom", "whomever", "whose"},

	"connective_time":        {"after a while", "afterwards", "at once", "at this moment", "at this point", "before that", "finally", "first", "here", "in the end", "lastly", "later on", "meanwhile", "next", "next time", "now", "on another occasion", "previously", "since", "soon", "straightaway", "then", "until then", "when", "whenever", "while"},
	"connective_comparitive": {"additionally", "also", "as well", "even", "furthermore", "in addition", "indeed", "let alone", "moreover", "not only", "alternatively", "anyway", "but", "by contrast", "differs from", "elsewhere", "even so", "however", "in contrast", "in fact", "in other respects", "in spite of this", "in that respect", "instead", "nevertheless", "on the contrary", "on the other hand", "rather", "though", "whereas", "yet", "after all", "anyway", "besides", "moreover"},
	"connective_complaint":   {"besides", "e.g.", "for example", "for instance", "i.e.", "in other words", "in that", "that is to say"},
	"connective_listing":     {"firstly", "secondly", "first of all", "finally", "lastly", "for one thing", "for another", "in the first place", "to begin with", "next", "in summation", "to conclude"},
	"connective_casual":      {"accordingly", "all the same", "an effect of", "an outcome of", "an upshot of", "as a consequence of", "as a result of", "because", "caused by", "consequently", "despite this", "even though", "hence", "however", "in that case", "moreover", "nevertheless", "otherwise", "so", "so as", "stemmed from", "still", "then", "therefore", "though", "under the circumstances", "yet"},
	"connective_examplify":   {"accordingly", "as a result", "as exemplified by", "consequently", "for example", "for instance", "for one thing", "including", "provided that", "since", "so", "such as", "then", "therefore", "these include", "through", "unless", "without"},
}

Word consists of common english words

var WordKeys []string

Functions ¶

func Get ¶

func Get(key string) map[string][]string

Example¶

Code:

{
	// Get data
	data := Get("person")

	// Print the first name
	fmt.Println(data["prefix"])

	// Output:
	// [Mr. Mrs. Ms. Miss Dr.]
}

Output:

[Mr. Mrs. Ms. Miss Dr.]

func GetSubData ¶

func GetSubData(key, subkey string) []string

func List ¶

func List() map[string][]string

func Remove ¶

func Remove(key string)

func RemoveSub ¶

func RemoveSub(key, subkey string)

func Set ¶

func Set(key string, data map[string][]string)

Example¶

Code:

{
	// Add data
	Set("desserts", map[string][]string{
		"cake":      {"chocolate", "vanilla"},
		"pie":       {"apple", "pecan"},
		"ice cream": {"strawberry", "vanilla"},
	})
}

func SetSub ¶

func SetSub(key, subkey string, data []string)

Example¶

Code:

{
	// Add data
	SetSub("desserts", "cake", []string{"chocolate", "vanilla"})
}

Types ¶

type CreditCardCode ¶

type CreditCardCode struct {
	Name string
	Size uint
}

CreditCardCode contains code type and size

type CreditCardInfo ¶

type CreditCardInfo struct {
	Display  string
	Patterns []uint
	Gaps     []uint
	Lengths  []uint
	Code     CreditCardCode
}

CreditCardInfo contains credit card info

Source Files ¶

address.go animals.go beer.go book.go car.go celebrity.go colors.go company.go computer.go currency.go data.go datetime.go emoji.go errors.go files.go food.go hacker.go hipster.go html.go internet.go job.go languages.go log_level.go lorem.go minecraft.go movie.go payment.go person.go sentence.go word.go

Version: v6.24.0
Published: Oct 22, 2023
Platform: js/wasm
Imports: 1 packages
Last checked: 23 minutes ago –

Tools for package owners.

?	: This menu
/	: Search site
f	: Jump to identifier
g then g	: Go to top of page
g then b	: Go to end of page
G	: Go to end of page
g then i	: Go to index
g then e	: Go to examples

package data

Index ¶

Examples ¶

Variables ¶

Functions ¶

func Get ¶

func GetSubData ¶

func List ¶

func Remove ¶

func RemoveSub ¶

func Set ¶

func SetSub ¶

Types ¶

type CreditCardCode ¶

type CreditCardInfo ¶

Source Files ¶

Jump to identifier

Keyboard shortcuts