.datafaker.2.2.2.source-code.en-AU.yml Maven / Gradle / Ivy

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This library is a improved port of JavaFaker (as well as Ruby's stympy/faker gem and Perl's Data::Faker library) that generates fake data. It's useful when you're developing a new project and need some pretty data for showcase.
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# Australia formatted data types
# Using Top 200 Australian baby names of 2010
# 286 Surnames familiar to Australian population

en-AU:
  faker:
    name:
      first_name: [William, Jack, Oliver, Joshua, Thomas, Lachlan, Cooper, Noah, Ethan, Lucas, James, Samuel, Jacob, Liam, Alexander, Benjamin, Max, Isaac, Daniel, Riley, Ryan, Charlie, Tyler, Jake, Matthew, Xavier, Harry, Jayden, Nicholas, Harrison, Levi, Luke, Adam, Henry, Aiden, Dylan, Oscar, Michael, Jackson, Logan, Joseph, Blake, Nathan, Connor, Elijah, Nate, Archie, Bailey, Marcus, Cameron, Jordan, Zachary, Caleb, Hunter, Ashton, Toby, Aidan, Hayden, Mason, Hamish, Edward, Angus, Eli, Sebastian, Christian, Patrick, Andrew, Anthony, Luca, Kai, Beau, Alex, George, Callum, Finn, Zac, Mitchell, Jett, Jesse, Gabriel, Leo, Declan, Charles, Jasper, Jonathan, Aaron, Hugo, David, Christopher, Chase, Owen, Justin, Ali, Darcy, Lincoln, Cody, Phoenix, Sam, John, Joel, Isabella, Ruby, Chloe, Olivia, Charlotte, Mia, Lily, Emily, Ella, Sienna, Sophie, Amelia, Grace, Ava, Zoe, Emma, Sophia, Matilda, Hannah, Jessica, Lucy, Georgia, Sarah, Abigail, Zara, Eva, Scarlett, Jasmine, Chelsea, Lilly, Ivy, Isla, Evie, Isabelle, Maddison, Layla, Summer, Annabelle, Alexis, Elizabeth, Bella, Holly, Lara, Madison, Alyssa, Maya, Tahlia, Claire, Hayley, Imogen, Jade, Ellie, Sofia, Addison, Molly, Phoebe, Alice, Savannah, Gabriella, Kayla, Mikayla, Abbey, Eliza, Willow, Alexandra, Poppy, Samantha, Stella, Amy, Amelie, Anna, Piper, Gemma, Isabel, Victoria, Stephanie, Caitlin, Heidi, Paige, Rose, Amber, Audrey, Claudia, Taylor, Madeline, Angelina, Natalie, Charli, Lauren, Ashley, Violet, Mackenzie, Abby, Skye, Lillian, Alana, Lola, Leah, Eve, Kiara]
      last_name: [Smith, Jones, Williams, Brown, Wilson, Taylor, Johnson, White, Martin, Anderson, Thompson, Nguyen, Thomas, Walker, Harris, Lee, Ryan, Robinson, Kelly, King, Davis, Wright, Evans, Roberts, Green, Hall, Wood, Jackson, Clarke, Patel, Khan, Lewis, James, Phillips, Mason, Mitchell, Rose, Davies, Rodriguez, Cox, Alexander, Garden, Campbell, Johnston, Moore, Smyth, O'neill, Doherty, Stewart, Quinn, Murphy, Graham, Mclaughlin, Hamilton, Murray, Hughes, Robertson, Thomson, Scott, Macdonald, Reid, Clark, Ross, Young, Watson, Paterson, Morrison, Morgan, Griffiths, Edwards, Rees, Jenkins, Owen, Price, Moss, Richards, Abbott, Adams, Armstrong, Bahringer, Bailey, Barrows, Bartell, Bartoletti, Barton, Bauch, Baumbach, Bayer, Beahan, Beatty, Becker, Beier, Berge, Bergstrom, Bode, Bogan, Borer, Bosco, Botsford, Boyer, Boyle, Braun, Bruen, Carroll, Carter, Cartwright, Casper, Cassin, Champlin, Christiansen, Cole, Collier, Collins, Connelly, Conroy, Corkery, Cormier, Corwin, Cronin, Crooks, Cruickshank, Cummings, D'amore, Daniel, Dare, Daugherty, Dickens, Dickinson, Dietrich, Donnelly, Dooley, Douglas, Doyle, Durgan, Ebert, Emard, Emmerich, Erdman, Ernser, Fadel, Fahey, Farrell, Fay, Feeney, Feil, Ferry, Fisher, Flatley, Gibson, Gleason, Glover, Goldner, Goodwin, Grady, Grant, Greenfelder, Greenholt, Grimes, Gutmann, Hackett, Hahn, Haley, Hammes, Hand, Hane, Hansen, Harber, Hartmann, Harvey, Hayes, Heaney, Heathcote, Heller, Hermann, Hermiston, Hessel, Hettinger, Hickle, Hill, Hills, Hoppe, Howe, Howell, Hudson, Huel, Hyatt, Jacobi, Jacobs, Jacobson, Jerde, Johns, Keeling, Kemmer, Kessler, Kiehn, Kirlin, Klein, Koch, Koelpin, Kohler, Koss, Kovacek, Kreiger, Kris, Kuhlman, Kuhn, Kulas, Kunde, Kutch, Lakin, Lang, Langworth, Larkin, Larson, Leannon, Leffler, Little, Lockman, Lowe, Lynch, Mann, Marks, Marvin, Mayer, Mccullough, Mcdermott, Mckenzie, Miller, Mills, Monahan, Morissette, Mueller, Muller, Nader, Nicolas, Nolan, O'connell, O'conner, O'hara, O'keefe, Olson, O'reilly, Parisian, Parker, Quigley, Reilly, Reynolds, Rice, Ritchie, Rohan, Rolfson, Rowe, Russel, Rutherford, Sanford, Sauer, Schmidt, Schmitt, Schneider, Schroeder, Schultz, Shields, Smitham, Spencer, Stanton, Stark, Stokes, Swift, Tillman, Towne, Tremblay, Tromp, Turcotte, Turner, Walsh, Walter, Ward, Waters, Weber, Welch, West, Wilderman, Wilkinson, Williamson, Windler, Wolf]
      name_with_middle:
        - "#{first_name} #{last_name} #{last_name}"
    company:
      suffix: [Pty Ltd, and Sons, Corp, Group, Brothers, Partners]
    internet:
      domain_suffix: [com.au, com, net.au, net, org.au, org]
    address:
      secondary_address:
        - "Unit Ø##"
      state_abbr: [NSW, QLD, NT, SA, WA, TAS, ACT, VIC]
      state: [New South Wales, Queensland, Northern Territory, South Australia, Western Australia, Tasmania, Australian Capital Territory, Victoria]
      postcode: ['0###', '2###', '3###', '4###', '5###', '6###', '7###']
      building_number: ['####', '###', '##']
      street_suffix: [Avenue, Boulevard, Circle, Circuit, Court, Crescent, Crest, Drive, Estate Dr, Grove, Hill, Island, Junction, Knoll, Lane, Loop, Mall, Manor, Meadow, Mews, Parade, Parkway, Pass, Place, Plaza, Ridge, Road, Run, Square, Station St, Street, Summit, Terrace, Track, Trail, View Rd, Way]
      default_country: [Australia]
    phone_number:
      formats: # National format #iOS AUS phone formats
        - '04## ### ###'
        - '0Ø #### ####'
      formats_international:
        - '+61 4## ### ###'
        - '+61 # #### ####'
    cell_phone:
      formats: ['04##-###-###', '(0) 4##-###-###', '04## ### ###', '04########', '04## ## ## ##']
    team:
      sport: ['basketball', 'football', 'footy', 'netball', 'rugby']
    medical:
#      icd9_diagnosis_code:
#        - "\\d{3}\\.?\\d{0,2}"
#        - "E\\d{3}\\.?\\d?"
#        - "V\\d{2}\\.?\\d{0,2}"
      diagnosis_code:
        icd10: "[A-Z][0-9]{1,2}\\.[0-9]{1,2}"

    passport:
      valid: "[A-Z][0-9]{7}"