ffaker-2.8.1/0000755000004100000410000000000013233715167013020 5ustar www-datawww-dataffaker-2.8.1/Rakefile0000644000004100000410000000733213233715167014472 0ustar www-datawww-datarequire 'rubygems' require 'rake' require 'date' require 'test/unit/testsuite' module Test module Unit class TestSuite def run(result, &progress_block) yield(STARTED, name) run_startup(result) @tests.each do |test| test.run(result, &progress_block) break unless result.passed? end run_shutdown(result) yield(FINISHED, name) end end end end ############################################################################# # # Helper functions # ############################################################################# def name @name ||= Dir['*.gemspec'].first.split('.').first end def version line = File.read("lib/#{name}.rb")[/^\s*VERSION\s*=\s*.*/] line.match(/.*VERSION\s*=\s*['"](.*)['"]/)[1] end def date Date.today.to_s end def rubyforge_project name end def gemspec_file "#{name}.gemspec" end def gem_file "#{name}-#{version}.gem" end def replace_header(head, header_name) head.sub!(/(\.#{header_name}\s*= ').*'/) { "#{Regexp.last_match(1)}#{send(header_name)}'" } end ############################################################################# # # Standard tasks # ############################################################################# require 'rake/testtask' Rake::TestTask.new do |t| t.libs << 'test/' << 'lib/' t.test_files = FileList['test/test*.rb'] t.verbose = true end task default: :test ############################################################################# # # Custom tasks (add your own tasks here) # ############################################################################# begin require 'yard' YARD::Rake::YardocTask.new rescue LoadError task :yardoc do abort 'YARD is not available. In order to run yardoc, you must: sudo gem install yard' end end ############################################################################# # # Packaging tasks # ############################################################################# task release: :build do unless `git branch` =~ /^\* master$/ puts 'You must be on the master branch to release!' exit! end sh "git commit --allow-empty -a -m 'Release #{version}'" sh "git tag v#{version}" sh 'git push origin master' sh 'git push --tags' sh "gem push pkg/#{name}-#{version}.gem" end task build: %i[gemspec reference] do sh 'mkdir -p pkg' sh "gem build #{gemspec_file}" sh "mv #{gem_file} pkg" end task gemspec: :validate do # read spec file and split out manifest section spec = File.read(gemspec_file) head, manifest, tail = spec.split(" # = MANIFEST =\n") # replace name version and date replace_header(head, :name) replace_header(head, :version) replace_header(head, :date) # comment this out if your rubyforge_project has a different name replace_header(head, :rubyforge_project) # determine file list from git ls-files files = `git ls-files` .split("\n") .sort .reject { |file| file =~ /^\./ } .reject { |file| file =~ /^(rdoc|pkg)/ } .map { |file| " #{file}" } .join("\n") # piece file back together and write manifest = " s.files = %w[\n#{files}\n ]\n" spec = [head, manifest, tail].join(" # = MANIFEST =\n") File.open(gemspec_file, 'w') { |io| io.write(spec) } puts "Updated #{gemspec_file}" end task :validate do libfiles = Dir['lib/*'] - ["lib/#{name}.rb", "lib/#{name}"] unless libfiles.empty? puts "Directory `lib` should only contain a `#{name}.rb` file and `#{name}` dir." exit! end unless Dir['VERSION*'].empty? puts 'A `VERSION` file at root level violates Gem best practices.' exit! end end desc 'Creates REFERENCE.md' task :reference do system 'ruby ./scripts/reference.rb > REFERENCE.md' end ffaker-2.8.1/Gemfile0000644000004100000410000000004613233715167014313 0ustar www-datawww-datasource 'https://rubygems.org' gemspec ffaker-2.8.1/RANDOM.md0000644000004100000410000001145713233715167014332 0ustar www-datawww-data## Setting/Resetting the random seed ffaker maintains its own random number generator which allows the responses to be deterministic and repeatable given the correct seed. You can get the current seed with `FFaker::Random.seed`, set it with `FFaker::Random.seed=`, and reset it back to its initial state with `FFaker::Random.reset!`. You can also use `FFaker::Random.rand` to get a random number from the RNG. ```ruby require 'ffaker' > FFaker::Random.seed # => 296167445578296242020083756344880134311 > FFaker::Random.seed=12345 # => 12345 > FFaker::Random.seed # => 12345 > 5.times.map{ FFaker::Random.rand(0..9) } # => [2, 5, 1, 7, 4] > FFaker::Random.reset! > 5.times.map{ FFaker::Random.rand(0..9) } # => [2, 5, 1, 7, 4] ``` Calling `seed=` implicitly calls `reset!` so there is no need to call it separately after setting the seed. ### Using the same random seed as your tests If you are using Minitest or Rspec and run your tests in random order, ffaker can use their random seed to return the same data given the same seed. Note: ffaker can not use the random seed from Test::Unit because it [does not allow the random seed to be set by the user](https://github.com/test-unit/test-unit/blob/master/lib/test/unit/test-suite-creator.rb#L67-L69). #### Minitest Assuming you're already using ffaker in your tests, you will need add a "plugin" to make it use the same seed as Minitest. In your tests directory (usually named "test") make another directory named "minitest" and create a file in that directory named "ffaker_random_seed_plugin.rb" that contains: ```ruby # test/minitest/ffaker_random_seed_plugin.rb module Minitest def self.plugin_ffaker_random_seed_init(options) FFaker::Random.seed = options[:seed] end end ``` Next, you will need to add a `before_setup` method in every test file that uses ffaker and call `FFaker::Random.reset!` within it. Ideally this will be in your test case superclass. ```ruby # test_helper.rb or similar. class TestBase < Minitest::Test def before_setup FFaker::Random.reset! end end class TestSomethingUsingFFaker < TestBase def test_something_using_ffaker # use FFaker as normal end end ``` ffaker will now use the same random seed as Minitest, including seeds passed in using `--seed nnn` on the command line, and will return the same data every time that seed is used. #### Rspec Assuming you're already using ffaker in your specs, add the following to your `spec_helper.rb` or equivalent file: ```ruby # spec_helper.rb RSpec.configure do |config| config.before(:all) { FFaker::Random.seed=config.seed } config.before(:each) { FFaker::Random.reset! } end ``` If your helper already has an `RSpec.configure` block, simply put the two "config.before" lines in that block. ffaker will now use the same random seed as Rspec, including seeds passed in using `--seed nnn` on the command line, and will return the same data every time that seed is used. ### Generating random data in ffaker modules ffaker modules should use the included deterministic methods to get random data so that the same data can be returned with the correct random seed. All ffaker modules extend the ModuleUtils module which provides the necessary methods. They are: * Use `fetch_sample(array)` instead of `Array#sample` to get a random item from an array. * Use `fetch_sample(array, count: n)` instead of `Array#sample(n)` to get multiple random items from an array. * Use `shuffle(array)` instead of `Array#shuffle` to randomly reorder an array. * Calls to `rand` will automatically use the correct random-number generator, no change is required. For other uses, you can access the random number generator directly via `FFaker::Random`. Example: ```ruby array.shuffle!(random: FFaker::Random) ``` ### Testing repeatability of ffaker modules There are helper methods available to use in tests to ensure your module output is repeatable and deterministic. All existing module tests use them, and we would like all future modules to also use them. First, include the DeterministicHelper in your test class: ```ruby include DeterministicHelper ``` If your want to test methods that do not require arguments, the `assert_methods_are_deterministic` method will help you test many methods with one line of test. ```ruby # Example: This will test the methods :method_name, :other_method_name, and # :another_method_name on class FFaker::NewFFakerModule. assert_methods_are_deterministic( FFaker::NewFFakerModule, :method_name, :other_method_name, :another_method_name ) ``` For testing methods that require an argument, or to test more complicated behavior, you can use the `assert_deterministic` method within a test method. ```ruby def test_some_method assert_deterministic { FFaker::NewFFakerModule.some_method(:required_argument) } end ``` For more examples, please see the test cases for existing modules. ffaker-2.8.1/Changelog.md0000644000004100000410000002061413233715167015234 0ustar www-datawww-data## 2.8.1 - Updated password generation [@makketagg] ## 2.8.0 - Fixes `Uncaught exception: invalid byte sequence in US-ASCII` [@thilonel] - Add international numbers on PhoneNumberFR and test it [@nicolas-brousse] - Clean code based on PhoneNumberBR structure [@nicolas-brousse] - Drop support for ruby 1.9 [@thilonel] - Replace mass require with autoload [@thilonel] ## 2.7.0 - Add unique method [@AlexAvlonitis] - Add Time.day_of_week [@tvarley] - Add CompanyIT.partita_iva [@aaronsama] ## 2.6.0 - Add Polish names [@walerian777] - Add Polish addresses [@walerian777] - Add full_address to Brazilian addresses [@adimircolen] - Add Filesystem [@j0al] - Add Aminal [@ni3t] - Fix PhoneNumberAU mobile number [@spheric] ## 2.5.0 - Support Arabic names [@Moafak] - Add Japanese address [@kojino] - Add more Brazilian city [@jasonleonhard] - Now PhoneNumber#ime returns valid IMEIs [@metalelf0] ## 2.4.0 - Support Indonesia names, address, phone & gender [@brain64bit] - Support Russian lorem [@mechos3d] - Fix AddressAU#time_zone: will return AU time zone now [@tatey] ## 2.3.0 - Make deterministic / repeatedly random using seed [@xunker] - Fix DE and NL address modules [@dankimio] - Refactor HTMLIpsum module [@rocknruby] - Stricter exchange code in US phone number [@MQuy] - Add AWS module [@joshdvir] - Add hexcode to Color module [@thutterer] - Add CPF/CPFJ to Brazilian identification module [@thutterer] - Add MAC address to Internet module [@pawelma] - Add rgb, rgba, hsl, hsla to Color module [@dphurley] - Add html safe names to Name module [@dimroc] - Add mode education degrees to Education module [@dimroc] - Add datetime to Time module [@waldyr] - Add between to Time module [@brnrdog] - Add Airline module [@jakubm] - Add Sport module [@iamarmanjon] - Add Youtube module [@andyklimczak] - Add Tweet module [@tvarley] - Add Korean address module [@marocchino] - Add Greek name module [@falegk] - Add Greek address module [@falegk] - Add Brazilian name module [@Sephyros] - Add Vietnam job module [@vinhnglx] - Add Chinese company module [@robin] - Add Thai name module [@firedev] - Add Japanese lolem module [@44uk] - Add Book module [@max-si-m] - Add gender option to Brazilian name module [@IgorMarques] - Add Brazilian gender module [@IgorMarques] - Add gender option to English name module [@nav16] - Add Brazilian identification module [@IgorMarques] - Add Brazilian job module [@IgorMarques] - Add Cambodian name module [@Phanithism] ## 2.2.0 - fixes some bugs - generating Robohash images - many new improvements and enhancements like: - CheesyLingo - Music module - Brazilian phones - Improve NameJA - added AddressRU ## 2.1.0 - [#191] - add REFERENCE.md ([@rstacruz]) - [#193] - fix FFaker::Locale.language throwing errors ([@rstacruz], [#196]) - [#199] - FFaker::String.from_regexp: implement support for regexp ranges like `/[a-f]/` ([@marocchino], [#200]) - [#181] - fix FFaker::PhoneNumber.phone_number throwing invalid US phone numbers ([@rstacruz], [#195]) - [#181] - implement FFaker::PhoneNumber.area_code ([@rstacruz], [#195]) - [#203] - deprecate FFaker::ArrayUtils.random_pick in favor for Array#sample ([@marocchino]) - [#211] - add Korean identification support - [#212] - add IMEI support - [#213] - Fix max length support FFaker::Internet.password ([@anderscarling]) - many internal library and test suite refactorings [#181]: https://github.com/ffaker/ffaker/issues/181 [#191]: https://github.com/ffaker/ffaker/issues/191 [#193]: https://github.com/ffaker/ffaker/issues/193 [#195]: https://github.com/ffaker/ffaker/issues/195 [#196]: https://github.com/ffaker/ffaker/issues/196 [#199]: https://github.com/ffaker/ffaker/issues/199 [#200]: https://github.com/ffaker/ffaker/issues/200 [#203]: https://github.com/ffaker/ffaker/issues/203 [#211]: https://github.com/ffaker/ffaker/pull/211 [#212]: https://github.com/ffaker/ffaker/pull/212 [#213]: https://github.com/ffaker/ffaker/pull/213 [@marocchino]: https://github.com/marocchino [@rstacruz]: https://github.com/rstacruz [@anderscarling]: https://github.com/anderscarling ## 2.0.0 - switched faker to ffaker namespace, you should now be able to use faker and ffaker gem together. ## 1.32.1 - set required ruby version for gem ## 1.32.0 - add Korean lorem to API - add 100 canadian largest cities to API - add Cuban phone numbers to API - add currency code to API - internal code-style improvements ## 1.31.0 - add deprecation warning to ArrayUtils#rand method - changed all internal ArrayUtils#rand method calls to Array#sample - Korea API additions - fixes some broken tests ## 1.30.0 - dropped support for ruby 1.8.x - fixes some broken tests - improved Faker::Internet.slug method - added Faker::Gender(CN), Faker::Guid to API - added continental_state and continental_state_abbr to Faker::AddressUs API - added Faker::Internet.safe_email method to API - added max_length parameter to Faker::Internet.password - and some small API additions ... for more details check the git log ## 1.25.0 API additions and some fixes... check the git log! :) ## 1.24.0 API additions ## 1.23.0 API additions ## 1.22.1 Bugfixes and minor API additions. ## 1.22.1 Bugfixes ## 1.22.0 Maintenance release, lots of cleanups. New modules contributed. ## 1.21.0 NameFR Skill Unit UnitEnglish UnitMetric ## 1.20.0 JobFR LoremFR ## 1.19.0 More APIs ## 1.16.2 Small bug fix and updated docs. ## 1.16.1 Fixes for ruby 1.8.x ## 1.16.0 Many module additions from different contributors! ## 1.15.0 NameKR (https://github.com/ffaker/ffaker/pull/47) and PhoneNumbersSG (https://github.com/ffaker/ffaker/pull/46). ## 1.14.0 AddressSN (thanks PapePathe), and a bugfix on FFaker::Product.model (thanks finarfin). ## 1.13.0 Education bug fix, FFaker::Job (thanks Piotr Usewicz) ## 1.12.0 FFaker::AddressAU and FakkerAddressPhoneAU modules (thanks Ben Wiseley). ## 1.11.0 Extraction of AddressUK and AddressUS classes. (Thanks doctorbh). ## 1.10.1 FFaker::AddressCA (Thanks doctorbh, https://github.com/ffaker/ffaker/pull/27) ## 1.9.1 FFaker::NameSN, FFaker::PhoneNumberSN (Thanks SENE, https://github.com/ffaker/ffaker/pull/26) Added FFaker::NameJA (Thanks kichiro, https://github.com/ffaker/ffaker/pull/21) ## 1.8.1 Remove a warning. ## 1.8.0 FFaker::HTMLIpsum module inspired in http://html-ipsum.com/ (Thanks Chris Bloom, https://github.com/ffaker/ffaker/pull/18) ## 1.7.0 FFaker::LoremCN (Thanks Shane Weng, Shane Weng, https://github.com/swcool, https://github.com/ffaker/ffaker/pull/16/files) ## 1.6.0 FFaker::NameDE (thanks David Noelte, https://github.com/marvin, https://github.com/ffaker/ffaker/pull/17) Added FFaker::Internet#disposable_email (Thanks Port 80 Labs, https://github.com/port80labs, https://github.com/ffaker/ffaker/pull/15) ## 1.5.0 FFaker::NameRU (Thanks Vsevolod Romashov, https://github.com/7even, https://github.com/ffaker/ffaker/pull/14) ## 1.4.0 FFaker::Product and FFaker::Education (thanks Rico Sta. Cruz, https://github.com/ffaker/ffaker/pull/12 ) ## 1.3.0 FFaker::Lorem.word as a convenience method, instead of FFaker::Lorem.words(1).first. ## 1.2.0 New FFaker::NameCN module (contributions by qichunren) FFaker::NameCN.first_name # => 鑫洋 FFaker::NameCN.last_name # => 禹 FFaker::NameCN.name # => 俊伶漫 ## 1.1.0 Api additions (contributions by Robert Berry) FFaker::Internet.uri(protocol) FFaker::Internet.http_url FFaker::Internet.ip_v4_address ## 0.4.0 Api additions by Rafael Souza FFaker::Geolocation.lat # => 40.6609944585817 FFaker::Geolocation.lng # => -73.8454648940358 FFaker::Address.neighborhood # => "Renton West" ## 0.3.3 2010-01-14 * removed library file and directory "faker". now you only can load the gem using require 'ffaker' ## 0.3.2 2010-01-14 * Several Optimizations, renamed gem packege to ffaker. ## 0.3.1 2008-04-03 1 minor enhancement: * Added city to Address ## 0.3.0 2008-01-01 3 major enhancements: * Added Lorem to generate fake Latin * Added secondary_address to Address, and made inclusion of secondary address in street_address optional (false by default). * Added UK address methods [Caius Durling] ## 0.2.1 2007-12-05 1 major enhancement: * Dropped facets to avoid conflict with ActiveSupport 2 minor enhancements: * Changed the output of user_name to randomly separate with a . or _ * Added a few tests ## 0.1.0 2007-11-22 * Initial release ffaker-2.8.1/lib/0000755000004100000410000000000013233715167013566 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker.rb0000644000004100000410000001645513233715167015364 0ustar www-datawww-datamodule FFaker VERSION = '2.8.1'.freeze require 'ffaker/utils/array_utils' require 'ffaker/utils/module_utils' extend ModuleUtils BASE_LIB_PATH = File.expand_path('..', __FILE__) LETTERS = [*'a'..'z'].freeze HEX = %w[0 1 2 3 4 5 6 7 8 9 A B C D E F].freeze def self.hexify(*masks) fetch_sample(masks.flatten).gsub(/#/) { fetch_sample(HEX) } end def self.numerify(*masks) fetch_sample(masks.flatten).gsub(/#/) { rand(0..9).to_s } end def self.letterify(*masks) fetch_sample(masks.flatten).gsub(/\?/) { fetch_sample(LETTERS) } end def self.bothify(masks) letterify(numerify(masks)) end autoload :Address, 'ffaker/address' autoload :AddressAU, 'ffaker/address_au' autoload :AddressBR, 'ffaker/address_br' autoload :AddressCA, 'ffaker/address_ca' autoload :AddressCH, 'ffaker/address_ch' autoload :AddressCHDE, 'ffaker/address_ch_de' autoload :AddressCHFR, 'ffaker/address_ch_fr' autoload :AddressCHIT, 'ffaker/address_ch_it' autoload :AddressDA, 'ffaker/address_da' autoload :AddressDE, 'ffaker/address_de' autoload :AddressFI, 'ffaker/address_fi' autoload :AddressFR, 'ffaker/address_fr' autoload :AddressGR, 'ffaker/address_gr' autoload :AddressID, 'ffaker/address_id' autoload :AddressIN, 'ffaker/address_in' autoload :AddressJA, 'ffaker/address_ja' autoload :AddressKR, 'ffaker/address_kr' autoload :AddressMX, 'ffaker/address_mx' autoload :AddressNL, 'ffaker/address_nl' autoload :AddressPL, 'ffaker/address_pl' autoload :AddressRU, 'ffaker/address_ru' autoload :AddressSE, 'ffaker/address_se' autoload :AddressSN, 'ffaker/address_sn' autoload :AddressUA, 'ffaker/address_ua' autoload :AddressUK, 'ffaker/address_uk' autoload :AddressUS, 'ffaker/address_us' autoload :Airline, 'ffaker/airline' autoload :Animal, 'ffaker/animals' autoload :Avatar, 'ffaker/avatar' autoload :AWS, 'ffaker/aws' autoload :BaconIpsum, 'ffaker/bacon_ipsum' autoload :Book, 'ffaker/book' autoload :Boolean, 'ffaker/boolean' autoload :CheesyLingo, 'ffaker/cheesy_lingo' autoload :Color, 'ffaker/color' autoload :ColorUA, 'ffaker/color_ua' autoload :Company, 'ffaker/company' autoload :CompanyCN, 'ffaker/company_cn' autoload :CompanyIT, 'ffaker/company_it' autoload :CompanySE, 'ffaker/company_se' autoload :Conference, 'ffaker/conference' autoload :CoursesFR, 'ffaker/courses' autoload :Currency, 'ffaker/currency' autoload :DizzleIpsum, 'ffaker/dizzle_ipsum' autoload :Education, 'ffaker/education' autoload :Filesystem, 'ffaker/filesystem' autoload :Food, 'ffaker/food' autoload :Gender, 'ffaker/gender' autoload :GenderBR, 'ffaker/gender_br' autoload :GenderCN, 'ffaker/gender_cn' autoload :GenderID, 'ffaker/gender_id' autoload :GenderKR, 'ffaker/gender_kr' autoload :Geolocation, 'ffaker/geolocation' autoload :Guid, 'ffaker/guid' autoload :HealthcareIpsum, 'ffaker/healthcare_ipsum' autoload :HipsterIpsum, 'ffaker/hipster_ipsum' autoload :HTMLIpsum, 'ffaker/html_ipsum' autoload :Identification, 'ffaker/identification' autoload :IdentificationBR, 'ffaker/identification_br' autoload :IdentificationES, 'ffaker/identification_es' autoload :IdentificationESCL, 'ffaker/identification_es_cl' autoload :IdentificationESCO, 'ffaker/identification_es_co' autoload :IdentificationKr, 'ffaker/identification_kr' autoload :IdentificationMX, 'ffaker/identification_mx' autoload :Internet, 'ffaker/internet' autoload :InternetSE, 'ffaker/internet_se' autoload :Job, 'ffaker/job' autoload :JobBR, 'ffaker/job_br' autoload :JobCN, 'ffaker/job_cn' autoload :JobFR, 'ffaker/job_fr' autoload :JobJA, 'ffaker/job_ja' autoload :JobKR, 'ffaker/job_kr' autoload :JobVN, 'ffaker/job_vn' autoload :Locale, 'ffaker/locale' autoload :Lorem, 'ffaker/lorem' autoload :LoremAR, 'ffaker/lorem_ar' autoload :LoremCN, 'ffaker/lorem_cn' autoload :LoremFR, 'ffaker/lorem_fr' autoload :LoremJA, 'ffaker/lorem_ja' autoload :LoremKR, 'ffaker/lorem_kr' autoload :LoremRU, 'ffaker/lorem_ru' autoload :LoremUA, 'ffaker/lorem_ua' autoload :Movie, 'ffaker/movie' autoload :Music, 'ffaker/music' autoload :Name, 'ffaker/name' autoload :NameAR, 'ffaker/name_ar' autoload :NameBR, 'ffaker/name_br' autoload :NameCN, 'ffaker/name_cn' autoload :NameCS, 'ffaker/name_cs' autoload :NameDA, 'ffaker/name_da' autoload :NameDE, 'ffaker/name_de' autoload :NameFR, 'ffaker/name_fr' autoload :NameGA, 'ffaker/name_ga' autoload :NameGR, 'ffaker/name_gr' autoload :NameID, 'ffaker/name_id' autoload :NameIT, 'ffaker/name_it' autoload :NameJA, 'ffaker/name_ja' autoload :NameKH, 'ffaker/name_kh' autoload :NameKR, 'ffaker/name_kr' autoload :NameMX, 'ffaker/name_mx' autoload :NameNB, 'ffaker/name_nb' autoload :NameNL, 'ffaker/name_nl' autoload :NamePH, 'ffaker/name_ph' autoload :NamePL, 'ffaker/name_pl' autoload :NameRU, 'ffaker/name_ru' autoload :NameSE, 'ffaker/name_se' autoload :NameSN, 'ffaker/name_sn' autoload :NameTH, 'ffaker/name_th' autoload :NameTHEN, 'ffaker/name_th_en' autoload :NameUA, 'ffaker/name_ua' autoload :NameVN, 'ffaker/name_vn' autoload :NatoAlphabet, 'ffaker/nato_alphabet' autoload :PhoneNumber, 'ffaker/phone_number' autoload :PhoneNumberAU, 'ffaker/phone_number_au' autoload :PhoneNumberBR, 'ffaker/phone_number_br' autoload :PhoneNumberCH, 'ffaker/phone_number_ch' autoload :PhoneNumberCU, 'ffaker/phone_number_cu' autoload :PhoneNumberDA, 'ffaker/phone_number_da' autoload :PhoneNumberDE, 'ffaker/phone_number_de' autoload :PhoneNumberFR, 'ffaker/phone_number_fr' autoload :PhoneNumberID, 'ffaker/phone_number_id' autoload :PhoneNumberIT, 'ffaker/phone_number_it' autoload :PhoneNumberKR, 'ffaker/phone_number_kr' autoload :PhoneNumberMX, 'ffaker/phone_number_mx' autoload :PhoneNumberNL, 'ffaker/phone_number_nl' autoload :PhoneNumberSE, 'ffaker/phone_number_se' autoload :PhoneNumberSG, 'ffaker/phone_number_sg' autoload :PhoneNumberSN, 'ffaker/phone_number_sn' autoload :Product, 'ffaker/product' autoload :Skill, 'ffaker/skill' autoload :Sport, 'ffaker/sport' autoload :SSN, 'ffaker/ssn' autoload :SSNMX, 'ffaker/ssn_mx' autoload :SSNSE, 'ffaker/ssn_se' autoload :String, 'ffaker/string' autoload :Time, 'ffaker/time' autoload :Tweet, 'ffaker/tweet' autoload :Unit, 'ffaker/unit' autoload :UnitEnglish, 'ffaker/unit_english' autoload :UnitMetric, 'ffaker/unit_metric' autoload :Vehicle, 'ffaker/vehicle' autoload :Venue, 'ffaker/venue' autoload :Youtube, 'ffaker/youtube' # Random Number Generator (RNG) used with ModuleUtils#fetch, #shuffle, #rand # in order to provide deterministic repeatability. module Random # Returns the current RNG seed. def self.seed @random_seed ||= ::Random.new_seed end # Sets the RNG seed and creates a new internal RNG. def self.seed=(new_seed) @random_seed = new_seed reset! new_seed end # Reset the RNG back to its initial state. def self.reset! @rng = new_rng end # Returns a random number using an RNG with a known seed. def self.rand(max = nil) if max rng.rand(max) else rng.rand end end # Returns the current Random object. def self.rng @rng ||= new_rng end # Returns a new Random object instantiated with #seed. def self.new_rng ::Random.new(seed) end end end ffaker-2.8.1/lib/ffaker/0000755000004100000410000000000013233715167015024 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/job_ja.rb0000644000004100000410000000026413233715167016577 0ustar www-datawww-data# frozen_string_literal: true # encoding: utf-8 module FFaker module JobJA extend ModuleUtils extend self def title fetch_sample(JOB_NOUNS) end end end ffaker-2.8.1/lib/ffaker/data/0000755000004100000410000000000013233715167015735 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/food/0000755000004100000410000000000013233715167016664 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/food/meat0000644000004100000410000000064613233715167017543 0ustar www-datawww-dataBear Beef Beef heart Beef liver Beef tongue Bone soup from allowable meats Buffalo, Bison Calf liver Caribou Goat Ham Horse Kangaroo Lamb Marrow soup Moose Mutton Opossum Organ Meats Pork Pork, Bacon Rabbit Snake Squirrel Sweetbreads Tripe Turtle Veal Venison Chicken Chicken Liver Cornish Game Hen Duck Duck Liver Emu Gizzards Goose Goose Liver Grouse Guinea Hen Liver Organs Ostrich Partridge Pheasant Quail Squab Turkeyffaker-2.8.1/lib/ffaker/data/food/herb_spice0000644000004100000410000000130713233715167020713 0ustar www-datawww-dataAgar agar Allspice Anise Seed Apple Pie Spice Arrowroot Bar-B-Que Spice Basil Bay Leaf Cajun Spice Caraway Seed Cardamom Cayenne Pepper Celery Salt Chinese Five Spice Chipolte Pepper Chives Cilantro Cinnamon Cloves Coriander Cream Of Tartar Cumin Curry Dill Fajita Seasoning Fennel Fenugreek Garam Masala Garlic Ginger Grains F Paradise Gumbo File Herbs De Provence Hickory Salt Horseradish Lemon Pepper Mace Marjoram Mustard Seed Nutmeg Onion Oregano Oriental Stir Fry Spice Paprika Parsley Pepper Pickling Spice Pizza Seasoning Poppy Seed Poultry Seasoning Pumpkin Pie Spice Rosemary Safflower Saffron Sage Salad Herbs Salt Savory Summer Leaf Taco Seasoning Tarragon Thai Seasoning Thyme Turmeric Vanilla Beanffaker-2.8.1/lib/ffaker/data/food/fruit0000644000004100000410000000134413233715167017742 0ustar www-datawww-dataApple Apricot Avocado Banana Breadfruit Bilberry Blackberry Blackcurrant Blueberry Boysenberry Cantaloupe Currant Cherry Cherimoya Cloudberry Coconut Cranberry Cucumber Damson Date Dragonfruit Durian Eggplant Elderberry Feijoa Fig Goji berry Gooseberry Grape Raisin Grapefruit Guava Huckleberry Honeydew Jackfruit Jambul Jujube Kiwi fruit Kumquat Lemon Lime Loquat Lychee Mango Melon Cantaloupe Honeydew Watermelon Rock melon Miracle fruit Mulberry Nectarine Nut Olive Orange Clementine Mandarine Blood Orange Tangerine Papaya Passionfruit Peach Pepper Pear Williams pear Bartlett pear Persimmon Physalis Plum Pineapple Pomegranate Pomelo Purple Mangosteen Quince Raspberry Rambutan Redcurrant Salal Satsuma Star fruit Strawberry Ugli fruitffaker-2.8.1/lib/ffaker/data/food/vegetable0000644000004100000410000000416613233715167020554 0ustar www-datawww-dataAmaranth Arugula Beet Bok choy Borage Broccolini Brussels sprout Cabbage Catsear Celery Celtuce Chaya Chickweed Chicory Chinese mallow Chrysanthemum Collard greens Common Purslane Corn salad Cress Dandelion Dill Endive Fat hen Fiddlehead Fluted pumpkin Garden Rocket Golden samphire Good King Henry Greater Plantain Kai-lan Kale Komatsuna Kuka Lagos bologi Lamb's lettuce Lamb's Quarters Land cress Lettuce Lizard's tail Malabar Spinach Melokhia Miner's Lettuce Mizuna greens Mustard Napa cabbage New Zealand Spinach Orache Pak choy Paracress Pea Poke Radicchio Rapini Samphire Sculpit Stridolo Sea beet Sea kale Sierra Leone bologi Soko Sorrel Spinach Summer purslane Swiss chard Tatsoi Turnip Watercress Water spinach Wheatgrass Winter purslane Yarrow Yao Choy Avocado Bell pepper Bitter melon/Bitter gourd Chayote Cucumber Ivy Gourd Eggplant/Aubergine/Brinjal Luffa Olive fruit Pumpkin Squash Sweet pepper Tinda Tomatillo Tomato Vanilla West Indian gherkin Winter melon Zucchini/Courgette Artichoke Broccoli Broccolini Caper Cauliflower Courgette flowers Squash blossoms American groundnut Azuki bean Black-eyed pea Chickpea Common bean Drumstick Dolichos bean Fava bean Garbanzo Green bean Guar Horse gram Indian pea Lentil Lima Bean Moth bean Mung bean Okra Pea Peanut Pigeon pea Ricebean Runner bean Snap pea Snow pea Soybean Tarwi Tepary bean Urad bean Velvet bean Winged bean Yardlong bean Asparagus Cardoon Celeriac Celery Chives Elephant Garlic Florence fennel Garlic Garlic Chives Kohlrabi Kurrat Lemongrass Leek Lotus root Nopal Onion Pearl onion Potato onion Prussian asparagus Spring Onion/Scallion Shallot Tree onion Welsh onion Wild leek Ahipa Arracacha Bamboo shoot Beetroot Burdock Broadleaf arrowhead Camas Canna Carrot Cassava Chinese artichoke Daikon Earthnut pea Elephant Foot yam Ensete Galangal Ginger Hamburg parsley Horseradish Jerusalem artichoke Jícama Mashua Parsnip Pignut Potato Prairie turnip Radish Rutabaga Salsify Scorzonera Skirret Swede Sweet Potato Taro Ti Tigernut Turmeric Turnip Ulluco Wasabi Water caltrop Water chestnut Yacón Yam Aonori Arame Carola Dabberlocks or badderlocks Dulse or dillisk Laver Sea grape Sea lettuceffaker-2.8.1/lib/ffaker/data/address_br/0000755000004100000410000000000013233715167020045 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_br/city0000644000004100000410000000661113233715167020744 0ustar www-datawww-dataSão Paulo Rio de Janeiro Salvador Brasília Fortaleza Belo Horizonte Manaus Curitiba Recife Porto Alegre Belém Goiânia Guarulhos Campinas São Luís São Gonçalo Maceió Duque de Caxias Natal Teresina Campo Grande São Bernardo do Campo Nova Iguaçu João Pessoa Santo André Osasco Jaboatão dos Guararapes São José dos Campos Ribeirão Preto Uberlândia Contagem Sorocaba Aracaju Feira de Santana Cuiabá Joinville Juiz de Fora Londrina Aparecida de Goiânia Niterói Ananindeua Porto Velho Belford Roxo Campos dos Goytacazes Serra Caxias do Sul São João de Meriti Vila Velha Florianópolis Mauá Macapá São José do Rio Preto Santos Mogi das Cruzes Diadema Betim Campina Grande Jundiaí Olinda Carapicuíba Montes Claros Maringá Piracicaba Cariacica Bauru Anápolis Rio Branco São Vicente Vitória Caucaia Itaquaquecetuba Pelotas Canoas Caruaru Vitória da Conquista Franca Ponta Grossa Blumenau Petrolina Paulista Ribeirão das Neves Uberaba Boa Vista Guarujá Cascavel Petrópolis Taubaté Limeira Santarém Praia Grande São José dos Pinhais Mossoró Suzano Camaçari Governador Valadares Santa Maria Gravataí Taboão da Serra Foz do Iguaçu Várzea Grande Volta Redonda Juazeiro do Norte Sumaré Palmas Barueri Embu das Artes Ipatinga Marabá Imperatriz Viamão Novo Hamburgo São Carlos Magé Parnamirim Marília Arapiraca Sete Lagoas Colombo Divinópolis São Leopoldo Itaboraí São José Americana Macaé Jacareí Indaiatuba Araraquara Cotia Presidente Prudente Itabuna Maracanaú Itapevi Juazeiro Santa Luzia Hortolândia Rondonópolis Dourados Rio Grande Cachoeiro de Itapemirim Alvorada Criciúma Cabo Frio Chapecó Itajaí Sobral Rio Verde Rio Claro Cabo de Santo Agostinho Passo Fundo Araçatuba Santa Bárbara do Oeste Luziânia Ilhéus Lauro de Freitas Nova Friburgo Castanhal Angra dos Reis Ferraz de Vasconcelos Barra Mansa Águas Lindas de Goiás Parauapebas Guarapuava Nossa Senhora do Socorro São José de Ribamar Mesquita Ibirité Teresópolis Francisco Morato Araguaína Itu Itapecerica da Serra Timon Jequié Poços de Caldas Caxias Lages Nilópolis Linhares Pindamonhangaba Bragança Paulista Jaraguá do Sul São Caetano do Sul Itapetininga Teixeira de Freitas Alagoinhas Camaragibe Barreiras Palhoça Parnaíba Paranaguá Abaetetuba Valparaíso de Goiás Patos de Minas Mogi Guaçu Franco da Rocha Queimados Porto Seguro Pouso Alegre Jaú Teófilo Otoni Maricá Sapucaia do Sul Botucatu Garanhuns Atibaia Vitória de Santo Antão Barbacena Sabará Varginha Simões Filho Uruguaiana Araucária Toledo Ji-Paraná Apucarana Cametá Crato Araras Santa Rita Cubatão Santa Cruz do Sul Pinhais Cachoeirinha Sinop Resende Conselheiro Lafaiete Itapipoca Rio das Ostras Bagé Santana de Parnaíba Balneário Camboriú Campo Largo São Mateus Colatina Maranguape Codó Araruama Ribeirão Pires Bragança Catanduva Barretos Guaratinguetá Marituba Sertãozinho Paulo Afonso Brusque Valinhos Guarapari Jandira Birigui Itabira Votorantim Itaguaí Araguari Vespasiano Tatuí Várzea Paulista Trindade Paço do Lumiar Arapongas Salto Poá Passos Bento Gonçalves Eunápolis Almirante Tamandaré Barcarena Itatiba Caraguatatuba Três Lagoas Igarassu Parintins Santana Ourinhos Formosa Ubá Coronel Fabriciano São Lourenço da Mata Açailândia Corumbá São Félix do Xingu Umuarama Muriaé Altamira Patos Paragominas Tucuruí Novo Gama Bayeux Cambé Ituiutaba Bacabal Tubarão Ariquemes Erechim Piraquara Lagarto Assis Iguatu Portland ffaker-2.8.1/lib/ffaker/data/address_br/state_abbr0000644000004100000410000000012113233715167022070 0ustar www-datawww-dataAC AL AP AM BA CE DF ES GO MA MT MS MG PR PB PA PE PI RJ RN RS RO RR SC SE SP TO ffaker-2.8.1/lib/ffaker/data/address_br/state0000644000004100000410000000044313233715167021111 0ustar www-datawww-dataAcre Alagoas Amapá Amazonas Bahia Ceará Distrito Federal Espírito Santo Goiás Maranhão Mato Grosso Mato Grosso do Sul Minas Gerais Paraná Paraíba Pará Pernambuco Piauí Rio de Janeiro Rio Grande do Norte Rio Grande do Sul Rondonia Roraima Santa Catarina Sergipe São Paulo Tocantins ffaker-2.8.1/lib/ffaker/data/address_pl/0000755000004100000410000000000013233715167020055 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_pl/city0000644000004100000410000002251713233715167020757 0ustar www-datawww-dataAleksandrów Kujawski Aleksandrów Łódzki Alwernia Andrychów Annopol Augustów Babimost Baborów Baranów Sandomierski Barcin Barczewo Bardo Barlinek Bartoszyce Barwice Bełchatów Bełżyce Będzin Biała Biała Podlaska Białobrzegi Białogard Biały Bór Białystok Biecz Bielawa Bielsk Podlaski Bielsko-Biała Bieruń Bierutów Bieżuń Biłgoraj Biskupiec Bisztynek Blachownia Błaszki Błażowa Błonie Bobolice Bobowa Bochnia Bodzentyn Bogatynia Boguszów-Gorce Bojanowo Bolesławiec Bolków Borek Wielkopolski Borne Sulinowo Braniewo Brańsk Brodnica Brok Brusy Brwinów Brzeg Brzeg Dolny Brzesko Brzeszcze Brześć Kujawski Brzeziny Brzostek Brzozów Buk Busko-Zdrój Bychawa Byczyna Bydgoszcz Bystrzyca Kłodzka Bytom Bytów Cedynia Chełm Chełmek Chełmno Chełmża Chęciny Chmielnik Chocianów Chociwel Chocz Chodecz Chodzież Chojna Chojnice Chojnów Choroszcz Chorzele Chorzów Choszczno Chrzanów Ciechanowiec Ciechanów Ciechocinek Cieszanów Cieszyn Ciężkowice Cybinka Czaplinek Czarna Białostocka Czarna Woda Czarne Czarnków Czchów Czechowice-Dziedzice Czeladź Czempiń Czerniejewo Czersk Czerwieńsk Czerwionka-Leszczyny Częstochowa Człopa Człuchów Czyżew Ćmielów Daleszyce Darłowo Dąbie Dąbrowa Białostocka Dąbrowa Górnicza Dąbrowa Tarnowska Debrzno Dębica Dęblin Dębno Dobczyce Dobiegniew Dobra Dobre Miasto Dobrodzień Dobrzany Dobrzyca Dobrzyń nad Wisłą Dolsk Drawno Drawsko Pomorskie Drezdenko Drobin Drohiczyn Drzewica Dukla Duszniki-Zdrój Dynów Działdowo Działoszyce Działoszyn Dzierzgoń Dzierżoniów Dziwnów Elbląg Ełk Frampol Frombork Garwolin Gąbin Gdańsk Gdynia Giżycko Glinojeck Gliwice Głogów Głogów Małopolski Głogówek Głowno Głubczyce Głuchołazy Głuszyca Gniew Gniewkowo Gniezno Gogolin Golczewo Goleniów Golina Golub-Dobrzyń Gołańcz Gołdap Goniądz Gorlice Gorzów Śląski Gorzów Wielkopolski Gostynin Gostyń Gościno Gozdnica Góra Góra Kalwaria Górowo Iławeckie Górzno Grabów nad Prosną Grajewo Grodków Grodzisk Mazowiecki Grodzisk Wielkopolski Grójec Grudziądz Grybów Gryfice Gryfino Gryfów Śląski Gubin Hajnówka Halinów Hel Hrubieszów Iława Iłowa Iłża Imielin Inowrocław Ińsko Iwonicz-Zdrój Izbica Kujawska Jabłonowo Pomorskie Janikowo Janowiec Wielkopolski Janów Lubelski Jaraczewo Jarocin Jarosław Jasień Jasło Jastarnia Jastrowie Jastrzębie-Zdrój Jawor Jaworzno Jaworzyna Śląska Jedlicze Jedlina-Zdrój Jedwabne Jelcz-Laskowice Jelenia Góra Jeziorany Jędrzejów Jordanów Józefów Jutrosin Kalety Kalisz Kalisz Pomorski Kalwaria Zebrzydowska Kałuszyn Kamienna Góra Kamień Krajeński Kamień Pomorski Kamieńsk Kańczuga Karczew Kargowa Karlino Karpacz Kartuzy Katowice Kazimierz Dolny Kazimierza Wielka Kąty Wrocławskie Kcynia Kędzierzyn-Koźle Kępice Kępno Kętrzyn Kęty Kielce Kietrz Kisielice Kleczew Kleszczele Kluczbork Kłecko Kłobuck Kłodawa Kłodzko Knurów Knyszyn Kobylin Kobyłka Kock Kolbuszowa Kolno Kolonowskie Koluszki Kołaczyce Koło Kołobrzeg Koniecpol Konin Konstancin-Jeziorna Konstantynów Łódzki Końskie Koprzywnica Korfantów Koronowo Korsze Kosów Lacki Kostrzyn Kostrzyn nad Odrą Koszalin Kościan Kościerzyna Kowal Kowalewo Pomorskie Kowary Koziegłowy Kozienice Koźmin Wielkopolski Kożuchów Kórnik Krajenka Kraków Krapkowice Krasnobród Krasnystaw Kraśnik Krobia Krosno Krosno Odrzańskie Krośniewice Krotoszyn Kruszwica Krynica Morska Krynica-Zdrój Krynki Krzanowice Krzepice Krzeszowice Krzywiń Krzyż Wielkopolski Książ Wielkopolski Kudowa-Zdrój Kunów Kutno Kuźnia Raciborska Kwidzyn Lądek-Zdrój Legionowo Legnica Lesko Leszno Leśna Leśnica Lewin Brzeski Leżajsk Lębork Lędziny Libiąż Lidzbark Lidzbark Warmiński Limanowa Lipiany Lipno Lipsk Lipsko Lubaczów Lubań Lubartów Lubawa Lubawka Lubień Kujawski Lubin Lublin Lubliniec Lubniewice Lubomierz Luboń Lubraniec Lubsko Lubycza Królewska Lwówek Lwówek Śląski Łabiszyn Łańcut Łapy Łasin Łask Łaskarzew Łaszczów Łaziska Górne Łazy Łeba Łęczna Łęczyca Łęknica Łobez Łobżenica Łochów Łomianki Łomża Łosice Łowicz Łódź Łuków Maków Mazowiecki Maków Podhalański Malbork Małogoszcz Małomice Margonin Marki Maszewo Miasteczko Śląskie Miastko Michałowo Miechów Miejska Górka Mielec Mielno Mieroszów Mieszkowice Międzybórz Międzychód Międzylesie Międzyrzec Podlaski Międzyrzecz Międzyzdroje Mikołajki Mikołów Mikstat Milanówek Milicz Miłakowo Miłomłyn Miłosław Mińsk Mazowiecki Mirosławiec Mirsk Mława Młynary Modliborzyce Mogielnica Mogilno Mońki Morawica Morąg Mordy Moryń Mosina Mrągowo Mrocza Mrozy Mszana Dolna Mszczonów Murowana Goślina Muszyna Mysłowice Myszków Myszyniec Myślenice Myślibórz Nakło nad Notecią Nałęczów Namysłów Narol Nasielsk Nekla Nidzica Niemcza Niemodlin Niepołomice Nieszawa Nisko Nowa Dęba Nowa Ruda Nowa Sarzyna Nowa Sól Nowe Nowe Brzesko Nowe Miasteczko Nowe Miasto Lubawskie Nowe Miasto nad Pilicą Nowe Skalmierzyce Nowe Warpno Nowogard Nowogrodziec Nowogród Nowogród Bobrzański Nowy Dwór Gdański Nowy Dwór Mazowiecki Nowy Sącz Nowy Staw Nowy Targ Nowy Tomyśl Nowy Wiśnicz Nysa Oborniki Oborniki Śląskie Obrzycko Odolanów Ogrodzieniec Okonek Olecko Olesno Oleszyce Oleśnica Olkusz Olsztyn Olsztynek Olszyna Oława Opalenica Opatów Opatówek Opoczno Opole Opole Lubelskie Orneta Orzesze Orzysz Osieczna Osiek Ostrołęka Ostroróg Ostrowiec Świętokrzyski Ostróda Ostrów Lubelski Ostrów Mazowiecka Ostrów Wielkopolski Ostrzeszów Ośno Lubuskie Oświęcim Otmuchów Otwock Ozimek Ozorków Ożarów Ożarów Mazowiecki Pabianice Paczków Pajęczno Pakość Parczew Pasłęk Pasym Pelplin Pełczyce Piaseczno Piaski Piastów Piechowice Piekary Śląskie Pieniężno Pieńsk Pieszyce Pilawa Pilica Pilzno Piła Piława Górna Pińczów Pionki Piotrków Kujawski Piotrków Trybunalski Pisz Piwniczna-Zdrój Pleszew Płock Płońsk Płoty Pniewy Pobiedziska Poddębice Podkowa Leśna Pogorzela Polanica-Zdrój Polanów Police Polkowice Połaniec Połczyn-Zdrój Poniatowa Poniec Poręba Poznań Prabuty Praszka Prochowice Proszowice Prószków Pruchnik Prudnik Prusice Pruszcz Gdański Pruszków Przasnysz Przecław Przedbórz Przedecz Przemków Przemyśl Przeworsk Przysucha Pszczyna Pszów Puck Puławy Pułtusk Puszczykowo Pyrzyce Pyskowice Pyzdry Rabka-Zdrój Raciąż Racibórz Radków Radlin Radłów Radom Radomsko Radomyśl Wielki Radymno Radziejów Radzionków Radzymin Radzyń Chełmiński Radzyń Podlaski Rajgród Rakoniewice Raszków Rawa Mazowiecka Rawicz Recz Reda Rejowiec Rejowiec Fabryczny Resko Reszel Rogoźno Ropczyce Różan Ruciane-Nida Ruda Śląska Rudnik nad Sanem Rumia Rybnik Rychwał Rydułtowy Rydzyna Ryglice Ryki Rymanów Ryn Rypin Rzepin Rzeszów Rzgów Sandomierz Sanok Sejny Serock Sędziszów Sędziszów Małopolski Sępopol Sępólno Krajeńskie Sianów Siechnice Siedlce Siedliszcze Siemianowice Śląskie Siemiatycze Sieniawa Sieradz Sieraków Sierpc Siewierz Skalbmierz Skała Skarszewy Skaryszew Skarżysko-Kamienna Skawina Skępe Skierniewice Skoczów Skoki Skórcz Skwierzyna Sława Sławków Sławno Słomniki Słubice Słupca Słupsk Sobótka Sochaczew Sokołów Małopolski Sokołów Podlaski Sokółka Solec Kujawski Sompolno Sopot Sosnowiec Sośnicowice Stalowa Wola Starachowice Stargard Starogard Gdański Stary Sącz Staszów Stawiski Stawiszyn Stąporków Stepnica Stęszew Stoczek Łukowski Stopnica Stronie Śląskie Strumień Stryków Strzegom Strzelce Krajeńskie Strzelce Opolskie Strzelin Strzelno Strzyżów Sucha Beskidzka Suchań Suchedniów Suchowola Sulechów Sulejów Sulejówek Sulęcin Sulmierzyce Sułkowice Supraśl Suraż Susz Suwałki Swarzędz Syców Szadek Szamocin Szamotuły Szczawnica Szczawno-Zdrój Szczebrzeszyn Szczecin Szczecinek Szczekociny Szczucin Szczuczyn Szczyrk Szczytna Szczytno Szepietowo Szklarska Poręba Szlichtyngowa Szprotawa Sztum Szubin Szydłowiec Ścinawa Ślesin Śmigiel Śrem Środa Śląska Środa Wielkopolska Świątniki Górne Świdnica Świdnik Świdwin Świebodzice Świebodzin Świecie Świeradów-Zdrój Świerzawa Świętochłowice Świnoujście Tarczyn Tarnobrzeg Tarnogród Tarnowskie Góry Tarnów Tczew Terespol Tłuszcz Tolkmicko Tomaszów Lubelski Tomaszów Mazowiecki Toruń Torzym Toszek Trzcianka Trzciel Trzcińsko-Zdrój Trzebiatów Trzebinia Trzebnica Trzemeszno Tuchola Tuchów Tuczno Tuliszków Turek Tuszyn Twardogóra Tychowo Tychy Tyczyn Tykocin Tyszowce Ujazd Ujście Ulanów Uniejów Urzędów Ustka Ustroń Ustrzyki Dolne Wadowice Wałbrzych Wałcz Warka Warszawa Warta Wasilków Wąbrzeźno Wąchock Wągrowiec Wąsosz Wejherowo Węgliniec Węgorzewo Węgorzyno Węgrów Wiązów Wieleń Wielichowo Wieliczka Wieluń Wieruszów Więcbork Wilamowice Wisła Witkowo Witnica Wleń Władysławowo Włocławek Włodawa Włoszczowa Wodzisław Śląski Wojcieszów Wojkowice Wojnicz Wolbórz Wolbrom Wolin Wolsztyn Wołczyn Wołomin Wołów Woźniki Wrocław Wronki Września Wschowa Wyrzysk Wysoka Wysokie Mazowieckie Wyszków Wyszogród Wyśmierzyce Zabłudów Zabrze Zagórów Zagórz Zakliczyn Zaklików Zakopane Zakroczym Zalewo Zambrów Zamość Zator Zawadzkie Zawichost Zawidów Zawiercie Ząbki Ząbkowice Śląskie Zbąszynek Zbąszyń Zduny Zduńska Wola Zdzieszowice Zelów Zgierz Zgorzelec Zielona Góra Zielonka Ziębice Złocieniec Złoczew Złotoryja Złotów Złoty Stok Zwierzyniec Zwoleń Żabno Żagań Żarki Żarów Żary Żelechów Żerków Żmigród Żnin Żory Żukowo Żuromin Żychlin Żyrardów Żywiec ffaker-2.8.1/lib/ffaker/data/address_pl/voivodeship_abbr0000644000004100000410000000006013233715167023321 0ustar www-datawww-dataDS KP LU LB LD MA MZ OP PK PD PM SL SK WN WP ZP ffaker-2.8.1/lib/ffaker/data/address_pl/voivodeship_capital_city0000644000004100000410000000025013233715167025061 0ustar www-datawww-dataBiałystok Bydgoszcz Gdańsk Gorzów Wielkopolski Katowice Kielce Kraków Lublin Łódź Olsztyn Opole Poznań Rzeszów Szczecin Toruń Warszawa Wrocław Zielona Góra ffaker-2.8.1/lib/ffaker/data/address_pl/square0000644000004100000410000001343213233715167021303 0ustar www-datawww-data1 Maja 11 Pułku 15 Sierpnia 16 Dywizji 18 Stycznia 1831 Roku 1905 Roku 21 Stycznia 3 Maja 4 Czerwca 1989 Roku Adama Mickiewicza Akademicki Alfreda Nobla Aliantów Amfiteatru Andersa Anielewicza Anny Jagiellonki Armii Krajowej Armii Wojska Polskiego Armstronga Artylerii Polskiej Artystów Asnyka Axentowicza Baczyńskiego Bankowy Barnima I Basztowy Bałtycki Benedyktyński Bernardyński Białowąsa Biskupa Jana Chrapka Bogurodzicy Bohaterów Armii Krajowej Bohaterów Getta Bohaterów II Wojny Światowej Bohaterów Nysy Bohaterów Warszawy Bohaterów Westerplatte Bohaterów Września Bojowników Bolesława Chrobrego Bolesława Prusa Bolesława Wstydliwego Bolesława Śmiałego Bożego Ciała Bramy Wolińskiej Bramy Wrocławskiej Broniewskiego Browarniany Browarowy Brygady Pancernej Bzowy Centralny im. Ronalda Reagana Chorążego Starca Cichociemnych Cichy Cieszyński Cmentarny Cystersów Czechowicza Czerwca 1976 Roku Czesława Niemena Czochralskiego Czysty Defiladowy Dietla Dobrego Pasterza Dominikański Drezdeńskiego Pułku Czołgów Średnich Drzewny Drzymały Dworcowy Dworzysko Dwóch Miast Działowy Dziecka Dzierżonia Dzika Dół Dębowy Elizy Orzeszkowej Emila Młynarskiego Energetyka Esperanto Europejski Ewangelicki Fabryczny Farny Fatimski Faustyny Festiwalu Muzyki Rockowej Floriański Franciszkański Frankfurcki Franklina D. Roosevelta Fryderyka Chopina Gabriela Narutowicza Gałczyńskiego Gdański gen. bryg. dr. Stanisława Czepielika gen. Grota Roweckiego gen. Jana Nepomucena Umińskiego gen. Józefa Bema gen. Józefa Hallera gen. Pilota Stanisława Skalskiego gen. Stanisława Maczka gen. Władysława E. Sikorskiego Gimnazjalny Grotowskiego Grunwaldzki Gryfitów Grzybowy Gwiaździsty Górników Górnośląski Handlowy Harcerski Henryka Pobożnego Henryka Sienkiewicza Honorowych Dawców Krwi Hołdu Pruskiego Hutniczy Ignacego Paderewskiego im. Króla Kazimierza III Wielkiego im. Księcia Władysława im. Więźniów Oświęcimia Inwalidów Jacka Kuronia Jagielloński Jana Chrzciciela Jana Długosza Jana Henryka Dąbrowskiego Jana III Sobieskiego Jana Kasprowicza Jana Kazimierza Jana Kilińskiego Jana Matejki Jana Pawła II Jana z Głogowa Jaroszewicza Jaroszka Jedności Jedności Narodowej Jedności Słowiańskiej Joachima Lelewela Józefa Józefa Piłsudskiego kard. Stefana Wyszyńskiego Karola Brzostowskiego Karola Miarki Kasztanowy Kasztelański Kaszubski Katedralny Katyński Kazimierza Kazimierza Jagiellończyka Kazimierza Pułaskiego Kingi Klasztorny Kochanowskiego Kolei Warszawsko-Wiedeńskiej Kolejowy Kombatantów Kompanii Armii Krajowej Komuny Paryskiej Konfederacji Tyszowieckiej Konfederatów Barskich Konstytucji 3 Maja Korczaka Kosynierów Koszarowy Kotlarza Kołodziejskiego Kołłątaja Kościelny Krakowski Krasickiego Krasińskiego Króla Władysława Jagiełły ks. Jerzego Popiełuszki ks. prof. J. Tischnera ks. Ryszarda Rajskiego Kupiecki Kwiatowy Lecha Legionów Leśny Limanowskiego Lipowy Lotników Łagiewnicki Łukasińskiego Magistracki Majdańskiego Majora Adama Lazarowicz Majora Mieczysława Tarchalskiego Mariacki Mariański Mazurski Mechaników Medyków Miejski Mieszka I Mongolski Monte Cassino Młyński Najświętszej Maryi Panny Nauczycieli Tajnego Nauczania Niepodległości Niepodległości im. Romana Dmowskiego Nieznanego Żołnierza Niezłomnych Norwida Nowy NSZZ Solidarność Obrońców Pokoju Obrońców Warszawy Obrońców Westerplatte Obrońców Wybrzeża Oddziałów Młodzieży Powstańczej Odnowy Odrodzenia Ofiar Getta Ofiar Katastrofy Smoleńskiej Ofiar Katynia Ofiar Niemieckich Hitlerowskich Obozów Ofiar Stalinizmu Ogrodowy Oleandrów Opatrzności Bożej Orląt Lwowskich Orła Białego Ostrej Bramy Ottona Pamięci Narodowej Papieski Parkowy Partyzantów Patriotów Pałacowy Piastowski Piastów Piechoty Pielgrzymów Pionierów Piotra i Pawła Pisarzy Polskich Pluty Pocztowy Pokoju Politechniki Polonii Polskiego Czerwonego Krzyża Polskiej Organizacji Wojskowej Pomorski Poniatowskiego Powstań Narodowych Powstańców Styczniowych Powstańców Warszawskich Powstańców Wielkopolskich Powstańców Śląskich prof. Alfonsa Hoffmanna prof. Jana Szyrockiego prof. Stefana du Chateau Przyjaźni Przyjaźni Polsko-Węgierskiej Przymierza Pułkownika Berka Joselewicza Pułku Strzelców Konnych Raciborski Raczyńskiego Ratuszowy Reymonta Richarda Wagnera Rocha Rodła Romualda Traugutta Rotmistrza Witolda Pileckiego Rumiankowy Rybaków Rybny Rycerski Rynkowy Rzeźniczy Różany Róży Wiatrów Saperów Skargi Skłodowskiej-Curie Solidarności Solny Sportowy Sprawiedliwości Sprzymierzeńców Spółdzielczy Spółdzielców Srebrny Stanisława Moniuszki Staromiejski Staromłyński Staroszkolny Starozamkowy Staszica Stawowy Stefana Batorego Stefana Czarnieckiego Stefana Okrzei Straconych Straży Pożarnej Strzelecki Stuligrosza Sucharskiego Sybiraków Synagogi Szafranka Szarych Szeregów Szczepański Szkolny Szpitalny Słonecznikowy Słoneczny Słowackiego Słowiański Śląski Śniegockich Śreniawitów św. Ambrożego św. Anny św. Barbary św. Ducha św. Floriana św. Jakuba św. Jakuba Apostoła św. Jerzego św. Józefa św. Katarzyny św. Krzysztofa św. Krzyża św. Maksymiliana Kolbego św. Mikołaja św. Piotra św. Rozalii św. Stanisława św. Wojciecha Świętojański Tadeusza Czackiego Tadeusza Kotarbińskiego Towarzystwa Przyjaciół Dzieci Uniwersytecki Walecznych Warszawski Wawrzyńca Wałowy Westerplatte Wielkopolski Wileński Wilsona Wincentego Witosa Wiślany Wojska Polskiego Wolnica Wolności Wszystkich Świętych Wybickiego Wyspiańskiego Wyzwolenia Władysława Łokietka Xawerego Dunikowskiego Zakopiański Zamenhofa Zamkowy Zawadzkiego Zawiszy Czarnego Zbawiciela Zdrojowy Zgody Zjednoczenia Narodowego Zofii Nałkowskiej Związku Nauczycielstwa Polskiego Zwycięstwa Zygmunta Starego Żelazny Żeromskiego Żołnierza Żołnierzy Wyklętych Żwirki i Wigury ffaker-2.8.1/lib/ffaker/data/address_pl/street0000644000004100000410000001104413233715167021306 0ustar www-datawww-data1 Maja 11 Listopada 3 Maja Adama Mickiewicza Akademicka Aleksandra Fredry Andrzeja Struga Andyjska Anhellego Anieli Krzywoń Armii Krajowej Artura Grottgera Azotowa Babiego Lata Babiogórska Bagienna Bajeczna Bajkowa Bakaliowa Balladyny Balonowa Bankowa Barbakan Bartnicza Bartosza Głowackiego Barwna Basenowa Batalionów Chłopskich Bałkańska Bałtycka Baśniowa Beskidzka Białoskórnicza Bielska Bohaterów Monte Cassino Bolesława Chrobrego Bolesława Limanowskiego Bolesława Prusa Bracka Browarna Brzeska Bytomska Chemiczna Chełmińska Chlebowa Chmielna Chmurna Chobolańska Chocimska Chojnicka Chorwacka Chorzowska Chłodna Chłopska Ciasna Deszczowa Dobra Dobrej Nadziei Dobropole Dobrzyńska Dworcowa Dębogórska Dębowa Długa Emila Zegadłowicza Emilii Gierczak Emilii Plater Emilii Sczanieckiej Energetyków Eugeniusza Romera Europejska Fabryczna Farna Feniksa Figowa Filaretów Floriańska Franciszkańska Francuska Fryderyka Chopina Gabriela Narutowicza Garbarska Gdańska gen. Władysława Andersa Gipsowa Giżycka Glazurowa Gliniana Glinkowa Gliwicka Gnieźnieńska Gołębia Graniczna Grodzka Grunwaldzka Górnośląska Gęsia Głogowska Głowicka Głucha Głęboka Hallera Henryka Sienkiewicza Hetmańska Himalajska Hipolita Cegielskiego Hodowlana Holenderska Honorowych Krwiodawców Horeszków Hołdu Pruskiego Hoża Hrubieszowska Ignacego Paderewskiego Jacka Malczewskiego Jacka Soplicy Jagiellońska Jagny Jagodowa Jakuba Bojki Jana Henryka Dąbrowskiego Jana III Sobieskiego Jana Karola Chodkiewicza Jana Kasprowicza Jana Kazimierza Jana Kilińskiego Jana Pawła II Jana z Kolna Janusza Korczaka Jezuicka Juliana Tuwima Juliusza Słowackiego Józefa Bema Józefa Piłsudskiego Józefa Poniatowskiego Kaczeńców Kadetów Kadmowa Kalinowa Kaliska Kameliowa Kameralna Kamienna Kamieńska Karmelicka Karola Olszewskiego Karola Świerczewskiego Kartuska Kasjopei Kaskadowa Kasztanowa Kaszubska Katedralna Katowicka Kazimierska Kazimierza Pułaskiego Kijowska Kmicica Kmieca Kniewska Kobaltowa Kokosowa Koksowa Kolarska Kolejowa Kolibra Kolonistów Krakowska Krakowskie Przedmieście Krucza Krupnicza Królewska Królowej Jadwigi ks. Jerzego Popiełuszki Kłosowa Kłuszyńska Lechicka Legionów Lipowa Lubelska Lwowska Łódzka Łąkowa Mariacka Migdałowa Mikołaja Kopernika Mikołaja Reja Mikołowska Milczańska Miodowa Mirabelki Mirtowa Misia Wojtka Miła Miłosławska Mokradłowa Monte Cassino Monterska Morawska Morelowa Morenowa Morska Morwowa Mostowa Mołdawska Młyńska Niepodległości Niestachowska Niezapominajki Niklowa Niny Rydzewskiej Norberta Barlickiego Norweska Notecka Nowowiejska Obornicka Obozowa Ogrodowa Okopowa Oliwkowa Olkuska Olsztyńska Olszynki Grochowskiej Opałowa Opolska Opłotki Oraczy Orawska Ołowiana Oświęcimska Partyzantów Perlista Perseusza Perłowa Piaseczna Piaskowa Piekarska Piotra Skargi Piwna Piękna Pocztowa Pomorska Poznańska Przyszłości Przytorze Przytulna Pszczelna Pszenna Pucka Pustułki Puszczykowa Puławska Północna Racławicka Rtęciowa Rubież Rubinowa Ruciana Ruda Rudzika Rugiańska Rumiankowa Rumuńska Ruska Róży Wiatrów Senatorska Siemianowicka Smutna Sobótki Sokolników Sokoła Solidarności Solna Sopocka Sosnowa Sowia Sołtysia Sośnicka Stanisława Małachowskiego Stanisława Staszica Starowiejska Stefana Starzyńskiego Stefana Wyszyńskiego Stefana Żeromskiego Stoisława Stokrotki Stolarska Storczykowa Stołczyńska Stroma Strumykowa Strusia Strzelecka Szczecińska Szeroka Szewska Szpitalna Sójki Śląska św. Ambrożego św. Anny św. Barbary św. Ducha św. Floriana św. Jakuba św. Jakuba Apostoła św. Jerzego św. Józefa św. Katarzyny św. Krzysztofa św. Krzyża św. Maksymiliana Kolbego św. Mikołaja św. Piotra św. Rozalii św. Stanisława św. Wojciecha Świętojańska Świętokrzyska Tadeusza Kościuszki Targowa Toruńska Towarowa Tropikalna Truskawkowa Trygława Trzcinowa Tucholska Tulipanowa Turkusowa Turystyczna Uniwersytecka Waleriana Pawłowskiego Waleriana Łukasińskiego Warszawska Wawelska Wałowa Wiejska Wielokwiatowa Wieluńska Wierzbowa Wiewiórcza Wikingów Wiklinowa Wilcza Wincentego Janasa Wincentego Witosa Wita Stwosza Wojska Polskiego Wolności Wrocławska Władysława Reymonta Władysława Sikorskiego Zachodnia Zagonowa Zagrzebska Zagłoby Zajęcza Zakopiańska Zakładowa Zamiejska Zamieć Zamknięta Zamkowa Zamojska Zapadła Załogowa Zbożowa Zbyszka z Bogdańca Zbójnicka Zdrojowa Zdrowa Zenona Klemensiewicza Zgierska Zgodna Zgody Zgorzelecka Zwierzyniecka Zwycięstwa Złota Żeglarska Żubrów Żurawia Żurawinowa Żwirki i Wigury Żwirowa Żytnia Żywiczna Żywiecka Żyzna ffaker-2.8.1/lib/ffaker/data/address_pl/voivodeship0000644000004100000410000000032313233715167022335 0ustar www-datawww-datadolnośląskie kujawsko-pomorskie lubelskie lubuskie łódzkie małopolskie mazowieckie opolskie podkarpackie podlaskie pomorskie śląskie świętokrzyskie warmińsko-mazurskie wielkopolskie zachodniopomorskie ffaker-2.8.1/lib/ffaker/data/currency/0000755000004100000410000000000013233715167017567 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/currency/currency_code0000644000004100000410000000124313233715167022336 0ustar www-datawww-dataAED AFN ALL AMD ANG AOA ARS AUD AWG AZN BAM BBD BDT BGN BHD BIF BMD BND BOB BRL BSD BWP BYR BZD CAD CDF CHF CLP CNY COP CRC CUP CVE CZK DJF DKK DOP DZD EEK EGP ERN ETB EUR FJD FKP GBP GEL GHS GIP GMD GNF GTQ GYD HKD HNL HRK HTG HUF IDR ILS INR INR IQD IRR ISK JMD JOD JPY KES KGS KHR KMF KPW KRW KWD KYD KZT LAK LBP LKR LRD LTL LVL LYD MAD MDL MGA MKD MMK MNT MOP MRO MUR MVR MWK MXN MYR MZN NGN NIO NOK NPR NZD OMR PAB PEN PGK PHP PKR PLN PYG QAR RON RSD RUB RWF SAR SBD SCR SDG SEK SGD SHP SLL SOS SRD STD SVC SYP SZL THB TJS TMT TND TOP TRY TTD TWD TZS UAH UGX USD UYU UZS VEF VND VUV WST XAF XAG XAU XBA XBB XBC XBD XCD XDR XFU XOF XPD XPF XPT XTS YER ZAR ZAR ZAR ZMK ZWLffaker-2.8.1/lib/ffaker/data/currency/currency_name0000644000004100000410000000462113233715167022347 0ustar www-datawww-dataUAE Dirham Afghani Lek Armenian Dram Netherlands Antillian Guilder Kwanza Argentine Peso Australian Dollar Aruban Guilder Azerbaijanian Manat Convertible Marks Barbados Dollar Taka Bulgarian Lev Bahraini Dinar Burundi Franc Bermudian Dollar (customarily known as Bermuda Dollar) Brunei Dollar Boliviano Mvdol Brazilian Real Bahamian Dollar Pula Belarussian Ruble Belize Dollar Canadian Dollar Congolese Franc Swiss Franc Chilean Peso Unidades de fomento Yuan Renminbi Colombian Peso Unidad de Valor Real Costa Rican Colon Cuban Peso Peso Convertible Cape Verde Escudo Czech Koruna Djibouti Franc Danish Krone Dominican Peso Algerian Dinar Kroon Egyptian Pound Nakfa Ethiopian Birr Euro Fiji Dollar Falkland Islands Pound Pound Sterling Lari Cedi Gibraltar Pound Dalasi Guinea Franc Quetzal Guyana Dollar Hong Kong Dollar Lempira Croatian Kuna Gourde US Dollar Forint Rupiah New Israeli Sheqel Indian Rupee Indian Rupee Ngultrum Iraqi Dinar Iranian Rial Iceland Krona Jamaican Dollar Jordanian Dinar Yen Kenyan Shilling Som Riel Comoro Franc North Korean Won Won Kuwaiti Dinar Cayman Islands Dollar Tenge Kip Lebanese Pound Sri Lanka Rupee Liberian Dollar Lithuanian Litas Latvian Lats Libyan Dinar Moroccan Dirham Moldovan Leu Malagasy Ariary Denar Kyat Tugrik Pataca Ouguiya Mauritius Rupee Rufiyaa Kwacha Mexican Peso Mexican Unidad de Inversion (UDI) Malaysian Ringgit Metical Naira Cordoba Oro Norwegian Krone Nepalese Rupee New Zealand Dollar Rial Omani Balboa US Dollar Nuevo Sol Kina Philippine Peso Pakistan Rupee Zloty Guarani Qatari Rial New Leu Serbian Dinar Russian Ruble Rwanda Franc Saudi Riyal Solomon Islands Dollar Seychelles Rupee Sudanese Pound Swedish Krona Singapore Dollar Saint Helena Pound Leone Somali Shilling Surinam Dollar Dobra El Salvador Colon US Dollar Syrian Pound Lilangeni Baht Somoni Manat Tunisian Dinar Pa'anga Turkish Lira Trinidad and Tobago Dollar New Taiwan Dollar Tanzanian Shilling Hryvnia Uganda Shilling US Dollar Peso Uruguayo Uruguay Peso en Unidades Indexadas Uzbekistan Sum Bolivar Fuerte Dong Vatu Tala CFA Franc BEAC Silver Gold Bond Markets Units European Composite Unit (EURCO) European Monetary Unit (E.M.U.-6) European Unit of Account 9(E.U.A.-9) European Unit of Account 17(E.U.A.-17) East Caribbean Dollar SDR UIC-Franc CFA Franc BCEAO Palladium CFP Franc Platinum Codes specifically reserved for testing purposes Yemeni Rial Rand Rand Loti Rand Namibia Dollar Zambian Kwacha Zimbabwe Dollarffaker-2.8.1/lib/ffaker/data/name_kh/0000755000004100000410000000000013233715167017337 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/name_kh/last_names0000644000004100000410000000133313233715167021410 0ustar www-datawww-dataសំ ប៉ាញ ហុក ខៀវ ហ៊ុន សៅ លឹម អ៊ុយ វី វៃ វ៉ា ផាត ជ័យ សូរ សួង រែន ងែត កុក ផួង មិញ វ៉ន ហម ហែម ហឺម ហីុង បូ បឺម ប៉ែន ពីង ខួច ឆេង នី ឆួង ខាត់ ព្រាប ឆន សុខ ឪក យក់ យ៉ែម យឺម គីម គីម ពូវ កែប យង់ កល គង់ ឃួន ហេង លាង ហួយ ហុង មាន នូរ អុក ហួយ រុន តឹក ផេង ប៊ុន នុប ពិជ្រ រចនា សីុម ទូរ រៈ ភា គ្រុយ គ្រួច ផាន់ ffaker-2.8.1/lib/ffaker/data/name_kh/nick_names0000644000004100000410000000111313233715167021365 0ustar www-datawww-dataស្រីដាបែកស្លុយ ចាន់ហ្វឿង ហុងហ្វៀក រំដួល អូនអូក ចែរវិត អាប៉យ អាប្ផោក ស្រីញ្ញាញ ស្រីមៅ ខ្ចិប ចេក ស្រីណេ ស្រីនាង ចែហុង ចែហួយ ទីទី ខ្មឺប មីុមីុរៀល ខ្ញុង ឡួយ បែកកាវ អាសង្ហា អាបឺក អាធ្មិល ចរិយា ចម្បា ចម្បី ស្រីហ្វៀង អាផុងffaker-2.8.1/lib/ffaker/data/name_kh/first_names0000644000004100000410000000207013233715167021573 0ustar www-datawww-dataសុខ គឹម ថន ក្តឹប ប៉ែន ចាន់ សឹង សុខៈ រស្មី តុលា កុសល កំុកុំ មិថុនា រាត្រី គឹមសាន ផានិត្យ បញ្ញា សំណាង កកដា សែនជ័យ ពិទូ ប៊ុនហួត សុីយ៉ា ភារុន នីរៈ សីុម ចាន់ណា ប៊ុនធឿន កំណាញ់ លក្ខណា សំរេច សីុលៀង សារ៉ន ជាតា សារ៉ាយ គន្ធា ធីតា ចំរើន ភក្តី ពិជ្រ ឆៃហេង ចាន់រិទ្ធ ប្រាសាទ ឆាយ ជីជី សុផាត លីនដា ដានីតា ម៉េងលេង គីមមួយ រតនៈ សេរី វណ្ណារិទ្ធ បូផា រំដួល ម៉ាលីស ចាន់ថូ ប៉េងហូត កល្យាន សម្ផស្ស វិបុល សិរីបុត្រ សុខលី ផានិត្យffaker-2.8.1/lib/ffaker/data/aws/0000755000004100000410000000000013233715167016527 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/aws/ec2_reserved_instance_tenancy0000644000004100000410000000002613233715167024425 0ustar www-datawww-datadefault dedicated hostffaker-2.8.1/lib/ffaker/data/aws/ec2_reserved_offering_type0000644000004100000410000000013513233715167023741 0ustar www-datawww-dataHeavy Utilization Medium Utilization Light Utilization No Upfront Partial Upfront All Upfrontffaker-2.8.1/lib/ffaker/data/aws/ec2_reserved_product_description0000644000004100000410000000061013233715167025162 0ustar www-datawww-dataLinux/UNIX Linux/UNIX (Amazon VPC) SUSE Linux SUSE Linux (Amazon VPC) Red Hat Enterprise Linux Red Hat Enterprise Linux (Amazon VPC) Windows Windows (Amazon VPC) Windows with SQL Server Standard Windows with SQL Server Standard (Amazon VPC) Windows with SQL Server Web Windows with SQL Server Web (Amazon VPC) Windows with SQL Server Enterprise Windows with SQL Server Enterprise (Amazon VPC)ffaker-2.8.1/lib/ffaker/data/aws/ec2_instance_type0000644000004100000410000000115313233715167022050 0ustar www-datawww-datat1.micro t2.nano t2.micro t2.small t2.medium t2.large m1.small m1.medium m1.large m1.xlarge m3.medium m3.large m3.xlarge m3.2xlarge m4.large m4.xlarge m4.2xlarge m4.4xlarge m4.10xlarge m2.xlarge m2.2xlarge m2.4xlarge cr1.8xlarge r3.large r3.xlarge r3.2xlarge r3.4xlarge r3.8xlarge x1.4xlarge x1.8xlarge x1.16xlarge x1.32xlarge i2.xlarge i2.2xlarge i2.4xlarge i2.8xlarge hi1.4xlarge hs1.8xlarge c1.medium c1.xlarge c3.large c3.xlarge c3.2xlarge c3.4xlarge c3.8xlarge c4.large c4.xlarge c4.2xlarge c4.4xlarge c4.8xlarge cc1.4xlarge cc2.8xlarge g2.2xlarge g2.8xlarge cg1.4xlarge d2.xlarge d2.2xlarge d2.4xlarge d2.8xlarge ffaker-2.8.1/lib/ffaker/data/identification_mx/0000755000004100000410000000000013233715167021432 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/identification_mx/estados_curp0000644000004100000410000000014213233715167024045 0ustar www-datawww-dataAS BC BS CC CL CM CS CH DF DG GT GR HG JC MC MN MS NT NL OC PL QT QR SP SL SR TC TS TL VZ YN ZS NEffaker-2.8.1/lib/ffaker/data/philosophie/0000755000004100000410000000000013233715167020260 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/philosophie/lessons0000644000004100000410000000071613233715167021675 0ustar www-datawww-dataIntroduction à la philosophie L’interrogation métaphysique L’interrogation axiologique L’interrogation anthropologique La problématique de l’existence d’une philosophie africaine Nature et Culture Le travail Le langage Les normes La conscience, l’inconscient l’Etat la Liberté L’émergence de la pensée scientifique Les typologies de science Science et technique. la problématique du beau Fonctions et significations de l’œuvre d’art. ffaker-2.8.1/lib/ffaker/data/address_de/0000755000004100000410000000000013233715167020032 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_de/city0000644000004100000410000003761513233715167020741 0ustar www-datawww-dataAach Aachen Aalen Abenberg Abensberg Achern Achim Adelsheim Adenau Adorf Ahaus Ahlen Ahrensburg Aichach Aichtal Aken Albstadt Alfeld Allendorf Allstedt Alpirsbach Alsfeld Alsdorf Alsleben Altdorf Altena Altenau Altenberg Altenburg Altenkirchen Altensteig Altentreptow Altlandsberg Alzenau Alzey Amberg Amorbach Andernach Angermuende Anklam Annaberg-Buchholz Annaburg Annweiler Ansbach Apolda Arendsee Arneburg Arnis Arnsberg Arnstadt Arnstein Artern Arzberg Aschaffenburg Aschersleben Asperg Attendorn Aub Aue Auerbach Augsburg Augustusburg Aulendorf Auma Aurich Babenhausen Bacharach Backnang Baden-Baden Baesweiler Baiersdorf Balingen Ballenstedt Balve Bamberg Barby Bargteheide Barmstedt Baernau Barntrup Barsinghausen Barth Baruth Bassum Battenberg Baumholder Baunach Baunatal Bautzen Bayreuth Bebra Beckum Bedburg Beelitz Beerfelden Beeskow Beilngries Beilstein Belgern Belzig Bendorf Benneckenstein Bensheim Berching Berga Bergen Bergheim Bergisch Gladbach Bergkamen Bergneustadt Berka Berlin Bernburg Bernkastel-Kues Bernsdorf Bersenbrueck Besigheim Betzdorf Betzenstein Beverungen Bexbach Biedenkopf Bielefeld Biesenthal Bietigheim-Bissingen Billerbeck Birkenfeld Bischofswerda Bismark Bitburg Bitterfeld Blankenburg Blankenhain Blaubeuren Bleckede Bleicherode Blieskastel Blomberg Blumberg Bobingen Bocholt Bochum Bockenem Bodenwerder Bogen Boizenburg Bonn Bopfingen Boppard Borgentreich Borgholzhausen Borken Borken Borkum Borna Bornheim Bottrop Boxberg Brackenheim Brake Brakel Bramsche Brand-Erbisdorf Brandis Braubach Braunfels Braunlage Braeunlingen Braunsbedra Braunschweig Breckerfeld Bredstedt Brehna Bremen Bremerhaven Bretten Breuberg Brilon Brotterode Bruchsal Brueck Brueel Bruehl Brunsbuettel Bruessow Buchen Buchloe Bueckeburg Buckow Buedelsdorf Buedingen Buehl Buende Bueren Burg Burgau Burgbernheim Burgdorf Buergel Burghausen Burgkunstadt Burglengenfeld Burgstaedt Burgwedel Burladingen Burscheid Buerstadt Buttelstedt Buttstaedt Butzbach Buetzow Buxtehude Calau Calbe Calw Camburg Castrop-Rauxel Celle Cham Chemnitz Clausthal-Zellerfeld Clingen Cloppenburg Coburg Cochem Coesfeld Colditz Coswig Coswig Cottbus Crailsheim Creglingen Creuzburg Crimmitschau Crivitz Cuxhaven Dachau Dahlen Dahn Damme Dannenberg Dargun Darmstadt Dassel Dassow Datteln Daun Deggendorf Deidesheim Delbrueck Delitzsch Delmenhorst Demmin Derenburg Dessau Detmold Dettelbach Dieburg Diemelstadt Diepholz Dierdorf Dietenheim Dietfurt Dietzenbach Diez Dillenburg Dillingen Dingolfing Dinkelsbuehl Dinklage Dinslaken Dippoldiswalde Dissen Ditzingen Doberlug-Kirchhain Dohna Dommitzsch Donaueschingen Donzdorf Dorfen Dormagen Dornhan Dornstetten Dorsten Dortmund Dransfeld Drebkau Dreieich Drensteinfurt Dresden Drolshagen Duderstadt Duisburg Duelmen Dueren Duesseldorf Ebeleben Eberbach Ebermannstadt Ebern Ebersbach Ebersberg Eberswalde Eckartsberga Eckernfoerde Edenkoben Egeln Eggenfelden Eggesin Ehingen Ehrenfriedersdorf Eibelstadt Eibenstock Eichstaett Eilenburg Einbeck Eisenach Eisenberg Eisenberg Eisenhuettenstadt Eisfeld Eisleben Eislingen Elbingerode Ellingen Ellrich Ellwangen Elmshorn Elsfleth Elsterberg Elsterwerda Elstra Elterlein Eltmann Eltville Elzach Elze Emden Emmendingen Emmerich Emsdetten Endingen Engen Enger Ennepetal Ennigerloh Eppelheim Eppingen Eppstein Erbach Erbach Erbendorf Erding Erftstadt Erfurt Erkelenz Erkner Erkrath Erlangen Erlenbach Erwitte Eschborn Eschenbach Eschershausen Eschwege Eschweiler Esens Espelkamp Essen Esslingen Ettenheim Ettlingen Euskirchen Eutin Falkenberg Falkensee Falkenstein Fehmarn Fellbach Felsberg Feuchtwangen Filderstadt Finsterwalde Fladungen Flensburg Forchheim Forchtenberg Forst Frankenau Frankenberg Frankenberg Frankenthal Frankfurt Franzburg Frauenstein Frechen Freiberg Freilassing Freinsheim Freising Freital Freren Freudenberg Freudenberg Freudenstadt Freyburg Freystadt Freyung Friedberg Friedberg Friedland Friedland Friedrichroda Friedrichsdorf Friedrichshafen Friedrichstadt Friedrichsthal Friesack Friesoythe Fritzlar Frohburg Fulda Gadebusch Gaggenau Gaildorf Gammertingen Garbsen Gardelegen Garding Gartz Gau-Algesheim Gebesee Gedern Geesthacht Gefell Gefrees Gehrden Gehren Geilenkirchen Geisa Geiselhoering Geisenfeld Geisenheim Geising Geisingen Geislingen Geithain Geldern Gelnhausen Gelsenkirchen Gemuenden Gengenbach Genthin Georgsmarienhuette Gera Gerabronn Gerbstedt Geretsried Geringswalde Gerlingen Germering Germersheim Gernrode Gernsbach Gernsheim Gerolstein Gerolzhofen Gersfeld Gersthofen Gescher Geseke Gevelsberg Geyer Gifhorn Gladbeck Gladenbach Glashuette Glauchau Glinde Gluecksburg Glueckstadt Gnoien Goch Goldberg Goldkronach Gommern Goeppingen Goerlitz Goslar Gotha Goettingen Grabow Grafenau Graefenberg Graefenhainichen Graefenthal Grafenwoehr Gransee Grebenau Grebenstein Greding Greifswald Greiz Greven Grevenbroich Grevesmuehlen Griesheim Grimma Grimmen Groebzig Groeditz Groitzsch Gronau Gronau Groeningen Gruenberg Gruenhain-Beierfeld Gruensfeld Gruenstadt Guben Gudensberg Gueglingen Gummersbach Gundelsheim Guentersberge Guenzburg Gunzenhausen Guesten Guestrow Guetersloh Guetzkow Haan Hachenburg Hadamar Hadmersleben Hagen Hagenbach Hagenow Haiger Haigerloch Hainichen Haiterbach Halberstadt Haldensleben Halle Halle Hallenberg Hallstadt Halver Hamburg Hameln Hamm Hammelburg Hamminkeln Hanau Hannover Harburg Hardegsen Haren Harsewinkel Hartenstein Hartha Harzgerode Haseluenne Hasselfelde Hattingen Hatzfeld Hausach Hauzenberg Havelberg Havelsee Hayingen Hechingen Hecklingen Heide Heideck Heidelberg Heidenau Heilbronn Heiligenhafen Heiligenhaus Heilsbronn Heimbach Heimsheim Heinsberg Heitersheim Heldrungen Helmbrechts Helmstedt Hemau Hemer Hemmingen Hemmoor Hemsbach Hennef Hennigsdorf Heppenheim Herbolzheim Herborn Herbrechtingen Herbstein Herdecke Herdorf Herford Heringen Hermeskeil Hermsdorf Herne Herrenberg Herrieden Herrnhut Hersbruck Herten Herzberg Herzogenaurach Herzogenrath Hettingen Hettstedt Heubach Heusenstamm Hilchenbach Hildburghausen Hilden Hildesheim Hillesheim Hilpoltstein Hirschau Hirschberg Hirschhorn Hitzacker Hockenheim Hof Hofgeismar Hohenleuben Hohenmoelsen Hohnstein Hoehr-Grenzhausen Hollfeld Holzgerlingen Holzminden Homberg Homberg Homburg Hornbach Hornberg Hornburg Hoerstel Horstmar Hoexter Hoya Hoyerswerda Hoym Hueckelhoven Hueckeswagen Huefingen Huenfeld Hungen Huerth Husum Ibbenbueren Ichenhausen Idar-Oberstein Idstein Illertissen Ilmenau Ilsenburg Ilshofen Immenhausen Ingelfingen Ingolstadt Iphofen Iserlohn Isselburg Itzehoe Jarmen Jena Jerichow Jessen Jever Joachimsthal Johanngeorgenstadt Joehstadt Juelich Jueterbog Kaarst Kahla Kaisersesch Kaiserslautern Kalbe Kalkar Kaltenkirchen Kaltennordheim Kamen Kamenz Kamp-Lintfort Kandel Kandern Kappeln Karben Karlsruhe Karlstadt Kassel Kastellaun Katzenelnbogen Kaub Kaufbeuren Kehl Kelbra Kelheim Kelkheim Kellinghusen Kelsterbach Kemberg Kemnath Kempen Kempten Kenzingen Kerpen Ketzin Kevelaer Kiel Kierspe Kindelbrueck Kirchberg Kirchberg Kirchen Kirchenlamitz Kirchhain Kirchheimbolanden Kirn Kirtorf Kitzingen Kitzscher Kleve Knittlingen Koblenz Kohren-Sahlis Kolbermoor Konstanz Konz Korbach Korntal-Muenchingen Kornwestheim Korschenbroich Kraichtal Kranichfeld Krautheim Krefeld Kremmen Krempe Kreuztal Kronach Kroppenstedt Krumbach Kuehlungsborn Kulmbach Kuelsheim Kuenzelsau Kupferberg Kuppenheim Kusel Kyllburg Kyritz Laage Laatzen Ladenburg Lage Lahnstein Laichingen Lambrecht Lampertheim Landsberg Landshut Landstuhl Langelsheim Langen Langen Langenau Langenburg Langenfeld Langenhagen Langenselbold Langenzenn Langewiesen Lassan Laubach Lauchhammer Lauchheim Lauda-Koenigshofen Laufen Laufenburg Lauingen Laupheim Lauscha Lauta Lauter Lauterbach Lauterecken Lauterstein Lebach Lebus Leer Lehesten Lehrte Leichlingen Leimen Leinefelde-Worbis Leinfelden-Echterdingen Leipheim Leipzig Leisnig Lemgo Lengefeld Lengenfeld Lengerich Lennestadt Lenzen Leonberg Leun Leuna Leutenberg Leutershausen Leverkusen Lich Lichtenau Lichtenberg Lichtenfels Lichtenstein Liebenau Liebenwalde Lieberose Liebstadt Lindau Lindau Linden Lindenfels Lindow Lingen Linnich Lippstadt Loebau Loebejuen Loburg Lohmar Lohne Loehne Loitz Lollar Lommatzsch Loeningen Lorch Lorch Loerrach Lorsch Loewenstein Luebbecke Luebben Luebeck Luebtheen Luebz Luechow Lucka Luckau Luckenwalde Luedenscheid Luedinghausen Ludwigsburg Ludwigsfelde Ludwigslust Ludwigsstadt Luegde Lueneburg Luenen Lunzenau Luetjenburg Luetzen Lychen Magdala Magdeburg Mahlberg Mainbernheim Mainburg Maintal Mainz Malchin Malchow Mannheim Manderscheid Mansfeld Marburg Marienberg Marienmuenster Markdorf Markgroeningen Markkleeberg Markneukirchen Markranstaedt Marktbreit Marktheidenfeld Marktleuthen Marktoberdorf Marktredwitz Marktsteft Marl Marlow Marne Marsberg Maulbronn Maxhuette-Haidhof Mayen Mechernich Meckenheim Medebach Meerane Meerbusch Meersburg Meinerzhagen Meiningen Meisenheim Meldorf Melle Mellrichstadt Melsungen Memmingen Menden Mendig Mengen Meppen Merkendorf Merseburg Merzig Meschede Mettmann Metzingen Meuselwitz Meyenburg Michelstadt Miesbach Miltenberg Mindelheim Minden Mirow Mittenwalde Mitterteich Mittweida Moers Monheim Monschau Montabaur Moerfelden-Walldorf Moringen Mosbach Moessingen Muecheln Muegeln Muehltroff Muelheim-Kaerlich Muellheim Muellrose Muenchberg Muencheberg Muenchen Muenchenbernsdorf Munderkingen Muennerstadt Muensingen Munster Muenster Muenstermaifeld Muenzenberg Murrhardt Mutzschen Mylau Nabburg Nagold Naila Nassau Nastaetten Nauen Naumburg Naumburg Naunhof Nebra Neckarbischofsheim Neckargemuend Neckarsteinach Neckarsulm Nerchau Neresheim Netphen Nettetal Netzschkau Neubrandenburg Neubukow Neubulach Neudenau Neuenbuerg Neuenhaus Neuenrade Neuenstein Neuerburg Neuffen Neugersdorf Neu-Isenburg Neukalen Neukirchen Neukirchen-Vluyn Neukloster Neumark Neunkirchen Neuruppin Neusalza-Spremberg Neuss Neustadt Neustadt-Glewe Neustrelitz Neutraubling Neu-Ulm Neuwied Nidda Niddatal Nidderau Nideggen Niebuell Niedenstein Niederkassel Niedernhall Niederstetten Niederstotzingen Nieheim Niemegk Nienburg Nienburg Niesky Nittenau Norden Nordenham Norderney Norderstedt Nordhausen Nordhorn Noerdlingen Northeim Nortorf Nossen Nuernberg Nuertingen Oberasbach Oberhausen Oberhof Oberkirch Oberkochen Oberlungwitz Obermoschel Obernkirchen Ober-Ramstadt Oberriexingen Obertshausen Oberursel Oberviechtach Oberwesel Oberwiesenthal Ochsenfurt Ochsenhausen Ochtrup Oderberg Oebisfelde Oederan Oelde Oelsnitz Oer-Erkenschwick Oerlinghausen Oestrich-Winkel Offenburg Ohrdruf Oehringen Olbernhau Oldenburg Olfen Olpe Olsberg Oppenau Oppenheim Oranienbaum Oranienburg Orlamuende Ornbau Ortenberg Ortrand Oschatz Oschersleben Osnabrueck Osterburg Osterburken Osterfeld Osterhofen Osterholz-Scharmbeck Osterwieck Ostfildern Osthofen Oestringen Ostritz Otterberg Otterndorf Ottweiler Overath Owen Paderborn Papenburg Pappenheim Parchim Parsberg Pasewalk Passau Pattensen Pegau Pegnitz Peine Peitz Penig Penkun Penzberg Penzlin Perleberg Petershagen Pfarrkirchen Pforzheim Pfreimd Pfullendorf Pfullingen Pfungstadt Philippsburg Pinneberg Pirmasens Pirna Plattling Plaue Plauen Plettenberg Pleystein Plochingen Ploen Pocking Pohlheim Polch Potsdam Pottenstein Preetz Premnitz Prenzlau Pressath Prettin Pretzsch Prichsenstadt Pritzwalk Pruem Pulheim Pulsnitz Putbus Putlitz Puettlingen Quakenbrueck Quedlinburg Querfurt Quickborn Rabenau Radeberg Radebeul Radeburg Radegast Radevormwald Raguhn Rahden Rain Ramstein-Miesenbach Ranis Ransbach-Baumbach Rastatt Rastenberg Rathenow Ratingen Ratzeburg Rauenberg Raunheim Rauschenberg Ravensburg Ravenstein Recklinghausen Rees Regen Regensburg Regis-Breitingen Rehau Rehburg-Loccum Rehna Reichelsheim Reinbek Reinfeld Reinheim Remagen Remda-Teichel Remscheid Renchen Rendsburg Rennerod Renningen Rerik Rethem Reutlingen Rheda-Wiedenbrueck Rhede Rheinau Rheinbach Rheinberg Rheine Rheinfelden Rheinsberg Rheinstetten Rhens Rhinow Ribnitz-Damgarten Richtenberg Riedenburg Riedlingen Rieneck Riesa Rietberg Rinteln Rochlitz Rockenhausen Rodalben Rodenberg Roedental Roedermark Rodewisch Rodgau Roding Roemhild Romrod Ronneburg Ronnenberg Rosenfeld Rosenheim Rosenthal Rostock Rotenburg Roth Roetha Rothenfels Roettingen Rottweil Roetz Rudolstadt Ruhla Ruhland Runkel Ruesselsheim Ruethen Saalburg-Ebersdorf Saalfeld Saarburg Saarlouis Sachsenhagen Sachsenheim Salzgitter Salzkotten Salzwedel Sandau Sandersleben Sangerhausen Sarstedt Sassenberg Sassnitz Sayda Schafstaedt Schalkau Schauenstein Scheer Scheibenberg Scheinfeld Schelklingen Schenefeld Schieder-Schwalenberg Schifferstadt Schildau Schillingsfuerst Schiltach Schirgiswalde Schkeuditz Schkoelen Schleiden Schleiz Schleswig Schlettau Schleusingen Schlieben Schlitz Schlotheim Schluechtern Schluesselfeld Schmalkalden Schmallenberg Schmoelln Schnackenburg Schnaittenbach Schneeberg Schneverdingen Schongau Schoeningen Schoensee Schoenwald Schopfheim Schoeppenstedt Schorndorf Schortens Schotten Schramberg Schraplau Schriesheim Schrobenhausen Schrozberg Schuettorf Schwaan Schwabach Schwabmuenchen Schwaigern Schwalbach Schwalmstadt Schwandorf Schwanebeck Schwarzenbek Schwarzenborn Schwarzheide Schweich Schweinfurt Schwelm Schwerin Schwerte Schwetzingen Sebnitz Seehausen Seehausen Seelow Seelze Seesen Sehnde Seifhennersdorf Selb Selbitz Seligenstadt Selm Selters Senden Sendenhorst Senftenberg Siegburg Siegen Sigmaringen Simbach Sindelfingen Singen Sinsheim Sinzig Soest Solingen Solms Soltau Soemmerda Sondershausen Sonneberg Sonnewalde Sonthofen Sontra Spaichingen Spalt Spangenberg Spenge Speyer Spremberg Springe Sprockhoevel Stade Stadtallendorf Stadthagen Stadtilm Stadtlengsfeld Stadtlohn Stadtoldendorf Stadtprozelten Stadtroda Stadtsteinach Starnberg Staufenberg Stavenhagen Stein Steinach Steinbach Steinfurt Steinheim Stendal Sternberg Stockach Stolberg Stolberg Stolpen Storkow Straelen Stralsund Strasburg Straubing Strausberg Strehla Stromberg Stutensee Stuttgart Suhl Sulingen Sulzburg Syke Tann Tanna Tauberbischofsheim Taucha Taunusstein Tecklenburg Tegernsee Telgte Teltow Templin Tengen Tessin Teterow Tettnang Teublitz Teuchern Teupitz Teuschnitz Thale Thannhausen Tharandt Themar Thum Tirschenreuth Titisee-Neustadt Tittmoning Todtnau Toenisvorst Toenning Torgau Torgelow Tornesch Traben-Trarbach Traunreut Traunstein Trebbin Treffurt Trendelburg Treuchtlingen Treuen Treuenbrietzen Tribsees Trier Triptis Trochtelfingen Troisdorf Trossingen Trostberg Tuebingen Tuttlingen Twistringen Uebigau-Wahrenbrueck Ueckermuende Uelzen Uetersen Uffenheim Uhingen Ulm Ulrichstein Ummerstadt Unkel Unna Usedom Usingen Uslar Vacha Vallendar Varel Vechta Velbert Velburg Velden Vellberg Vellmar Velten Verden Veringenstadt Versmold Viechtach Vienenburg Viernheim Viersen Villingen-Schwenningen Vilsbiburg Vilseck Visselhoevede Vlotho Voerde Volkach Volkmarsen Vreden Waechtersbach Wadern Waghaeusel Wahlstedt Waiblingen Waibstadt Waischenfeld Waldeck Waldenbuch Waldenburg Waldenburg Waldershof Waldheim Waldkappel Waldkirch Waldkirchen Waldkraiburg Waldmuenchen Waldsassen Waldshut-Tiengen Walldorf Wallduern Wallenfels Walsrode Waltershausen Waltrop Wanfried Wanzleben Warburg Waren Warendorf Warin Warstein Wassenberg Wassertruedingen Wasungen Wedel Weener Wegberg Wegeleben Wehr Weida Weikersheim Weilburg Weimar Weingarten Weinheim Weinsberg Weinstadt Weismain Weiterstadt Welzheim Welzow Wemding Werben Werdau Werder Werdohl Werl Wermelskirchen Wernau Werne Werneuchen Wernigerode Wertheim Werther Wertingen Wesel Wesenberg Wesselburen Wesseling Westerburg Westerland Westerstede Wetter Wetter Wettin Wetzlar Widdern Wiehe Wiehl Wiesbaden Wiesmoor Wiesensteig Wiesloch Wildberg Wildemann Wildenfels Wildeshausen Wilhelmshaven Willebadessen Willich Wilsdruff Wilster Wilthen Windischeschenbach Windsbach Winnenden Winsen Winterberg Wipperfuerth Wirges Wismar Wissen Witten Wittenberg Wittenberge Wittenburg Wittichenau Wittlich Wittingen Wittmund Witzenhausen Woldegk Wolfach Wolfen Wolfenbuettel Wolfhagen Wolframs-Eschenbach Wolfratshausen Wolfsburg Wolfstein Wolgast Wolkenstein Wolmirstedt Worms Wriezen Wuelfrath Wunsiedel Wunstorf Wuppertal Wuerselen Wurzbach Wuerzburg Wurzen Wustrow Xanten Zahna Zehdenick Zeitz Zell Zella-Mehlis Zerbst Zeulenroda-Triebes Zeven Zierenberg Ziesar Zirndorf Zittau Zossen Zschopau Zwenkau Zwickau Zwiesel Zwingenbergffaker-2.8.1/lib/ffaker/data/address_de/state0000644000004100000410000000027213233715167021076 0ustar www-datawww-dataBaden-Wuerttemberg Bayern Berlin Brandenburg Bremen Hamburg Hessen Mecklenburg-Vorpommern Niedersachsen Nordrhein-Westfalen Rheinland-Pfalz Saarland Sachsen Schleswig-Holstein Thueringenffaker-2.8.1/lib/ffaker/data/address_chfr/0000755000004100000410000000000013233715167020364 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_chfr/canton0000644000004100000410000000040013233715167021563 0ustar www-datawww-dataArgovie Appenzell Rhodes-Extérieures Appenzell Rhodes-Intérieures Bâle-Campagne Bâle-Ville Berne Fribourg Genève Glaris Grisons Jura Lucerne Neuchâtel Nidwald Obwald Saint-Gall Schaffhouse Schwytz Soleure Tessin Thurgovie Uri Valais Vaud Zoug Zurich ffaker-2.8.1/lib/ffaker/data/lorem_ru/0000755000004100000410000000000013233715167017561 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/lorem_ru/chars0000644000004100000410000000014313233715167020602 0ustar www-datawww-dataа б в г д е ё ж з и й к л м н о п р с т у ф х ц ч ш щ ь ы ъ э ю я ffaker-2.8.1/lib/ffaker/data/lorem_ru/words0000644000004100000410000000511513233715167020644 0ustar www-datawww-dataо то от бы мы из на не же по ёж так нас всё том что это как тем при тех без или где вне быть выше вина доля тоже была сила лишь этих небу силу этой тема даёт лимб ищет неба было того ноны дата типа ёлка этом лист иней даже дёрн могли звёзд налёт узкой около окнах между новых яркие очень после будет ярких много целой минут можно связи менее более нужно кроме никак тогда таким собой блеск точно точки равен ближе такая видим время после разъём второй группы подъём тёмный искать полосе других выводу больше каждая низкие слабых объект состав больше слабым образом пылевой материи вспышек стороны объекты слились пылевая газовой сильное состоит десятки никакой понятно зелёный большая удалось спектра твёрдой нулевой угловое вопросе начиная больших лёгкость экватора близкими звёздами облаками являлась объектов невелика точечные являются например основная которого гипотеза точечные площадке галактик случайным оказались видимости поскольку оптически источники объектами входящими указывали трудность остатками выдвинута надеяться площадках расстояний аэросъёмка сверхновых источником вызывалась оптических достаточно содержащей квадратных показывала равномерно астрономии оптическое отсутствие дискретных источников источниками расстояниях действующие межзвёздная радиоволнах температуры наблюдениях большинство определяется концентраций отождествляя существование многочисленная распределённых немногочисленных ffaker-2.8.1/lib/ffaker/data/lorem_ru/capital_chars0000644000004100000410000000014313233715167022277 0ustar www-datawww-dataА Б В Г Д Е Ё Ж З И Й К Л М Н О П Р С Т У Ф Х Ц Ч Ш Щ Ь Ы Ъ Э Ю Я ffaker-2.8.1/lib/ffaker/data/job_fr/0000755000004100000410000000000013233715167017176 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/job_fr/job_nouns0000644000004100000410000000050313233715167021113 0ustar www-datawww-datade la protection civile de la division financiere service comptable agence comptable du service financier des ressources humaines de la recherche scientifique des services informatiquues des services techniques du management de la qualité du patrimoine bati du service commercial du contrôle technique contrôle qualité ffaker-2.8.1/lib/ffaker/data/job_fr/job_prefixes0000644000004100000410000000030613233715167021577 0ustar www-datawww-datadirecteur ordonnateur responsable administrateur gestionnaire assistant chef conseiller consultant expert conseiller technique administrateur 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www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_se/city0000644000004100000410000000260113233715167020743 0ustar www-datawww-dataÖsthammar Östersund Örnsköldsvik Öregrund Örebro Åmål Åhus Ängelholm Älvsborg Ystad Växjö Västerås Västervik Värnamo Vänersborg Vä Visby Vimmerby Vetlanda Vaxholm Varberg Vadstena Uppsala Umeå Ulricehamn Uddevalla Trosa Trollhättan Trelleborg Tranås Torshälla Torget Tommarp Tidaholm Sölvesborg Södertälje Söderköping Söderhamn Sävsjö Säter Säffle Sundsvall Sundbyberg Strömstad Strängnäs Stockholm Solna Sollefteå Skövde Skänninge Skellefteå Skara Skanör Skanör Simrishamn Sigtuna Sandviken Sala Ronneby Piteå Oxelösund Oskarshamn Nässjö Nynäshamn Nyköping Nybro Nya Lidköping Norrtälje Norrköping Nora Nacka Mönsterås Mölndal Motala Mjölby Marstrand Mariestad Mariefred Malmö Lödöse Lysekil Lyckå Lycksele Luntertun Lund Luleå Ludvika Lomma Ljungby Linköping Lindesberg Lidköping Lidingö Landskrona Laholm Köping Kungälv Kungsbacka Kumla Kristinehamn Kristianstad 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Genvägen Getfotsvägen Giffelvägen Giggvägen Gillbergavägen Gillegatan Gillögagatan Gimmerstavägen Gimågatan Gjutargatan Gjuterivägen Gjörwellsgatan Gladiolusvägen Glanshammarsgatan Glasbjörksvägen Glasbruksgatan Glasmålarvägen Glasmästarvägen Glavagatan Gliavägen Glidflyktsgatan Glimavägen Glädjevägen Gnejsvägen Gnestavägen Godsägarvägen Gondolgatan Gotlandsgatan Grafikvägen Grafikvägens Gc-Väg Grangärdevägen Granitvägen Granskogsvägen Gransångarvägen Grekfararvägen Grenvägen Grev Magnigatan Grev Turegatan Greve Von Essens Väg Grevgatan Gribbyvägen Grimstagatan Grimstahamnsvägen Grindsgatan Grindstuvägen Grindstängarvägen Gripsholmsvägen Gripvägen Gripvägen Grosshandlarvägen Grossistvägen Grubbens Gata Grumsgatan Grundläggarvägen Grundtvigsgatan Grycksbovägen Gryningsvägen Grytvägen Gråhundsvägen Gråstensvägen Gränsvägen Gräsandsvägen Gräsgatan Gräsholmsvägen Grävlingsvägen Grödingegatan Gröna Stugans Väg Gröna Vägen Grönbetevägen Grönbrinksgatan Gröndalsvägen Grönkålsvägen Grönlandsgatan Grönlandsgatan Grönskevägen Grönviksvägen Gubbkärrsvägen Gubbängsvägen Gudmundrågatan Gudrunsvägen Guldsmedsvägen Gullfossgatan Gullmarsvägen Gulsparvsvägen Gumshornsgatan Gunnar Asplunds Väg Gunnar Asplunds Väg Gunnar Wallers Väg Gunnarsvägen Gunnebogatan Gurlitavägen Gustaf Ljunggrens Väg Gustaf Lundbergs Väg Gustaf Wickmans Väg Gustaf Wickmans Väg Gustafsborgsvägen Gustavslundsvägen Guttormsvägen Gyldéngatan Gyllenborgsgatan Gyllenstiernsgatan Gårdfarivägen Gårdsbogatan Gårdsfogdevägen Gåshällsvägen Gåsingevägen Gärdesgatan Gästrikegatan Gävlegatan Gökvägen Gösta Ekmans Väg Göta Landsväg Götaforsvägen Götalandsvägen Götgatan Götlundagatan Hackspettsvägen Hadorphsvägen Haeffnersvägen Hagagatan Hagelstavägen Hagforsgatan Hagmarksvägen Hagsätravägen Hagtornsvägen Hakeskyttvägen Hallandsgatan Hallebergsvägen Hallmästarvägen Hallonvägen Hallstanäsvägen Hallvägen Halmstadsvägen Halmvägen Hamburgsvägen Hammarby Fabriksväg Hammarby Kajgata Hammarby Kajgata Hammarby Kajväg Hammarby Slussväg Hammarbyvägen Hammarbyvägen Hammargatan Hammerstavägen Hamngatan Hamnpirsvägen Handelsvägen Handelsvägen Lokalgata Hangövägen Haningegatan Hanna Paulis Gata Hanna Rydhs Gata Hanstavägen Hanstavägen leden Hantverkargatan Hanvedsgatan Hardemogatan Harpsundsvägen Harry Martinsons Gata Hasselbergsvägen Hasselquistvägen Haukadalsgatan Hauptvägen Havregatan Havsfruvägen Havsörnsvägen Hedebyvägen Hedinsgatan Heimdalsgatan Heleneborgsgatan Helgagatan Helgdagsvägen Helgestavägen Helgumsvägen Helgumsvägen Helikoptergatan Heliosgatan Heliosvägen Heliosvägen Helsingborgsvägen Helsingforsgatan Helsingörsgatan Hembyggarvägen Hemmansvägen Hemskogsvägen Hemslöjdsvägen Hemsövägen Herbert Widmans Väg Herdevägen Herkulesgatan Herkulesgatan på/avfart Herman Ygbergs Väg Herr Göstas Väg Herr Stens Väg Herrgårdsvägen Herrhagsvägen Herrängsvägen Hertigvägen Hildebergsvägen Hildebrandsvägen Hillbergsvägen Hirdvägen Hjalmar Cederströms Gata Hjalmar Danells Väg Hjalmar Söderbergs Väg Hjortbergsvägen Hjortronvägen Hjortsbergsvägen Hjovägen Hjulstavägen Hjulstavägen Rinkeby Hjulstavägen Spånga Hjälmarsvägen Hjärnegatan Hodellvägen Holbergsgatan Holländargatan Holmamiralens Väg Holmgårdsvägen Holmögaddsvägen Horisontvägen Hornsbergsvägen Hornsbruksgatan Hornsgatan Hornsgatan på/avfart Hornsgatsavfarten Hornsgatspåfarten Hovmästarvägen Hovslagargatan Hubertusgatan Huddingevägen Huddingevägen Enskede Huddingevägen Älvsjö Hudiksvallsgatan Hugleiksvägen Hugo Nissars Väg Humlegårdsgatan Hummelvägen Hunduddsvägen Hunnebergsvägen Husabyvägen Husarviksvägen Huvudfabriksgatan Huvudskärsvägen Hyggevägen Hyltevägen Hyltingevägen Hypoteksvägen Hyvelvägen Hågavägen Hållövägen Hägerstensvägen Hägervägen Häggvägen Hälsingegatan Hälsobrunnsgatan Häradsdomarvägen Härbärgesvägen Häringevägen Härjedalsgatan Hässelby Strandväg Hässleholmsvägen Hästholmsvägen Hästskovägen Höckertsvägen Högalids Kyrkväg Högalidsgatan Höganäsvägen Högbergsgatan Högklintsvägen Höglindavägen Högsjövägen Högsätesvägen Hökarvägen Hökens Gata Hökmossevägen Hökvägen Hölövägen Hörningsholmsvägen Höskrindevägen Höstgatan Hövdingagatan Ibsengatan Idaborgsvägen Idholmsvägen Idrevägen Idungatan Igelbäcksgatan Igeldammsgatan Igelkottsvägen Iggesundsvägen Imatragatan Importörvägen Industrigatan Inedalsgatan Ingemarsgatan Ingenjörsvägen Ingmar Bergmans Gata Ingvarsvägen Instrumentvägen Inteckningsvägen Irisvägen Isafjordsgatan Isbergavägen Islandsvägen Israel af Ströms Väg Israel Af Ströms Väg Ivan Hedqvists Väg Ivar Hallströms Väg Ivar Vidfamnes Gata Ivarskärrsvägen Iversonsgatan Jakob Westinsgatan Jakobsbergsgatan Jakobsdalsvägen Jakobsgatan Jarl Kulles Gata Jenny Linds Gata Jenny Nyströms Gata Johan Printz Väg Johan Skyttes Väg Johannelundsvägen Johannesbergsgatan Johannesfredsvägen Johannesgatan Johanneshovsvägen Johannisdalsgatan John Ericssonsgatan John Nordströms Väg Jomsborgsvägen Jordanesvägen Jordgubbsvägen Josefinavägen Julia Caesars Väg Julitavägen Jungfrugatan Junkergatan Junohällsvägen Juvelerarvägen Jyllandsgatan Jädersvägen Jägargatan Jägmästargatan Jämtlandsgatan Järflottavägen Järnavägen Järnbärarvägen Järneksvägen Järnlundsvägen Järnmalmsvägen Järntorgsgatan Järnvägsparken Järnvägsparken Jökelvägen Jönåkersvägen Jösseforsvägen Kadettgatan Kaggeholmsvägen Kaj Munks Väg Kajsa Wargs Väg Kaknäsvägen Kaktusvägen Kakvägen Kalixvägen Kallforsvägen Kallskärsgatan Kalmgatan Kammakargatan Kampementsgatan Kamrerarvägen Kanaans Väg Kanalvägen Kanslersvägen Kantarellvägen Kapellvägen Kapplandsvägen Kaprifolvägen Kaptensgatan Karaffgatan Karduansmakargatan Karin Boyes Gata Karin Månsdotters Väg Karl Nordströms Väg Karlavägen Karlbergsvägen Karlebyvägen Karl-Gustav Doolkes Väg Karlsbodavägen Karlsborgsvägen Karlshällsvägen Karlskronavägen Karlslundsvägen Karlsviksgatan Karlsövägen Karlsövägen Parkering Höger Karlsövägen Parkering Vänster Karmstolsvägen Karossvägen Karstensvägen Karusellvägen Kasbyvägen Kasbyvägen Kaskögatan Kastanjevägen Kastrupgatan Kata Dalströms Gata Katalanvägen Katarina Bangata Katarina Västra Kyrkogata Katarinavägen Katrinebergsvägen Katrineforsvägen Kattnäsvägen Kavelbrovägen Kebnekaisevägen Kedjevägen Kellgrensgatan Kexvägen Kilabergsvägen Kilsbergsvägen Kilsgatan Kilsmogatan Kindstugatan Kinmanssonsvägen Kinmanssonvägen Kinnekullevägen Kirunagatan Kista Alléväg Kista Gårdsväg Kistavägen Kistvägen Kiviksvägen Klackvägen Klappjaktsvägen Klara Norra Kyrkogata Klara Södra Kyrkogata Klara Västra Kyrkogata Klara Östra Kyrkogata Klarabergsgatan Klarbärsvägen Klarälvsvägen Klaviaturgatan Klematisvägen Klensmedsvägen Klenätvägen Klippgatan Klockelundsvägen Klockvägen Klubbensborgsvägen Klubbevägen Klyftvägen Klyvarvägen Klädesvägen Klövervägen Knallevägen Knaperstavägen Knarrarnäsgatan Knektvägen Knut Sjöbergs Väg Knypplerskevägen Knäpparvägen Kocksgatan Kolargatan Koldinggatan Kolonivägen Kolsnarsvägen Koltrastvägen Kommendörsgatan Komministervägen Konditorsvägen Konradsbergsgatan Konsolvägen Konstgjutarvägen Konsumentvägen Kontoristvägen Kontovägen Kontovägen Kontrollvägen Konvojgatan Korintvägen Korphoppsgatan Korpmossevägen Korsholmsvägen Korsnäsvägen Korsvägen Korta Vägen Kotkagatan Kottbygatan Kottgatan Kransbindarvägen Kranvägen Kratsbodavägen Krattvägen Kringelvägen Kristallvägen Krister Siöblads Väg Kristina Nilssons Väg Kristinebergs Slottsväg Kristinebergsvägen Kristinehamnsgatan Kristinehovsgatan Krokanvägen Krokvägen Krokvägsgränd Kronobergsgatan Kronofogdevägen Kronvägen Kronåsvägen Kronåsvägen Krossgatan Krukmakargatan Krusbärsvägen Kryddlandsvägen Kryssargatan Kråkrisvägen Krångedevägen Krämarvägen Kubbegatan Kubikenborgsvägen Kullavägen Kulstötarvägen Kumlagatan Kummelvägen Kumminvägen Kung Atles Väg Kungsgatan Kungsholmsgatan Kungssätravägen Kungstensgatan Kungsträdgårdsgatan Kurirgatan Kusevägen Kvarnbacksvägen Kvarnbyvägen Kvarngatan Kvarnhagsgatan Kvarnholmsvägen Kvarnstugvägen Kvarnsvedsvägen Kvastvägen Kvickensvägen Kvicksundsvägen Kvistbrogatan Kylgatan Kylhusgatan Kyrkhamnsvägen Kyrklundsvägen Kyrkogårdsvägen Kyrkoherdevägen Kålgårdsvägen Källbergsvägen Källvägen Kälvestavägen Kängvägen Kärnbovägen Kärrbössevägen Kärrtorpsvägen Kölnagatan Köpenhamnsgatan Köpingsvägen Köpmangatan Körsbärsvägen Körsvensvägen Laboratoriegatan Ladbacksvägen Laduviksvägen Lagavägen Lagerbielkes Väg Lagerlöfsgatan Lagmansvägen Lambarövägen Landsvägen Lanforsvägen Langelandsgatan Larsbodavägen Larsmässgatan Laxåvägen Lekparksvägen Leksandsvägen Lemmings Väg Lerkrogsvägen Lessebovägen Levertinsgatan Lidingövägen Lidköpingsvägen Lidnersgatan Lidovägen Lievägen Lignagatan Liljas Gata Liljegrensvägen Liljeholmsvägen Liljekungsvägen Liljeörnsgatan Lilla Aspuddsvägen Lilla Banvägen Lilla Erstagatan Lilla Frescativägen Lilla Gungans Väg Lilla Nygatan Lilla Skuggans Väg Lilla Sällskapets Väg Lillhagsvägen Lillhemsgatan Lillsjönäsvägen Lillsjövägen Lillsjövägen Lillvägen Lillåvägen Lillängsgatan Limavägen Limonitvägen Linbodavägen Lindalsvägen Lindarängsvägen Lindaus Väg Lindetorpsvägen Lindevägen Lindhagensgatan Lindstedtsvägen Lindvallsgatan Lingvägen Linjemästarvägen Linnégatan Linta Gårdsväg Lintavägen Lisebergsvägen Listavägen Listuddsvägen Livdjursgatan Livlandsgatan Ljusglimtsvägen Ljusglimtsvägen Ljusnevägen Ljusterögatan Lm Ericssons Väg LM Ericssons Väg Lodbroksvägen Lodgatan Lofotengatan Logvägen Lokattsvägen Lokstallsgatan Lollandsgatan Lorensbergsgatan Lotsgatan Lotterivägen Louddsvägen Love Almqvists Väg Lovisagatan Loviselundsvägen Lucidorsgatan Ludgovägen Ludvigsbergsgatan Luftfartsgatan Luftskeppsgatan Lugna Gatan Lugntorpsvägen Luktärtsvägen Lumagatan Lumaparksvägen Lundagatan Lundagårdsvägen Lunkentusvägen Luntmakargatan Lupinvägen Lussekattsvägen Lustgårdsgatan Lustigkullavägen Lusuddsvägen Lusuddsvägen Luxgatan Lyckebyvägen Lyckovägen Lyckselevägen Lysviksgatan Lützengatan Lågskärsvägen Långa Gatan Långbrodalsvägen Långbrokungens Väg Långbrovägen Långhalsvägen Långholmsgatan Långsjövägen Långskeppsgatan Långvretsvägen Långåkersvägen Långängsvägen Läckövägen Läggestavägen Läkarvägen Länsmansvägen Länsrådsvägen Lästmakargatan Lästringevägen Lödösevägen Lögebodavägen Löjtnantsgatan Lördagsvägen Lötmogatan Lövholmsvägen Lövsta Koloniväg Lövsta Koloniväg Lövstavägen Lövsundsvägen Lövvägen Lövångersgatan Lövåsvägen Magasinsvägen Magelungsvägen Magistervägen Magnebergsvägen Magnetvägen Magnus Ladulåsgatan Majdalsvägen Majorsgatan Majrovägen Majstångsvägen Majvägen Malaxgatan Malgomajvägen Malmgårdsvägen Malmköpingsvägen Malmskillnadsgatan Malmtorgsgatan Malmvägen Malmövägen Maltesholmsvägen Maltgatan Maltvägen Malungsvägen Malvavägen Mamrevägen Mamsell Ullas Väg Mandelblomsvägen Mandelbrödsvägen Manhemsgatan Manillavägen Maratonvägen Margaretavägen Margretelundsvägen Maria Bangata Maria Prästgårdsgata Maria Skolgata Mariagatan Mariebergsgatan Mariedalsvägen Mariehamnsgatan Mariehällsvägen Mariestadsvägen Marieviksgatan Marknadsvägen Markvardsgatan Markviksvägen Markvägen Marmorgatan Martinvägen Marviksvägen Maskinistgatan Masmästarvägen Masugnsvägen Matforsgatan Matforsgatan Matilda Jungstedts Väg Mazarinvägen Medelpadsgatan Medevigatan Medlemsvägen Mejerivägen Mejselvägen Mellanbergsvägen Mellangatan Mellangårdsvägen Mellanvägen Mellanvägsbacken Mellanvägsbacken Mellösavägen Melongatan Messeniusgatan Metargatan Metronomgatan Mickelbergsvägen Mickelsbergsvägen Midskeppsgatan Midsommarvägen Miklagårdsvägen Mikrofonvägen Mimosavägen Minnebergsvägen Minneslundsvägen Minneslundsvägen Minuthandlarvägen Missionsvägen Mitisgatan Mittelvägen Mjölvägen Mobilvägen Mockasinvägen Modemgatan Molinvägen Montebellogatan Monteliusvägen Montörvägen Moravägen Morkullsvägen Mossvägen Motalavägen Movägen Mullbärsvägen Mullvadsvägen Multrågatan Munkbrogatan Munkedalsvägen Munksjövägen Munksundsgatan Munstycksvägen Murarvägen Murgrönsvägen Murklevägen Murmästarvägen Museivägen Muskotvägen Muskögatan Myntgatan Myrmarksvägen Myrvägen Målargatan Målvägen Måndagsvägen Månskensvägen Mårbackagatan Mårdvägen Mårtensdalsgatan Mälarhöjdsvägen Mälarvägen Mälsåkersvägen Mässvägen Mäster Karls Väg Mäster Mikaels Gata Mäster Samuelsgatan Möckelvägen Möjbrovägen Mölnbackavägen Mölnbovägen Möregatan Mörkövägen Mörsilsgatan Mössebergsvägen Nackagatan Narcissvägen Narvavägen Narviksgatan Nathorstvägen Naumannsvägen Nedre Bergsvägen Nejlikevägen Nicandervägen Nidarosgatan Nils Brincks Väg Nils Lövgrens Väg Nimrodsgatan Nioörtsvägen Nipfjällsvägen Nippervägen Nitvägen Njurundagatan Noaks Väg Nobelgatan Nockeby Kyrkväg Nockebyvägen Nolsögatan Nordenflychtsvägen Nordenskiöldsgatan Nordingrågatan Nordkapsgatan Nordmarksvägen Norevägen Norgegatan Norlindsvägen Norra Agnegatan Norra Hamnvägen Norra Järnvägsbron Norra Järnvägsbron Norra Kajvägen Norra Kapellvägen Norra Kapellvägen Norra Kolonnvägen Norra Stationsgatan Norra Vägen Norrbackagatan Norrbyvägen Norregöksvägen Norrgårdsvägen Norrhagsvägen Norrlandsgatan Norrskogsvägen Norrtullsgatan Norrviksvägen Nybergsgatan Nybodagatan Nybrogatan Nybyggarvägen Nyckelpigsvägen Nydalavägen Nyhammarsgatan Nyhammarsgatan Nykarlebygatan Nykroppagatan Nykvarnsvägen Nylandsgatan Nynäsvägen Nyodlingsvägen Nyslottsvägen Nystadsgatan Nytorgsgatan Nyårsvägen Nyängsvägen Nådendalsvägen Nåsvägen Nåttarövägen Näckströmsgatan Nälsta Hagväg Nälstavägen Nämdögatan Närkesgatan Näshultavägen Näsuddsvägen Näsuddsvägen Nävekvarnsvägen Observatoriegatan Ockravägen Odd Fellowvägen Oddegatan Odelbergsvägen Odengatan Offerdalsgatan Oktavgatan Oktobergatan Ola Hanssonsgatan Olaus Magnus Väg Olaus Petrigatan Olivecronas Väg Olle Engkvists Väg Olof Dalins Väg Olof Gjödingsgatan Olof Palmes Gata Olof Skötkonungs Väg Olofsgatan Olovslundsvägen Olshammarsgatan Olsmässgatan Olympiavägen Onkel Adams Väg Onsdagsvägen Oppundavägen Orangerivägen Orevägen Orhemsvägen Orienterarvägen Orienterarvägen Ormbergsvägen Ormkärrsvägen Ormängsgatan Ornögatan Orrspelsvägen Orsavägen Orvar Odds Väg Oscar Blomstrands Väg Oskar Baeckströms Väg Oskarsvägen Oslogatan Osmundsvägen Osquldas Väg Ottarsvägen Ottekilsvägen Ottesångsvägen Ottsjövägen Oviksgatan Oxbergsvägen Oxbrovägen Oxelvägen Oxenstiernsgatan Oxhagsgatan Oxtorgsgatan P O Hallmans Gata Pajalagatan Palandergatan Palermogatan Palmbladsvägen Palmérsvägen Palmfeltsvägen Panelvägen Pargasgatan Parkeringsvägen Parkgatan Parkväg Parmmätargatan Partihandlarvägen Pastellvägen Pastorsvägen Patentgatan Paternostervägen Patientvägen Pelargatan Pepparvägen Per Albins Väg Per Ekströms Väg Per Hörbergs Väg Per Lindeströms Väg Percy Ahnhems Väg Percy Ahnhems Väg Pergolavägen Peringskiöldsvägen Persikogatan Personnevägen Perstorpsvägen Petersens Väg Peterséns Väg Petrejusvägen Pettersbergsvägen Pilbågsvägen Pilgatan Pilgrimsvägen Pilkrogsvägen Pilos Väg Pilotgatan Pilvingegatan Pimpstensvägen Pingstvägen Pintorpavägen Pipersgatan Piprensarvägen Pirogvägen Piruettvägen Pjäxvägen Plaisirvägen Planterarvägen Planterhagsvägen Planterhagsvägen Plantskolevägen Pliggvägen Ploggatan Plommonvägen Plåtslagarvägen Pokalvägen Polhemsgatan Pollargatan Polovägen Pommerska Gatan Pontonjärgatan Poppelvägen Porfyrvägen Porjusvägen Porkalagatan Porsvägen Porthansvägen Postflygsgatan Postiljonsvägen Prechtvägen Presidentvägen Primulavägen Primusgatan Prins Bertils Väg Prins Carls Väg Prins Carls Väg Prins Eugens Väg Prinsens Väg Prinsessan Ingeborgs Väg Prinsessan Märtas Väg Producentvägen Prostvägen Prylvägen Prästgatan Pukslagargatan Pungpinevägen Pyrolavägen Pålsundsgatan Påskvägen Pär Lagerkvists Gata Pärkspelsvägen Päronvägen Rabattvägen Ragundagatan Ragvaldsgatan Ralångsvägen Ramselegatan Ramsundsvägen Ramviksvägen Ramvägen Randersgatan Rangstagatan Ranhammarsvägen Ransätersvägen Rapphönsvägen Rapsgatan Raseborgsgatan Rastvägen Redargatan Redargatan Regattakajen Regeringsgatan Reginsvägen Registervägen Rehnsgatan Reimersholmsgatan Remontgatan Renathvägen Renstiernas Gata Repslagargatan Responsgatan Restadsvägen Reuterholmsvägen Revalsgatan Revisorsvägen Ribegatan Richard Berghs Väg Riddargatan Riddersviks Gårdsväg Riddersviksvägen Rigagatan Riksbyvägen Riksdalervägen Riksgatan Riksmarskalkens Väg Riksrådsvägen Rikstensvägen Rimbertsvägen Rimbogatan Rimmargatan Rindögatan Ringblommevägen Ringdansvägen Ringsjövägen Ringstedsgatan Ringvägen Rinkestavägen Ripsavägen Riskvägen Rissnavägen Ritarvägen Robert Almströmsgatan Rockelstavägen Roddargatan Ronnebyvägen Rorgängargatan Rosenbönsvägen Rosendalsvägen Rosengatan Rosenhillsvägen Rosenlundsgatan Roslagsgatan Roslagsvägen Roslinvägen Rothuggsvägen Rottnevägen Rubinvägen Ruddammsvägen Rullstensvägen Runda Vägen Runebergsgatan Runiusgatan Runsavägen Runstensvägen Runsätravägen Runtunavägen Runövägen Ruriksvägen Russinvägen Rusthållarvägen Rutger Fuchsgatan Rügenvägen Ryggåsgatan Ryssbodavägen Ryssbodavägen Ryssmurvägen Ryssmurvägen Ryssviksvägen Ryttmästarvägen Råbyvägen Råcksta Gårdsväg Råckstavägen Rådagatan Rådlösavägen Rådmansgatan Råggatan Rågsvedsvägen Rågångsvägen Rålambsvägen Rånövägen Rädisvägen Rämensvägen Rättar Vigs Väg Rättviksvägen Rävsnäsvägen Röda Backens Väg Röda Backens Väg Rödabergsgatan Rödbodgatan Rödhakevägen Rödkindavägen Rödklövervägen Rödlöksvägen Rökerigatan Rökstensvägen Röksvampsvägen Rökubbsgatan Rönnapelvägen Rönnvägen Rörläggarvägen Rörsoppsvägen Rörstrandsgatan Rösvägen Sabbatsbergsvägen Sachsgatan Saffransvägen Saimagatan Salagatan Salbyvägen Salixvägen Saltmätargatan Saltvägen Samuel Owens Gata Sandbacksgatan Sandelsgatan Sandemarsvägen Sandfjärdsgatan Sandhagsgatan Sandhagsgatan Sandhamnsgatan Sandkullsvägen Sandsborgsvägen Sandstensvägen Sandviksvägen Sandåkravägen Sandåkravägen Sandåsgatan Sankt Eriksgatan Sankt Göransgatan Sankt Hollingers Väg Sankt Mickelsgatan Sankt Paulsgatan Sannadalsvägen Sara Moraeas Väg Sareksvägen Savolaksvägen Saxlandsvägen Scheelegatan Scheffersgatan Schlytersvägen Schylandersvägen Sedelvägen Sedumvägen Segelbåtsvägen Segelflygsgatan Segeltorpsvägen Segervägen Seglatsgatan Seglatsgatan Sehlstedtsgatan Selaövägen Selebovägen Selmedalsvägen 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Andreza Andria Ane Anedina Anelcides Anésia Anézia Ângela Angélica Angelina Angelique Angelita Ânia Anice Anieta Anissa Anita Antenor Antonela Antônia Antonieta Aparecida Arabela Araci Ari Ariana Ariane Arícia Ariel Arlene Arlete Armanda Armandina Arminda Arthur Artur Ashley Astrid Atena Ateneia Athena Átila Augusta Áurea Aurélia Aureliana Aurinda Aurízia Aurora Auxiliadora Ava Balbina Balduína Balsemina Bárbara Bartira Bartolina Basília Basilisa Beatris Beatriz Bebiana Bela Beladora Belanice Belanísia Belara Belarmina Belém Belenice Belina Belinda Belísia Belita Belivalda Belizaura Belma Belmira Belonice Belonísia Benardete Benedicta Benedita Benícia Benilde Benvinda Berengária Berenice Bernadete Bernardete Berta Bertha Betânia Beth Betina Bia Bianca Bibiana Bina Bitenha Boanerges Bonifácia Branca Brenda Briana Brida Brisa Brita Brízida Bruna Brunilde Cacelina Cácia Cacilda Caetana Caila Cailane Cailany Caitiane Calenice Caliandra Calícia Calvin Camélia Camila Camille Camilly Candelária Cândida Canuta Caren Carilinda Carin Cárin Carina Carine Carla Carlota Carmen Cármen Carol Carole Carolina Caroline Cassandra Cássia Cassilda Catarina Cátia Cecília Celeste Célia Celine Charlene Christiana Christiane Cidália Cíntia Clara Clarice Clarissa Clarisse Cláudia Cleidiane Clementina Cléo Cleyde Conceição Constança Consuelo Cora Coralina Corina Corine Cosme Cris Cristal Cristiana Cristina Cynthia Dacelina Daci Daciria Dádiva Dafne Daglia Dagmery Dagnólia Daiana Daiane Daiani Dailza Daina Daine Daise Daisi Daisy Dália Dalida Dalila Dalira Dalma Dalmara Dalva Damião Dana Dandara Dânia Daniela Danielle Danila Danis Dara Darci Darcy Darlene Débora Deborah Deisily Dejanira Delfina Delma Delmar Dénis Denise Deotília Dercy Desiré Deusa Deusolea Diana Dilan Dilar Dilma Dimas Dina Diná Dinah Dinara Diniz Dinora Dinorah Dionia Dionísia Dirce Diva Djalma Dolores Domicília Dominica Donatela Donizete Dora Dores Doroteia Dorothea Dulce Dulcilaine Dulcineia Ecila Ecilene Edcleia Edeane Edeilda Edeleusa Edelícia Edelma Edelmira Edelvira Edelvita Edely Edelzuita Edênia Edenice Edenilde Edilene Edinalda Edna Edneia Eduarda Edvânia Edviges Elaine Elba Eleanor Eleine Elena Eleonora Eli Eliana Eliane Elide Eliezer Élis Elisa Elisabete Elisabeth Elisângela Elisete Elizabete Ellen Elmina Eloá Eloísa Elsa Elvira Elza Ema Emanuela Emília Emiliana Eneida Erica Érica Érika Éris Esdras Esmeralda Esperança Estefani Estefânia Estela Ester Esther Estrela Eucaliane Eudora Eugênia Eulália Eunice Eurica Eva Evangelina Evelina Eveline Evelyn Ewellyn Fábia Fabiana Fabíola Fabrícia Fabrízia Fátima Fédora Felícia Felipa Fernanda Filomena Fiona Firmina Flávia Flor Flora Florentina Franciely Francisca Frederica Gabriel Gabriela Gabriele Gabrieli Gael Gaetana Galba Galcina Galdência Galdina Gardênia Gasparina Gema Genezia Genuzia Georgete Georgiana Geovana Geralda Germínia Gertrudes Gerusa Geruza Giana Gilda Gilmar Giovana Giovanna Girlene Gisela Giselle Gislaine Gisleine Gladys 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application/xop+xml application/zip application/gzip audio/basic audio/L24 audio/mp4 audio/mpeg audio/ogg audio/vorbis audio/vnd.rn-realaudio audio/vnd.wave audio/webm image/gif image/jpeg image/pjpeg image/png image/svg+xml image/tiff image/vnd.microsoft.icon message/http message/imdn+xml message/partial message/rfc822 model/example model/iges model/mesh model/vrml model/x3d+binary model/x3d+vrml model/x3d+xml multipart/mixed multipart/alternative multipart/related multipart/form-data multipart/signed multipart/encrypted text/cmd text/css text/csv text/html text/javascript text/plain text/vcard text/xml video/mpeg video/mp4 video/ogg video/quicktime video/webm video/x-matroska video/x-ms-wmv video/x-flv ffaker-2.8.1/lib/ffaker/data/filesystem/extension0000644000004100000410000000025513233715167022062 0ustar www-datawww-dataflacd mp3d wavd bmpd gifd jpegd jpgd pngd tiffd cssd csvd htmld jsd jsond txtd mp4d avid movd webmd docd docxd xlsd xlsxd pptd pptxd odtd odsd odpd pagesd numbersd keyd pdf ffaker-2.8.1/lib/ffaker/data/name_gr/0000755000004100000410000000000013233715167017345 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/name_gr/male_last_names0000644000004100000410000000203013233715167022407 0ustar www-datawww-dataΑβραμίδης Αθανασίου Αλεξάκης Αποστόλου Αργυρός Βαλσάμης Βαμβακάς Βενιζέλος Βασιλόπουλος Βλαχόπουλος Βούλγαρης Γαλάνης Γεωργίου Γεωργιάδης Γούναρης Δαμασκηνός Δημαράς Δελής Δοξαράς Δραγούμης Ελευθερόπουλος Ευταξίας Ζάχος Ζερβός Ζωγράφος Ηλιόπουλος Ιωαννίδης Καλάρης Καλογιάννης Κούνδουρος Κοτζιάς Κουρμούλης Λαγός Λαμέρας Λιακόπουλος Μάγκας Μανωλάς Μαυρίδης Μεταξάς Μιχαηλίδης Οικονόμου Παπαγεωργίου Παπαδόπουλος Παπαντωνίου Παππάς Πουλόπουλος Ρέντης Σακελλαρίου Σαμαράς Σπανός Σπυρόπουλος Ταρσούλης Φιλιππίδης Φλέσσας Φραγκούδης Φωτόπουλος Χρηστόπουλοςffaker-2.8.1/lib/ffaker/data/name_gr/female_last_names0000644000004100000410000000144213233715167022730 0ustar www-datawww-dataΑγγελίδου Αβραμίδου Αγγελοπούλου Αθανασίου Αλεξίου Αποστόλου Βουγιουκλάκη Βαλσάμη Βαμβακά Βλαχοπούλου Γαλάνη Γεωργιάδη Γούναρη Δελή Ελευθεροπούλου Ευταξία Ζάχου Ζερβου Ιωάννου Ιωαννίδη Ζωγράφου Ηλιόπουλου Καλογιάννη Κορομηλά Κοτζιά Λιακόπουλου Λύτρα Μανωλά Μαυρίδου Μπότσαρη Μεταξά Νικολάου Οικονόμου Παπαγεωργίου Παπανδρέου Παπανικολάου Παπαντωνίου Σακελλαρίου Σαμαρά Σπανού Ταρσούλη Τρικούπη Φιλιππίδη Φλέσσα Χατζηιωάννουffaker-2.8.1/lib/ffaker/data/name_gr/female_first_names0000644000004100000410000000213113233715167023110 0ustar www-datawww-dataΑγαθή Αγγελική Αγνή Αθηνά Ανθή Βαρβάρα Βασιλική Βάσω Βερενίκη Βικτωρία Γαβριέλα Γενοβέφα Γεωργία Γιώτα Γωγώ Δήμητρα Διονυσία Δούκισσα Ειρήνη Ελεάννα Ελένη Ελευθερία Ζαχαρένια Ζωγραφιά Ζωή Ήβη Ηλέκτρα Ήρα Ηώ Θέκλα Θεοδοσία Θεοπούλα Θοδώρα Ιουλία Ιφιγένεια Ιωάννα Καλλινίκη Καλυψώ Κασσιόπη Κατερίνα Κική Λεμονιά Λίζα Λουκία Λυσιστράτη Μαίρη Μαλβίνα Μαριάνα Ματούλα Μυρτώ Νάντια Ναταλία Νικολέττα Ντίνα Ξανθίππη Ξένια Όλγα Ολυμπία Παναγιώτα Παρθένα Περιστέρα Πόπη Πωλίνα Ραφαέλα Ρένα Ρία Ροζαλία Ρωξάνη Σαλώμη Σεβαστή Σμαράγδα Σοφία Τατιάνα Τριανταφυλλένια Φαίη Φιλοθέη Φιλομένα Φρόσω Χάιδω Χριστίναffaker-2.8.1/lib/ffaker/data/name_gr/male_first_names0000644000004100000410000000256313233715167022606 0ustar www-datawww-dataΑβραάμ Άγγελος Αδάμ Αλέξανδρος Αθανάσιος Αίμων Ακάκιος Αναξίμανδρος Αντώνης Αχιλλέας Βασίλειος Βλαδίμηρος Βρασίδας Γαβριήλ Γεδεών Γεώργιος Γιακουμής Γιάννης Γιώργος Γλαύκος Δαίδαλος Δανιήλ Δημήτρης Δημοσθένης Διογένης Έκτορας Εμμανουήλ Ερρίκος Ευκλείδης Ευριπίδης Ζαφείρης Ζάχος Ζήσης Ηλίας Ηρακλής Θανάσης Θεόδωρος Θοδωρής Θωμάς Ιάκωβος Ιεροκλής Ιορδάνης Κάρολος Κλεάνθης Κοσμάς Κυριάκος Κώστας Λάζαρος Λάμπρος Λευτέρης Λουκάς Μάκης Μάνος Μενέλαος Μιχαήλ Νάσος Νεκτάριος Νικήτας Νικηφόρος Νικόλαος Ξενοφών Οδυσσέας Ορέστης Ορφέας Παναγιώτης Παντελής Πάρις Παύλος Πέτρος Ρένος Ρουσέτος Σάββας Σάκης Σοφοκλής Σπύρος Σταμάτης Στέλιος Στέφανος Τέλης Τριαντάφυλλος Φανούρης Φίλιππος Φοίβος Φωκάς Φώτης Χαράλαμπος Χάρης Χαρίτων Χρήστος Χριστόφοροςffaker-2.8.1/lib/ffaker/data/address_jp/0000755000004100000410000000000013233715167020053 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_jp/city0000644000004100000410000000254513233715167020754 0ustar www-datawww-data横浜市 大阪市 名古屋市 札幌市 神戸市 京都市 福岡市 川崎市 さいたま市 広島市 仙台市 北九州市 千葉市 稲沢市 大崎市 我孫子市 八代市 瀬戸市 富士宮市 小樽市 飯塚市 三郷市 延岡市 草津市 門真市 伊勢市 沖縄市 箕面市 朝霞市 木更津市 座間市 成田市 海老名市 一関市 霧島市 大東市 唐津市 会津若松市 北見市 橿原市 別府市 奥州市 松原市 長浜市 江別市 大牟田市 戸田市 中央区 新居浜市 桐生市 佐野市 国分寺市 鴻巣市 富田林市 小金井市 半田市 生駒市 那須塩原市 羽曳野市 うるま市 鳥栖市 八女市 北本市 三豊市 大和高田市 知立市 藤岡市 京田辺市 丹波市 敦賀市 塩尻市 鯖江市 羽島市 秩父市 村上市 橋本市 総社市 藤井寺市 十和田市 伊達市 鹿嶋市 清須市 紀の川市 常総市 吉川市 津島市 愛西市 白河市 山陽小野田市 玉野市 泉南市 田原市 栗東市 蓮田市 日向市 多賀城市 佐渡市 観音寺市 守谷市 天童市 千曲市 宇城市 東金市 浜田市 南魚沼市 鳴門市 むつ市 安中市 土岐市 北広島市 袖ケ浦市 白井市 名護市 桜井市 みよし市 湖西市 二本松市 福生市 高石市 下野市 石狩市 宮古市 能代市 京丹後市 宇佐市 十日町市 小郡市 ffaker-2.8.1/lib/ffaker/data/address_jp/village0000644000004100000410000000371613233715167021430 0ustar www-datawww-data読谷村 東海村 西郷村 中城村 美浦村 北中城村 長生村 南箕輪村 榛東村 南阿蘇村 六ヶ所村 嬬恋村 恩納村 松川村 今帰仁村 白馬村 宮田村 忍野村 大玉村 弥彦村 山形村 田舎館村 昭和村 原村 高山村 東通村 玉川村 阿智村 平田村 豊丘村 泉崎村 西原村 喬木村 九戸村 関川村 天栄村 飯舘村 千早赤阪村 明日香村 日高村 大衡村 宜野座村 山中湖村 戸沢村 国頭村 筑北村 中島村 中川村 川上村 木島平村 相良村 片品村 鮭川村 刈羽村 朝日村 伊江村 野田村 青木村 飛島村 球磨村 下條村 大桑村 十津川村 山添村 芸西村 中札内村 鮫川村 川場村 高山村 野沢温泉村 田野畑村 大蔵村 山江村 南牧村 新篠津村 清川村 更別村 湯川村 東秩父村 日吉津村 蓬田村 赤村 小谷村 大宜味村 大潟村 北塩原村 木祖村 椎葉村 普代村 南山城村 小川村 麻績村 舟橋村 鳴沢村 新島村 東成瀬村 新郷村 猿払村 川内村 小笠原村 上小阿仁村 三宅村 鶴居村 佐那河内村 檜原村 東白川村 風間浦村 東峰村 南牧村 佐井村 水上村 栄村 真狩村 姫島村 東吉野村 御杖村 留寿都村 生坂村 宇検村 道志村 泰阜村 曽爾村 泊村 神津島村 諸塚村 東村 島牧村 大和村 白川村 三原村 天龍村 川上村 産山村 西目屋村 伊是名村 天川村 葛尾村 西粟倉村 昭和村 南大東村 占冠村 伊平屋村 初山別村 北川村 豊根村 上野村 赤井川村 西米良村 多良間村 五木村 大鹿村 西興部村 根羽村 神恵内村 南相木村 下北山村 馬路村 音威子府村 王滝村 新庄村 座間味村 粟国村 北相木村 黒滝村 小菅村 渡嘉敷村 丹波山村 上北山村 北大東村 十島村 知夫村 売木村 檜枝岐村 平谷村 野迫川村 北山村 渡名喜村 三島村 大川村 粟島浦村 御蔵島村 利島村 青ヶ島村 ffaker-2.8.1/lib/ffaker/data/address_jp/tokyo_ward0000644000004100000410000000035113233715167022157 0ustar www-datawww-data足立区 荒川区 板橋区 江戸川区 大田区 葛飾区 北区 江東区 品川区 渋谷区 新宿区 杉並区 墨田区 世田谷区 台東区 千代田区 中央区 豊島区 中野区 練馬区 文京区 港区 目黒区 ffaker-2.8.1/lib/ffaker/data/address_jp/ward0000644000004100000410000000326313233715167020737 0ustar www-datawww-data中央区 北区 東区 白石区 豊平区 南区 西区 厚別区 手稲区 清田区 青葉区 宮城野区 若林区 太白区 泉区 西区 北区 大宮区 見沼区 中央区 桜区 浦和区 南区 緑区 岩槻区 中央区 花見川区 稲毛区 若葉区 緑区 美浜区 鶴見区 神奈川区 中区 保土ヶ谷区 磯子区 港北区 戸塚区 南区 西区 金沢区 港南区 旭区 緑区 瀬谷区 栄区 泉区 青葉区 都筑区 川崎区 幸区 中原区 高津区 多摩区 宮前区 麻生区 緑区 中央区 南区 北区 東区 中央区 江南区 秋葉区 南区 西区 西蒲区 葵区 駿河区 清水区 中区 東区 西区 南区 北区 浜北区 天竜区 東区 西区 中区 南区 千種区 中村区 昭和区 熱田区 中川区 港区 北区 瑞穂区 栄区 守山区 緑区 名東区 天白区 上京区 下京区 左京区 中京区 東山区 右京区 伏見区 北区 南区 山科区 西京区 北区 西区 東区 南区 此花区 港区 天王寺区 浪速区 西淀川区 東淀川区 西成区 東成区 住吉区 大正区 旭区 都島区 城東区 福島区 生野区 阿倍野区 東住吉区 大淀区 淀川区 鶴見区 住之江区 平野区 中央区 堺区 中区 東区 西区 南区 北区 美原区 灘区 葺合区 神戸区 湊東区 湊区 湊西区 林田区 須磨区 兵庫区 生田区 長田区 垂水区 東灘区 北区 中央区 西区 北区 中区 東区 南区 中区 東区 南区 西区 安佐南区 安佐北区 安芸区 佐伯区 門司区 小倉区 若松区 八幡区 戸畑区 小倉北区 小倉南区 八幡東区 八幡西区 東区 博多区 中央区 南区 西区 城南区 早良区 中央区 東区 西区 南区 北区 ffaker-2.8.1/lib/ffaker/data/address_jp/street0000644000004100000410000000060713233715167021307 0ustar www-datawww-data川端町３条 川端町４条 川端町５条 川端町６条 阿寒町中徹別 阿寒町中仁々志別 阿寒町仲町 阿寒町西阿寒 喜多町 共栄大通 仮生 五反田 湖東 籠月 小熊 材木 坂戸 七黒 七野 茱萸沢 神山 神山平 御殿場 駒門 柴怒田 神場 杉名沢 清後 塚原 中清水 東町 日野田町 別所 堀切 蒔田 三峰 みどりが丘 ffaker-2.8.1/lib/ffaker/data/address_jp/designated_city0000644000004100000410000000032413233715167023134 0ustar www-datawww-data札幌市 仙台市 さいたま市 千葉市 横浜市 川崎市 相模原市 新潟市 静岡市 浜松市 名古屋市 京都市 大阪市 堺市 神戸市 岡山市 広島市 北九州市 福岡市 熊本市 ffaker-2.8.1/lib/ffaker/data/lorem_ar/0000755000004100000410000000000013233715167017535 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/lorem_ar/words0000644000004100000410000002212413233715167020617 0ustar www-datawww-dataلكل مع بداية بالسيطرة, دنو أم الإعتداء والبريطاني, لها وبعد بالجانب ما تحت هو الحرب الوراء الخنادق ما انتهت إستمات أضف قد عقبت لقوات الفترة تحت, بها قد الفترة استدعى وتنصيب حول لإعلان القنابل, بـ يعبأ بلا وتم غضون للإتحاد تم حول بل جسيمة العسكري, أخر استسلام البولندي الأوربيين بـ ثم عصبة خصوصا الجديدة، يكن, فاتّبع بوزيرها قبل ما هاربر فاتّبع فصل بـ, مكّن الدولارات تم على هو هيروشيما المتّبعة وفي والجنود بالمطالبة مدن إذ, كل المضي أراضي الصين به، جحافل بالقصف المبرمة حين بـ, وفرنسا الإستسلام عن شيء, زهاء مرمى المزيفة عدم أن الله وبدون الثالث و لمّ لم لها مدينة تغييرات بالولايات تم يتم أكثر التّحول, وتم قد دأبوا واتّجه ثم تكتيكاً الربيع، وتم, إحتار كنقطة و وفي حين تُصب الأوضاع نورماندي قد, نفس العسكري العسكرية الأوربيين ثم هو الأرض قُدُماً المجتمع حول, مع وجهان غريمه إيو تسبب الأرضية ان وصل, مما بـ يذكر أوكيناوا شبح في قائمة للحكومة وقدّموا, مما ان بتحدّي المعاهدات الإقتصادي قوات بريطانيا، أي الا بها مارد وتزويده لإنعدام أن لم وصل إختار الثقيلة المتساقطة،, ليبين اليابانية الإستسلام جوي في, ثم المحور، والروسية استطاعوا ومن لم هناك مارشال الإتفاقية دول, الحكم إحتلال تزامناً بـ حدى أثره، الهجوم أوراقهم لم قام, عن وقد الحرب المواد, أن حيث يطول غرّة، بتطويق بالرّغم للأسطول الاندونيسية عام كل, بلا الباهضة الحلفاء ما, هو ضرب لعملة الأعمال سياسة بالعمل والحلفاء مدن لم, ربع جديدة نهاية النفط, و إحتلال اسبوعين وتتحمّل قهر وعلى موالية ستالينجراد مكن مع, قد جسيمة الخنادق وباستثناء جوي تلك ما دخول ألماني, جمعت الصعداء حيث هو, الامم بقسوة انتباه بـ عام كل شبح الصيني الخاطفة ولكسمبورغ وقد النازي اليابان العسكرية لم لم قصف تحرّك وقوعها وحتّى المجتمع الرئيسية حدى كل, قوات ألمانيا المبرمة قبل من قد شمال النازية، يبق الا لعدم أسلحته إيطاليا مع, بشكل يتبقّ تم دول, بغزو منشوريا التكاليف لان حرب خسائر اعتداء المسرح و بل الشمل والعتاد الوزراء شيء استعملت بريطانيا، و بها, وتم بل لغات بلديهما بريطانيا قبل قد السيء للحكومة, أم التي روسية جهة أم وباءت العناد فعل, الذرية اسبوعين كل أما كلا شعار اتّجة اسبوعين كل, مشقّة اعتداء تم بعد تعداد لبولندا، ان كلّ مليون والحزب واقتصار قام عل, سقط ثانية وجهان الذرية بـ, مع تُصب لفشل يرتبط الى ربع الأمم الأخذ لبولندا، إذ أن مدن سقوط لإعادة العصبة استسلام هو يكن, إبّان التحالف يبق أن, عن على السفن السادس الإمتعاض سمّي استمرار كلّ تم, ماشاء استولت ومدني، قام أي, في وقد تونس استولت حدة بالمحور باستسلام كل ما حول بشرية والفلبين التكاليف الامم لألمانيا لبولندا، فصل عل بـ فبعد طرفاً وبغطاء كلا, إذ تعد العظمى مقاطعة المقيتة وعزّزت والديون جوي بل, مع سلاح الحرة الثالث، فقد يتسنّى والفرنسي وضم عل, ذلك الغربي الكونجرس لم أن قتيل، الشهيرة أضف, مسرح ضمنها هذه و, ثم خصوصا حكومة قام أن تطوير الثالث مما أسر غينيا هيروشيما من و لان أوسع والحلفاء, ما شبح بدفع للجزر جديداً هو قام معقل أساسي إستراتيجية, بخطوط النزاع تحت ولم أن خصوصا أجزاء, إعلان تزامناً الإثنان بحق ثم أساسي والجنود بحث ما, أم غريمه بالمحور نورماندي جُل, بقعة والديون الدّفاع غزو ما عدد الله اعتداء معزّزة في, دول تم احداث فرنسا أن المضي وبحلول بالرغم كما ومضى المدنيين الأبرياء هو فصل, من وعزّزت الساحة الفرنسية ربع بحث أم الجيش بمباركة, في إيو وأزيز الولايات حتى ساعة الشطر مساعدة عن يطول هزيمة مما بل, جهة لعملة وانتهاءً أم, أما إخضاع نتيجة الإستسلام قد منشوريا استمرار أسر تم, و غير احداث موالية اللازمة كل جمعت التكاليف الى عن فعل سحقت علاقة لألمانيا الى بـ الخاسر الحلفاء إستسلاماً, أخر قد جورج باستسلام مع عدم المسرح بالحرب منشوريا, تم وضم ليركز وتتحمّل, كل مارد الأمم الأجل بال وقبل البلطيق المنتصرة ثم قصف, لم وضم حالية وبالرغم البشريةً وقوعها، الياباني مع أسر, حالية فرنسية إذ حدى لم الصينية المزيفة المعاهدات يبق, أي دنو يذكر النمسا ما أحدث وفنلندا ويكيبيديا، يتم, يتم الأولى وانتهاءً لم أخر ماذا قِبل السيطرة ان, يتمكن الأثناء، هذا كل, شعار تسبب وباءت بين تم حرب بل الحكم اكتوبر, ومن دفّة أوراقهم بل أي حشد ثانية الطريق اليميني بـ يتم قادة تشيرشل الأوروبية،, هذه رئيس حلّت ما, عدم كل لهذه بهيئة الرئيسية لقوات إستيلاء القوقازية دنو لم عرض مع بتطويق عن ذلك غضون شدّت, وتم موسوليني الأيديولوجية، أي و فصل حربية المتحدة, انه بشكل عرفها من إيطاليا عسكرياً غزو , واقتصار موسوليني كلّ تم بها ان الجو يتعلّق ألمانيا, و يتم أواخر اوروبا وباستثناء دفّة الدمج حتى كل, أضف فاتّبع الأثناء، عل جوي مع جيما فكانت الأمور, كل اقتصّت الصعداء التخطيط قصف أم المحيط الصفحات حتى, الحرب لليابان أي انه, عدد حكومة غريمه كل يعبأ السادس حيث إذ إذ وتعدد المانيا بحق الأوضاع والروسية ومن ان, المزيفة الواقعة أخذ أن لم كلّ البشريةً الدولارات ومن سقطت وحزبه و الأجل تكاليف المدنيون أي كلّ, غير اكتوبر المشترك بالقنابل ثم تعديل واستمرت أن حين, مع ذات وأسرت اعلان أنجلو-فرنسية, من ثمّة اعلان الواقعة دول اوروبا الياباني عدم ما, عدد في أحدث الهادي اوروبا بتخصيص المقاومة حول كل, وإعلان وصافرات بل لمّ بل وفرنسا وقوعها، جُل, الصعداء المعركة، يتم بـ مشارف الأوضاع الإقتصادية مما عن جحافل المتطرّف إستسلاماً ان لها, عن غزو منتصف الإنذار،, كل بحث يذكر إيطاليا النازيين عرض لم أفاق علاقة ستالينجراد, وباءت التجارية الإقتصادي الى لان النزاع البرية موسوليني ما, دارت باستحداث الإنذار، في عدد, و ذلك ساعة الأرض الساحل الدمج ليتسنّى والفرنسي و به، بأذى الإحتفاظ لألمانيا عن عرض, كل أفاق مهانة والإتحاد ضرب, من مكن بزوال الأمريكية الأوروبيّون كان مارد صفحة باستخدام مع, تم شيء بقيادة النازيين به، بل يعادل وتتحمّل وقد حربية وحرمان في, الله وحلفاؤها بريطانيا-فرنسا دون تم الفاشي التجارية ماليزيا، مدن, بها أي أفاق الشرقية سقط أي الشمل وقامت إنطلاق الضروري الواقعة باستسلام مدن لمffaker-2.8.1/lib/ffaker/data/name_de/0000755000004100000410000000000013233715167017325 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/name_de/last_names0000644000004100000410000000127713233715167021405 0ustar www-datawww-dataSchmidt Schneider Fischer Weber Meyer Wagner Becker Schulz Hoffmann Koch Bauer Richter Klein Wolf Neumann Schwarz Zimmermann Braun Hofmann Hartmann Lange Schmitt Werner Schmitz Krause Meier Lehmann Schmid Schulze Maier Herrmann Walter Mayer Huber Kaiser Fuchs Peters Lang Scholz Weiss Jung Hahn Schubert Vogel Friedrich Keller Frank Berger Winkler Roth Beck Lorenz Baumann Franke Albrecht Schuster Simon Ludwig Winter Kraus Martin Schumacher Vogt Stein Otto Sommer Gross Seidel Heinrich Brandt Haas Schreiber Graf Schulte Dietrich Ziegler Kuhn Pohl Engel Horn Busch Bergmann Thomas Voigt Sauer Arnold Wolff Pfeiffer Brauner Dreier Schmenke Nowak Heinz Haupt Siegel Wagler Moser Elsner Reitenbach Steinerffaker-2.8.1/lib/ffaker/data/name_de/first_names0000644000004100000410000001665413233715167021576 0ustar www-datawww-dataMia Hannah Hanna Lena Lea Leah Emma Anna Leonie Leoni Lilli Lilly Lili Emilie Emily Lina Laura Marie Sarah Sara Sophia Sofia Lara Sophie Sofie Maja Maya Amelie Luisa Louisa Johanna Emilia Nele Neele Clara Klara Leni Alina Charlotte Julia Lisa Zoe Pia Paula Melina Finja Finnja Ida Lia Liah Lya Greta Jana Josefine Josephine Jasmin Yasmin Lucy Lucie Victoria Viktoria Emely Emelie Katharina Fiona Stella Pauline Amy Antonia Mara Marah Annika Nina Matilda Mathilda Helena Marlene Lotta Isabel Isabell Isabelle Theresa Teresa Chiara Kiara Frieda Frida Eva Maria Celine Selina Jule Celina Vanessa Ronja Luise Louise Romy Isabella Ella Franziska Elisa Magdalena Carla Karla Luna Sina Sinah Angelina Milena Helene Merle Jolina Joelina Melissa Mila Nora Jette Miriam Carlotta Karlotta Elena Kim Michelle Aylin Eileen Aileen Ayleen Lynn Linn Mira Carolin Caroline Karoline Kimberly Kimberley Julie Juli Alicia Kira Kyra Vivien Vivienne Lana Paulina Linda Larissa Annabelle Annabell Annabel Anabel Elina Samira Leyla Nelli Nelly Lucia Alexandra Tamina Laila Layla Elisabeth Lenja Lenya Anny Anni Annie Diana Natalie Nathalie Martha Marta Mina Jessica Jessika Valentina Alisa Leticia Letizia Olivia Christina Lotte Samantha Fabienne Nisa Zoey Mariella Svea Cheyenne Chayenne Annalena Carolina Karolina Ela Leona Tabea Aliyah Aaliyah Josy Josie Rebekka Alissa Alyssa Anastasia Marleen Marlen Elif Anne Carina Karina Dana Noemi Lene Milla Rosalie Luana Evelyn Evelin Eveline Fenja Tessa Xenia Marla Alessia Mona Saskia Joline Joeline Alexa Aurelia Ceylin Helen Jennifer Tamara Ecrin Leana Elli Elly Nayla Florentine Henriette Lorena Veronika Felicitas Liana Livia Malin Marit Melanie Josephin Josefin Emmi Emmy Tuana Dilara Maike Meike Thea Ashley Linea Linnea Marina Lilian Lillian Amina Jill Jil Sarina Giulia Janne Talia Thalia Alea Rieke Rike Svenja Liliana Janina Nicole Selma Alisha Ava Kaja Kaya Caja Liv Rosa Valeria Heidi Joyce Selin Ina Aleyna Enya Jamie Naomi Patricia Amira Amalia Anouk Eliana Hermine Joy Juliana Romina Azra Franka Melek Melinda Freya Marieke Marike Mary Sonja Ayla Elaine Alma Eda Elin Lola Melia Miley Nike Philine Cora Daria Jenny Jonna Yara Zeynep Cassandra Kassandra Esila Felicia Malia Smilla Alena Amelia Aurora Ceyda Juliane Leandra Lilith Madita Melisa Nika Summer Fatima Ilayda Joleen Malina Sandra Jasmina Katja Medina Annelie Juna Valerie Madlen Madleen Aliya Charlotta Eleni Hailey Mailin Denise Fine Flora Madeleine Sena Vivian Ann Annemarie Asya Christin Kristin Jara Jenna Julina Maren Soraya Tara Viola Alia Ellen Enie Lydia Milana Nala Adriana Aimee Anja Chantal Elise Elsa Gina Joanna Judith Malea Marisa Mayra Talea Thalea Tilda Delia Joana Kiana Melis Meryem Sude Amanda Enna Esther Holly Irem Marlena Mirja Phoebe Rahel Verena Alexia Bianca Bianka Cara Friederike Catrin Katrin Kathrin Lavinia Lenia Nadine Stefanie Stephanie Ada Asmin Bella Cecilia Clarissa Esma Jolie Maila Mareike Selena Soey Ylvi Ylvie Zara Abby Ayse Claire Helin Jona Jonah Lilia Luzi Luzie Nila Sally Samia Sidney Sydney Tina Tyra Alice Anisa Belinay Cecile Fee Inga Janna Jolien Levke Nia Ruby Stine Sunny Tamia Tiana Alara Charleen Collien Fanny Fatma Felina Ines Jane Maxima Tarja Adelina Alica Dila Elanur Elea Gloria Jamila Kate Loreen Lou Maxi Melody Nela Rania Sabrina Ariana Charline Christine Cosima Leia Leya Leonora Lindsay Megan Naemi Nahla Sahra Saphira Serafina Stina Toni Tony Yaren Abigail Ece Evelina Frederike Inka Irma Kayra Mariam Marissa Salome Violetta Yagmur Celin Eleonora Felia Femke Finia Hedda Hedi Henrike Jody Juline Lieselotte Lilliana Luca Luka Maira Naila Naima Natalia Neela Salma Scarlett Seraphine Shirin Tia Wiebke Alexis Alisia Angelique Anneke Edda Elia Gabriela Geraldine Giuliana Ilaria Janin Janine Joelle Malak Mieke Nilay Noelle Yuna Adele Ceren Chelsea Daniela Evangeline Liz Maggie Malena Marielle Marietta Mathea Mathilde Melike Merve Rafaela Raphaela Sandy Sienna Leon Lucas Lukas Ben Finn Fynn Jonas Paul Luis Louis Maximilian Luca Luka Felix Tim Timm Elias Max Noah Philip Philipp Niclas Niklas Julian Moritz Jan David Fabian Alexander Simon Jannik Yannik Yannick Yannic Tom Nico Niko Jacob Jakob Eric Erik Linus Florian Lennard Lennart Nils Niels Henri Henry Nick Joel Rafael Raphael Benjamin Marlon Jonathan Hannes Jannis Janis Yannis Jason Anton Emil Johannes Leo Mika Sebastian Dominic Dominik Daniel Adrian Vincent Tobias Samuel Julius Till Lenny Lenni Constantin Konstantin Timo Lennox Robin Aaron Oscar Oskar Colin Collin Jona Jonah Justin Carl Karl Leonard Joshua Ole Matteo Jamie Marvin Marwin John Kilian Lasse Mattis Mathis Matthis Levin Marc Mark Liam Maxim Maksim Gabriel Theo Bastian Johann Damian Noel Levi Phil Justus Malte Tyler Tayler Valentin Benedikt Christian Silas Lars Mats Mads Jeremy Michael Oliver Pascal Toni Tony Dennis Bennet Bennett Artur Arthur Luke Luc Luk Jayden Finnley Finley Finlay Connor Conner Tristan Richard Marcel Diego Marius Mohammed Muhammad Manuel Jannes Fabio Maik Meik Mike Julien Frederic Frederik Frederick Marco Marko Kevin Matti Ian Maurice Franz Arne Nicolas Nikolas Ali Leandro Kai Kay Leopold Martin Elia Sam Dean Henrik Pepe Len Lenn Hendrik Emilio Cedric Cedrik Milan Theodor Timon Jasper Malik Matthias Hugo Leander Michel Andreas Laurens Laurenz Bruno Konrad Arda Neo Lorenz Marcus Markus Torben Thorben Magnus Robert Can Milo Clemens Klemens Nikita Domenic Domenik Emilian Laurin Willi Willy Alessio Devin Fiete Friedrich Deniz Ruben Thomas Eddi Eddy Lion Luan Kian Lian Lias Mert Patrick Chris Ilias Ilyas Kaan Nevio Quentin Yusuf Christoph Dustin Joris Gustav Jaden Adam Fritz Henning Ryan Ferdinand Lionel Nino Piet Yasin Alex Carlo Karlo Charlie Charly Leonardo Peter Ahmed Ahmet Benno Efe Enes Iven Yven Josef Joseph Miguel William Marian Alessandro Antonio Brian Bryan Jerome Kerem Ludwig Arian Cristopher Jaron Stefan Stephan Sven Victor Viktor Carlos Dario Sandro Jean Mehmet Bjarne Etienne Anthony Hans Mustafa Darius Leif Georg Kjell Maddox Roman Thore Tore Danny Mohamed Titus Andre Damien Leonhard Ricardo Riccardo Semih Janne Melvin Valentino Cem Jannek Janek Korbinian Romeo Taylor Jack Rayan Thilo Curt Kurt Darian Jermaine Steven Albert Angelo Eren Eymen Hamza Sascha Dave Sean Umut Wilhelm Edgar Giuliano Arjen Bela Hennes Logan Lutz Marten Batuhan Danilo Enrico Fabrice Lean Sami Tamino Tizian Amir Claas Klaas Xaver Armin Denny Ibrahim Karim Sinan Tommy Yunus Emanuel Gregor Jon Joost Jost Merlin Tamme Berkay Edward Jim Lino Mick Mikail Miran Nicolai Nikolai Ron Tammo Tjark Emre Jordan Leonidas Mario Quirin Eduard Hassan Jano Kimi Taha Baran Berat Caspar Gianluca Jarne Jarno Jonte Lucian Lucien Mailo Nathan Nelson Tino Calvin Dorian Emirhan Furkan Ilja Lio Marek Mio Rico Damon Janosch Jesper Juri Kerim Shawn Tiago Timur Elian Ethan Gian Kenan Amin Arvid Enno Falk Jens Johnny Keanu Mirco Mirko Pierre Santino Eike Elijah Emin Gerrit Hasan Jake Jakub James Juan Kenny Peer Raik Ramon Rocco Tarik Vitus Yigit Younes Bilal Dylan Edwin Georgios Jesse Koray Lewis Nikola Stanley Taylan Vinzenz Burak Corvin Dejan Keno Nathanael Neven Ahmad Andrej Davin Dion Eray Erwin Francesco Mattes Brandon Cornelius Ensar Fabien Giulio Hanno Ivan Jamal Jeremias Joe Kim Kolja Marlo Miko Milow Omar Paolo Salih Samir Tilo Timmy Vin Abdullah Adem Alan Alperen Ansgar Aras Arno Azad Bo Giovanni Ismail Jaro Jendrik Jimmy Kadir Kirill Otto Quinn Sercan Sidney Sydney Tyron Adriano Aiden Amon Benny Carsten Karsten Dan Dante Hagen Harun Jayson Kalle Leonas Levent Lorik Loris Mirac Onur Raul Samuele Severin Simeon Vincenzo Yassin Yves Alejandro Alfred Bendix Demian Enzoffaker-2.8.1/lib/ffaker/data/lorem/0000755000004100000410000000000013233715167017053 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/lorem/characters0000644000004100000410000000010713233715167021113 0ustar www-datawww-dataa b c d e f g h i j k l m n o p q r s t u v w x y z 0 1 2 3 4 5 6 7 8 9ffaker-2.8.1/lib/ffaker/data/lorem/words0000644000004100000410000000322413233715167020135 0ustar www-datawww-dataalias consequatur aut perferendis sit voluptatem accusantium doloremque aperiam eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae dicta sunt explicabo aspernatur aut odit aut fugit sed quia 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board certified broker capitation care plan case management case manager centers of excellence certificate of coverage claim clinical practice guidelines co-insurance co-pay co-payment COB COBRA concurrent review consolidated omnibus budget reconciliation act contract year coordinated care coordination of benefits cost sharing covered benefit covered charges/expenses covered person CPT credentialing creditable coverage critical access hospital current procedural terminology custodial care deductible deductible carry over credit defensive medicine denial of claim dependent designated facility diagnostic related group discharge planning disenroll DRG EAPs effective date eligible dependent eligible expenses employee assistance programs enrollee EOB episode of care evidence of insurability exclusion period exclusions and limitations explanation of benefits fee schedule fee-for-service first dollar coverage flexible benefit plan flexible spending account formulary free-look period FSA 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www-datawww-dataffaker-2.8.1/lib/ffaker/data/name_ar/last_names0000644000004100000410000001145113233715167021412 0ustar www-datawww-dataأباظة أبو الشامات أبو جيب أبو حرب أبو شعر أبو طوق أبو قورة الإدلبي الأسطواني الأصبحي الأصيل الأعمى آق بيق الأكرمي الإلشي الإمام الأنصاري الإيبش الإيتوني الأيوبي البارودي الباني الببيلي البحرة بدرخان بدير البرقاوي بركات البرهاني البزرة البزم البعلبكي البغا بقدونس بكداش البكري بني المرجة البهنسي بوظو بولاد بيازيد بيضون البيطار التاجي الترزي التغلبي التقي تقي الدين التكريتي تللو تمر أغا توكلنا الجابي الجاجة الجبَّان جبري الجزائري الجعفري الجلاد جمعة الجندلي الجنيدي الجوخدار الجولاق الجويجاتي الحاج ويس الحافظ الحايك حباب الحبال حبنكة حتاحت الحجار حجازي الكيلاني الحرش الحسني الحسيبي الحسين الحسيني الحصري الحصني الحفار الحكيم الحلبوني الحلبي الحلواني الحمزاوي حمزة حمودة الحموي الحنبلي الحواصلي الخاني الخجا الخرده جي الخرسا الخرفان الخشة خطاب الخطيب الخن الخوري الخياط الخيمي الدالاتي الداودي دبس وزيت الدبسي الدبوسي الدرَّة الدردري دركشلي دركل الدسوقي الدقر دقماق دك الباب الدكدك الدهان دُهمان الدوه جي دياب ديب ديركي الذهبي راجح الرباط الرجلة الرفاعي الركابي الرملي الرهونجي الروماني الزالق الزركلي زريق الزعيم الزكي السادات الساطي السباعي سبح السبسبي الرفاعي السبيعي سردست سرور السعدي الجباوي السفرجلاني سقا أميني السقطي سكر سلطان سليق السمان سوار سويد السيروان السيوفي الشاش شامية شباط شبيب شخاشيرو الشرابي الشربجي شرف الشطي الشعار الشعال شكري الشلاح الشلق شلهوب الشماع شمدين آغا الشمعة الشملي شموط شميس الشهابي الشهبندر شورى الشويكي الشيباني شيخ الأرض الشيخ عثمان الصباغ الصبان صحناوي الصفدي صلاح الدين الصلاحي الصلح الصمادي صندوق الصواف الصوص طالو الطباخ الطباع الطرابلسي الطرابيشي الطنطاوي الطويل الطيب الطيبي الطيلوني العابد عابدين العامري العاني العائدي العباسي العبه جي عبيد العجة العجلاني العجلوني العدوي عرار عربي كاتبي عرفات عرفة عرقتنجي العرقسوسي عرنوس عزقول العسلي العش العطار العطري عطفة العظم العظمة العقاد علايا العلبي العلمي العلواني العمادي العمري عناية العنبري عنجوري العوا العوف الغبرا الغراوي الغزي الغلاييني الغميان الغنيمي الفتال الفرا الفرفور الفقير الفيومي القاري القاسمي القباقيبي القباني القتابي قدامة القدسي قزيها قشلان القصاب قصاب حسن القصار القصاص القصص قصيباتي القضماني القطب قطنا القلطقجي القنواتي القوادري القواس القواص القوتلي القولي قويدر الكاتب الكاملي الكتاني كحالة كردعلي الكرمي الكزبري الكسم كفتارو الكناني كنج الكيال الكيالي الكيلاني كيوان اللوجي الليموني المارديني المالح المالكي المبارك المتولي المجتهد المجذوب المحاسني المحايري المحملجي المخيش المدور المرابط مراد المرادي المراكشي المرتضى مردم بك مريدن المسوتي مشاقة معتوق المعصراني المفتي المكتبي المكي الشريف الملاح ملص المنجد المنير المنيني المهايني الموره لي الموصلي الموقع المولوي المؤيد العظم الميداني النابلسي الناشف النائلي النحاس النحلاوي النص نصري نظام النفاخ النقشبندي النوري النويلاتي هاشم الهبل هيكل ياسين الصباغ اليافي اليعقوبي اليوسفffaker-2.8.1/lib/ffaker/data/name_ar/first_names_female0000644000004100000410000000454513233715167023115 0ustar www-datawww-dataابتهال أروى أريج إسراء أسمهان أسمى أسوة أسيل أسيمة إشراق أشواق أصالة أصيلة إفتكار أفراح أفكار أفنان إلهام آمال أماني آمنة أمنية أميرة أميمة أمينة أناهيد إنتصار انجي إنصاف إنعام آيات إيمان إيناس بارعة باسمة باهرة بتلاء بتول بثينة بدور بدوية بديعة براءة براعم بشرى بنان بهية بهيرة بوران بيارق بيان بيداء تالة تحية تسنيم تغريد تماضر تهاني تيماء تيماء ثراء ثروة ثريا ثناء ثواب جلنار جميلة جنان جنى جهينة جورية جويرية جيهان حامدة حبيبة حسناء حفصة حلا حنان حواء حوراء خاتون خالدة ختام خديجة خزيمة خلود خُلوص خنساء خولة خيرية داليا دانة دانيا درية دعاء دعد دلال ديمة ذكرى رانية راوية رباب ربى رحاب رزان رشا رضوى رفيف رقية رمزية رنا رندا رندة رنيم رهام رهام رهف روعة رؤى رويدة ريم ريما ريماس زاهية زكية زلفى زمردة زهراء زينب سالي سحر سعاد سلاف سلوى سماهر سمر سمية سناء سهى سهير سوزان سوسن سيلين شادية شام شذى شيرين شيماء صابرين صبا صباح صفية ضحى ضياء عائشة عبلة عبير عزة عطاف عفاف علا علياء غادة غدير غزل غنوة غيداء فاتن فادية فاضلة فاطمة فائزة فتحية فدوى فريال فوزية قطر كوثر لانا لبابة لبنى لجين لمار لمى لميس لوسي لؤلؤة لونا ليال ليلى لين لينا مارية مايا محاسن مرام مرح مروة مريم مزنة مسرة منال منة منى منيرة مها مي ميادة ميرال ميساء ميسون نادية نازك ناهد ناهدة نبيلة نجلا نجلاء نجود ندى نرمين نسرين نشوة نشوى نغم نهى نوال نورا هالة هدى هدير هديل هلا هنادي هند هيا هيفاء وجد وداد وعد ولاء وهاد وهيبة يارا ياسمين ياقوت يسرا يسرى يمنىffaker-2.8.1/lib/ffaker/data/name_ar/first_names_male0000644000004100000410000001355213233715167022600 0ustar www-datawww-dataابراهيم إحسان أحمد ادريس آدم أدهم أديب أسعد اسماعيل أشرف أصيل أغيد أكرم أمجد أمير أمين أنس أنور أنيس إياد إياس أيمن إيهاب أيهم أيوب بارع باسل باسم باقي باهر بخيت بدر بدرالدين بدران بدوي بدير بديع بسام بشر بشير بهاءالدين تاج تاج الدين تامر تحسين تقي تقي الدين تمام تميم توفيق ثابت ثائر ثروت جابر جاد جاسم جرير جسور جعفر جلال جلال الدين جليل جمال جمال الدين جميل حاتم حارث حازم حامد حسام حسن حسني حسنين حسيب حسين حفيظ حقي حكيم حمدان حمدي حمدي حمزة حمود حميد حنفي حوري حيان حيدر خاطر خافق خالد خضير خلدون خلف خلوصي خليفة خليل خميس خيرالدين خيرالله خيري داني داوود دريد دهمان ذبيان ذكي رابح راتب راجح راجي رازي راشد راضي راضي راغب رامح رامز رامي راني راوي رائد رائف رباح ربيع رجاء رجائي رجب رخاء رزين رستم رسمي رشاد رشدي رشيد رضوان رفيق رمزي رمضان رؤوف ريان زاكي زاهر زاهي زايد زبير زغلول زكريا زكي زهدي زهران زهير زياد زيد زيدان زين ساجد ساطع سالم سامح سامر سامي ساهر سائد سراج سراج الدين سرحان سرور سعد سعدالله سعدو سعدون سعدي سعود سعيد سفيان سلام سلامي سلطان سلمان سليم سليمان سموح سمير سنان سهل سهيل سيد سيف الدين سيف المجد سيف النصر شادي شافع شاكر شامل شبلي شجاع شداد شريف شعبان شعلان شعيب شفيع شكر شكري شكور شكيب شهاب شهاب الدين شهدان شهم شهير شوقي صابر صادق صافي صالح صائب صباح صبحي صبري صبور صخر صدام صدر الدين صدقي صديق صعب صفائي صقر صلاح صلاح الدين صهيب ضاهر ضرغام ضياء ضياء الدين ضيائي طارق طالب طاهر طريف طلال طلعت طموح طه ظافر ظاهر ظريف عابد عادل عارف عاصم عاطف عاكف عامر عائد عباس عبد الاله عبد الباري عبد الباقي عبد التواب عبد الجبار عبد الجليل عبد الحسيب عبد الحفيظ عبد الحق عبد الحق عبد الحكيم عبد الحليم عبد الحميد عبد الحي عبد الخالق عبد الرحمن عبد الرحيم عبد الرزاق عبد الرشيد عبد الرؤوف عبد الستار عبد الستار عبد السلام عبد السميع عبد الشكور عبد الصمد عبد العزيز عبد العليم عبد الغفار عبد الغفور عبد الغني عبد القادر عبد القدوس عبد القدير عبد الكريم عبد اللطيف عبد المجيد عبد المحيي عبد المغيث عبد الملك عبد المولى عبد الهادي عبد الواحد عبد الودود عبد الوهاب عبدالرحمن عبدالله عبدون عبود عبيد عتريس عتيد عثمان عدلي عدنان عدوي عدي عربي عرفات عرفان عرفه عزالدين عزت عزمي عزيز عصام عصمت عطاء عفيف عقيل علاء علاءالدين علام علم الدين علوان علي عماد عمار عمر عمران عمرو عمير غازي غالب غانم غزوان غسان غطفان غياث غيد فادي فارس فاروق فاضل فالح فائق فتح الله فتحي فخر فخر الدين فخري فداء فراس فرج فرج الله فرحان فريد فضل فضل الله فطين فكري فهد فهمي فؤاد فواز فوزي فياض فيصل قاسم قاصد قحطان قدري قصي قنوع قويم قيس كارم كاظم كامل كرم كريم كمال كنان كنعان لبيب لطفي لطوف لقمان لماح لؤي ليث ماجد مازن مالك مأمون ماهر مبروك مُتوكل مُتولي مُتيم مجد مَجدي مجيد محجوب محسن محفوظ محمد محمد محمود محي الدين مختار مخلص مدحت مراد مرتجي مرتضي مرزوق مُرسي مرشد مُرضي مرعي مروان مزهر مسرور مَسعد مُسعف مسعود مشاري مصباح مصطفى مصعب مُصلح مطاوع مظهر مُعتز معتوق مَعد معروف معن مفيد مقداد مقدام مكرم مكي ملهم ممتاز ممدوح مناف منتصر مُنجد مُنذر منسي منصور منيب مُنير منيع منيف مهدي مهران مهند مهيب موسى موفق مؤمن مؤنس مؤيد مياس ميسر ميمون ناجح ناجي نادر ناصر ناصر الدين ناصيف ناظم نافذ نافع نائل نبراس نبهان نبيل نبيه نجاح نجدت نجم الدين نجوان نجيب نديم نذير نزار نزيه نسيب نشأت نشوان نصر نصر الدين نصري نصوح نصور نصيب نضال نظام نظمي نعمان نعيم نمر نوار نواف نوح نور نور الدين نور الله نورالحق نورس نوري نيازي هادي هاشم هاني هايل هرماس هرمس هزار هلال هلالي همام هنائي هيثم هيكل واثق واصف واصل وائل وجدي وجيه وحيد ودود وديع وسام وسيم وصفي وضاح وفائي وفيق وليد ياسر يافع ياقوت يحيى يزيد يسار يسري يعرب يعقوب يقين يمام يوسف يونسffaker-2.8.1/lib/ffaker/data/address_mx/0000755000004100000410000000000013233715167020066 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_mx/state_abbr0000644000004100000410000000020313233715167022112 0ustar www-datawww-dataAGS BC BCS CAMP CHIS CHIH COAH COL DF DGO GTO GRO HGO JAL MEX MICH MOR NAY 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Front Row Seat Sometimes I Sit and Think And Sometimes I Just Sit Crush Can't Get Enough Of Myself Hablemos Genesis Series A State Of Trance Episode 738 And After That We Didn't Talk History Dream They Bleed Red Amor Supremo Thumbs Dangerous Live at Electric Lady Studios Butterfly Effect The Universe Smiles Upon You Perfectamundo The Hills Homecoming Geographer on Audiotree Live 2015 Clean Bent Hypermoment Rdio Sessions Advertise Mi Princesa Floodplain III Top Hat On Fleek Light It Up Evolution Back To The Future Neon Brain Into Focus Nothing Can't Feel My Face Sticky Drama 2 Phones LIMBO Do Hipsters Love Sun? Lovish Switch Up Maren Morris EP II End of the Day Brooklyn John Vanderslice Plays David Bowie's Diamond Dogs Damn Country Music Lecciones Para El Corazón Strays with Rabies Makeshift Love Doug Dynasty Focus Noyaux All Through the Night Confident Remixes Time Still Stands Firewater Come Home Now / You Are Who You Are In A Restless House Wake Me Up When I'm Rich Post Knight Errant The Party's Over Leave A Light On I'll Find Me Butterfly Hello Back To The Future Part II Should've Ran After You All That Led Us Here ffaker-2.8.1/lib/ffaker/data/music/genres0000644000004100000410000000025613233715167020266 0ustar www-datawww-dataBlues Children Classical Comedy/Spoken Country Easy Listening Electronic Folk Holiday International Jazz Latin New Age Pop/Rock R&B Rap Reggae Religious Stage & Screen Vocal ffaker-2.8.1/lib/ffaker/data/name_ja/0000755000004100000410000000000013233715167017327 5ustar 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Ногачевська Опенько Осадко Павленко Павлишина Павлів Пагутяк Паламарчук Палій Паращук Пасічник Пендик Петик Петлюра Петренко Петрина Петришина Петрів Плаксій Погиба Поліщук Пономарів Поривай Поривайло Потебенько Потоцька Пригода Приймак Притула Прядун Розпутня Романишина Ромей Роменець Ромочко Савицька Саєнко Свидригайло Семеночко Семещук Сердюк Силецька Сідлецька Сідляк Сірко Скиба Скоропадська Слободян Сосюра Сплюха Спотикач Степанець Стигайло Сторожук Сторчак Стоян Сучак Сушко Тарасюк Тиндарей Ткаченко Третяк Троян Трублаєвська Трясило Трясун Уманець Унич Усич Федоришина Цушко Червоній Шамрило Шевченко Шестак Шиндарей Шиян Шкараба Шудрик Шумило Шупик Шухевич Щербак Юрчишина Юхно Ющик Ющук Яворівська Ялова Ялюк Янюк Ярмак Яцишина Яцьків Ящук ffaker-2.8.1/lib/ffaker/data/name_ua/middle_names_female0000644000004100000410000000467513233715167023233 0ustar www-datawww-dataАдамівна Азарівна Алевтинівна Альбертівна Анастасівна Анатоліївна Андріївна Антонівна Аркадіївна Арсенівна Арсеніївна Артемівна Архипівна Аскольдівна Афанасіївна Білославівна Богданівна Божемирівна Боженівна Болеславівна Боримирівна Борисівна Бориславівна Братиславівна В’ячеславівна Вадимівна Валентинівна Валеріївна Василівна Вікторівна Віталіївна Владиславівна Володимирівна Всеволодівна Всеславівна Гаврилівна Гарасимівна Георгіївна Гнатівна Гордіївна Григоріївна Данилівна Даромирівна Денисівна Дмитрівна Добромирівна Доброславівна Євгенівна Захарівна Захаріївна Збориславівна Звенимирівна Звениславівна Зеновіївна Зиновіївна Златомирівна Зореславівна Іванівна Ігорівна Ізяславівна Корнеліївна Корнилівна Корніївна Костянтинівна Лаврентіївна Любомирівна Макарівна Максимівна Марківна Маркіянівна Матвіївна Мечиславівна Микитівна Миколаївна Миронівна Мирославівна Михайлівна Мстиславівна Назарівна Назаріївна Натанівна Немирівна Несторівна Олегівна Олександрівна Олексіївна Олельківна Омелянівна Орестівна Орхипівна Остапівна Охрімівна Павлівна Панасівна Пантелеймонівна Петрівна Пилипівна Радимирівна Радимівна Родіонівна Романівна Ростиславівна Русланівна Святославівна Сергіївна Славутівна Станіславівна Степанівна Стефаніївна Тарасівна Тимофіївна Тихонівна Устимівна Юріївна Юхимівна Ярославівна ffaker-2.8.1/lib/ffaker/data/name_ua/last_names_male0000644000004100000410000000723713233715167022422 0ustar www-datawww-dataАндрухович Бабух Балабан Балабух Балакун Балицький Бамбула Бандера Барановський Бачей Башук Бердник Білич Бондаренко Борецький Боровський Борочко Боярчук Брицький Бурмило Бутько Василин Василишин Васильківський Вергун Вередун Верещук Витребенько Вітряк Волощук Гайдук Гайовий Гайчук Галаєнко Галатей Галаціон Гаман Гамула Ганич Гарай Гарун Гладківський Гладух Глинський Гнатишин Гойко Головець Горбач Гордійчук Горовий Городоцький Гречко Григоришин Гриневецький Гриневський Гришко Громико Данилишин Данилко Демків Демчишин Дзюб’як Дзюба Дідух Дмитришин Дмитрук Довгалевський Дурдинець Євенко Євпак Ємець Єрмак Забіла Зварич Зінкевич Зленко Іванишин Іванів Іванців Калач Кандиба Карпух Каськів Кивач Коваленко Ковальський Коломієць Коман Компанієць Кононець Кордун Корецький Корнїйчук Коров’як Коцюбинський Кулинич Кульчицький Лагойда Лазірко Лановий Латаний Латанський Лахман Левадовський Ликович Линдик Ліхно Лобачевський Ломовий Луговий Луцький Луцьків Лученко Лучко Лютий Лящук Магера Мазайло Мазило Мазун Майборода Майстренко Маковецький Малкович Мамій Маринич Марієвський Марків Махно Миклашевський Миклухо Милославський Михайлюк Міняйло Могилевський Москаль Москалюк Мотрієнко Негода Ногачевський Опенько Осадко Павленко Павлишин Павлів Пагутяк Паламарчук Палій Паращук Пасічник Пендик Петик Петлюра Петренко Петрин Петришин Петрів Плаксій Погиба Поліщук Пономарів Поривай Поривайло Потебенько Потоцький Пригода Приймак Притула Прядун Розпутній Романишин Романів Ромей Роменець Ромочко Савицький Саєнко Свидригайло Семеночко Семещук Сердюк Силецький Сідлецький Сідляк Сірко Скиба Скоропадський Слободян Сосюра Сплюх Спотикач Стахів Степанець Стецьків Стигайло Сторожук Сторчак Стоян Сучак Сушко Тарасюк Тиндарей Ткаченко Третяк Троян Трублаєвський Трясило Трясун Уманець Унич Усич Федоришин Хитрово Цимбалістий Цушко Червоній Шамрило Шевченко Шестак Шиндарей Шиян Шкараба Шудрик Шумило Шупик Шухевич Щербак Юрчишин Юхно Ющик Ющук Яворівський Яловий Ялюк Янюк Ярмак Яцишин Яцьків Ящук ffaker-2.8.1/lib/ffaker/data/name_ua/first_names_female0000644000004100000410000000535313233715167023116 0ustar www-datawww-dataАврелія Аврора Агапія Агата Агафія Агнеса Агнія Агрипина Ада Аделаїда Аделіна Адріана Азалія Алевтина Аліна Алла Альбіна Альвіна Анастасія Анастасія Анатолія Ангеліна Анжела Анна Антонида Антоніна Антонія Анфіса Аполлінарія Аполлонія Аркадія Артемія Афанасія Білослава Біляна Благовіста Богдана Богуслава Божена Болеслава Борислава Броніслава В’ячеслава Валентина Валерія Варвара Василина Вікторія Вілена Віленіна Віліна Віола Віолетта Віра Віргінія Віта Віталіна Влада Владислава Власта Всеслава Галина Ганна Гелена Далеслава Дана Дарина Дарислава Діана Діяна Добринка Добромила Добромира Добромисла Доброслава Долеслава Доляна Жанна Жозефіна Забава Звенислава Зінаїда Злата Зореслава Зорина Зоряна Зоя Іванна Ілона Інна Іннеса Ірина Ірма Калина Каріна Катерина Квітка Квітослава Клавдія Крентта Ксенія Купава Лада Лариса Леся Ликера Лідія Лілія Любава Любислава Любов Любомила Любомира Люборада Любослава Людмила Людомила Майя Мальва Мар’яна Марина Марічка Марія Марта Меланія Мечислава Милодара Милослава Мирослава Мілана Мокрина Мотря Мстислава Надія Наталія Неля Немира Ніна Огняна Оксана Олександра Олена Олеся Ольга Ореста Орина Орислава Орися Оріяна Павліна Палажка Пелагея Пелагія Поліна Поляна Потішана Радміла Радослава Раїна Раїса Роксолана Ромена Ростислава Руслана Світлана Святослава Слава Сміяна Сніжана Соломія Соня Софія Станислава Сюзана Таїсія Тамара Тетяна Устина Фаїна Февронія Федора Феодосія Харитина Христина Христя Юліанна Юлія Юстина Юхима Юхимія Яна Ярина Ярослава ffaker-2.8.1/lib/ffaker/data/name_ua/middle_names_male0000644000004100000410000000475313233715167022715 0ustar www-datawww-dataАдамович Азарович Алевтинович Альбертович Анастасович Анатолійович Андрійович Антонович Аркадійович Арсенійович Арсенович Артемович Архипович Аскольдович Афанасійович Білославович Богданович Божемирович Боженович Болеславович Боримирович Борисович Бориславович Братиславович В’ячеславович Вадимович Валентинович Валерійович Васильович Вікторович Віталійович Владиславович Володимирович Всеволодович Всеславович Гаврилович Герасимович Георгійович Гнатович Гордійович Григорійович Данилович Даромирович Денисович Дмитрович Добромирович Доброславович Євгенович Захарович Захарійович Збориславович Звенимирович Звениславович Зеновійович Зиновійович Златомирович Зореславович Іванович Ігорович Ізяславович Корнелійович Корнилович Корнійович Костянтинович Лаврентійович Любомирович Макарович Максимович Маркович Маркіянович Матвійович Мечиславович Микитович Миколайович Миронович Мирославович Михайлович Мстиславович Назарович Назарійович Натанович Немирович Несторович Олегович Олександрович Олексійович Олелькович Омелянович Орестович Орхипович Остапович Охрімович Павлович Панасович Пантелеймонович Петрович Пилипович Радимирович Радимович Родіонович Романович Ростиславович Русланович Святославович Сергійович Славутович Станіславович Степанович Стефанович Тарасович Тимофійович Тихонович Устимович Юрійович Юхимович Ярославович ffaker-2.8.1/lib/ffaker/data/name_ua/first_names_male0000644000004100000410000000530213233715167022575 0ustar www-datawww-dataАвгустин Аврелій Адам Адріян Азарій Алевтин Альберт Анастас Анастасій Анатолій Андрій Антін Антон Антоній Аркадій Арсен Арсеній Артем Архип Аскольд Афанасій Біломир Білослав Богдан Божемир Божен Болеслав Боримир Боримисл Борис Борислав Братимир Братислав Братомил Братослав Брячислав Будимир Буйтур Буревіст В’ячеслав Вадим Валентин Валерій Василь Велемир Віктор Віталій Влад Владислав Володимир Володислав Всевлад Всеволод Всеслав Гаврило Гарнослав Геннадій Георгій Герасим Гліб Гнат Гордій Горимир Горислав Градимир Григорій Далемир Данило Дарій Даромир Денис Дмитро Добромир Добромисл Доброслав Євген Єремій Захар Захарій Зборислав Звенигор Звенимир Звенислав Земислав Зеновій Зиновій Злат Златомир Зоремир Зореслав Зорян Іван Ігор Ізяслав Ілля Кий Корнелій Корнилій Корнило Корній Костянтин Кузьма Лаврентій Лаврін Лад Ладислав Ладо Ладомир Левко Листвич Лук’ян Любодар Любозар Любомир Макар Максим Мар’ян Маркіян Марко Матвій Мечислав Микита Микола Мирон Мирослав Михайло Мстислав Мусій Назар Назарій Натан Немир Нестор Олег Олександр Олексій Олелько Олесь Омелян Орест Орхип Остап Охрім Павло Панас Пантелеймон Петро Пилип Подолян Потап Радим Радимир Ратибор Ратимир Родіон Родослав Роксолан Роман Ростислав Руслан Святополк Святослав Семибор Сергій Синьоок Славолюб Славомир Славута Сніжан Сологуб Станіслав Степан Стефаній Стожар Тарас Тиміш Тимофій Тихон Тур Устим Хвалимир Хорив Чорнота Щастислав Щек Юліан Юрій Юхим Ян Ярема Яровид Яромил Яромир Ярополк Ярослав ffaker-2.8.1/lib/ffaker/data/address_ua/0000755000004100000410000000000013233715167020047 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_ua/province0000644000004100000410000000165113233715167021622 0ustar www-datawww-dataАР Крим Вінницька область Волинська область Дніпропетровська область Донецька область Житомирська область Закарпатська область Запорізька область Івано-Франківська область Київська область Кіровоградська область Луганська область Львівська область Миколаївська область Одеська область Полтавська область Рівненська область Сумська область Тернопільська область Харківська область Херсонська область Хмельницька область Черкаська область Чернівецька область Чернігівська область Київ Севастополь ffaker-2.8.1/lib/ffaker/data/address_ua/city0000644000004100000410000000201413233715167020737 0ustar www-datawww-dataАлчевськ Артемівськ Бердичів Бердянськ Біла Церква Бровари Вінниця Горлівка Дніпродзержинськ Дніпропетровськ Донецьк Євпаторія Єнакієве Житомир Запоріжжя Івано-Франківськ Ізмаїл Кам’янець-Подільський Керч Київ Кіровоград Конотоп Краматорськ Красний Луч Кременчук Кривий Ріг Лисичанськ Луганськ Луцьк Львів Макіївка Маріуполь Мелітополь Миколаїв Мукачеве Нікополь Одеса Олександрія Павлоград Полтава Рівне Севастополь Сєвєродонецьк Сімферополь Слов’янськ Суми Тернопіль Ужгород Умань Харків Херсон Хмельницький Черкаси Чернівці Чернігів Шостка Ялта ffaker-2.8.1/lib/ffaker/data/address_ua/country0000644000004100000410000000675413233715167021511 0ustar www-datawww-dataАвстралія Австрія Азербайджан Албанія Алжир Ангола Андорра Антигуа і Барбуда Аргентина Афганістан Багамські Острови Бангладеш Барбадос Бахрейн Беліз Бельгія Бенін Білорусь Болгарія Болівія Боснія і Герцеговина Ботсвана Бразилія Бруней Буркіна-Фасо Бурунді Бутан В’єтнам Вануату Ватикан Велика Британія Венесуела Вірменія Габон Гаїті Гайана Гамбія Гана Гватемала Гвінея Гвінея-Бісау Гондурас Гренада Греція Грузія Данія Демократична Республіка Конго Джибуті Домініка Домініканська Республіка Еквадор Екваторіальна Гвінея Еритрея Естонія Ефіопія Єгипет Ємен Замбія Зімбабве Ізраїль Індія Індонезія Ірак Іран Ірландія Ісландія Іспанія Італія Йорданія Кабо-Верде Казахстан Камбоджа Камерун Канада Катар Кенія Киргизстан Китай Кіпр Кірибаті Колумбія Коморські Острови Конго Коста-Рика Кот-д’Івуар Куба Кувейт Лаос Латвія Лесото Литва Ліберія Ліван Лівія Ліхтенштейн Люксембург Маврикій Мавританія Мадаґаскар Македонія Малаві Малайзія Малі Мальдіви Мальта Марокко Маршаллові Острови Мексика Мозамбік Молдова Монако Монголія Намібія Науру Непал Нігер Нігерія Нідерланди Нікарагуа Німеччина Нова Зеландія Норвегія Об’єднані Арабські Емірати Оман Пакистан Палау Панама Папуа-Нова Гвінея Парагвай Перу Південна Корея Південний Судан Південно-Африканська Республіка Північна Корея Польща Португалія Російська Федерація Руанда Румунія Сальвадор Самоа Сан-Марино Сан-Томе і Принсіпі Саудівська Аравія Свазіленд Сейшельські Острови Сенеґал Сент-Вінсент і Гренадини Сент-Кітс і Невіс Сент-Люсія Сербія Сирія Сінгапур Словаччина Словенія Соломонові Острови Сомалі Судан Суринам Східний Тимор США Сьєрра-Леоне Таджикистан Таїланд Танзанія Того Тонга Тринідад і Тобаго Тувалу Туніс Туреччина Туркменістан Уганда Угорщина Узбекистан Україна Уругвай Федеративні Штати Мікронезії Фіджі Філіппіни Фінляндія Франція Хорватія Центральноафриканська Республіка Чад Чехія Чилі Чорногорія Швейцарія Швеція Шрі-Ланка Ямайка Японія ffaker-2.8.1/lib/ffaker/data/address_ua/street0000644000004100000410000000035313233715167021301 0ustar www-datawww-dataЗелена Молодіжна Городоцька Стрийська Вузька Нижанківського Староміська Ліста Вічева Брюховичів Винників Рудного Коліївщини ffaker-2.8.1/lib/ffaker/data/skill/0000755000004100000410000000000013233715167017053 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/skill/tech_skills0000644000004100000410000000055413233715167021306 0ustar www-datawww-dataAjax XHR AWS Bootstrap CodeIgniter CSS3 Django Git HTML5 JavaScript JQuery JSON LAMP Linux Mac OSX MongoDB MySQL Photoshop PHP Python REST Ruby Rails SublimeText SVN TextMate Cassandra Heroku Memcached PostgreSQL SOAP XML YAML Backbone.JS Marionette.JS CakePHP ExtJS Sinatra Struts Typo3 Zend ActionScript ASP Java JSP Perl Shell Flash Illustrator Visio Angular.JSffaker-2.8.1/lib/ffaker/data/skill/specialty_start0000644000004100000410000000022513233715167022207 0ustar www-datawww-dataWeb Database Resource Team Prototype Project Software Hardware Firmware Area Multi-tier Global Template Modular Statistical Visual Mental Performanceffaker-2.8.1/lib/ffaker/data/skill/specialty_end0000644000004100000410000000022213233715167021615 0ustar www-datawww-dataDevelopment Management Design Architecture Methods Optimization Modularization Testing Profiling Prototyping Analysis Instruction Metrics Researchffaker-2.8.1/lib/ffaker/data/address_ch/0000755000004100000410000000000013233715167020034 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_ch/canton_abbr0000644000004100000410000000011613233715167022225 0ustar www-datawww-dataAG AI AR BE BL BS FR GE GL GR JU LU NE NW OW SG SH SO SZ TG TI UR VD VS ZG ZH ffaker-2.8.1/lib/ffaker/data/name_th/0000755000004100000410000000000013233715167017350 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/name_th/last_names0000644000004100000410000000052413233715167021422 0ustar www-datawww-dataเคนเนะดิ  ชินวัตร ตั้งตระกูล ติณสูลานนท์ บุตโต พิศาลบุตร วอชิงตัน สมิท บราวน์ สมิธ รักไทย เก่งงาน หงสกุล สโตเกอร์ พันธุเมธาffaker-2.8.1/lib/ffaker/data/name_th/nick_names0000644000004100000410000000175613233715167021413 0ustar www-datawww-dataกมล กัน  แก้ว  ขาว  เขียว  เงาะ  จิ๋ม จุ๋ม  เจ๋ง  เจี๊ยบ แจ๋ว  ชา  ชาติ  ชุ่ม แช่ม ณี ดำ  แดง  ต้อม ต้อย  ติ๋ม โต  นพ น้องหนู น้อย  นาก  นาค  น้ำตาล นิด  นุข เนียร ปลา  ปุ๊ก  ปุ้ม ปุ้ย ปุ๋ย   ปู  เปิ้ล เปี๊ยก แป๊บ  เผือก  เพิ่ม  ฟัก  มณี  ม้า  โม่ง รัตน์  รื่น เล็ก  วี  หน่อย  หนึ่ง  หนู  หมิว อ้วน  เอก  เอื้อย แอ๊ด แอน แม้น อิง  เอ๋ ใส  เมย์ ป๋อง อาร์ม ต๋อย จิต  วิทย์ ณัฐ จัน  ฟ้าใส แป้ง  เหน่งffaker-2.8.1/lib/ffaker/data/name_th/first_names0000644000004100000410000001547013233715167021614 0ustar www-datawww-dataสิริกิติ์ อภิสิทธิ์  อดิศักดิ์ อักขระ อริศรา อมร อมรรัตน์ อนันต์ อนันตชัย อาณัติ อนุชา อภิชาติ อภิชาต อภิรักษ์ อภิศักดิ์ อภิญญา  อารี  อารีพงศ์ อารง อาทิตย์  อรุณศรี อัษรา อัษฎา  บัณฑิตา บัญญัติ บุญศรี บุญรัตน์ บุญเยี่ยม บุญยง บุษราคัม  บุศวรรณ ชัยอนันต์ ชัยพร จักรี  เฉลิม  ฉลวย ชนะ  ชาญชัย ชนินทร์ ชนิภรณ์  จันทร์สิริ เชาวน์ ชาติชาย ชาติ  จตุพล ชิด  ชมเกดุ ชุ่ม ชวน  จุลภาส ชูวิทย์ ดนัย แดง  ดวงใจ ดวงกมล  เดือนเพ็ญ  ดุสิต  เอกใหม่ เอกพงษ์ ฟุ้งฟ้า กานดา  แก้วเก้า หทัย จารุวรรณ เจือ  กมล กาญจนา กนกพร เกษม ขจี ขนิษฐา คลัง  ขวัญจิต กล้าหาญ กระสินธ์  กฤษฏิ์ กุมโชค กุญชนิตา กุลพันธ์ ขวัญชัย ขวัญใจ มาลี มะลิ  มาณี มณี  มานิจ มโน มณู มนู มานิตย์  มารวย มงคล  มนตรี  มุกดา  นาค  นัยนา  นาก  เนาวรัตน์ นภสร นรินทร์ศักดิ์ นริศา ณรงค์ศักดิ์ นฤมล นววรรณ ณี หนิว นีราชา นิตยา นงลักษณ์ นงนุช นพดล นพคุณ นพรัตน์ ณัฎฐา ณัฐิมา ไพรัช ไพฑูรย์  ปานใจ ผาณิต พนิต พรรณี พนม ปานเทพ ภานุพัฒน์ ปาริชาติ ปริญญา  ภาสุระ พัชรพร พาที ปฐม  ปฏิภาณ พัฒนา  ปวีณา เพ็ญสุขภรณ์ ปีย์รติ เพิ่ม  เผด็จ ไพบูลย์ ไพศักดิ์ ไพศาล พาณิชย์  พยนต์  พิชิต  พิจิตร  พิมพ์ใจ พินิจ พิภพ  พิริยะ ภิรมย์ พลเดช ผ่องเพ็ญ ภรณ์พรรณ ภรณ์พันธ์ พรพันธุ์ ภรณ์พันธุ์ พรพรรณ พรรัมภา ภุชงค์ ภูมินทร์ ภูมิพัฒน์ พูนศักดิ์ พิกุล พิมพ์วสี ปิติ ปีติ ปิยบุตร ปิยะคม ปิยวรรณ ป้อง  พรชัย ประชา  ประดิษฐ์ ประมนต์ ประมุข  ปราณี ประพันธ์  ประภาส ประสาน ประเสริฐ ประสิทธิ  ประสงค์  ประทีป ประทุม ปรัชญา  ประเวช ประเวศ ประวิตร ประวิทย์ ปรีชา ปรีดา เปรม ปัญญา ราม รินรดา รอง  ฤดี รื่น รื่นฤดี รุ่งสิทธิ์ รัตน์  ฤทัย  แสงดาว สายพิณ สายสมร ศักดา สากล  ศักดิ์ทิพย์ สกุล  สลิลธร สมัคร  สามารถ  สมร  สนั่น สังวาล สนิท  สันติ  สริตา ศศิธร  สาธิต สาธิตยัง สว่าง  สวัสดิ์ สาวิทย์ เสรี  เซติอาวัน เซติยัง สิงห์  ศิริ ศิริโชค ศิริณี ศิริพล ศิริพงศ์ ศิริพร สิริรักษ์ ศิริรัตน์ ศิริวรรณ สีห์ศักดิ์ ศรีศักดิ์ สิทธิ  โสภาค สมบัติ  สมบูรณ์  สมบุญ สมชาย สมโชค สมคิด สมควร  สมลักษณ์ สมหมาย สมเพียร สมภพ สมพงษ์ สมพร สมรัตน์ สมศักดิ์ สมทรง สมศรี สมยศ สนธิ สุนทรี สุชาดา สุชาดาจะ สุชาย สุชาติ สุจินดา สุดา สุกัญญา สุหัตถ์ สุจิต สุเมธ สุนัย สุนีย์ สุนี ศุภชัย สุภาภรณ์ ศุภวิทย์ สุพรรณ  สุภาพ  ศุภวุฒิ สุพิชา สุพิศ ศุภผล ศุภรัตน์ สุประภา สุรัตน์ สุรี สุริยะ สุริยา สุธรรม สุเทพ สุทธิพล สุทธิพงศ์ สุวรรณ สุวิชา สุวิทย์ ธเนศ ตนุพล ธีรศักดิ์ ทักษิณ ธนากร ธนาพร ถนัด  ทวีฉัตร ถวิล ทวีป  ทวีศักดิ์ ทวีวงศ์ ธีรภัทร ฐิตวรรณ ฐิติภรณ์ ธงชัย ทัศนีย์ อุบล อุบลวรรณ อุดม  อุกิต อัญญาณี วีระ วิโรจน์ วรภัทร วานี วัลลภา วัลลภ วรรณ วรรณา วันพล วราภรณ์ วัชราภรณ์ วัฒนา วิชัย วิจารณ์  วิเชียร วิจิตร  วิลาศ วินัย  วีรยุทธ์ วิภา วิภาภรณ์ วีระ วีระชาย วีระชาติ วีระพันธุ์ วีระพล วีรศักดิ์ วีระศักดิ์ วิรัช วิริยะ วิเศษ  วิศิษฏ์ วิทยา  วรพร ญาณิน ยิ่งยศ ยุพิน ยุทธ์ ยุวรัตน์ เยาวพา อุกฤษฏ์ สุดใจ สมจิตffaker-2.8.1/lib/ffaker/data/address_kr/0000755000004100000410000000000013233715167020056 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_kr/cities0000644000004100000410000000132513233715167021262 0ustar www-datawww-data파주시 수원시 수원시 권선구 수원시 팔달구 수원시 영통구 성남시 성남시 수정구 성남시 중원구 화성시 성남시 분당구 안양시 안양시 만안구 안양시 동안구 부천시 부천시 원미구 부천시 소사구 부천시 오정구 광명시 평택시 이천시 동두천시 안산시 안산시 상록구 안산시 단원구 안성시 고양시 고양시 덕양구 고양시 일산동구 고양시 일산서구 과천시 구리시 남양주시 오산시 시흥시 군포시 의왕시 하남시 김포시 용인시 용인시 처인구 용인시 기흥구 용인시 수지구 연천군 가평군 양평군 광주시 포천시 양주시 수원시 장안구 의정부시 여주시 ffaker-2.8.1/lib/ffaker/data/address_kr/boroughs0000644000004100000410000000043413233715167021632 0ustar www-datawww-data종로구 중구 용산구 성동구 광진구 동대문구 중랑구 성북구 강북구 도봉구 노원구 은평구 서대문구 마포구 양천구 강서구 구로구 금천구 영등포구 동작구 관악구 서초구 강남구 송파구 강동구 동구 서구 남구 북구 ffaker-2.8.1/lib/ffaker/data/address_fi/0000755000004100000410000000000013233715167020040 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_fi/city0000644000004100000410000000167613233715167020745 0ustar www-datawww-dataAkaa Alajärvi Alavus Espoo Forssa Haapajärvi Haapavesi Hamina Hanko Harjavalta Heinola Helsinki Huittinen Hyvinkää Hämeenlinna Iisalmi Ikaalinen Imatra Joensuu Juankoski Jyväskylä Jämsä Järvenpää Kaarina Kajaani Kalajoki Kankaanpää Kannus Karkkila Kaskinen Kauhajoki Kauhava Kauniainen Kemi Kemijärvi Kerava Keuruu Kitee Kiuruvesi Kokemäki Kokkola Kotka Kouvola Kristiinankaupunki Kuhmo Kuopio Kurikka Kuusamo Lahti Laitila Lappeenranta Lapua Lieksa Lohja Loimaa Loviisa Maarianhamina Mikkeli Mänttä-Vilppula Naantali Nivala Nokia Nurmes Närpiö Orimattila Orivesi Oulainen Oulu Outokumpu Paimio Parainen Parkano Pieksämäki Pietarsaari Pori Porvoo Pudasjärvi Pyhäjärvi Raahe Raasepori Raisio Rauma Riihimäki Rovaniemi Saarijärvi Salo Sastamala Savonlinna Seinäjoki Somero Suonenjoki Tampere Tornio Turku Ulvila Uusikaarlepyy Uusikaupunki Vaasa Valkeakoski Vantaa Varkaus Viitasaari Virrat Ylivieska Ylöjärvi Ähtäri Äänekoski ffaker-2.8.1/lib/ffaker/data/address_fi/street0000644000004100000410000000337113233715167021275 0ustar www-datawww-dataAallontie Aamoksentie Aholantie Ahteensuuntie Alatie Alhonkuja Anna-Marinpolku Annantie Antinojantie Etelärinteentie Eveliinanpolku Forssantie Hanttulantie Harjulantie Hauniontie Hevosraitti Hirsimäentie Hollinkorventie Hossintie Huiskarintie Hyrsynkulmantie Ilveskalliontie Isokuja Isoniituntie Jaakkolantie Jyvämäentie Kaahintie Kalkkimäentie Kallaistentie Kallenpolku Kalliomäentie Karjunsuontie Karrinmäentie Kartanonkuja Kartanonkyläntie Kartanonmäki Katajamäentie Kerhotie Keskikyläntie Kiurunpolku Kiusalantie Kivenkorvantie Kivirasintie Koskentie Kujalantie Kujatie Kurjenmäentie Kurjentie Kuusimäentie Kuusjoentie Käkimäentie Käpälintie Kärppäsaarentie Köllintie Lassilantie Laurilantie Lehtimäenkulmantie Lehtolantie Leiritie Lemeläntie Lepolantie Leppäkorventie Lepäntie Levänmäentie Leväntie Liljanpolku Lingontie Loimaantie Lukkarinkuja Löyttyntie Maijanpolku Mannistentie Mattilantie Mttk Hevostalouden tutkimusase Muuntajantie Myllymäentie Mäenpääntie Männiköntie Mäntypolku Mätiköntie Naiminpolku Niilonpolku Opistontie Paavolantie Pajatie Palikkalantie Papalintie Papinkuja Pappilanmäentie Pekankuja Perttulantie Pertuntie Peräläntie Pihkurintie Pohjankulmantie Porrasmäentie Poste restante Poukkasillantie Pummintie Pyssymäentie Päivöläntie Rajalahdentie Rajalahdentie Rajatie Rantatie Rasiojantie Rassintie Ratsastajantie Ratsumestarinraitti Rauhalantie Raviradantie Rekolantie Ristikuja Ruokosuontie Ruonantie Saarentie Saarikontie Savikontie Siittolanmäentie Simontie Soinintie Soukanseljäntie Suntionpolku Suokulmantie Suorannantie Suorannantie Sököpolku Tallikuja Tolmintie Toltintie Turtolanpolku Turuntie Uitontie Uotilantie Urheilutie Varsanojantie Veikonpolku Vellinkimäentie Vähäsuontie Ypäjänkyläntie ffaker-2.8.1/lib/ffaker/data/address_fi/countries0000644000004100000410000000177013233715167022003 0ustar www-datawww-dataYhdysvallat Saksa Australia Iran Yhdistynyt kuningaskunta Hongkong Islanti Ranska Intia Kanada Venäjä Japani Italia Filippiinit Etelä-Afrikka Thaimaa Puola Englanti Irlanti Brasilia Argentiina Belgia Alankomaat Tanska Ruotsi Turkki Venezuela Korean demokraattinen kansantasavalta Korean tasavalta Meksiko Uusi-Seelanti Liettua Espanja Singapore Norja Kroatia Slovakia Marokko Luxemburg Pakistan Suomi Sveitsi Weimarin tasavalta Botswana Malesia Egypti Unkari Andorra Yhdistyneet arabiemiirikunnat Afganistan Antigua ja Barbuda Anguilla Albania Armenia Alankomaiden Antillit Angola Amerikan Samoa Itävalta Aruba Azerbaidzan Bosnia ja Hertsegovina Barbados Bangladesh Burkina Faso Bulgaria Bahrain Burundi Benin Bermuda Brunei Bolivia Bahama Bhutan Valko-Venäjä Belize Kookossaaret Keski-Afrikan tasavalta Kongon tasavalta Norsunluurannikko Cookinsaaret Chile Kamerun Kiina Kolumbia Costa Rica Serbia Kuuba Kap Verde Joulusaari Kyproksen tasavalta Djibouti Dominica Dominikaaninen tasavalta Algeria Ecuador Viro ffaker-2.8.1/lib/ffaker/data/name_cn/0000755000004100000410000000000013233715167017335 5ustar 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Helen Helena Helene Helga Hellen Henrietta Henriette Henry Herlinda Herma Hermelinda Hermila Hermina Hermine Herminia Herta Hertha Hester Hettie Hiedi Hien Hilaria Hilary Hilda Hilde Hildegard Hildegarde Hildred Hillary Hilma Hiroko Hisako Hoa Holley Holli Hollie Hollis Holly Honey Hong Hope Hortencia Hortense Hortensia Hsiu Hue Hui Hulda Huong Hwa Hyacinth Hye Hyo Hyon Hyun Ida Idalia Idell Idella Iesha Ignacia Ila Ilana Ilda Ileana Ileen Ilene Iliana Illa Ilona Ilse Iluminada Ima Imelda Imogene In Ina India Indira Inell Ines Inez Inga Inge Ingeborg Inger Ingrid Inocencia Iola Iona Ione Ira Iraida Irena Irene Irina Iris Irish Irma Irmgard Isa Isabel Isabell Isabella Isabelle Isadora Isaura Isela Isidra Isis Isobel Iva Ivana Ivelisse Ivette Ivey Ivonne Ivory Ivy Izetta Izola Ja Jacalyn Jacelyn Jacinda Jacinta Jack Jackeline Jackelyn Jacki Jackie Jacklyn Jackqueline Jaclyn Jacqualine Jacque Jacquelin Jacqueline Jacquelyn Jacquelyne Jacquelynn Jacquetta Jacqui Jacquie Jacquiline Jacquline Jacqulyn Jada Jade Jadwiga Jae Jaime Jaimee Jaimie Jaleesa Jalisa Jama Jame Jamee James Jamey Jami Jamie Jamika Jamila Jammie Jan Jana Janae Janay Jane Janean Janee Janeen Janel Janell Janella Janelle Janene Janessa Janet Janeth Janett Janetta Janette Janey Jani Janice Janie Janiece Janina Janine Janis Janise Janita Jann Janna Jannet Jannette Jannie January Janyce Jaqueline Jaquelyn Jasmin Jasmine Jason Jaunita Jay Jaye Jayme Jaymie Jayna Jayne Jazmin Jazmine Jean Jeana Jeane Jeanelle Jeanene Jeanett Jeanetta Jeanette Jeanice Jeanie Jeanine Jeanmarie Jeanna Jeanne Jeannetta Jeannette Jeannie Jeannine Jeffie Jeffrey Jen Jena Jenae Jene Jenee Jenell Jenelle Jenette Jeneva Jeni Jenice Jenifer Jeniffer Jenine Jenise Jenna Jennefer Jennell Jennette Jenni Jennie Jennifer Jenniffer Jennine Jenny Jeraldine Jeremy Jeri Jerica Jerilyn Jerlene Jerri Jerrica Jerrie Jerry Jesenia Jesica Jesse Jessenia Jessi Jessia Jessica Jessie Jessika Jestine Jesus Jesusa Jesusita Jetta Jettie Jewel Jewell Ji Jill Jillian Jimmie Jimmy Jin Jina Jinny Jo Joan Joana Joane Joanie Joann Joanna Joanne Joannie Joaquina Jocelyn Jodee Jodi Jodie Jody Joe Joeann Joel Joella Joelle Joellen Joetta Joette Joey Johana Johanna Johanne John Johna Johnetta Johnette Johnie Johnna Johnnie Johnny Johnsie Joi Joie Jolanda Joleen Jolene Jolie Joline Jolyn Jolynn Jon Jona Jone Jonell Jonelle Jong Joni Jonie Jonna Jonnie Jordan Jose Josefa Josefina Josefine Joselyn Joseph Josephina Josephine Josette Joshua Josie Joslyn Josphine Jovan Jovita Joy Joya Joyce Joycelyn Joye Juan Juana Juanita Jude Judi Judie Judith Judy Jule Julee Julene Juli Julia Julian Juliana Juliane Juliann Julianna Julianne Julie Julieann Julienne Juliet Julieta Julietta Juliette Julio Julissa June Jung Junie Junita Junko Justa Justin Justina Justine Jutta Ka Kacey Kaci Kacie Kacy Kai Kaila Kaitlin Kaitlyn Kala Kaleigh Kaley Kali Kallie Kalyn Kam Kamala Kami Kamilah Kandace Kandi Kandice Kandis Kandra Kandy Kanesha Kanisha Kara Karan Kareen Karen Karena Karey Kari Karie Karima Karin Karina Karine Karisa Karissa Karl Karla Karleen Karlene Karly Karlyn Karma Karmen Karol Karole Karoline Karolyn Karon Karren Karri Karrie Karry Kary Karyl Karyn Kasandra Kasey Kasha Kasi Kasie Kassandra Kassie Kate Katelin Katelyn Katelynn Katerine Kathaleen Katharina Katharine Katharyn Kathe Katheleen Katherin Katherina Katherine Kathern Katheryn Kathey Kathi Kathie Kathleen Kathlene Kathline Kathlyn Kathrin Kathrine Kathryn Kathryne Kathy Kathyrn Kati Katia Katie Katina Katlyn Katrice Katrina Kattie Katy Kay Kayce Kaycee Kaye Kayla Kaylee Kayleen Kayleigh Kaylene Kazuko Kecia Keeley Keely Keena Keesha Keiko Keila Keira Keisha Keith Keitha Keli Kelle Kellee Kelley Kelli Kellie Kelly Kellye Kelsey Kelsi Kelsie Kemberly Kena Kenda Kendal Kendall Kendra Kenia Kenisha Kenna Kenneth Kenya Kenyatta Kenyetta Kera Keren Keri Kerri Kerrie Kerry Kerstin Kesha Keshia Keturah Keva Kevin Khadijah Khalilah Kia Kiana Kiara Kiera Kiersten Kiesha Kiley Kim Kimber Kimberely Kimberlee Kimberley Kimberli Kimberlie Kimberly Kimbery Kimbra Kimi Kimiko Kina Kindra Kira Kirby Kirsten Kirstie Kirstin Kisha Kit Kittie Kitty Kiyoko Kizzie Kizzy Klara Kori Kortney Kourtney Kris Krishna Krissy Krista Kristal Kristan Kristeen Kristel Kristen Kristi Kristian Kristie Kristin Kristina Kristine Kristle Kristy Kristyn Krysta Krystal Krysten Krystin Krystina Krystle Krystyna Kum Kyla Kyle Kylee Kylie Kym Kymberly Kyoko Kyong Kyra Kyung Lacey Lachelle Laci Lacie Lacresha Lacy Ladawn Ladonna Lady Lael Lahoma Lai Laila Laine Lajuana Lakeesha Lakeisha Lakendra Lakenya Lakesha Lakeshia Lakia Lakiesha Lakisha Lakita Lala Lamonica Lan Lana Lane Lanell Lanelle Lanette Lang Lani Lanie Lanita Lannie Lanora Laquanda Laquita Lara Larae Laraine Laree Larhonda Larisa Larissa Larita Laronda Larraine Larry Larue Lasandra Lashanda Lashandra Lashaun Lashaunda Lashawn Lashawna Lashawnda Lashay Lashell Lashon Lashonda Lashunda Lasonya Latanya Latarsha Latasha Latashia Latesha Latia Laticia Latina Latisha Latonia Latonya Latoria Latosha Latoya Latoyia Latrice Latricia Latrina Latrisha Launa Laura Lauralee Lauran Laure Laureen Laurel Lauren Laurena Laurence Laurene Lauretta Laurette Lauri Laurice Laurie Laurinda Laurine Lauryn Lavada Lavelle Lavenia Lavera Lavern Laverna Laverne Laveta Lavette Lavina Lavinia Lavon Lavona Lavonda Lavone Lavonia Lavonna Lavonne Lawana Lawanda Lawanna Lawrence Layla Layne Le Lea Leah Lean Leana Leandra Leann Leanna Leanne Leanora Leatha Leatrice Lecia Leda Lee Leeann Leeanna Leeanne Leena Leesa Leia Leida Leigh Leigha Leighann Leila Leilani Leisa Leisha Lekisha Lela Lelah Lelia Lena Lenita Lenna Lennie Lenora Lenore Leo Leola Leoma Leon Leona Leonarda Leone Leonia Leonida Leonie Leonila Leonor Leonora Leonore Leontine Leora Leota Lera Lesa Lesha Lesia Leslee Lesley Lesli Leslie Lessie Lester Leta Letha Leticia Letisha Letitia Lettie Letty Lewis Lexie Lezlie Li Lia Liana Liane Lianne Libbie Libby Liberty Librada Lida Lidia Lien Lieselotte Ligia Lila Lili Lilia Lilian Liliana Lilla Lilli Lillia Lilliam Lillian Lilliana Lillie Lilly Lily Lin Lina Linda Lindsay Lindsey Lindsy Lindy Linette Ling Linh Linn Linnea Linnie Linsey Lisa Lisabeth Lisandra Lisbeth Lise Lisette Lisha Lissa Lissette Lita Livia Liz Liza Lizabeth Lizbeth Lizeth Lizette Lizzette Lizzie Loan Logan Loida Lois Loise Lola Lolita Loma Lona Londa Loni Lonna Lonnie Lora Loraine Loralee Lore Lorean Loree Loreen Lorelei Loren Lorena Lorene Lorenza Loreta Loretta Lorette Lori Loria Loriann Lorie Lorilee Lorina Lorinda Lorine Loris Lorita Lorna Lorraine Lorretta Lorri Lorriane Lorrie Lorrine Lory Lottie Lou Louann Louanne Louella Louetta Louie Louis Louisa Louise Loura Lourdes Lourie Louvenia Love Lovella Lovetta Lovie Loyce Lu Luana Luann Luanna Luanne Luba Luci Lucia Luciana Lucie Lucienne Lucila Lucile Lucilla Lucille Lucina Lucinda Lucrecia Lucretia Lucy Ludie Ludivina Lue Luella Luetta Luis Luisa Luise Lula Lulu Luna Lupe Lupita Lura Lurlene Lurline Luvenia Luz Lyda Lydia Lyla Lyn Lynda Lyndia Lyndsay Lyndsey Lynell Lynelle Lynetta Lynette Lynn Lynna Lynne Lynnette Lynsey Ma Mabel Mabelle Mable Machelle Macie Mackenzie Macy Madalene Madaline Madalyn Maddie Madelaine Madeleine Madelene Madeline Madelyn Madge Madie Madison Madlyn Madonna Mae Maegan Mafalda Magali Magaly Magan Magaret Magda Magdalen Magdalena Magdalene Magen Maggie Magnolia Mahalia Mai Maia Maida Maile Maira Maire Maisha Maisie Majorie Makeda Malena Malia Malika Malinda Malisa Malissa Malka Mallie Mallory Malorie Malvina Mamie Mammie Man Mana Manda Mandi Mandie Mandy Manie Manuela Many Mao Maple Mara Maragaret Maragret Maranda Marcela Marcelene Marcelina Marceline Marcell Marcella Marcelle Marcene Marchelle Marci Marcia Marcie Marcy Mardell Maren Marg Margaret Margareta Margarete Margarett Margaretta Margarette Margarita Margarite Margart Marge Margene Margeret Margert Margery Marget Margherita Margie Margit Margo Margorie Margot Margret Margrett Marguerita Marguerite Margurite Margy Marhta Mari Maria Mariah Mariam Marian Mariana Marianela Mariann Marianna Marianne Maribel Maribeth Marica Maricela Maricruz Marie Mariel Mariela Mariella Marielle Marietta Mariette Mariko Marilee Marilou Marilu Marilyn Marilynn Marin Marina Marinda Marine Mario Marion Maris Marisa Marisela Marisha Marisol Marissa Marita Maritza Marivel Marjorie Marjory Mark Marketta Markita Marla Marlana Marleen Marlen Marlena Marlene Marlin Marline Marlo Marlyn Marlys Marna Marni Marnie Marquerite Marquetta Marquita Marquitta Marry Marsha Marshall Marta Marth Martha Marti Martin Martina Martine Marty Marva Marvel Marvella Marvis Marx Mary Marya Maryalice Maryam Maryann Maryanna Maryanne Marybelle Marybeth Maryellen Maryetta Maryjane Maryjo Maryland Marylee Marylin Maryln Marylou Marylouise Marylyn Marylynn Maryrose Masako Matha Mathilda Mathilde Matilda Matilde Matthew Mattie Maud Maude Maudie Maura Maureen Maurice Maurine Maurita Mavis Maxie Maxima Maximina Maxine May Maya Maybell Maybelle Maye Mayme Mayola Mayra Mazie Mckenzie Meagan Meaghan Mechelle Meda Mee Meg Megan Meggan Meghan Meghann Mei Melaine Melani Melania Melanie Melany Melba Melda Melia Melida Melina Melinda Melisa Melissa Melissia Melita Mellie Mellisa Mellissa Melodee Melodi Melodie Melody Melonie Melony Melva Melvin Melvina Melynda Mendy Mercedes Mercedez Mercy Meredith Meri Merideth Meridith Merilyn Merissa Merle Merlene Merlyn Merna Merri Merrie Merrilee Merrill Merry Mertie Meryl Meta Mi Mia Mica Micaela Micah Micha Michael Michaela Michaele Michal Micheal Michel Michele Michelina Micheline Michell Michelle Michiko Mickey Micki Mickie Miesha Migdalia Mignon Miguelina Mika Mikaela Mike Miki Mikki Mila Milagro Milagros Milda Mildred Milissa Millicent Millie Milly Mimi Min Mina Minda Mindi Mindy Minerva Ming Minh Minna Minnie Minta Mira Miranda Mireille Mirella Mireya Miriam Mirian Mirna Mirta Mirtha Misha Miss Missy Misti Mistie Misty Mitchell Mitsue Mitsuko Mittie Mitzi Mitzie Miyoko Modesta Moira Mollie Molly Mona Monet Monica Monika Monique Monnie Monserrate Moon Mora Morgan Moriah Mozell Mozella Mozelle Mui Muoi Muriel My Myesha Myong Myra Myriam Myrl Myrle Myrna Myrta Myrtice Myrtie Myrtis Myrtle Myung Na Nada Nadene Nadia Nadine Naida Nakesha Nakia Nakisha Nakita Nam Nan Nana Nancee Nancey Nanci Nancie Nancy Nanette Nannette Nannie Naoma Naomi Narcisa Natacha Natalia Natalie Natalya Natasha Natashia Nathalie Natisha Natividad Natosha Necole Neda Nedra Neely Neida Nelda Nelia Nelida Nell Nella Nelle Nellie Nelly Nena Nenita Neoma Neomi Nereida Nerissa Nery Neta Nettie Neva Nevada Nga Ngan Ngoc Nguyet Nia Nichelle Nichol Nichole Nicholle Nicki Nickie Nickole Nicky Nicol Nicola Nicolasa Nicole Nicolette Nicolle Nida Nidia Niesha Nieves Niki Nikia Nikita Nikki Nikole Nila Nilda Nilsa Nina Ninfa Nisha Nita Nobuko Noel Noelia Noella Noelle Noemi Nohemi Nola Noma Nona Nora Norah Noreen Norene Noriko Norine Norma Norman Nova Novella Nu Nubia Numbers Nydia Nyla Xzbdulia Ocie Octavia Oda Odelia Odell Odessa Odette Odilia Ofelia Ok Ola Olene Oleta Olevia Olga Olimpia Olinda Oliva Olive Olivia Ollie Olympia Oma Omega Ona Oneida Onie Onita Opal Ophelia Ora Oralee Oralia Oretha Orpha Oscar Ossie Otelia Otha Otilia Ouida Ozell Ozella Ozie Pa Page Paige Palma Palmira Pam Pamala Pamela Pamelia Pamella Pamila Pamula Pandora Pansy Paola Paris Parthenia Particia Pasty Pat Patience Patria Patrica Patrice Patricia Patrick Patrina Patsy Patti Pattie Patty Paul Paula Paulene Pauletta Paulette Paulina Pauline Paulita Paz Pearl Pearle Pearlene Pearlie Pearline Pearly Peg Peggie Peggy Pei Penelope Penney Penni Pennie Penny Perla Perry Peter Petra Petrina Petronila Phebe Phillis Philomena Phoebe Phung Phuong Phylicia Phylis Phyliss Phyllis Pia Piedad Pilar Ping Pinkie Piper Pok Polly Porsche Porsha Portia Precious Pricilla Princess Priscila Priscilla Providencia Prudence Pura Qiana Queen Queenie Quiana Quinn Quyen Rachael Rachal Racheal Rachel Rachele Rachell Rachelle Racquel Rae Raeann Raelene Rafaela Raguel Raina Raisa Ramona Ramonita Rana Ranae Randa Randee Randi Randy Ranee Raquel Rasheeda Rashida Raven Ray Raye Raylene Raymond Raymonde Rayna Rea Reagan Reanna Reatha Reba Rebbeca Rebbecca Rebeca Rebecca Rebecka Rebekah Reda Reena Refugia Refugio Regan Regena Regenia Regina Regine Reginia Reiko Reina Reita Rema Remedios Remona Rena Renae Renata Renate Renay Renda Rene Renea Renee Renetta Renita Renna Ressie Reta Retha Retta Reva Reyna Reynalda Rhea Rheba Rhiannon Rhoda Rhona Rhonda Ria Ricarda Richard Richelle Ricki Rickie Rikki Rima Rina Risa Rita Riva Rivka Robbi Robbie Robbin Robbyn Robena Robert Roberta Roberto Robin Robyn Rochel Rochell Rochelle Rocio Rolanda Rolande Roma Romaine Romana Romelia Romona Rona Ronald Ronda Roni Ronna Ronni Ronnie Rory Rosa Rosalba Rosalee Rosalia Rosalie Rosalina Rosalind Rosalinda Rosaline Rosalva Rosalyn Rosamaria Rosamond Rosana Rosann Rosanna Rosanne Rosaria Rosario Rosaura Rose 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Shaneka Shanel Shanell Shanelle Shani Shanice Shanika Shaniqua Shanita Shanna Shannan Shannon Shanon Shanta Shantae Shantay Shante Shantel Shantell Shantelle Shanti Shaquana Shaquita Shara Sharan Sharda Sharee Sharell Sharen Shari Sharice Sharie Sharika Sharilyn Sharita Sharla Sharleen Sharlene Sharmaine Sharolyn Sharon Sharonda Sharri Sharron Sharyl Sharyn Shasta Shaun Shauna Shaunda Shaunna Shaunta Shaunte Shavon Shavonda Shavonne Shawana Shawanda Shawanna Shawn Shawna Shawnda Shawnee Shawnna Shawnta Shay Shayla Shayna Shayne Shea Sheba Sheena Sheila Sheilah Shela Shelba Shelby Shelia Shella Shelley Shelli Shellie Shelly Shemeka Shemika Shena Shenika Shenita Shenna Shera Sheree Sherell Sheri Sherice Sheridan Sherie Sherika Sherill Sherilyn Sherise Sherita Sherlene Sherley Sherly Sherlyn Sheron Sherrell Sherri Sherrie Sherril Sherrill Sherron Sherry Sherryl Shery Sheryl Sheryll Shiela Shila Shiloh Shin Shira Shirely Shirl Shirlee Shirleen Shirlene Shirley Shirly Shizue Shizuko Shona Shonda Shondra Shonna Shonta Shoshana Shu Shyla Sibyl Sidney Sierra Signe Sigrid Silva Silvana Silvia Sima Simona Simone Simonne Sina Sindy Siobhan Sirena Siu Sixta Skye Slyvia So Socorro Sofia Soila Sol Solange Soledad Somer Sommer Son Sona Sondra Song Sonia Sonja Sonya Soo Sook Soon Sophia Sophie Soraya Sparkle Spring Stacee Stacey Staci Stacia Stacie Stacy Star Starla Starr Stasia Stefani Stefania Stefanie Stefany Steffanie Stella Stepanie Stephaine Stephane Stephani Stephania Stephanie Stephany Stephen Stephenie Stephine Stephnie Steven Stevie Stormy Su Suanne Sudie Sue Sueann Suellen Suk Sulema Sumiko Summer Sun Sunday Sung Sunni Sunny Sunshine Susan Susana Susann Susanna Susannah Susanne Susie Susy Suzan Suzann Suzanna Suzanne Suzette Suzi Suzie Suzy Svetlana Sybil Syble Sydney Sylvia Sylvie Synthia Syreeta Ta Tabatha Tabetha Tabitha Tai Taina Taisha Tajuana Takako Takisha Talia Talisha Talitha Tam Tama Tamala Tamar Tamara Tamatha Tambra Tameika Tameka Tamekia Tamela Tamera Tamesha Tami Tamica Tamie Tamika Tamiko Tamisha Tammara Tammera Tammi Tammie Tammy Tamra Tana Tandra Tandy Taneka Tanesha Tangela Tania Tanika Tanisha Tanja Tanna Tanya Tara Tarah Taren Tari Tarra Tarsha Taryn Tasha Tashia Tashina Tasia Tatiana Tatum Tatyana Taunya Tawana Tawanda Tawanna Tawna Tawny Tawnya Taylor Tayna Teena Tegan Teisha Telma Temeka Temika Tempie Temple Tena Tenesha Tenisha Tennie Tennille Teodora Teofila Tequila Tera Tereasa Teresa Terese Teresia Teresita Teressa Teri Terica Terina Terisa Terra Terrell Terresa Terri Terrie Terrilyn Terry Tesha Tess Tessa Tessie Thalia Thanh Thao Thea Theda Thelma Theo Theodora Theola Theresa Therese Theresia Theressa Thersa Thi Thomas Thomasena Thomasina Thomasine Thora Thresa Thu Thuy Tia Tiana Tianna Tiara Tien Tiera Tierra Tiesha Tifany Tiffaney Tiffani Tiffanie Tiffany Tiffiny Tijuana Tilda Tillie Timika Timothy Tina Tinisha Tiny Tisa Tish Tisha Tobi Tobie Toby Toccara Toi Tomasa Tomeka Tomi Tomika Tomiko Tommie Tommy Tommye Tomoko Tona Tonda Tonette Toni Tonia Tonie Tonisha Tonita Tonja Tony Tonya Tora Tori Torie Torri Torrie Tory Tosha Toshia Toshiko Tova Towanda Toya Tracee Tracey Traci Tracie Tracy Tran Trang Travis Treasa Treena Trena Tresa Tressa Tressie Treva Tricia Trina Trinh Trinidad Trinity Trish Trisha Trista Tristan Troy Trudi Trudie Trudy Trula Tu Tula Tuyet Twana Twanda Twanna Twila Twyla Tyesha Tyisha Tyler Tynisha Tyra Ula Ulrike Un Una Ursula Usha Ute Vada Val Valarie Valda Valencia Valene Valentina Valentine Valeri Valeria Valerie Valery Vallie Valorie Valrie Van Vanda Vanesa Vanessa Vanetta Vania Vanita Vanna Vannesa Vannessa Vashti Vasiliki Veda Velda Velia Vella Velma Velva Velvet Vena Venessa Venetta Venice Venita Vennie Venus Veola Vera Verda Verdell Verdie Verena Vergie Verla Verlene Verlie Verline Verna Vernell Vernetta Vernia Vernice Vernie Vernita Vernon Verona Veronica Veronika Veronique Versie Vertie Vesta Veta Vi Vicenta Vickey Vicki Vickie Vicky Victor Victoria Victorina Vida Viki Vikki Vilma Vina Vincenza Vinita Vinnie Viola Violet Violeta Violette Virgen Virgie Virgil Virgina Virginia Vita Viva Vivan Vivian Viviana Vivien Vivienne Voncile Vonda Vonnie Wai Walter Waltraud Wan Wanda Waneta Wanetta Wanita Wava Wei Wen Wendi Wendie Wendolyn Wendy Wenona Wesley Whitley Whitney Wilda Wilhelmina Wilhemina Willa Willena Willene Willetta Willette Willia William Willie Williemae Willodean Willow Wilma Windy Winifred Winnie Winnifred Winona Winter Wonda Wynell Wynona Xenia Xiao Xiomara Xochitl Xuan Yadira Yaeko Yael Yahaira Yajaira Yan Yang Yanira Yasmin Yasmine Yasuko Yee Yelena Yen Yer Yesenia Yessenia Yetta Yevette Yi Ying Yoko Yolanda Yolande Yolando Yolonda Yon Yong Yoshie Yoshiko Youlanda Young Yu Yuette Yuk Yuki Yukiko Yuko Yulanda Yun Yung Yuonne Yuri Yuriko Yvette Yvone Yvonne Zada Zaida Zana Zandra Zelda Zella Zelma Zena Zenaida Zenia Zenobia Zetta Zina Zita Zoe Zofia Zoila Zola Zona Zonia Zora Zoraida Zula Zulema Zulma ffaker-2.8.1/lib/ffaker/data/name/first_names_male0000644000004100000410000002000113233715167022101 0ustar www-datawww-dataAaron Abdul Abe Abel Abraham Abram Adalberto Adam Adan Adolfo Adolph Adrian Agustin Ahmad Ahmed Al Alan Albert Alberto Alden Aldo Alec Alejandro Alex Alexander Alexis Alfonso Alfonzo Alfred Alfredo Ali Allan Allen Alonso Alonzo Alphonse Alphonso Alton Alva Alvaro Alvin Amado Ambrose Amos Anderson Andre Andrea Andreas Andres Andrew Andy Angel Angelo Anibal Anthony Antione Antoine Anton Antone Antonia Antonio Antony Antwan Archie Arden Ariel Arlen Arlie Armand Armando Arnold Arnoldo Arnulfo Aron Arron Art Arthur Arturo Asa Ashley Aubrey August Augustine Augustus Aurelio Austin Avery Barney Barrett Barry Bart Barton Basil Beau Ben Benedict Benito Benjamin Bennett Bennie Benny Benton Bernard Bernardo Bernie Berry Bert Bertram Bill Billie Billy Blaine Blair Blake Bo Bob Bobbie Bobby Booker Boris Boyce Boyd Brad Bradford Bradley Bradly Brady Brain Branden Brandon Brant Brendan Brendon Brent Brenton Bret Brett Brian Brice Britt Brock Broderick Brooks Bruce Bruno Bryan Bryant Bryce Bryon Buck Bud Buddy Buford Burl Burt Burton Buster Byron Caleb Calvin Cameron Carey Carl Carlo Carlos Carlton Carmelo Carmen Carmine Carol Carrol Carroll Carson Carter Cary Casey Cecil Cedric Cedrick Cesar Chad Chadwick Chance Chang Charles Charley Charlie Chas Chase Chauncey Chester Chet Chi Chong Chris Christian Christoper Christopher Chuck Chung Clair Clarence Clark Claud Claude Claudio Clay Clayton Clement Clemente Cleo Cletus Cleveland Cliff Clifford Clifton Clint Clinton Clyde Cody Colby Cole Coleman Colin Collin Colton Columbus Connie Conrad Cordell Corey Cornelius Cornell Cortez Cory Courtney Coy Craig Cristobal Cristopher Cruz Curt Curtis Cyril Cyrus Dale Dallas Dalton Damian Damien Damion Damon Dan Dana Dane Danial Daniel Danilo Dannie Danny Dante Darell Daren Darin Dario Darius Darnell Daron Darrel Darrell Darren Darrick Darrin Darron Darryl Darwin Daryl Dave David Davis Dean Deandre Deangelo Dee Del Delbert Delmar Delmer Demarcus Demetrius Denis Dennis Denny Denver Deon Derek Derick Derrick Deshawn Desmond Devin Devon Dewayne Dewey Dewitt Dexter Dick Diego Dillon Dino Dion Dirk Domenic Domingo Dominic Dominick Dominique Don Donald Dong Donn Donnell Donnie Donny Donovan Donte Dorian Dorsey Doug Douglas Douglass Doyle Drew Duane Dudley Duncan Dustin Dusty Dwain Dwayne Dwight Dylan Earl Earle Earnest Ed Eddie Eddy Edgar Edgardo Edison Edmond Edmund Edmundo Eduardo Edward Edwardo Edwin Efrain Efren Elbert Elden Eldon Eldridge Eli Elias Elijah Eliseo Elisha Elliot Elliott Ellis Ellsworth Elmer Elmo Eloy Elroy Elton Elvin Elvis Elwood Emanuel Emerson Emery Emil Emile Emilio Emmanuel Emmett Emmitt Emory Enoch Enrique Erasmo Eric Erich Erick Erik Erin Ernest Ernesto Ernie Errol Ervin Erwin Esteban Ethan Eugene Eugenio Eusebio Evan Everett Everette Ezekiel Ezequiel Ezra Fabian Faustino Fausto Federico Felipe Felix Felton Ferdinand Fermin Fernando Fidel Filiberto Fletcher Florencio Florentino Floyd Forest Forrest Foster Frances Francesco Francis Francisco Frank Frankie Franklin Franklyn Fred Freddie Freddy Frederic Frederick Fredric Fredrick Freeman Fritz Gabriel Gail Gale Galen Garfield Garland Garret Garrett Garry Garth Gary Gaston Gavin Gayle Gaylord Genaro Gene Geoffrey George Gerald Geraldo Gerard Gerardo German Gerry Gil Gilbert Gilberto Gino Giovanni Giuseppe Glen Glenn Gonzalo Gordon Grady Graham Graig Grant Granville Greg Gregg Gregorio Gregory Grover Guadalupe Guillermo Gus Gustavo Guy Hai Hal Hank Hans Harlan Harland Harley Harold Harris Harrison Harry Harvey Hassan Hayden Haywood Heath Hector Henry Herb Herbert Heriberto Herman Herschel Hershel Hilario Hilton Hipolito Hiram Hobert Hollis Homer Hong Horace Horacio Hosea Houston Howard Hoyt Hubert Huey Hugh Hugo Humberto Hung Hunter Hyman Ian Ignacio Ike Ira Irvin Irving Irwin Isaac Isaiah Isaias Isiah Isidro Ismael Israel Isreal Issac Ivan Ivory Jacinto Jack Jackie Jackson Jacob Jacques Jae Jaime Jake Jamaal Jamal Jamar Jame Jamel James Jamey Jamie Jamison Jan Jared Jarod Jarred Jarrett Jarrod Jarvis Jason Jasper Javier Jay Jayson Jc Jean Jed Jeff Jefferey Jefferson Jeffery Jeffrey Jeffry Jerald Jeramy Jere Jeremiah Jeremy Jermaine Jerold Jerome Jeromy Jerrell Jerrod Jerrold Jerry Jess Jesse Jessie Jesus Jewel Jewell Jim Jimmie Jimmy Joan Joaquin Jody Joe Joel Joesph Joey John Johnathan Johnathon Johnie Johnnie Johnny Johnson Jon Jonah Jonas Jonathan Jonathon Jordan Jordon Jorge Jose Josef Joseph Josh Joshua Josiah Jospeh Josue Juan Jude Judson Jules Julian Julio Julius Junior Justin Kareem Karl Kasey Keenan Keith Kelley Kelly Kelvin Ken Kendall Kendrick Keneth Kenneth Kennith Kenny Kent Kenton Kermit Kerry Keven Kevin Kieth Kim King Kip Kirby Kirk Korey Kory Kraig Kris Kristofer Kristopher Kurt Kurtis Kyle Lacy Lamar Lamont Lance Landon Lane Lanny Larry Lauren Laurence Lavern Laverne Lawerence Lawrence Lazaro Leandro Lee Leif Leigh Leland Lemuel Len Lenard Lenny Leo Leon Leonard Leonardo Leonel Leopoldo Leroy Les Lesley Leslie Lester Levi Lewis Lincoln Lindsay Lindsey Lino Linwood Lionel Lloyd Logan Lon Long Lonnie Lonny Loren Lorenzo Lou Louie Louis Lowell Loyd Lucas Luciano Lucien Lucio Lucius Luigi Luis Luke Lupe Luther Lyle Lyman Lyndon Lynn Lynwood Mac Mack Major Malcolm Malcom Malik Man Manual Manuel Marc Marcel Marcelino Marcellus Marcelo Marco Marcos Marcus Margarito Maria Mariano Mario Marion Mark Markus Marlin Marlon Marquis Marshall Martin Marty Marvin Mary Mason Mathew Matt Matthew Maurice Mauricio Mauro Max Maximo Maxwell Maynard Mckinley Mel Melvin Merle Merlin Merrill Mervin Micah Michael Michal Michale Micheal Michel Mickey Miguel Mike Mikel Milan Miles Milford Millard Milo Milton Minh Miquel Mitch Mitchel Mitchell Modesto Mohamed Mohammad Mohammed Moises Monroe Monte Monty Morgan Morris Morton Mose Moses Moshe Murray Myles Myron Napoleon Nathan Nathanael Nathanial Nathaniel Neal Ned Neil Nelson Nestor Neville Newton Nicholas Nick Nickolas Nicky Nicolas Nigel Noah Noble Noe Noel Nolan Norbert Norberto Norman Normand Norris Numbers Octavio Odell Odis Olen Olin Oliver Ollie Omar Omer Oren Orlando Orval Orville Oscar Osvaldo Oswaldo Otha Otis Otto Owen Pablo Palmer Paris Parker Pasquale Pat Patricia Patrick Paul Pedro Percy Perry Pete Peter Phil Philip Phillip Pierre Porfirio Porter Preston Prince Quentin Quincy Quinn Quintin Quinton Rafael Raleigh Ralph Ramiro Ramon Randal Randall Randell Randolph Randy Raphael Rashad Raul Ray Rayford Raymon Raymond Raymundo Reed Refugio Reggie Reginald Reid Reinaldo Renaldo Renato Rene Reuben Rex Rey Reyes Reynaldo Rhett Ricardo Rich Richard Richie Rick Rickey Rickie Ricky Rico Rigoberto Riley Rob Robbie Robby Robert Roberto Robin Robt Rocco Rocky Rod Roderick Rodger Rodney Rodolfo Rodrick Rodrigo Rogelio Roger Roland Rolando Rolf Rolland Roman Romeo Ron Ronald Ronnie Ronny Roosevelt Rory Rosario Roscoe Rosendo Ross Roy Royal Royce Ruben Rubin Rudolf Rudolph Rudy Rueben Rufus Rupert Russ Russel Russell Rusty Ryan Sal Salvador Salvatore Sam Sammie Sammy Samual Samuel Sandy Sanford Sang Santiago Santo Santos Saul Scot Scott Scottie Scotty Sean Sebastian Sergio Seth Seymour Shad Shane Shannon Shaun Shawn Shayne Shelby Sheldon Shelton Sherman Sherwood Shirley Shon Sid Sidney Silas Simon Sol Solomon Son Sonny Spencer Stacey Stacy Stan Stanford Stanley Stanton Stefan Stephan Stephen Sterling Steve Steven Stevie Stewart Stuart Sung Sydney Sylvester Tad Tanner Taylor Ted Teddy Teodoro Terence Terrance Terrell Terrence Terry Thad Thaddeus Thanh Theo Theodore Theron Thomas Thurman Tim Timmy Timothy Titus Tobias Toby Tod Todd Tom Tomas Tommie Tommy Toney Tony Tory Tracey Tracy Travis Trent Trenton Trevor Trey Trinidad Tristan Troy Truman Tuan Ty Tyler Tyree Tyrell Tyron Tyrone Tyson Ulysses Val Valentin Valentine Van Vance Vaughn Vern Vernon Vicente Victor Vince Vincent Vincenzo Virgil Virgilio Vito Von Wade Waldo Walker Wallace Wally Walter Walton Ward Warner Warren Waylon Wayne Weldon Wendell Werner Wes Wesley Weston Whitney Wilber Wilbert Wilbur Wilburn Wiley Wilford Wilfred Wilfredo Will Willard William Williams Willian Willie Willis Willy Wilmer Wilson Wilton Winford Winfred Winston Wm Woodrow Wyatt Xavier Yong Young Zachariah Zachary Zachery Zack Zackary Zane ffaker-2.8.1/lib/ffaker/data/lorem_cn/0000755000004100000410000000000013233715167017533 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/lorem_cn/words0000644000004100000410000002073613233715167020624 0ustar www-datawww-data瞥 瞅 望 瞄 瞪 盯 观察 凝视 注视 看望 探望 瞻仰 扫视 环视 仰望 俯视 鸟瞰 俯瞰 远望 眺望 了望 讲 曰 讨论 议论 谈论 交流 交谈 嚷 吼 嚎 啼 鸣 嘶 嘶叫 嚎叫 叫嚷 首 元 甲 子 首先 首屈一指 名列前茅 吱呀 喀嚓 扑哧 哗啦 沙沙 咕咚 叮当 咕噜 嗖嗖 唧唧喳喳 叽叽喳喳 轰轰隆隆 叮叮当当 叮叮咚咚 哗哗啦啦 鸟语花香 春暖花开 阳春三月 万物复苏 春风轻拂 烈日当空 暑气逼人 大汗淋漓 挥汗如雨 乌云翻滚 秋高气爽 五谷丰登 万花凋谢 天高云淡 落叶沙沙 三九严寒 天寒地冻 雪花飞舞 寒冬腊月 千里冰封 头重脚轻 指手画脚 愁眉苦脸 心明眼亮 目瞪口呆 张口结舌 交头接耳 面黄肌瘦 眼明手快 眼高手低 昂首挺胸 心灵手巧 摩拳擦掌 摩肩接踵 鼠目寸光 谈虎色变 兔死狐悲 龙马精神 杯弓蛇影 马到成功 与虎谋皮 亡羊补牢 雄狮猛虎 鹤立鸡群 狗急跳墙 叶公好龙 声名狼籍 狐假虎威 画蛇添足 九牛一毛 鸡犬不宁 一箭双雕 惊弓之鸟 胆小如鼠 打草惊蛇 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everybody got they cups eighty degrees at ease the Dogg Pound feel the breeze bubbles in the tub Long Beach now I'm on parole guess what? it's 1993 rizzide the S oh yes bionic every single one Mr. Buckwort used to sell loot the diggyffaker-2.8.1/lib/ffaker/data/lorem_fr/0000755000004100000410000000000013233715167017542 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/lorem_fr/words0000644000004100000410000000307113233715167020624 0ustar www-datawww-dataagence aguets Alors Alphabetville alphanatale approvisionne attendraient au aux avait aventurer bercail bien Bolo Bolos bonnes bouche Bourg-en-Lettres c ce cela ces cette chaîne chemin coeur Consonnia convaincre Copy coula coule Créas cuit côtes d dans de delà demeurent depuis dernier des dissuader du décida déconcerter déjà désormais en En encore encoreLoin entiers est et Et exploitent fallut ferait fin finir fins firent flancs fois fourbes fourmillait fût genre glissa Grammaire grand gravi headline histoire Il il Ils ils initiale 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Voyellie à écho était étéffaker-2.8.1/lib/ffaker/data/color_ua/0000755000004100000410000000000013233715167017540 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/color_ua/names_list0000644000004100000410000000536013233715167021625 0ustar www-datawww-dataабрикосовий аквамариновий амарантовий аметистовий багряний багряний баклажановий барвінковий бежевий блаватний блакитний блакитно-зелений блакитно-фіолетовий блідо-брунатний блідо-волошковий блідо-карміновий блідо-каштановий блідо-пурпурний блідо-пісочний блідо-рожевий болотний бронзовий брунатний брунатно-малиновий бузковий бурий бурштиновий білий бірюзовий бірюзовий волошковий гарбузовий голубий гірчичний джинсовий жовтий жовто-зелений жовто-коричневий жовто-персиковий зелений зеленувато-блакитний золотаво-березовий золотий золотисто-каштановий каштановий кобальтовий кораловий кремовий кукурудзяний лазуровий лазурово-синій латунний лимонний лимонно-кремовий ліловий малахітовий малиновий морквяний мідний м’ятний небесно-блакитний 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Alanís Altamirano Alvarado Ávila Arenas Arroyo Alva Aguirre Aréchiga Álamos Álvarez Azcárraga Abrín Aldama Alfaro Arjona Arredondo Ballina Bautista Baños Benítez Bello Bobadilla Borja Barbosa Bracho Baltazar Bárcenas Bernal Bermúdez Blanco Bairez Batista Balderas Brambila Botello Barrera Barrientos Barajas Cervantes Calderón Carmona Caballero Campos Camacho Cortés Chávez Colín Contreras Cordero Covarrubias Cabrera Cabazos Castañeda Canales Calvario Cadenas Cabañas Castillo Castellanos Delgado Domínguez Duarte Durazo Dávalos Díaz De la Mora Durán Dueñas Dorantes Dávila Estevez Elizondo Escobar Escobedo Echeverría Espinoza Espino Escudero Estrada Esequiel Enríquez Figueroa Fernández Fontana Ferrer Feregrino Fierro Flores Fuentes Funes Fuertes Fregoso Franco García Graciado Gazcón Garcez Gavito Galván Gallegos Gómez Gordillo Guevara Guerrero Gil Góngora Hidalgo Hernández Higuera Huesca Hinojosa Hoyos Huerta Hurtado Herrera Heredia Holbein Ibarra Ibáñez Irineo Iniesta Islas Isunza Iturbe Iturbide Izquierdo Irineo Ibargüengoitia Jardón Jiménez Juárez Jacinto Jara Jasso Jorge Jaramillo Joya Jeréz Jurado Karrer Krazowski Ladrón Lara Laurel Ledesma Lezama Legorreta Lima Linares Luis Lozano López Lomelí Leyva Lamas León Lucio Luna Loera Limón Macedo Macías Mafún Maldonado Mancera Manjarrez Manzano Márquez Martínez Marín Méndez Mena Mercado Merino Meza Miranda Mojica Mondragón Monroy Montaño Montes Muñoz Mota Munguía Morán Mosqueda Mosco Morales Mantilla Malpica Machuca Meraz Mineros Millán Moreno Mujica Nájera Nava Navarrete Navarro Negrete Nery Nevárez Nuncio Naranjo Noguera Noyola Nieblas Noriega Núñez Ocampo Ortega Oca Ortíz Ochoa Ojeda Orozco Osio Onofre Olivares Olvera Ordaz Oropeza Otero Ovando Ovalle Pacheco Palacios Palma Pavón Paz Patrón Patiño Paredes Palomares Peralta Pelayo Pedroza Pascual Ponce Preciado Pérez Pulido Portillo Peña Peñaloza Pimentel Quiroz Quiñones Quintero Quintal Quino Quezada Ramos Rangel Rendón Ramírez Resendiz Ríos Rico Reza Reyes Rayón Ruiz Robles Rojas Rojo Román Romero Rosales Rodríguez Roa Rivero Rivera Reynaga Revueltas Rincón Rubio Rueda Rosado Rosas Rosales Roque Saavedra Sabugal Salas Salazar Sánchez Sandoval Santos Sepúlveda Sierra Sifuentes Sosa Soto Suárez Saenz Salgado Salamanca Salinas Sambrano Silva Simbrón Servín Tapia Tellez Tinoco Tejada Tamayo Torres Tolentino Tello Tejeda Troncoso Trujillo Ugalde Uribe Uzeta Ubaldo Ugalde Urbina Uribe Urzúa Vaca Valdéz Valdivia Velenzuela Vélez Velasco Vega Velázquez Vergara Villa Villaseñor Viloria Vilchis X XX XXX Yáñez Zepeda Zúñiga Zavala Zetina Zurita Zamoranoffaker-2.8.1/lib/ffaker/data/name_mx/female_first_names0000644000004100000410000000275613233715167023141 0ustar www-datawww-dataAdriana Argelia Aida Aidee Alba Alejandra Alicia Ana América Anabel Andrea Anahí Araceli Angélica Ángela Aurora Abigail Abril Adelina Aidé Alma Alondra Amanda Anabel Azucena Aura Auréa Balbina Beatriz Brenda Blanca Bárbara Belén Benita Berenice Bertha Brenda Brianda Carla Catalina Cecilia Celia Cinthia Citlali Claudia Cristal Cristina Carolina Casandra Carmen Camila Clara Clementina Constanza Delia Dulce Diana Dania Daniela Dulce Denisse Dora Elba Elia Eréndira Eva Edith Elena Elia Elisa Elsa Elvira Emilia Emma Erica Esmeralda Eunice Fabiola Fátima Fernanda Fabiola Flor Frida Francisca Gabriela Georgina Gloria Geraldine Gina Guadalup Gladis Heidi Hanna Hilda Helena Iliana Imelda Irene Iris Iraida Ivette Ivonne Ingrid Iris Irma Isabel Itzel Jaqueline Juana Judith Jazmín Jezabel Jimena Josefina Jovana Julia Karla Katya Karen Karina Laura Leticia Lilia Liliana Lirio Lorena Lucero Luz Leslie Linda Luisa Lucía Lisette Marina Mariana María Margo Mayra Mayte Marisol Marisa Marcela Maricela Mariel Melina Miriam Montserrat Marcia Margarita Magali Mara Mirna Mónica Mayra Martha Marlene Matilde Marcia Marina Norma Nayeli Natalia Nancy Nadia Nohemí Norma Nuria Nadia Obdulia Olga Olivia Oliva Paola Paula Patricia Petra Priscila Paloma Pamela Perla Paz Paulina Raquel Rebeca Rosa Rocío Roxana Ramona Rosario Rubí Ruth Rita Sandra Sara Selene Selma Silvia Sofía Susana Sonia Tania Tatiana Teresa Tamara Úrsula Verónica Viridiana Vanesa Viviana Virginia Vera Wendy Xiomara Xóchitl Yadira Zairaffaker-2.8.1/lib/ffaker/data/name_mx/male_first_names0000644000004100000410000000310413233715167022612 0ustar www-datawww-dataAaron Abraham Adán Adolfo Adrián Agustín Alan Alberto Aldo Alejandro Alfonso Alonso Andrés Ángel Apolinar Armando Arturo Abel Adrián Antonio Ariel Arquímides Axel Aurelio Augusto Arnulfo Aníbal Anselmo Amado Amador Baltazar Benito Benjamin Benito Braulio Bruno Bernardo Benancio Carlos Carmelo César Christian Claudio Clemente Cosme Cuauhtemoc Daniel David Darío Diego Domingo Donato Demetrio Eder Edgar Eduardo Eliseo Erick Efraín Ezequiel Elías Elvis Emanuel Eugenio Emilio Emiliano Enrique Ernesto Fernando Francisco Fabián Florente Felipe Félix Francisco Fidel Feliciano Fausto Fabricio Fermín Gerardo Germán Gibrán Guadalupe Guillermo Gregorio Giovani Genaro Gil Gustavo Guillermo Hazael Héctor Hilario Herminio Horacio Hugo Humberto Heriberto Horacio Homero Ignacio Irving Isaac Ismael Igor Iván Israel Isidro Jesús Jaime Jerónimo Javier Jorge José Josué Juan Jacinto Jacobo Julián Joel Joaquín Juventino Kevin Leonardo León Luis Leonel Lino Manuel Marcel Miguel Marco Martín Mario Marcelo Marcelino Margarito Marvin Mauro Mauricio Maximiliano Moisés Nabor Néstor Nicanor Nicandro Norberto Nicolás Noé Odín Octavio Olaf Oscar Oliver Omar Otilio Oswaldo Osiel Orlando Pablo Pedro Patricio Pánfilo Pascual Quetzalcóatl Rafael Ramón Ricardo René Rigoberto Roberto Rodolfo Rodrigo Ramsés Rafael Raúl Román Rubén Roque Roger Rolando Rogelio Salvador Sebastián Santiago Sergio Samuel Saúl Silverio Silvio Simón Seferino Tomás Temístocles Teodoro Ubaldo Ulises Uriel Vicente Víctor Valentín Vladimir Victoriano Wilberto Wilfredo Xavier Yael Yordi Yoshio Zoéffaker-2.8.1/lib/ffaker/data/name_sn/0000755000004100000410000000000013233715167017355 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/name_sn/last_names0000644000004100000410000000320513233715167021426 0ustar www-datawww-dataBadji Badiatte Badji Biagui Bassène Bodian Coly Diamacoune Diatta Diadhiou Diédhiou Deme Diémé Djiba Ehemba Goudiaby Himbane Mané Manga Sagna Sambou Sané Sonko Tamba Tendeng Badji Gomis Mané Vieira Carvalho Mendy Mané Preira Correia Basse Sylva Da_Sylva Fernandez Da_Costa Bakhoum Diop Diagne Gaye Gueye Ndoye Ndiour Samb Baloucoune Bandiacky Boissy Diompy Dupa Kabely Kaly Kantoussan Kassoka Kayounga Keny Malack Malèle Malomar Malou Mandika Mandiouban Mancabou Mantanne Mbampassy Médou Minkette Nabaline Nadiack Napel Ndecky Ndeye Niouky Ntab Nzale Panduppy Samy Boubane Bonang Bianquinch Bindian Bendian Bangonine Bapinye Bidiar Bangar Sadio Vieira Lopez Marques Preira Ndiaye Diouf Ndong Dioh Senghor Faye Dior Dione Seye Diongue Sene Dieye Sarr Seck Diaher Bop Kitane Kital Acc Aïdara Athie Aw Ba Baby Baldé Barro Barry Bathily Bousso Camara Cissé Dia Diamanka Diallo Diao Diaw Fassa Fofana Gadio Galadio Kâ Kane Maal Mbow Lo Ly Sall Seydi Sow Sy Sylla Tall Thiam Wane Wone Yock Amar Babou Diagne Diakhoumpa Goumbala Saady Sabara Sougou Sougoufara Tandiné Tandini Touré Diandy Aïdara Bathily Camara Cissé Cissoko Coulibaly Dabo Doumbia Doumbouya Diabang Diakhaté Diabira Diakité Dansokho Diakho Diarra Diawara Djimera Dramé Doucouré Fadiga Fofana Gakou Gandega Kanté Kanouté Keïta Koïta Konaté Niangane Sadio Sakho Samassa Sawane Sidibé Sissoko Soumaré Tandjigora Timera Traoré Touré Wagué Yatéra Boye Demba Dembelé Diack Diarra Dieng Diop Fall Gningue Hanne Kane Kassé Lèye Loum Marone Mbathié Mbaye Mbengue Mbodj Mbodji Mboup Mbow Ndao Ndaw Nder Ndiaye Ndour Niane Niang Niass Niasse Pouye Seck Sock Taye Thiam Thiongane Wadeffaker-2.8.1/lib/ffaker/data/name_sn/first_names_female0000644000004100000410000000314213233715167023123 0ustar www-datawww-dataAbibatou Aby Absa Adama Adiouma Adji Adja Aïcha Aïda Aïssatou Akinumelob Alima Alimatou Alinesiitowe Aloendisso Altine Ama Aminata Aminta Amy Amina Anta Arame Assa Assietou Astou Ata Atia Awa Awentorébé Ayimpen Banel Batouly Bigué Billé Binta Bineta Binette Binta Bintou Borika Bougouma Boury Bousso Ciramadi Codou Combé Coudouution Coumba Coumboye Coura Daba Dado Daka Debbo Défa Dewel Dewene Diakher Diakhou Dialikatou Dianké Diariatou Diarra Diary Dibor Dieourou Dior Diouma Djaly Djébou Djeynaba Dkikel Djilane Enfadima Fabala Fabinta Fadima Fakane Fama Fanta Farmata Fatima Fatou Fatoumatou Fily Garmi Gnagna Gnilane Gnima Gouya Guignane Guissaly Haby Hawa Heinda Holèl Issate Kankou Karimatou Kenbougoul Kéwé Kadiali Khadija Khadijatou Khady Khar Khary Khayfatte Khoudia Khoudjedji Khoumbaré Kiné Korka Laf Lama Léna Lika Lissah Liwane Mada Madior Madjiguène Maguette Mahawa Mame Mamina Manthita Marème Mariama Mamassa Mane Maty Mayatta Maymouna Mbarou Mbayeng Mbissine Mbossé Mingue Mintou Mouskéba Nafi Nbieumbet Ndella Ndeye Ndiarenioul Ndiasse Ndiaty Ndiémé Ndioba Ndiolé Ndioro Ndombo Néné Neyba Ngoné Ngosse Nguenar Nguissaly Niakuhufosso Niali Nialine Ningou Nini Niouma Oulèye Ouly Oulimata Oumou Oumy Oureye Penda Raby Raki Rama Ramatoulaye Ramata Rokhaya Roubba Roughy Sadio Safiétou Safi Sagar Sahaba Salimata Salamata Sanakha Sarratou Saoudatou Sawdiatou Selbé Sell Seynabou Seyni Sibett Siga Sira Sirabiry Soda Sofiatou Sofietou Sokhna Souadou Soukeye Soukeyna Tabara Tacko Taki Tening Téwa Tiné Thiomba Thiony Thioro Thioumbane Tocka Tokoselle Toly Walty Yadicone Yacine Yandé Yayeffaker-2.8.1/lib/ffaker/data/name_sn/first_names_male0000644000004100000410000000416013233715167022611 0ustar www-datawww-dataAbba Abdallah Abdou Abdoulatif Abdoulaye Abdourahmane Ablaye Abou Adama Agouloubene Aïnina Aladji Alassane Albouri Alfa Alfousseyni Aliou Alioune Allé Almamy Amadou Amara Amath Amidou Ansoumane Anta Arfang Arona Assane Ass Aziz Baaba Babacar Babou Badara Badou Bacar Baïdi Baila Bakari Ballago Balla Bamba Banta Bara Bassirou Bathie Bayo Becaye Bilal Biram Birane Birima Biry Bocar Bodiel Bolikoro Boubacar Boubou Bougouma Bouly Bouna Bourkhane Bransan Cheikh Chérif Ciré Daly Dame Daouda Daour Demba Dényanké Diakhou Dial Dialamba Dialegueye Dianco Dicory Diégane Diène Dierry Diokel Diokine Diomaye Djibo Djibril Djiby Doudou Dramane ElHadj Elimane Facourou Fadel Falilou Fallou Famara Farba Fatel Fodé Fodey Fodié Foulah Galaye Gaoussou Gora Gorgui Goumbo Goundo Guidado Habib Hadiya Hady Hamidou Hammel Hatab Iba Ibrahima Ibou Idrissa Insa Ismaïl Ismaïla Issa Isshaga Jankebay Jamuyon Kader Kainack Kalidou Kalilou Kambia Kao Kaourou Karamo Kéba Khadim Khadir Khalifa Khamby Khary Khoudia Khoule Kor Koutoubo Lamine Lamp Landing Lat Latif Latsouck Latyr Lémou Léou Leyti Libasse Limane Loumboul Maba Macky Macodou Madia Madické Mady Mactar Maffal Maguette Mahécor Makan Malal Malamine Malang Malaw Malick Mallé Mamadou Mamour Mansour Maodo Mapaté Mar Massamba Massar Masseck Mbagnick Mbakhane Mbamoussa Mbar Mbaye Mébok Médoune Meïssa Modou Moktar Momar Mor Mountaga Moussa Moustapha Namori Ndane Ndiack Ndiaga Ndiankou Ndiaw Ndiawar Ndiaya Ndiogou Ndiouga Ndongo Ngagne Ngor Nguénar Niakar Niankou Niokhor Nouh Nouha Npaly Ogo Omar Opa Oumar Oury Ousmane Ousseynou Papa Pape Papis Pathé Racine Sadibou Sacoura Saër Sahaba Saïdou Sakhir Salam Salif Saliou Saloum Samba Samori Samsidine Sandigui Sankoun Sanokho Sécouba Sédar Sékou Semou Senghane Serigne Seyba Seydina Seydou Sibiloumbaye Sidate Sidy Siéka Sihalébé Sihounke Silly Socé Sogui Soireba Solal Sonar Souleymane Soundjata Sounkarou Souty Tafsir Talla Tamsir Tanor Tayfor Tekheye Tété Thiawlo Thierno Thione Tijane Tidjane Toumani Vieux Wagane Waly Wandifing Wasis Woula Woury Yacouba Yafaye Yakou Yankhoba Yerim Yero Yoro Yougo Younouss Youssou Yussu Youssoufaffaker-2.8.1/lib/ffaker/data/address_us/0000755000004100000410000000000013233715167020071 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_us/state_abbr0000644000004100000410000000023013233715167022115 0ustar www-datawww-dataAL AK AZ AR CA CO CT DE DC 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 WYffaker-2.8.1/lib/ffaker/data/address_us/state0000644000004100000410000000072713233715167021142 0ustar www-datawww-dataAlabama 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 Wyomingffaker-2.8.1/lib/ffaker/data/address_us/state_and_territories_abbr0000644000004100000410000000027113233715167025377 0ustar www-datawww-dataAL AK AS AZ AR CA CO CT DE DC FM FL GA GU HI ID IL IN IA KS KY LA ME MH MD MA MI MN MS MO MT NE NV NH NJ 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Amalina Amaliya Amaliyah Ambarsari Ambyah Amillia Aminuddin Aminudin Amirudin Amirullah An`nissa Anandhita Anarizqi Anastasia Andaru Anddriansyah Andhika Andika Andikasari Andiputeri Andiyani Andraeni Andrayani Andreas Andrian Andriani Andriansyah Andrianto Andriantoro Andriyan Andryan Angelia Angelica Anggara Anggisa Anggit Anggita Anggiyani Anggraeni Anggraini Anggreini Anggreni Angkoso Angraini Anilsonrizka Anindhita Anindhyta Anindya Anistasari Anistia Anjani Anjelina Annisafajarrini Annisah Annisya Antarressa Anthonius Antobri Antonius Anugerah Apriana Apriandari Apriandi Apriani Aprianti Aprianto Apriany Aprihantina Aprilia Aprilian Aprilianti Aprilianto Apriliany Apriliya Aprillia Aprillian Aprilliana Aprilyanti Apriska Apriyandi Apriyani Apriyanti Apriyanto Apryana Arbaniyah Ardhito Ardiahanni Ardiani Ardiansyah Ardianti Ardianto Ardiyansyah Arfandy Arfiandri Arfiansyah Arfianti Argustia Ariansyah Arianti Arianto Ariesco Arifian Arifuddin Aristian Aritonang Ariyadi Ariyani Arnimas Artanti Arviana Aryanti Aryanto Asma'ulludin Asmarani Asmoro Aspiyanti Assairy Assyifa Astiana Astriana Astriani Astrimalia Astrini Atiiqah Atmadja Audeane Auliani Avianti Avicenna Avriyanti Awaludin Awandra Ayniyah Ayuningrum Ayuningtyas Azairus Azarnis Bachrun Bachtiar Badarudin Badriah Badriyyah Bagaskoro Bagong Baharudin Baihaki Baihaqi Balgohom Bambang Barizah Barkah Barnabas Basahil Baskara Baskoro Basomario Bastian Basuki Begananda Belinda Belland Bellina Berliana Bernard Bestari Bethara Bethari Bharata Biandhika Bimoputra Bimosekti Binawan Bintang Binthan Bismoko Budiaji Budianto Budiarti Budiarto Budiman Bunyamin Busthomi Buwono Caesarani Cahayani Cahyadi Cahyadianti Cahyani Cahyati Canadia Capricornia Carolina Cempaka Cendikia Chaerani Chaerunissah Chairil Chairun Chairunisa Chandra Chandriani Chantika Charell Chelvia Chikmatul Choerunisya Choiriyah Choirunnisa Cholidya Cholifah Chollis Christian Christina Christine Christoper Chusaeni Cicilia Cicitri Cindhe Claudia Condro Cosiolienti Crisnia Cyanophyta Damaiyanti Damanik Damaratri Damayanthi Damayanti Darmawa Darmawan Darmayanti Darussalam Darwinto Dawamah Dekatuanty Desianuri Destana Destyan Desyanna Detiarni Deviana Dewanegoro Dewanto Dewantri Dewinta Dhaifina Dhianty Dhimas Diananda Dianita Diastuti Dimasyq Diniyah Dipanata Djubairah Djulpaka Dotulong Dumadi Dwintha Dwiputra Dwiputri Dwiyanti Dwiyanto Dwiyono Dzikrian Dzikyrullah Effendi Eizabeth Ekaputri Ekarianti Ekasari Eleonora Elhajri Elizabeth Elmainiati Elserida Elsinda Eltanin Emeraldy Emiliya Emprit Endrawan Endrayani Erianty Erikson Erlando Erlinda Ermawati Ernanda Eryantie Estriana Estu/hestu Euisnawati Evayanti Eveline Fachriani Fadhilah Fadhillah Fadhlah Fadilah Fadilla Fadillah Fadliah Fadlyansyah Fahlevi Fahrian Fahriansyah Fahrudin Fahrurrozi Fahthia Faineisya Fajarianto Fajarmeidia Fajarrudin Fajriah Fajrini Fakhriy Fakhrurrazi Faliani Fandini Farasari Fardani Fardiyansyah Farhana Farhanah Farhani Fariani Faridah Faridhaniati Farrogi Fathihani Fathoni Fatimah Fatiyatus Faujiah Faustin Fauziah Fauziyah Fauziyyah Fazriani Febrian Febriani Febriansyah Febrianti Febriantinah Febriany Febriyana Febriyanie Febriyanto Febryan Felicia Fellygrina Ferdian Ferdiansyah Ferdinand Ferizal Ferlizan Ferriawan Fharastina Fikriyah Firdaus Firdayanti Firdiyanti Firmansyah Firmanyah Firnita Fithrina Fithriyamah Fitriana Fitriani Fitrianingsih Fitriari Fitrilia Fitriya Fitriyah Fitriyana Fitriyani Fitriyanti Florensia Francine Frangky Fransisca Fransisco Fransiska Frastiansyah Fredyca Friyadi Fujiastuti Gaeauli Ganesha Garnesia Garudho Gathot Gemilang Ghazali Ghozali Giandoly Giantri Ginting Girsang Goesyen Goranov Gregorius Gucciano Gumelar Gunardi Gunawan Guniawati Guntur Guritno Gurusinga Guslinda Gusmaida Gustiana Gutilani Habeahan Habibah Hadimaulana Hadinata Hadisaputra Hadisusanto Hafizhul Hairani Halimah Hamdani Hamengku Handayani Handini Handoko Handrian Handriansyah Handrias Handriyan Hanifah Hanipah Haniputra Hantari Hapipah Hapsara Hapsari Haqqoni Harahap Harapan Hardawina Hardian Hardiansyah Hardianto Hardimas Harfiani Harisma Haristiara Harjanti Harjuno Harmuzain Harryansha Harseno Hartarto Hartono Haryadi Haryandi Haryanto Hasanah Hasanti Hasanuddin Hasaryo Hashilah Hasibuan Hasnita Hayatun Hedytia Hendratno Hendriawan Hendrix Hennyta Henrina Herawati Herdanto Herdian Herdiansyah Heriyanto Herlina Hermansyah Hermanto Hermawan Hermawati Hernaningsih Hernawa Hernawaty Hervianty Herwina Heryansen Hestiningsih Hidayah Hidayanti Hidayat Hidayati Hidayatulah Hidayatullah Hikmiah Hildansyah Hillary Himawan Hshaini Husaini Husnullabib Hutasuhut Ibrahim Idevitra Ihsaniel Imaniar Imansyah Imarnia Immanuel Indonesiana Indrahayu Indrawan Indrayati Indriana Indrianawati Indriani Indritiana Indriyani Inrachman Inriany Insanti Irmasari Irmawati Irnanda Irnawati Irsandyk Irsyanih Irwandi Irwansyah Isfihani Iskandar Ismarinah Ismawati Ismoyo Isnaini Isro`atun Istawati Istiyanti Istrianingsih Istyadi Iswandi Iswiyanto Izharruddn Izharul Jamaludin Januari Januarizky Jatikusumo Jauhari Jayantie Jayanto Jayatrus Jayusman Jeremia Jessica Johardi Jonatan Jonathan Jonthan Josephine Judidtrichwanto Juliansyah Julianto Juliarti Juliyani Juliyanto Jumaini Junaedi Junaedy Junaidi Juniansyah Juniarto Juniati Junizar Kahirunnisa Kamalia Kamalludin Kancil Kandidah Karennita Karinatasya Karinina Karlina Karnianto Kartika Kartikasari Karunia Karyadi Kautsar Kemuning Kencono Kenongo Kevinsyah Khadijah Khaidir Khairul Khairunnisa Kharisma Khawasyi Khoiriyah Khoirunnisa Kholipah Khomaudin Khotimah Khusnul Kinanti Kinasih Kirono Kiswanto Koesuma Komalasari Komaryana Kresnadi Kresno Krismawati Kristina Kristiyana Kristiyani Kristiyono Kumolo Kuncahyo Kuniawan Kuntadi Kurniadi Kurnianto Kurnianty Kurniati Kurniawan Kurniawansyah Kurniawati Kurniwati Kurniyawan Kusdinar Kusumasari Kusumastuti Kusumawardhanny Kusumo Kuswara Kuswarini Ladayna Lailiyah Laksamana Laksana Laksmana Laksmilusia Laksono Langgeng Langit Larasati Latifah Laurensiana Lawrenza Lazuardika Lazuardy Legowo Leksono Lembayung Leonardi Leonardo Lesmono Lestari Lianatus Lihukay Limawan Lintang Lisandy Lisiani Lismaiyeni Lismayati Lisnawati Listiani Listianty Listiyani Listyana Listyanti Louhenapessy Luciana Lugiarto Lunasti Lusiana Lusiyani Luthfiyah Machdianata Maerissa Magdalena Maghfirah Maghfiroh Mahadhika Maharani Maharany Mahardika Mahardini Mahdalena Mahfreska Mahfudzzeihan Mahmiatun Mahmudin Maianit Maimanah Maisari Makalew Maleakhi Maliani Mansell Mansyur Marcela Marcelena Marceleni Marchella Marchia Mardani Mardhotillah Mardiah Mardiyah Mardona Marganti Margina Margitio Marianah Marifah Mariyani Marlina Marshelly Marthasoebrata Martini Martodo Marudut Marulitua Marvalia Maryani Maryanto Maryati Masfiyah Masfufah Mashaful Masneno Mastriza Matriyas Maulana Maulida Maulidina Maulidya Maulidyah Mayangsari Mayoshi Mayrintan Maysaroh Mayurika Meddyanka Megawati Meiilianita Meiliana Meilizar Meisiany Meisyaroh Meliana Meliani Meliawaty Meliyantha Melliana Mellisani Menggolo Mentari Merianti Merlinda Meryana Methirana Meylissa Meytika Michael Mickhael Misbahul Mlathi Mochamad Mochammad Mohamad Mohamma Mohammad Monalisa Mrlinda Mubaraq Mubarok Mubarrok Muchamad Muchlas Muchlis Muflihanny Mughtifa Muhaimin Muhajirin Muhamad Muhamamad Muhammad Muhammd Muharom Muharya Muhendri Muhtadan Mukaromah Mukharomah Muliati Muliyasari Mulyadi Mulyanah Mulyani Mulyaning Mulyawati Munandar Munanjar Munziat Murdiyanti Mursalin Mursalina Murtado Murtafikoh Murtika Musfiroh Musrifah Mustakin Mustaqim Mustika Mustiko Mustofa Mutahar Mutaqin Muthi'ah Mutiara Muzakiyah Muzalifah Nababan Nabella Nabilla Nafilah Nainggolan Nangkulo Napsiah Narwastu Nasikhatun Nasirrudin Nastiti Nasution Nasyiah Natasya Nayyiroh Negoro Neovita Nerissa Nigusriana Niladita Nilasari Nilawaty Ningrat Ningrum Ningsih Ningtrias Nirmala Nirmolo Nispurwati Nofriansyah Nopitasari Nopriatin Norrofi Novarea Novariana Novelez Novialita Noviana Noviani Novianni Novianti Novianty Novitasari Noviyanti Novizah Novoriyana Novrian Novrida Novyannisari Nugraha Nugraheni Nugroho Nuitania Nurahyanah Nuraini Nuralamsah Nurazizah Nurbaiti Nurbalqies Nurdhana Nurdiani Nurdiansyah Nurdianti Nurdianza Nurdini Nurfiani Nurfita Nurhakim Nurhariani Nurhasanah Nurhayati Nurhidayat Nurisworo Nurjaman Nurjamin Nurjanah Nurlaili Nurlandia Nurlela Nurlidyawati Nurmala Nurmalasari Nurmalina Nurmalita Nurmansyah Nurmatin Nurmaulana Nurochman Nurpadilah Nurrachman Nursaadah Nursina Nurullah Nurullita Nuswantoro Octavfiana Octavia Octavian Octaviani Oentung Okramia Oktanto Oktapiani Oktaria Oktarini Oktavian Oktaviana Oktaviane Oktaviani Oktavianus Oktaviyanti Oktianingsih Okzianty Osfaldo Pahlawan Palembang Pambudi Pamungkas Pancaran Pangastuti Pangestika Pangestu Panggabean Panggastuti Panjaitan Paramitha Pariana Parlindungan Parmanta Parulian Parwita Patriasa Patricia Pengaribowo Perdana Permadi Permana Permata Permatahati Permatasari Persada Pertiwi Perwira Perwiro Pinasty Prabawanti Prabayu Prabowo Pradana Pradanna Pradena Pradhana Pradika Pradipta Pradita Pradono Prakoso Pramadani Pramana Pramayoga Pramesh Pramestiara Pramitha Pramono Pramudhita Pramudika Pranadjaya Pranoto Prapdipta Prasetio Prasetiyo Prasetya Prasetyaningsih Prasetyo Prasojo Prastaji Prastiyo Prastuti Prastya Prastyo Praswito Pratama Pratiwi Pratiwie Pratiyo Pratomo Prawira Prawirawan Prawiro Prayuda Prengki Prialmanda Priantini Prihantoro Prihata Prihatin Primalukyta Primastuti Priskilla Priyanti Priyanto Priyatna Priyotomo Pujiwijayanti Pujiyanto Puntodewo Puonggo Purantoro Purbono Purboyo Purisna Purmalasari Purnama Purnami Purnawan Purnita Purnomo Purwaningsih Purwanti Purwanto Purwasih Purwati Puspadara Puspaningtyas Puspasari Puspita Puspitarini Puspitasari Puspito Puspitoningrum Putranto Putriani Qhotimah Qomarianah Qurachman Rachmadiary Rachman Rachmana Rachmandhika Rachmaningtyas Rachmat Rachmawati Radista Raditia Raesulah Rahadian Rahadiansyah Rahardi Raharjo Rahmadani Rahmadevi Rahmadhani Rahmadi Rahmadiah Rahmadiani Rahmansyah Rahmatika Rahmawati Rahmawaty Rahmeika Rahmiany Rahmita Rakafsya Rakhman Rakhmatia Ramadan Ramadanti Ramadhan Ramadhani Ramadhaniyah Ramadhanti Ramadhanty Ramadhina Ramadhon Ramadhony Ramayona Ramdany Ramdhan Ramdhani Ramdhini Ranggadara Raninda Rantika Rarasyufah Ratnani Ratnasari Ravelino Rayendra Rayindra Refa'januar Reizkia Renaldi Renaldy Renanto Renatha Restiana Revindra Reynaldi Reyvindra Rhetorica Rhezardi Rianita Rianjani Riansyah Richard Richardi Richlah Ridhowati Riduwan Rieyansah Rifandy Rifansah Rifdatunnisa Rijaldi Rijatmoko Rinaldi Rinaldy Riskawati Riskyta Rismayanti Ristiawan Rivaldy Riyadi Riyanto Rizalulhaq Rizkiah Rizkita Rizkitavania Rizkylia Robbani Roberta Robianto Rochmah Rochyadi Rofi'rizky Rohhana Rohmalia Rohmatulloh Romadhon Romadhona Romansyah Rosalina Rosandi Rosandy Rosdiana Rosdiyanah Rosiana Rosihan Roslini Rosmayani Rostiana Rostiawati Roswati Rosyadi Rowahullnisfi Ruchiat Rudiansyah Rukmasari Ruminda Rumondang Rurihandayani Rusninah Rustandi Sa'adah Sabilla Sabrina Sabtati Sadewo Safitri Sahadia Saharani Sahidah Sahroni Sahupala Saifullah Sakarudin Salahuddin Salsabilah Samganeka Sampurna Sanggih Sanjaya Sanjoyo Santika Santoso Saparudin Sapoetra Saptadji Saptaji Saputra Saputri Saputro Saragih Sarasita Saraswati Sardimuhalim Sarhapi Sarifatah Sarimaria Sarinastity Saripudin Sarjiantini Sartika Sartikah Sarujih Sarwendah Sarwindah Sasmita Sastrawan Sastrawati Satriyo Sattria Saulana Savitri Sawitri Sefiana Sefriyana Seftiani Selpiyah Selvianna Semalawati Sembojo Senjaya Septeni Septiadi Septian Septiana Septiani Septianingrum Septiano Septianto Septiawan Septiyani Septyanto Septyorini Setiadi Setiaji Setiana Setianingsih Setiapradana Setiawan Setiawanagus Setiawati Setiyanto Setyandin Setyanegoro Setyaningrum Setyaningsih Setyawan Setyawati Shabrina Shafari Shafaringga Shafira Shahapi Shalihah Shamlan Shannen Shiddiq Shintawati Shintia Shintya Shofiyah Sholihat Shoummaya Siburian Sicilia Sihotang Siliviana Silvera Silviani Silvinita Simbolon Sinatra Singarimbun Singgih Sintikhe Sintiya Sintong Siregar Sirojjudin Siswanto Sitorus Slamet Sobirin Sodikin Soemantri Soewandi Sofriyan Solichah Solihani Solihati Sotanto Soviana Srengenge Stefany Stefhani Stepanus Stephanes Stianingsih Stievhen Suandari Subagiyo Subekti Suciadi Suciati Suciyani Sudarma Suderazat Sudibyono Sudiyantono Sudrajat Sufriyanti Sugandi Sugesti Sugianto Suharman Suharningsih Suharti Suhartini Suharto Suhendar Suhendra Suherman Sujarwo Sujatmiko Sujiati Sujiwandono Sukaesih Sukamto Sukarni Sulaeman Sulistia Sulistiwan Sulistyaningrum Sulistyo Sumantri Sumayya Sumerat Sunandar Sunardy Sunarti Sundari Sunilela Suntana Suntoro Supardi Supoyo Supriadi Suprihatin Supriyadi Supriyanto Supriyatna Surbakti Surgamayanti Suryadi Suryadinata Suryaman Suryani Suryaningsih Suryaningtyas Suryanti Susanti Susanto Susiantika Susilo Susilowati Susisanti Suswani Sutanto Sutantyo Sutaprawira Sutedja Sutiagus Sutiman Sutriatmojati Sutrisno Suwandaru Suwardesiah Suwarno Swadipta Swandhana Sya'bani Syaeful Syafitri Syahbana Syahida Syahputra Syahputri Syahrial Syahril Syahrudi Syahrul Syaifudin Syaiful Syaifullah Syaifulloh Syairopi Syamiela Syamsika Syaputra Syarafina Syarifah Syarifatul Syefiyani Syehaffer Syepvin Tamalia Tambunan Tampubolon Tanamas Tangkas Tantiana Tanuwijaya Tanwilis Taripartio Tariscaanit Taufikkurrachman Taurina Thariqi Theodorus Theresa Thufeil Tiffany Tirtayasa Tjondronegoro Tohpati Treesmayanti Triantama Trianti Tristia Triwibowo Triyanto Tubagus Tunggul Tursina Turyana Tyastika Ubaidillah Uhammad Unggul Untoro Urrahman Usbatun Uswatun Vahlevy Veliayanti Verdian Vernandy Veronica Vibrianosa Virgianti Virgiawan Virgiyanti Virgorita Vistuti Vizandi Wahidin Wahyningsih Wahyudi Wahyudin Wahyuni Wahyuningsih Wahyusaputra Waluyo Wangsit Waratri Wardani Warliyah Warseno Wening Wibisono Wibowo Wicaksana Wicaksono Widawati Widiana Widiarti Widiasari Widiastuti Widiati Widiatuti Widiawati Widiharjo Widiyansyah Widiyanti Widiyastuti Widyanto Widyarto Widyati Widyatuti Widyawati Wigati Wijayanto Wijiyanti Wijoyo Wildati Wildiansyah Wiliyadin William Willyam Wimeyda Winanti Windratno Winduwiro Wiradinata Wiradiputra Wirahdika Wirahdikasaptadji Wiranata Wirawan Wisanggeni Wiselie Wiyantara Wiyanti Wiyoto Wizanarko Wulandari Yamanah Yaniarti Yansyah Yaputra Yasafitri Yennifer Yolanda Yonatan Yudhistira Yudistyra Yuliana Yuliandiani Yulianingsih Yuliansyah Yulianti Yulianto Yulisga Yulistiana Yulisty Yuliyanti Yunarni Yuniartha Yuniarti Yuniarto Yuningtias Yunovitri Yusianna Yusinta Yusnitasari Zaenudin Zainnatu Zakaria Zamalludin Zamhuri Zharfandy Zuhrudin Zulaikha Zulaini Zulfaqor Zulfikar Zulhendri Zulistiawan ffaker-2.8.1/lib/ffaker/data/name_id/first_names_female0000644000004100000410000000324313233715167023101 0ustar www-datawww-dataAdinda Afifah Alisa Alya Amalia Amanda Ambar Ambarwati Aminah Andini Andrea Anggi Anggita Anggra Anggraeni Ani Anindita Anisa Anita Aprilia Arini Aristi Ariyani Aulia Ayu Azizah Banowati Belinda Bella Bentari Bianca Carissa Catur Chandra Christina Cintana Cintya Cut Cyndi Dahlia Damar Daniati Dara Dea Debi Dessy Dewanti Dewi Dina Dini Dona Dwi Echa Eka Elly Elvira Ema Eni Erika Erlita Eva Evelyn Evi Evita Fanny Farah Fatimah Fatma Fauziah Febi Febina Febri Fifi Fitri Fitrianti Gabriela Gadisa Galuh Gantari Gianti Gisella Hafizah Halimah Hana Hani Hazrina Hilda Icha Ida Ika Ike Ima Ina Indah Indana Indri Inka Intan Ira Irma Isti Ita Ivanka Jainab Jasinta Jesika Jessica Juli Juli Julia Jumiati Juminten Juni Junita Kadek Kadijah Kamila Karina Karolina Kartini Kikan Kiki Kinanti Kinaryosih Kirana Komala Kristin Kristina Kusumaningrum Laila Lala Lani Laura Laurentia Lena Leni Leticia Lidya Lies Lily Lina Linda Lisa Lola Lopita Lulu Lusie Lutfia Maemunah Maesaroh Maria May Maya Melisa Melly Mia Mira Misa Mita Monika Munaroh Munawaroh Muryati Nabila Nadia Najma Nana Nani Nelly Nike Nila Nilam Nisa Norma Nova Novi Novianti Nunik Nur Nurhayati Nuri Nurma Oktaviani Oktavianti Oktavita Olla Omanda Parwati Penny Pevita Pradita Prasetyani Prianti Priganti Prilly Prisilia Puitika Purwati Puti Putri Rahma Rahmawati Raisa Rani Rania Ranti Rara Rere Rika Rina Rini Riri Risa Risna Roro Sabrina Sandra Santi Sarah Saras Sari Septi Sinta Siti Soraya Susi Tami Tania Tari Tasya Tati Teti Tika Tina Tisya Titi Tiwi Tri Tuti Ukhti Ully Umi Usmaini Vani Vanny Vanya Vetty Vina Vivi Voni Wanda Warda Wati Widia Widya Widyawati Wulan Wulandari Yanti Yasina Yasinta Yeyen Yuyun Zahida Zahra Zainab Zara ffaker-2.8.1/lib/ffaker/data/name_id/first_names_male0000644000004100000410000000364113233715167022570 0ustar www-datawww-dataAbdul Abi Abidin Achmad Adam Adang Adi Aditya Adjie Adrian Ageng Agung Agus Ahmad Akmal Alan Aldi Amir Andi Andre Andri Anto Anton Antonio Anwar Arfan Asep Awan Bagas Bahri Bakti Bayu Bejo Bimo Brian Budi Burhan Cahyo Chairil Chandra Cipto Coki Danang Dandi Dani Daniel Darmadi Daud David Dedi Defri Dendi Dewa Dirga Dodi Doni Dono Edi Edo Edwin Effendi Ega Eki Eko Eri Evan Fachri Fadli Fahmi Fahreza Fajar Fajri Fajrul Faris Febri Felix Ferdian Feri Fikri Firman Fitrianto Fuad Gafar Galih Gandi Gatot Geofani Geri Gibran Gito Guntur Gusti Habib Hadi Haidar Hakim Halim Handi Hari Harmoko Haryo Hasto Hasyim Hendra Hendri Hendro Hengki Herjuno Herman Hikmanto Husein Husni Hutomo Ibnu Ichsan Idris Ilyas Iman Imran Indra Irwan Ivan Jaelani Jajang Jamal Januar Jaya Jefri Jodi Johan Jojon Joko Jono Juli Jumadi Jumanto Kahfi Kardah Kardi Karmadi Karno Kartono Khoir Kholid Kholiq Krisna Kristanto Krisyanto Kuntoaji Kurniawan Kusuma Lamhot Lanang Lenggo Ludi Luki Lukito Lukman Lulung Made Mahdi Mahmud Malik Maman Mansyur Mario Martin Marvin Miko Mufti Mukti Munir Mursyid Nanang Nandar Nano Naufal Nizar Novan Novrianto Nur Nur Nurdin Nurhadi Oemar Oki Okto Ongki Pandu Panji Pardi Pardian Parto Paryanto Paul Pepen Pitoyo Priadi Priyo Puji Putra Putu Qomar Qutub Rachim Raden Rahmad Raihan Raja Ramdan Randi Rasyid Rendi Rendra Riadi Rian Ridwan Rino Rio Ristanto Rizki Romli Ronald Roni Rudi Rudolf Rusman Ruswandi Ryan Sadewo Sahid Saiful Salim Sandro Sapto Sarwono Sendi Sidiq Sigit Soleh Sugito Sukardi Sukarno Sulaiman Sunaryo Surya Syahroni Syahrul Syarif Syauqi Taufik Tedi Teguh Tejo Teuku Thomas Tian Tino Tirto Tito Tohir Tommy Toni Tono Toto Tri Tugiman Tukino Tukiyo Uli Umar Untung Usman Utomo Utoro Viki Viktor Virda Wahono Wahyu Waluyo Wardoyo Wawan Wibowo Widianto Widodo Wijaya Wira Wirawan Wiryawan Wisnu Yakub Yandi Yanto Yasin Yayan Yayat Yogi Yoni Yono Yoseph Yudha Yudi Yudo Yusak Yusuf Zainal Zainul Zakaria Zakky Zawadi Ziko ffaker-2.8.1/lib/ffaker/data/name_kr/0000755000004100000410000000000013233715167017351 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/name_kr/last_names0000644000004100000410000000147213233715167021426 0ustar www-datawww-data가 간 갈 감 강 강전 개 견 경 계 고 곡 공 곽 교 구 국 군 궁 궉 권 근 금 기 길 김 나 라 난 란 남 남궁 낭 랑 내 노 로 뇌 뢰 누 루 단 담 당 대 도 독고 돈 동 동방 두 류 마 만 망절 매 맹 명 모 목 묘 묵 문 미 민 박 반 방 배 백 범 변 복 봉 부 비 빈 빙 사 사공 삼 상 서 서문 석 선 선우 설 섭 성 소 소봉 손 송 수 순 승 시 신 심 십 아 안 애 야 양 량 어 어금 엄 여 려 연 련 염 렴 엽 영 예 오 옥 온 옹 왕 요 용 룡 우 운 원 위 유 류 육 륙 윤 은 음 이 리 인 임 임 림 자 장 장곡 저 전 점 정 제 제갈 조 종 좌 주 준 즙 증 지 진 차 창 채 천 초 최 추 탁 탄 태 판 팽 편 평 포 표 풍 피 필 하 학 한 함 해 허 현 형 호 홍 화 환 황 황보 후 흥ffaker-2.8.1/lib/ffaker/data/name_kr/first_names0000644000004100000410000002200213233715167021602 0ustar www-datawww-data가경 경빈 규람 규로 규리 규빈 강규 강근 강모 강민 강백 강태 강택 강필 건도 건모 건표 경규 경균 경남 경대 경도 경륜 경모 경무 경백 경복 경률 경태 경택 경표 경필 공명 공민 교묵 국길 국도 국만 국태 군길 군모 규강 규건 규경 규광 규만 규민 규백 규범 규탁 규태 기남 기담 기동 기룡 기륭 기문 기민 기백 기복 기봉 기탁 기태 기택 기표 남희 내경 내정 내형 나경 나리 나영 나우 나희 난경 난영 남연 남이 남인 난욱 난호 남경 남기 남도 남룡 남익 남헌 남혁 남현 남호 남훈 다람 다연 다영 다예 다원 다은 다인 다일 다현 다혜 다호 도현 동연 동주 동희 두연 두희 다환 대건 대권 대규 대근 대기 대길 대동 대로 대언 대엽 대영 대용 대우 대운 대원 대하 대한 대허 대현 대협 대형 대호 대훈 대희 덕원 도형 도훈 동건 동관 동광 동구 동권 동규 동근 동기 동길 동륜 동률 동엽 동영 동오 동우 동운 동원 동윤 동하 동학 동해 동헌 동현 동협 동호 동화 동훈 두열 두영 두원 두하 두학 두한 두헌 두혁 두현 두협 두형 두호 두홍 두환 무선 미강 미선 미성 미송 민경 민교 민서 민선 민정 민지 명기 명성 명진 모준 모찬 목준 목찬 무길 무민 무찬 무창 문국 미광 미권 미범 미준 민강 민건 민걸 민관 민광 민구 민규 민근 민기 민길 민배 민백 민범 민상 민석 민성 민송 민수 민승 민재 민제 민조 민종 민준 민찬 민창 민채 민철 백선 보길 보민 보배 보빈 본주 부선 부성 부송 비선 비성 반석 배문 백강 백광 백규 백민 백범 백산 백삼 백상 백송 백준 백찬 백철 범근 범기 범길 범모 범식 범준 범진 범찬 범천 범철 병걸 병관 병국 병권 병규 병기 병길 병만 병모 병민 병서 병석 병선 병섭 병수 병식 병재 병조 병주 병준 병지 병진 병찬 병창 병채 병천 병철 병필 보경 보광 보준 본광 본규 본근 본기 본길 본무 본서 본석 본승 본준 본찬 본창 봉수 봉천 부광 부길 부민 부석 부찬 부창 비강 비건 비산 비삼 비창 사미 사빈 사영 상빈 상아 상연 상유 상윤 상은 서빈 서양 서연 서영 서원 서윤 서은 서일 서정 서진 서하 서현 서희 선빈 선영 선오 선용 선우 선운 선일 선진 성빈 성신 성아 성안 성연 성윤 성은 성주 성화 세빈 세연 세은 세인 세일 세진 소민 소범 소언 소연 소영 소일 소정 소준 소진 소현 소형 송민 송연 송우 송원 송윤 송이 수민 수빈 수아 수양 수연 수영 수예 수원 수유 수인 수진 수하 수현 수혜 순민 순빈 순하 승빈 승선 승연 승은 승이 승인 승주 승희 시연 시영 시완 시원 시윤 시진 신안 신양 신연 신열 신영 신예 신우 신원 사범 사열 사준 사호 사홍 산오 산우 산일 산호 삼우 삼욱 삼운 삼원 삼윤 삼재 삼정 삼준 삼헌 삼혁 삼현 삼호 상모 상무 상문 상민 상배 상백 상봉 상선 상수 상열 상영 상오 상우 상욱 상운 상원 상익 상인 상일 상재 상준 상진 상철 상필 상학 상헌 상혁 상현 상호 상환 서욱 서준 서찬 서창 서필 서호 서홍 서환 서훈 석모 석무 석문 석민 석봉 석수 석영 석오 석우 석운 석원 석윤 석인 석일 석주 석준 석진 석찬 석하 석헌 석현 석호 석환 석훈 선모 선찬 선필 선호 선환 선훈 성모 성무 성묵 성문 성민 성배 성수 성식 성열 성오 성용 성우 성운 성원 성인 성일 성재 성준 성진 성찬 성철 성필 성헌 성현 성호 성환 성훈 세왕 세찬 세현 세호 세화 세환 세훈 소찬 소환 소훈 손호 손환 송열 송욱 송운 송재 송주 송준 송찬 송하 송헌 송호 송환 송회 송훈 수백 수석 수열 수용 수운 수웅 수일 수정 수종 수준 수찬 수창 수철 수헌 수혁 수호 수홍 수환 수황 수훈 순식 순신 순양 순열 순영 순오 순용 순우 순욱 순일 순재 순찬 순창 순필 순헌 순혁 순현 순호 순홍 순환 승오 승종 승준 승진 승학 승환 시준 시찬 시형 시환 시훈 신민 신석 신성 신오 신용 신욱 신일 신조 신준 신찬 신철 신현 신호 신홍 신화 신환 아연 아영 아진 양원 양윤 연진 연서 연선 연수 예리 예림 예서 예원 예일 예준 예지 예진 우노 우영 우용 우원 우윤 우인 유나 유람 유리 유상 유선 유수 유원 유인 유임 유정 유진 윤서 윤선 윤소 은도 은상 은서 의서 의선 의수 의진 이나 이도 이륜 이림 이서 이영 이정 이지 이진 이현 이화 인서 인선 인유 인진 아승 안오 안중 양우 양운 양재 양호 양환 연남 연두 연오 연우 연운 연일 연준 연중 연진 연태 연호 열호 영서 영수 영승 영우 영운 영윤 영재 영중 영호 영환 예종 오준 완우 와운 용오 용우 용인 용일 용재 용천 용태 용환 우도 우람 우렴 우석 우성 우승 우식 우열 우일 우재 우종 우준 우진 우창 우천 우철 우탄 우태 우혁 우호 운상 운승 운오 운우 운원 운일 운재 운천 운태 웅우 웅인 웅재 웅천 웅태 웅호 원상 원석 원오 원종 원진 원철 원태 원호 원효 유성 유승 유영 유오 유운 유윤 유일 유재 유조 유중 유찬 유천 유철 유태 유항 유호 유환 윤상 윤석 윤수 윤승 윤오 윤우 윤일 윤재 윤조 윤중 윤창 윤천 윤태 윤형 윤호 윤환 윤효 율우 은대 은환 의환 이석 이성 이열 이웅 이워 이재 이준 이증 이창 이철 이환 인량 인석 인성 인수 인열 인오 인요 인용 인우 인웅 인원 인재 인준 인중 인직 인창 이철 인태 인한 인항 인혁 인호 인훈 일오 일원 일윤 일재 일천 일태 일훈 임오 임우 임천 임태 임환 자빈 자예 장빈 장선 장안 장연 재빈 재서 재선 재연 정민 정빈 정서 정선 정영 정예 정완 정우 정원 정유 정윤 정인 정하 정현 정효 제빈 전윤 정민 정빈 정서 정선 정선 정완 정요 정우 정원 정유 정윤 정의 정인 정하 정현 정효 제빈 조서 조운 제원 조윤 조인 조일 종연 종윤 종효 주빈 주서 주선 주영 주원 주윤 주이 주형 지민 지빈 지서 지선 지수 지언 지연 지영 지유 지윤 지은 자용 자혁 자호 자환 장번 장복 장오 장용 장우 장운 장원 장윤 장일 장이 장준 장진 장찬 장필 장학 장혁 장호 장환 장호 장훈 재문 재민 재벽 재오 재완 재용 재우 재욱 재운 재웅 재원 재유 재윤 재익 재인 재일 재준 재진 재찬 재창 재필 재혁 재형 재호 재환 재효 재훈 전윤 전훈 정만 정배 정범 정섭 정수 정열 정엽 정요 정용 정의 정일 정재 정준 정찬 정천 정철 정필 정혁 정호 정환 정훈 제성 제용 제우 제욱 제웅 제원 재유 재윤 재익 재인 재일 재준 재진 재찬 재창 재필 재혁 재형 재호 재환 재효 재훈 전훈 정만 정배 정범 정섭 정수 정열 정엽 정영 정예 정용 정일 정재 정준 정찬 정천 정철 정필 정혁 정호 정환 정훈 제성 제용 제우 제원 제준 제진 제찬 제혁 제환 제훈 종오 종우 종원 종인 종일 종학 종호 종환 종훈 좌준 좌혁 주백 주상 주용 주일 주청 주필 주혁 주호 주환 주훈 준모 준민 준오 준우 준원 준일 준필 준형 준호 준환 중민 중우 중원 중현 중호 지섭 지오 지용 지우 지욱 지운 지원 지응 지익 지일 지준 지혁 지형 지호 지홍 지환 지훈 진명 진모 진문 진민 진영 진오 진우 진운 진원 진일 진필 진형 진호 진환 차빈 차연 채성 채송 채연 채우 채윤 채은 채희 차준 차혁 차현 차환 차훈 창무 창복 창연 창우 창욱 창운 창윤 창조 창현 창호 창환 창희 채문 채정 채필 채환 천용 천우 천운 천준 천혁 천환 천훈 철오 철원 철윤 철형 철호 철환 청모 청무 청문 청오 청운 청원 청윤 청호 청환 추원 추윤 추호 추환 충원 태희 태근 태길 태룡 태륜 태륭 태림 태영 태오 태용 태우 태운 태원 태윤 태융 태익 태인 태한 태혁 태호 태홍 태후 태훈 판겸 판규 판석 판섭 판성 판승 판식 평진 포규 포겸 표묵 표문 표섭 표성 필규 필묵 필범 필성 필승 하승 하운 하윤 해서 해선 해인 향선 현서 현선 혜승 혜우 호영 호윤 호인 호원 호임 호정 화령 화선 효서 후원 후윤 희우 희운 희원 희윤 한윤 하일 하재 하태 한수 한승 한오 한원 항우 항원 항윤 항인 항일 항재 해수 해준 해환 헌환 현석 현성 현수 현섭 현승 현우 현호 형우 형주 형철 형필 형환 혜일 혜천 혜호 혜환 호섭 호승 호운 호일 호재 호제 호준 호철 호환 환승 환원 환윤 환인 환재 효곤 효상 훈승 훈오 훈일 훈재 훈항 훈호 훈호 희승 희오 희일 희재 희천 희태ffaker-2.8.1/lib/ffaker/data/job_br/0000755000004100000410000000000013233715167017172 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/job_br/job_nouns0000644000004100000410000000117513233715167021115 0ustar www-datawww-dataArquiteto Astro do Rock Atendente Atleta Bibliotecário Biomédico Biólogo Bombeiro Caixa Chef de Cozinha Cientista Consultor DJ Dentista Deputado Desenvolvedor de Software Designer Diarista Diretor de Cinema Eletricista Encanador Enfermeiro Engenheiro Civil Engenheiro Eletricista Engenheiro Mecânico Engenheiro Químico Engenheiro do Petróleo Gerente Maqueiro 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Physical Therapy Bachelor of Science in Physics Bachelor of Science in Plant Science Bachelor of Science in Politics Bachelor of Science in Psychology Bachelor of Science in Public Safety Bachelor of Science in Quantity Surveying Engineering Bachelor of Science in Radiologic Technology Bachelor of Science in Real-Time Interactive Simulation Bachelor of Science in Religion Bachelor of Science in Respiratory Therapy Bachelor of Science in Risk Management and Insurance Bachelor of Science in Science Education Bachelor of Science in Sports Management Bachelor of Science in Systems Engineering Bachelor of Music in Jazz Studies Bachelor of Music in Composition Bachelor of Music in Performance Bachelor of Music in Theory Bachelor of Music in Music Education Bachelor of Science in Veterinary Technology Master of Accountancy Master of Advanced Study Master of Applied Finance Master of Applied Mathematical Sciences Master of Applied Science Master of Architecture Master of Arts Master of Arts in Liberal Studies Master of Arts in Strategic Communication Management Master of Arts in Teaching Master of Bioinformatics Master of Business Administration Master of Business Administration Management of Technology Master of Business Master of Business Economics Master of Business Engineering Master of Business Informatics Master of Chemistry Master of City Planning Master of Commerce Master of Computational Finance Master of Computer Applications Master of Computer Science Master of Communication Master of Counseling Master of Criminal Justice Master in Creative Technologies Master of Design Master of Divinity Master of Economics Master of Education Master of Educational Technology Master of Engineering Master of Engineering Management Master of Enterprise Master of European Law Master of Finance Master of Financial Economics Master of Financial Engineering Master of Financial Mathematics Master of Fine Arts Master of Health Administration Master of Health Science Master of Humanities 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Health Informatics Master of Science in Human Resource Development Master of Science in Information Assurance Master of Science in Information Systems Master of Science in Information Technology Master of Science in Leadership Master of Science in Management Master of Science in Nursing Master of Science in Project Management Master of Science in Quality Assurance Master of Science in Risk Management Master of Science in Supply Chain Management Master of Science in Teaching Master of Science in Taxation Master of Social Science Master of Social Work Master of Statistics Master of Strategic Studies Master of Studies Master of Surgery Master of Theological Studies Master of Technology Master of Theology Master of Urban Planning Master of Veterinary Science Doctor of Business Administration Doctor of Canon Law Doctor of Chiropractic Doctor of Commerce Doctor of Dental Surgery Doctor of Divinity Doctor of Education Doctor of Engineering Doctor of Health Administration Doctor of Health Science Doctor of Juridical Science; Juris Doctor Doctor of Law; Legum Doctor Doctor of Liberal Studies Doctor of Management Doctor of Medicine Doctor of Ministry Doctor of Musical Arts Doctor of Naturopathic Medicine Doctor of Optometry Doctor of Osteopathic Medicine Doctor of Pharmacy Doctor of Philosophy Doctor of Public Administration Doctor of Science Doctor of Theology Doctor of Veterinary Medicine ffaker-2.8.1/lib/ffaker/data/education/school_suffix0000644000004100000410000000011013233715167022476 0ustar www-datawww-datawood dale ridge ville point field shire shore crest spur well side coastffaker-2.8.1/lib/ffaker/data/education/degree_short_prefix0000644000004100000410000000012513233715167023660 0ustar www-datawww-dataAB BS BSc BCom BCA BE BTech BPharm BEd MPharm ME MTech MA MD MCA MSc MCom DMus DPhil ffaker-2.8.1/lib/ffaker/data/education/major_noun0000644000004100000410000000021113233715167021774 0ustar www-datawww-dataScience Arts Administration Engineering Management 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approach architecture archive artificial intelligence array attitude benchmark budgetary management capability capacity challenge circuit collaboration complexity concept conglomeration contingency core customer loyalty database data-warehouse definition emulation encoding encryption extranet firmware flexibility focus group forecast frame framework function functionalities Graphic Interface groupware Graphical User Interface hardware help-desk hierarchy hub implementation info-mediaries infrastructure initiative installation instruction set interface internet solution intranet knowledge user knowledge base local area network leverage matrices matrix methodology middleware migration model moderator monitoring moratorium neural-net open architecture open system orchestration paradigm parallelism policy portal pricing structure process improvement product productivity project projection protocol secured line service-desk software solution standardization strategy structure success 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monetize harness facilitate seize disintermediate synergize strategize deploy brand grow target syndicate synthesize deliver mesh incubate engage maximize benchmark expedite reintermediate whiteboard visualize repurpose innovate scale unleash drive extend engineer revolutionize generate exploit transition e-enable iterate cultivate matrix productize redefine recontextualizeffaker-2.8.1/lib/ffaker/data/company/catch_mid0000644000004100000410000000223713233715167021245 0ustar www-datawww-data24 hour 24/7 3rd generation 4th generation 5th generation 6th generation actuating analyzing assymetric asynchronous attitude-oriented background bandwidth-monitored bi-directional bifurcated bottom-line clear-thinking client-driven client-server coherent cohesive composite context-sensitive contextually-based content-based dedicated demand-driven didactic directional discrete disintermediate dynamic eco-centric empowering encompassing even-keeled executive explicit exuding fault-tolerant foreground 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De-engineered Devolved Digitized Distributed Diverse Down-sized Enhanced Enterprise-wide Ergonomic Exclusive Expanded Extended Face to face Focused Front-line Fully-configurable Function-based Fundamental Future-proofed Grass-roots Horizontal Implemented Innovative Integrated Intuitive Inverse Managed Mandatory Monitored Multi-channelled Multi-lateral Multi-layered Multi-tiered Networked Object-based Open-architected Open-source Operative Optimized Optional Organic Organized Persevering Persistent Phased Polarised Pre-emptive Proactive Profit-focused Profound Programmable Progressive Public-key Quality-focused Reactive Realigned Re-contextualized Re-engineered Reduced Reverse-engineered Right-sized Robust Seamless Secured Self-enabling Sharable Stand-alone Streamlined Switchable Synchronised Synergistic Synergized Team-oriented Total Triple-buffered Universal Up-sized Upgradable User-centric User-friendly Versatile Virtual Visionary Vision-orientedffaker-2.8.1/lib/ffaker/data/address_sn/0000755000004100000410000000000013233715167020062 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_sn/regions0000644000004100000410000000016113233715167021451 0ustar www-datawww-datadakar diourbel fatick kaffrine kaolack kolda kedougou louga matam saint louis sedhiou tambacouda thies ziguinchorffaker-2.8.1/lib/ffaker/data/address_sn/arrondissements0000644000004100000410000000115313233715167023225 0ustar www-datawww-dataBiscuiterie Cambérène Dieuppeul-Derklé Fann-Point E-Amitié Gueule Tapée-Fass-Colobane Gorée Grand Yoff Grand Dakar Hann Bel-Air HLM Médina Mermoz-Sacré-Cœur Ngor Ouakam Parcelles Assainies Patte Doie Dakar-Plateau Sicap-Liberté Yoff Dalifort Djidah Thiaroye Kaw Guinaw Rail Nord Guinaw Rail Sud Pikine Est Pikine Nord Pikine Ouest Keur Massar Malika Yeumbeul Nord Yeumbeul Sud Diamaguène Sicap Mbao Mbao Thiaroye Gare Thiaroye Sur Mer Tivaouane Diacksao Golf Sud Médina Gounass Ndiarème Limamoulaye Sam Notaire Wakhinane Nimzatt Rufisque Est Rufisque Nord Rufisque Ouest Thiès Est Thiès Nord Thiès Ouestffaker-2.8.1/lib/ffaker/data/address_sn/departements0000644000004100000410000000057413233715167022506 0ustar www-datawww-datadakar pikine guediawaye rufisque bambey diourbel mbacke fatick foundiougne gossas Kaolack Guinguineo nioro du rip kolda velingara medina yoro foulah Kebemer Linguere Louga Kanel Matam Ranerou Dagana Podor Saint-Louis Bakel Koumpentoum Tambacounda Mbour Thies Tivaouane Bignogna Oussouye Ziguinchor Birkilane Kaffrine Malem Hodar Kedougou Salemata Saraya Bounkiling Goudomp Sedhiouffaker-2.8.1/lib/ffaker/data/name_cs/0000755000004100000410000000000013233715167017342 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/name_cs/prefixes0000644000004100000410000000013413233715167021110 0ustar www-datawww-dataBc. BcA. Mgr. MgA. Ing. Ing. arch. JUDr. MDDr. MUDr. MVDr. PharmDr. PhDr. RNDr. ThDr. ThLic.ffaker-2.8.1/lib/ffaker/data/color/0000755000004100000410000000000013233715167017053 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/color/names_list0000644000004100000410000000265713233715167021146 0ustar www-datawww-dataaliceblue antiquewhite aqua aquamarine azure beige bisque black blanchedalmond blue blueviolet brown burlywood cadetblue chartreuse chocolate coral cornflowerblue cornsilk crimson cyan darkblue darkcyan darkgoldenrod darkgray darkgrey darkgreen darkkhaki darkmagenta darkolivegreen darkorange darkorchid darkred darksalmon darkseagreen darkslateblue darkslategray darkslategrey darkturquoise darkviolet deeppink deepskyblue dimgray dimgrey dodgerblue firebrick floralwhite forestgreen fuchsia gainsboro ghostwhite gold goldenrod gray grey green greenyellow honeydew hotpink indianred indigo ivory khaki lavender lavenderblush lawngreen lemonchiffon lightblue lightcoral lightcyan lightgoldenrodyellow lightgray lightgrey lightgreen lightpink lightsalmon lightseagreen lightskyblue lightslategray lightslategrey lightsteelblue lightyellow lime limegreen linen magenta maroon mediumaquamarine mediumblue mediumorchid mediumpurple mediumseagreen mediumslateblue mediumspringgreen mediumturquoise mediumvioletred midnightblue mintcream mistyrose moccasin navajowhite navy oldlace olive olivedrab orange orangered orchid palegoldenrod palegreen paleturquoise palevioletred papayawhip peachpuff peru pink plum powderblue purple red rosybrown royalblue saddlebrown salmon sandybrown seagreen seashell sienna silver skyblue slateblue slategray slategrey snow springgreen steelblue tan teal thistle tomato turquoise violet wheat white whitesmoke yellow yellowgreenffaker-2.8.1/lib/ffaker/data/address_id/0000755000004100000410000000000013233715167020036 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_id/city0000644000004100000410000000165113233715167020734 0ustar www-datawww-dataBanda Langsa Lhokseumawe Meulaboh Sabang Subulussalam Denpasar Belitung Cilegon Serang Tangerang Tangerang Bengkulu Gorontalo Jakarta Barat Jakarta Pusat Jakarta Selatan Jakarta Timur Jakarta Utara Sungai Penuh Jambi Bandung Bekasi Bogor Cimahi Cirebon Depok Sukabumi Tasikmalaya Banjar Magelang Pekalongan Purwokerto Salatiga Semarang Surakarta Tegal Batu Blitar Kediri Madiun Malang Mojokerto Pasuruan Probolinggo Surabaya Pontianak Singkawang Banjarbaru Banjarmasin Palangkaraya Balikpapan Bontang Samarinda Tarakan Batam Tanjungpinang Bandar Lampung Kotabumi Liwa Metro Ternate Tidore Ambon Tual Bima Mataram Kupang Sorong Jayapura Dumai Pekanbaru Makassar Palopo Parepare Palu Bau-Bau Kendari Bitung Kotamobagu Manado Tomohon Bukittinggi Padang Padangpanjang Pariaman Payakumbuh Sawahlunto Solok Lubuklinggau Pagaralam Palembang Prabumulih Binjai Medan Padang Sidempuan Pematangsiantar Sibolga Tanjungbalai Tebingtinggi Yogyakarta ffaker-2.8.1/lib/ffaker/data/address_id/state_abbr0000644000004100000410000000014313233715167022065 0ustar www-datawww-dataAC BA BB BE BT GO JA JB JI JK JT KB KI KR KS KT LA MA MU NB NT PA RI SA SB SG SN SR SS ST SU PB YO ffaker-2.8.1/lib/ffaker/data/address_id/state0000644000004100000410000000064513233715167021106 0ustar www-datawww-dataAceh Bali Bangka Belitung Bengkulu Banten Gorontalo Jambi Jawa Barat Jawa Timur Jakarta Raya Jawa Tengah Kalimantan Barat Kalimantan Timur Kepulauan Riau Kalimantan Selatan Kalimantan Tengah Lampung Maluku Maluku Utara Nusa Tenggara Barat Nusa Tenggara Timur Papua Riau Sulawesi Utara Sumatera Barat Sulawesi Tenggara Sulawesi Selatan Sulawesi Barat Sumatera Selatan Sulawesi Tengah Sumatera Utara Papua Barat Yogyakarta ffaker-2.8.1/lib/ffaker/data/address_id/common_street_names0000644000004100000410000000524313233715167024026 0ustar www-datawww-dataAbdul Halim Abdul Halim Majalengka Abdul Haris Nasution Abdul Kadir Abdul Malik Karim Amrullah Abdul Muis Abdul Rahman Saleh Abdul Wahab Hasbullah Andi Abdullah Bau Massepe Achmad Subarjo Adam Malik Adnan Kapau Gani Nyi Ageng Serang Agus Salim Agustinus Adisucipto Ahmad Dahlan Ahmad Rifa'i Ahmad Yani Alimin Amir Hamzah Antasari Arie Frederik Lasut As'ad Syamsul Arifin Bagindo Azizchan Basuki Rahmat Bernard Wilhelm Lapian Teungku Chik di Tiro Cilik Riwut Cipto Mangunkusumo Cokroaminoto Ernest Douwes Dekker Dewi Sartika Cut Nyak Dhien Diponegoro Donald Izacus Panjaitan Eddy Martadinata Fakhruddin Fatmawati Ferdinand Lumbantobing Frans Kaisiepo Gatot Mangkupraja Gatot Subroto Halim Perdanakusuma Hamengkubuwono I Hamengkubuwono IX Harun Bin Said Hasan Basri Hasanuddin Hasyim Asy'ari Hazairin Herman Johannes Ida Anak Agung Gde Agung Idham Chalid Ilyas Yakoub Tuanku Imam Bonjol Radin Inten II Iskandar Muda Ismail Marzuki Iswahyudi Iwa Kusumasumantri Izaak Huru Doko Jamin Ginting Janatin Jatikusumo Andi Jemma Johannes Abraham Dimara Johannes Leimena Juanda Kartawijaya Karel Satsuit Tubun Kartini Ignatius Joseph Kasimo Katamso Darmokusumo I Gusti Ketut Jelantik Tidak diketahui I Gusti Ketut Puja Ki Bagus Hadikusumo Ki Hajar Dewantara Ki Sarmidi Mangunsarkoro Kiras Bangun Kusumah Atmaja La Maddukelleng Lambertus Nicodemus Palar John Lie Mahmud Badaruddin II Mangkunegara I Andi Mappanyukki Maria Walanda Maramis Martha Christina Tiahahu Marthen Indey Mas Isman Mas Mansur Mas Tirtodarmo Haryono Maskun Sumadireja Cut Nyak Meutia Mohammad Hatta Mohammad Husni Thamrin Mohammad Natsir Mohammad Yasin Teuku Muhammad Hasan Muhammad Mangundiprojo Muhammad Yamin Mustopo Muwardi Nani Wartabone I Gusti Ngurah Made Agung I Gusti Ngurah Rai Noer Alie Nuku Muhammad Amiruddin Teuku Nyak Arif Opu Daeng Risaju Oto Iskandar di Nata Pajonga Daeng Ngalie Pakubuwono VI Pakubuwono X Pattimura Pierre Tendean Pong Tiku Raja Ali Haji Raja Haji Fisabilillah Rajiman Wediodiningrat Ranggong Daeng Romo Rasuna Said Robert Wolter Monginsidi Saharjo Sam Ratulangi Samanhudi Silas Papare Sisingamangaraja XII Siswondo Parman Siti Hartinah Siti Walidah Slamet Riyadi Soetomo Sudirman Albertus Sugiyapranata Sugiyono Mangunwiyoto Suharso Sukarjo Wiryopranoto Sukarni Sukarno Sultan Agung Andi Sultan Daeng Radja Supeno Supomo Suprapto Supriyadi Suroso Suryo Suryopranoto Sutan Syahrir Sutomo Sutoyo Siswomiharjo Syafruddin Prawiranegara Syarif Kasim II Tahi Bonar Simatupang Tuanku Tambusai Tan Malaka Thaha Syaifuddin Tirtayasa Tirto Adhi Suryo Teuku Umar Untung Surapati Urip Sumoharjo Wage Rudolf Supratman Wahid Hasyim Wahidin Sudirohusodo Wilhelmus Zakaria Johannes Yos Sudarso Yusuf Tajul Khalwati Zainal Mustafa Zainul Arifin ffaker-2.8.1/lib/ffaker/data/name_pl/0000755000004100000410000000000013233715167017350 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/name_pl/male_last_names0000644000004100000410000000363713233715167022430 0ustar www-datawww-dataAdamiec Adamiuk Adamowski Andrzejewski Arciszewski Bachleda Badowski Bagiński Baran Bielecki Biernacki Błach Błaszyczykowski Boguski Borowski Buczkowski Butkiewicz Chełmicki Chmiel Chomicki Ciechanowski Czachowski Czerwiński Dąbek Dąbrowski Dębski Dobrzański Domagalski Dudek Dutkiewicz Filipowicz Fornalski Frankowski Frydrych Gadowski Galiński Gałczyński Gawlik Gawłowski Giedroyć Glinka Godlewski Gombrowicz Grzesiak Halicki Hernik Ignatowicz Iwański Jabłczyński Jabłoński Janicki Jankowski Janowski Jastrzębski Józefowicz Jurczyk Kaczmarek Kaczmarski Kaczorowski Kalinowski Karpiński Karwowski Kasprowicz Kijowski Klimaszewski Kłosiński Kłosowski Kmiecik Kołłątaj Kołodziejski Kononowicz Korwin Koszewski Kot Kowal Kowalczyk Kowalski Kownacki Kozakiewicz Kozłowski Krajewski Krasiński Kraszewski Krauze Krawczyk Królikowski Kucharski Kukiz Kurowski Kuźniar Kwiatkowski Lewandowski Łazarczyk Łuczak Maciejewski Mackiewicz Makowski Malczewski Malinowski Marciniak Mazur Mazurkiewicz Mączyński Michnik Milewski Młynarczyk Motyka Murawski Musiał Nawrocki Nowacki Nowak Nowakowski Nycz Olejniczak Olszewski Orłowski Ostrowski Paprocki Pazura Piątek Piechota Piekarski Pietrasiak Pietrzykowski Piwowarczyk Pluta Polański Pośpiech Radwański Radziński Raniszewski Rataj Regulski Rogalski Rudnicki Rybicki Ryś Sadowski Sarnowski Sieradzki Siudek Smolarek Smolik Sobczak Sopoćko Starzyński Stoch Stychlerz Surma Szcześniak Szczęsny Szymański Śliwa Ślusarski Świerczyński Tarczyński Tarnowski Tatarczyk Terlecki Topolski Trzciński Turowski Tyszka Urbaniak Urbański Waglewski Walczak Walicki Waligórski Waszkiewicz Wesołowski Wielopolski Wierzbowski Wilczyński Wilk Winnicki Wiśniewski Witkowski Włodarczyk Wodziński Wojciechowski Wolski Woźniak Wójcik Wójtowicz Wróblewski Zagumny Zajączkowski Zaremba Zarzecki Zawadzki Zawisza Zawiślak Zieliński Ziopaja Zych Żmuda Żukowski Żurawski ffaker-2.8.1/lib/ffaker/data/name_pl/female_last_names0000644000004100000410000000363713233715167022743 0ustar www-datawww-dataAdamiec Adamiuk Adamowska Andrzejewska Arciszewska Bachleda Badowska Bagińska Baran Bielecka Biernacka Błach Błaszyczykowska Boguska Borowska Buczkowska Butkiewicz Chełmicka Chmiel Chomicka Ciechanowska Czachowska Czerwińska Dąbek Dąbrowska Dębska Dobrzańska Domagalska Dudek Dutkiewicz Filipowicz Fornalska Frankowska Frydrych Gadowska Galińska Gałczyńska Gawlik Gawłowska Giedroyć Glinka Godlewska Gombrowicz Grzesiak Halicka Hernik Ignatowicz Iwańska Jabłczyńska Jabłońska Janicka Jankowska Janowska Jastrzębska Józefowicz Jurczyk Kaczmarek Kaczmarska Kaczorowska Kalinowska Karpińska Karwowska Kasprowicz Kijowska Klimaszewska Kłosińska Kłosowska Kmiecik Kołłątaj Kołodziejska Kononowicz Korwin Koszewska Kot Kowal Kowalczyk Kowalska Kownacka Kozakiewicz Kozłowska Krajewska Krasińska Kraszewska Krauze Krawczyk Królikowska Kucharska Kukiz Kurowska Kuźniar Kwiatkowska Lewandowska Łazarczyk Łuczak Maciejewska Mackiewicz Makowska Malczewska Malinowska Marciniak Mazur Mazurkiewicz Mączyńska Michnik Milewska Młynarczyk Motyka Murawska Musiał Nawrocka Nowacka Nowak Nowakowska Nycz Olejniczak Olszewska Orłowska Ostrowska Paprocka Pazura Piątek Piechota Piekarska Pietrasiak Pietrzykowska Piwowarczyk Pluta Polańska Pośpiech Radwańska Radzińska Raniszewska Rataj Regulska Rogalska Rudnicka Rybicka Ryś Sadowska Sarnowska Sieradzka Siudek Smolarek Smolik Sobczak Sopoćko Starzyńska Stoch Stychlerz Surma Szcześniak Szczęsny Szymańska Śliwa Ślusarska Świerczyńska Tarczyńska Tarnowska Tatarczyk Terlecka Topolska Trzcińska Turowska Tyszka Urbaniak Urbańska Waglewska Walczak Walicka Waligórska Waszkiewicz Wesołowska Wielopolska Wierzbowska Wilczyńska Wilk Winnicka Wiśniewska Witkowska Włodarczyk Wodzińska Wojciechowska Wolska Woźniak Wójcik Wójtowicz Wróblewska Zagumna Zajączkowska Zaremba Zarzecka Zawadzka Zawisza Zawiślak Zielińska Ziopaja Zych Żmuda Żukowska Żurawska ffaker-2.8.1/lib/ffaker/data/name_pl/female_first_names0000644000004100000410000000170313233715167023117 0ustar www-datawww-dataAdela Agata Agnieszka Aleksandra Alicja Alina Aneta Aniela Anna Antonina Barbara Beata Bernadeta Boguchwała Bogumiła Bogusława Bożena Cecylia Celina Czesława Danuta Dominika Dorota Edyta Eleonora Eliza Elżbieta Emilia Ewa Ewelina Fatima Faustyna Felicja Franciszka Gabriela Genowefa Gertruda Grażyna Halina Hanna Helena Helga Henryka Honorata Ida Iga Ilona Iwona Izabela Jadwiga Janina Joanna Jolanta Jowita Józefa Julia Julianna Justyna Kaja Kamila Karina Karolina Katarzyna Kazimiera Klara Klaudia Kornelia Krystyna Laura Leokadia Lidia Lucyna Lilianna Łucja Magdalena Maja Malwina Małgorzata Marcelina Maria Marianna Mariola Marta Martyna Marzena Michalina Mieczysława Mirosława Monika Nadzieja Natalia Oktawia Olga Oliwia Patrycja Paulina Pola Regina Renata Roksana Rozalia Róża Sławomira Stanisława Stefania Sylwia Tekla Teodora Teresa Urszula Wanda Weronika Wiktoria Wiesława Władysława Włodzimiera Zdzisława Zofia Zuzanna Zyta Żaneta ffaker-2.8.1/lib/ffaker/data/name_pl/male_first_names0000644000004100000410000000170013233715167022601 0ustar www-datawww-dataAdam Adrian Albert Aleksander Alfred Alojzy Amadeusz Ambroży Andrzej Antoni Artur Bartłomiej Bartosz Benedykt Bernard Błażej Bogdan Bogumił Bogusław Bolesław Bożydar Bronisław Cezary Cyprian Cyryl Czesław Damian Daniel Dariusz Dawid Dominik Edmund Edward Emil Eryk Ferdynand Filip Franciszek Fryderyk Gaweł Gerwazy Gracjan Grzegorz Gustaw Henryk Hieronim Horacy Hubert Ignacy Igor Ildefons Ireneusz Iwo Jacek Jakub Jan Janusz Jarosław Jerzy Jędrzej Józef Julian Kacper Kajetan Kamil Karol Kazimierz Konrad Krzysztof Lech Leon Leopold Lew Lucjan Ludwik Łukasz Maciej Maksymilian Marcin Marek Marian Mariusz Mateusz Michał Mieczysław Mikołaj Miłosz Mirosław Norbert Oskar Patryk Paweł Piotr Przemysław Radosław Rafał Robert Roman Ryszard Sebastian Sławomir Stanisław Sylwester Szczepan Szymon Tadeusz Tobiasz Tomasz Tymoteusz Wacław Waldemar Walerian Wiesław Wiktor Witold Władysław Włodzimierz Wojciech Zbigniew Zdzisław Zygmunt ffaker-2.8.1/lib/ffaker/data/cheesy_lingo/0000755000004100000410000000000013233715167020405 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/cheesy_lingo/cheesy_phrases0000644000004100000410000000350613233715167023341 0ustar www-datawww-dataseparate the curds from the wey taste and texture in all colours - tongue in cheek in an artisan farmerhouse team cheesy says hi raw milk is unpasteurized bergkäse from the Alps wash, rinse, repeat cheese paring with wine with Dutch courage the sticky nature of processed cheese can make it difficult to slice, but soft ripening cheese for applewood smoked blue fungi in cream garlic cheese biscuits the milky way of Penicillium roqueforti harmful secondary metabolites New York cheesecake but round cheeses are to be cut in wedges, like a cake say cheese cheeseparing they were so cheesed off a good alternative to cheesecloth the slice of cheese is placed on top of the meat patty processed cheese has several technical advantages over traditional cheese washed curd cheese cut to size blend the flour, cheese and of cheesy business lingo they can also age quite well in ripening cellars where the whiter and fresher the cheese, the crisper and fruitier the wine should be the early bird may get the worm, but the second mouse gets the cheese in the trap salt, pepper, mustard and vinegar dutch sandwich the moon is made of green cheese and until the wheels form a white coat of penicillium moulds is like chalk and cheese but poets have been mysteriously silent on the subject of cheese cut the cheese so cute but cheesy double dutch or he old cheese dairy buildings, situated on the historic site blessed are the cheesemakers but don't you agree? It is no use crying over spilled milk when the rennet is added, curds are formed 10 grilled cheese sandwiches you should try immediately with Sheridans Cheesemongers it is blue sky thinking of the Friesian herd What do you call cheese that isn't yours? Nacho Cheese; trying too hard, unsubtle, and inauthentic coagulation of the milk protein casein and wrap blue cheeses all over as mould spores spread readilyffaker-2.8.1/lib/ffaker/data/cheesy_lingo/cheesy_words0000644000004100000410000000036113233715167023026 0ustar www-datawww-datacheesy melting sharp cheesecake blue stinky smoked Gouda cheesed nutty Emmentaler fat smooth sticky buttery elastic affinage soft springy alpine salty Brie briney cheese artisan farmer milk fluffy cream toast! DOC cottage cheese grated dairyffaker-2.8.1/lib/ffaker/data/name_then/0000755000004100000410000000000013233715167017673 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/name_then/last_names0000644000004100000410000000124413233715167021745 0ustar www-datawww-dataAromdee Atitarn Bunyasarn Chaiprasit Chaisurivirat Chiawat Jetatikarn Jetjirawat Juntasa Kadesadayurat Kaewburesai Kaouthai Kasamsun Kitjakarn Kongkatitum Kongpaisarn Kongsangchai Kraiputra Kunakorn Kunchai Kurusarttra Leekpai Leelapun Lertkunakorn Maleenon Maneerattana Meesang Narkbunnum Narkhirunkanok Nimitwanitch Ornlamai Paowsong Parnpradub Parnthong Pornpipatpong Prasongsanti Puntasrima Punyawong Rojjanasukchai Rojumanong Saenamuang Sakda Sangsorn Shinawatra Sirisopa Somwan Songprawati Sripituksakul Srisati Sriwarunyu Sukbunsung Suntornnitikul Suppamongkon Suttirat Tawisuwan Thumying Tuntayakul Udomprecha Vipavakit Visalyaputra Wattanapanit Wattanasin Yongjaiyut ffaker-2.8.1/lib/ffaker/data/name_then/nick_names0000644000004100000410000000017313233715167021726 0ustar www-datawww-dataBum Chai Chock Faa Kan Kung Lek Mai May Mee Moo Nam Nan Nin Nit Noi Nok Nu Nui Pet Pla Poo Pui Sam Som Tai Tao Toi Uan Yai ffaker-2.8.1/lib/ffaker/data/name_then/first_names0000644000004100000410000000433213233715167022132 0ustar www-datawww-dataA-gun A-wut Aat Aawut Achara Adranuch Ambhom Anada Ananada Anchali Anuman Anurak Apasra Apsara Aran Aroon Asnee Atid Benjakalyani Boon-Mee Boon-Nam Boribun Bun Ma Buppha Busaba Bussaba Chaem Choi Chai Charoen Chai Son Chailai Chaisai Chaisee Chaiya Chaiyo Chakan Chalerm Chalermchai Chalermwan Chaloem Chai Chaloem Channarong Chantana Chanthira Chao Fah Charanya Chariya Charn Chai Charoen Charoenrasamee Charong Charunee Chatalerm Chatchada Chatchom Chatmanee Chatrasuda Chatri Chaveevan Chayan Chet Chimlin Chinda Chintana Chirawan Chomechai Chomesri Chompoo Chongrak Choochai Chuachai Chuachan Chuanchen Chuasiri Chuenchai Chula Chulamai Churai Dao Dara Daw Decha Dok Mai Dok Phi Sua Dok Rak Dok-Ban-Yen Dusadi Fa Ying Han Hansa Hanuman Hom Isra Ittiporn Kaew Kalaya Kamala Kamlai Kamnan Kanchana Kannika Kanok Kanya Karawek Karnchana Kasem Kasemchai Khemkhaeng Khiew Wan Khun Mae Kiet Kit Kitti Kittibun Kittichai Kittichat Kla Han Kla Klaew Kla Klahan Kob Chai Kob Khun Kob Sinn Kob Sook Kohsoom Kosum Kovit Kraisee Kraisingha Kriang Krai Kriang Sak Kris Kukrit Kulap Kusa Kwanchai Kwang Kwanjai Lamai Lamon Lawan Lek Madee Mae Noi Malee Mali Malivalaya Maliwan Mani Mayuree Mee Noi Mekhala Mongkut Muan Nang Narong Ngam-Chit Ngoen Nin Niran Nong Yao On Choi On Paitoon Pakpao Pen-Chan Pensri Phaibun Phailin Phairoh Phanumas Phassakorn Phawta Phet Phichai Phichit Phitsamai Phloi Phueng Pichai Pimchan Piyabutr Pravat Prayut Pricha Prija Prisana Pu Yai Bahn Puenthai Pundit Rama Ratana Ratanaporn Ritthirong Rochana Rom Ran Ruang Rit Ruang Sak Runrot Saengdao Sajja Sakda Samorn Sanan Nam Sanoh Sanouk Santichai Sanun Sanya Sap Sarai Sarakit Sataheep Satra Sawatdi Seni Si Fah Si Mok Si Sin Sinn Solada Som Chai Som Kid Som Phon Som Phong Som Wang Som Somchair Son Chai Sonchai Songsuda Sopa Sroy Su Suk Suchada Suchin Sud Saming Sud Suda Sukhon Sukonta Sum Sumalee Sumana Sumatra Sunan Sunee Sunstra Sunti Sup Taeng Tansanee Tha Kai Bok Thahan Thai Thaklaew Tham-Boon Thanom Thapthim Thinnakorn Thong Daeng Thong Dam Thong Di Thong Khao Thong Kon Thong Thaem Thong Thaeng Thong Thao Thong Thuanthong Ti Nung Cha Tida Totsaken Tukata Ubol Udom Vanida Vidura Virote Waan Waen Wila Winai Wipa Xuwicha Ya Chai Yindee Ying Yod Rak Yong-Yut Yu-Pha Yu-Phin Yuthakon ffaker-2.8.1/lib/ffaker/data/job/0000755000004100000410000000000013233715167016507 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/job/job_noun0000644000004100000410000000037313233715167020246 0ustar www-datawww-dataSupervisor Associate Executive Liason Officer Manager Engineer Specialist Director Coordinator Administrator Architect Analyst Designer Planner Orchestrator Technician Developer Producer Consultant Assistant Facilitator Agent Representative Strategistffaker-2.8.1/lib/ffaker/data/job/job_adj0000644000004100000410000000056013233715167020023 0ustar www-datawww-dataSolutions Program Brand Security Research Marketing Directives Implementation Integration Functionality Response Paradigm Tactics Identity Markets Group Division Applications Optimization Operations Infrastructure Intranet Communications Web Branding Quality Assurance Mobility Accounts Data Creative Configuration Accountability Interactions Factors Usability Metricsffaker-2.8.1/lib/ffaker/data/job/job_prefix0000644000004100000410000000026313233715167020562 0ustar www-datawww-dataLead Senior Direct Corporate Dynamic Future Product National Regional District Central Global Customer Investor Dynamic International Legacy Forward Internal Human Chief Principalffaker-2.8.1/lib/ffaker/data/animal/0000755000004100000410000000000013233715167017176 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/animal/common_names0000644000004100000410000000172013233715167021574 0ustar www-datawww-dataAardvark Albatross Alligator Alpaca Ant Anteater Antelope Ape Armadillo Baboon Barracuda Bat Bear Beaver Bird Bison Boar Buffalo Butterfly Camel Caribou Cat Cheetah Chicken Chimpanzee Cobra Cod Coyote Crab Crane Crocodile Crow Dog Dogfish Dolphin Donkey Dove Duck Dugong Eagle Eel Elephant Elk Emu Falcon Ferret Finch Fish Flamingo Fox Frog Gazelle Gnu Goat Goose Gorilla Guinea Pig Hamster Hare Hawk Hedgehog Heron Horse Hummingbird Hyena Ibex Jackal Jaguar Jay Kangaroo Koala Lemur Leopard Lion Llama Lobster Mallard Mammoth Manatee Mole Mongoose Monkey Moose Mouse Narwhal Newt Octopus Opossum Ostrich Otter Owl Oyster Panther Parrot Panda Partridge Pelican Penguin Pheasant Pig Pigeon Polar Bear Pony Porcupine Porpoise Prairie Dog Quail Rabbit Raccoon Ram Rat Raven Reindeer Salamander Salmon Sea Lion Seahorse Seal Shark Sheep Shrew Skunk Sloth Snail Snake Squirrel Swan Tiger Toad Turkey Turtle Wallaby Walrus Water Buffalo Weasel Whale Wolf Wolverine Wombat Yak Zebra ffaker-2.8.1/lib/ffaker/data/address/0000755000004100000410000000000013233715167017362 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address/street_suffix0000644000004100000410000000240513233715167022200 0ustar www-datawww-dataAlley Avenue Branch Bridge Brook Brooks Burg Burgs Bypass Camp Canyon Cape Causeway Center Centers Circle Circles Cliff Cliffs Club Common Corner Corners Course Court Courts Cove Coves Creek Crescent Crest Crossing Crossroad Curve Dale Dam Divide Drive Drives Estate Estates Expressway Extension Extensions Fall Falls Ferry Field Fields Flat Flats Ford Fords Forest Forge Forges Fork Forks Fort Freeway Garden Gardens Gateway Glen Glens Green Greens Grove Groves Harbor Harbors Haven Heights Highway Hill Hills Hollow Inlet Island Islands Isle Junction Junctions Key Keys Knoll Knolls Lake Lakes Land Landing Lane Light Lights Loaf Lock Locks Lodge Loop Mall Manor Manors Meadow Meadows Mews Mill Mills Mission Motorway Mount Mountain Mountains Neck Orchard Oval Overpass Park Parks Parkway Parkways Pass Passage Path Pike Pine Pines Place Plain Plains Plaza Point Points Port Ports Prairie Radial Ramp Ranch Rapid Rapids Rest Ridge Ridges River Road Roads Route Row Rue Run Shoal Shoals Shore Shores Skyway Spring Springs Spur Spurs Square Squares Station Stravenue Stream Street Streets Summit Terrace Throughway Trace Track Trafficway Trail Tunnel Turnpike Underpass Union Unions Valley Valleys Via Viaduct View Views Village Villages Ville Vista Walk Walks Wall Way Ways Well Wellsffaker-2.8.1/lib/ffaker/data/address/neighborhood0000644000004100000410000000161213233715167021754 0ustar www-datawww-dataEast of Telegraph Road North Norridge Northwest Midlothian/Midlothian Country Club Mott Haven/Port Morris Kingsbridge Heights Bronxdale Pennypack Bridesburg Allegheny West Bushwick South Dyker Heights Ocean Parkway South Summerlin North Seven Hills Area Greater Las Vegas National phoenix Central Chandler South of Bell Road River Heights White Plains Central Mount Kisco West Pound Ridge East Babylon Bayside Sagaponack Seaside South of Lake Ave Far Rockaway/Bayswater Jamaica Estates/Holliswood Murray Hill East Renton Renton West Auburn North Northwoods West Florissant West Ladue South Candlewood Country Club West Covina East North East Irwindale Sunshine-Gardens Cipriani Brentwood Central Jupiter South/Abacoa Sea Ranch Lakes Schall Circle/Lakeside Green Olmsted Falls Central South of Lake Shore Blvd Gates Mills North White Oak South of Columbia Pike Rockville East of Hungerford Dr Cleveland Parkffaker-2.8.1/lib/ffaker/data/address/country_code0000644000004100000410000000135213233715167022003 0ustar www-datawww-dataAF AX AL DZ AS AD AO AI AQ AG AR AM AW AU AT AZ BS BH BD BB BY BE BZ BJ BM BT BO BQ BA BW BV BR IO BN BG BF BI KH CM CA CV KY CF TD CL CN CX CC CO KM CG CD CK CR CI HR CU CW CY CZ DK DJ DM DO EC EG SV GQ ER EE ET FK FO FJ FI FR GF PF TF GA GM GE DE GH GI GR GL GD GP GU GT GG GN GW GY HT HM VA HN HK HU IS IN ID IR IQ IE IM IL IT JM JP JE JO KZ KE KI KP KR KW KG LA LV LB LS LR LY LI LT LU MO MK MG MW MY MV ML MT MH MQ MR MU YT MX FM MD MC MN ME MS MA MZ MM NA NR NP NL NC NZ NI NE NG NU NF MP NO OM PK PW PS PA PG PY PE PH PN PL PT PR QA RE RO RU RW BL SH KN LC MF PM VC WS SM ST SA SN RS SC SL SG SX SK SI SB SO ZA GS SS ES LK SD SR SJ SZ SE CH SY TW TJ TZ TH TL TG TK TO TT TN TR TM TC TV UG UA AE GB US UM UY UZ VU VE VN VG VI WF EH YE ZM ZWffaker-2.8.1/lib/ffaker/data/address/time_zone0000644000004100000410000000371313233715167021302 0ustar www-datawww-dataPacific/Midway Pacific/Pago_Pago Pacific/Honolulu America/Juneau America/Los_Angeles America/Tijuana America/Denver America/Phoenix America/Chihuahua America/Mazatlan America/Chicago America/Regina America/Mexico_City America/Monterrey America/Guatemala America/New_York America/Indiana/Indianapolis America/Bogota America/Lima America/Lima America/Halifax America/Caracas America/La_Paz America/Santiago America/St_Johns America/Sao_Paulo America/Argentina/Buenos_Aires America/Guyana America/Godthab Atlantic/South_Georgia Atlantic/Azores Atlantic/Cape_Verde Europe/Dublin Europe/Lisbon Europe/London Africa/Casablanca Africa/Monrovia Etc/UTC Europe/Belgrade Europe/Bratislava Europe/Budapest Europe/Ljubljana Europe/Prague Europe/Sarajevo Europe/Skopje Europe/Warsaw Europe/Zagreb Europe/Brussels Europe/Copenhagen Europe/Madrid Europe/Paris Europe/Amsterdam Europe/Berlin Europe/Rome Europe/Stockholm Europe/Vienna Africa/Algiers Europe/Bucharest Africa/Cairo Europe/Helsinki Europe/Kiev Europe/Riga Europe/Sofia Europe/Tallinn Europe/Vilnius Europe/Athens Europe/Istanbul Europe/Minsk Asia/Jerusalem Africa/Harare Africa/Johannesburg Europe/Moscow Asia/Kuwait Asia/Riyadh Africa/Nairobi Asia/Baghdad Asia/Tehran Asia/Muscat Asia/Baku Asia/Tbilisi Asia/Yerevan Asia/Kabul Asia/Yekaterinburg Asia/Karachi Asia/Tashkent Asia/Kolkata Asia/Kathmandu Asia/Dhaka Asia/Dhaka Asia/Colombo Asia/Almaty Asia/Novosibirsk Asia/Rangoon Asia/Bangkok Asia/Jakarta Asia/Krasnoyarsk Asia/Shanghai Asia/Chongqing Asia/Hong_Kong Asia/Urumqi Asia/Kuala_Lumpur Asia/Singapore Asia/Taipei Australia/Perth Asia/Irkutsk Asia/Ulaanbaatar Asia/Seoul Asia/Tokyo Asia/Yakutsk Australia/Darwin Australia/Canberra Australia/Adelaide Australia/Melbourne Australia/Sydney Australia/Perth Australia/Brisbane Australia/Hobart Asia/Vladivostok Pacific/Guam Pacific/Port_Moresby Asia/Magadan Asia/Magadan Pacific/Noumea Pacific/Fiji Asia/Kamchatka Pacific/Majuro Pacific/Auckland Pacific/Tongatapu Pacific/Fakaofo Pacific/Apia ffaker-2.8.1/lib/ffaker/data/address/city_suffixes0000644000004100000410000000015113233715167022166 0ustar www-datawww-datatown ton land ville berg burgh borough bury view port mouth stad furt chester mouth fort haven side shireffaker-2.8.1/lib/ffaker/data/address/country0000644000004100000410000000601013233715167021005 0ustar www-datawww-dataAfghanistan Åland Islands Albania Algeria American Samoa Andorra Angola Anguilla Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia, Plurinational State of Bonaire, Sint Eustatius and Saba Bosnia and Herzegovina Botswana Bouvet Island Brazil British Indian Ocean Territory Brunei Darussalam Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad Chile China Christmas Island Cocos (Keeling) Islands Colombia Comoros Congo Congo, The Democratic Republic of The Cook Islands Costa Rica Côte d'Ivoire Croatia Cuba CuraÇao Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands (Malvinas) Faroe Islands Fiji Finland France French Guiana French Polynesia French Southern Territories Gabon Gambia Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guam Guatemala Guernsey Guinea Guinea-Bissau Guyana Haiti Heard Island and Mcdonald Islands Holy See (Vatican City State) Honduras Hong Kong Hungary Iceland India Indonesia Iran, Islamic Republic of Iraq Ireland Isle of Man Israel Italy Jamaica Japan Jersey Jordan Kazakhstan Kenya Kiribati Korea, Democratic People's Republic of Korea, Republic of Kuwait Kyrgyzstan Lao People's Democratic Republic Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macao Macedonia, The Former Yugoslav Republic of Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Martinique Mauritania Mauritius Mayotte Mexico Micronesia, Federated States of Moldova, Republic of Monaco Mongolia Montenegro Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island Northern Mariana Islands Norway Oman Pakistan Palau Palestine, State of Panama Papua New Guinea Paraguay Peru Philippines Pitcairn Poland Portugal Puerto Rico Qatar Réunion Romania Russian Federation Rwanda Saint Barthélemy Saint Helena, Ascension and Tristan Da Cunha Saint Kitts and Nevis Saint Lucia Saint Martin (french Part) Saint Pierre and Miquelon Saint Vincent and The Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Sint Maarten (dutch Part) Slovakia Slovenia Solomon Islands Somalia South Africa South Georgia and The South Sandwich Islands South Sudan Spain Sri Lanka Sudan Suriname Svalbard and Jan Mayen Swaziland Sweden Switzerland Syrian Arab Republic Taiwan, Province of China Tajikistan Tanzania, United Republic of Thailand Timor-leste Togo Tokelau Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States United States Minor Outlying Islands Uruguay Uzbekistan Vanuatu Venezuela, Bolivarian Republic of Viet Nam Virgin Islands, British Virgin Islands, U.S. Wallis and Futuna Western Sahara Yemen Zambia Zimbabweffaker-2.8.1/lib/ffaker/data/job_vn/0000755000004100000410000000000013233715167017212 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/job_vn/job_nouns0000644000004100000410000001043013233715167021127 0ustar www-datawww-dataThiết kế chuyên gia tính toán người báo cáo Trang phục nhân viên bán hàng kế hoạch tổ chức sự kiện điều phối nội thất Wedding planner chuyên gia thẩm mỹ người chụp hình thiết kế vườn tư vấn nghề nghiệp Club DJ Một nhà thiết kế đồ họa Đại Nhân viên quản lý chăm sóc nhà phát triển trò chơi video copywriter Một cầu thủ bóng đá Kỹ sư hệ thống nhà báo người tạo mẫu huấn luyện viên thể thao Trị Liệu Sommelier dẫn du lịch chơi quần vợt giám đốc truyền hình sản xuất truyền hình dữ liệu nhà khoa học thương gia Người kể chuyện thợ làm nghề móng tay người mua hướng dẫn tour du lịch cầu thủ bóng rổ nữ vũ công cầu thủ bóng chuyền người pha rượu phi công các nhà sản xuất mô hình bánh ngọt lập kế hoạch tài chính thiết kế thời trang quản lý quỹ điều phối thực phẩm người chăn nuôi lập trình viên võ sĩ quyền Anh chuyên nghiệp Đô vật chuyên nghiệp cầu thủ bóng chày chuyên nghiệp người giử em bé nhân viên khách sạn Cán bộ Quản lý Nhà chung cư nhạc sĩ nghệ sĩ make-up hướng dẫn Yoga giám đốc Đài phát thanh nhân cách phát thanh người đua xe thẩm định viên Bất động sản giáo viên trung học cơ sở nhân viên chăm sóc người soạn nhạc trị liệu nghề nghiệp nhà thi sĩ chuyên viết thơ tình y tá sức khỏe trông trẻ nhân viên bán hàng bảo hiểm nữ diễn viên diễn viên thầy tu sĩ quan xuất nhập cảnh cán bộ kiểm Di Trú Kế toán Công chứng viên chức nhà tù cô mụ Lao động thanh tra tiêu chuẩn bác sĩ mã hóa y tế nhà tiên tri Thư viện người cho vay tư pháp Chuyên gia thuế quốc gia nhân viên Liên Hợp Quốc trắc Bất động sản Công nhân xây dựng diễn viên lồng tiếng nhà ngoại giao giáo sư Đại học đội ngũ giảng viên thợ mộc người quản lý chuyên giao dịch bất động sản Phi hành gia phi hành đoàn nhân viên nội thất đầu bếp giáo viên tiểu học tiểu thuyết gia người tô hồ giáo viên mẫu giáo làm vườn kiến trúc sư Kiến trúc Kỹ thuật Tấm kim loại luật sư bằng sáng chế luật sư thông dịch viên ngôn ngữ ký hiệu nhạc trưởng thám tử nhà văn truyền hình Chính trị gia nhân viên ứng phó khẩn cấp máy nghiền xương phóng viên báo chí đạo diễn phim người bán sách Thư pháp Dinh dưỡng Công tố viên Bác sĩ phẫu thuật ca sĩ trợ lý nha khoa nha sĩ kỹ thuật viên nha khoa vệ sinh răng miệng dự báo thời tiết giảng viên pháp lý cảnh sát trưởng Hàng hải hướng dẫn tour du lịch nước ngoài Lính cứu hỏa trắc địa đã đăng ký ngư phủ đạo diễn sân khấu người vẽ hí họa Đặc biệt cần giáo viên trung học Một bác sĩ thú y Vật lý trị liệu thợ hớt tóc họa sĩ sĩ quan y tá tư vấn lao động bảo hiểm xã hội có xác nhận nhân viên xã hội Cha-mục sư Thư ký kế toán thuế Công chức hải quan người chơi xuồng máy đua xe đạp chuyên nghiệp Chuyên gia dinh dưỡng đăng ký quốc gia nhân viên xã hội Tâm thần nhà văn cuốn sách ảnh Biên tập viên chuyên môn về sắc đẹp nhân viên đẹp Prosthetist thông dịch viên khảo cổ học nhà viết kịch kỹ sư lâm sàng nhà tâm lý lâm sàng Kỹ thuật viên phòng thí nghiệm lâm sàng ô tô cơ khí Lực lượng tự vệ diễn viên sân khấu hoa tiêu hàng không cơ khí bộ điều khiển không lưu người bán hoa nơi trình diển của nam giới quản lý giải trí tài năng nổi tiếng dược sĩ người chép lại hành chính thẩm phán Thư ký toà án chẩn đoán hình ảnh lâm sàng người bán dầu thơm bảo vệ an ninh cảnh sát viên thư ký nhạc trưởng nông phu thông dịch viên nhân viên hướng dẫn cách giải thích công chức hải quan người lái xe thợ hàn chì chủ ngân hàng nhạc sĩ Y tá trường học sĩ quan giám đốc ffaker-2.8.1/lib/ffaker/data/phone_number_id/0000755000004100000410000000000013233715167021072 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/phone_number_id/home_phone_prefixes0000644000004100000410000000274613233715167025054 0ustar www-datawww-data021 022 0231 0232 0233 0234 024 0251 0252 0253 0254 0255 0257 0260 0261 0262 0263 0264 0265 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(CNG) Hydrogen Fuel Cell (FCV)ffaker-2.8.1/lib/ffaker/data/vehicle/transmissions_list0000644000004100000410000000006713233715167023251 0ustar www-datawww-dataAutomatic Manual Automated Manual Continuously Variableffaker-2.8.1/lib/ffaker/data/vehicle/displacements_list0000644000004100000410000000012413233715167023162 0ustar www-datawww-data1.0 1.6 2.0 2.5 3.0 4.0 4.1 4.2 4.3 4.9 5.0 5.2 5.7 5.8 5.9 7.0 7.2 7.4 7.5 7.7 11.3ffaker-2.8.1/lib/ffaker/data/vehicle/upholstery_list0000644000004100000410000000005113233715167022544 0ustar www-datawww-dataLeather Vinyl Faux Vinyl PVC Nylon Fabricffaker-2.8.1/lib/ffaker/data/vehicle/trims_list0000644000004100000410000000005313233715167021466 0ustar www-datawww-dataDX ES EX EX-L GL GS LS LT RS SE SI SLT XLT ffaker-2.8.1/lib/ffaker/data/vehicle/makes_list0000644000004100000410000000105313233715167021431 0ustar www-datawww-dataAcura Alfa Romeo AM General AMC Aston Martin Audi Autocar Avanti Bentley BMW Bugatti Buick Cadillac Chevrolet Chrysler Country Coach Daewoo Daihatsu Dodge Eagle Ferrari Fiat Ford Freightliner Geo GMC Honda Hummer Hyundai Infiniti Isuzu Jaguar Jeep Kia Lada Lamborghini Land Rover Lexus Lincoln Lodal Lotus Maserati Maybach Mazda Mercedes-Benz Mercury Merkur Mini Mitsubishi Morgan Nissan Oldsmobile Oshkosh Peugeot Plymouth Polaris Pontiac Porsche Ram Renault Rolls-Royce Saab Saleen Saturn Scion Smart Sterling Subaru Suzuki Tesla Toyota Volkswagen Volvoffaker-2.8.1/lib/ffaker/data/vehicle/models_list0000644000004100000410000000151013233715167021612 0ustar www-datawww-data4Runner Accent Accord Alero Allante Altima Astro Avenger Aveo Aztek Beetle Bravada Bronco Caliber Camaro Camry Caprice Caravan Cavalier Charger Cherokee Civic Cobalt Colorado Concorde Contour Corolla Corolla Wagon Corvette CR-V CR-Z Cutlass Dakota Durango Echo Econoline Elantra Element Envoy Equinox Escalade Escort Expedition Fiero Focus Freestyle Frontier Fusion Ghost Golf Grand Am Grand Caravan Grand Cherokee Grand Marquis Grand Marquis Wagon Grand Prix HHR Highlander Hummer Impala Impreza Integra Intrepid Intrigue Jetta Jimmy Lancer LaSabre Magnum Malibu Mustang Neon Odyssey Optima Pacifica Passat Pathfinder Prius Probe Protege PT Cruiser Quest Rabbit RAV4 Rio S10 Sable Santa Fe Sierra Silverado Sonata Sprinter Tahoe Taurus Tercel Town & Country Trailblazer Trans Am Uplander Villager Viper Voyager Windstar Yaris Yukon Zephyr ffaker-2.8.1/lib/ffaker/data/name_it/0000755000004100000410000000000013233715167017351 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/name_it/last_names0000644000004100000410000000114213233715167021420 0ustar www-datawww-dataRossi Bianchi Verdi Neri Martini Tommasi Piccolo Riccardi Taddei Segoni Spinosa Patrizi Borgogni Licastro Pacitto Longo Corti Sangiacomo Mastrogiacomo Diotaiuti Martinez Fontana Casà Bertini Sabatino Parente Esposito Barbagallo Adamo Messineo Rizzo Persichetti Perpiglia Conchiglia Finocchiaro Coppola Monachello Messina Micchichè Morelli Manzari Marinelli Fumanti Gattari Martorano Cantalamessa Pecora Grassini Lonzi Cupellaro Carelli Lionetti Pocci Arrigo Lolli Santandrea Gelsomino Melegatti Motta Alemanga Olivetti Ferrari Ferrero Piervincenti Piccolomini Sangiorgi Tirinnanzi Pitruzzella Bertola Canellaffaker-2.8.1/lib/ffaker/data/name_it/first_names0000644000004100000410000000253013233715167021606 0ustar www-datawww-dataAdriano Alessandro Alfredo Alfonso Andrea Antonio Arturo Augusto Agostino Beniamino Benedetto Bernardo Carlo Cristoforo Daniele Davide Edoardo Emilio Emanuele Enrico Eugenio Francesco Franco Federico Gabriele Giorgio Gerardo Gilberto Gioacchino Gregorio Guglielmo Onorato Isacco Giovanni Girolamo Guseppe Giulio Guliano Lorenzo Leone Luca Luigi Marco Marcello Martino Matteo Maurizio Michele Nicola Natale Oliviero Patrizio Paolo Filippo Pietro Raimondo Renato Riccardo Roberto Rolando Sebastiano Stefano Teodoro Teofilo Tommaso Timoteo Tristano Ugo Vittorio Vincenzo Ivo Zaccaria Adelaide Adele Adriena Agata Agnese Amata Alessandra Alice Amelia Amalia Anastasia Anita Andrea Anna Antoinetta Aurelia Aurora Bernadetta Brigitta Carolina Caterina Cecilia Clelia Carlotta Cristiana Cristina Chiara Claudia Costanza Corinna Daniela Denise Diana Dorotea Eleonora Elisabetta Elisa Emilia Emanuela Francesca Federica Gabriella Genoveffa Elena Ortenzia Inès Isabella Giovanna Giuseppina Giulia Giulietta Laetitia Letizia Laura Lorenza Luisa Luce Lucia Maddalena Marcella Margherita Margot Marianna Maria Marina Marta Martina Marisa Matilde Michela Michelle Monica Natalina Natalia Nicoletta Noemi Olivia Patrizia Paola Paolina Penelope Filippa Renata Sabina Simona Sophia Sofia Stefania Susanna Silvia Teresa Valentina Valeria Veronica Vittoria Virginia Zoe Camilla Domenicaffaker-2.8.1/lib/ffaker/data/address_chit/0000755000004100000410000000000013233715167020371 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_chit/canton0000644000004100000410000000036013233715167021575 0ustar www-datawww-dataArgovia Appenzello Interno Appenzello Esterno Berna Basilea Campagna Basilea Città Friburgo Ginevra Glarona Grigioni Giura Lucerna Neuchâtel Nidvaldo Obvaldo San Gallo Sciaffusa Soletta Svitto Turgovia Ticino Uri Vaud Vallese Zugo Zurigo ffaker-2.8.1/lib/ffaker/data/mathematiques/0000755000004100000410000000000013233715167020604 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/mathematiques/lessons0000644000004100000410000000317113233715167022217 0ustar www-datawww-dataRacine carrée NOMBRE DÉCIMAUX ARITHMÉTIQUES ADDITION DE DEUX NOMBRES DÉCIMAUX SOUSTRACTION DE DEUX NOMBRES DÉCIMAUX ARITHMÉTIQUES RANGEMENT DES NOMBRES DÉCIMAUX ARITHMÉTIQUES MULTIPLICATION DES NOMBRES DÉCIMAUX ARITHMÉTIQUES DIVISION DES NOMBRES DÉCIMAUX ARITHMÉTIQUES ORGANISATION D’UN CALCUL PROPORTIONNALITÉ NOMBRES DÉCIMAUX RELATIFS REPÉRAGE INTRODUCTION A LA GÉOMÉTRIE LE CERCLE DROITES PERPENDICULAIRES ET DROITES PARALLELES SYMETRIE ORTHOGONALE PAR RAPPORT A UNE DROITE DONNEE LES ANGLES LES POLYGONES LES AIRES LA GÉOMÉTRIE DANS L’ESPACE REPÉRAGE SUR LA SPHERE PUISSANCE DANS D MULTIPLES ET DIVISEURS LES FRACTIONS LA PROPORTIONNALITE NOMBRES DECIMAUX RELATIFS REPRESENTATION GRAPHIQUE D’UN TABLEAU DE CORRESPONDANCE SYMETRIE CENTRALE LES ANGLES LES PARALLELOGRAMMES LES TRIANGLES LES AUTRES QUADRILATERES LA GEOMETRE DANS L’ESPACE STATISTIQUES THÉORÈME DE THALÈS RELATIONS TRIGONOMÉTRIQUES DANS UN TRIANGLE RECTANGLE ANGLE INSCRIT VECTEURS TRANSFORMATIONS DU PLAN REPÉRAGE DANS LE PLAN GÉOMÉTRIE DANS L'ESPACE NOMBRES RATIONNELS Calcul algébrique EQUATIONS A UNE INCONNUE INEQUATIONS ET SYSTEMES DE DEUX INEQUATIONS A UNE INCONNUE APPLICATIONS LINEAIRES STATISTIQUES DISTANCES DROITES DES MILIEUX DROITES REMARQUABLES DANS UN TRIANGLE ; BISSECTRICES ET MEDIANES TRIANGLE RECTANGLE TRANSLATIONS ET VECTEURS ROTATIONS ET POLYGONES REGULIERS PROJECTION ORTHOGONALE DANS LE PLAN GEOMETRIE DANS L'ESPACE APPLICATIONS AFFINES ET APPLICATIONS AFFINES PAR INTERVALLES EQUATIONS ET INEQUATIONS A UNE INCONNUE ÉQUATIONS ET SYSTÈME D'ÉQUATIONS À DEUX INCONNUES INÉQUATIONS ET SYSTÈME D'INÉQUATIONS À DEUX INCONNUES ffaker-2.8.1/lib/ffaker/data/address_da/0000755000004100000410000000000013233715167020026 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_da/kommune0000644000004100000410000000145213233715167021426 0ustar www-datawww-dataAabenraa Aalborg Aarhus Albertslund Allerød Assens Billund Bornholm Brønderslev Egedal Esbjerg Faaborg-Midtfyn Fanø Favrskov Faxe Fredensborg Fredericia Frederikshavn Frederikssund Furesø Gentofte Greve Gribskov Guldborgsund Haderslev Halsnæs Hedensted Helsingør Herlev Herning Hillerød Hjørring Holbæk Holstebro Horsens Høje-Taastrup Hørsholm Ikast-Brande Ishøj Jammerbugt Kalundborg Kerteminde Kolding København Køge Langeland Lejre Lemvig Lolland Læsø Mariagerfjord Middelfart Morsø Norddjurs Nordfyns Nyborg Næstved Odder Odense Odsherred Randers Rebild Ringkøbing-Skjern Ringsted Roskilde Rudersdal Rødovre Samsø Silkeborg Skanderborg Skive Slagelse Solrød Sorø Stevns Struer Svendborg Syddjurs Sønderborg Thisted Tønder Varde Vejen Vejle Vesthimmerlands Viborg Vordingborg Ærø ffaker-2.8.1/lib/ffaker/data/address_da/city0000644000004100000410000001252713233715167020730 0ustar www-datawww-dataAabenraa Aabybro Aakirkeby Aalborg Aalborg SV Aalborg SØ Aalborg Øst Aalestrup Aarhus C Aarhus N Aarhus V Aars Aarup Agedrup Agerbæk Agerskov Albertslund Allerød Allinge Allingåbro Almind Anholt Ans By Ansager Arden Asaa Askeby Asnæs Asperup Assens Augustenborg Aulum Auning Bagenkop Bagsværd Balle Ballerup Bandholm Barrit Beder Bedsted Thy Bevtoft Billum Billund Bindslev Birkerød Bjerringbro Bjert Bjæverskov Blokhus Blommenslyst Blåvand Boeslunde Bogense Bogø By Bolderslev Bording Borre Borup Brabrand Bramming Brande Branderup J Bredebro Bredsten Brenderup Fyn Broager Broby Brovst Bryrup Brædstrup Brøndby Brøndby Strand Brønderslev Brønshøj Brørup Bylderup-Bov Bække Bækmarksbro Bælum Børkop Bøvlingbjerg Charlottenlund Christiansfeld Dalby Dalmose Dannemare Daugård Dianalund Dragør Dronninglund Dronningmølle Dybvad Dyssegård Ebberup Ebeltoft Egernsund Egtved Egå Ejby Ejstrupholm Engesvang Errindlev Erslev Esbjerg Esbjerg N Esbjerg V Esbjerg Ø Eskebjerg Eskilstrup Espergærde Faaborg Fanø Farsø Farum Faxe Faxe Ladeplads Fejø Ferritslev Fyn Fjenneslev Fjerritslev Flemming Fredensborg Fredericia Frederiksberg C Frederikshavn Frederikssund Frederiksværk Frørup Frøstrup Fuglebjerg Fur Fårevejle Fårup Fårvang Føllenslev Føvling Gadbjerg Gadstrup Galten Gandrup Gedser Gedsted Gedved Gelsted Gentofte Gesten Gilleleje Gislev Gislinge Gistrup Give Gjerlev J Gjern Glamsbjerg Glejbjerg Glesborg Glostrup Glumsø Gram Gredstedbro Grenaa Greve Grevinge Grindsted Gråsten Græsted Gudbjerg Sydfyn Gudhjem Gudme Guldborg Gørding Gørlev Gørløse Haarby Haderslev Haderup Hadsten Hadsund Hals Hammel Hampen Hanstholm Harboøre Harlev J Harndrup Harpelunde Hasle Haslev Hasselager Havdrup Havndal Hedehusene Hedensted Hejls Hejnsvig Hellebæk Hellerup Helsinge Helsingør Hemmet Henne Herfølge Herlev Herlufmagle Herning Hesselager Hillerød Hinnerup Hirtshals Hjallerup Hjerm Hjortshøj Hjørring Hobro Holbæk Holeby Holmegaard Holstebro Holsted Holte Horbelev Hornbæk Hornslet Hornsyld Horsens Horslunde Hovborg Hovedgård Humble Humlebæk Hundested Hundslund Hurup Thy Hvalsø Hvide Sande Hvidovre Hårlev Højbjerg Højby Højer Højslev Høng Hørning Hørsholm Hørve Idestrup Ikast Ishøj Janderup Vestj Jelling Jerslev J Jerslev Sjælland Jerup Jordrup Juelsminde Jyderup Jyllinge Jystrup Midtsj Jægerspris Kalundborg Kalvehave Karby Karise Karlslunde Karrebæksminde Karup J Kastrup Kerteminde Kettinge Kibæk Kirke Eskilstrup Kirke Hyllinge Kirke Såby Kjellerup Klampenborg Klarup Klemensker Klippinge Klovborg Knebel Kokkedal Kolding Kolind Kongens Lyngby Kongerslev Korsør Kruså Kvistgård Kværndrup København København K København N København NV København S København SV København Ø Køge Langebæk Langeskov Langå Lejre Lem St Lemming Lemvig Lille Skensved Lintrup Liseleje Lundby Lunderskov Lynge Lystrup Låsby Læsø Løgstrup Løgstør Løgumkloster Løkken Løsning Malling Mariager Maribo Marslev Marstal Martofte Melby Mern Mesinge Middelfart Millinge Morud Munke Bjergby Munkebo Måløv Mårslet Møldrup Mørke Mørkøv Nakskov Nexø Nibe Nimtofte Nivå Nordborg Nyborg Nykøbing F Nykøbing M Nykøbing Sj Nyrup Nysted Nærum Næstved Nørager Nørre Aaby Nørre Alslev Nørre Asmindrup Nørre Nebel Nørre Snede Nørreballe Nørresundby Odder Odense C Odense M Odense N Odense NV Odense NØ Odense S Odense SV Odense SØ Odense V Oksbøl Otterup Oure Outrup Padborg Pandrup Præstø Randbøl Randers C Randers NV Randers NØ Randers SV Randers SØ Ranum Rask Mølle Redsted M Regstrup Ribe Ringe Ringkøbing Ringsted Risskov Risskov Ø Risskov Ø Roskilde Roslev Rude Rudkøbing Ruds Vedby Rungsted Kyst Ry Rynkeby Ryomgård Ryslinge Rødby Rødding Rødekro Rødkærsbro Rødovre Rødvig Stevns Rømø Rønde Rønne Rønnede Rørvig Sabro Sakskøbing Saltum Samsø Sandved Sejerø Silkeborg Sindal Sjællands Odde Sjølund Skagen Skals Skamby Skanderborg Skibby Skive Skjern Skodsborg Skovlunde Skårup Fyn Skælskør Skærbæk Skævinge Skødstrup Skørping Slagelse Slangerup Smørum Snedsted Snekkersten Snertinge Solbjerg Solrød Strand Sommersted Sorring Sorø Spentrup Spjald Sporup Spøttrup Stakroge Stege Stenderup Stenlille Stenløse Stenstrup Stensved Stoholm Jyll Stokkemarke Store Fuglede Store Heddinge Store Merløse Storvorde Stouby Strandby Struer Strøby Stubbekøbing Støvring Suldrup Sulsted Sunds Svaneke Svebølle Svendborg Svenstrup J Svinninge Sydals Sæby Søborg Søby Ærø Søllested Sønder Felding Sønder Omme Sønder Stenderup Sønderborg Søndersø Sørvad Taastrup Tappernøje Tarm Terndrup Them Thisted Thorsø Thyborøn Thyholm Tikøb Tilst Tim Tinglev Tistrup Tisvildeleje Tjele Tjæreborg Toftlund Tommerup Toreby L Torrig L Tranbjerg J Tranekær Trige Trustrup Tune Tureby Tylstrup Tårs Tølløse Tønder Tørring Ugerløse Uldum Ulfborg Ullerslev Ulstrup Vadum Valby Vallensbæk Vallensbæk Strand Vamdrup Vandel Vanløse Varde Vedbæk Veflinge Vejby Vejen Vejers Strand Vejle Vejle Øst Vejstrup Veksø Sjælland Vemb Vemmelev Vesløs Vestbjerg Vester Skerninge Vesterborg Vestervig Viborg Viby J Viby Sjælland Videbæk Vig Vildbjerg Vils Vinderup Vipperød Virum Vissenbjerg Viuf Vodskov Vojens Vonge Vorbasse Vordingborg Vrå Væggerløse Værløse Åbyhøj Ålbæk Ålsgårde Årre Årslev Ærøskøbing Ølgod Ølsted Ølstykke Ørbæk Ørnhøj Ørsted Ørum Djurs Østbirk Øster Assels Øster Ulslev Østermarie Østervrå ffaker-2.8.1/lib/ffaker/data/address_da/street0000644000004100000410000001765313233715167021273 0ustar www-datawww-dataAbsalonsvej Agrovej Ahornvej Akacievej Akelejehaven Alvedgårdsvej Alvedstræde Anemonevej Annexgårdsparken Annexgårdsvej Arresøgårdsvej Arresøvej Askevang Avlholmgårdsvej Bakkekær Bakkevej Baldersbrøndegade Baldersbuen Baldersvej Banestrøget Bartholinstræde Bavneåsen Bellevue Strand Berberisvej Beredskabsvej Berings Gade Birkegården Birkehegnet Birkehøjvej Birkelien Birketoften Birkevang Birkevangen Birkevej Blekinge Boulevard Blommehegnet Bogmosen Bohus Boulevard Bolandsvej Bomager Bondehøjvej Borupvej Bousagervej Brandhøjgårdsvej Bredebjergvej Bredekær Bremerholmen Bremertoften Bringebakken Bringehusene Bringekrogen Bringetoften Bringevej Bringevænget Broengen Brogårdsvej Brombærhegnet Bronzealderen Brostrædet Brovænget Brunellevej Brunsøvej Bruunsvej Brydetoften Brønsgårdsvej Brønsholm Kongevej Brønsholmvej Brønshulevej Bundsvej Bybrøndstræde Bygaden Bygmarken Bynkehaven Byvej Byvejen Bækgårdsvej Bæksø Bøgehaven Bøgekrattet Bøgevang Bøgevej Bøllemosegårdsvej Bøllemosevej Carl Gustavs Gade Cathrinebergvej Cederlunden Charlotteager Charlottegårdsvej Chr Hauchs Alle Christianshøjvej City 2 Dalbergstrøget Dalgårdsvej Damgårdsvej Damhusvænget Damhøjvej Damsholtevej Damtoften Damtofteparken Dannevang Danstrupvej Davidsvænge Digeager Digelsvej Divisionsvænget Donsevej Drosselvænget Duekær Dybendalsvænget Dybkærvænget Dyssevej Dådyrvænget Dæmpegårdsvej Egager Egekrattet Egernvænget Egestedvej Egevangen Egevej Egholmsvej Eigtveds Alle Ellekildevej Ellevej Elme Alle Elmekrogen Elverdalsvej Endrup Byvej Enebærkrattet Engbrinken Engelholm Alle Enggårdsvej Enghavegårdsvej Enghaven Engvej Enighedsvej Erhvervsvej Erik Husfeldts Vej Eskildsvej Estland Alle Fagerbo Fasanvænget Fjællebro Flintebjergvej Flinterne Fløng Byvej Fløngvej Fløngvænget Folehavevej Forsythiavej Fredensvej Frederiksholms Frederiksholmsvej Frøbjerget Frødalen Frøgård Alle Frøhaven Frøvænget Fyrrekrattet Fyrrevang Fyrrevej Gadehavegårdsvej Galgebakkevej Gammel Bygade Gammel Hareskovvej Gammel Åvej Gammelsøhøj Geerslettevej Georg Hansens Ager Girostrøget Gran Alle Granbakken Granstien Granvej Gregersensvej Grønholtvangen Grønholtvej Guldalderen Gunderødvej Gyvelhaven Gyvelhegnet Gyvelvej Gårdager Gørløsevej Hakkemosevej Halland Boulevard Hallandsparken Hammeren Hammersholt Byvej Hammershøjvej Hans Andersensvej Hasejevej Haslevgade Hasselvej Havedamsvej Haveforen. Bakkevej Haveforen. Brandhøj Havlyngbuen Havremarken Hedegaardsvej Hedeland Hedelandsstien Hedelykken Hedevej Helgeshøj Alle Helsingørsvej Herringløsevej Hindbærhegnet Hjortevænget Hjortholmgårdsvej Hjørnestenen Holmegårdsparken Holmegårdsvej Holmegårdsvænget Holmemarksvej Holmenevej Holtebakken Holtedam Horsemosevej Hortensiavej Hostavej Hovedgaden Hovmarken Hovmarksstien Hovmarksvej Hultoften Hulvejen Humlebækvej Humlehegnet Humlemosevej Humletoften Hybenhegnet Hybenvej Hyldager Hyldekrattet Hyldevangen Håndværkerbakken Høholmvej Højager Højbakkegård Alle Højbakkevej Høje Lønholt Høje Taastrup Høje Taastrup Gade Højlundevej Højsagervej Højsdal Højvangsvej Høkerstræde Hørager Hørsholmvej Hørskætten Hørsvinget Ildtornvej Industribakken Industrivænget Ingersvej Ishøj Centervej Islandshøjparken Jagtvej Jasminhaven Jasminvej Jernalderen Jernvedvej Johannes Hages Alle Jonstrup Vænge Jonstruphøj Jonstrupvangvej Jonstrupvej Jægerbakken Jørlunde Overdrev Kallerupvej Karlebo Karlebo Markvej Kastaniens Kastaniens Kvarter Kastanjegang Katrinevej Keglens Kvarter Kellerisvej Kildebakken Kildehusene Kildelunden Kildemosevej Kildetoften Kildevej Kildevænget Kirke Værløsevej Kirkebakken Kirkegårdsvej Kirkeleddet Kirkeltehusvej Kirkeltevej Kirkestien Kirkestræde Kjeldgårdsvej Klevehøjvej Klinken Klintehaven Klinthøj Alle Klovtoftegade Klovtofteparken Kløverhaven Kløvermarksvej Kløvervej Knud Hjortøsvej Knudsvej Kohøjvej Kongevejen Konkyliestien Koppen Koralstien Kornelhegnet Korpsvænget Korsbjergpark Korsebjergengen Korshavevej Kraghave Parkvej Kraghavevej Krogager Kroparken Kroppedals Alle Kuglens Kvarter Kæmpehøj Kærengen Kærhavegårdsvej Kærmindevej L A Rings Vænge Landsbygaden Langageren Langelunden Langerødvej Langstrup Mose Langstrupvej Langås Lavendelvej Leen A Leen B Leen C Leen D Leen E Leen F Leen G Leen H Leen I Lejrvej Lerbakkevej Lersøstien Lervangen Letland Alle Ligustervej Lille Kongevej Lille Solhøjvej Lilleager Lillemosevej Lillevangsvej Lindegang Lindegårdsager Lindevej Liselundager Litauen Alle Ludvig Finds Vej Lupingang Lyngevej Lystholm Lærkelunden Lærketoften Lærkevej Løberen Løjeltevej Lønholtvej Løvefodvej M W Gjøes Vej Maglehøjgårdsvej Maglehøjtoften Maglemosevej Magnoliavej Marbjerg Byvej Marbjergholmsvej Margerittens Marie Alle Mariehøj Midtervej Morelhaven Moseager Mosedalen Mosegårdsvej Mosekilen Mosevænget Munkegårds Alle Murertoften Murskeen Muslingestien Myremosevej Månebakken Månedalstien Mølleager Mølledalen Møllestedet Møllevangen Møllevej Niebuhr Gade Niverød Niverød Bakke Niverød Kongevej Niverødgårdsvej Nivåhøj Nivåvej Nordre Strandvej Nordtoften Nordvang Ny Hjortespringvej Nybovej Nybølle Vad Nøddekrattet Nørreby Alle Nørreby Torv Nørregade Nørrekær Nørremarken Oldenburg Alle Oldvejen Ole Lippmanns Vej Ole Rømers Vej Olivenlunden Palmelunden Parallelvej Peder Peder Oxesvej Perikonhegnet Pilehaven Pilekrattet Pilenborgvej Pileurtvej Pilevangsdal Pilevej Pilevænget Plantagevej Poppel Alle Poppelvej Porsehaven Porsemosevej Postgade Potentilvej Poul Hansens Vænge Priors Alle Præstegårdsvej Præstemosevej Præstevænget Rafteager Rantzausvej Ravnehusparken Ravnehusvej Ravnekrogen Refmosevej Ribeshegnet Ribesvej Ringvej B 4 Rolandsvej Rolfsvej Rolighedsvej Rosen Alle Rosenager Rosengang Rosenhegnet Rosenhøj Rosens Rosens Kvarter Roskildevej Rundageren Ryethøjvej Ryvej Rådyrvej Rævebakkevej Rødegårdsvej Rødehusvej Rønnehegnet Rønnevej Rørmosen Rørsøstien Salvievej Sandet Sandvejen Sengeløsevej Sirius Alle Skagensgade Skandrups Alle Skelvej Skiftet Skjeberg Alle Skjørrings Vænge Skov Alle Skovbovænget Skovdalen Skovgårdsvej Skovhavevej Skovhegnet Skovhuskrogen Skovkildevej Skovlystvej Skovmose Alle Skovmose Side Alle Skovsvinget Skråplanet Skåne Boulevard Sletteager Slåenhegnet Slåenhøj Smedegade Smedevej Smedevænget Snebærvej Sneklokkehegnet Sneppevænget Snerlehaven Snubbekorsvej Soderupvej Sognekæret Sognevangen Sognevej Solager Solbakken Solbakkevej Solbjergvej Solbærhegnet Soldalen Solengen Solhaven Solhøj Solhøjvej Solkrogen Solvang Solvej Solvænget Spangåvej Sparrebro Spiræavej Spjeldager Spotorno Alle Stationsvej Stejlepladsvej Stenalderen Stenborgvej Stendiget Stendyssevej Stenrølds Alle Stjernedalen Storager Storemosen Storengen Storkekrogen Stormly Stormvang Strandgang Struergade Strømsvej Studekrogen Stærkendevej Svendsvej Svinget Sydstjernen Sylen Syrengang Syrenhegnet Syrenvej Søanemonestien Søholmvej Søkrogen Sømosevej Sønderby Torv Søndervangen Sørupvej Søvangs Alle Teglbrændertoften Teglbuen Teglevej Teglholmsvej Telegade Terningens Kvarter Thistedgade Thorbjergvej Thorsager Thorsbrovej Tibberup Alle Tibbevangen Timianhaven Tingstedvej Tingstenen Tjørneager Tjørnekrattet Tjørnen Toeltvej Tofteledet Toften Toftevej Topager Tornehegnet Torslunde Bygade Torslundevej Torstorpvej Tostholmvej Tranemosevej Truelshøj Truelsvang Tårnhøjgård Tårnkær Tørvevej Udsigten Uglesø Mosevej Vadsby Bygade Vadsbystræde Vadsbyvej Vagtelvænget Valdemarsvej Valmuens Valmuens Kvarter Vandtårnsvej Vandværksvej Vartovvej Vasekær Ved Gadekæret Ved Kastrupfortet Ved Kæret Vejenbrødvej Veksebovej Vesterby Alle Vesterby Torv Vesterled Vestervang Vestre Alle Vibe Alle Vibensholmsvej Vigerslev Allé Vildrosevej Vinterhusvej Vintoften Violens Violens Kvarter Vænget Værløse Gydevej Walgerholm Weirsøevej Wilhelmsvej Ågesholmsvej Åhusene Åløbet Åskrænten Åsletten Åtoften Åvej Åvænget Æblets Kvarter Øksen Østengen Østerby Alle Østerby Torv Østre Alle Øtoftegårdsvej ffaker-2.8.1/lib/ffaker/data/address_uk/0000755000004100000410000000000013233715167020061 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_uk/county0000644000004100000410000000146613233715167021334 0ustar www-datawww-dataAvon Bedfordshire Berkshire Borders Buckinghamshire Cambridgeshire Central Cheshire Cleveland Clwyd Cornwall County Antrim County Armagh County Down County Fermanagh County Londonderry County Tyrone Cumbria Derbyshire Devon Dorset Dumfries and Galloway Durham Dyfed East Sussex Essex Fife Gloucestershire Grampian Greater Manchester Gwent Gwynedd County Hampshire Herefordshire Hertfordshire Highlands and Islands Humberside Isle of Wight Kent Lancashire Leicestershire Lincolnshire Lothian Merseyside Mid Glamorgan Norfolk North Yorkshire Northamptonshire Northumberland Nottinghamshire Oxfordshire Powys Rutland Shropshire Somerset South Glamorgan South Yorkshire Staffordshire Strathclyde Suffolk Surrey Tayside Tyne and Wear Warwickshire West Glamorgan West Midlands West Sussex West Yorkshire Wiltshire Worcestershireffaker-2.8.1/lib/ffaker/data/name_ph/0000755000004100000410000000000013233715167017344 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/name_ph/spanish_surnames0000644000004100000410000000456513233715167022663 0ustar www-datawww-dataAbad Abella Abracosa Acevedo Acebedo Acosta Acuesta africa Aguilar Agustin Alba Alcantara Alcantar Alconcel Alicante Alcazar Alcaraz Alferez Alejandro Alonzo alvarez Ambriz Ancheta Aquino Arabejo Arboleda Arce Arcilla Armas Arrogante Artesano Asuncion Austria Ayala Azarcon Balandra Barcelona Barrameda Barerra Barreto Barrientos Bautista Belleza Bello Belloso Belmonte Benavides Benitez Bermudo Bernal Blanco Borja Borje Buenaflor Buenaventura Buenconsejo Buendia Buenpacifico Bustamante Cabrales Cabrera Cadiz Canencia Cantillo Cachuela Capistrano Carrasco Castillo Castro Castañares Cayetano Celis Ceniza Cereza Cerezo Cerinza Cervantes Chavez Concepcion Corporal Corpuz Cordoba Cordova Cuenca Custodio Cruz Cuenca Cueva Cuevas Dantes del Castillo de la Cruz de la Torre Torre de Leon de Leon de los Reyes Desiderio Despujol Diaz Divinagracia Domingo Dominguez Dulce Dueñaz Dueñas Elefante Elizalde Ello Ereve Escalante Escaño Escribano España Espejo Estillore Estrada Estrella Eusebio Evangelista Fajardo Fandiño Fernandez Flores Fontanilla Francisco Garay Galindez Galendez Galvez Gierran Garcia Gil Gomez Gonzales Gonzalez Gonzaga Goyena Guerra Guevarra Guevara Gutierrez Hermano Hernandez Hernando Herrera Hinojosa Hojas Hontiveros Ignacio Inarez Infante Infanta Inserto Ira Isidro Jabillo Jacinto Javier Jimenez Labrador Lara Laranang Laurel Lavares Lazaro Legaspi Legazpi Lindo Lorenzo Lopez Luz Madrid Madrigal Magallanes Magno Marcelo Matias Malano Manrique Manjon Mariano Martinez Marquez Manzano Medel Mencion Mendez Mendoza Mercado Mercadejas Mesias Miedes Mineque Mipa Miranda Monceda Montecillo Monteloyola Montenegro Monteverde de Monteverde Monzon Moreno Muñoz Murcia Murcialego Nallos Nañez Nañes Núñez Natural Naval Navarro Navidad Natividad Nievez Ocampo Olaguer Olarte Orante Ordenes Opulencia Osorio Padilla Palmones Paloma Pante Pastor Patajo de la Paz Paz Pelayo Perez Pilota Pelota Pizarro Pojas Ponferrada Portugal Quema Quezada Querubin Ramientos Razon Ramirez Ramos Recio Recto Relleve Reyes Reoja Rioja Rivera Riego Rodriguez Romero Roncesvalles Roque Rosario Rosales Roxas Rojas Ruedas Salazar Salvador Santillan Santos Sarmiento Segismundo Sigismundo Silvestre Soleminio Subijano Suelto Tejada Tolosa Torrealba Torres Valle Vargas Veterano Velasco Ventura Verano Villaecija Vicente Villamar Villamor Villanueva Villaroman Villegas Villosillo Vizcaya Yllana Zacarias Zafra Zamoraffaker-2.8.1/lib/ffaker/data/name_ph/autochthonous_surnames0000644000004100000410000000351113233715167024107 0ustar www-datawww-dataAbaygar Abucay Abrogar Abulog Adona Agatep Agbayani Alimboyugen Almazan Allanic Alupay Ahkiong Amora Amurao Baal Baang Baldedara Baltar Balignasay Batungbakal Barrometrog Bello Biag Biglang-Awag Bilatan Bongalos Bitaog Butil Cabatingan Cabigas Cagas Calapatia Camat Canumay Carandang Casicas Catacutan Cawayan Cayawan Cayubyub Cojuangco Chincuanco Chuchu Cuyegkeng Dacudag Dacudao Dagalag Dahil-Dahilg Dahilang Daplas Dimaanog Dimaguibag Dimaunahang Dinlayan Dioquino Divero Dumaloan Dumalahay Dysangcog De Cedidomutila Gabuat Galitg Gallano Gatan Gosiengfiao Gubatg Guimatao Guintog Dinguinbayan Dyquiangco Humilde Ifugao Ilaban Japos Kalawakang Kanaway Kaunlarang Kulikutang Kulubotg Kumulitog Labasang Labongg Lacro Lao-laog Lazaro Lemoncito Limbudan Limcuando Linganyan Luso-Luso Macawili Macaraeg Macaspac1 Macalipay Madlambayan Madlangbayan Magan Magalingg Magbantayg Magbanua Magday Magdiwangg Maglikian Magnaye Magos Magpantayg Magpulongg Magsaysayg Mahiyag Makabaligoten Makadaang Malit Manansala Manyakesg Marapao Matapangg Makisigg Malakig Maputig Maitimg Maliitg Masipagg Matiyagag Malagar Mangsinco Magsino Murro Navea Labuguen Lantag Limbaco Limcangco Limuaco Loshangg Luansing Olan Ongpauco Ongsioco Otogan Pabalan Paca Pagsisihang Paloma Paña Panonce Patanindagat Paragili Parsaligan Pecore Peria Pilapil Pildilapil Pinagbuklodg Pinagdamutan Pinagpalag Quiambao Relano Reotutarg Santos Sariwa Sariuag Salem Salumbidez Sarte Sese Sinagtala Sipsipg Siapuatco Simangan Simsuangco Solmorog Songcuya Sumague Supsup Sydiongco Syjuco Sytengco Subrabas Tabilla Tagaan Talaugon Tala Talatala Talongg Tiaoqui Tambuatco Tanhehco Tanjutco Tanjuatco Tansiongco Tapalla Tiangco Tiongson Tubog Tubongbanua Tugonon Tagonon Tumulakg Tupas Tupaz Tupa Quiblat Quisumbing Quindipan Quibin Quibuyen Uy Uytengsu Uysiuseng Vital Vitug Vivas Yengko Yaptinchay Yapchulay Yuffaker-2.8.1/lib/ffaker/data/address_ru/0000755000004100000410000000000013233715167020070 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_ru/province0000644000004100000410000000520513233715167021642 0ustar www-datawww-dataАдыгея Алтай Алтайский край Амурская область Архангельская область Астраханская область Башкортостан Белгородская область Брянская область Бурятия Владимирская область Волгоградская область Вологодская область Воронежская область Дагестан Еврейская автономная область Забайкальский край Ивановская область Ингушетия Иркутская область Кабардино-Балкария Калининградская область Калмыкия Калужская область Камчатский край Карачаево-Черкесия Карелия Кемеровская область Кировская область Коми Костромская область Краснодарский край Красноярский край Курганская область Курская область Ленинградская область Липецкая область Магаданская область Марий Эл Мордовия Москва Московская область Мурманская область Ненецкий автономный округ Нижегородская область Новгородская область Новосибирская область Омская область Оренбургская область Орловская область Пензенская область Пермский край Приморский край Псковская область Ростовская область Рязанская область Самарская область Санкт-Петербург Саратовская область Саха Сахалинская область Свердловская область Северная Осетия - Алания Смоленская область Ставропольский край Тамбовская область Татарстан Тверская область Томская область Тульская область Тыва Тюменская область Удмуртия Ульяновская область Хабаровский край Хакасия Ханты-Мансийский автономный округ - Югра Челябинская область Чечня Чувашия Чукотский автономный округ Ямало-Ненецкий автономный округ Ярославская область ffaker-2.8.1/lib/ffaker/data/address_ru/city0000644000004100000410000000241013233715167020760 0ustar www-datawww-dataМосква Санкт-Петербург Новосибирск Нижний Новгород Екатеринбург Самара Омск Казань Челябинск Ростов-на-Дону Уфа Волгоград Пермь Волгоград Красноярск Воронеж Саратов Тольятти Краснодар Ижевск Ярославль Ульяновск Барнаул Иркутск Хабаровск Тюмень Владивосток Новокузнецк Оренбург Кемерово Липецк Набережные Челны Рязань Томск Пенза Астрахань Архангельск Белгород Брянск Владикавказ Владимир Волжский Вологда Иваново Калининград Калуга Киров Комсомольск-на-Амуре Кострома Курган Курск Магнитогорск Махачкала Мурманск Нальчик Нижневартовск Нижний Тагил Орёл Петрозаводск Саранск Смоленск Сочи Ставрополь Стерлитамак Сургут Таганрог Тамбов Тверь Тула Улан-Удэ Чебоксары Череповец Чита Якутскffaker-2.8.1/lib/ffaker/data/address_ru/street0000644000004100000410000000224313233715167021322 0ustar www-datawww-dataул. Советская ул. Молодежная ул. Центральная ул. Школьная ул. Новая ул. Садовая ул. Лесная ул. Набережная пр. Ленина пр. Мира ул. Октябрьская ул. Зеленая ул. Комсомольская ул. Заречная ул. Первомайская ул. Гагарина ул. Полевая ул. Луговая ул. Пионерская ул. Кирова ул. Юбилейная ул. Северная ул. Пролетарская ул. Степная ул. Пушкина ул. Калинина ул. Южная ул. Колхозная ул. Рабочая ул. Солнечная ул. Железнодорожная ул. Восточная ул. Заводская ул. Чапаева ул. Нагорная ул. Строителей ул. Береговая пр. Победы ул. Горького ул. Кооперативная ул. Красноармейская ул. Совхозная ул. Речная ул. Спортивная ул. Озерная ул. Строительная ул. Парковая ул. Чкалова ул. Мичурина ffaker-2.8.1/lib/ffaker/data/lorem_ja/0000755000004100000410000000000013233715167017525 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/lorem_ja/characters0000644000004100000410000000062413233715167021571 0ustar www-datawww-dataあ い う え お か き く け こ さ し す せ そ た ち つ て と な に ぬ ね の は ひ ふ へ ほ ま み む め も や ゐ ゆ ゑ よ ら り る れ ろ わ を ん が ぎ ぐ げ ご ざ じ ず ぜ ぞ だ ぢ ず で ど ば び ぶ べ ぼ ぱ ぴ ぷ ぺ ぽ ０ １ ２ ３ ４ ５ ６ ７ ８ ９ ＠ ＊ ＜ ＞ ・ ？ ！ ／ ￥ ＝ ～ ＃ ％ ＆ 、 。 ＋ － ffaker-2.8.1/lib/ffaker/data/lorem_ja/sentences0000644000004100000410000000316213233715167021441 0ustar www-datawww-data黒板につるした大きな黒い星座の図の 上から下へ白くけぶった銀河帯のようなところを指しながら ジョバンニも手をあげようとして たしかにあれがみんな星だと いつか雑誌で読んだのでしたが このごろはジョバンニはまるで毎日教室でもねむく 本を読むひまも読む本もないので ジョバンニは勢いよく立ちあがりましたが ザネリが前の席からふりかえって やっぱり星だとジョバンニは思いましたが 先生はしばらく困ったようすでしたが 眼をカムパネルラの方へ向けて するとあんなに元気に手をあげたカムパネルラが 先生は意外なようにしばらくじっとカムパネルラを見ていましたが と言いながら そうだ僕は知っていたのだ もちろんカムパネルラも知っている それどこでなくカムパネルラは その雑誌を読むと すぐお父さんの書斎から巨きな本をもってきて ぎんがというところをひろげ それをカムパネルラが忘れるはずもなかったのに すぐに返事をしなかったのは このごろぼくが 朝にも午後にも仕事がつらく 学校に出てももうみんなともはきはき遊ばず カムパネルラともあんまり物を言わないようになったので カムパネルラがそれを知ってきのどくがってわざと返事をしなかったのだ そう考えるとたまらないほど そして教室じゅうはしばらく机の蓋をあけたりしめたり本を重ねたりする音がいっぱいでしたが ffaker-2.8.1/lib/ffaker/data/lorem_ja/words0000644000004100000410000000114413233715167020606 0ustar www-datawww-dataカムパネルラ ジョバンニ 星 銀河 先生 天の川 水 手 川 粒 レンズ 雑誌 乳 太陽 地球 赤 つぶ 眼 ほんとう お父さん 教室 望遠鏡 砂 ぼんやり 返事 教室じゅう 毎日教室 あんまり物 銀河帯 脂油 真空 模型 のど つまり 球 答え 点々 いっしょ 四方 博士 ぎん 凸レンズ いちいち 理科 白 星図 図 流れ 書斎 底 写真 仕事 頁 下 席 学校 次 一つ一つ まん中 涙 ザネリ 机 説 黒板 ガラス 気持ち 蓋 お祭り 光 両面 礼 ひま ページ 自分 形 外 音 ノート 承知 星座 砂利 ffaker-2.8.1/lib/ffaker/data/lorem_ja/sentences_end0000644000004100000410000000273113233715167022270 0ustar www-datawww-dataみんなに問いをかけました カムパネルラが手をあげました それから四、五人手をあげました 急いでそのままやめました ところが先生は早くもそれを見つけたのでした なんだかどんなこともよくわからないという気持ちがするのでした 立ってみるともうはっきりとそれを答えることができないのでした ジョバンニを見てくすっとわらいました ジョバンニはもうどぎまぎしてまっ赤になってしまいました 先生がまた言いました こんどもすぐに答えることができませんでした やはりもじもじ立ち上がったままやはり答えができませんでした 自分で星図を指しました ジョバンニはまっ赤になってうなずきました けれどもいつかジョバンニの眼のなかには涙がいっぱいになりました それはいつかカムパネルラのお父さんの博士のうちでカムパネルラといっしょに読んだ雑誌のなかにあったのだ まっ黒な頁《ページ》いっぱいに白に点々のある美しい写真を二人でいつまでも見たのでした じぶんもカムパネルラもあわれなような気がするのでした 先生はまた言いました 先生は中にたくさん光る砂のつぶのはいった大きな両面の凸レンズを指しました まもなくみんなはきちんと立って礼をすると教室を出ました ffaker-2.8.1/lib/ffaker/data/name_fr/0000755000004100000410000000000013233715167017344 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/name_fr/last_names0000644000004100000410000000561713233715167021426 0ustar www-datawww-dataMartin Bernard Thomas Robert Petit Dubois Richard Garcia Durand Moreau Lefebvre Simon Laurent Michel Leroy Martinez David Fontaine Da Silva Morel Fournier Dupont Bertrand Lambert Rousseau Girard Roux Vincent Lefevre Boyer Lopez Bonnet Andre Francois Mercier Muller Guerin Legrand Sanchez Garnier Chevalier Faure Perez Clement Fernandez Blanc Robin Morin Gauthier Pereira Perrin Roussel Henry Duval Gautier Nicolas Masson Marie Noel Ferreira Lemaire Mathieu Riviere Denis Marchand Rodriguez Dumont Payet Lucas Dufour Dos Santos Joly Blanchard Meunier Rodrigues Caron Gerard Fernandes Brunet Meyer Barbier Leroux Renard Goncalves Gaillard Brun Roy Picard Giraud Roger Schmitt Colin Arnaud Vidal Gonzalez Lemoine Roche Aubert Olivier Leclercq Pierre Philippe Bourgeois Renaud Martins Leclerc Guillaume Lacroix Lecomte Benoit Fabre Carpentier Vasseur Louis Hubert Jean Dumas Rolland Grondin Rey Huet Gomez Dupuis Guillot Berger Moulin Hoarau Menard Deschamps Fleury Adam Boucher Poirier Bertin Charles Aubry Da Costa Royer Dupuy Maillard Paris Baron Lopes Guyot Carre Jacquet Renault Herve Charpentier Klein Cousin Collet Leger Ribeiro Hernandez Bailly Schneider Le Gall Ruiz Langlois Bouvier Gomes Prevost Julien Lebrun Breton Germain Millet Boulanger Remy Le Roux Daniel Marques Maillot Leblanc Le Goff Barre Perrot Leveque Marty Benard Monnier Hamon Pelletier Alves Etienne Marchal Poulain Tessier Lemaitre Guichard Besson Mallet Hoareau Gillet Weber Jacob Collin Chevallier Perrier Michaud Carlier Delaunay Chauvin Alexandre Marechal Antoine Lebon Cordier Lejeune Bouchet Pasquier Legros Delattre Humbert De Oliveira Briand Lamy Launay Gilbert Perret Lesage Gay Nguyen Navarro Besnard Pichon Hebert Cohen Pons Lebreton Sauvage De Sousa Pineau Albert Jacques Pinto Barthelemy Turpin Bigot Lelievre Georges Reynaud Ollivier Martel Voisin Leduc Guillet Vallee Coulon Camus Marin Teixeira Costa Mahe Didier Charrier Gaudin Bodin Guillou Gregoire Gros Blanchet Buisson Blondel Paul Dijoux Barbe Hardy Laine Evrard Laporte Rossi Joubert Regnier Tanguy Gimenez Allard Devaux Morvan Levy Dias Courtois Lenoir Berthelot Pascal Vaillant Guilbert Thibault Moreno Duhamel Colas Masse Baudry Bruneau Verdier Delorme Blin Guillon Mary Coste Pruvost Maury Allain Valentin Godard Joseph Brunel Marion Texier Seguin Raynaud Bourdon Raymond Bonneau Chauvet Maurice Legendre Loiseau Ferrand Toussaint Techer Lombard Lefort Couturier Bousquet Diaz Riou Clerc Weiss Imbert Jourdan Delahaye Gilles Guibert Begue Descamps Delmas Peltier Dupre Chartier Martineau Laroche Leconte Maillet Parent Labbe Potier Bazin Normand Pottier Torres Lagarde Blot Jacquot Lemonnier Grenier Rocher Bonnin Boutin Fischer Munoz Neveu Lacombe Mendes Delannoy Auger Wagner Fouquet Mace Ramos Pages Petitjean Chauveau Foucher Peron Guyon Gallet Rousset Traore Bernier Vallet Letellier Bouvet Hamel Chretien Faivre Boulay Thierry Samson Ledoux Salmon Gosselin Lecoq Pires Leleu Becker Diallo Merle Valetteffaker-2.8.1/lib/ffaker/data/name_fr/first_names0000644000004100000410000000335313233715167021605 0ustar www-datawww-dataAdrien Aimé Alain Alexandre Alfred Alphonse André Antoine Arthur Auguste Augustin Benjamin Benoît Bernard Bertrand Charles Christophe Daniel David Denis Édouard Émile Emmanuel Éric Étienne Eugène François Franck Frédéric Gabriel Georges Gérard Gilbert Gilles Grégoire Guillaume Guy William Henri Honoré Hugues Isaac Jacques Jean Jérôme Joseph Jules Julien Laurent Léon Louis Luc Lucas Marc Marcel Martin Matthieu Maurice Michel Nicolas Noël Olivier Patrick Paul Philippe Pierre Raymond Rémy René Richard Robert Roger Roland Sébastien Stéphane Théodore Théophile Thibaut Thibault Thierry Thomas Timothée Tristan Victor Vincent Xavier Yves Zacharie Adélaïde Adèle Adrienne Agathe Agnès Aimée Alexandrie Alix Alexandria Alex Alice Amélie Anaïs Anastasie Andrée Anne Anouk Antoinette Arnaude Astrid Audrey Aurélie Aurore Bernadette Brigitte Capucine Caroline Catherine Cécile Céline Célina Chantal Charlotte Christelle Christiane Christine Claire Claudine Clémence Colette Constance Corinne Danielle Denise Diane Dorothée Édith Éléonore Élisabeth Élise Élodie Émilie Emmanuelle Françoise Frédérique Gabrielle Geneviève Hélène Henriette Hortense Inès Isabelle Jacqueline Jeanne Jeannine Joséphine Josette Julie Juliette Laetitia Laure Laurence Lorraine Louise Luce Lucie Lucy Madeleine Manon Marcelle Margaux Margaud Margot Marguerite Margot Margaret Maggie daisy Marianne Marie Marine Marthe Martine Maryse Mathilde Michèle Michelle Michelle Monique Nathalie Nath Nathalie Nicole Noémi Océane Odette Olivie Patricia Paulette Pauline Pénélope Philippine Renée Sabine Simone Sophie Stéphanie Susanne Suzanne Susan Suzanne Sylvie Thérèse Valentine Valérie Véronique Victoire Virginie Zoé Camille Claude Dominiqueffaker-2.8.1/lib/ffaker/data/address_nl/0000755000004100000410000000000013233715167020053 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_nl/province0000644000004100000410000000017513233715167021626 0ustar www-datawww-dataGroningen Friesland Overijssel Noord-Holland Zuid-Holland Limburg Utrecht Gelderland Drenthe Flevoland Noord-Brabant Zeeland ffaker-2.8.1/lib/ffaker/data/address_nl/city0000644000004100000410000005425313233715167020757 0ustar www-datawww-data's-Gravenhage 's-Gravenhage-Blommendael 's-Gravenhage-Ockenrode 's-Gravenpolder 's-Heer Abtskerke 's-Heer Arenskerke 's-Heer Hendrikskinderen 's-Heerenbroek 's-Heerenhoek 's-Hertogenbosch 't Goy 't Harde 't Horntje 't Loo 't Veld 't Zand 't Zand 't Zandt Aadorp Aagtekerke Aalden Aalsmeer Aalst Aalst Aalten Aan de Berg Aardenburg Aarlanderveen Aarle-Rixtel Abbega Abbekerk Abbenbroek Abbenes Abcoude Achlum Achterberg Achterdrempt Achterveld Achthuizen Achtmaal Acquoy Adorp Aduard Aerdt Afferden Afferden Agodorp-Burgemeester Beinsdorp Aijen Akersloot Akkrum Albergen Alblasserdam Aldeboarn Alem Alkmaar Almelo Almen Almere-Buiten Almere-Haven Almere-Hout Almere-Stad Almkerk Alphen Alphen Alphen aan den Rijn Altena Alteveer Alteveer Altforst Altweerterheide Alverna Ameide America Amerongen Amersfoort Ammerstol Ammerzoden Amsterdam Andel Andelst Andijk Angeren Angerlo Anjum Ankeveen Anloo Anna Jacobapolder Anna-Paulowna Annen Apeldoorn Appelscha Appeltern Appingedam Arcen Arensgenhout Arkel Arnemuiden Arnhem Arnhem-Zuid Arum Asch Asenray Asperen Assen Assendelft Assendelft-Mariahoeve Assendelft-Zuideinde Asten Augustinusga Austerlitz Avenhorn Axel Azewijn Baak Baambrugge Baard Baarland Baarle-Hertog Baarle-Nassau Baarlo Baarn Babberich Babberich-Oost Baexem Baflo Bakel Bakhuizen Bakkeveen Balgoy Balk Balkbrug Ballum Baneheide Banholt Bant Barchem Barendrecht Barger-Compascuum Barneveld Barsingerhorn Batenburg Bath Bathmen Beckum Bedum Beegden Beek Beek Beek en Donk Beekbergen Beekbergen-Hulsthorstweg Beers Beerta Beerzerveld Beesd Beesel Beetgum Beetgumermolen Beets Beetsterzwaag Beilen Beinsdorp Beinum Bekkenkamp Belfeld Bellingwolde Bellingwolde-Heemhof Bellingwolde-Noord Belt-Schutsloot Beltrum Bemelen Bemmel Beneden-Leeuwen Benedenvaart Bennebroek Bennekom Benschop Bentelo Benthuizen Berg Berg Berg en Dal Bergambacht Bergeijk Bergen Bergen Bergen -Buerweg Bergen aan Zee Bergen aan Zee-Russenduin Bergen op Zoom Bergen-Siebengewaldseweg Bergentheim Bergharen Berghem Bergschenhoek Bergum Beringe Berkel Berkel-Enschot Berkenwoude-Oost Berkenwoude-West Berkhout Berlicum Berlikum Best Bestmen Beugen Beukbergen Beuningen Beuningen Beusichem Biddinghuizen Bierum Biervliet Biezelinge Biezenmortel Biggekerke Bikbergen Bilthoven Bingelrade Birdaard Blaaksedijk Bladel Blaricum Blauhuis Bleiswijk Blerick Bleskensgraaf Blije Blijham Blitterswijck Blokzijl Bocholtz Bocholtzerheide Bodegraven Boekel Boekelo Boekelo-West Boekend Boelenslaan Boerakker Boerdonk Boerhaar Boijl Bokhoven Boksum Bolsward Bontebok Bontebrug Boornbergum Borculo Borger Borgharen Borkel Born Borne Bornerbroek Borssele Bosch en Duin Boschhoven Boshoven Boskamp Boskant Boskoop Boskoop-Vereenigde polder Bosschenhoofd Boukoul Bourtange Boven-Hardinxveld Boven-Leeuwen Bovenkarspel Bovensmilde Boxmeer Boxtel Bozum Braamt Brakel Brantgum Breda Bredevoort Breedenbroek Breedeweg Breezand Breskens Breskens-Noord-Oost Breugel Breukelen Breukelen-West Brielle Britsum Broek in Waterland Broek op Langed Broekhuizen Broekhuizenvorst Broekland Broeksterwoude Bronkhorst Brouwershaven Bruchem Bruchterveld Bruinehaar Bruinisse Brummen Buchten Budel Budel-Dorplein Budel-Schoot-Noord Budel-Schoot-Zuid Buggenum Buinen Buitenkaag Buitenpost Buitenvaart Bunde Bunde-Noord Bunnik Bunschoten Buren Buren-Noord Buren-Zuid Burgerbrug Burgerveen Burgh Burgwerd Burum Bussloo Bussum Buurmalsen Buurse Cabauw Cadier en Keer Cadzand Cadzand-Bad Calfven Callantsoog Camperduin Castenray Casteren Castricum Catrijp Chaam Clinge Coevorden Coevorden-Klinkenvier Colijnsplaat Cornjum Cothen Creil Cromvoirt Cuijk Culemborg d Rijn Daarle Daarlerveen Dalen Dalerpeel Dalfsen Damwoude Damwoude-Oost Darp De Anloup De Bilt De Blesse De Brabander De Cocksdorp De Donckse Velden De Engel-Noord De Engel-Zuid De Glind De Goorn De Groeve De Haere De Heeg De Heen De Heurne De Hoef De Horst De Hoven De Jister De Knipe De Koog De Krim De Kwakel De Lier De Lutte De Mortel De Noord De Rijp De Rips De Santbrincke De Steeg De Vossenberg De Waal De Weere De Weere-Noord De Wijk De Wilgen De Wilp De Zilk Dedemsvaart Deest Deil Deinum Delden Delfzijl Delwijnen Den Andel Den Bommel Den Burg Den Dolder Den Dungen Den Ham Den Helder Den Hoorn Den Hout Den Ilp Den Nul Den Oever Denekamp Deurne Deurningen Deursen-Dennenburg Deventer Didam Diepenheim Diepenveen Dieren Diessen Dieteren Diever Dijkerhoek Dinteloord Dinther Dinxperlo Dinxterveen Dirkshorn Dirksland Dishoek Distelberg Dodewaard Doenrade Doesburg Doetinchem Doezum Dokkum Domburg Dommelen Doncksebos Donderen Dongen Dongjum Donkerbroek Doorn Doorn-West Doornenburg Doornspijk Doorwerth Dordrecht Dorst Drachten Drachtstercompagnie Dreischor Drempt Dreumel Driebergen-Boswijk Driebergen-Rijsenburg Drieborg Driebruggen Driel Driemond Driesum Driewegen Driewegen Drimmelen Drogeham Drongelen Dronrijp Dronten Drouwen Drunen Druten Duiven Duizel Dussen Dwingeloo Echt Echteld Echten Echtenerbrug Eck en Wiel Eckelrade Edam Ede Ederveen Ee Eede Eefde Eelde Eemdijk Eemnes Een Eeneind Eenrum Eerbeek Eerde Eernewoude Eersel Ees Eesveen Eethen Eext Eexterveen Effen Egchel Egmond aan den Hoef Egmond aan Zee Egmond-Binnen Eibergen Eijsden Eind Eindhoven Einighausen-Noord Einighausen-Zuid Ekehaar Elahuizen Elburg Elim Ell Ellecom Ellemeet Ellewoutsdijk Elp Elsendorp Elshout Elsloo Elspeet Elst Elst Emmeloord Emmen Emmen-Noord Emmen-Zuid Emmer-Compascuum Emmer-Erfscheidenveen Empe Emst Engelbert Engelen Engelum Engwierum Enkhuizen Ens Enschede Enspijk Enter Epe Epe-De Epenhorst Epen Epse Erica Erichem Ermelo Ermelo-Horst Ern Erp Esbeek Esch Escharen Espel Est Etsberg Etten Etten-Leur Everdingen Everse en Koevering Ewijk Exloo Exmorra Eys Ezinge Feerwerd Ferwerd Fijnaart Finsterwolde Fleringen Flevopoort Fluitenberg Fochteloo Folsgare Fort Franeker Frieschepalen Froombosch Gaanderen Gaast Gaastmeer Galder Gameren Ganzedijk Gapinge Garderen Garijp Garmerwolde Garnwerd Garrelsweer Garsthuizen Gassel Gasselte Gasselternijveen Gastel Gasteren Gauw Geersdijk Geertruidenberg Geervliet Gees Geesbrug Geesteren Geesteren Geffen Geldermalsen Geldrop Geleen Gellicum Gelselaar Gemert Gemonde Genderen Gendringen Gendt Genemuiden Gennep Gerkesklooster Gerwen Geulle Geverik Geysteren Giekerk Giesbeek Giessen Giessenburg Giessendam Gieten Gieterveen Giethoorn Giethoorn-Zuideinde-Oost Giethoorn-Zuideinde-West Gijbeland Gilze Ginderover Glimmen Godlinze Goedereede Goedereede-Havenhoofd Goes Goingarijp Goirle Goor Gorinchem Gorredijk Gorssel Gorssel-Oost Gouda Gouderak Goudriaan Goudswaard Graauw Graetheide Grafhorst Graft Gramsbergen Grashoek Grathem Grave Grevenbicht Griendtsveen-Oost Griendtsveen-West Grijpskerk Grijpskerke Grijzegrubben Groede Groenekan Groenlo Groenlo Zuid-Oost Groesbeek Groessen Groet Grolloo Groningen Gronsveld Groot Genhout Groot-Ammers Grootebroek Grootegast Grootschermer Grou Grubbenvorst Gulpen Guttecoven Haaften Haaksbergen Haalderen Haamstede Haamstede-Noord Haaren Haaren-'t Eind Haarle Haarlem Haarlo Haarsteeg Haarzuilens Haastrecht Haelen Hagestein Haghorst Halder Haler Halfweg Hall Halle Hallum Halsteren Handel Hank Hansweert Hantum Hantumhuizen Hapert Haps Harbrinkhoek Hardegarijp Hardenberg Hardenberg Harderwijk Harderwijk-Drielanden Haren Harfsen Harich Harkema Harkstede Harlingen Harmelen Harreveld Harskamp Haskerdijken Haskerhorne Hasselderheide Hasselt Hattem Hattemerbroek Haule Haulerwijk Hauwert Havelte Havelterberg Hazerswoude-Dorp Hazerswoude-Rijndijk Hedel Heeg Heel Heelsum Heenvliet Heenweg Heerde Heerde-Bakhuisbos Heerenveen Heerewaarden Heerhugowaard Heerjansdam Heerle Heerlen Heesch Heeswijk Heeten Heetveld Heeze Hei- en Boeicop Heibloem Heide Heide Heijen Heijningen Heikant Heiloo Heinenoord Heinkenszand Heino Hekelingen Hekendorp Helenaveen Hellendoorn Hellevoetsluis Hellouw Hellum Helmond Helmond-Dierdonk Helvoirt Helwijk Hem Hemelum Hemrik Hengelo Hengelo Hengelo-Noord Hengevelde Hengstdijk Hensbroek Herbaijum Herkenbosch Herkingen Hernen Herpen Herpt Herten Hertme Herveld-Noord Herveld-Zuid Herwen Herwijnen Herwijnen-Buitenburg Heteren Heukelum Heumen Heusden Heusden Heveadorp Heythuysen Hierden Hierden-De Biest Hijken Hijum Hilaard Hillegom Hillegom-Zanderij Hilvarenbeek Hilversum Hindeloopen Hippolytushoef Hitzum Hoedekenskerke Hoek Hoek van Holland Hoek van Holland-Strand Hoenderloo Hoevelaken Hoeven Hoge Enk Hollandsche Rading Hollandsche Rading-West Hollandsche Rading-Zuid Hollandscheveld Hollum Holten Holten-Noord Holthees Holtum Holwerd Holwierde Hommerts Honselersdijk Hoofddorp Hoofdplaat Hoog-Keppel Hoogblokland Hooge Mierde Hooge Zwaluwe-Noord Hooge Zwaluwe-Zuid Hoogeloon Hoogerheide Hoogersmilde Hoogeveen Hoogezand Hoogezand-Oostermeer Hooghalen Hoogkarspel Hoogkerk Hoogkerk-Zuid-Oost Hoogmade Hoogvliet Hoogwoud Hoonhorst Hoorn Hoorn Hoornaar Horn Horssen Horst Houtakker Houten Houthem Houtigehage Houtribhaven Houwerzijl Hoven Huijbergen Huis ter Heide Huisduinen Huissen Huizen Huizinge Hulsberg Hulsel Hulsen Hulshorst Hulst Hulst-Oost Hummelo Hunsel Hurwenen IJburg-Noordwest IJburg-Zuidoost IJhorst IJlst IJmond IJssellaan IJsselmuiden IJsselstein IJzendijke IJzendoorn Ilpendam Indoornik Ingen Itens Itteren Ittervoort Jaarsveld Jabeek Jelsum Jipsingboermussel Jipsingboertange Jirnsum Jiskenhuizen Jisp Jistrum Jonkersland Jorwerd Joure Jubbega Julianadorp Jutrijp Kaag Kaatsheuvel Kalenberg Kamerik Kampen Kampen-Onderdijks Kamperland Kamperzeedijk-Oost Kanis Kantens Kapel-Avezaath Kapelle Kapellebrug Katerbosch Kats Kattendijke Katwijk Kedichem Keijenborg Kekerdom Keldonk Kelpen Kerk-Avezaath Kerkbuurt Kerkdriel Kerkenveld Kerkrade Kerkwerve Kerkwijk Kessel Kesseleik Kesteren Kievitsdel Kilder Kille Kimswerd Kinderdijk Klaaswaal Klarenbeek Klazienaveen Klein Groningen Klijndijk Klimmen Kloetinge Kloosterburen Kloosterhaar Kloosterzande Klundert Knegsel Kockengen Koekange Koewacht Kolham Kolhorn Kollum Kollumerpomp Kollumerzwaag Kollumerzwaag -Zuid Kommerzijl Koningsbosch Koningslust Kootstertille Kootwijkerbroek Kornhorn Kortenhoef Kortgene Koudekerk a Koudekerke Koudhoorn Koudum Krabbendijke Kraggenburg Kranenburg Kreileroord Krimpen aan de Lek Kronenberg Kropswolde Kruiningen Kruisland Kruisweg Kubaard Kudelstaart Kuinre Kwadendamme Kwadijk Kwintsheul Laag Zuthem Laag-Keppel Laag-Soeren Laar Lage Mierde Lage Vuursche Lage Weg Lage Zwaluwe Lamswaarde Landhorst Landsmeer Langbroek Langenboom Langeraar Langeraar-Zuid Langerak Langeveen Langeweg Langezwaag Langweer Laren Laren Lathum Lattrop Ledeacker Leegkerk Leek Leende Leenderstrijp Leens Leerbroek Leerdam Leerrmens Leersum Leeuwarden Leiden Leimuiden Lekkerkerk Lekkum Lelystad Lelystad-Jagersveld Lelystad-Kromkamp Lelystad-Zuigerplas Lemele Lemelerveld Lemiers Lemmer Lennisheuvel Lent Lepelstraat Lettele Leunen Leusden Leuth Leveroy Lewedorp Lexmond Lexmond-Noord Lichtenvoorde Liempde Lienden Lierderholthuis Lieren Lierop Lieshout Liessel Lievelde Limbricht Limmen Linden Linne Linschoten Lintelo Lioessens Lippenhuizen Lisse Lisserbroek Lith Lithoijen Lobith Lochem Loenen Loenen Loenersloot Loil Lollum Lomm Lonneker Loo Loo Loon Loon op Zand Loosbroek Lopik Lopikerkapel Loppersum Losser Lottum Lunteren Lutjebroek Lutjegast Lutjewinkel Luttelgeest Lutten Luttenberg Luyksgestel Maarheeze Maarn Maarsbergen Maartensdijk Maasbommel Maasbracht Maasbracht-Brachterbeek Maasbree Maasdam Maasdijk Maashees Maasland Maassluis Maastricht Macharen Made Makkinga Makkum Malden Manderveen Mantgum Maren-Kessel Margraten Mariadorp Mariaheide Mariahoop Mariahout Mariaparochie Mariënberg Mariënheem Mariënvelde Markelo Marken Marken-Kerkbuurt Markenbinnen Marknesse Marrum Marssum Marum Maurik Mechelen Meddo Medemblik Meeden Meedhuizen Meerkerk Meerlo Meers Meerssen Meerwijck Meeuwen Megchelen Megen Meijel Melderslo Melick Meliskerke Melissant Menaldum Meppel Meppen Merkelbeek Merselo Merum Mesch Meteren Meterik Metslawier Mheer Mheer-Hackenroth Middelaar Middelbeers Middelburg Middelharnis Middelie Middelrode Middelsluis Middelstum Middenbeemster Middenmeer Midlum Midsland Midwolda Midwoud Mierlo Mijdrecht Mijnsheerenland Mildam Milheeze Mill Millingen aan de Rijn Milsbeek Minkelose Heul Minnertsga Moerdijk Moergestel Moerkapelle Moerstraten Molenaarsgraaf Molenend Molenheide Molenhoek Molenschot Molkwerum Monnickendam Monster Monster-Het Westerhonk Montfoort Montfort Mook Mookhoek Moordrecht Moorveld Morra Muiden Muiderberg Munnekezijl Munstergeleen Muntendam Mussel Musselkanaal Naaldwijk Naarden Naarden-Naarderbos Naarden-Vesting Nagele Neck Neder-Hardinxveld Nederasselt Nederhemert-Noord Nederhorst Den Berg Nederweert Nederwetten Neede Neer Neeritter Neerkant Nes Nes Nes aan de Amstel Netersel Netterden Nibbixwoud Niebert Niehove Niekerk Nieuw Bergen Nieuw- en Sint Joosland Nieuw-Amsterdam Nieuw-Balinge Nieuw-Beerta Nieuw-Beijerland Nieuw-Dijk Nieuw-Dordrecht Nieuw-Haamstede Nieuw-Heeten Nieuw-Lekkerland Nieuw-Loosdrecht Nieuw-Namen Nieuw-Schoonebeek Nieuw-Vennep Nieuw-Vossemeer Nieuw-Weerdinge Nieuw-Wehl Nieuwaal Nieuwdorp Nieuwe Niedorp-Zuid Nieuwe Pekela Nieuwe Pekela-De Weerd Nieuwe-Tonge Nieuwe-Vaart Nieuwegein Nieuwehorne Nieuwendijk Nieuwendijk Nieuwenhoorn Nieuwer-Ter-Aa Nieuwerbrug Nieuwerkerk Nieuwerkerk aan den IJssel Nieuweroord Nieuwersluis Nieuweschans Nieuwkoop Nieuwkuijk Nieuwland Nieuwlande Nieuwleusen Nieuwolda Nieuwolda-Oost Nieuwpoort Nieuwstadt Nieuwveen Nieuwvliet Niezijl Niftrik Nigtevecht Nij Altoenae Nij Beets Nijbroek Nijega Nijemirdum Nijeveen Nijewier Nijkerk Nijkerkerveen Nijland Nijmegen Nijmegen-Oosterhout Nijnsel Nijswiller Nijverdal Nispen Nisse Nistelrode Noorbeek Noord Deurningen Noord-Sleen Noordbergum Noordbroek Noordeinde Noordeloos Noorden Noordgouwe Noordhoek Noordhorn Noordijk Noordlaren Noordwelle Noordwijk Noordwijk Noordwijkerhout Noordwolde Noordwolde Norg Nuenen Nuis Nuland Numansdorp Nummer Één Nunhem Nunspeet Nuth Obbicht Obdam Ochten Odijk Odiliapeel Odoorn Oeffelt Oene Oenkerk Ohé Oijen Oirlo Oirschot Oisterwijk Okkenbroek Olburgen Oldeberkoop Oldebroek Oldeholtpade Oldehove Oldemarkt Oldenzaal Olland Olst Ommel Ommelanderwijk Ommen Ommeren Onderdendam Onderdijk Onnen Onstwedde Ooij Ool Ooltgensplaat Oost-Graftdijk Oost-Knollendam Oost-Maarland Oost-Souburg Oost-Vlieland Oostburg Oostdijk Oosteind Oosteinde Oostelbeers Oosterbeek Oosterbierum Oosterblokker Oosterend Oosterend Oosterhesselen Oosterhout Oosterhout Oosterland Oosterlittens Oostermeer Oosternijkerk Oosterstreek Oosterwierum Oosterwijtwerd Oosterwolde Oosterwolde Oosterzee-Gietersebrug Oosthem Oosthuizen Oostkapelle Oostkappelle-Veldzigt Oostmahorn Oostrum Oostrum Oostvoorne Oostwold Oostwold Oostwoud Oostzaan Ootmarsum Opeinde Opende Ophemert Opheusden Opijnen Oploo Opmeer Oppenhuizen Opperdoes Ospel Ospeldijk Oss Ossendrecht Ossenisse Ossenzijl Oterleek Otterlo Ottersum Ottoland Oud Gastel Oud Velp Oud Zevenaar Oud-Ade Oud-Alblas Oud-Beijerland Oud-Heusden Oud-Loosdrecht Oud-Sabbinge Oud-Vossemeer Ouddorp Oude Bildtzijl Oude Leije Oude Pekela Oude Pekela-Zuid Oude Wetering Oude-Tonge Oude-Tonge-Zuid Oudega Oudega Oudega Oudehaske Oudelande Oudemirdum Oudenbosch Oudendijk Oudenhoorn Ouderkerk aan de Amstel Ouderkerk aan den IJssel Oudeschild Oudesluis Oudewater Oudkarspel Oudkerk Oudleusen Oudwoude Ouwerkerk Ouwsterhaule Overasselt Overberg Overdinkel Overeys Overlangel Overloon Overmeer Overslag Ovezande Paal Paesens Panheel Pannerden Panningen Papenhoven Papenveer Partij Paterswolde Paterswolde-Noord Peins Peize Peperga Pesse Petten Philippine Piershil Pieterburen Pieterzijl Pijnacker Pingjum Plasmolen Poederoijen Poeldijk Polsbroek Poortugaal Poortvliet Poppingawier Posterholt Posterholt-Oost Prinsenbeek Punthorst Purmerend Puth Putte Putten Puttershoek Raalte Raamsdonk Raamsdonksveer Raard Randwijk Ransdaal Rasquert Rauwerd Ravenstein Ravenswaaij Ravenswoud Reduzum Reek Reeuwijk Reeuwijk-Dorp Reijmerstok Reitsum Rekken Renesse Renkum Renswoude Retranchement Reusel Reutje Reutum Reuver Rheden Rhederbrug Rhenen Rhenen-Cuneraweg Rhenoy Rhoon Rhoon-Kiefhoek Ridderkerk Ried Riel Riethoven Rietmolen Rijckholt Rijen Rijkevoort Rijnsaterwoude Rijperkerk Rijpwetering Rijsbergen Rijsenhout Rijsoord Rijssen Rijswijk Rijswijk Rilland Rimburg Rinsumageest Ritthem Rockanje Roden Rodenrijs Roderesch Roderwolde Roelofarendsveen-Zuid Roelofsarendsveen Roermond Roggel Rolde Roodeschool Roosendaal Roosteren Rossum Rossum Roswinkel Rothem Rothenbach Rotterdam Rottevalle Rottum Rottum Rouveen Rozenburg Rozenburg-Noord Rucphen Ruinen Ruinerwold Rumpt Rutten Ruurlo s Gravenduin s Gravenmoer s-Gravendeel s-Gravenzande s-Heerenberg Saaksum Saasveld Sambeek Santpoort-Noord Sappemeer Sas van Gent Sassenheim Sauwerd Schagen Schagerbrug Schaijk Schalkhaar-Noord Schalkwijk Scharendijke Scharnegoutum Scharsterbrug Scharwoude Scharwoude Scheemda Scheerwolde Schellingwoude Schellinkhout Schelluinen Schenkeldijk Schermerhorn Scherpenisse Scherpenzeel Scherpenzeel Schiermonnikoog Schietberg Schijf Schijndel Schilberg Schildwolde Schimmert Schin op Geul Schinnen Schinveld Schipborg Schipluiden Schipperskerk Schoondijke Schoonebeek Schoonhoven Schoonloo Schoonoord Schoonrewoerd Schoorl Schoorldam Schore Schraard Schuddebeurs Schuinesloot Sellingen Serooskerke Serooskerke Sevenum Sexbierum Sibbe Sibculo Siddeburen Siebengewald Sijbekarspel Sijbrandaburen Silvolde Simonshaven Simpelveld Sinderen Sint Agatha Sint Annaland Sint Annaparochie Sint Anthonis Sint Geertruid Sint Hubert Sint Isidorushoeve Sint Jacobiparochie Sint Jansklooster Sint Jansteen Sint Joost Sint Kruis Sint Laurens Sint Maarten Sint Maartensbrug Sint Maartensdijk Sint Maartensvlotbrug Sint Michielsgestel Sint Odiliënberg Sint Oedenrode Sint Philipsland Sint Willebrord Sint-Annen Sintjohannesga Sirjansland Sittard Slagharen Sleen Sleeuwijk Slek Slenaken Sliedrecht Slochteren Slootdorp Sloten Sluis Sluiskil Smilde Sneek Snijdersberg Soerendonk Soest Soestduinen Soesterberg Someren Someren-Eind Someren-Heide Sommelsdijk Son Spaarndam Spakenburg Spannum Spaubeek Spier Spierdijk Spijk Spijk Spijk Spijkenisse Spoordonk Sprundel Spui St Jacobsbrug St Nicolaasga Stad aan 't Haringvliet Stadskanaal Stadskanaal-de Heggerank Stampersgat Standdaarbuiten Staphorst Stavenisse Stavoren Stedum Steenbergen Steenderen Steenenkamer Steensel Steenwijk Steenwijkerwold Steenwijksmoer Steggerda Stein Stellendam Sterksel Stevensbeek Stevensweert Stiens Stiphout Stiphout Zuid-West Stofmolen Stokkum Stolwijk Stommeveld Stompetoren Stompwijk Stramproy Streefkerk Strijen Strijensas Stroe Stuifzand Suameer Suawoude Surhuisterveen Surhuizum Susteren Swalmen Swartbroek Sweagerbosk Sweikhuizen Swifterbant Swolgen Teeffelen Tegelen Ten Boer Ten Post Ter Aar Ter Apel Ter Heijde Ter Hole Terborg Terheijden Terherne Terhofstede Termaar Termunten Termunterzijl Ternaard Terneuzen Terschuur Terwispel Terwolde Terzool Teteringen Teuge Thesinge Tholen Thorn Tiel Tiendeveen Tienhoven Tienray Tietjerk Tijnje Tilburg Tilligte Tjalleberd Tjerkwerd Toldijk Tolkamer Tollebeek Tricht Triemen Tubbergen Tuil Tuitjenhorn Tull en 't Waal Tungelroy Tweede Exloërmond Twello Twijzel Twisk Twizelerheide Tynaarlo Tzum Tzummarum Ubachsberg Ubbergen Uddel Uden Udenhout Uffelte Uitgeest Uithoorn Uithuizen Uithuizen-Oost Uithuizermeeden Uitweg Uitwijk Ulestraten Ulft Ulicoten Ulrum Ulvenhout Ureterp Urk Urmond-Oost Urmond-West Ursem Usquert Utrecht Vaals Vaart Vaassen Vaesrade Valburg Valkenburg Valkenswaard Valthe Valtherblokken Valthermond-Midden Valthermond-Noord Valthermond-Zuid Van Ewijcksluis Varik Varsselder Varsseveld Vasse Veelerveen Veen Veendam Veenendaal Veenhuizen Veeningen Veenwouden Veere Veere-Buiten de Veste Veere-Zanddijk Veessen Vegelinsoord Veghel Velddriel Velden Veldhoek Velp Velserbroek Velswijk Ven-Zelderheide Venhorst Venhuizen Venlo Venlo-Herungerberg Venray Vessem Veulen Vianen Vianen Vierhouten Vierlingsbeek Vierpolders Vijfhuizen Vijlen Vilsteren Vilt Vinkel Vinkeveen Vinkeveen-Veldwijck Visvliet Vlagtwedde Vledder Vledderveen Vlierden Vlijmen Vlissingen Vlist Vlodrop Voerendaal Vogelenzang Vogelwaarde Volendam Volkel Vollenhove Voorhout Voorst Voorthuizen Vorden Vorstenbosch Vortum-Mullem Vragender Vreeland Vries Vriescheloo Vriezenveen Vriezenveen-Oost Vrijhoeve Vroomshoop Vroomshoop-Oost Vroondaal Vrouwenparochie Vrouwenpolder Vuren Waalre Waalwijk Waarde Waardenburg Waarder Waarland Waddinxveen Wadenoijen Wagenberg Wagenborgen Wageningen Wahlwiller Walik Wamel Wanneperveen Wanroij Wanssum Wanswerd Wapenveld Wapenveld-Noord Wapse Wapserveen-De Wiekslag Warffum Warfhuizen Warfstermolen Warmenhuizen Warns Warns-Zuid Warnsveld Warten Waskemeer Waspik Waspik-Zuid Wassenaar Wassenaar-Kerkehout Wassenaar-Rijksdorp Watergang Waterlandkerkje Waverveen Wedde Weebosch Weerselo Weert Weesp Wehe-Den Hoorn Wehl Weidum Weiteveen-Oost Weiteveen-West Wekerom Welberg Well Well-Noord Well-Zuid Wellerlooi Welsrijp Wemeldinge Wergea Werkendam Werkhoven Wernhout Wervershoof Wesepe Wessem West-Graftdijk West-Knollendam West-Terschelling Westbeemster Westbroek Westdorpe Westendorp Westenschouwen Westerbeek Westerbork Westerbroek Westeremden Westergeest Westerhaar-Vriezenveensewijk Westerhoven Westerland Westerlee Westervoort Westkapelle Westmaas Westwoud Westwoud-Oost Westzaan Westzaan-Zuideinde Weteringbrug Weustenrade Wezep Wichmond Wierden Wierden-Meijerinksberg Wieringerwaard Wieringerwerf Wierum Wieuwerd Wijbosch Wijchen Wijckel Wijdenes Wijhe Wijk aan Zee Wijk bij Duurstede Wijk en Aalburg Wijlre Wijnaldum Wijnandsrade Wijngaarden Wijnjewoude Wijster Wijtgaard Wijthmen Wilbertoord Wildervank Wilhelminadorp Wilhelminaoord Willemsoord Willemstad Wilnis Wilp Wilp-Achterhoek Wilsum Windesheim Winkel Winschoten Winssen Winsum Winsum Wintelre Winterswijk Wirdum Wirdum Wissel Wissenkerke Witmarsum Witteveen Woensdrecht Woerden Woerdense Verlaat Wognum Wolbert Woldendorp Wolfheze Wolfshoek Wolphaartsdijk Woltersum Wolvega Wommels Wons Woonoord Lunetten Workum Woubrugge Woudenberg Woudrichem Woudsend Wouw Wouwse Plantage Yde Yerseke Ysbrechtum Ysselstein Zaamslag Zalk Zaltbommel Zandeweer Zandpol Zandvoort Zeddam Zeegse Zeeland Zeerijp Zeewolde Zegge Zegveld Zeist Zelhem Zenderen Zetten Zevenaar Zevenbergen Zevenbergschen Hoek Zevenhoven Zevenhuizen Zevenhuizen Zevenmorgen Zeyen Zierikzee Zieuwent Zijderveld Zijtaart Zoelen Zoelmond Zoetermeer Zoeterwoude-Dorp Zoeterwoude-Zuidbuurt Zonnehof Zonnemaire Zorgvlied Zoutelande Zoutkamp Zuid-Beijerland Zuidbroek Zuiddorpe Zuidhorn Zuidland Zuidlaren Zuidschermer Zuidwolde Zuidwolde Zuidzande Zuidzijde Zuilichem Zuilichem-Oost Zunderdorp Zundert Zurich Zutphen Zwaagdijk-Oost Zwaagdijk-West Zwaagwesteinde Zwaanshoek Zwaantje Zwammerdam Zwanenburg Zwartebroek Zwartemeer Zwartewaal Zwartsluis Zweeloo Zwolle Zwolle-Stadshage ffaker-2.8.1/lib/ffaker/data/lorem_ua/0000755000004100000410000000000013233715167017540 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/lorem_ua/chars0000644000004100000410000000014313233715167020561 0ustar www-datawww-dataа б в г ґ д е є ж з и і ї й к л м н о п р с т у ф х ц ч ш щ ь ю я ffaker-2.8.1/lib/ffaker/data/lorem_ua/words0000644000004100000410000000774613233715167020637 0ustar www-datawww-dataСивоок сам доглядав як варилася смальта для великих мозаїк які мав викладати добирав належних кольорів чаклував над красками варив проварював розтирав для золотої смальти снісарі виковували тонюсінькі листочки золота потім воно закладалося поміж двох платівок скла навічно заварювалося іноді коли треба було тоншої смальти золотий листочок просто прилютовувався до споду скляного кубика щоб урозмаїтити відтіння золотої смальти Сивоок стосував не саме тільки золото а й електрон або ж біле золото тобто сплав золота з сріблом іноді бралися навіть листочки міді яка давала спокійніше сяйво смальту варили довго багато людей перепробував Сивоок на тому ділі йшли до нього охочі босі без шапок бідні обідрані несміливі він учив їх працював разом з ними жив з ними в нужді й клопотах розповідали вони йому про нужду ще більшу про те як було голодно колись а ще голодніше стало нині бо все поглинає церква люди кинули поля й борті пішли на будування а тим часом їхні хижі десь валяться заростають бур’яном поля і що то буде що ж то буде навіть у часи ліпші хліб вживано не щодень а тепер тільки й бачили що ріденьку затірку та капусту та ріпу сіль була розкошами її не клали в страву а лизали грудку по обіді про м’ясо й не згадувано Сивоок ділив на всіх своїх помічників і ту належність що йому припадала від князя але розумів що нагодувавши десятьох однаково не нагодує тисяч повторювалося те саме що бачив багато літ у Візантії чим більше й розкішніше будовано тим біднішим і обдертішим ставав народ довколишній бо все мав винести на своїх плечах своєю працею своїми нестатками й обмеженнями заплатити за пиху і славу божу антропоси рятувалися від похмурих видінь і од відчаю в молитвах старіші з них не маючи більше сподівань приймали чернецький постриг ось уже й тут у києві заснували вони коло самої Софії на місці свого поселення монастир святого Георгія на честь князя Ярослава і Міщило втулився туди ігуменом але Сивоок зостався зі своїми людьми не міг він визнати цього жорстокого бога від якого ціле життя тільки страждав і поневірявся власне по загибелі Ісси втратив замилування до щонайдрібніших радощів і вдоволень жив тепер тільки великим ділом свого життя жив у барвах у їхньому світінні у їхньому співі ffaker-2.8.1/lib/ffaker/data/lorem_ua/capital_chars0000644000004100000410000000014313233715167022256 0ustar www-datawww-dataА Б В Г Ґ Д Е Є Ж З И І Ї Й К Л М Н О П Р С Т У Ф Х Ц Ч Ш Щ ь Ю Я ffaker-2.8.1/lib/ffaker/data/hipster_ipsum/0000755000004100000410000000000013233715167020630 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/hipster_ipsum/hipster_words0000644000004100000410000000163413233715167023453 0ustar www-datawww-dataetsy twee hoodie Banksy retro synth single-origin coffee art party cliche artisan Williamsburg squid helvetica keytar American Apparel craft beer food truck you probably haven't heard of them cardigan aesthetic raw denim sartorial gentrify lomo vice Pitchfork Austin sustainable salvia organic thundercats PBR iPhone lo-fi skateboard jean shorts next level beard tattooed trust fund Four Loko master cleanse ethical high life wolf moon fanny pack Rerry Richardson 8-bit Carles Shoreditch seitan freegan keffiyeh biodiesel quinoa farm-to-table fixie viral chambray scenester leggings readymade Brooklyn Wayfarers Marfa put a bird on it dreamcatcher photo booth tofu mlkshk vegan vinyl DIY banh mi bicycle rights before they sold out gluten-free yr butcher blog whatever +1 Cosby Sweater VHS messenger bag cred locavore mustache tumblr Portland mixtape fap letterpress McSweeney's stumptown brunch Wes Anderson irony echo parkffaker-2.8.1/lib/ffaker/data/address_ca/0000755000004100000410000000000013233715167020025 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_ca/province0000644000004100000410000000025213233715167021574 0ustar www-datawww-dataNewfoundland and Labrador Nova Scotia Prince Edward Island New Brunswick Quebec Ontario Manitoba Saskatchewan Alberta British Columbia Yukon Northwest Territories Nunavutffaker-2.8.1/lib/ffaker/data/address_ca/city0000644000004100000410000000424413233715167020724 0ustar www-datawww-dataToronto Montreal Calgary Ottawa Edmonton Mississauga Winnipeg Vancouver Brampton Hamilton Quebec City Surrey Laval Halifax London Markham Vaughan Gatineau Longueuil Burnaby Saskatoon Kitchener Windsor Regina Richmond Richmond Hill Oakville Burlington Greater Sudbury Sherbrooke Oshawa Saguenay Barrie Abbotsford St. Catharines Trois-Rivières Cambridge Coquitlam Kingston Whitby Guelph Kelowna Saanich Ajax Thunder Bay Terrebonne St. John's Langley Chatham-Kent Delta Waterloo Cape Breton Brantford Strathcona County Saint-Jean-sur-Richelieu Red Deer Pickering Kamloops Clarington North Vancouver Milton Nanaimo Lethbridge Niagara Falls Repentigny Victoria Newmarket Brossard Peterborough Chilliwack Maple Ridge Sault Ste. Marie Kawartha Lakes Sarnia Prince George Drummondville Saint John Moncton Saint-Jérôme New Westminster Wood Buffalo Granby Norfolk County St. Albert Medicine Hat Caledon Halton Hills Port Coquitlam Fredericton Grande Prairie North Bay Blainville Saint-Hyacinthe Aurora Welland Shawinigan Dollard-des-Ormeaux Belleville North Vancouver La Tuque Toronto Senneterre Rouyn-Noranda Halifax Regional Municipality Val-d'Or Greater Sudbury Kawartha Lakes Timmins Cape Breton Regional Municipality Queens Gillam Sept-Îles Norfolk County Leaf Rapids Haldimand County Snow Lake Gaspé Port-Cartier Prince Edward County Lynn Lake County of Brant Témiscaming Huntsville Chibougamau Elliot Lake Caledon Saint-Raymond Laurentian Hills Bracebridge Iroquois Falls Mont-Laurier Dégelis Belleterre Baie-Saint-Paul Cochrane South Bruce Peninsula Lakeshore Kearney Blind River Gravenhurst Mississippi Mills Northeastern Manitoulin and the Islands Quinte West Mirabel Fermont Greater Napanee La Malbaie Rivière-Rouge Québec City Lévis St. John's Bécancour Percé Amos Chandler Whitehorse Gracefield Baie Verte Milton Saint-Félicien Pohénégamook Baie-Comeau Thunder Bay Plympton–Wyoming Prince George Saint John North Bay Happy Valley-Goose Bay Minto Erin Clarence-Rockland Cookshire-Eaton Dolbeau-Mistassini Trois-Rivières Georgina The Blue Mountains Innisfil Essex Mono Halton Hills New Tecumsethffaker-2.8.1/lib/ffaker/data/address_gr/0000755000004100000410000000000013233715167020052 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_gr/city0000644000004100000410000000230513233715167020745 0ustar www-datawww-dataΆγιος Νικόλαος Άργος Άρτα Άρτεμη (Λούτσα) Αίγι Αγρίνιο Αθήνα Αλεξάνδρεια Αλεξανδρούπολη Αμαλιάδα Βάρη Βέροια Βόλος Γάζι Γέρακας Γιαννιτσά Γλυκά Νερά Γρεβενά Δράμα Έδεσσα Ελευσίνα Ερμούπολη Ηράκλειο Θέρμη Θήβα Θεσσαλονίκη Ιαλυσός Ιεράπετρα Ιωάννινα Κάλυμνος Κέρκυρα Καβάλα Καλαμάτα Καλύβια Θορικού Καρδίτσα Καστοριά Κατερίνη Κιλκίς Κοζάνη Κομοτηνή Κορωπί Κως Κόρινθος Λάρισα Λαμία Λιβαδειά Λουτράκι Μάνδρα Μέγαρα Μεσολόγγι Μυτιλήνη Νάουσα Νέα Μάκρη Ναύπακτος Ναύπλιο Ξάνθη Ορεστιάδα Πάτρα Παιανία Παλλήνη Πειραιάς Περαία Πρέβεζα Πτολεμαΐδα Πύργος Ρέθυμνο Ραφήνα Ρόδος Σέρρες Σαλαμίνα Σπάρτη Τρίκαλα Τρίπολη Τύρναβος Φλώρινα Χίος Χαλκίδα Χανιά Ωραιόκαστροffaker-2.8.1/lib/ffaker/data/address_gr/street0000644000004100000410000000447313233715167021313 0ustar www-datawww-dataΆβαντος Αβδήρων Αγίας Γλυκερίας Αγίου Δημητρίου Αγίων Αναργύρων Αγριανών Αγχιάλου Αδριανουπόλεως Αδριανουπόλεως Αζαλέων Αθηνάς Αθύρων Αίνου Αισχύλου Ακρίτα Τάκη Αλαμάνας Αλέας Αθηνάς Αλεξανδρείας Αλκιβιάδου Αλτιναλμάζη Κωνσταντίνου Αμαζόνων Αμισού Αμμοχώστου Αμφιπόλεως Ανακούς Ανατολικής Θράκης Ανδρονίκου Ανδρονίκου Άνδρου Ανδρούτσου Οδυσσέα Ανθεμίου Βάρναλη Κώστα Βασιλείου Βουλγαροκτόνου Βελισαρίου Βελισαρίου Βενιζέλου Ελευθερίου Βενιζέλου Ελευθερίου Βιζβιζή Δόμνας Γαβριηλίδη Κωνσταντίνου Γεωργιάδη Θεόφιλου Γιαννούτσου Χρήστου Δελφών Δήμητρος Δημοκρατίας Λεωφ. Διγενή Ακρίτα Δικαστηρίων Διογένους Δύμης Δωδεκανήσου Έβρου Εθνικής Αντιστάσεως Ειρήνης Ελλησπόντου Ευκαρπίας Ζαρίφη Γεωργίου Ήρας Ηροδότου Ηφαίστου Θάσου Θερμοπυλών Θουκυδίδου Θράκης Ικονίου Ινεπόλεως Ιωνίας Καβάφη Κωνσταντίνου Καζαντζάκη Νίκου Καλύμνου Καππαδοκίας Καρπασίας Κασσάνδρου Κεσσάνης Κίρκης Κονδύλη Γεωργίου Κότυος Κυρηνείας Κωνσταντινουπόλεως Λευκωσίας Λόρδου Βύρωνος Μελά Παύλου Μομφερράτου Ιωσήφ Μυστρά Ορεστιάδος Παναγάθου Παπαδιαμάντη Αλεξάνδρου Παπαφλέσσα Πάροδος Δωδεκανήσου Πάροδος Ηροδότου Πάροδος Κυψελών Πάροδος Σαρανταπόρου Πάροδος Χαλκηδόνος Πατριάρχου Γρηγορίου Πατριάρχου Κυρίλλου Πέλλης Πόντου Σάμου Σεφέρη Γιώργου Σνωκ Κωνσταντίνου Τήνου Φωκά Νικηφόρουffaker-2.8.1/lib/ffaker/data/address_gr/region0000644000004100000410000000051213233715167021256 0ustar www-datawww-dataΑνατολική Μακεδονία και Θράκη Κεντρική Μακεδονία Δυτική Μακεδονία Ήπειρος Θεσσαλία Ιόνιοι Νήσοι Δυτική Ελλάδα Στερεά Ελλάδα Αττική Πελοπόννησος Βόρειο Αιγαίο Νότιο Αιγαίο Κρήτηffaker-2.8.1/lib/ffaker/data/movie/0000755000004100000410000000000013233715167017054 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/movie/prefixes0000644000004100000410000000031513233715167020623 0ustar www-datawww-dataTime of the Season of the Return of the I am Planet of the War of the Invasion of the I Married a Legend of Codename: Case of the Missing Day of the Curse of the Rise of the The A Fistful of Journey of theffaker-2.8.1/lib/ffaker/data/movie/nouns0000644000004100000410000000034613233715167020144 0ustar www-datawww-dataWolf Wolves Cousins Jungle Witch Woman Women Man Men Identity Ninja Ninjas Pickpocket Hills Clash Wizard World Brain Brains Fly Mutant Blow Diaries Gypsy Diaries Dreams Tears City Cat Tentacle Friday Rain Thief Beast Demon Monsterffaker-2.8.1/lib/ffaker/data/movie/adj_and_adv0000644000004100000410000000021613233715167021210 0ustar www-datawww-dataAction Hungry Ultra Dangerous Danger Tokyo Red Blue Green Killer Electric Blonde Flying Forbidden Nuclear Fake American Death Champagne Bloodyffaker-2.8.1/lib/ffaker/data/address_in/0000755000004100000410000000000013233715167020050 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_in/union_territory0000644000004100000410000000015213233715167023244 0ustar www-datawww-dataAndaman and Nicobar Islands Chandigarh Dadra and Nagar Haveli Daman and Diu Delhi Lakshadweep Pondicherry ffaker-2.8.1/lib/ffaker/data/address_in/state_abbr0000644000004100000410000000012713233715167022101 0ustar www-datawww-dataAP AR AS BR CT GA GJ HR HP JK JH KA KL MP MH MN ML MZ NL OR PB RJ SK TN TG TR UP UK WB ffaker-2.8.1/lib/ffaker/data/address_in/state0000644000004100000410000000045413233715167021116 0ustar www-datawww-dataAndhra Pradesh Arunachal Pradesh Assam Bihar Chhattisgarh Goa Gujarat Haryana Himachal Pradesh Jammu and Kashmir Jharkhand Karnataka Kerala Madhya Pradesh Maharashtra Manipur Meghalaya Mizoram Nagaland Orissa Punjab Rajasthan Sikkim Tamil Nadu Telangana Tripura Uttar Pradesh Uttarakhand West Bengal ffaker-2.8.1/lib/ffaker/data/address_in/union_territory_abbr0000644000004100000410000000002513233715167024231 0ustar www-datawww-dataAN CH DN DD DL LK PY ffaker-2.8.1/lib/ffaker/data/name_nb/0000755000004100000410000000000013233715167017334 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/name_nb/last_names0000644000004100000410000000143013233715167021403 0ustar www-datawww-dataJohansen Hansen Andersen Kristiansen Larsen Olsen Solberg Andresen Pedersen Nilsen Berg Halvorsen Karlsen Svendsen Jensen Haugen Martinsen Eriksen Sørensen Johnsen Myhrer Johannessen Nielsen Hagen Pettersen Bakke Skuterud Løken Gundersen Strand Jørgensen Kvarme Røed Sæther Stensrud Moe Kristoffersen Jakobsen Holm Aas Lie Moen Andreassen Vedvik Nguyen Jacobsen Torgersen Ruud Krogh Christiansen Bjerke Aalerud Borge Sørlie Berge Østli Ødegård Torp Henriksen Haukelidsæter Fjeld Danielsen Aasen Fredriksen Dahl Berntsen Arnesen Wold Thoresen Solheim Skoglund Bakken Amundsen Solli Smogeli Kristensen Glosli Fossum Evensen Eide Carlsen Østby Vegge Tangen Smedsrud Olstad Lunde Kleven Huseby Bjørnstad Ryan Rasmussen Nygård Nordskaug Nordby Mathisen Hopland Gran Finstad Edvardsen ffaker-2.8.1/lib/ffaker/data/name_nb/first_names_female0000644000004100000410000000047413233715167023107 0ustar www-datawww-dataEmma Sara Thea Ida Julie Nora Emilie Ingrid Hanna Maria Sofie Anna Malin Amalie Vilde Frida Andrea Tuva Victoria Mia Karoline Mathilde Martine Linnea Marte Hedda Marie Helene Silje Leah Maja Elise Oda Kristine Aurora Kaja Camilla Mari Maren Mina Selma Jenny Celine Eline Sunniva Natalie Tiril Synne Sandra Madeleine ffaker-2.8.1/lib/ffaker/data/name_nb/first_names_male0000644000004100000410000000053513233715167022572 0ustar www-datawww-dataMarkus Mathias Kristian Jonas Andreas Alexander Martin Sander Daniel Magnus Henrik Tobias Kristoffer Emil Adrian Sebastian Marius Elias Fredrik Thomas Sondre Benjamin Jakob Oliver Lucas Oskar Nikolai Filip Mats William Erik Simen Ole Eirik Isak Kasper Noah Lars Joakim Johannes Håkon Sindre Jørgen Herman Anders Jonathan Even Theodor Mikkel Aksel ffaker-2.8.1/lib/ffaker/data/name_da/0000755000004100000410000000000013233715167017321 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/name_da/last_names0000644000004100000410000000274413233715167021401 0ustar www-datawww-dataAagaard Aagrd Ahmed Ali Andersen Andersson Andreasen Andreassen Andresen Asmussen Bach Bak Bang Bech Beck Bendtsen Berg Bertelsen Berthelsen Bisgaard Bisgrd Bjerre Bjerregaard Bjerregrd Bonde Brandt Brodersen Bruun Buch Bundgaard Bundgrd Carlsen Carstensen Christensen Christiansen Christoffersen Clausen Dahl Dalgaard Dalgrd Dalsgaard Dalsgrd Dam Damgaard Damgrd Danielsen Davidsen Enevoldsen Eriksen Eskildsen Fischer Frandsen Frederiksen Friis Frost Gaard Gade Grd Gregersen Hald Hansen Hedegaard Hedegrd Hemmingsen Henningsen Henriksen Hermansen Hjorth Hoffmann Holm Holst Hougaard Hougrd Ibsen Iversen Jacobsen Jakobsen Jensen Jeppesen Jepsen Jespersen Jessen Jnsson Johannesen Johannsen Johansen Johansson Johnsen Jrgensen Juhl Justesen Juul Karlsen Kirkegaard Kjeldsen Kjr Kjrgaard Kjrgrd Klausen Knudsen Koch Kofoed Kragh Kristensen Kristiansen Kristoffersen Krog Krogh Kruse Lange Larsen Lassen Lauridsen Lauritsen Lauritzen Laursen Laustsen Leth Lind Lorentzen Lorenzen Lund Madsen Markussen Mathiasen Mathiesen Meyer Michelsen Mikkelsen Mlgaard Mlgrd Mller Mller Mogensen Mortensen Munk Nguyen Nielsen Nikolajsen Nilsson Nissen Nrgaard Nrgrd Nygaard Nygrd Olesen Olsen Olsson Overgaard Overgrd Paulsen Pedersen Persson Petersen Poulsen Rasmussen Ravn Riis Schmidt Schou Schrder Schultz Sgaard Sgrd Simonsen Skov Sloth Sndergaard Sndergrd Sommer Srensen Steffensen Stergaard Stergrd Svendsen Svensson Thgersen Thomassen Thomsen Thorsen Thygesen Toft Vestergaard Vestergrd Villadsen Vinther Winther ffaker-2.8.1/lib/ffaker/data/name_da/female_first_names0000644000004100000410000000375613233715167023102 0ustar www-datawww-dataAase Agnes Agnete Agnethe Alberte Alexandra Alfrida Alice Alma Amalie Amanda Andrea Ane Anette Anine Anita Anja Ann Anna Annalise Anne Anne-Lise Anne-Marie Anne-Mette Annelise Annette Anni Annie Annika Anny Asta Astrid Augusta Benedikte Bente Berit Bertha Betina Bettina Betty Birgit Birgitte Birte Birthe Bodil Britt Britta Camilla Carina Carla Caroline Cathrine Cecilie Charlotte Christa Christiane Christina Christine Clara Connie Conny Dagmar Dagny Diana Ditte Dora Doris Dorte Dorthe Dorthea Ebba Edel Edith Eleonora Elin Eline Elisa Elisabeth Elise Ella Ellen Ellinor Elly Elna Elsa Else Elsebeth Elvira Emilie Emma Emmy Erna Ester Esther Eva Frederikke Freja Frida Gerda Gertrud Gitte Grete Grethe Gudrun Gunhild Gurli Hanna Hanne Hansine Harriet Hedvig Heidi Helen Helena Helene Helga Helle Henny Henriette Herdis Hilda Iben Ida Ilse Ina Inga Inge Inge-Lise Ingeborg Ingelise Inger Ingrid Irene Iris Irma Isabella Jane Janne Janni Jannie Jeanette Jenny Jensine Jette Joan Johanne Jonna Josefine Josephine Juliane Julie Jytte Jørgine Kaja Kamilla Kamma Karen Karin Karina Karla Karoline Kate Kathrine Katja Katrine Ketty Kirsten Kirstine Klara Krista Kristiane Kristina Kristine Laila Laura Laurine Lea Lena Lene Lilian Lilli Lillian Lilly Linda Line Lis Lisa Lisbet Lisbeth Lise Liselotte Lissi Liv Lizzie Lone Lotte Louise Lydia Lykke Lærke Magda Magdalene Mai Maiken Maja Majbritt Malene Maren Margit Margrete Margrethe Maria Mariane Marianne Marie Marlene Martha Martine Mary Mathilde Merete Meta Metha Mette Mia Michelle Mie Mille Minna Mona Nadia Nancy Nanna Nicoline Nielsine Nikoline Nina Ninna Oda Olga Oline Olivia Paula Pernille Petra Petrea Petrine Pia Poula Pouline Ragnhild Randi Rasmine Rebecca Rigmor Rikke Rita Rosa Rose Ruth Sabrina Sandra Sanne Sara Sarah Signe Sigrid Simone Sine Sofia Sofie Solveig Solvejg Sonja Sophie Stine Susan Susanne Sørine Tanja Thea Theodora Therese Thi Thora Thyra Tina Tine Tove Trine Ulla Valborg Vera Vibeke Victoria Vilhelmine Viola Vita Vivi Vivian Winnie Yrsa Yvonne ffaker-2.8.1/lib/ffaker/data/name_da/male_first_names0000644000004100000410000000364213233715167022561 0ustar www-datawww-dataAage Adam Adolf Ahmad Ahmed Aksel Albert Alex Alexander Alf Alfred Ali Allan Anders Andreas André Anker Anton Arne Arnold Arthur Asbjørn Asger August Axel Bendt Benjamin Benny Bent Bernhard Birger Birk Bjarke Bjarne Bjørn Bo Boye Brian Bruno Børge Carl Carlo Carsten Casper Charles Chr Chris Christen Christian Christoffer Christopher Claus Dan Daniel Danny David Dennis Ditlev Ebbe Edmund Edvard Edvin Egon Eigil Einar Ejgil Ejler Ejnar Ejner Ejvind Eli Elias Emanuel Emil Erik Erland Erling Ernst Esben Evald Ferdinand Finn Flemming Folmer Frank Freddy Frede Frederik Frits Fritz Frode Georg Gerhard Gert Gregers Gunnar Gunner Gustav Hans Harald Hardy Harry Hartvig Hassan Heine Heinrich Helge Helmer Helmuth Henning Henrik Henry Herluf Herman Hermann Hjalmar Holger Hugo Ib Ibrahim Ingemann Ingolf Ingvard Ivan Ivar Iver Jack Jacob Jakob Jan Jannik Jens Jeppe Jes Jesper Jimmi Jimmy Joachim Johan Johannes John Johnny Jon Jonas Jonathan Josef Juel Julius Jørgen Jørn Kai Kaj Karl Karlo Karsten Kasper Keld Kenneth Kent Kevin Kim Kjeld Klaus Knud Kresten Kristen Kristian Kristoffer Kurt Lars Lasse Laurids Laurits Lauritz Leif Lennart Leo Leon Louis Lucas Ludvig Lukas Lykke Lynge Mads Magnus Malthe Marc Marcus Marinus Marius Mark Markus Martin Martinus Mathias Max Michael Mikael Mike Mikkel Mogens Mohamad Mohamed Mohammad Morten Nick Nicklas Nicolai Nicolaj Niels Niklas Nikolai Nikolaj Nils Nis Olaf Olav Ole Oliver Oluf Orla Oscar Oskar Osvald Otto Ove Palle Patrick Paul Peder Peer Per Peter Philip Poul Povl Preben Rasmus Rene René Richard Richardt Robert Roland Rolf Ronni Rudolf Rune Samuel Sander Sebastian Severin Sigfred Sigurd Sigvald Simon Sofus Steen Stefan Steffen Sten Stig Sune Sven Svend Søren Tage Theis Theodor Thomas Thor Thorkild Thorvald Tim Tobias Tom Tommy Tonny Torben Troels Uffe Ulrich Ulrik Vagn Vagner Valdemar Valentin Verner Victor Viggo Viktor Vilhelm Villiam Villy Walther Werner Wilhelm William Willy Åge ffaker-2.8.1/lib/ffaker/data/conference/0000755000004100000410000000000013233715167020044 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/conference/conference_list0000644000004100000410000000351313233715167023133 0ustar www-datawww-dataSocial Mobile Payments Americas LatAm HSE in Oil, Gas and Petrochemicals LatAm Pipeline Integrity Management Summit 1st UK Festival de Orquestas Argentina Mining 2010 Yet Another Perl ConferenceBrasil 2009 Datacentre Investment Forum Health 2.0 Europe 2012 4th Annual Baltic Energy Summit Innovative Marketing in Hospitality Autumn Conference on European State Aid Law 2012 Met Coke World Summit 2012 Platts 16th annual Mexican Energy conference Advanced Manufacturing Technology Show 18th Annual Sloan Consortium International Conference on Online Learning Reserve Estimation for Unconventional Resources 2012 An Introduction to FDAas Regulation of 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2010)ffaker-2.8.1/lib/ffaker/data/job_kr/0000755000004100000410000000000013233715167017203 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/job_kr/job_nouns0000644000004100000410000007175713233715167021143 0ustar www-datawww-data국회의원 지방의회의원 및 교육위원 중앙정부 고위공무원 지방정부 고위공무원 공공기관 임원 정당 및 특수단체 임원 기업 대표이사 기업 고위임원 정부행정 관리자 총무 및 인사 관리자 기획․홍보 및 광고 관리자 재무 관리자 자재 및 구매 관리자 경영지원 관리자 행정 및 경영지원 관리자 인문과학 연구 관리자 사회과학 연구 관리자 생명 및 자연 과학 연구 관리자 공학 연구 관리자 연구 관리자 대학교 총장 및 대학 학장 중․고등학교 교장 및 교감 초등학교 교장 및 교감 유치원 원장 교육관련 관리자 법률 관리자 경찰 관리자 소방 관리자 교도 관리자 보험 관리자 금융 관리자 보건의료관련 관리자 사회복지관련 관리자 문화 및 예술 관련 관리자 디자인관련 관리자 영상관련 관리자 컴퓨터 하드웨어개발 관리자 컴퓨터 소프트웨어개발 관리자 컴퓨터 운영 관리자 통신 관리자 정보통신관련 관리자 시장 및 여론 조사 관리자 부동산 및 임대업 관리자 인력공급 및 알선 서비스 관리자 전문서비스 관리자 건설관련 관리자 광업관련 관리자 전기관련 관리자 가스관련 관리자 수도관련 관리자 증기 및 온수 관련 관리자 식품생산 관리자 섬유 및 의복 제품생산 관리자 화학제품생산 관리자 금속제품생산 관리자 기계제품생산 관리자 전기․전자 제품생산 관리자 제품생산관련 관리자 농림어업관련 관리자 수리 및 정비 관련 관리자 건설․전기 및 생산 관련 관리자 영업관련 관리자 판매관련 관리자 무역관련 관리자 육상운송 관리자 해상운송 관리자 항공운송관련 관리자 숙박관련 관리자 여행관련 관리자 오락 및 스포츠 관련 관리자 숙박․여행․오락 및 스포츠 관련 관리자 음식서비스관련 관리자 환경관련 관리자 청소관련 관리자 경비관련 관리자 회원단체관련 관리자 판매 및 고객 서비스 관리자 생물학 연구원 의학 연구원 약학 연구원 농학 연구원 임학 연구원 수산학 연구원 식품학 연구원 축산 및 수의학 연구원 생명과학 연구원 물리학 연구원 화학 연구원 천문 및 기상학 연구원 수학 및 통계학 연구원 환경 및 해양과학 연구원 자연과학 연구원 철학 연구원 역사학 연구원 언어학 및 문학 연구원 인류학 연구원 교육학 연구원 심리학 연구원 인문과학 연구원 정치학 연구원 경제학 연구원 경영학 연구원 사회학 연구원 사회복지학 연구원 언론학 연구원 사회과학 연구원 생물학 시험원 의료과학 시험원 생명과학 시험원 농업 시험원 임업 시험원 어업 시험원 물리학 시험원 화학 시험원 천문 및 기상학 시험원 환경 및 해양과학 시험원 자연과학 시험원 컴퓨터 하드웨어 기술자 및 연구원 통신기기 기술자 및 연구원 통신장비 기술자 및 연구원 통신기술 기술자 및 연구원 통신망운영 기술자 및 연구원 통신공학 기술자 및 연구원 정보통신 컨설턴트 컴퓨터시스템 감리 전문가 컴퓨터시스템 설계․분석가 시스템 소프트웨어 설계․분석가 시스템 소프트웨어 프로그래머 응용 소프트웨어 설계․분석가 게임 프로그래머 네트워크 프로그래머 응용소프트웨어 프로그래머 데이터베이스 설계․분석가 데이터베이스 프로그래머 데이터베이스 관리자 네트워크시스템 개발자 컴퓨터 보안 전문가 웹기획자 멀티미디어 기획자 웹마스터 웹엔지니어 및 웹프로그래머 정보 시스템 운영자 통신장비 기사 방송송출장비 기사 건축가 건축감리 기술자 건축구조설계 기술자 건축시공 기술자 건축설비 기술자 건축안전환경 기술자 건축관련 기술자 토목구조설계 기술자 토목시공 기술자 토목안전환경 기술자 토목감리 기술자 토목관련기술자 조경 기술자 도시계획 및 설계가 교통계획 및 설계가 교통안전 연구원 교통영향 평가원 측량 및 지리정보 기술자 사진측량 및 분석가 지도제작 기술자 지리정보시스템 전문가 건설자재 시험원 석유화학 기술자 및 연구원 고무 및 플라스틱 기술자 및 연구원 농약 및 비료 기술자 및 연구원 도료제품 기술자 및 연구원 화장품 및 비누제품 기술자 및 연구원 화학공학 기술자 및 연구원 석유화학 시험원 고무 및 플라스틱 시험원 농약 및 비료 시험원 도료제품 시험원 화장품 및 비누제품 시험원 화학공학 시험원 금속공학 기술자 및 연구원 요업․세라믹 공학 기술자 및 연구원 시멘트공학 기술자 및 연구원 금속․재료공학 기술자 및 연구원 금속공학 시험원 요업․세라믹 공학 시험원 시멘트공학 시험원 금속․재료공학 시험원 대기환경 기술자 및 연구원 수질환경 기술자 및 연구원 토양환경 기술자 및 연구원 소음진동 기술자 및 연구원 폐기물처리 기술자 및 연구원 환경영향 평가원 환경공학 기술자 및 연구원 대기환경 시험원 수질환경 시험원 토양환경 시험원 소음진동 시험원 폐기물처리 시험원 환경영향 시험원 환경공학관련 시험원 전기제품개발 기술자 및 연구원 발전설비 기술자 및 연구원 송․배전설비 기술자 및 연구원 전기계측제어 기술자 및 연구원 전기감리 기술자 및 연구원 전기안전 기술자 및 연구원 전기공학 기술자 및 연구원 전자제품개발 기술자 및 연구원 반도체공학 기술자 및 연구원 전자계측제어 기술자 및 연구원 전자의료기기개발 기술자 및 연구원 전자공학 기술자 및 연구원 금형공학 기술자 및 연구원 플랜트공학 기술자 및 연구원 냉․난방 및 공조 공학 기술자 및 연구원 건설기계공학 기술자 및 연구원 산업기계공학 기술자 및 연구원 자동차공학 기술자 및 연구원 조선공학 기술자 및 연구원 비행기․철도차량 공학 기술자 및 연구원 로봇 및 기계공학 기술자 및 연구원 전기공학 시험원 전자공학 시험원 기계공학 시험원 산업 안전원 위험 관리원 산업안전 및 위험 관리원 보건위생 검사원 환경 검사원 비파괴 검사원 비행기 조종사 헬리콥터 조종사 선장 항해사 선박 기관사 도선사 항공교통 관제사 선박교통 관제사 철도교통 관제사 식품공학 기술자 및 연구원 섬유소재개발 기술자 및 연구원 섬유공정개발 기술자 및 연구원 염색개발공학 기술자 및 연구원 가스․에너지 기술자 및 연구원 소방설계 기술자 및 연구원 소방시설 공사 기술자 및 연구원 소방공사 감리 기술자 및 연구원 소방공학 기술자 및 연구원 식품공학 시험원 섬유공학 시험원 가스 및 에너지 시험원 건축 캐드원 토목 캐드원 기계 캐드원 전기․전자장비 캐드원 캐드원 소방공학 시험원 공학관련 기술자 및 시험원 내과 전문 의사 외과 전문 의사 소아과 전문 의사 산부인과 전문 의사 정신과 및 신경과 전문 의사 안과 및 이비인후과 전문 의사 피부과 및 비뇨기과 전문 의사 방사선과 및 병리과 전문 의사 전문 의사 일반 의사 한의사 치과 전문 의사 치과 일반 의사 수의사 약사 한약사 전문 간호사 일반 간호사 보건 교사 조산사 영양사 영양 교사 임상병리사 방사선사 치과기공사 치과위생사 의지보조기기사 물리치료사 작업치료사 정신보건 임상심리사 전통의료 치료사 언어치료사 음악 및 미술 치료사 치료사 119구조 대원 구급요원 위생사 안경사 의무기록사 간호조무사 안마사 사회복지사 보육 교사 헤드헌터 직업상담사 취업알선원 상담 전문가 청소년 지도사 시민 단체 활동가 복지시설 생활지도원 사회복지관련 종사원 목사 신부 승려 교무 성직자 수녀 및 수사 전도사 종교관련 종사자 인문계열 교수 사회계열 교수 자연계열 교수 공학계열 교수 의약계열 교수 교육계열 교수 예․체능계열 교수 인문계열 시간강사 사회계열 시간강사 자연계열 시간강사 공학계열 시간강사 의약계열 시간강사 교육계열 시간강사 예․체능계열 시간강사 국어 교사 수학 교사 사회 교사 과학 교사 예․체능 교사 실업 교사 외국어 교사 중․고등학교 교사 초등학교 교사 시각장애 교사 청각장애 교사 특수교육 교사 유치원 교사 국어 강사 수학 강사 사회 강사 과학 강사 외국어 강사 문리 및 어학 강사 컴퓨터 강사 디자인 강사 이미용 강사 자동차운전 강사 요리 강사 기술 및 기능계 강사 음악 강사 미술 강사 무용 강사 예능 강사 학습지 교사 방문교사 교육연수기관 강사 기업체 직무훈련 강사 문리․기술 및 예능 강사 장학관 및 장학사 교육 연구관 및 교육 연구사 교육 전문가 대학 교육조교 보조 교사 교사 판사 검사 변호사 법무사 집행관 변리사 정부정책 행정 전문가 공공행정 전문가 노무사 인사 컨설턴트 인사 및 노사 관련 전문가 회계사 세무사 관세사 경영 컨설턴트 기업 인수․합병 전문가 품질인증 심사 전문가 경영 및 진단 전문가 투자 및 증권 분석가 신용 분석가 금융 자산 운용가 자산 운용가 보험상품 개발자 금융상품 개발자 증권 중개인 선물거래 중개인 외환 딜러 손해사정인 투자인수 심사원 보험인수 심사원 투자신탁 관리인 금융 및 보험 관련 전문가 상품 기획자 마케팅 전문가 여행상품 개발자 광고 전문가 홍보 전문가 조사 전문가 이벤트 전문가 행사 전시 기획자 국내 및 국제 회의 기획자 감정평가사 감정사 해외 영업원 자동차 부품 기술 영업원 전자․통신장비 기술 영업원 의료장비 기술 영업원 농업용 기계장비 기술 영업원 산업용 기계장비 기술 영업원 의약품 영업원 기술 영업원 농수산물 중개인 및 경매사 예술품 중개인 및 경매사 상품중개인 및 경매사 부동산 컨설턴트 부동산 중개인 기술영업 및 중개 관련 종사자 방송작가 작가 및 평론가 광고문 작성가 스크립터 작가 및 관련 전문가 번역가 통역가 기자 논설위원 칼럼니스트 출판물 기획자 출판물 편집자 큐레이터 문화재 보존원 사서 기록물관리사 감독 및 연출가 기술감독 감독 및 연출가 배우 개그맨 및 코미디언 모델 성우 배우 및 모델 아나운서 리포터 쇼핑호스트 비디오자키 디스크자키 아나운서 및 리포터 촬영기사 음향 및 녹음 기사 영상․녹화 및 편집 기사 조명기사 영사기사 무대의상 관리원 소품 관리원 방송․영화연출 보조원 보조 연기자 연극․영화 및 영상 관련 종사자 화가 조각가 서예가 사진작가 사진기자 사진가 만화가 만화영화 작가 국악인 국악 연주가 국악작곡 및 편곡가 전통 예능인 지휘자 작곡가 및 편곡가 연주가 가수 성악가 무용가 안무가 자동차 디자이너 가구 디자이너 제품 디자이너 직물 디자이너 의상 디자이너 액세서리 디자이너 가방 및 신발 디자이너 인테리어 디자이너 디스플레이어 무대 및 세트 디자이너 광고 디자이너 포장 디자이너 북 디자이너 삽화가 색채 전문가 활자 디자이너 시각 디자이너 웹 디자이너 멀티미디어 디자이너 게임그래픽 디자이너 경기감독 코치 직업 운동선수 경기심판 경기기록원 스포츠 강사 및 트레이너 레크레이션 기획가 및 강사 스포츠 및 레크레이션 강사 바둑기사 프로게이머 스포츠 및 레크레이션 관련 전문가 연예인 매니저 스포츠 매니저 마술사 문화․예술 관련 종사원 조세행정 사무원 관세행정 사무원 병무행정 사무원 국가행정 사무원 지방행정 사무원 공공행정 사무원 경영기획 사무원 영업관리 사무원 광고 및 홍보 사무원 분양 및 임대 사무원 판매 사무원 기획 및 마케팅 사무원 인사 및 노무 사무원 교육 및 훈련 사무원 자재관리 사무원 생산관리 사무원 품질관리 사무원 무역 사무원 도로운송 사무원 철도운송 사무원 수상운송 사무원 항공운송 사무원 총무 사무원 회계 사무원 경리 사무원 관리 비서 일반 비서 약국 전산 관리원 전산 자료 입력원 사무 보조원 출납창구 사무원 보험 심사원 보험 사무원 은행 사무원 금융 사무원 신용 추심원 법무 사무원 특허 사무원 법률관련 사무원 감사 사무원 통계 사무원 통계 및 설문 조사 사무원 통계관련 사무원 여행 사무원 예약 및 접수 사무원 데스크 안내원 화랑 및 박물관 안내원 시설 및 견학 안내원 방송 안내원 전화교환 및 전화번호 안내원 안내․접수 사무원 및 전화교환원 전화 상담원 방문고객 상담원 모니터 요원 출판 및 자료편집 사무원 속기사 사무원 해양 경찰관 일반 경찰관 소방관 소년보호관 교도관 경호원 청원 경찰 무인 경비원 보안 관제원 유통 및 매장 감시원 주차 단속원 경호 및 보안 관련 종사원 간병인 산후조리 종사원 치료사 보조원 수의사 보조원 복지시설 보조원 의료․복지 관련 서비스 종사원 이용사 미용사 피부관리사 체형관리사 발관리사 손톱관리사 목욕관리사 피부미용 및 체형 관련 종사원 메이크업 아티스트 특수 분장사 분장사 애완동물 미용사 패션코디네이터 이미지컨설턴트 미용관련 서비스 종사원 결혼상담원 웨딩플래너 혼례종사원 장례상담원 장례지도사 점술가 민속신앙 종사원 이미용․예식 및 의료보조 서비스 종사원 항공기 객실승무원 선박 객실승무원 열차 객실승무원 국내여행 안내원 국외여행 안내원 관광 통역 안내원 호텔 서비스원 숙박시설 서비스원 유원시설 및 테마파크 종사원 노래방 종사원 오락시설 종사원 카지노 딜러 골프장 캐디 응원단원 여가 및 스포츠 관련 종사원 한식 주방장 한식 조리사 중식 주방장 중식 조리사 양식 주방장 양식 조리사 일식 주방장 일식 조리사 분식 조리사 커피 조리사 전통차 조리사 주방장 및 조리사 바텐더 음식서비스 종사원 음료서비스 종사원 주류서비스 종사원 음식서비스 종사원 자동차 영업원 건축자재 영업원 인쇄 및 광고 영업원 식품 영업원 체인점 모집 및 관리 영업원 일반 영업원 보험 중개인 보험 설계사 간접 투자증권 판매인 의류 판매원 화장품 판매원 가전제품 판매원 가구 판매원 신발 및 액세서리 판매원 서적․문구 및 음반 판매원 원예 작물 판매원 농․수산물 판매원 상점 판매원 항공권 판매원 승차권 판매원 입장권 판매원 복권 및 마권 판매원 매표원 및 복권 판매원 매장 계산원 요금 정산원 자동차 대여원 도서 및 비디오 테이프 대여원 사무용품 대여원 생활용품 대여원 오락 및 스포츠용품 대여원 상품 대여원 방문 판매원 통신서비스 판매원 텔레마케터 인터넷 판매원 노점 및 이동 판매원 행사 및 홍보 도우미 판촉원 곡식작물 재배원 채소작물 재배원 특용작물 재배원 과수작물 재배원 육묘작물 재배원 화훼작물 재배원 조경원 젖소 사육자 낙농업관련 종사원 육우 사육자 돼지 사육자 가금 사육자 가축 사육 종사원 양봉 종사원 수렵 종사원 동물 부화원 감별사 동물 사육사 사육관련 종사원 조림 및 영림원 벌목원 임산물채취 종사원 임업관련 종사원 어패류 양식원 해조류 양식원 양식원 원근해 어부 내수면 어부 해녀 제빵원 및 제과원 떡제조원 정육원 도축원 정육 및 도축 관련 종사원 식품등급원 담배등급원 김치제조 종사원 밑반찬제조 종사원 건강원 및 탕제원 종사원 수산물가공 및 염장원 수제식품제조 종사원 직물 패턴사 가죽 패턴사 모피 패턴사 패턴사 의복 재단사 신발 및 구두 재단사 재단사 직물 재봉사 가죽 및 모피 재봉사 신발 재봉사 기계 자수사 재봉사 제화원 모자 제조원 카페트 및 가발 제조원 시트 제품 제조원 수날염원 섬유 및 펠트 관련 선별원 섬유 및 가죽 관련 기능 종사원 한복 제조원 양장 제조원 양복 제조원 모피 및 가죽의복 제조원 의복 수선원 가죽 수선원 모피 수선원 구두 수선원 수선원 운동복 제조원 근무복 제조원 셔츠 및 바지 제조원 의복 제조원 목재케이스 및 목상자 제조원 목제품 제조관련 종사원 가구 제조원 가구 수리원 악기제조 및 수리원 조율사 간판 제작 및 설치원 금형원 목형원 주형원 금속 주입원 단조원 제관원 판금원 가스 용접원 전기 용접원 용접원 자동차 엔진 정비원 자동차 섀시 정비원 자동차 전기․전자 정비원 자동차 판금 정비원 자동차 도장 정비원 자동차 경정비원 자동차 정비원 비행기 정비원 헬리콥터 정비원 선박 정비원 고속철 기관차 정비원 철도 기관차 정비원 전동차 정비원 객화차 정비원 오토바이 정비원 자전거 정비원 운송장비 정비원 식품기계 설치 및 정비원 섬유기계 설치 및 정비원 화학기계 설치 및 정비원 공작기계 설치 및 정비원 전자제품기계 설치 및 정비원 공업기계 설치 및 정비원 엘리베이터 설치 및 정비원 에스컬레이터 설치 및 정비원 휠체어 리프트 설치 및 정비원 크레인 설치 및 정비원 호이스트 설치 및 정비원 지게차 정비원 물품 이동 장비 설치 및 정비원 건물용 냉동․냉장․공조기 설치 및 정비원 냉동․냉장․공조기 설치 및 정비원 건물용 보일러 설치 및 정비원 보일러 설치 및 정비원 건설용 기계 설치 및 정비원 광업용 기계 설치 및 정비원 농업용 기계 설치 및 정비원 기계장비 설치 및 정비원 PC 설치 및 수리원 사무기기 설치 및 수리원 가전제품 설치 및 수리원 감시카메라 설치 및 수리원 현금인출기 설치 및 수리원 포스시스템 설치 및 수리원 영상․전자음향기기 설치 및 수리원 의료기기 설치 및 수리원 휴대폰 수리원 시계 및 카메라 수리원 광학기구 수리원 전기․전자기기 설치 및 수리원 비행기 전기 설치원 선박 전기 설치원 철도차량 전기 설치원 플랜트 전기 설치원 산업 전기 설치원 건물내 전기 설치 및 정비원 비상 발전기 설치 및 정비원 조명기구 설치 및 수리원 전기제어장치 설치 및 정비원 전기기기 설치 및 정비원 내선 설치 및 정비원 송․배전 설비 전기원 지중 전력설비 전기원 전기케이블 접속원 철도 고가 전선 가설원 외선 전기원 강구조물 가공원 강구조물 건립원 경량 철골공 철근공 인조석 설치원 콘크리트패널 조립원 콘크리트 타설원 건축 석공 전통건물 건축원 외장 목공 형틀 목공 내장 목공 조적공 보도블록 설치원 석재 부설원 조적공 및 석재 부설원 비계공 건물칸막이 설치원 건물 해체원 건설관련 기능 종사원 미장공 방수공 단열공 마루 설치원 타일 부착원 대리석 부착원 바닥재 시공원 도배공 유리 부착원 건물 도장공 건축 도장공 섀시 조립 및 설치원 건물 영선원 건축마감관련 기능 종사원 광원 채석원 석재 절단원 철로 설치원 철로 보수원 점화․발파 및 화약 관리원 잠수 기능원 삭구원 및 케이블접속원 천일염 생산 종사원 채굴 및 토목 관련 종사원 영상장비 설치 및 수리원 위성방송 안테나 설치 및 수리원 통신장비 설치 및 수리원 기지국 설치 및 수리원 통신 케이블 설치 및 수리원 방송 케이블 설치 및 수리원 인터넷 케이블 설치 및 수리원 도자기 공예원 조화 공예원 목 공예원 석 공예원 양초 공예원 종이 공예원 공예원 귀금속 세공원 보석 세공원 귀금속 및 보석 세공원 상하수 배관공 가스 배관공 플랜트 배관공 선박 배관공 항공기 배관공 배관공 배관 세정원 건물외벽 청결원 방역원 배관 세정원 및 방역원 인쇄관련 기능 종사원 유리관련 기능 종사원 기능관련 종사원 곡물 및 사료 제분기 조작원 조미료 제분기 조작원 도정기 조작원 제분 및 도정 관련 기계조작원 빵․과자․떡 제조 기계조작원 두부 및 유사제품 기계조작원 국수 및 면류제품 기계조작원 사탕․껌 및 초콜릿 제품 기계조작원 곡물가공제품 기계조작원 육류 가공 기계조작원 어패류 가공 기계조작원 낙농품 가공 기계조작원 과실 및 채소 통조림기 조작원 과실 및 채소 살균기 조작원 과실 및 채소 냉장기 조작원 과실 및 채소 건조기 조작원 청량음료 제조기 조작원 알코올성음료 제조기 조작원 차․커피 및 코코아 제조기 조작원 음료 제조관련 기계조작원 유지 제조기 조작원 조미식품 생산기 조작원 설탕 제조관련 기계조작원 담배 제조관련 기계조작원 건강식품 가공기 조작원 식품가공관련 기계조작원 연조기 조작원 조방기 조작원 정방기 조작원 권사기 조작원 섬유혼합기 조작원 소면기 및 래핑기 조작원 화학섬유 생산기 조작원 섬유제조 기계조작원 표백기 조작원 염색조색원 및 배합원 날염기 조작원 염색기 조작원 표백 및 염색 관련 조작원 제직기 조작원 편직기 조작원 직조기 및 편직기 조작원 신발제조기 조작원 및 조립원 가죽 및 모피 가공원 자동 재단기 조작원 자동 재봉설비 조작원 직물 및 신발 관련 기계조작원 및 조립원 드라이클리닝기 조작원 세탁관련 기계조작원 원유처리장치 조작원 석유 및 천연가스 정제장치 조작원 폐유 및 재생유 처리장치 조작원 석유 및 천연가스 제조 관련 제어장치 조작원 화학물 분쇄기․마쇄기 및 혼합기 조작원 화학물 가열처리장치 조작원 화학물 여과기 및 분리기 조작원 화학물 증류기 및 반응기 조작원 화학물 가공장치 조작원 석유 및 화학물 가공장치 조작원 약제품 생산기 조작원 화장품 생산기 조작원 세제 생산기 조작원 비료 생산기 조작원 필름 생산기 조작원 가스 생산기 조작원 화학제품 생산기 조작원 타이어 생산기 조작원 고무제품 생산기 조작원 타이어 및 고무제품 생산기 조작원 플라스틱사출기 조작원 플라스틱압출기 조작원 플라스틱제품 생산기 조작원 고무제품 조립원 플라스틱제품 조립원 주조기 조작원 단조기 조작원 용접기 조작원 광석 및 금속용광로 조작원 금속용해로 및 금속가열로 조작원 금속가공관련 제어장치 조작원 압연기 조작원 인발기 조작원 연선기 조작원 압출기 조작원 금속열처리로 조작원 금속가공 기계조작원 제관기 조작원 판금기 조작원 차량 도장기 조작원 가구 도장기 조작원 금속제품 도장기 조작원 도장기 조작원 금속 세척기 조작원 전기 도금기 조작원 용융 도금기 조작원 금속 분무기 조작원 금속코팅․광택 및 래미네이팅기 조작원 도금 및 금속분무기 조작원 유리제조 및 제품 가공기 조작원 렌즈 및 프리즘 가공기 조작원 유리제조 및 가공기 조작원 도자기 제품 생산기 조작원 벽돌 및 타일 생산기 조작원 점토제품 생산기 조작원 시멘트 및 석회 제조관련 조작원 콘크리트 제품 제조관련 조작원 시멘트 및 광물제품 제조기 조작원 광석 및 석재 가공장치 조작원 석제품 가공기 조작원 유약 생산기 조작원 광택제 생산기 조작원 비금속제품관련 생산기 조작원 선반기 조작원 밀링기 조작원 드릴링기 및 보링기 조작원 연삭기 및 연마기 조작원 프레스기 및 절단기 조작원 금속절곡기 조작원 머시닝센터 조작원 금속공작기계 조작원 냉․난방기 설비 조작원 냉동․냉장기 설비 조작원 공조기 설비 조작원 자동조립라인 조작원 산업용 로봇 조작원 자동차 조립원 자동차 엔진 조립원 자동차 차체 부분품 조립원 자동차 부분품 조립원 철도차량 조립원 선박 조립원 항공기 조립원 운송장비 조립원 공업기계 조립원 농업기계 조립원 건설기계 조립원 공작기계 조립원 공구 조립원 일반기계 조립원 금속기계부품 조립원 화력발전장치 운전원 수력발전장치 운전원 원자력발전장치 운전원 발전터빈 조작원 배전반 조작원 발전 및 배전장치 조작원 건물 전기 및 전자 설비 조작원 공장 전기 및 전자 설비 조작원 전기 및 전자 설비 조작원 전기부품 제조 기계조작원 전기제품 제조 기계조작원 전자부품 제조 기계조작원 전자제품 제조 기계조작원 전기장비 조립원 영상․음향 장비 조립원 전자․정밀 기구 조립원 가정용 전기․전자 제품 조립원 전기․전자 부품 및 제품 조립원 고속철 기관사 철도 기관사 전동차 기관사 철도 및 전동차 기관사 화물열차 차장 철도 신호원 철도 수송원 화물열차 차장 및 관련 종사원 택시 운전원 시내버스 운전원 시외버스 운전원 고속버스 운전원 관광버스 운전원 버스 운전원 용달화물차 운전원 개별화물차 운전원 일반화물차 운전원 화물차 및 특수차 운전원 자가용 운전원 렌터카 운전원 승합차 운전원 대리 운전원 대리 주차원 자동차 운전원 크레인 운전원 리프트 조작원 호이스트 운전원 지게차 운전원 물품이동 장비 조작원 굴착기․착암기 및 채광기 조작원 시추장비 조작원 도로정지기 운전원 항타기 운전원 도로포장기 및 롤러 운전원 굴삭기 및 불도저 운전원 건설 및 채굴 기계 운전원 갑판장 갑판원 바지선 선원 등대원 선박갑판관련 승무원 펌프장치 조작원 정수처리장치 조작원 하수처리장치 조작원 상․하수도 처리장치 조작원 재활용 처리 기계조작원 소각로 조작원 재활용 처리 및 소각로 조작원 제재기 조작원 목재처리기 조작원 합판생산기 조작원 목재가공관련 기계조작원 가구조립원 펄프 제조장치 조작원 종이 제조장치 조작원 종이상자 및 봉투 제조기 조작원 판지 라이닝기 조작원 인화지 제조기 조작원 위생용 종이제품 제조기 조작원 종이제품 생산기 조작원 목재 및 종이 관련 기계조작원 인쇄필름 출력원 인쇄판 출력원 오프셋인쇄기 조작원 윤전인쇄기 조작원 경인쇄기 조작원 디지털인쇄기 조작원 그라비어인쇄기 조작원 제책 및 재단용 기계조작원 인쇄기 조작원 사진 인화 및 현상기 조작원 사진 인화 및 현상기 조작원 주입․포장 및 봉함기 조작원 상표부착기 조작원 케이블 및 배관 부설기 조작원 공기압축기 조작원 제조관련 기계조작원 건설 단순 종사원 광업 단순 종사원 하역 및 적재 관련 단순 종사원 이삿짐 운반원 하역 및 적재 단순 종사원 우편물 집배원 택배원 택배원 음식 배달원 음료 배달원 신문 배달원 배달원 수동 포장원 수동 상표부착원 제품 단순선별원 제조관련 단순종사원 건물내부 청소원 운송장비 청소원 청소원 쓰레기 수거원 거리 미화원 재활용품 수거원 환경 미화원 및 재활용품 수거원 아파트 경비원 건물 경비원 경비원 검표원 가사 도우미 육아 도우미 패스트푸드원 주방 보조원 주유원 매장 정리원 전단지 배포원 및 벽보원 판매관련 단순 종사원 농업 단순 종사원 임업 단순 종사원 어업 단순 종사원 산불 감시원 계기 검침원 가스 점검원 수금원 주차 관리원 주차 안내원 구두 미화원 세탁원 및 다림질원 환경 감시원 서비스관련 단순 종사원 영관급 이상 장교 영관급 이상 장교 위관급 장교 위관급 장교 장기 부사관 및 준위 장기 부사관 및 준위 ffaker-2.8.1/lib/ffaker/data/job_cn/0000755000004100000410000000000013233715167017167 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/job_cn/job_nouns0000644000004100000410000000723513233715167021115 0ustar www-datawww-data会计师 会计助理 记帐员 会计部经理 会计部职员 会计主管 演员 广告文撰写人 行政助理 行政经理 行政人员 行政主管 局域网管理员 广告助理 广告协调员 地勤人员 航空公司定座员 航空公司职员 新闻主播 广播员 应用软件程序员 学徒工 考古学家 建筑师 工匠 艺术家 客户管理助理 人事助理 副厂长 商店经理助理 人力资源副总裁助理 副总裁助理 副教授 宇航员 运动员 服务员 律师 审计师 汽车技工 保姆 烘培师 理发师 棒球选手 门童 旅馆行李员 员工福利协调员 清洁工 生物学家 铁匠 证券分析员 证券交易员 植物学家 拳击手 部门经理 经纪人 预算师 公车司机 业务主任 业务经理 屠夫 采购员 木匠 漫画家 出纳员 厨师 化学工程师 总工程师 首席执行官 首席运营官 土木工程师 公务员 文员 打字员 接待员 小丑 鞋匠 薪酬经理 作曲家 计算机工程师 程序员 乘务员 建筑工人 厨师 牛仔 工匠 客户经理 客户代表 海关官员 舞蹈家 牙科医生 副总经理 设计师 侦探 人力资源总监 信息服务主管 运营总监 分公司权利总监 董事 主管 医生 推销员 司机 药剂师 经济研究助理 经济学家 编辑 电气工程师 电工 员工关系代表 招募顾问 英语教师 行政董事 市场执行总监 探险家 外销部经理 外汇部职员 外汇部核算员 后勤经理 农夫 时装设计师 土地担保协调员 财务主任 财务总监 财务报告人 消防人员 消防员 渔夫 花商 飞行员 食品服务经理 外交部长 领班 财务经理 园丁 审计长 总经理助理 总经理秘书 地质学家 警卫 导游 理发师 硬件工程师 校长 中学校长 小学校长 产品经理 管家 进口联络员 信息分析师 保险公司理赔员 保险代理人 保险认领管理员 保险协调员 口语翻译 人员配置专员 记者 法官 劳动关系专员 系统分析师 法律顾问 图书管理员 救生员 语言学家 魔术师 邮差 维修工程师 管理顾问 公关部经理 网络管理经理 厂家代表 市场分析师 市场开发部经理 市场调查分析员 市场顾问 销售主管 市场实习生 市场部经理 销售代表 市场销售员 按摩师 数学家 机械师 采购经理 矿工 模特 导演 音乐教师 音乐家 造船工程师 尼姑 护士 职员 业务经理 接线员 包装设计师 画家 人事部职员 药剂师 哲学家 摄影师 物理学家 生理学家 钢琴家 飞行员 厂长 剧作家 诗人 警察 邮政人员 私人秘书 产品经理 校对员 房地产经理 质量管理工程师 房地产经纪人 房地产评估师 房地产经理 前台 招聘专员 饭店经理 零售采购员 雕刻家 船员 安全员 高级会计 高级客户经理 服务部经理 店主 软件工程师 统计员 监管员 辅导员 外科医生 测量员 系统工程师 计程车司机 技术编辑 电话调查员 导游 贸易财务主管 交通协管员 培训部经理 培训专员 翻译核对员 翻译员 运输经理 银行高级职员 五毛 兽医 人力资源副总裁 焊接工 批发采购员 动物学家 编辑 部长助理 播音指导 参事 仓库管理员 常务副省长 车间主任 大学校长 党组书记 电视主持人 儿科主任医师 发言人 法警 法医 妇科主治医师 副教授 高级工程师 高级编辑 高级讲师 公证员 顾问 护师 讲师 警督 警监 警员 局长 录音师 名誉董事长 名誉教授 名誉顾问 人大代表 人民法院院长 人民检察院检察长 省长 书记 特级教师 司长 武官 文化专员 舞蹈编剧 舞台监督 县长 乡镇长 新闻文化参赞 学院院长 巡视员 ffaker-2.8.1/lib/ffaker/data/sport/0000755000004100000410000000000013233715167017104 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/sport/names0000644000004100000410000000136313233715167020135 0ustar www-datawww-dataArchery Artistic Gymnastics Athletics BMX Badminton Base jumping Basketball Beach Volleyball Bodyboarding Bodysurfing Boxing Canoe Slalom Canoe Sprint Cycling BMX Cycling Mountain Bike Cycling Road Cycling Track Diving Equestrian Fencing Football Formula Indy Formula One Golf Handball Hockey Jiu Jitsu Judo Karate Kickboxing Kitesurfing Longboard Marathon Swimming Mixed Martial Arts Modern Pentathlon Mountain Bike Muay-Thai Nascar Rafting Rapel Rhythmic Gymnastics Rowing Rugby Rugby Sevens Running Sailing Sandboarding Shooting Skateboarding Ski Skimboarding Snowboarding Soccer Surfing Swimming Synchronised Swimming Table Tennis Taekwondo Tennis Trampoline Gymnastics Triathlon Volleyball Wakeboarding Water Polo Weightlifting Windsurfing Wrestling ffaker-2.8.1/lib/ffaker/data/name_vn/0000755000004100000410000000000013233715167017360 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/name_vn/middle_names0000644000004100000410000000102113233715167021716 0ustar www-datawww-dataAn Anh Bay Bich Bảo Bằng Châu Cung Công Cảnh Diệp Dung Gia Giang Hiệp Hoa Hoàng Huỳnh Hà Hùng Hạnh Hải Hằng Hồng Khoa Khánh Khôi Kim Lai Lan Linh Liêm Liên Long Lưu Lộc Mai Minh Mạnh Mộng Mỹ Nam Nghĩa Nguyên Nguyệt Ngọc Nhung Ninh Phát Phùng Phú Phương Phục Quang Quyên Quân Quỳnh Sang Sơn Thanh Thi Thiên Thoa Thu Thuận Thảo Toàn Trinh Trung Trúc Tuyến Tuyết Tuân Tâm Tân Tùng Tú Tưởng Tạo Uyên Vinh Việt Văn Vũ Xuân Xương Yến Đông Đạt ffaker-2.8.1/lib/ffaker/data/name_vn/last_names0000644000004100000410000000062213233715167021431 0ustar www-datawww-dataBành Bùi Cao Chu Chung Châu Diệp Dương Dương Giang Hoàng Huỳnh Hà Hàn Hồ Kim Kiều La Liễu Lâm Lê Lý Lưu Lương Lạc Lục Mai Mã Mạch Nghiêm Nguyễn Ngô Phan Phó Phùng Phạm Quang Quyền Quách Sái Thi Thái Thân Thạch Thảo Thủy Tiêu Trang Triệu Trương Trần Trịnh Tô Tôn Tạ Võ Văn Vĩnh Vũ Vưu Vương Đinh Đoàn Đàm Đào Đặng Đỗ ffaker-2.8.1/lib/ffaker/data/name_vn/first_names0000644000004100000410000000004413233715167021613 0ustar www-datawww-dataThị Văn Hữu Đức Công Quang ffaker-2.8.1/lib/ffaker/data/locale/0000755000004100000410000000000013233715167017174 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/locale/language_code0000644000004100000410000000062713233715167021701 0ustar www-datawww-dataAA AB AF AM AR AS AY AZ BA BE BG BH BI BN BO BR CA CO CS CY DA DE DZ EL EN EO ES ET EU FA FI FJ FO FR FY GA GD GL GN GU HA HI HR HU HY IA IE IK IN IS IT IW JA JI JW KA KK KL KM KN KO KS KU KY LA LN LO LT LV MG MI MK ML MN MO MR MS MT MY NA NE NL NO OC OM OR PA PL PS PT QU RM RN RO RU RW SA SD SG SH SI SK SL SM SN SO SQ SR SS ST SU SV SW TA TE TG TH TI TK TL TN TO TR TS TT TW UK UR UZ VI VO WO XH YO ZH ZUffaker-2.8.1/lib/ffaker/data/locale/language0000644000004100000410000000210113233715167020674 0ustar www-datawww-dataAfar Abkhazian Afrikaans Amharic Arabic Assamese Aymara Azerbaijani Bashkir Byelorussian Bulgarian Bihari Bislama Bengali Tibetan Breton Catalan Corsican Czech Welsh Danish German Bhutani Greek English Esperanto Spanish Estonian Basque Persian Finnish Fiji Faeroese French Frisian Irish Gaelic Galician Guarani Gujarati Hausa Hindi Croatian Hungarian Armenian Interlingua Interlingue Inupiak Indonesian Icelandic Italian Hebrew Japanese Yiddish Javanese Georgian Kazakh Greenlandic Cambodian Kannada Korean Kashmiri Kurdish Kirghiz Latin Lingala Laothian Lithuanian Latvian Malagasy Maori Macedonian Malayalam Mongolian Moldavian Marathi Malay Maltese Burmese Nauru Nepali Dutch Norwegian Occitan Oromo Oriya Punjabi Polish Pashto Portuguese Quechua Rhaeto Kirundi Romanian Russian Kinyarwanda Sanskrit Sindhi Sangro Serbo Singhalese Slovak Slovenian Samoan Shona Somali Albanian Serbian Siswati Sesotho Sudanese Swedish Swahili Tamil Tegulu Tajik Thai Tigrinya Turkmen Tagalog Setswana Tonga Turkish Tsonga Tatar Twi Ukrainian Urdu Uzbek Vietnamese Volapuk Wolof Xhosa Yoruba Chinese Zuluffaker-2.8.1/lib/ffaker/data/address_chde/0000755000004100000410000000000013233715167020345 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/data/address_chde/canton0000644000004100000410000000036513233715167021556 0ustar www-datawww-dataAargau Appenzell Innerrhoden Appenzell Ausserrhoden Bern Basel-Landschaft Basel-Stadt Freiburg Genf Glarus Graubünden Jura Luzern Neuenburg Nidwalden Obwalden St. Gallen Schaffhausen Solothurn Schwyz Thurgau Tessin Uri Waadt Wallis Zug Zürich ffaker-2.8.1/lib/ffaker/address.rb0000644000004100000410000000560513233715167017004 0ustar www-datawww-data# encoding: utf-8 module FFaker module Address extend ModuleUtils extend self COMPASS_DIRECTIONS = %w[North East West South].freeze CITY_PREFIXES = COMPASS_DIRECTIONS + %w[New Lake Port] SEC_ADDR = ['Apt. ###', 'Suite ###'].freeze # @deprecated US specific address info. Moved into {AddressUS} def zip_code warn '[zip_code] is deprecated. For US addresses please use the AddressUS module' FFaker::AddressUS.zip_code end def us_state warn '[us_state] is deprecated. For US addresses please use the AddressUS module' FFaker::AddressUS.state end def us_state_abbr warn '[state_abbr] is deprecated. For US addresses please use the AddressUS module' FFaker::AddressUS.state_abbr end # end US deprecation def city_prefix fetch_sample(CITY_PREFIXES) end def city_suffix fetch_sample(CITY_SUFFIXES) end def city case rand(0..3) when 0 then format('%s %s%s', city_prefix, Name.first_name, city_suffix) when 1 then format('%s %s', city_prefix, Name.first_name) when 2 then format('%s%s', Name.first_name, city_suffix) when 3 then format('%s%s', Name.last_name, city_suffix) end end def street_suffix fetch_sample(STREET_SUFFIX) end def building_number FFaker.numerify(('#' * rand(0..2)) << '###') end def street_name case rand(0..1) when 0 then "#{Name.last_name} #{street_suffix}" when 1 then "#{Name.first_name} #{street_suffix}" end end def street_address(include_secondary = false) str = "#{building_number} #{street_name}" str << " #{secondary_address}" if include_secondary str end def secondary_address FFaker.numerify(fetch_sample(SEC_ADDR)) end # @deprecated UK specific address info. Moved into {AddressUK} # UK Variants def uk_county warn '[uk_county] is deprecated. For UK addresses please use the AddressUK module' FFaker::AddressUK.county end def uk_country warn '[uk_country] is deprecated. For UK addresses please use the AddressUK module' FFaker::AddressUK.country end def uk_postcode warn '[uk_postcode] is deprecated. For UK addresses please use the AddressUK module' FFaker::AddressUK.postcode end # end UK deprecation def neighborhood fetch_sample(NEIGHBORHOOD) end def country(given_code = nil) country_index = COUNTRY_CODE.index(given_code) if given_code && country_index COUNTRY[country_index] else fetch_sample(COUNTRY) end end def country_code(given_country = nil) code_index = COUNTRY.index(given_country) if given_country && code_index COUNTRY_CODE[code_index] else fetch_sample(COUNTRY_CODE) end end def time_zone fetch_sample(TIME_ZONE) end end end ffaker-2.8.1/lib/ffaker/gender_kr.rb0000644000004100000410000000035213233715167017311 0ustar www-datawww-data# encoding: utf-8 module FFaker module GenderKR extend ModuleUtils extend self GENDERS = %w[남 녀].freeze def random fetch_sample(GENDERS) end alias maybe random alias sample random end end ffaker-2.8.1/lib/ffaker/product.rb0000644000004100000410000000240413233715167017031 0ustar www-datawww-data# encoding: utf-8 module FFaker module Product extend ModuleUtils extend self B2 = %w[nix cell sync func balt sche pod].freeze VOWELS = %w[a e i o u ou ie y io].freeze START = %w[tr br p ph].freeze SUFFIX = %w[ck ns nce nt st ne re ffe ph].freeze ADDON = %w[wood forge func].freeze def brand case rand(0..11) when (0..4) then fetch_sample(B1) + fetch_sample(B2) when (5..10) then [ fetch_sample(START), fetch_sample(VOWELS), fetch_sample(SUFFIX), rand(0..1).zero? ? fetch_sample(ADDON) : nil ].join.capitalize when 11 then letters(2..3).to_s end end def product_name case rand(0..1) when 0 then "#{fetch_sample(ADJ)} #{fetch_sample(NOUN)}" when 1 then "#{[fetch_sample(ADJ), fetch_sample(ADJ)].uniq.join(' ')} #{fetch_sample(NOUN)}" end end def product "#{brand} #{product_name}" end def letters(n) max = n.is_a?(Range) ? fetch_sample(n.to_a) : n (0...max).map { fetch_sample(LETTERS).upcase }.join end def model case rand(0..1) when 0 then "#{fetch_sample(LETTERS).upcase}#{rand(90)}" # N90 when 1 then "#{letters(1..rand(1..2))}-#{rand(9900)}" # N-9400 end end end end ffaker-2.8.1/lib/ffaker/vehicle.rb0000644000004100000410000000310113233715167016763 0ustar www-datawww-data# encoding: utf-8 module FFaker module Vehicle extend ModuleUtils extend self DRIVETRAINS = %w[4WD 4X4 AWD FWD RWD].freeze YEARS = [*'1900'..(Date.today.year + 1).to_s].freeze COLOR_PREFIXES = k(%w[ beautiful bright calm dangerous dark dull fast magnetic magnificent majestic melodic metallic mundane mute mysterious new pleasant pretty resonant royal slate soft tranquil vibrant weak ]) TRANSMISSIONS_ABBR = %w[AT MT AM CVT].freeze CYLINDERS = %w[2 5 6 8].freeze def base_color FFaker::Color.name end def drivetrain fetch_sample(DRIVETRAINS) end def make fetch_sample(MAKES_LIST) end def manufacturer_color(n = 2) # Take two prefixes because it's more fun than one (fetch_sample(COLOR_PREFIXES, count: n) + [base_color]).join(' ') end alias mfg_color manufacturer_color def model fetch_sample(MODELS_LIST) end def trim fetch_sample(TRIMS_LIST) end def vin FFaker.bothify('1#???#####?######').upcase end def year fetch_sample(YEARS) end def transmission fetch_sample(TRANSMISSIONS_LIST) end def transmission_abbr fetch_sample(TRANSMISSIONS_ABBR) end def engine_cylinders fetch_sample(CYLINDERS) end def engine_displacement fetch_sample(DISPLACEMENTS_LIST) end def fuel_type fetch_sample(FUEL_TYPES_LIST) end def interior_upholstery fetch_sample(UPHOLSTERY_LIST) end end end ffaker-2.8.1/lib/ffaker/aws.rb0000644000004100000410000000064013233715167016143 0ustar www-datawww-data# encoding: utf-8 module FFaker module AWS extend ModuleUtils extend self def instance_type fetch_sample(EC2_INSTANCE_TYPE) end def offering_type fetch_sample(EC2_RESERVED_OFFERING_TYPE) end def instance_tenancy fetch_sample(EC2_RESERVED_INSTANCE_TENANCY) end def product_description fetch_sample(EC2_RESERVED_PRODUCT_DESCRIPTION) end end end ffaker-2.8.1/lib/ffaker/phone_number_cu.rb0000644000004100000410000000661413233715167020530 0ustar www-datawww-datamodule FFaker # Author: Luilver # Based on information from http://en.wikipedia.org/wiki/Telephone_numbers_in_Cuba module PhoneNumberCU extend ModuleUtils extend self # Mobile prefixes MobileOperatorsPrefix = %w[05].freeze # Home or Work Operator prefixes HomeWorkOperatorsPrefix = %w[021 022 023 024 031 032 033 041 042 043 045 046 047 048 07].freeze OperatorsPrefix = MobileOperatorsPrefix + HomeWorkOperatorsPrefix # Return a prefix in MobileOperatorsPrefix # @see FFaker::PhoneNumberCU::MobileOperatorsPrefix # def mobile_phone_prefix fetch_sample(MobileOperatorsPrefix) end # Return a prefix in HomeWorkOperatorsPrefix # @see FFaker::PhoneNumberCU::HomeWorkOperatorsPrefix # def home_work_phone_prefix fetch_sample(HomeWorkOperatorsPrefix) end def phone_prefix fetch_sample(OperatorsPrefix) end # Generates a general phone number # (0x) xxx xxxx or (0xx) xx xxxx # def home_work_phone_number phone_prefix = home_work_phone_prefix case phone_prefix.size when 2 then FFaker.numerify("(#{phone_prefix}) ### ####") when 3 then FFaker.numerify("(#{phone_prefix}) ## ####") end end # Generates a mobile phone number # 05 xxx xxxx # def mobile_phone_number FFaker.numerify("#{mobile_phone_prefix} ### ####") end # Generates general number # def general_phone_number case rand(0..1) when 0 then home_work_phone_number when 1 then mobile_phone_number end end # Country Code is E.164 Country Code # def country_code e164_country_code end # International formats # def international_country_code case rand(0..1) when 0 then "00#{country_code}" when 1 then "+#{country_code}" end end def international_mobile_phone_number FFaker.numerify("#{international_country_code}#{mobile_phone_prefix[1]} ### ####") end def international_home_work_phone_number phone_prefix = home_work_phone_prefix case phone_prefix.size when 2 then FFaker.numerify("#{international_country_code}#{phone_prefix[1]} ### ####") when 3 then FFaker.numerify("#{international_country_code}#{phone_prefix[1, 2]} ## ####") end end def international_phone_number case rand(0..1) when 0 then international_mobile_phone_number when 1 then international_home_work_phone_number end end # E.164 formats # Based on information from http://en.wikipedia.org/wiki/E.164 # def e164_country_code '53' end def e164_mobile_phone_number FFaker.numerify("#{country_code}#{mobile_phone_prefix[1]}#######") end def e164_home_work_phone_number phone_prefix = home_work_phone_prefix case phone_prefix.size when 2 then FFaker.numerify("#{e164_country_code}#{phone_prefix[1]}#######") when 3 then FFaker.numerify("#{e164_country_code}#{phone_prefix[1, 2]}######") end end def e164_phone_number case rand(0..1) when 0 then e164_mobile_phone_number when 1 then e164_home_work_phone_number end end # Generates phone number # def phone_number case rand(0..2) when 0 then general_phone_number when 1 then international_phone_number when 2 then e164_phone_number end end end end ffaker-2.8.1/lib/ffaker/string.rb0000644000004100000410000000524213233715167016662 0ustar www-datawww-data# encoding: utf-8 module FFaker module String extend ModuleUtils extend self BACKSLASH = '\\'.freeze DASH = '-'.freeze LOWERS = [*'a'..'z'].freeze UPPERS = [*'A'..'Z'].freeze LETTERS = LOWERS + UPPERS NUMBERS = [*'0'..'9'].freeze WORD_CHARS = LETTERS + NUMBERS + ['_'] SPACES = [' ', "\t"].freeze ESCAPEABLE_CHARS = ['\\', '/', '.', '(', ')', '[', ']', '{', '}'].freeze def from_regexp(exp) result = '' @last_token = nil # Drop surrounding /'s and split into characters tokens = exp.inspect[1...-1].split(//) result << process_token(tokens) until tokens.empty? result end private def generate_range(tokens) result = [] while tokens.any? token = tokens.shift if token == DASH && tokens.first && result.last result += [*result.pop..tokens.shift] elsif token == BACKSLASH result << special(tokens.shift) else result << token end end result end def process_token(tokens) return '' if tokens.empty? token = tokens.shift case token when '?' then # TODO: Let ? generate nothing '' # We already printed its target when '+' then tokens.unshift(token) if rand(0..1) == 1 # Leave the `+` on to run again process_token(@last_token) # Run the last one at least once when '*' then tokens.unshift(token) if rand(0..1) == 1 # Leave the `*` on to run again return '' if rand(0..1) == 1 # Or maybe do nothing process_token(@last_token) # Else run the last one again when '{' then number = '' while (ch = tokens.shift) != '}' number << ch end number = number.to_i - 1 t = @last_token.dup Array.new(number) { process_token(t.dup) }.join else generate_token token, tokens end end def generate_token(token, tokens) case token when /\w/ then @last_token = [token] token when BACKSLASH then token = tokens.shift @last_token = ['\\', token] special(token) when '[' then set = [] while (ch = tokens.shift) != ']' set << ch end @last_token = ['['] + set + [']'] process_token([fetch_sample(generate_range(set))]) else token end end def special(token) case token when 'w' then fetch_sample(WORD_CHARS) when 'd' then fetch_sample(NUMBERS) when 's' then fetch_sample(SPACES) when *ESCAPEABLE_CHARS then token else '' end end end end ffaker-2.8.1/lib/ffaker/unit.rb0000644000004100000410000000166013233715167016333 0ustar www-datawww-data# encoding: utf-8 require 'ostruct' module FFaker module Unit extend ModuleUtils extend self TIME_UNITS = [ { name: 'Years', abbreviation: 'yr' }, { name: 'Days', abbreviation: 'd' }, { name: 'Hours', abbreviation: 'Minutes' }, { name: 'Seconds', abbreviation: 's' }, { name: 'Milliseconds', abbreviation: 'msec' } ].freeze TEMPERATURE_UNITS = [ { name: 'Kelvin', abbreviation: 'K' }, { name: 'Celsius', abbreviation: 'C' }, { name: 'Fahrenheit', abbreviation: 'F' } ].freeze def time_name time.name end def time_abbr time.abbreviation end def temperature_name temperature.name end def temperature_abbr temperature.abbreviation end private def time OpenStruct.new(fetch_sample(TIME_UNITS)) end def temperature OpenStruct.new(fetch_sample(TEMPERATURE_UNITS)) end end end ffaker-2.8.1/lib/ffaker/name_ua.rb0000644000004100000410000000252513233715167016762 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/name' module FFaker module NameUA extend ModuleUtils extend self FIRST_NAMES = FIRST_NAMES_MALE + FIRST_NAMES_FEMALE LAST_NAMES = LAST_NAMES_MALE + LAST_NAMES_FEMALE MIDDLE_NAMES = MIDDLE_NAMES_MALE + MIDDLE_NAMES_FEMALE def first_name_female fetch_sample(FIRST_NAMES_FEMALE) end def first_name_male fetch_sample(FIRST_NAMES_MALE) end def middle_name_female fetch_sample(MIDDLE_NAMES_FEMALE) end def middle_name_male fetch_sample(MIDDLE_NAMES_MALE) end def last_name_female fetch_sample(LAST_NAMES_FEMALE) end def last_name_male fetch_sample(LAST_NAMES_MALE) end def first_name fetch_sample(FIRST_NAMES) end def last_name fetch_sample(LAST_NAMES) end def name case rand(0..7) when 0 then first_name_male when 1 then first_name_female when 2 then "#{first_name_male} #{middle_name_male}" when 3 then "#{first_name_female} #{middle_name_male}" when 4 then "#{last_name_male} #{first_name_male}" when 5 then "#{last_name_female} #{first_name_female}" when 6 then "#{last_name_male} #{first_name_male} #{middle_name_male}" when 7 then "#{last_name_female} #{first_name_female} #{middle_name_female}" end end end end ffaker-2.8.1/lib/ffaker/name_mx.rb0000644000004100000410000000551113233715167016777 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/name' module FFaker # guapolo github.com/guapolo module NameMX include FFaker::Name extend ModuleUtils extend self MALE_PREFIXES = %w[Sr. C.].freeze FEMALE_PREFIXES = %w[Sra. Srita. C.].freeze PREFIXES = %w[Sr. Sra. Srita. C.].freeze # Full name according to gender and prefix, possibly with middle_name def full_name(gender = :any, prefix = false) if prefix full_name_prefix(gender) else full_name_no_prefix(gender) end end # Full name with prefix according to gender, possibly with middle_name def full_name_prefix(gender = :any) case gender when :any then case rand(0..8) when 0, 3, 6, 8 then "#{female_prefix} #{female_name} #{paternal_last_names}" else "#{male_prefix} #{male_name} #{paternal_last_names}" end when :male then "#{male_prefix} #{male_name} #{paternal_last_names}" when :female then "#{female_prefix} #{female_name} #{paternal_last_names}" else raise ArgumentError, 'Invalid gender, must be one of :any, :male, :female' end end # Full name with no prefix according to gender, possibly with middle_name def full_name_no_prefix(gender = :any) case gender when :any then case rand(0..8) when 0, 3, 6, 8 then "#{female_name} #{paternal_last_names}" else "#{male_name} #{paternal_last_names}" end when :male then "#{male_name} #{paternal_last_names}" when :female then "#{female_name} #{paternal_last_names}" else raise ArgumentError, 'Invalid gender, must be one of :any, :male, :female' end end # Male first name and possibly middle name def male_name case rand(0..8) when 0, 5 then "#{first_name(:male)} #{middle_name(:male)}" else first_name(:male) end end # Female first name and possibly middle name def female_name case rand(0..8) when 0, 5 then "#{first_name(:female)} #{middle_name(:female)}" else first_name(:female) end end # A single name according to gender parameter def name(gender = :any) case gender when :any then rand(0..1) == 0 ? name(:male) : name(:female) when :male then fetch_sample(MALE_FIRST_NAMES) when :female then fetch_sample(FEMALE_FIRST_NAMES) else raise ArgumentError, 'Invalid gender, must be one of :any, :male, :female' end end alias middle_name name alias first_name name # Father's and mother's last name def paternal_last_names "#{last_name} #{last_name}" end def last_name fetch_sample(LAST_NAMES) end def prefix fetch_sample(PREFIXES) end def male_prefix fetch_sample(MALE_PREFIXES) end def female_prefix fetch_sample(FEMALE_PREFIXES) end end end ffaker-2.8.1/lib/ffaker/phone_number_se.rb0000644000004100000410000000445413233715167020530 0ustar www-datawww-data# encoding: utf-8 module FFaker # Format for swedish numbers, from here # from http://sv.wikipedia.org/wiki/Telefonnummer # # All area codes are from this list # http://sv.wikipedia.org/wiki/Lista_%C3%B6ver_svenska_riktnummer # # - Length 9 # 08-xxx xxx xx, 0xx-xxx xx xx, 0xxx-xx xx xx # - Length 8 # 08-xxx xx xx, 0xx-xx xx xx, 0xxx-xxx xx # - Length 7 # 08-xx xx xx, 0xx-xxx xx # module PhoneNumberSE extend ModuleUtils extend self PHONE_FORMAT_PREFIX_2 = ['%s-### ### ##', '%s-### ## ##', '%s-## ## ##'].freeze PHONE_FORMAT_PREFIX_3 = ['%s-### ## ##', '%s-## ## ##', '%s-## ###'].freeze PHONE_FORMAT_PREFIX_4 = ['%s-## ## ##', '%s-### ##'].freeze MOBILE_PHONE_FORMAT = ['%s#-## ## ##', '%s#-######'].freeze COUNTRY_PREFIX = ['+46', '0046'].freeze MOBILE_PHONE_PREFIX = %w[70 72 73 76 74].freeze def phone_number case rand(0..1) when 0 then home_work_phone_number when 1 then mobile_phone_number end end def home_work_phone_number FFaker.numerify("0#{phone_number_format}") end def mobile_phone_number FFaker.numerify("0#{mobile_phone_number_format}") end def international_phone_number case rand(0..1) when 0 then international_mobile_phone_number when 1 then international_home_work_phone_number end end def country_prefix fetch_sample(COUNTRY_PREFIX) end def international_mobile_phone_number FFaker.numerify("#{country_prefix} (0)#{mobile_phone_number_format}") end def international_home_work_phone_number FFaker.numerify("#{country_prefix} (0)#{phone_number_format}") end def area_prefix fetch_sample(PHONE_PREFIX) end def phone_number_format prefix = area_prefix case prefix.length when 1 then fetch_sample(PHONE_FORMAT_PREFIX_2) when 2 then fetch_sample(PHONE_FORMAT_PREFIX_3) when 3 then fetch_sample(PHONE_FORMAT_PREFIX_4) end % prefix end def mobile_prefix fetch_sample(MOBILE_PHONE_PREFIX) end def mobile_phone_number_format fetch_sample(MOBILE_PHONE_FORMAT) % mobile_prefix end end end ffaker-2.8.1/lib/ffaker/html_ipsum.rb0000644000004100000410000001132213233715167017531 0ustar www-datawww-data# encoding: utf-8 module FFaker # Loosely based on http://html-ipsum.com/ # Requires FFaker::Lorem module module HTMLIpsum extend ModuleUtils extend self def a(word_count = 2) "#{words(word_count).capitalize!}" end def p(count = 3, options = {}) options = { fancy: false, include_breaks: false }.merge(options) if options[:fancy] s = fancy_string(count, options[:include_breaks]) else mode = options[:include_breaks] ? 'paragraphs' : 'paragraph' s = send(mode.to_sym, count) end content_tag_for(:p, s) end def dl(definitions = 2) content_tag_for :dl do |dl| definitions.times do dl << content_tag_for(:dt, words(1).capitalize!) dl << content_tag_for(:dd, paragraph(2)) end end end def ul_short(items = 3) content_tag_for :ul do |ul| items.times do ul << content_tag_for(:li, sentence(2)) end end end def ul_long(items = 3) content_tag_for :ul do |ul| items.times do ul << content_tag_for(:li, paragraph(2)) end end end def ol_short(items = 3) content_tag_for :ol do |ol| items.times do ol << content_tag_for(:li, sentence(2)) end end end def ol_long(items = 3) content_tag_for :ol do |ol| items.times do ol << content_tag_for(:li, paragraph(2)) end end end def ul_links(items = 3) content_tag_for :ul do |ul| items.times do ul << content_tag_for(:li, a(1)) end end end def table(rows = 3) content_tag_for(:table) do |table| table << content_tag_for(:thead) do |thead| thead << content_tag_for(:tr) do |tr| tr << content_tag_for(:th, word.capitalize) tr << content_tag_for(:th, word.capitalize) tr << content_tag_for(:th, word.capitalize) tr << content_tag_for(:th, word.capitalize) end end table << content_tag_for(:tbody) do |tbody| rows.times do tbody << content_tag_for(:tr) do |tr| tr << content_tag_for(:td, words(1).capitalize) tr << content_tag_for(:td, words(1).capitalize) tr << content_tag_for(:td, words(1).capitalize) tr << content_tag_for(:td, a) end end end end end def body body = content_tag_for(:h1, words(2).capitalize) rand(0..3).times do body << content_tag_for(:p, fancy_string) end body << table(rand(0..3)) body << content_tag_for(:h2, words(2).capitalize) body << content_tag_for(:ol) do |ol| rand(0..3).times do ol << content_tag_for(:li, paragraph(1)) end end body << content_tag_for(:blockquote) do |bq| bq << content_tag_for(:p, paragraphs(3)) end body << content_tag_for(:h3, words(2).capitalize!) body << content_tag_for(:ul) do |ul| rand(0..3).times do ul << content_tag_for(:li, paragraph(1)) end end body << content_tag_for(:pre) do |pre| pre << content_tag_for(:code) do |code| code << " ##{word} h1 a { display: block; width: 300px; height: 80px; } " end end body end def fancy_string(count = 3, include_breaks = false) sep = include_breaks ? '
' : ' ' a = k([ content_tag_for(:strong, words(2).capitalize!), content_tag_for(:em, paragraph), content_tag_for(:code, words(2)), (a 2).to_s ] + FFaker::Lorem.paragraphs(count)) fetch_sample(a, count: count).join(sep) end private def content_tag_for(element, content = nil) element_content = if content content else block_html = '' yield(block_html) block_html end "<#{element}>#{element_content}" end def word FFaker::Lorem.word end def words(word_count = 3) FFaker::Lorem.words(word_count).join(' ') end def sentence(word_count = 3) FFaker::Lorem.sentence(word_count) end def sentences(sentence_count = 3) FFaker::Lorem.sentences(sentence_count).join(' ') end def paragraph(sentence_count = 3) FFaker::Lorem.paragraph(sentence_count) end def paragraphs(paragraph_count = 3) FFaker::Lorem.paragraphs(paragraph_count).join('
') end end end ffaker-2.8.1/lib/ffaker/courses.rb0000644000004100000410000000050713233715167017036 0ustar www-datawww-data# encoding: utf-8 module FFaker module CoursesFR module Mathematiques extend ModuleUtils extend self def lesson fetch_sample(LESSONS) end end module Philosophie extend ModuleUtils extend self def lesson fetch_sample(LESSONS) end end end end ffaker-2.8.1/lib/ffaker/unit_metric.rb0000644000004100000410000000364413233715167017702 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/unit' require 'ostruct' module FFaker module UnitMetric include FFaker::Unit extend ModuleUtils extend self LENGTH_UNITS = [ { name: 'millimeters', abbreviation: 'mm' }, { name: 'centimeters', abbreviation: 'cm' }, { name: 'meters', abbreviation: 'm' }, { name: 'kilometers', abbreviation: 'km' } ].freeze MASS_UNITS = [ { name: 'gram', abbreviation: 'g' }, { name: 'kilogram', abbreviation: 'kg' }, { name: 'metric ton', abbreviation: 'mt' } ].freeze LIQUID_UNITS = [ { name: 'milliliters', abbreviation: 'ml' }, { name: 'liters', abbreviation: 'L' } ].freeze VOLUME_UNITS = [ { name: ' cubic centimeters', abbreviation: 'cm^3' }, { name: 'cubic meters', abbreviation: 'm^3' } ].freeze AREA_UNITS = [ { name: 'centimeters squared', abbreviation: 'cm^2' }, { name: 'meters squared', abbreviation: 'm^2' }, { name: 'hectares', abbreviation: 'ha' }, { name: 'kilometers', abbreviation: 'km' } ].freeze def mass_name mass.name end def mass_abbr mass.abbreviation end def length_name length.name end def length_abbr length.abbreviation end def liquid_name liquid.name end def liquid_abbr liquid.abbreviation end def volume_name volume.name end def volume_abbr volume.abbreviation end def area_name area.name end def area_abbr area.abbreviation end private def length OpenStruct.new(fetch_sample(LENGTH_UNITS)) end def mass OpenStruct.new(fetch_sample(MASS_UNITS)) end def liquid OpenStruct.new(fetch_sample(LIQUID_UNITS)) end def volume OpenStruct.new(fetch_sample(VOLUME_UNITS)) end def area OpenStruct.new(fetch_sample(AREA_UNITS)) end end end ffaker-2.8.1/lib/ffaker/name_nl.rb0000644000004100000410000000175613233715167016773 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/name' module FFaker module NameNL include FFaker::Name extend ModuleUtils extend self PREFIXES = %w[Dr. Drs. Ir. Ing. Prof.].freeze def name case rand(0..29) when 0 then "#{prefix} #{first_name} #{last_name}" else "#{first_name} #{last_name}" end end def first_name case rand(0..1) when 0 then first_name_female when 1 then first_name_male end end def first_name_female case rand(0..7) when 0 then [fetch_sample(FIRST_NAMES_FEMALE), fetch_sample(FIRST_NAMES_FEMALE)].join('-') else fetch_sample(FIRST_NAMES_FEMALE) end end def first_name_male case rand(0..7) when 0 then [fetch_sample(FIRST_NAMES_MALE), fetch_sample(FIRST_NAMES_MALE)].join('-') else fetch_sample(FIRST_NAMES_MALE) end end def last_name fetch_sample(LAST_NAMES) end def prefix fetch_sample(PREFIXES) end end end ffaker-2.8.1/lib/ffaker/address_da.rb0000644000004100000410000000137013233715167017443 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address' module FFaker module AddressDA include FFaker::Address extend ModuleUtils extend self REGION = %w[Hovedstaden Sjælland Syddanmark Midtjylland Nordjylland].freeze STATE = REGION def zip_code FFaker.numerify('####') end def post_nr zip_code end def state kommune end def kommune fetch_sample(KOMMUNE) end def region fetch_sample(REGION) end def city fetch_sample(CITY) end def street_name fetch_sample(STREET) end def street_address "#{street_name} #{rand(0..99)}" end def full_address "#{street_address} #{post_nr} #{city} #{region} DANMARK" end end end ffaker-2.8.1/lib/ffaker/address_us.rb0000644000004100000410000000134613233715167017511 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address' module FFaker module AddressUS include FFaker::Address extend ModuleUtils extend self ZIP_FORMATS = ['#####', '#####-####'].freeze CONTINENTAL_STATE = (STATE - %w[Hawaii Alaska]) CONTINENTAL_STATE_ABBR = (STATE_ABBR - %w[HI AK]) def zip_code FFaker.numerify(fetch_sample(ZIP_FORMATS)) end def state fetch_sample(STATE) end def state_abbr fetch_sample(STATE_ABBR) end def state_and_territories_abbr fetch_sample(STATE_AND_TERRITORIES_ABBR) end def continental_state fetch_sample(CONTINENTAL_STATE) end def continental_state_abbr fetch_sample(CONTINENTAL_STATE_ABBR) end end end ffaker-2.8.1/lib/ffaker/name_nb.rb0000644000004100000410000000154113233715167016751 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/name' module FFaker module NameNB include FFaker::Name extend ModuleUtils extend self PREFIXES = %w[Dr. Prof.].freeze def name case rand(0..29) when 0 then "#{prefix} #{first_name} #{last_name}" else "#{first_name} #{last_name}" end end def first_name case rand(0..11) when 0..4 then first_name_female when 5..9 then first_name_male when 10 then "#{first_name_male} #{first_name_male}" when 11 then "#{first_name_female} #{first_name_female}" end end def first_name_female fetch_sample(FIRST_NAMES_FEMALE) end def first_name_male fetch_sample(FIRST_NAMES_MALE) end def last_name fetch_sample(LAST_NAMES) end def prefix fetch_sample(PREFIXES) end end end ffaker-2.8.1/lib/ffaker/company_it.rb0000644000004100000410000000227113233715167017515 0ustar www-datawww-data# encoding: utf-8 module FFaker module CompanyIT extend ModuleUtils extend self PREFIXES = ['Studio Legale', 'Studio Tecnico', 'Laboratorio'].freeze SUFFIXES = %w[S.p.a. s.r.l. s.n.c. Avvocati Architetti Ingegneri].freeze def name case rand(0..2) when 0 then "#{NameIT.last_name} #{suffix}" when 1 then "#{NameIT.last_name} e #{NameIT.last_name} #{suffix}" when 2 then "#{prefix} #{NameIT.last_name}" end end def suffix fetch_sample(SUFFIXES) end def prefix fetch_sample(PREFIXES) end # Calculated using the algorithm at https://it.wikipedia.org/wiki/Partita_IVA # to return a valid Partita IVA (Italian VAT number) # @return a valid Italian VAT number (Partita IVA) def partita_iva matricola = Array.new(7) { rand(0..9) } office_code = fetch_sample(PIVA_OFFICE_CODES) base = matricola + office_code.chars.map(&:to_i) # Thanks https://stackoverflow.com/a/9189731/1627766 sum = base.reverse.each_slice(2).flat_map { |x, y| [(x * 2).divmod(10), y || 0] }.flatten.reduce(:+) control_digit = (10 - (sum % 10)) % 10 (base << control_digit).join end end end ffaker-2.8.1/lib/ffaker/unit_english.rb0000644000004100000410000000445313233715167020047 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/unit' require 'ostruct' module FFaker module UnitEnglish include FFaker::Unit extend ModuleUtils extend self LENGTH_UNITS = [ { name: 'inch', abbreviation: 'in' }, { name: 'foot', abbreviation: 'ft' }, { name: 'yard', abbreviation: 'yd' }, { name: 'furlong', abbreviation: 'fur' }, { name: 'mile', abbreviation: 'm' } ].freeze MASS_UNITS = [ { name: 'grains', abbreviation: 'gr' }, { name: 'ounces', abbreviation: 'oz' }, { name: 'pounds', abbreviation: 'lb' }, { name: 'hundredweight', abbreviation: 'cwt' }, { name: 'ton', abbreviation: 't' } ].freeze LIQUID_UNITS = [ { name: 'fluid ounce', abbreviation: 'fl oz' }, { name: 'gill', abbreviation: 'gi' }, { name: 'pint', abbreviation: 'pt' }, { name: 'quart', abbreviation: 'qt' } ].freeze VOLUME_UNITS = [ { name: 'cubic inch', abbreviation: 'CI' }, { name: 'cubic foot', abbreviation: 'CFT' }, { name: 'cubic yard', abbreviation: 'CY' } ].freeze AREA_UNITS = [ { name: 'square inch', abbreviation: 'sq. in' }, { name: 'square foot', abbreviation: 'sq ft' }, { name: 'square yard', abbreviation: 'sq yd' }, { name: 'acre', abbreviation: 'ac' }, { name: 'section', abbreviation: 's' }, { name: 'square mile', abbreviation: 'sq mi' }, { name: 'township', abbreviation: 'Twp' } ].freeze def mass_name mass.name end def mass_abbr mass.abbreviation end def length_name length.name end def length_abbr length.abbreviation end def liquid_name liquid.name end def liquid_abbr liquid.abbreviation end def volume_name volume.name end def volume_abbr volume.abbreviation end def area_name area.name end def area_abbr area.abbreviation end private def length OpenStruct.new(fetch_sample(LENGTH_UNITS)) end def mass OpenStruct.new(fetch_sample(MASS_UNITS)) end def liquid OpenStruct.new(fetch_sample(LIQUID_UNITS)) end def volume OpenStruct.new(fetch_sample(VOLUME_UNITS)) end def area OpenStruct.new(fetch_sample(AREA_UNITS)) end end end ffaker-2.8.1/lib/ffaker/name.rb0000644000004100000410000000441513233715167016275 0ustar www-datawww-data# encoding: utf-8 module FFaker module Name extend ModuleUtils extend self MALE_PREFIXES = %w[Mr.].freeze FEMALE_PREFIXES = %w[Mrs. Miss.].freeze OTHER_PREFIXES = %w[Ms. Dr.].freeze PREFIXES = (MALE_PREFIXES + FEMALE_PREFIXES + OTHER_PREFIXES).freeze FIRST_NAMES = (FIRST_NAMES_FEMALE + FIRST_NAMES_MALE).freeze SUFFIXES = %w[Jr. Sr. I II III IV V MD DDS PhD DVM].freeze def name "#{first_name} #{last_name}" end def html_safe_name "#{first_name} #{html_safe_last_name}" end def name_with_prefix fetch_sample( [ female_name_with_prefix, male_name_with_prefix ] ) end def name_with_suffix fetch_sample( [ female_name_with_suffix, male_name_with_suffix ] ) end def name_with_prefix_suffix fetch_sample( [ female_name_with_prefix_suffix, male_name_with_prefix_suffix ] ) end def female_name_with_prefix "#{female_prefix} #{first_name_female} #{last_name}" end def male_name_with_prefix "#{male_prefix} #{first_name_male} #{last_name}" end def female_name_with_suffix "#{first_name_female} #{last_name} #{suffix}" end def male_name_with_suffix "#{first_name_male} #{last_name} #{suffix}" end def female_name_with_prefix_suffix "#{female_prefix} #{first_name_female} #{last_name} #{suffix}" end def male_name_with_prefix_suffix "#{male_prefix} #{first_name_male} #{last_name} #{suffix}" end def first_name fetch_sample(FIRST_NAMES) end def first_name_female fetch_sample(FIRST_NAMES_FEMALE) end def first_name_male fetch_sample(FIRST_NAMES_MALE) end def last_name fetch_sample(LAST_NAMES) end def html_safe_last_name loop do t = LAST_NAMES.sample return t unless t.include? "'" end end def prefix fetch_sample(PREFIXES) end def female_prefix fetch_sample(FEMALE_PREFIXES) end def male_prefix fetch_sample(MALE_PREFIXES) end def other_prefix fetch_sample(OTHER_PREFIXES) end def suffix fetch_sample(SUFFIXES) end end end ffaker-2.8.1/lib/ffaker/airline.rb0000644000004100000410000000035413233715167016776 0ustar www-datawww-data# encoding: utf-8 module FFaker module Airline extend ModuleUtils extend self def name fetch_sample(NAMES_LIST) end def flight_number "#{fetch_sample(CODES_LIST)} #{rand(1..3999)}" end end end ffaker-2.8.1/lib/ffaker/lorem_ua.rb0000644000004100000410000000222513233715167017155 0ustar www-datawww-data# encoding: utf-8 module FFaker module LoremUA extend ModuleUtils extend self def word fetch_sample(WORDS) end def words(num = 3) fetch_sample(WORDS, count: num) end def sentence(word_count = 7) elements = words(word_count + rand(0..9)) elements.insert(rand(3..(elements.count - 3)), ',') if elements.count > 10 result = elements.join(' ').gsub(' , ', ', ') capitalize_ukrainian("#{result}#{sentence_type_mark}") end alias phrase sentence def sentences(sentence_count = 3) (1..sentence_count).map { sentence } end alias phrases sentences def paragraph(sentence_count = 5) sentences(sentence_count + rand(0..2)).join(' ') end def paragraphs(paragraph_count = 3) (1..paragraph_count).map { paragraph } end private def sentence_type_mark case rand(0..9) when 0..7 then '.' when 8 then '!' when 9 then '?' end end def capitalize_ukrainian(string) unless CAPITAL_CHARS.include?(string[0]) string[0] = CAPITAL_CHARS[CHARS.index(string[0])] end string end end end ffaker-2.8.1/lib/ffaker/company_cn.rb0000644000004100000410000000057513233715167017506 0ustar www-datawww-data# encoding: utf-8 module FFaker module CompanyCN extend ModuleUtils extend self TYPES = %w[科技 食品 电器 教育 咨询 网络].freeze SUFFIXES = %w[有限公司 公司].freeze def name "#{NameCN.first_name}#{type}#{suffix}" end def type fetch_sample(TYPES) end def suffix fetch_sample(SUFFIXES) end end end ffaker-2.8.1/lib/ffaker/bacon_ipsum.rb0000644000004100000410000000047013233715167017651 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/lorem' module FFaker # Thanks to http://baconipsum.com/ module BaconIpsum include Lorem extend ModuleUtils extend self def word fetch_sample(BACON_WORDS) end def words(num = 3) fetch_sample(BACON_WORDS, count: num) end end end ffaker-2.8.1/lib/ffaker/name_ar.rb0000644000004100000410000000072413233715167016756 0ustar www-datawww-data# frozen_string_literal: true # encoding: utf-8 module FFaker module NameAR extend ModuleUtils extend self def first_name_male fetch_sample(FIRST_NAMES_MALE) end def first_name_female fetch_sample(FIRST_NAMES_FEMALE) end def last_name fetch_sample(LAST_NAMES) end def name_male "#{first_name_male} #{last_name}" end def name_female "#{first_name_female} #{last_name}" end end end ffaker-2.8.1/lib/ffaker/address_de.rb0000644000004100000410000000130713233715167017447 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address' module FFaker module AddressDE include FFaker::Address extend ModuleUtils extend self def zip_code FFaker.numerify '#####' end def state fetch_sample(STATE) end def city fetch_sample(CITY) end def street_name name = fetch_sample([true, false]) ? NameDE.last_name.to_s : NameDE.first_name.to_s name + random_type_of_street end def street_address "#{street_name} #{rand(1..192)}" end private def random_type_of_street case rand(0..19) when 0 then 'weg' when 1 then 'gasse' when 3 then 'hain' else 'str.' end end end end ffaker-2.8.1/lib/ffaker/name_cn.rb0000644000004100000410000000051613233715167016753 0ustar www-datawww-data# encoding: utf-8 module FFaker module NameCN extend ModuleUtils extend self def name "#{first_name}#{last_name}" end def first_name fetch_sample(FIRST_NAMES) end def last_name fetch_sample(LAST_NAMES) end def last_first "#{last_name}#{first_name}" end end end ffaker-2.8.1/lib/ffaker/address_br.rb0000644000004100000410000000143613233715167017465 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address' module FFaker module AddressBR include FFaker::Address extend ModuleUtils extend self STREET_PREFIX = %w[Rua Avenida Travessa Alameda].freeze def zip_code FFaker.numerify '#####-###' end def state fetch_sample(STATE) end def state_abbr fetch_sample(STATE_ABBR) end def city fetch_sample(CITY) end def street_prefix fetch_sample(STREET_PREFIX) end def street case rand(0..1) when 0 then "#{street_prefix} #{NameBR.name}" when 1 then "#{street_prefix} #{NameBR.first_name} #{NameBR.last_name} #{NameBR.last_name}" end end def full_address "#{street}, #{building_number}, #{city}, #{state}, Brazil" end end end ffaker-2.8.1/lib/ffaker/skill.rb0000644000004100000410000000064313233715167016472 0ustar www-datawww-data# encoding: utf-8 module FFaker module Skill extend ModuleUtils extend self def tech_skill fetch_sample(TECH_SKILLS) end def tech_skills(num = 3) fetch_sample(TECH_SKILLS, count: num) end def specialty format('%s %s', fetch_sample(SPECIALTY_START), fetch_sample(SPECIALTY_END)) end def specialties(num = 3) (1..num).map { specialty } end end end ffaker-2.8.1/lib/ffaker/ssn_se.rb0000644000004100000410000000577013233715167016654 0ustar www-datawww-data# encoding: utf-8 require 'date' module FFaker # The Social Security number is a 12-digit number in the format: # "YYYYDDMM-XXXX' # # http://sv.wikipedia.org/wiki/Personnummer_i_Sverige # # The 4 last digits (XXXX) are generated based on what region the person are # born # in, the gender and the last one is a check digit using the luhn # algorithm. # # http://en.wikipedia.org/wiki/Luhn_algorithm # # Usage: # ssn(from: Time.local(1980, 2, 28), # to: Time.local(2000, 2, 28), # gender: :male) # module SSNSE extend ModuleUtils extend self GENDERS = %w[female male].freeze def ssn(opts = {}) from = opts[:from] || ::Time.local(1940, 1, 1) to = opts[:to] || ::Time.now gender = (opts[:gender] || fetch_sample(GENDERS)).to_s raise_error_on_bad_arguments(from, to, gender) generate_ssn(from, to, gender) end private def generate_ssn(from, to, gender) birth_date = random_birth_time_between(from, to) birth_date_str = birth_date.strftime('%Y%m%d') # "19800228" region = get_random_region_for(gender) # "413" ssn_without_check_digit = birth_date_str + region # "19800228413" check_digit = luhn_check(ssn_without_check_digit) # "9" ssn_without_check_digit + check_digit # "198002284139" end def raise_error_on_bad_arguments(from, to, gender) raise ArgumentError, 'Invalid from argument: from' unless to.is_a? ::Time raise ArgumentError, 'Invalid from argument: from' unless from.is_a? ::Time raise ArgumentError, 'Invalid argument: from > to' if from > to raise ArgumentError, 'Invalid argument: gender' unless GENDERS.include?(gender.to_s) end def random_birth_time_between(from = ::Time.local(1940, 1, 1), to = ::Time.now) ::Time.at(from + rand * (to.to_f - from.to_f)) end def get_random_region_for(gender) region_number = case gender when 'female' then get_random_region_even when 'male' then get_random_region_odd end three_character_string(region_number) end def get_random_region_even rand(0..498) * 2 end def get_random_region_odd rand(0..498) * 2 + 1 end def three_character_string(number) format('%03d', number) end # http://en.wikipedia.org/wiki/Luhn_algorithm def luhn_check(number) multiplications = [] number.split(//).each_with_index do |digit, i| multiplications << if i.even? digit.to_i * 2 else digit.to_i end end sum = 0 multiplications.each do |num| num.to_s.each_byte do |character| sum += character.chr.to_i end end control_digit = if sum % 10 == 0 0 else (sum / 10 + 1) * 10 - sum end control_digit.to_s end end end ffaker-2.8.1/lib/ffaker/address_se.rb0000644000004100000410000000176313233715167017474 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address' module FFaker # List of countries from http://sv.wikipedia.org/wiki/V%C3%A4rldens_l%C3%A4nder#Lista_.C3.B6ver_l.C3.A4nder # The streetnames are all the roads in Stockholm that contains "väg" or "gata" # List of cities are from http://sv.wikipedia.org/wiki/Sveriges_kommuner module AddressSE include FFaker::Address extend ModuleUtils extend self ZIP_FORMATS = ['#####', '## ###'].freeze STREET_NBR_FORMATS = ['##', '#', '#a', '#b', '###'].freeze def zip_code FFaker.numerify(fetch_sample(ZIP_FORMATS)) end def city fetch_sample(CITY) end def street_name fetch_sample(STREET) end def street_address "#{street_name} #{street_nbr}" end def street_nbr FFaker.numerify(fetch_sample(STREET_NBR_FORMATS)) end def full_address "#{street_address}, #{zip_code} #{city}, SVERIGE" end def random_country fetch_sample(COUNTRIES) end end end ffaker-2.8.1/lib/ffaker/address_au.rb0000644000004100000410000001155513233715167017472 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address' module FFaker # Author wiseleyb module AddressAU include FFaker::Address extend ModuleUtils extend self # based on areas labeled state (+act) here: http://en.wikipedia.org/wiki/States_and_territories_of_Australia STATE = [ 'Australian Capital Territory', 'New South Wales', 'Queensland', 'South Australia', 'Tasmania', 'Victoria', 'Western Australia' ].freeze STATE_ABBR = %w[ACT NSW NT QLD SA TAS VIC WA].freeze # based on http://en.wikipedia.org/wiki/List_of_cities_in_Australia SUBURB = { 'ACT' => { '2600' => 'Canberra', '2601' => 'Canberra', '2602' => "O'Connor", '2612' => 'Braddon' }, 'NT' => { '0800' => 'Darwin', '0830' => 'Palmerston' }, 'SA' => { '5000' => 'Adelaide', '5015' => 'Port Adelaide', '5211' => 'Victor Harbor', '5251' => 'Mount Barker', '5253' => 'Murray Bridge', '5254' => 'Murray Bridge', '5290' => 'Mount Gambier', '5291' => 'Mount Gambier', '5540' => 'Port Pirie', '5600' => 'Whyalla', '5606' => 'Port Lincoln', '5607' => 'Port Lincoln', '5700' => 'Port Augusta', '5710' => 'Port Augusta' }, 'WA' => { '6000' => 'Perth', '6008' => 'Subiaco', '6009' => 'Nedlands', '6021' => 'Stirling', '6027' => 'Joondalup', '6053' => 'Bayswater', '6065' => 'Wanneroo', '6110' => 'Gosnells', '6112' => 'Armadale', '6151' => 'South Perth', '6156' => 'Melville', '6160' => 'Fremantle', '6168' => 'Rockingham', '6210' => 'Mandurah', '6230' => 'Bunbury', '6330' => 'Albany', '6430' => 'Kalgoorlie', '6530' => 'Geraldton' }, 'NSW' => { '2000' => 'Sydney', '2031' => 'Randwick', '2046' => 'Canada Bay', '2068' => 'Willoughby', '2112' => 'Ryde', '2142' => 'Holroyd', '2148' => 'Blacktown', '2150' => 'Parramatta', '2165' => 'Fairfield', '2170' => 'Liverpool', '2193' => 'Canterbury', '2200' => 'Bankstown', '2216' => 'Rockdale', '2220' => 'Hurstville', '2250' => 'Gosford', '2300' => 'Newcastle', '2320' => 'Maitland', '2325' => 'Cessnock', '2340' => 'Tamworth', '2350' => 'Armidale', '2450' => 'Coffs Harbour', '2460' => 'Grafton', '2480' => 'Lismore', '2500' => 'Wollongong', '2529' => 'Shellharbour', '2560' => 'Campbelltown', '2580' => 'Goulburn', '2620' => 'Queanbeyan', '2640' => 'Albury', '2650' => 'Wagga Wagga', '2680' => 'Griffith', '2750' => 'Penrith', '2790' => 'Lithgow', '2795' => 'Bathurst', '2800' => 'Orange', '2830' => 'Dubbo', '2880' => 'Broken Hill' }, 'QLD' => { '4000' => 'Brisbane', '4217' => 'Surfers Paradise', '4305' => 'Ipswich', '4350' => 'Toowoomba', '4370' => 'Warwick', '4551' => 'Caloundra', '4570' => 'Gympie', '4650' => 'Maryborough', '4655' => 'Hervey Bay', '4670' => 'Bundaberg', '4680' => 'Gladstone', '4700' => 'Rockhampton', '4740' => 'Mackay', '4810' => 'Townsville', '4820' => 'Charters Towers', '4825' => 'Mount Isa', '4870' => 'Cairns' }, 'VIC' => { '3000' => 'Melbourne', '3175' => 'Dandenong', '3199' => 'Frankston', '3220' => 'Geelong', '3280' => 'Warrnambool', '3300' => 'Hamilton', '3337' => 'Melton', '3350' => 'Ballarat', '3377' => 'Ararat', '3400' => 'Horsham', '3500' => 'Mildura', '3550' => 'Bendigo', '3585' => 'Swan Hill', '3630' => 'Shepparton', '3672' => 'Benalla', '3677' => 'Wangaratta', '3690' => 'Wodonga', '3825' => 'Moe', '3840' => 'Morwell', '3844' => 'Traralgon', '3850' => 'Sale', '3875' => 'Bairnsdale' }, 'TAS' => { '7000' => 'Hobart', '7010' => 'Glenorchy', '7250' => 'Launceston', '7310' => 'Devonport', '7320' => 'Burnie' } }.freeze POSTCODE = SUBURB.inject({}) { |h, (s_abbr, postcode_suburb_map)| h.update(s_abbr => postcode_suburb_map.keys) } TIME_ZONE = { 'ACT' => 'Australia/Canberra', 'NT' => 'Australia/Darwin', 'SA' => 'Australia/Adelaide', 'WA' => 'Australia/Perth', 'NSW' => 'Australia/Sydney', 'QLD' => 'Australia/Brisbane', 'VIC' => 'Australia/Melbourne', 'TAS' => 'Australia/Hobart' }.freeze def postcode(st_abbr = nil) st_abbr ||= state_abbr POSTCODE[st_abbr][rand(0...POSTCODE[st_abbr].size)] end def state fetch_sample(STATE) end def state_abbr fetch_sample(STATE_ABBR) end def suburb(st_abbr = nil, p_code = nil) st_abbr ||= state_abbr p_code ||= postcode(st_abbr) SUBURB[st_abbr][p_code] end def full_address(st_abbr = nil) st_abbr ||= state_abbr "#{FFaker::Address.street_address}, #{suburb(st_abbr)} #{st_abbr} #{postcode}" end def time_zone(st_abbr = nil) if st_abbr TIME_ZONE[st_abbr] else TIME_ZONE.values.sample end end end end ffaker-2.8.1/lib/ffaker/book.rb0000644000004100000410000000144513233715167016307 0ustar www-datawww-data# encoding: utf-8 module FFaker module Book extend ModuleUtils extend self def title case rand(0..1) when 0 then simple_title when 1 then title_with_prefix end end def genre fetch_sample(GENRES) end def author FFaker::Name.name end def isbn rand(1_000_000_000...25_000_000_000).to_s end def description(sentence_count = 3) FFaker::Lorem.paragraph(sentence_count) end def cover(slug = nil, size = '300x300', format = 'png', bgset = nil) FFaker::Avatar.image(slug, size, format, bgset) end private def simple_title "#{fetch_sample(ADJ_AND_ADV)} #{fetch_sample(NOUNS)}" end def title_with_prefix "#{fetch_sample(PREFIXES)} #{simple_title}" end end end ffaker-2.8.1/lib/ffaker/name_da.rb0000644000004100000410000000215413233715167016737 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/name' module FFaker module NameDA include FFaker::Name extend ModuleUtils extend self PREFIXES = %w[Hr. Fr. Dr. Prof.].freeze def name(gender = :any) generate_name(first_name(gender)) end def any_name name(:any) end def male_name name(:male) end def female_name name(:female) end def first_name(gender = :any) case gender when :any then rand(0..1) == 0 ? first_name(:male) : first_name(:female) when :male then fetch_sample(MALE_FIRST_NAMES) when :female then fetch_sample(FEMALE_FIRST_NAMES) else raise ArgumentError, 'Invalid gender, must be one of :any, :male, :female' end end def last_name fetch_sample(LAST_NAMES) end def prefix fetch_sample(PREFIXES) end private def generate_name(first_name) case rand(0..7) when 0 then "#{prefix} #{first_name} #{last_name}" when 1..2 then "#{first_name} #{last_name} #{last_name}" else "#{first_name} #{last_name}" end end end end ffaker-2.8.1/lib/ffaker/time.rb0000644000004100000410000000253213233715167016311 0ustar www-datawww-data# encoding: utf-8 module FFaker module Time extend ModuleUtils extend self MONTHS = %w[January February March April May June July August September October November December].freeze DAYS_OF_WEEK = %w[Monday Tuesday Wednesday Thursday Friday Saturday Sunday].freeze def month fetch_sample(MONTHS) end def day_of_week(options = {}) fetch_sample(DAYS_OF_WEEK)[0..(options[:long] ? 10 : 2)] end def date(params = {}) years_back = params[:year_range] || 5 latest_year = params [:year_latest] || 0 year = (rand * years_back).ceil + (::Time.now.year - latest_year - years_back) month = (rand * 12).ceil day = (rand * 31).ceil hours = params[:hours] || 0 minutes = params[:minutes] || 0 series = [date = ::Time.local(year, month, day, hours, minutes)] if params[:series] params[:series].each do |some_time_after| series << series.last + (rand * some_time_after).ceil end return series end date.strftime '%Y-%m-%d %T %z' end def datetime(params = {}) hours = params[:hours] || (rand * 12).ceil minutes = params[:minutes] || (rand * 59).ceil date(params.merge(hours: hours, minutes: minutes)) end def between(from, to) ::Time.at(from + rand * (to.to_f - from.to_f)) end end end ffaker-2.8.1/lib/ffaker/job.rb0000644000004100000410000000031513233715167016122 0ustar www-datawww-data# encoding: utf-8 module FFaker module Job extend ModuleUtils extend self def title "#{fetch_sample(JOB_PREFIX)} #{fetch_sample(JOB_ADJ)} #{fetch_sample(JOB_NOUN)}" end end end ffaker-2.8.1/lib/ffaker/phone_number_it.rb0000644000004100000410000000134713233715167020533 0ustar www-datawww-data# encoding: utf-8 module FFaker module PhoneNumberIT extend ModuleUtils extend self COUNTRY_PREFIX = ['+39', '0039', '+39 ', '0039 '].freeze PHONE_NUMBER = ['######', '########'].freeze def phone_number if rand(0..1) == 1 home_phone_number else mobile_phone_number end end def home_phone_number number HOME_PHONE_PREFIXES end def mobile_phone_number number MOBILE_PHONE_PREFIXES end def number(prefixes) p = [ COUNTRY_PREFIX.sample, prefixes.sample, random_space, PHONE_NUMBER.sample ].join('') FFaker.numerify p end def random_space rand(0..1) == 1 ? ' ' : '' end end end ffaker-2.8.1/lib/ffaker/lorem_ru.rb0000644000004100000410000000227213233715167017200 0ustar www-datawww-data# encoding: utf-8 # frozen_string_literal: true module FFaker module LoremRU extend ModuleUtils extend self def word fetch_sample(WORDS) end def words(num = 3) fetch_sample(WORDS, count: num) end def sentence(word_count = 7) elements = words(word_count + rand(0..9)) elements.insert(rand(3..(elements.count - 3)), ',') if elements.count > 10 result = elements.join(' ').gsub(' , ', ', ') capitalize_russian("#{result}#{sentence_type_mark}") end alias phrase sentence def sentences(sentence_count = 3) (1..sentence_count).map { sentence } end alias phrases sentences def paragraph(sentence_count = 5) sentences(sentence_count + rand(0..2)).join(' ') end def paragraphs(paragraph_count = 3) (1..paragraph_count).map { paragraph } end private def sentence_type_mark case rand(10) when 0..7 then '.' when 8 then '!' when 9 then '?' end end def capitalize_russian(string) if CAPITAL_CHARS.include?(string[0]) string else CAPITAL_CHARS[CHARS.index(string[0])] + string[1..-1] end end end end ffaker-2.8.1/lib/ffaker/cheesy_lingo.rb0000644000004100000410000000173513233715167020027 0ustar www-datawww-data# encoding: utf-8 module FFaker module CheesyLingo # Born during RailsGirls Summer of Code 2015. Team Cheesy says Hi! extend ModuleUtils extend self TITLE_1 = %w[Sharp Soft Nutty Smokey Melting Cheeky Fat Dutch Grated Cheesed Milky].freeze TITLE_2 = %w[Gouda Affineurs Alpine Sheep Cows Brie Goats Coulommiers Dairy].freeze def title "#{fetch_sample(TITLE_1)} #{fetch_sample(TITLE_2)}" end def word fetch_sample(CHEESY_WORDS) end def words(count = 5) fetch_sample(CHEESY_WORDS, count: count) end def sentence [ fetch_sample(CHEESY_PHRASES).capitalize, fetch_sample(CHEESY_PHRASES), fetch_sample(CHEESY_PHRASES) ].join + '.' end def paragraph(number_of_phrases = 10) p = fetch_sample(CHEESY_PHRASES).capitalize.to_s (number_of_phrases - 1).times do |s| s = " #{fetch_sample(CHEESY_PHRASES)}" p << s end p << '.' end end end ffaker-2.8.1/lib/ffaker/name_kh.rb0000644000004100000410000000047013233715167016754 0ustar www-datawww-datamodule FFaker module NameKH extend ModuleUtils extend self def name "#{last_name} #{first_name}" end def last_name fetch_sample(LAST_NAMES) end def first_name fetch_sample(FIRST_NAMES) end def nick_name fetch_sample(NICK_NAMES) end end end ffaker-2.8.1/lib/ffaker/phone_number_de.rb0000644000004100000410000000253613233715167020510 0ustar www-datawww-data# encoding: utf-8 module FFaker # Author: lawitschka module PhoneNumberDE extend ModuleUtils extend self # Mobile prefixes are in the 015x, 016x, 017x ranges def mobile_prefix(leading_zero = true) mobile_prefix = '1' + rand(5..7).to_s + rand(0..9).to_s mobile_prefix = '0' + mobile_prefix if leading_zero mobile_prefix end # Region prefixes are in range 02..09 with length of 3 to 5 digits def region_prefix(leading_zero = true) region_prefix = rand(2..9).to_s + FFaker.numerify('#' * rand(1..3)).to_s region_prefix = '0' + region_prefix if leading_zero region_prefix end def phone_number home_work_phone_number end def mobile_phone_number(leading_zero = true) [mobile_prefix(leading_zero), FFaker.numerify('#######')].join(' ') end def home_work_phone_number(leading_zero = true) [region_prefix(leading_zero), FFaker.numerify('#######')].join(' ') end def country_code '+49' end def international_mobile_phone_number [country_code, mobile_phone_number(false)].join(' ') end def international_home_work_phone_number [country_code, home_work_phone_number(false)].join(' ') end def international_phone_number international_home_work_phone_number end end end ffaker-2.8.1/lib/ffaker/phone_number_mx.rb0000644000004100000410000000225413233715167020541 0ustar www-datawww-data# encoding: utf-8 module FFaker # Author: guapolo github.com/guapolo module PhoneNumberMX extend ModuleUtils extend self # Generates a general phone number # xx xxxx xxxx # def home_work_phone_number FFaker.numerify('## #### ####') end # Generates a mobile phone number # 044 xx xxxx xxxx # def mobile_phone_number FFaker.numerify('044 ## #### ####') end # generates mobile or home/work number def phone_number case rand(0..1) when 0 then home_work_phone_number when 1 then mobile_phone_number end end def country_code '+52' end def international_mobile_phone_number FFaker.numerify("#{country_code} 1 ## #### ####") end def international_home_work_phone_number FFaker.numerify("#{country_code} ## #### ####") end def international_phone_number case rand(0..1) when 0 then international_mobile_phone_number when 1 then international_home_work_phone_number end end # Generates a toll-free number # 01 800 xxx xxxx # def toll_free_number FFaker.numerify('01 800 ### ####') end end end ffaker-2.8.1/lib/ffaker/phone_number_fr.rb0000644000004100000410000000342713233715167020527 0ustar www-datawww-data# frozen_string_literal: true # encoding: utf-8 module FFaker # Source: https://en.wikipedia.org/wiki/Telephone_numbers_in_France module PhoneNumberFR extend ModuleUtils extend self COUNTRY_CODE = '33' AREA_PREFIX = %w[01 02 03 04 05].freeze NON_AREA_PREFIX = %w[09].freeze HOME_WORK_PHONE_PREFIX = AREA_PREFIX + NON_AREA_PREFIX MOBILE_PHONE_PREFIX = %w[06 07].freeze PHONE_PREFIX = HOME_WORK_PHONE_PREFIX + MOBILE_PHONE_PREFIX PHONE_NUMBER = ['########', ' ## ## ## ##'].freeze def home_work_phone_number number HOME_WORK_PHONE_PREFIX end def mobile_phone_number number MOBILE_PHONE_PREFIX end # generates mobile or home/work number def phone_number case rand(0..1) when 0 then home_work_phone_number when 1 then mobile_phone_number end end def country_code "#{fetch_sample(['+', '00'])}#{COUNTRY_CODE}" end def international_mobile_phone_number number MOBILE_PHONE_PREFIX, country_code end def international_home_work_phone_number number HOME_WORK_PHONE_PREFIX, country_code end def international_phone_number case rand(0..1) when 0 then international_mobile_phone_number when 1 then international_home_work_phone_number end end private def number(prefixes, country_prefix = '') space = random_space prefix = fetch_sample(prefixes) prefix = prefix[1] unless country_prefix == '' FFaker.numerify [ country_prefix, space, # fetch_sample(AREA_CODE), # space, prefix, fetch_sample(PHONE_NUMBER) ].join.strip end def random_space rand(0..1) == 1 ? ' ' : '' end end end ffaker-2.8.1/lib/ffaker/ssn_mx.rb0000644000004100000410000000335413233715167016665 0ustar www-datawww-data# encoding: utf-8 module FFaker # Author Guapolo module SSNMX extend ModuleUtils extend self # The Social Security number is a eleven-digit number in the format # "AABBCCDDEE-F". def ssn FFaker.numerify('##########-#') end # The Social Security number is a eleven-digit number in the format # "AABBCCDDEEF". def ssn_undashed FFaker.numerify('###########') end # http://es.wikipedia.org/wiki/Instituto_Mexicano_del_Seguro_Social # The Social Security number from IMSS # (Instituto Mexicano del Seguro Social) # is a eleven-digit number in the format # "AABBCCDDEE-F". def imss FFaker.numerify('##########-#') end # http://es.wikipedia.org/wiki/Instituto_Mexicano_del_Seguro_Social # The Social Security number from IMSS # (Instituto Mexicano del Seguro Social) # is a eleven-digit number in the format # "AABBCCDDEEF". def imss_undashed FFaker.numerify('###########') end # http://es.wikipedia.org/wiki/Instituto_de_Seguridad_y_Servicios_Sociales_de_los_Trabajadores_del_Estado # The Social Security number from ISSSTE # (Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado) # is a eleven-digit number in the format # "AABBCCDDEE-F". def issste FFaker.numerify('##########-#') end # http://es.wikipedia.org/wiki/Instituto_de_Seguridad_y_Servicios_Sociales_de_los_Trabajadores_del_Estado # The Social Security number from ISSSTE # (Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado) # is a eleven-digit number in the format # "AABBCCDDEEF". def issste_undashed FFaker.numerify('###########') end end end ffaker-2.8.1/lib/ffaker/address_ch_it.rb0000644000004100000410000000031613233715167020144 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address_ch' module FFaker module AddressCHIT include AddressCH extend ModuleUtils extend self def canton fetch_sample(CANTON) end end end ffaker-2.8.1/lib/ffaker/hipster_ipsum.rb0000644000004100000410000000047613233715167020253 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/lorem' module FFaker # thanks to http://hipsteripsum.me module HipsterIpsum include Lorem extend ModuleUtils extend self def word fetch_sample(HIPSTER_WORDS) end def words(num = 3) fetch_sample(HIPSTER_WORDS, count: num) end end end ffaker-2.8.1/lib/ffaker/name_pl.rb0000644000004100000410000000507313233715167016771 0ustar www-datawww-data# encoding: UTF-8 # frozen_string_literal: true module FFaker # Author Walerian Sobczak github.com/walerian777 # Inspirations: # https://pl.wiktionary.org/wiki/Indeks:Polski_-_Imiona # https://pl.wiktionary.org/wiki/Kategoria:Polskie_nazwiska_m%C4%99skie module NamePL extend ModuleUtils extend self GENDERS = %i[random female male].freeze MALE_PREFIXES = %w[Pan].freeze FEMALE_PREFIXES = %w[Pani].freeze ACADEMIC_DEGREE_PREFIXES = %w[lic. inż. mgr mgr\ inż. dr dr\ hab. prof.].freeze PREFIXES = (MALE_PREFIXES + FEMALE_PREFIXES + ACADEMIC_DEGREE_PREFIXES).freeze # Generates a random full name for a given gender (random by default). # Acceptable gender values: :random, :female, :male def name(gender = :random) name_for_gender(:full_name, gender) end alias full_name name def name_with_prefix(gender = :random) name_for_gender(:name_with_prefix, gender) end # Generates a random last name for a given gender (random by default). # Acceptable gender values: :random, :female, :male def last_name(gender = :random) name_for_gender(:last_name, gender) end # Generates a random first name for a given gender (random by default). # Acceptable gender values: :random, :female, :male def first_name(gender = :random) name_for_gender(:first_name, gender) end def female_name_with_prefix "#{female_prefix} #{female_full_name}" end def male_name_with_prefix "#{male_prefix} #{male_full_name}" end def female_full_name "#{female_first_name} #{female_last_name}" end def male_full_name "#{male_first_name} #{male_last_name}" end def female_first_name fetch_sample(FEMALE_FIRST_NAMES) end def female_last_name fetch_sample(FEMALE_LAST_NAMES) end def male_first_name fetch_sample(MALE_FIRST_NAMES) end def male_last_name fetch_sample(MALE_LAST_NAMES) end def prefix fetch_sample(PREFIXES) end def female_prefix fetch_sample(FEMALE_PREFIXES) end def male_prefix fetch_sample(MALE_PREFIXES) end def academic_degree_prefix fetch_sample(ACADEMIC_DEGREE_PREFIXES) end private def name_for_gender(name_type, gender) # :nodoc: raise(ArgumentError, "Gender must be one of: #{GENDERS}") unless GENDERS.include?(gender) return send("#{gender}_#{name_type}") unless gender == :random fetch_sample([send("female_#{name_type}"), send("male_#{name_type}")]) end end end ffaker-2.8.1/lib/ffaker/phone_number_ch.rb0000644000004100000410000000262213233715167020506 0ustar www-datawww-data# encoding: utf-8 module FFaker module PhoneNumberCH extend ModuleUtils extend self COUNTRY_PREFIX = %w[+41 0041 0].freeze AREA_PREFIX = %w[21 22 24 26 27 31 32 33 34 41 43 44 51 52 56 58 61 62 71 81 91].freeze MOBILE_PREFIX = %w[74 75 76 77 78 79].freeze FREE_PHONE_PREFIX = %w[800].freeze SHARED_COST_PREFIX = %w[840 842 844 848].freeze PREMIUM_RATE_PREFIX = %w[900 901 906].freeze PHONE_NUMBER = ['#######', ' ### ## ##'].freeze def phone_number case rand(0..4) when 0 then home_work_phone_number when 1 then mobile_phone_number when 2 then free_phone_number when 3 then shared_cost_phone_number when 4 then premium_rate_phone_number end end def home_work_phone_number FFaker.numerify "#{COUNTRY_PREFIX.sample}#{AREA_PREFIX.sample}#{PHONE_NUMBER.sample}" end def mobile_phone_number FFaker.numerify "#{COUNTRY_PREFIX.sample}#{MOBILE_PREFIX.sample}#{PHONE_NUMBER.sample}" end def free_phone_number FFaker.numerify "#{COUNTRY_PREFIX.sample}#{FREE_PHONE_PREFIX.sample}#{PHONE_NUMBER.sample}" end def shared_cost_phone_number FFaker.numerify "#{COUNTRY_PREFIX.sample}#{SHARED_COST_PREFIX.sample}#{PHONE_NUMBER.sample}" end def premium_rate_phone_number FFaker.numerify "#{COUNTRY_PREFIX.sample}#{PREMIUM_RATE_PREFIX.sample}#{PHONE_NUMBER.sample}" end end end ffaker-2.8.1/lib/ffaker/gender_id.rb0000644000004100000410000000042413233715167017271 0ustar www-datawww-data# frozen_string_literal: true # encoding: utf-8 module FFaker module GenderID extend ModuleUtils extend self GENDERS = %w[laki-laki perempuan].freeze def random fetch_sample(GENDERS) end alias maybe random alias sample random end end ffaker-2.8.1/lib/ffaker/name_id.rb0000644000004100000410000000222313233715167016744 0ustar www-datawww-data# frozen_string_literal: true # encoding: utf-8 module FFaker module NameID extend ModuleUtils extend self MALE_PREFIXES = %w[Tn.].freeze FEMALE_PREFIXES = %w[Ny. Nn.].freeze PREFIXES = (MALE_PREFIXES + FEMALE_PREFIXES).freeze FIRST_NAMES = (FIRST_NAMES_FEMALE + FIRST_NAMES_MALE).freeze def name "#{first_name} #{last_name}" end def name_with_prefix fetch_sample( [ female_name_with_prefix, male_name_with_prefix ] ) end def female_name_with_prefix "#{female_prefix} #{first_name_female} #{last_name}" end def male_name_with_prefix "#{male_prefix} #{first_name_male} #{last_name}" end def first_name fetch_sample(FIRST_NAMES) end def first_name_female fetch_sample(FIRST_NAMES_FEMALE) end def first_name_male fetch_sample(FIRST_NAMES_MALE) end def last_name fetch_sample(LAST_NAMES) end def prefix fetch_sample(PREFIXES) end def female_prefix fetch_sample(FEMALE_PREFIXES) end def male_prefix fetch_sample(MALE_PREFIXES) end end end ffaker-2.8.1/lib/ffaker/address_ch_de.rb0000644000004100000410000000031613233715167020120 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address_ch' module FFaker module AddressCHDE include AddressCH extend ModuleUtils extend self def canton fetch_sample(CANTON) end end end ffaker-2.8.1/lib/ffaker/name_it.rb0000644000004100000410000000114613233715167016767 0ustar www-datawww-data# encoding: utf-8 module FFaker # Author microspino github.com/microspino module NameIT extend ModuleUtils extend self PREFIX = %w[Sig. Sig.ra Sig.na Dr. Dott. Dott.ssa Prof. Prof.ssa].freeze # randomized? (ITALIAN) prefix! # def prefix fetch_sample(PREFIX) end def last_name fetch_sample(LAST_NAMES) end def first_name fetch_sample(FIRST_NAMES) end def name case rand(0..9) when 5, 7 then "#{prefix} #{first_name} #{last_name}" else "#{first_name} #{last_name}" end end end end ffaker-2.8.1/lib/ffaker/phone_number_nl.rb0000644000004100000410000000352713233715167020532 0ustar www-datawww-data# encoding: utf-8 module FFaker module PhoneNumberNL extend ModuleUtils extend self COUNTRY_CODE = '+31'.freeze AREA_CODE_PREFIX = '0'.freeze PHONE_NUMBER = { 2 => ['#######', '### ####', '#### ###'], 3 => ['######', '#### ##', '## ## ##'] }.freeze AREA_CODES = %w[10 111 113 114 115 117 118 13 14 15 161 162 164 165 166 167 168 172 174 180 181 182 183 184 186 187 20 222 223 224 226 227 228 229 23 24 251 252 255 26 294 297 299 30 313 314 315 316 317 318 320 321 33 341 342 343 344 345 346 347 348 35 36 38 40 411 412 413 416 418 43 45 46 475 478 481 485 486 487 488 492 493 495 497 499 50 511 512 513 514 515 516 517 518 519 521 522 523 524 525 527 528 529 53 541 543 544 545 546 547 548 55 561 562 566 570 571 572 573 575 577 578 58 591 592 593 594 595 596 597 598 599 70 71 72 73 74 75 76 77 78 79].freeze MOBILE_PHONE_NUMBER = ['########', ' ## ## ## ##', ' ### ### ##', ' #### ####'].freeze def phone_number case rand(0..1) when 0 then home_work_phone_number when 1 then mobile_phone_number end end def home_work_phone_number area = fetch_sample(AREA_CODES) FFaker.numerify "#{AREA_CODE_PREFIX}#{area}-#{fetch_sample(PHONE_NUMBER[area.size])}" end def mobile_phone_number FFaker.numerify "#{AREA_CODE_PREFIX}6#{fetch_sample(MOBILE_PHONE_NUMBER)}" end def international_phone_number case rand(0..1) when 0 then international_mobile_phone_number when 1 then international_home_work_phone_number end end def international_home_work_phone_number area = fetch_sample(AREA_CODES) FFaker.numerify("#{COUNTRY_CODE} #{area}-#{fetch_sample(PHONE_NUMBER[area.size])}") end def international_mobile_phone_number FFaker.numerify("#{COUNTRY_CODE} 6#{fetch_sample(MOBILE_PHONE_NUMBER)}") end end end ffaker-2.8.1/lib/ffaker/name_sn.rb0000644000004100000410000000275413233715167017001 0ustar www-datawww-data# encoding: utf-8 module FFaker # Author PapePathe github.com/PapePathe # The names & first names in this module were found at this url: # http://www.senegalaisement.com/senegal/noms_et_prenoms.html module NameSN extend ModuleUtils extend self PREFIX_FEMALE = %w[adja adjaratou mame ndeye].freeze PREFIX_MALE = %w[pape eladji mame serigne].freeze def last_name fetch_sample(LAST_NAMES) end def first_name_male fetch_sample(FIRST_NAMES_MALE) end def first_name_female fetch_sample(FIRST_NAMES_FEMALE) end def prefix_male fetch_sample(PREFIX_MALE) end def prefix_female fetch_sample(PREFIX_FEMALE) end def name_male case rand(0..9) when 5, 7 then "#{prefix_male} #{first_name_male} #{last_name}" else "#{first_name_male} #{last_name}" end end def name_female case rand(0..9) when 5, 7 then "#{prefix_female} #{first_name_female} #{last_name}" else "#{first_name_female} #{last_name}" end end def name_sn case rand(0..5) when 0 then "#{prefix_female} #{first_name_female} #{last_name}" when 1 then "#{prefix_male} #{first_name_male} #{last_name}" when 2 then "#{first_name_male} #{last_name}" when 3 then "#{first_name_female} #{last_name}" when 4 then "#{first_name_male} #{last_name}" else "#{first_name_female} #{last_name}" end end end end ffaker-2.8.1/lib/ffaker/address_uk.rb0000644000004100000410000000071313233715167017476 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address' module FFaker module AddressUK include FFaker::Address extend ModuleUtils extend self COUNTRY = ['England', 'Scotland', 'Wales', 'Northern Ireland'].freeze POSTCODE = ['??# #??', '??## #??'].freeze def county fetch_sample(COUNTY) end def country fetch_sample(COUNTRY) end def postcode FFaker.bothify(fetch_sample(POSTCODE)).upcase end end end ffaker-2.8.1/lib/ffaker/address_ja.rb0000644000004100000410000000376513233715167017463 0ustar www-datawww-data# encoding: utf-8 # frozen_string_literal: true require 'ffaker/address' module FFaker module AddressJA include FFaker::Address extend ModuleUtils extend self ZIP_FORMATS = ['###-####'].freeze LAND_NUMBER_FORMATS = ['#丁目#番#号', '###'].freeze def address fetch_sample([ "#{postal_code} #{prefecture}#{city}#{street}#{land_number}", "#{postal_code} #{prefecture}#{county}#{street}#{land_number}", "#{postal_code} #{prefecture}#{designated_city}#{ward}#{street}#{land_number}", "#{postal_code} 東京都#{tokyo_ward}#{street}#{land_number}" ]) end def other_address fetch_sample([ "#{postal_code} #{prefecture}#{city}#{street}#{land_number}", "#{postal_code} #{prefecture}#{county}#{street}#{land_number}" ]) end def designated_city_address fetch_sample([ # 愛知県名古屋市中区錦3丁目24番4号 "#{postal_code} #{prefecture}#{designated_city}#{ward}#{street}#{land_number}" ]) end def tokyo_ward_address fetch_sample([ # 東京都千代田区永田町2丁目2番1号 "#{postal_code} 東京都#{tokyo_ward}#{street}#{land_number}" ]) end def postal_code FFaker.numerify(fetch_sample(ZIP_FORMATS)) end def land_number FFaker.numerify(fetch_sample(LAND_NUMBER_FORMATS)) end def street FFaker.numerify(fetch_sample(CITY)) end def tokyo_ward fetch_sample(TOKYO_WARD) end def ward fetch_sample(WARD) end def village fetch_sample(VILLAGE) end def designated_city fetch_sample(CITY) end def city fetch_sample(CITY) end def county fetch_sample(COUNTY) end def prefecture fetch_sample(PREFECTURE) end end end ffaker-2.8.1/lib/ffaker/avatar.rb0000644000004100000410000000133713233715167016633 0ustar www-datawww-data# encoding: utf-8 module FFaker module Avatar extend ModuleUtils extend self SUPPORTED_FORMATS = %w[png jpg bmp].freeze def image(slug = nil, size = '300x300', format = 'png', bgset = nil) raise ArgumentError, 'Size should be specified in format 300x300' unless size =~ /^[0-9]+x[0-9]+$/ raise ArgumentError, "Supported formats are #{SUPPORTED_FORMATS.join(', ')}" unless SUPPORTED_FORMATS.include?(format) raise ArgumentError, 'Not a supported background number. Choose eather 1 or 2' unless bgset.nil? || (1..2).cover?(bgset.to_i) slug ||= FFaker::Lorem.words.join "https://robohash.org/#{slug}.#{format}?size=#{size}#{'&bgset=bg' + bgset.to_s unless bgset.nil?}" end end end ffaker-2.8.1/lib/ffaker/name_cs.rb0000644000004100000410000001015013233715167016753 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/name' module FFaker module NameCS include FFaker::Name extend ModuleUtils extend self FIRST_NAMES = { female: %w[Alena Andrea Anna Barbora Božena Dagmar Dana Eliška Eva Hana Helena Irena Ivana Jana Jarmila Jaroslava Jiřina Jitka Kateřina Kristýna Lenka Libuše Lucie Ludmila Marcela Marie Markéta Marta Martina Michaela Miroslava Monika Pavla Petra Tereza Věra Veronika Vlasta Zdeňka Zuzana], male: %w[Adam Aleš Alexandr Alois Antonín Bedřich Bohumil Bohuslav Břetislav Dalibor Daniel David Denis Dominik Dušan Eduard Emil Filip František Ivan Ivo Jakub Jan Jaromír Jaroslav Jindřich Jiří Josef Jozef Kamil Karel Kryštof Ladislav Leoš Libor Lubomír Luboš Luděk Ludvík Lukáš Marcel Marek Marian Martin Matěj Matyáš Michael Michal Milan Miloslav Miloš Miroslav Oldřich Ondřej Otakar Patrik Pavel Petr Přemysl Radek Radim Radomír Radovan René Richard Robert Roman Rostislav Rudolf Samuel Stanislav Šimon Štefan Štěpán Tadeáš Tomáš Václav Viktor Vilém Vít Vítězslav Vladimír Vladislav Vlastimil Vojtěch Vratislav Zbyněk Zdeněk] }.freeze LAST_NAMES = { female: %w[Dvořáková Černá Benešová Fialová Doležalová Čermáková Blažková Bartošová Čechová Dostálová Bláhová Burešová Dušková Beranová Bednářová Bártová Fišerová Bílková Beránková Brožová Čížková Adámková Daňková Filipová Červenková Čapková Bendová Adamcová Dvořáčková Brabcová Davidová Březinová Dlouhá Dohnalová Burianová Dufková Fojtíková Burdová Červená Boháčová Bartoňová Doleželová Dudová Adamová Bauerová Divišová Coufalová Čejková Berková Balážová], male: %w[Dvořák Černý Beneš Fiala Doležal Čermák Blažek Bartoš Čech Dostál Bláha Bureš Dušek Beran Bednář Bárta Bílek Beránek Fišer Brož Čížek Filip Červenka Adámek Daněk Dvořáček Benda Adamec Brabec Březina David Burian Čapek Dohnal Dlouhý Fojtík Bartoň Červený Dufek Burda Duda Adam Boháč Doležel Baláž Diviš Coufal Bauer Dolejší] }.freeze SUFFIXES = %w[Ph.D. Th.D. DSc.].freeze GENDERS = %i[male female random].freeze # :nodoc: # All names generated inside the block will have the same sex. # Can be called with explicit sex which will affect # all calls inside thee block: # # FFaker::NameCS.with_same_sex(:female) # person.last_name = FFaker::NameCS.last_name # person.first_name = FFaker::NameCS.first_name # end # # person.last_name # => "Nováková" # person.first_name # => "Jana" def with_same_sex(sex = :random) @fixed_sex = sex == :random ? GENDERS[rand(0..1)] : sex yield ensure @fixed_sex = nil end # Generates random full name which can contain prefix and suffix # Can be called with explicit sex (:male, :female), like: # # FFaker::NameCS.name(:male) # # for_sex defaults to :random. def name(for_sex = :random) with_same_sex(for_sex) do case rand(0..9) when 0 then "#{prefix} #{first_name} #{last_name} #{suffix}" when 1..2 then "#{prefix} #{first_name} #{last_name}" else "#{first_name} #{last_name}" end end end # Generates random last name # for_sex can be :male, :female. Defaults to :random def last_name(for_sex = :random) fetch_sample(LAST_NAMES[select_sex(for_sex)]) end # Generates random first name # for_sex can be :male, :female. Defaults to :random def first_name(for_sex = :random) fetch_sample(FIRST_NAMES[select_sex(for_sex)]) end # Generates random name prefix, an academic degree def prefix fetch_sample(PREFIXES) end # Generates random name suffix, an academic degree def suffix fetch_sample(SUFFIXES) end private def select_sex(sex) # :nodoc: @fixed_sex ||= nil given_sex = @fixed_sex || sex raise ArgumentError, "Unknown sex #{given_sex}" \ unless GENDERS.include?(given_sex) given_sex == :random ? GENDERS[rand(0..1)] : given_sex end end end ffaker-2.8.1/lib/ffaker/job_cn.rb0000644000004100000410000000022613233715167016603 0ustar www-datawww-data# encoding: utf-8 module FFaker module JobCN extend ModuleUtils extend self def title fetch_sample(JOB_NOUNS) end end end ffaker-2.8.1/lib/ffaker/gender.rb0000644000004100000410000000035413233715167016617 0ustar www-datawww-data# encoding: utf-8 module FFaker module Gender extend ModuleUtils extend self GENDERS = %w[male female].freeze def random fetch_sample(GENDERS) end alias maybe random alias sample random end end ffaker-2.8.1/lib/ffaker/lorem_kr.rb0000644000004100000410000000121613233715167017163 0ustar www-datawww-data# encoding: utf-8 module FFaker module LoremKR extend ModuleUtils extend self def word fetch_sample(WORDS) end def words(num = 3) fetch_sample(WORDS, count: num) end def sentence(word_count = 4) "#{words(word_count + rand(1..5)).join(' ')}." end alias phrase sentence def sentences(sentence_count = 3) (1..sentence_count).map { sentence } end alias phrases sentences def paragraph(sentence_count = 3) sentences(sentence_count + rand(0..2)).join(' ') end def paragraphs(paragraph_count = 3) (1..paragraph_count).map { paragraph } end end end ffaker-2.8.1/lib/ffaker/lorem_ar.rb0000644000004100000410000000133213233715167017150 0ustar www-datawww-data# encoding: utf-8 module FFaker # Based on Perl's Text::Lorem module LoremAR extend ModuleUtils extend self def word fetch_sample(WORDS) end def words(num = 3) fetch_sample(WORDS, count: num) end def sentence(word_count = 4) s = words(word_count + rand(0..5)) s = s.join(' ') s.capitalize! "#{s}." end alias phrase sentence def sentences(sentence_count = 3) (1..sentence_count).map { sentence } end alias phrases sentences def paragraph(sentence_count = 3) sentences(sentence_count + rand(0..2)).join(' ') end def paragraphs(paragraph_count = 3) (1..paragraph_count).map { paragraph } end end end ffaker-2.8.1/lib/ffaker/name_th_en.rb0000644000004100000410000000054713233715167017454 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/name_th' module FFaker module NameTHEN extend ModuleUtils extend self def first_name fetch_sample(FIRST_NAMES) end def last_name fetch_sample(LAST_NAMES) end def nick_name fetch_sample(NICK_NAMES) end def name "#{first_name} #{last_name}" end end end ffaker-2.8.1/lib/ffaker/internet_se.rb0000644000004100000410000000515313233715167017674 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/internet' module FFaker module InternetSE include Internet extend ModuleUtils extend self BYTE = [*'0'..'255'].freeze HOSTS = %w[gmail.com yahoo.com hotmail.com spray.se passagen.se].freeze DOMAIN_SUFFIXES = %w[se nu com].freeze DISPOSABLE_HOSTS = %w[mailinator.com suremail.info spamherelots.com binkmail.com safetymail.info].freeze SLUG_DELIMITERS = %w[- _ .].freeze def email(name = nil) "#{user_name(name)}@#{domain_name}" end # Returns an email address of an online disposable email service # (like tempinbox.com). you can really send an email to these # addresses an access it by going to the service web pages. def disposable_email(name = nil) "#{user_name(name)}@#{fetch_sample(DISPOSABLE_HOSTS)}" end def free_email(name = nil) "#{user_name(name)}@#{fetch_sample(HOSTS)}" end # Used to fake login names were dot is not allowed def login_user_name user_name.tr('.', '') end # Mostly used for email creation def user_name(name = nil) return user_name_from_name(name) if name user_name_random end def user_name_random case rand(0..1) when 0 then user_name_variant_short when 1 then user_name_variant_long end end def user_name_variant_long array_parts = [NameSE.first_name, NameSE.last_name] array_parts.map! { |word| word.gsub(/\W/, '') } join_to_user_name(array_parts) end def user_name_variant_short array_parts = [NameSE.first_name] array_parts.map! { |word| word.gsub(/\W/, '') } join_to_user_name(array_parts) end def user_name_from_name(name) array_parts = shuffle(name.scan(/\w+/)) join_to_user_name(array_parts) end def join_to_user_name(array_parts) join_char = fetch_sample(%w[. _]) array_parts.map(&:downcase).join(join_char) end def domain_name "#{domain_word}.#{domain_suffix}" end def domain_word company_name_single_word.tap do |dw| dw.gsub!(/\W/, '') dw.downcase! end end def company_name_single_word CompanySE.name.split(' ').first end def domain_suffix fetch_sample(DOMAIN_SUFFIXES) end def uri(protocol) "#{protocol}://#{domain_name}" end def http_url uri('http') end def ip_v4_address (1..4).map { fetch_sample(BYTE) }.join('.') end def slug(words = nil, glue = nil) glue ||= fetch_sample(SLUG_DELIMITERS) (words || FFaker::Lorem.words(2).join(' ')).gsub(' ', glue).downcase end end end ffaker-2.8.1/lib/ffaker/healthcare_ipsum.rb0000644000004100000410000000044213233715167020666 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/lorem' module FFaker module HealthcareIpsum include Lorem extend ModuleUtils extend self def word fetch_sample(HEALTHCARE_WORDS) end def words(num = 3) fetch_sample(HEALTHCARE_WORDS, count: num) end end end ffaker-2.8.1/lib/ffaker/phone_number.rb0000644000004100000410000000623713233715167020042 0ustar www-datawww-data# encoding: utf-8 module FFaker module PhoneNumber extend ModuleUtils extend self def phone_number FFaker.numerify case rand(0..19) when 0 then "#{area_code}-#{exchange_code}-#### x#####" when 1 then "#{area_code}-#{exchange_code}-#### x####" when 2 then "#{area_code}-#{exchange_code}-#### x###" when 3..4 then "#{area_code}-#{exchange_code}-####" when 5 then "#{area_code}.#{exchange_code}.#### x#####" when 6 then "#{area_code}.#{exchange_code}.#### x####" when 7 then "#{area_code}.#{exchange_code}.#### x###" when 8..9 then "#{area_code}.#{exchange_code}.####" when 10 then "(#{area_code})#{exchange_code}-#### x#####" when 11 then "(#{area_code})#{exchange_code}-#### x####" when 12 then "(#{area_code})#{exchange_code}-#### x###" when 13..14 then "(#{area_code})#{exchange_code}-####" when 15 then "1-#{area_code}-#{exchange_code}-#### x#####" when 16 then "1-#{area_code}-#{exchange_code}-#### x####" when 17 then "1-#{area_code}-#{exchange_code}-#### x###" when 18..19 then "1-#{area_code}-#{exchange_code}-####" end end def area_code # The North American Numbering Plan (NANP) does not permit the digits 0 # and 1 as the leading digit of an area code. # https://en.wikipedia.org/wiki/List_of_North_American_Numbering_Plan_area_codes loop do rand_area_code = rand(201..999) return rand_area_code unless rand_area_code % 100 == 11 end end def exchange_code # The North American Numbering Plan (NANP) does not permit the digits 0 # and 1 as the leading digit of the exchange code. # https://en.wikipedia.org/wiki/North_American_Numbering_Plan#Numbering_system area_code end def short_phone_number FFaker.numerify("#{area_code}-#{exchange_code}-####") end def phone_calling_code fetch_sample(PHONE_CALLING_CODE) end def imei(serial_number = nil) # IMEI Format: # AA-BBBBBB-CCCCCC-D characters = Array.new(15, 0) rbi_codes = %w[01 10 30 33 35 44 45 49 50 51 52 53 54 86 91 98 99] serial_number ||= rand(0...1_000_000) serial_number = format('%06d', serial_number).chars.map(&:to_i) first_two_chars = fetch_sample(rbi_codes) characters[0, 2] = first_two_chars.chars.map(&:to_i) # serial number part 2.upto(7) do |current_position| characters[current_position] = fetch_sample((0..9).to_a) end 8.upto(13) do |current_position| characters[current_position] = serial_number[current_position - 8] end current_checksum = characters.reverse.each_with_index.inject(0) do |sum, (digit, i)| digit *= 2 if i.odd? digit -= 9 if digit > 9 sum + digit end final_digit = (10 - (current_checksum % 10)) % 10 characters[14] = final_digit characters.join end end end ffaker-2.8.1/lib/ffaker/geolocation.rb0000644000004100000410000000602313233715167017655 0ustar www-datawww-data# encoding: utf-8 module FFaker module Geolocation extend ModuleUtils extend self def lat fetch_sample(LATLNG)[0] end def lng fetch_sample(LATLNG)[1] end LATLNG = [ [41.022921, -73.667595], [41.017643, -73.769264], [40.89505, -73.83582], [41.018461, -73.66616], [40.6665875097692, -73.8830092325694], [40.6784867492198, -73.9716387729985], [40.5998084142575, -73.9385565185842], [40.6175673160943, -74.0002511295821], [40.7451545655034, -73.971855164776], [40.7143394939935, -73.9783896644132], [40.7916523500249, -73.9693478828185], [40.8005590858048, -73.9473684707957], [40.7292057951864, -73.7555431517841], [40.7532199291845, -73.8842977517553], [40.7490546706085, -73.9187706945134], [40.6609944585817, -73.8454648940358], [38.9962071932467, -77.0898681997577], [38.9614005154765, -77.0739996811784], [38.9381545320739, -77.0656875352079], [39.0788984258721, -77.0500853418371], [40.8377346033077, -73.8618025934729], [40.8377346033077, -73.8618025934729], [40.8831107806302, -73.9212453413708], [40.9077802515069, -73.9025768857695], [36.1936372347, -115.068968492], [36.2345447488, -115.327274645], [36.1257785585, -115.08848819], [36.0150030591, -115.120716573], [41.5205, -81.587], [41.491529, -81.611008], [41.4811, -81.9136], [41.5244, -81.5531], [38.5241394042969, -90.3121643066406], [38.4685363769531, -90.3760452270508], [38.7077140808105, -90.2698593139648], [38.7953453063965, -90.2058792114258], [33.5775667696072, -112.21954995412], [33.4136301699617, -112.605812600303], [33.3732084677927, -111.602125919385], [33.4280828890754, -112.496547310057], [40.0677174866262, -75.0764604391247], [39.9760149034563, -75.1786003814711], [39.9871631180866, -75.1862338204704], [39.9847861520773, -75.110396933127], [26.1180992126465, -80.149299621582], [25.4804286236799, -80.4256357381565], [26.1793003082275, -80.1410980224609], [26.5322723388672, -80.1300048828125], [47.685714288367, -122.340967372417], [47.6993431274679, -122.395610510952], [47.7553943974153, -122.305764516646], [47.5173276931226, -122.275152683751], [40.78595, -73.196244], [40.927955, -73.048076], [41.022872, -72.204989], [40.855153, -72.572405], [34.101011924908, -118.064638782714], [34.2430955947492, -118.427610513239], [34.3823767402857, -118.550562688364], [33.8256050190507, -118.281161297494], [37.5758033375583, -122.012044535507], [37.8768587606888, -122.078250641083], [37.6859990796181, -122.094516147761], [37.4660979087165, -121.900873639257], [41.77117, -87.888795], [41.900425, -87.624262], [41.737173, -87.869998] ].freeze def boxed_coords(upper_left, lower_right) latitude_range = [upper_left[0], lower_right[0]].sort longitude_range = [upper_left[1], lower_right[1]].sort latitude = latitude_range[0] + rand * (latitude_range[1] - latitude_range[0]) longitude = longitude_range[0] + rand * (longitude_range[1] - longitude_range[0]) [latitude, longitude] end end end ffaker-2.8.1/lib/ffaker/nato_alphabet.rb0000644000004100000410000000167013233715167020156 0ustar www-datawww-data# encoding: utf-8 module FFaker module NatoAlphabet extend ModuleUtils extend self ALPHABET_CODES = %w[ALPHA BRAVO CHARLIE DELTA ECHO FOXTROT GOLF HOTEL INDIA JULIETT KILO LIMA MIKE NOVEMBER OSCAR PAPA QUEBEC ROMEO SIERRA TANGO UNIFORM VICTOR WHISKEY XRAY YANKEE ZULU].freeze NUMERIC_CODES = %w[ONE TWO THREE FOUR FIVE SIX SEVEN EIGHT NINE ZERO].freeze STOP_CODE = 'STOP'.freeze CODES = ALPHABET_CODES + NUMERIC_CODES + [STOP_CODE] def code fetch_sample(CODES) end def alphabetic_code fetch_sample(ALPHABET_CODES) end def numeric_code fetch_sample(NUMERIC_CODES) end def callsign codify('?-?-#') end def codify(masks) masks.scan(/./).map do |c| case c when '#' then fetch_sample(NUMERIC_CODES) when '?' then fetch_sample(ALPHABET_CODES) when '.' then STOP_CODE else c end end.join end end end ffaker-2.8.1/lib/ffaker/name_ph.rb0000644000004100000410000000103713233715167016761 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/name' module FFaker # Philippine names based on http://en.wikipedia.org/wiki/Philippine_name module NamePH include FFaker::Name extend ModuleUtils extend self def last_name case rand(0..1) when 0 then fetch_sample(AUTOCHTHONOUS_SURNAMES) else fetch_sample(SPANISH_SURNAMES) end end def name case rand(0..8) when 0 then "#{prefix} #{first_name} #{last_name}" else "#{first_name} #{last_name}" end end end end ffaker-2.8.1/lib/ffaker/address_kr.rb0000644000004100000410000000502313233715167017472 0ustar www-datawww-data# encoding: utf-8 # frozen_string_literal: true module FFaker module AddressKR extend ModuleUtils extend self BUILDING_DONGS = %w[가 나 다 라 마 바 ## ###].freeze BUILDING_SUFFIXES = %w[빌라 아파트 연립 마을 타운 타워].freeze STREET_SUFFIXES = %w[로 #로 가 #가 거리 길].freeze TOWN_SUFFIXES = %w[동 리 마을].freeze METROPOLITAN_CITIES = %w[서울특별시 부산광역시 대구광역시 인천광역시 광주광역시 대전광역시 울산광역시 세종특별자치시].freeze PROVINCES = %w[경기도 강원도 충청북도 충청남도 전라북도 전라남도 경상북도 경상남도 제주특별자치도].freeze def postal_code FFaker.numerify('#####') end def old_postal_code FFaker.numerify('###-###') end def road_addess fetch_sample([ "#{metropolitan_city} #{borough} #{street}", "#{province} #{town} #{street}", "#{metropolitan_city} #{borough} #{street} (#{town})", "#{province} #{town} #{street} (#{town})" ]) end def land_address fetch_sample([ "#{metropolitan_city} #{borough} #{town} #{land_number}", "#{province} #{town} #{land_number}" ]) end def land_number FFaker.numerify(fetch_sample([ '###', '###-#', '###-##', '####', '####-#' ])) end def building_name "#{NameKR.first_name}#{fetch_sample(BUILDING_SUFFIXES)}" end def address_detail FFaker.numerify(fetch_sample([ building_name, "#{building_name} ###호", "#{building_name} #{fetch_sample(BUILDING_DONGS)} ###호" ])) end def street FFaker.numerify("#{NameKR.first_name}#{fetch_sample(STREET_SUFFIXES)}") end def town "#{NameKR.first_name}#{fetch_sample(TOWN_SUFFIXES)}" end def borough fetch_sample(BOROUGHS) end def city fetch_sample(CITIES) end def province fetch_sample(PROVINCES) end def metropolitan_city fetch_sample(METROPOLITAN_CITIES) end end end ffaker-2.8.1/lib/ffaker/boolean.rb0000644000004100000410000000037013233715167016770 0ustar www-datawww-data# encoding: utf-8 module FFaker module Boolean extend ModuleUtils extend self def maybe case rand(0..1) when 0 then true when 1 then false end end alias random maybe alias sample maybe end end ffaker-2.8.1/lib/ffaker/address_gr.rb0000644000004100000410000000123013233715167017462 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address' module FFaker module AddressGR include FFaker::Address extend ModuleUtils extend self STREET_PREFIX = [%w[Οδός Πάροδος]].freeze STREET_NUMBER = [%w[# ## ###]].freeze STATE = REGION def zip_code FFaker.numerify '#####' end def region fetch_sample(STATE) end def city fetch_sample(CITY) end def street_name fetch_sample(STREET) end def street_nbr FFaker.numerify(fetch_sample(STREET_NUMBER)) end def street_address "#{fetch_sample(STREET_PREFIX)} #{street_name}, #{street_nbr}" end end end ffaker-2.8.1/lib/ffaker/gender_cn.rb0000644000004100000410000000035213233715167017275 0ustar www-datawww-data# encoding: utf-8 module FFaker module GenderCN extend ModuleUtils extend self GENDERS = %w[男 女].freeze def random fetch_sample(GENDERS) end alias maybe random alias sample random end end ffaker-2.8.1/lib/ffaker/internet.rb0000644000004100000410000000465313233715167017211 0ustar www-datawww-data# encoding: utf-8 module FFaker module Internet extend ModuleUtils extend self BYTE = [*'0'..'255'].freeze HOSTS = %w[gmail.com yahoo.com hotmail.com].freeze DISPOSABLE_HOSTS = %w[mailinator.com suremail.info spamherelots.com binkmail.com safetymail.info].freeze DOMAIN_SUFFIXES = %w[co.uk com us ca biz info name].freeze SAFE_DOMAIN_SUFFIXES = %w[org com net].freeze SLUG_DELIMITERS = %w[- _ .].freeze MAC_LIMIT = 281_474_976_710_655 def email(name = nil) [user_name(name), domain_name].join('@') end # returns an email address of an online disposable email service (like tempinbox.com). # you can really send an email to these addresses an access it by going to the service web pages. def disposable_email(name = nil) [user_name(name), fetch_sample(DISPOSABLE_HOSTS)].join('@') end def free_email(name = nil) "#{user_name(name)}@#{fetch_sample(HOSTS)}" end def safe_email(name = nil) "#{user_name(name)}@example.#{fetch_sample(SAFE_DOMAIN_SUFFIXES)}" end def user_name(name = nil) if name parts = shuffle(name.scan(/\w+/)).join(fetch_sample(%w[. _])) parts.downcase else case rand(0..1) when 0 sanitize(Name.first_name) when 1 [Name.first_name, Name.last_name].map { |n| sanitize(n) }.join(fetch_sample(%w[. _])) end end end def domain_name "#{domain_word}.#{domain_suffix}" end def domain_word dw = Company.name.split(' ').first dw.gsub!(/\W/, '') dw.downcase! dw end def domain_suffix fetch_sample(DOMAIN_SUFFIXES) end def uri(protocol) "#{protocol}://#{domain_name}" end def http_url uri('http') end def ip_v4_address (1..4).map { fetch_sample(BYTE) }.join('.') end def slug(words = nil, glue = nil) words ||= Lorem.words(2).join(' ') glue ||= fetch_sample(SLUG_DELIMITERS) words.downcase.gsub(/[^a-z0-9]+/, glue) end def password(min_length = 8, max_length = 16) length = min_length > max_length ? min_length : fetch_sample([*min_length..max_length]) String.from_regexp(/\w{#{length}}/) end def mac(delimiter = ':') rand(0...MAC_LIMIT).to_s(16).rjust(12, '0').scan(/.{2}/).join(delimiter) end private def sanitize(string) string.gsub(/\W/, '').downcase end end end ffaker-2.8.1/lib/ffaker/address_id.rb0000644000004100000410000000114113233715167017447 0ustar www-datawww-data# frozen_string_literal: true # encoding: utf-8 require 'ffaker/address' module FFaker module AddressID include FFaker::Address extend ModuleUtils extend self STREET_PREFIX = %w[Jl Jln].freeze def zip_code FFaker.numerify '#####' end def state fetch_sample(STATE) end def state_abbr fetch_sample(STATE_ABBR) end def city fetch_sample(CITY) end def street_prefix fetch_sample(STREET_PREFIX) end def street "#{street_prefix}. #{fetch_sample(COMMON_STREET_NAMES)}, No. #{rand(1..100)}" end end end ffaker-2.8.1/lib/ffaker/name_ru.rb0000644000004100000410000007162013233715167017005 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/name' module FFaker module NameRU include FFaker::Name extend ModuleUtils extend self # Last names grammar LAST_NAMES = { male: %w[Абарун Абишев Авсюк Агаянц Адрющенков Азаркович Айзатуллов Акуненков Алабян Алвердашвили Алегин Александрович Андоловский Андрушко Анзимиров Анисимович Анпилов Аредьев Арихин Артыкнаев Артюнов Асикайнен Ахагинский Ахмедзянов Ахундзянов Ачамович Аширметов Багникян Бадашков Баздорев Базяев Балабанцев Балдихин Барчунов Бахалдин Бахонов Бачко Безин Беккерман Белоусов Бельцев Берберян Бернштейн Бессалов Биневич Бирюченко Битлер Благородов Блазнин Бойко Бордовкин Борисов Борсаков Браговский Бретнев Бричко Брыжахин Буженков Буртняк Бучников Ваиренко Васющенков Вердиянин Вирютин Воликов Волнаков Втонов Выдрич Выпирайлов Гайдашев Галабцев Ганецкий Гарбко Гарьковец Гасымов Гбидеров Гваськов Георгадзе Геркин Герливанов Гидаспов Гилюк Гладырин Глудман Глуздак Голанджан Головашеч Голынков Голяновский Гостюшин Гревизирский Грибоедов Гридасов Грустнев Губенский Гудолевич Давлетинин Денежко Джиджаев Дзеярский Долганов Долганюк Долгарев Дробуш Дружиненко Дружинкин Дымонт Дышев Евгенев Елепский Енанешников Еременко Ефимовцев Жеребченко Жутаев Забарный Загуменников Зарубенко Засенко Зашбахидзе Зворыкин Зиманенков Зубоедов Иванкович Иванковский Иванов Ивлюшин Избищев Кавин Казинец Калацкий Калуженко Камгатных Камзин Каракулян Карапай Карнацкий Карнеичев Карпышев Картманов Карцевадзе Кафтаев Кафтан Квалиашвили Квашихин Кендалиев Кирилко Климкевич Климнюк Ключенович Кобидзе Колюковский Коргутов Корленко Корлов Коробцов Коротько Корсов Кособок Коювский Крутилин Крышко Куварихин Кузьмин Купецкий Куприн Купцин Купырин Кустарников Кутиев Кухтов Кушнырь Кылосов Лабушкин Лагутаев Лагуткин Лапатиев Ларенцев Латьенов Лашевич Летшов Лечбинский Лизлов Лиштван Ловчев Ломашевич Лопонос Лотев Луговенко Ляховенко Магаметшапиев Майоров Маконько Малишевский Мамычкин Манукиан Маракшаев Марудин Марульский Маслов Матиас Матьязов Матюшкин Машурик Медведев Медвежинский Медянский Мелюшкин Мендусов Меринсон Милославов Мирошничев Мирсианов Митракович Михайлов Михитарян Михлин Мильцын Мицин Можелев Мокроус Мольвинских Монин Морадудин Моренов Мугрузин Мухаматкуров Мухляев Муюнин Наххомов Невкин Нежальский Немченинов Никоноркин Ободкин Огуркис Одокий Озепов Оковаиков Олышев Олянюк Оршаковский Остроухих Ошков Паникин Панкрушкин Паперко Пахолюк Петров Перевезев Перчуков Пидоренко Пилинский Пилищек Пипачук Пистоленко Плосконовов Подлесов Подорожний Покорчак Поладашвили Поликанин Померанцев Понченко Поскокухин Прутян Пунтиков Пусташев Пяртель Разночинцев Раслеков Рахленко Рахматуллин Ребекин Ревельский Редозубов Решетнев Римач Ройзнер Романов Рубель Руховец Сагоманян Садосюк Салошенко Сальккев Самоделко Сейсенбаев Сейтбаталов Селиончик Селуков Селюненок Семченков Серебрюхов Сидоров Скалецкий Скиженюк Скоробацкий Скрынько Слабчук Слежиков Смолянов Сморгунов Смутко Соколецкий Солонюк Старжин Страсс Стрекосов Струсов Студитских Суровкин Сченснович Сытясков Табалов Табахьян Таболов Тажвицкий Такиди Таротько Таутов Твердислов Тишайкин Ткачман Толманов Томинов Тонетов Тончиенко Топорников Торгоев Требунских Трилешинский Тряпичников Турзин Туровник Тутаров Тутейкин Тчанников Тяпко Уалентов Убкосмачев Удобников Усамединов Устилко Устькачинцев Ушахин Фалушкин Фараонов Фарбовский Фаридун Филатиков Фимошин Французов Фумич Хайтов Ханадьян Ханыгин Харехин Харламович Хволес Хитайленко Хлопонин Ходокович Хорохорин Хотунцов Цебаньков Цейнер Цепюк Чакириди Чебышов Челокян Чингузов Чипурных Чокашвили Чугров Чудных Чудоров Чумин Шабалдин Шаблин Шавердьян Шаленок Шарыпов Шеварев Шеняк Шестоперстов Шипенко Шиповсков Шкарев Шмырков Штенников Штиков Щепоков Щепотько Щептев Эдилов Элашвили Этерман Эчин Юрнев Яиченко Якишин Янович], female: %w[Абашникова Авекирова Агапчева Агенкова Агиева Айварова Айнутдинова Алежетдинова Алейкберова Алекперова Алимзанова Альбеева Альпатцева Андреева Аникинина Аниковская Анучкина Арисанова Арлачева Арлушкина Архангелова Астраханкина Афелова Ахилова Ачаповская Бабайцева Бабракова Байдарова Балаганина Балаганова Балдынова Баловинова Балышкина Барановская Баргугова Бардебанова Барьзева Батраева Бахшнева Бейзерова Бекмементьева Белдина Белункова Беляськова Бесова Бессчетнова Благодирова Блоха Блющицина Бобурова Богинина Болсова Бородина Босторина Брынцалова Брысковская Бубикова Бузулицкая Букаринова Булинова Бутонина Буханцова Бушевская Бушкетова Валиновская Вахрова Вахтеева Вейдова Великонская Великоруссова Венидиктова Венскова Вергилесова Верютина Ветродуева Видишева Войцеховская Волочаева Воронихина Воронянская Ворсобина Вострячкова Всеволодовская Выходова Галочкина Гарылева Гедгафова Герлова Глубокова Голованева Голодовая Голумбокова Гончаровская Гоньшева Городянская Горченкова Готавская Грабильникова Грацилева Грешищева Грешнякова Гржимальская Гузаева Гулипова Гульбинская Дашкова Деваева Декабрева Додырева Дочевская Дояматова Дубковская Думинская Дурдыева Евдашкина Евстиженкова Евтина Едомская Елецкая Елешенкова Епутаева Железная Жестякова Жилкова Забиралова Завершиева Загустина Закомоядина Закоурцева Залозная Заломаева Замарина Зановская Занцинская Занючковская Звездочкина Звержинская Зиядтдинова Зущина Иванова Ивашкива Иволга Иголкина Иднатуллина Икеряева Инелеева Иренкова Исраилова Иусова Ишинкина Кабичева Кавизина Каипова Калиновская Калинушкина Каменцева Камозина Камышкина Каннина Канькова Караульщикова Карачевская Карнилина Карпежникова Карягина Кашарова Кирилычева Кирюшенкова Клабукова Кобзина Коверенская Ковткова Когорева Козюрина Колотыркина Колушкина Комзелева Комзнкова Комитуркина Комкина Кориневская Корнюкина Корпушева Косарская Косьминина Котичева Котусева Кохтарева Кравская Кудряванова Кужненкова Куковицкая Кулакина Куличенкова Кунижева Куранчева Курепова Курлнская Курнашова Курнекова Курносенкова Курсантова Кусалова Кусачева Кутубаева Кучминская Лазова Ланятина Лашова Левенцова Лейзбовская Лепатецкая Летунова Лиходумова Локтеева Локутанская Лутавина Лушева Лынская Мазовская Малисова Малихникова Малкершина Малунеева Мамушина Манишева Манновеева Маносипова Манусова Манцырева Маразова Мардарейкина Мардулатова Маримпольская Марфутова Марьичева Матиросова Мелышкова Ментусова Мефодиева Мехидева Мизюнская Микотина Микряева Милородова Мимитаева Минхазова Мирошихина Миссуловина Михайликова Миханошина Мишалина Мораева Морозовская Моссаковская Мышова Нагановская Назмиева Невская Негодаева Нелюбова Нижегородова Ноздреватова Обминская Ольштинская Ончурова Отрочева Охматовская Павпычева Паксиватова Паленычева Паницкая Паршкина Пастушкина Перевышина Перелазная Пигулова Пилипова Пирогова Плуталовская Побаруева Побеглая Погребашкина Подсадная Поленцова Полонская Польская Помутова Помыкина Портянкина Потакина Прибытскова Прошутинская Пруцкова Птумкина Пулькова Пупырникова Пырьева Рагицкая Радомская Расшивалова Рахманькова Раченская Редюшова Ретюхина Родионочева Розинькова Ротаенова Рощупкина Руженцова Рыжеукова Рябышева Саадуева Савраскина Сайгашкина Салиханова Саманкина Самолюбова Саморохова Свитушкина Северякова Сейтбаева Семидумова Сергушева Сеуткина Сивилькаева Симнова Синаборская Скарина Скирдина Смешанова Смотраева Снегова Соткина Спирькова Спифанова Сумовская Сухаручкина Талалуева Талпыкина Таратученкова Тарачакова Тахторова Тенцова Тенькова Терентьева Техтина Тимокова Тихановская Товкуева Тогобицкая Толстикова Торгашева Торченкова Трубинкова Тугаринова Тулаева Турбатова Турлакова Туфанова Тюлева Тюликова Тютюнова Тюцкая Тюшина Ульданова Фаворская Фанасова Фаркова Фатищева Фатнева Филихина Фильштинская Фогенкова Фонанова Фругина Хабайлова Холмогорова Хамбикова Харламкина Хваловская Хлямова Хрусткова Цатурова Цивкина Цымбаева Чабаева Чебиева Чегрова Челейкина Чельднева Ченурина Черноиванова Чертова Черторыгина Четверткова Чигирижская Чичеткина Чичиркоза Чучкина Шадилова Шанина Шановая Шапатина Шаюнова Шаяхметова Шебакина Шедрина Шечковская Шикалева Шишаева Шишкова Шияновская Шпикова Шувашова Шуганикова Шумакова Шумялева Шумятьева Щепеникова Щиконикова Якиманская Яночкина] }.freeze # First names grammar FIRST_NAMES = { male: %w[Абрам Август Адольф Аким Александр Алексей Альберт Альфред Анатолий Андрей Антон Аристарх Аркадий Арнольд Арсен Артем Артемий Артур Аскольд Афанасий Ахмет Бенедикт Богдан Болеслав Борис Борислав Бронислав Вадим Валентин Валерий Василий Венедикт Вениамин Виктор Вильгельм Виталий Владимир Владислав Всеволод Вячеслав Гавриил Геннадий Генрих Георгий Герасим Герман Глеб Григорий Давыд Даниил Демид Денис Дмитрий Евгений Евдоким Егор Емельян Ермолай Ефим Жорж Захар Зиновий Ибрагим Иван Игорь Илларион Илья Иннокентий Иосиф Ираклий Карл Кирилл Константин Кузьма Лазарь Лев Леонид Леонтий Макар Максим Максимилиан Марат Марк Матвей Мирослав Михаил Модест Мурат Никита Николай Олег Осип Оскар Павел Петр Прохор Ринат Родион Ролан Роман Ростислав Рудольф Руслан Рустам Савва Святослав Севастьян Семен Сергей Спартак Станислав Степан Тарас Терентий Тимофей Тимур Федор Феликс Филипп Эдуард Эльдар Эммануил Эрик Эрнест Юлиан Юрий Яков Ян Ярослав], female: %w[Аврора Агнесса Агния Алевтина Александра Алёна Алина Алиса Алла Альбина Амелия Анастасия Ангелина Анжела Анна Антонина Анфиса Арина Ася Белла Берта Борислава Бронислава Валентина Валерия Ванда Варвара Василиса Венера Вера Вероника Виктория Виолетта Владислава Галина Генриетта Георгина Глафира Дана Даниэла Дарина Дарья Диана Дина Динара Доминика Ева Евгения Евдокия Екатерина Елена Елизавета Жанна Земфира Зинаида Злата Зоя Изабелла Изольда Инга Инесса Инна Ираида Ирина Ирма Ия Калерия Камилла Карина Каролина Кира Клавдия Клара Кристина Ксения Лада Лариса Леся Лидия Лилия Лина Лия Любовь Людмила Майя Маргарита Марианна Марина Мария Марта Марьяна Милена Моника Надежда Наталья Ника Нина Нонна Оксана Олеся Ольга Полина Рада Раиса Регина Рената Роза Роксана Руслана Сабина Светлана Сильва Снежана Софья Станислава Стелла Таисия Тамара Татьяна Тереза Ульяна Фаина Эдита Элла Эльвира Эльза Юлия Яна Ярослава] }.freeze # Patronymics grammar PATRONYMICS = { male: %w[Абрамович Августович Авдеевич Адамович Адольфович Адрианович Акимович Александрович Алексеевич Альбертович Альфредович Анатольевич Андреевич Антонович Ануфриевич Арамович Ариевич Аристархович Аркадиевич Арнольдович Аронович Арсенович Артемович Артемиевич Артурович Аскольдович Афанасиевич Ахметович Ашотович Бенедиктович Бернарович Богданович Болеславович Бонифациевич Борисович Бориславович Брониславович Вадимович Валентинович Валерьевич Вальтерович Васильевич Велорович Венедиктович Вениаминович Викторович Вильгельмович Виссарионович Витальевич Владимирович Владиславович Вольдемарович Всеволодович Вячеславович Гавриилович Геннадьевич Генрихович Георгиевич Геральдович Герасимович Германович Глебович Гордеевич Градимирович Григорьевич Гурьевич Давыдович Даниилович Демидович Демьянович Денисович Дмитриевич Донатович Дорофеевич Евгеньевич Евдокимович Евстафьевич Егорович Елисеевич Емельянович Ермолаевич Ерофеевич Ефимович Ефремович Захарович Зигмундович Зиновьевич Ибрагимович Иванович Игнатович Игоревич Измаилович Израилевич Илларионович Иннокентиевич Ионович Иосифович Ираклиевич Исаевич Казимирович Каренович Карлович Кириллович Клавдиевич Клементович Климович Кондратович Конкордиевич Константинович Лазариевич Львович Леванович Леонардович Леонидович Леонтьевич Леопольдович Любомирович Людвигович Макарович Максимович Максимилианович Маратович Марианович Маркович Мартинович Матвеевич Мерабович Мечеславович Миронович Мирославович Михайлович Модестович Моисеевич Муратович Назарович Натанович Наумович Никитович Никифорович Николаевич Никонович Нисонович Нифонтович Олегович Онисимович Орестович Осипович Оскарович Павлович Парамонович Петрович Платонович Прохорович Рафикович Рашидович Ринатович Ричардович Робертович Родионович Роланович Романович Ростиславович Рубенович Рудольфович Русланович Рустамович Самсонович Святославович Севастьянович Семенович Серафимович Сергеевич Соломонович Спартакович Станиславович Степанович Стоянович Тамазович Тарасович Теодорович Терентьевич Тигранович Тимофеевич Тимурович Титович Тихонович Трифонович Трофимович Устинович Федорович Феликсович Феодосьевич Филимонович Филиппович Фридрихович Харитонович Христианович Христофорович Эдуардович Эльдарович Эмилевич Эммануилович Эрикович Эрнестович Юлианович Юрьевич Якимович Янович Ярославович], female: %w[Абрамовна Августовна Авдеевна Адамовна Адольфовна Адриановна Акимовна Александровна Алексеевна Альбертовна Альфредовна Анатольевна Андреевна Антоновна Ануфриевна Арамовна Ариевна Аристарховна Аркадиевна Арнольдовна Ароновна Арсеновна Артемовна Артемьевна Артуровна Аскольдовна Афанасьевна Ахметовна Ашотовна Бенедиктовна Бернаровна Богдановна Болеславовна Бонифациевна Борисовна Бориславовна Брониславовна Вадимовна Валентиновна Валерьевна Вальтеровна Васильевна Велоровна Венедиктовна Вениаминовна Викторовна Вильгельмовна Виссарионовна Витальевна Владимировна Владиславовна Вольдемаровна Всеволодовна Вячеславовна Гаврииловна Геннадьевна Генриховна Георгиевна Геральдовна Герасимовна Германовна Глебовна Гордеевна Градимировна Григорьевна Гурьевна Давыдовна Данииловна Демидовна Демьяновна Денисовна Дмитриевна Донатовна Дорофеевна Евгеньевна Евдокимовна Евстафьевна Егоровна Елисеевна Емельяновна Ермолаевна Ерофеевна Ефимовна Ефремовна Захаровна Зигмундовна Зиновьевна Ибрагимовна Ивановна Игнатовна Игоревна Измаиловна Израилевна Илларионовна Иннокентиевна Ионовна Иосифовна Ираклиевна Исаевна Казимировна Кареновна Карловна Кирилловна Клавдиевна Клементовна Климовна Кондратьевна Конкордиевна Константиновна Лазарьевна Львовна Левановна Леонардовна Леонидовна Леонтьевна Леопольдовна Любомировна Людвиговна Макаровна Максимовна Максимилиановна Маратовна Мариановна Марковна Мартиновна Матвеевна Мерабовна Мечеславовна Мироновна Мирославовна Михайловна Модестовна Моисеевна Муратовна Назаровна Натановна Наумовна Никитовна Никифоровна Николаевна Никоновна Нисоновна Нифонтовна Олеговна Онисимовна Орестовна Осиповна Оскаровна Павловна Парамоновна Петровна Платоновна Прохоровна Рафиковна Рашидовна Ринатовна Ричардовна Робертовна Родионовна Ролановна Романовна Ростиславовна Рубеновна Рудольфовна Руслановна Рустамовна Самсоновна Святославовна Севастьяновна Семеновна Серафимовна Сергеевна Соломоновна Спартаковна Станиславовна Степановна Стояновна Тамазовна Тарасовна Теодоровна Терентьевна Тиграновна Тимофеевна Тимуровна Титовна Тихоновна Трифоновна Трофимовна Устиновна Федоровна Феликсовна Феодосьевна Филимоновна Филипповна Фридриховна Харитоновна Христиановна Христофоровна Эдуардовна Эльдаровна Эмилевна Эммануиловна Эриковна Эрнестовна Юлиановна Юрьевна Якимовна Яновна Ярославовна] }.freeze GENDERS = %i[male female random].freeze # :nodoc: # All names generated inside the block will have the same sex. # Can be called with explicit sex which will affect # all calls inside thee block: # # FFaker::NameRU.with_same_sex(:male) do # person.last_name = FFaker::NameRU.last_name # person.first_name = FFaker::NameRU.first_name # person.patronymic = FFaker::NameRU.patronymic # end # # person.last_name # => "Иванов" # person.first_name # => "Александр" # person.patronymic # => "Петрович" def with_same_sex(sex = :random) @fixed_sex = sex == :random ? GENDERS[rand(0..1)] : sex yield ensure @fixed_sex = nil end # Generates random full name which can contain patronymic # Can be called with explicit sex (:male, :female), like: # # FFaker::NameRU.name(:male) # # for_sex defaults to :random. def name(for_sex = :random) with_same_sex(for_sex) do case rand(0..1) when 0 then "#{last_name} #{first_name} #{patronymic}" else "#{first_name} #{last_name}" end end end # Generates random last name # for_sex can be :male, :female. Defaults to :random def last_name(for_sex = :random) fetch_sample(LAST_NAMES[select_sex(for_sex)]) end # Generates random first name # for_sex can be :male, :female. Defaults to :random def first_name(for_sex = :random) fetch_sample(FIRST_NAMES[select_sex(for_sex)]) end # Generates random patronymic # for_sex can be :male, :female. Defaults to :random def patronymic(for_sex = :random) fetch_sample(PATRONYMICS[select_sex(for_sex)]) end private def select_sex(sex) # :nodoc: @fixed_sex ||= nil given_sex = @fixed_sex || sex raise ArgumentError, "Unknown sex #{given_sex}" \ unless GENDERS.include?(given_sex) given_sex == :random ? GENDERS[rand(0..1)] : given_sex end end end ffaker-2.8.1/lib/ffaker/name_gr.rb0000644000004100000410000000250313233715167016761 0ustar www-datawww-data# encoding: utf-8 module FFaker # Author AntonyFalegkos github.com/falegk module NameGR extend ModuleUtils extend self # Random full name (male or female). Arguments :male, :female, :any def full_name(gender = :any) case gender when :any then rand(0..1) == 0 ? male_full_name : female_full_name when :male then male_full_name when :female then female_full_name else raise ArgumentError, 'Invalid gender, must be one of :any, :male, :female' end end alias name full_name # Random last name (male or female) def last_name case rand(0..1) when 0 then male_last_name when 1 then female_last_name end end # Random first name (male or female) def first_name case rand(0..1) when 0 then male_first_name when 1 then female_first_name end end def male_full_name "#{male_first_name} #{male_last_name}" end def female_full_name "#{female_first_name} #{female_last_name}" end def male_first_name fetch_sample(MALE_FIRST_NAMES) end def male_last_name fetch_sample(MALE_LAST_NAMES) end def female_first_name fetch_sample(FEMALE_FIRST_NAMES) end def female_last_name fetch_sample(FEMALE_LAST_NAMES) end end end ffaker-2.8.1/lib/ffaker/job_fr.rb0000644000004100000410000000060713233715167016615 0ustar www-datawww-data# encoding: UTF-8 module FFaker module JobFR extend ModuleUtils extend self JOB_ADJECTIVES = %w[general adjoint associé].freeze def title if rand(0..1).zero? "#{fetch_sample(JOB_PREFIXES)} #{fetch_sample(JOB_ADJECTIVES)} #{fetch_sample(JOB_NOUNS)}" else "#{fetch_sample(JOB_PREFIXES)} #{fetch_sample(JOB_NOUNS)}" end end end end ffaker-2.8.1/lib/ffaker/name_fr.rb0000644000004100000410000000141013233715167016754 0ustar www-datawww-data# encoding: utf-8 module FFaker # Author PapePathe github.com/PapePathe # The names & first names in this module were found at this url # https://github.com/fzaninotto/Faker/blob/master/src/Faker/Provider/fr_FR/Person.php module NameFR extend ModuleUtils extend self PREFIX = %w[de du le].freeze # randomized? (FRENCH) prefix! # def prefix fetch_sample(PREFIX) end def last_name fetch_sample(LAST_NAMES) end def first_name fetch_sample(FIRST_NAMES) end def name case rand(0..9) when 7 then "#{first_name} #{prefix} #{last_name}" when 5 then "#{first_name} #{prefix} #{last_name}" else "#{first_name} #{last_name}" end end end end ffaker-2.8.1/lib/ffaker/name_br.rb0000644000004100000410000000217013233715167016754 0ustar www-datawww-data# encoding: utf-8 module FFaker module NameBR extend ModuleUtils extend self MALE_PREFIXES = %w[Sr.].freeze FEMALE_PREFIXES = %w[Sra. Srta.].freeze PREFIXES = (MALE_PREFIXES + FEMALE_PREFIXES).freeze FIRST_NAMES = (FIRST_NAMES_FEMALE + FIRST_NAMES_MALE).freeze def name "#{first_name} #{last_name}" end def name_with_prefix fetch_sample( [ female_name_with_prefix, male_name_with_prefix ] ) end def female_name_with_prefix "#{female_prefix} #{first_name_female} #{last_name}" end def male_name_with_prefix "#{male_prefix} #{first_name_male} #{last_name}" end def first_name fetch_sample(FIRST_NAMES) end def first_name_female fetch_sample(FIRST_NAMES_FEMALE) end def first_name_male fetch_sample(FIRST_NAMES_MALE) end def last_name fetch_sample(LAST_NAMES) end def prefix fetch_sample(PREFIXES) end def female_prefix fetch_sample(FEMALE_PREFIXES) end def male_prefix fetch_sample(MALE_PREFIXES) end end end ffaker-2.8.1/lib/ffaker/address_pl.rb0000644000004100000410000000372713233715167017502 0ustar www-datawww-data# encoding: UTF-8 # frozen_string_literal: true module FFaker # Author Walerian Sobczak github.com/walerian777 # Inspirations: # TERYT registry, available at: http://www.stat.gov.pl/broker/access/index.jspa module AddressPL extend ModuleUtils extend self STREET_PREFIXES = %w[al. ul.].freeze SQUARE_PREFIXES = %w[bulwar pasaż plac skwer zaułek].freeze # Full Polish address with country name in French (according to Universal Postal Union). def full_address(include_country = false, include_secondary = false) address = "#{street_address(include_secondary)} #{postal_code} #{city}" address = "#{address} POLOGNE" if include_country address end def street_address(include_secondary = false) address = "#{street_name} #{building_number}" address = "#{address}#{secondary_number}" if include_secondary address end def street_name fetch_sample([street, square]) end def street "#{street_prefix} #{fetch_sample(STREET)}" end def square "#{square_prefix} #{fetch_sample(SQUARE)}" end # A voivodeship is an administrative area in Poland - a Polish equivalent of state. def voivodeship fetch_sample(VOIVODESHIP) end alias state voivodeship alias province voivodeship def voivodeship_abbr fetch_sample(VOIVODESHIP_ABBR) end def voivodeship_capital_city fetch_sample(VOIVODESHIP_CAPITAL_CITY) end def city fetch_sample(CITY) end def building_number # :nodoc: rand(1..199) end def secondary_number # :nodoc: case rand(0..1) when 0 then " m. #{building_number}" when 1 then "/#{building_number}" end end def zip_code FFaker.numerify('##-###') end alias postal_code zip_code def street_prefix fetch_sample(STREET_PREFIXES) end def square_prefix fetch_sample(SQUARE_PREFIXES) end end end ffaker-2.8.1/lib/ffaker/education.rb0000644000004100000410000000260713233715167017331 0ustar www-datawww-data# encoding: utf-8 module FFaker module Education extend ModuleUtils extend self MAJOR_ADJ = %w[Business Systems Industrial Medical Financial Marketing Political Social] + ['Human Resource'] SCHOOL_PREFIX = %w[Green South North Wind Lake Hill Lark River Red White].freeze SCHOOL_ADJ = %w[International Global Polytechnic National].freeze SCHOOL_TYPE = %w[School University College Institution Academy].freeze SCHOOL_UNI = %w[University College].freeze def degree_short "#{fetch_sample(DEGREE_SHORT_PREFIX)} in #{major}" end def degree "#{fetch_sample(DEGREE_PREFIX)} in #{major}" end def major "#{fetch_sample(MAJOR_ADJ)} #{fetch_sample(MAJOR_NOUN)}" end def school_name fetch_sample(SCHOOL_PREFIX) + fetch_sample(SCHOOL_SUFFIX) end def school_generic_name case rand(0..1) when 0 then fetch_sample(AddressUS::STATE) when 1 then school_name end end def school case rand(0..4) when 0, 1 then "#{school_name} #{fetch_sample(SCHOOL_TYPE)}" when 2 then "#{school_generic_name} #{fetch_sample(SCHOOL_ADJ)} #{fetch_sample(SCHOOL_TYPE)}" when 3 then "#{fetch_sample(SCHOOL_UNI)} of #{school_generic_name}" when 4 then "#{school_generic_name} #{fetch_sample(SCHOOL_TYPE)} of #{fetch_sample(MAJOR_NOUN)}" end end end end ffaker-2.8.1/lib/ffaker/animals.rb0000644000004100000410000000024013233715167016771 0ustar www-datawww-data# encoding: utf-8 module FFaker module Animal extend ModuleUtils extend self def common_name fetch_sample(COMMON_NAMES) end end end ffaker-2.8.1/lib/ffaker/conference.rb0000644000004100000410000000024013233715167017454 0ustar www-datawww-data# encoding: utf-8 module FFaker module Conference extend ModuleUtils extend self def name fetch_sample(CONFERENCE_LIST) end end end ffaker-2.8.1/lib/ffaker/identification_br.rb0000644000004100000410000000420613233715167021027 0ustar www-datawww-data# encoding: utf-8 module FFaker module IdentificationBR extend ModuleUtils extend self GENDERS = %w[Feminino Masculino].freeze CPF_VERIFICATION_MULTIPLIERS = [11, 10, 9, 8, 7, 6, 5, 4, 3, 2].freeze CNPJ_VERIFICATION_MULTIPLIERS = [6, 5, 4, 3, 2, 9, 8, 7, 6, 5, 4, 3, 2].freeze def cpf cpf = FFaker.numerify('#########') validators = cpf_verification_digits(cpf) cpf + validators.join end def pretty_cpf cpf_numbers = cpf format('%s.%s.%s-%s', cpf_numbers[0..2], cpf_numbers[3..5], cpf_numbers[6..8], cpf_numbers[9..10]) end def cnpj cnpj = FFaker.numerify('############') validators = cnpj_verification_digits(cnpj) cnpj + validators.join end def pretty_cnpj cnpj_numbers = cnpj.to_s.rjust(14, '0') format('%s.%s.%s/%s-%s', cnpj_numbers[0..1], cnpj_numbers[2..4], cnpj_numbers[5..7], cnpj_numbers[8..11], cnpj_numbers[12..14]) end def rg FFaker.numerify('#########') end def pretty_rg FFaker.numerify('###.###.###') end def gender fetch_sample(GENDERS) end def cpf_verification_digits(cpf) document_verification_digits(CPF_VERIFICATION_MULTIPLIERS, cpf) end def cnpj_verification_digits(cnpj) document_verification_digits(CNPJ_VERIFICATION_MULTIPLIERS, cnpj) end private def document_verification_digits(verification_multipliers, document = nil) return false if document.nil? document_digits = document.to_s.scan(/[0-9]/).map(&:to_i) validation_digits = [] if document_digits.size + 1 == verification_multipliers.size && document_digits.uniq.size > 1 0.upto(1) do |i| sum = verification_multipliers.drop(1 - i).each_with_index.inject(0) do |val, (value, j)| val + document_digits[j] * value end validation_digits[i] = (sum %= 11) < 2 ? 0 : 11 - sum document_digits.push(validation_digits[i]) end return validation_digits end [] end end end ffaker-2.8.1/lib/ffaker/lorem_fr.rb0000644000004100000410000000127213233715167017160 0ustar www-datawww-data# encoding: UTF-8 module FFaker module LoremFR extend ModuleUtils extend self def word fetch_sample(WORDS) end def words(num = 3) fetch_sample(WORDS, count: num) end def sentence(word_count = 4) s = words(word_count + rand(0..5)) s = s.join(' ') s.capitalize! "#{s}." end alias phrase sentence def sentences(sentence_count = 3) (1..sentence_count).map { sentence } end alias phrases sentences def paragraph(sentence_count = 3) sentences(sentence_count + rand(0..2)).join(' ') end def paragraphs(paragraph_count = 3) (1..paragraph_count).map { paragraph } end end end ffaker-2.8.1/lib/ffaker/lorem_cn.rb0000644000004100000410000000136013233715167017147 0ustar www-datawww-data# encoding: utf-8 module FFaker # Based on Perl's Text::Lorem module LoremCN extend ModuleUtils extend self def word fetch_sample(WORDS) end def words(num = 3) fetch_sample(WORDS, count: num) end def sentence(word_count = 4) s = words(word_count + rand(0..5)) s = s.join "#{s}," end def sentences(sentence_count = 3) s = (1..sentence_count).map { sentence } def s.to_s result = join(' ') result[-1] = '。' result end s end def paragraph(sentence_count = 3) sentences(sentence_count + rand(0..2)).to_s end def paragraphs(paragraph_count = 3) (1..paragraph_count).map { paragraph } end end end ffaker-2.8.1/lib/ffaker/youtube.rb0000644000004100000410000000053113233715167017044 0ustar www-datawww-data# encoding: utf-8 module FFaker module Youtube extend ModuleUtils extend self def url "www.youtube.com/watch?v=#{video_id}" end def share_url "youtu.be/#{video_id}" end def embed_url "www.youtube.com/embed/#{video_id}" end def video_id fetch_sample(VIDEO_IDS) end end end ffaker-2.8.1/lib/ffaker/job_kr.rb0000644000004100000410000000022613233715167016617 0ustar www-datawww-data# encoding: utf-8 module FFaker module JobKR extend ModuleUtils extend self def title fetch_sample(JOB_NOUNS) end end end ffaker-2.8.1/lib/ffaker/address_fi.rb0000644000004100000410000000203413233715167017453 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address' module FFaker # List of countries is from Freebase: # https://www.googleapis.com/freebase/v1/mqlread?lang=/lang/fi&query=[%7B%22name%22:null,%22type%22:%22/location/country%22%7D] # Streetnames are from areacode 32100 (http://posti.fi/postipalvelee/tyokalut/postinumerohaku/) # List of cities is from http://fi.wikipedia.org/wiki/Luettelo_Suomen_kaupungeista module AddressFI include FFaker::Address extend ModuleUtils extend self STREET_NBR_FORMATS = ['##', '#', '# a', '# b', '###', '# a #', '# b #'].freeze def zip_code FFaker.numerify('#####') end def city fetch_sample(CITY) end def street_name fetch_sample(STREET) end def street_address "#{street_name} #{street_nbr}" end def street_nbr FFaker.numerify(fetch_sample(STREET_NBR_FORMATS)) end def full_address "#{street_address}, #{zip_code} #{city}, SUOMI" end def random_country fetch_sample(COUNTRIES) end end end ffaker-2.8.1/lib/ffaker/gender_br.rb0000644000004100000410000000036513233715167017304 0ustar www-datawww-data# encoding: utf-8 module FFaker module GenderBR extend ModuleUtils extend self GENDERS = %w[feminino masculino].freeze def random fetch_sample(GENDERS) end alias maybe random alias sample random end end ffaker-2.8.1/lib/ffaker/food.rb0000644000004100000410000000057313233715167016305 0ustar www-datawww-datamodule FFaker module Food extend ModuleUtils extend self def ingredient send(%w[vegetable fruit meat herb_or_spice][rand 4]) end def vegetable fetch_sample(VEGETABLE) end def fruit fetch_sample(FRUIT) end def meat fetch_sample(MEAT) end def herb_or_spice fetch_sample(HERB_SPICE) end end end ffaker-2.8.1/lib/ffaker/name_se.rb0000644000004100000410000000154113233715167016761 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/name' module FFaker module NameSE include FFaker::Name extend ModuleUtils extend self PREFIXES = %w[Dr. Prof.].freeze def name case rand(0..29) when 0 then "#{prefix} #{first_name} #{last_name}" else "#{first_name} #{last_name}" end end def first_name case rand(0..11) when 0..4 then first_name_female when 5..9 then first_name_male when 10 then "#{first_name_male} #{first_name_male}" when 11 then "#{first_name_female} #{first_name_female}" end end def first_name_female fetch_sample(FIRST_NAMES_FEMALE) end def first_name_male fetch_sample(FIRST_NAMES_MALE) end def last_name fetch_sample(LAST_NAMES) end def prefix fetch_sample(PREFIXES) end end end ffaker-2.8.1/lib/ffaker/address_ca.rb0000644000004100000410000000116213233715167017441 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address' module FFaker module AddressCA include FFaker::Address extend ModuleUtils extend self POSTAL_CODE_FORMAT = '?#? #?#'.freeze POSTAL_CODE_CHARS = %w[A B C E G H J K L M N P R S T V X Y].freeze PROVINCE_ABBRS = %w[NL NS PE NB QC ON MB SK AB BC YT NT NU].freeze def postal_code FFaker.numerify(POSTAL_CODE_FORMAT.gsub('?') { fetch_sample(POSTAL_CODE_CHARS) }) end def province fetch_sample(PROVINCE) end def city fetch_sample(CITY) end def province_abbr fetch_sample(PROVINCE_ABBRS) end end end ffaker-2.8.1/lib/ffaker/name_vn.rb0000644000004100000410000000065413233715167017001 0ustar www-datawww-data# encoding: utf-8 module FFaker module NameVN extend ModuleUtils extend self def name "#{middle_name} #{first_name} #{last_name}" end def first_name fetch_sample(FIRST_NAMES) end def last_name fetch_sample(LAST_NAMES) end def middle_name fetch_sample(MIDDLE_NAMES) end def last_first "#{last_name} #{middle_name} #{first_name}" end end end ffaker-2.8.1/lib/ffaker/sport.rb0000644000004100000410000000017613233715167016524 0ustar www-datawww-datamodule FFaker module Sport extend ModuleUtils extend self def name fetch_sample(NAMES) end end end ffaker-2.8.1/lib/ffaker/phone_number_id.rb0000644000004100000410000000152113233715167020505 0ustar www-datawww-data# frozen_string_literal: true # encoding: utf-8 module FFaker module PhoneNumberID extend ModuleUtils extend self COUNTRY_CODE = '+62'.freeze def mobile_phone_number "#{fetch_sample(MOBILE_PHONE_PREFIXES)}-#{FFaker.numerify('########')}" end def home_phone_number digit_nums = '#' * rand(7..8) "#{fetch_sample(HOME_PHONE_PREFIXES)}-#{FFaker.numerify(digit_nums)}" end def phone_number case rand(0..1) when 0 then home_phone_number when 1 then mobile_phone_number end end def international_mobile_phone_number mobile_phone_number.sub('0', COUNTRY_CODE) end def international_home_phone_number home_phone_number.sub('0', COUNTRY_CODE) end def international_phone_number phone_number.sub('0', COUNTRY_CODE) end end end ffaker-2.8.1/lib/ffaker/phone_number_kr.rb0000644000004100000410000000216313233715167020530 0ustar www-datawww-data# encoding: utf-8 module FFaker module PhoneNumberKR extend ModuleUtils extend self HOME_PHONE_PREFIXES = %w[02 031 032 033 041 042 043 044 049 051 052 053 054 055 061 062 063 064].freeze MOBILE_PHONE_PREFIXES = %w[010 011 016 019].freeze def phone_number case rand(0..1) when 0 then home_work_phone_number when 1 then mobile_phone_number end end def home_work_phone_number FFaker.numerify("#{fetch_sample(HOME_PHONE_PREFIXES)} #### ####") end def mobile_phone_number FFaker.numerify("#{fetch_sample(MOBILE_PHONE_PREFIXES)} #### ####") end def contry_code '+82' end def international_mobile_phone_number number = mobile_phone_number number[0] = "#{contry_code} " number end def international_home_work_phone_number number = home_work_phone_number number[0] = "#{contry_code} " number end def international_phone_number case rand(0..1) when 0 then international_mobile_phone_number when 1 then international_home_work_phone_number end end end end ffaker-2.8.1/lib/ffaker/company_se.rb0000644000004100000410000000100513233715167017502 0ustar www-datawww-data# encoding: utf-8 module FFaker module CompanySE extend ModuleUtils extend self SUFFIXES = %w[AB Aktiebolag Ab].freeze def name case rand(0..3) when 0 then "#{NameSE.last_name} #{suffix}" when 1 then "#{NameSE.last_name}-#{NameSE.last_name}" when 2 then "#{NameSE.last_name}-#{NameSE.last_name} #{suffix}" when 3 then "#{NameSE.last_name}, #{NameSE.last_name} och #{NameSE.last_name}" end end def suffix fetch_sample(SUFFIXES) end end end ffaker-2.8.1/lib/ffaker/identification_mx.rb0000644000004100000410000000412213233715167021045 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/identification_es' module FFaker module IdentificationMX # Author Guapolo extend ModuleUtils extend self CONSONANTS = %w[B C D F G H J K L M N P Q R S T V W X Y Z].freeze VOWELS = %w[A E I O U].freeze HOMOCLAVE = CONSONANTS + VOWELS + [*'0'..'9'] # http://es.wikipedia.org/wiki/Registro_Federal_de_Contribuyentes_(M%C3%A9xico) # Registro Federal de Contribuyentes (R.F.C.) para persona física def rfc_persona_fisica consonants_n = CONSONANTS + ['Ñ'] all_letters = consonants_n + VOWELS date = ::Time.at(rand * ::Time.now.to_f).strftime('%y%m%d') [ fetch_sample(consonants_n), fetch_sample(VOWELS), fetch_sample(all_letters, count: 2).join, date, fetch_sample(HOMOCLAVE, count: 3).join ].join end # http://es.wikipedia.org/wiki/Registro_Federal_de_Contribuyentes_(M%C3%A9xico) # Registro Federal de Contribuyentes (R.F.C.) para persona moral def rfc_persona_moral consonants_n_amp = CONSONANTS + ['Ñ', '&'] all_letters = consonants_n_amp + VOWELS date = ::Time.at(rand * ::Time.now.to_f).strftime('%y%m%d') "#{fetch_sample(all_letters, count: 3).join}#{date}#{fetch_sample(HOMOCLAVE, count: 3).join}" end # http://es.wikipedia.org/wiki/Registro_Federal_de_Contribuyentes_(M%C3%A9xico) # Registro Federal de Contribuyentes (R.F.C.) def rfc fetch_sample([rfc_persona_moral, rfc_persona_fisica]) end # http://es.wikipedia.org/wiki/Clave_%C3%9Anica_de_Registro_de_Poblaci%C3%B3n # Clave Única de Registro de Población def curp all_letters = CONSONANTS + VOWELS hm = %w[H M] date = ::Time.at(rand * ::Time.now.to_f).strftime('%y%m%d') [ fetch_sample(CONSONANTS), fetch_sample(VOWELS), fetch_sample(all_letters, count: 2).join, date, fetch_sample(hm), fetch_sample(ESTADOS_CURP), fetch_sample(CONSONANTS, count: 3).join, fetch_sample(HOMOCLAVE), rand(0..9) ].join end end end ffaker-2.8.1/lib/ffaker/color.rb0000644000004100000410000000250713233715167016473 0ustar www-datawww-data# encoding: utf-8 module FFaker module Color extend ModuleUtils extend self def name fetch_sample(NAMES_LIST) end def hex_code format('%06x', rand * 0xffffff) end def rgb_array [random_rgb_value, random_rgb_value, random_rgb_value] end def rgb_list "#{random_rgb_value},#{random_rgb_value},#{random_rgb_value}" end def rgba_array [random_rgb_value, random_rgb_value, random_rgb_value, random_opacity_value] end def rgba_list "#{random_rgb_value},#{random_rgb_value},#{random_rgb_value},#{random_opacity_value}" end def hsl_array [random_hue_value, random_percentage_string, random_percentage_string] end def hsl_list "#{random_hue_value},#{random_percentage_string},#{random_percentage_string}" end def hsla_array [random_hue_value, random_percentage_string, random_percentage_string, random_opacity_value] end def hsla_list "#{random_hue_value},#{random_percentage_string},#{random_percentage_string},#{random_opacity_value}" end private def random_rgb_value rand 255 end def random_opacity_value rand(0.0..1.0).round(2) end def random_hue_value rand(0..359) end def random_percentage_string "#{rand(0..99)}%" end end end ffaker-2.8.1/lib/ffaker/dizzle_ipsum.rb0000644000004100000410000000045613233715167020074 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/lorem' module FFaker # Thanks to Snoop Dogg module DizzleIpsum extend Lorem extend ModuleUtils extend self def word fetch_sample(DIZZLE_WORDS) end def words(num = 3) fetch_sample(DIZZLE_WORDS, count: num) end end end ffaker-2.8.1/lib/ffaker/identification_es_co.rb0000644000004100000410000000150313233715167021511 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/identification_es' require 'date' module FFaker module IdentificationESCO include IdentificationES extend ModuleUtils extend self BLOOD_TYPE = %w[A B O AB].freeze LICENSE_CATEGORY = %w[A B C].freeze def drivers_license how_many_numbers = rand(6..13) FFaker.numerify('#' * how_many_numbers) end alias id drivers_license def driver_license_category category = fetch_sample(LICENSE_CATEGORY) # the categories are A1 A2 B1 B2 B3 C1 C2 C3 num = category == 'A' ? rand(1..2) : rand(1..3) "#{category}#{num}" end def blood_type # RH sign = fetch_sample(%w[+ -]) "#{fetch_sample(BLOOD_TYPE)}#{sign}" end def expedition_date today = Date.today today - rand(today.year) end end end ffaker-2.8.1/lib/ffaker/name_ga.rb0000644000004100000410000000130613233715167016740 0ustar www-datawww-data# encoding: utf-8 module FFaker # Generates names from Gambia West Africa # Source: http://www.columbia.edu/~msj42/Common%20Gambian%20First%20Names.htm module NameGA extend ModuleUtils extend self LAST_NAMES = %w[jammeh ceesay].freeze def first_name_female fetch_sample(FIRST_NAMES_FEMALE) end def first_name_male fetch_sample(FIRST_NAMES_MALE) end def last_name fetch_sample(LAST_NAMES) end def name_male "#{first_name_male} #{last_name}" end def name_female "#{first_name_female} #{last_name}" end def name case rand(0..1) when 1 then name_male else name_female end end end end ffaker-2.8.1/lib/ffaker/name_ja.rb0000644000004100000410000000046113233715167016744 0ustar www-datawww-data# encoding: utf-8 module FFaker module NameJA extend ModuleUtils extend self def first_name fetch_sample(FIRST_NAMES) end def last_name fetch_sample(LAST_NAMES) end def last_first "#{last_name}#{first_name}" end alias name last_first end end ffaker-2.8.1/lib/ffaker/address_nl.rb0000644000004100000410000000140113233715167017463 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address' module FFaker module AddressNL include FFaker::Address extend ModuleUtils extend self POSTAL_CODE_FORMAT = ['#### ??'].freeze def postal_code FFaker.bothify POSTAL_CODE_FORMAT end def zip_code postal_code end def street_name name = fetch_sample([true, false]) ? NameNL.last_name : NameNL.first_name name + random_type_of_street end def city fetch_sample(CITY) end def province fetch_sample(PROVINCE) end private def random_type_of_street case rand(0..19) when 0 then 'weg' when 1 then 'boulevard' when 3 then 'pad' when 4 then 'steeg' else 'straat' end end end end ffaker-2.8.1/lib/ffaker/guid.rb0000644000004100000410000000026213233715167016301 0ustar www-datawww-data# encoding: utf-8 module FFaker module Guid extend ModuleUtils extend self def guid FFaker.hexify('########-####-####-####-############') end end end ffaker-2.8.1/lib/ffaker/address_ch_fr.rb0000644000004100000410000000031613233715167020137 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address_ch' module FFaker module AddressCHFR include AddressCH extend ModuleUtils extend self def canton fetch_sample(CANTON) end end end ffaker-2.8.1/lib/ffaker/name_de.rb0000644000004100000410000000100413233715167016734 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/name' module FFaker module NameDE include FFaker::Name extend ModuleUtils extend self PREFIXES = %w[Herr Frau Dr. Prof.].freeze def name case rand(0..9) when 0 then "#{prefix} #{first_name} #{last_name}" else "#{first_name} #{last_name}" end end def first_name fetch_sample(FIRST_NAMES) end def last_name fetch_sample(LAST_NAMES) end def prefix fetch_sample(PREFIXES) end end end ffaker-2.8.1/lib/ffaker/tweet.rb0000644000004100000410000000312013233715167016475 0ustar www-datawww-data# encoding: utf-8 module FFaker module Tweet extend ModuleUtils extend self # Options # num_hashtags: How many hashtags (default: (skewed (40%) 1-4)) # num_mentions: How many mentions (default: (skewed (20% 1-2)) # reply: Add reply? (default: (random 10%) # body_length: Target length (rand(20..140)) (will be <= target) def tweet(args = {}) options = { num_hashtags: [0, rand(1..10) - 6].max, num_mentions: [0, rand(1..10) - 8].max, reply: (rand(1..10) == 1), body_length: rand(20..140) }.merge(args) my_reply = options[:reply] ? "#{mention} " : '' my_mentions = options[:num_mentions] > 0 ? "#{mentions(options[:num_mentions])} " : '' my_tags = tags(options[:num_hashtags]) remaining = [ options[:body_length], 140 - (my_reply.size + my_mentions.size + my_tags.size) ].min "#{my_reply}#{body(remaining)}#{my_mentions}#{my_tags}" end def mention "@#{FFaker::Internet.user_name}" end def mentions(num = 2) mention_names = [] num.times { mention_names << mention } mention_names.join(' ') end def body(required_length = 140) required_length = [required_length, 20].max body = '' prefix = '' until body.size > required_length body += "#{prefix}#{FFaker::Lorem.sentence}" prefix = ' ' end body[required_length - 1] = '#' body.gsub(/\s\S*\#.*$/, '.') end def tags(num_tags = 2) fetch_sample(HASHTAG, count: num_tags).join(' ') end end end ffaker-2.8.1/lib/ffaker/currency.rb0000644000004100000410000000032413233715167017202 0ustar www-datawww-data# encoding: utf-8 module FFaker module Currency extend ModuleUtils extend self def code fetch_sample(CURRENCY_CODE) end def name fetch_sample(CURRENCY_NAME) end end end ffaker-2.8.1/lib/ffaker/identification.rb0000644000004100000410000000106013233715167020337 0ustar www-datawww-data# encoding: utf-8 module FFaker module Identification extend ModuleUtils extend self ETHNICITIES = ['African American', 'Asian/Pacific Islander', 'Caucasian', 'Hispanic', 'Native American', 'Multiracial', 'Other', 'Prefer not to respond'].freeze GENDERS = %w[Male Female].freeze def drivers_license FFaker.bothify('?###-###-##-###-#').upcase end def ssn FFaker.numerify('###-##-####') end def ethnicity fetch_sample(ETHNICITIES) end def gender fetch_sample(GENDERS) end end end ffaker-2.8.1/lib/ffaker/phone_number_br.rb0000644000004100000410000000330113233715167020512 0ustar www-datawww-data# encoding: utf-8 module FFaker # Author: Gustavo Souza https://github.com/gustavor-souza # Source https://en.wikipedia.org/wiki/Telephone_numbers_in_Brazil # module PhoneNumberBR extend ModuleUtils extend self COUNTRY_PREFIX = '+55'.freeze AREA_CODE = %w[1# 2# 3# 4# 5# 6# 7# 8# 9#].freeze HOME_WORK_PHONE_PREFIX = %w[2 3 4 5].freeze MOBILE_PHONE_PREFIX = %w[6 7 8 9 96 97 98 99].freeze PHONE_NUMBER = %w[####### ###-####].freeze # generate a random phone number # def phone_number case rand(0..1) when 0 then home_work_phone_number when 1 then mobile_phone_number end end def home_work_phone_number number HOME_WORK_PHONE_PREFIX end def mobile_phone_number number MOBILE_PHONE_PREFIX end # pick a random phone number with the international prefix code # def international_phone_number case rand(0..1) when 0 then international_mobile_phone_number when 1 then international_home_work_phone_number end end def international_mobile_phone_number number MOBILE_PHONE_PREFIX, COUNTRY_PREFIX end def international_home_work_phone_number number HOME_WORK_PHONE_PREFIX, COUNTRY_PREFIX end def country_code COUNTRY_PREFIX end private def number(prefixes, country_prefix = '') space = random_space p = [ country_prefix, space, fetch_sample(AREA_CODE), space, fetch_sample(prefixes), fetch_sample(PHONE_NUMBER) ].join('').strip FFaker.numerify p end def random_space rand(0..1) == 1 ? ' ' : '' end end end ffaker-2.8.1/lib/ffaker/utils/0000755000004100000410000000000013233715167016164 5ustar www-datawww-dataffaker-2.8.1/lib/ffaker/utils/unique_utils.rb0000644000004100000410000000176013233715167021243 0ustar www-datawww-data# frozen_string_literal: true require 'set' module FFaker class UniqueUtils def initialize(generator, max_retries) @generator = generator @max_retries = max_retries @previous_results = Hash.new { |hash, key| hash[key] = Set.new } end def method_missing(name, *arguments) @generator.respond_to?(name) ? add_results_to_hash(name, *arguments) : super end def respond_to_missing?(method_name, include_private = false) super end RetryLimitExceeded = Class.new(StandardError) def clear @previous_results.clear end def self.clear ObjectSpace.each_object(self, &:clear) end private def add_results_to_hash(name, *arguments) @max_retries.times do result = @generator.send(name, *arguments) next if @previous_results[[name, arguments]].include?(result) @previous_results[[name, arguments]] << result return result end raise RetryLimitExceeded end end end ffaker-2.8.1/lib/ffaker/utils/random_utils.rb0000644000004100000410000000231613233715167021213 0ustar www-datawww-datamodule FFaker # Methods for returning repeatably-random data using the internal # Random Number Generator. You should not need to use this directly, it is # automatically included when you `include ModuleUtils` in a FFaker module. module RandomUtils # Returns a randon number from the internal Random Number Generator. Can be # used in place of `rand` or `Kernal.rand`. def rand(max = nil) FFaker::Random.rand(max) end # Performs Array#sample on `list` using a the internal Random Number # Generator so that the results are deterministic. # # * Returns one random item from `list`. # * Pass `count: n` in options argument, where `n` is an integer, to # return *n* items from `list` def fetch_sample(list, options = {}) if (count = options.delete(:count)) list.sample(count, random: FFaker::Random) else list.sample(random: FFaker::Random) end end # Performs same action as as `Array#suffle` (returns a randomly-reordered # copy of `list`) except that it uses the internal Random Number Generator # so that the results are deterministic. def shuffle(list) list.shuffle(random: FFaker::Random) end end end ffaker-2.8.1/lib/ffaker/utils/module_utils.rb0000644000004100000410000000200113233715167021207 0ustar www-datawww-datarequire 'ffaker/utils/array_utils' require 'ffaker/utils/random_utils' require 'ffaker/utils/unique_utils' module FFaker module ModuleUtils include RandomUtils def k(arg) FFaker::ArrayUtils.const_array(arg) end def const_missing(const_name) if const_name =~ /[a-z]/ # Not a constant, probably a class/module name. super const_name else mod_name = ancestors.first.to_s.split('::').last data_path = "#{FFaker::BASE_LIB_PATH}/ffaker/data/#{underscore(mod_name)}/#{underscore(const_name.to_s)}" data = k File.read(data_path, mode: 'r:UTF-8').split("\n") const_set const_name, data data end end def underscore(string) string.gsub(/::/, '/') .gsub(/([A-Z]+)([A-Z][a-z])/, '\1_\2') .gsub(/([a-z\d])([A-Z])/, '\1_\2') .tr('-', '_') .downcase end def unique(max_retries = 10_000) @unique_generator ||= FFaker::UniqueUtils.new(self, max_retries) end end end ffaker-2.8.1/lib/ffaker/utils/array_utils.rb0000644000004100000410000000226713233715167021056 0ustar www-datawww-datarequire 'ffaker/utils/random_utils' module FFaker module ArrayUtils extend RandomUtils def self.const_array(argument) array = argument.is_a?(Array) ? argument : argument.to_a array.extend ArrayUtils freeze_all(array) end def self.random_pick(array, n) warn '[ArrayUtils.random_pick] is deprecated. Please use the ModuleUtils#fetch_sample method' fetch_sample(array, count: n) end def self.rand(array) warn '[ArrayUtils.rand] is deprecated. Please use the ModuleUtils#fetch_sample method' fetch_sample(array) end def self.freeze_all(array) array.each(&:freeze) array.freeze array end def self.shuffle(array) array.sort_by { FFaker::Random.rand } end def random_pick(n) warn '[ArrayUtils#random_pick] is deprecated. Please use the ModuleUtils#fetch_sample method' ArrayUtils.random_pick(self, n) end def rand warn '[ArrayUtils#rand] is deprecated. Please use the ModuleUtils#fetch_sample method' ArrayUtils.rand(self) end def freeze_all ArrayUtils.freeze_all(self) end def shuffle ArrayUtils.shuffle(self) end end end ffaker-2.8.1/lib/ffaker/identification_kr.rb0000644000004100000410000000130213233715167021032 0ustar www-datawww-data# encoding: utf-8 module FFaker module IdentificationKr extend ModuleUtils extend self # Resident Registration Number # http://ko.wikipedia.org/wiki/%EC%A3%BC%EB%AF%BC%EB%93%B1%EB%A1%9D%EB%B2%88%ED%98%B8 def rrn birth = fetch_sample([*Date.new(1970, 1, 1)..Date.new(1999, 12, 31)]).strftime('%y%d%m') sex = fetch_sample([1, 2]) loc = FFaker.numerify("#{fetch_sample([*'00'..'95'])}###") a, b, c, d, e, f, g, h, i, j, k, l = "#{birth}#{sex}#{loc}".split(//).map(&:to_i) checksum = (11 - (2 * a + 3 * b + 4 * c + 5 * d + 6 * e + 7 * f + 8 * g + 9 * h + 2 * i + 3 * j + 4 * k + 5 * l) % 11) % 10 "#{birth}-#{sex}#{loc}#{checksum}" end end end ffaker-2.8.1/lib/ffaker/identification_es.rb0000644000004100000410000000030713233715167021031 0ustar www-datawww-data# encoding: utf-8 module FFaker module IdentificationES extend ModuleUtils extend self GENDERS = %w[Hombre Mujer].freeze def gender fetch_sample(GENDERS) end end end ffaker-2.8.1/lib/ffaker/lorem_ja.rb0000644000004100000410000000132313233715167017140 0ustar www-datawww-data# encoding: utf-8 module FFaker module LoremJA extend ModuleUtils extend self def character fetch_sample(CHARACTERS) end def characters(count = 20) fetch_sample(CHARACTERS, count: count).join end def word fetch_sample(WORDS) end def words(count = 3) fetch_sample(WORDS, count: count) end def sentence fetch_sample(SENTENCES) end def sentences(count = 3) (1..count).map { fetch_sample(SENTENCES) } end def paragraph(sentence_count = 3) sentences(sentence_count).join('、') + '、' + fetch_sample(SENTENCES_END) + '。' end def paragraphs(count = 3) (1..count).map { paragraph } end end end ffaker-2.8.1/lib/ffaker/phone_number_sg.rb0000644000004100000410000000362013233715167020524 0ustar www-datawww-data# encoding: utf-8 module FFaker # Based on information from http://en.wikipedia.org/wiki/Telephone_numbers_in_Singapore module PhoneNumberSG extend ModuleUtils extend self # Number Ranges # 3xxx xxxx - Voice Over IP services # 6xxx xxxx - Fixed Line services inclusive of Fixed Line Voice Over IP services # like StarHub Digital Voice and SingTel mio Voice # 8xxx xxxx - Mobile phone services # 9xxx xxxx - Mobile phone services Includes Paging Services like SUNPAGE # 800 xxx xxxx - Toll-Free International services # 1800 xxx xxxx - Toll-Free line services # 1900 xxx xxxx - Premium Service # Generates a voip phone number # 3xxx xxxx # def voip_number FFaker.numerify('3### ####') end # Generates a fixed line phone number # 6xxx xxxx # def fixed_line_number FFaker.numerify('6### ####') end # Generates a fixed mobile phone number # 8xxx xxxx # def mobile_number FFaker.numerify('8### ####') end # Generates a fixed mobile phone number or pager service number # 9xxx xxxx # def mobile_or_pager_number FFaker.numerify('9### ####') end # Generates an international toll-free number # 800 xxx xxxx # def international_toll_free_number FFaker.numerify('800 ### ####') end # Generates an toll-free number # 1800 xxx xxxx # def toll_free_number FFaker.numerify('1800 ### ####') end # Generates a premium service number # (1900) xxx xxxx # def premium_service_number FFaker.numerify('1900 ### ####') end # generates mobile or home/work number def phone_number case rand(0..2) when 0 then fixed_line_number when 1 then mobile_number when 2 then mobile_or_pager_number end end def country_code '+65' end end end ffaker-2.8.1/lib/ffaker/phone_number_sn.rb0000644000004100000410000000350513233715167020535 0ustar www-datawww-data# encoding: utf-8 module FFaker # Author: PapePathe http://www.xarala.sn module PhoneNumberSN extend ModuleUtils extend self # Mobile Operator prefixes # # 77 => Orange # 76 => Tigo # 70 => Expresso # MobileOperatorsPrefix = %w[70 76 77].freeze # Home or Work Operator prefixes # # 33 => Orange # HomeWorkOperatorsPrefix = %w[33].freeze # Return a prefix in MobileOperatorsPrefix # @see FFaker::PhoneNumberSN::MobileOperatorsPrefix # def mobile_phone_prefix fetch_sample(MobileOperatorsPrefix) end # Return a prefix in HomeWorkOperatorsPrefix # @see FFaker::PhoneNumberSN::HomeWorkOperatorsPrefix # def homework_phone_prefix HomeWorkOperatorsPrefix[0] end # Pattern that can be combined with a prefix to generate mobile, office phone_numbers # Example 745 77 99 # Example 245 07 00 # Example 726 29 05 # def short_phone_number FFaker.numerify('###-##-##') end # Generates a mobile phone number # Example 70 745 77 99 # Example 76 245 07 00 # Example 77 726 29 05 # def mobile_number "#{mobile_phone_prefix}-#{short_phone_number}" end # Generates a home or work phone number # Example 33 845 77 99 # Example 33 945 07 00 # Example 33 906 29 05 # def homework_number "#{homework_phone_prefix}-#{rand(8..9)}#{FFaker.numerify('##-##-##')}" end # Generates a random phone number mobile or home or work # def phone_number case rand(0..9) when 0 then homework_number when 9 then homework_number when 3 then mobile_number when 5 then mobile_number when 6 then mobile_number when 8 then mobile_number else homework_number end end end end ffaker-2.8.1/lib/ffaker/color_ua.rb0000644000004100000410000000023013233715167017147 0ustar www-datawww-data# encoding: utf-8 module FFaker module ColorUA extend ModuleUtils extend self def name fetch_sample(NAMES_LIST) end end end ffaker-2.8.1/lib/ffaker/music.rb0000644000004100000410000000045113233715167016471 0ustar www-datawww-data# encoding: utf-8 module FFaker module Music extend ModuleUtils extend self def genre fetch_sample(GENRES) end def album fetch_sample(ALBUMS) end def artist fetch_sample(ARTISTS) end def song fetch_sample(SONGS) end end end ffaker-2.8.1/lib/ffaker/company.rb0000644000004100000410000000254213233715167017022 0ustar www-datawww-data# encoding: utf-8 module FFaker module Company extend ModuleUtils extend self SUFFIXES = %w[Inc and\ Sons LLC Group].freeze POSITION_PREFIXES = %w[Executive Assistant General Associate].freeze POSITIONS = %w[President Manager Director Secretary Consultant].freeze def name case rand(0..2) when 0 then "#{Name.last_name} #{suffix}" when 1 then "#{Name.last_name}-#{Name.last_name}" when 2 then format('%s, %s and %s', Name.last_name, Name.last_name, Name.last_name) end end def suffix fetch_sample(SUFFIXES) end # Generate a buzzword-laden catch phrase. # Wordlist from http://www.1728.com/buzzword.htm def catch_phrase "#{fetch_sample(CATCH_PRE)} #{fetch_sample(CATCH_MID)} #{fetch_sample(CATCH_POS)}" end # When a straight answer won't do, BS to the rescue! # Wordlist from http://dack.com/web/bullshit.html def bs "#{fetch_sample(BS_PRE)} #{fetch_sample(BS_MID)} #{fetch_sample(BS_POS)}" end def position case rand(0..2) when 0 then [fetch_sample(POSITION_PREFIXES), fetch_sample(POSITIONS)] when 1 then [fetch_sample(POSITION_AREAS), fetch_sample(POSITIONS)] when 2 then [fetch_sample(POSITION_PREFIXES), fetch_sample(POSITION_AREAS), fetch_sample(POSITIONS)] end.join(' ') end end end ffaker-2.8.1/lib/ffaker/movie.rb0000644000004100000410000000402313233715167016467 0ustar www-datawww-data# encoding: utf-8 module FFaker module Movie extend ModuleUtils extend self SUFFIXES = [ 'from Hell', 'from Outer Space', 'from Mars', 'from the Black Lagoon', 'with a Thousand Faces', 'from Across the Ocean', 'Who Fell to Earth', 'That Came to Dinner' ].freeze COLORS = %w[Red Yellow Black White].freeze RATINGS = %w[G PG PG-13 R NC-17].freeze # According to MPAA def title case rand(0..3) when 0 then title_with_prefix when 1 then title_with_suffix when 2 then simple_title when 3 then title_from_formula end end def rating fetch_sample(RATINGS) end private def title_with_prefix "#{fetch_sample(PREFIXES)} #{maybe_adj_or_adv}#{fetch_sample(NOUNS)}" end def title_with_suffix "The #{maybe_adj_or_adv}#{fetch_sample(NOUNS)} #{fetch_sample(SUFFIXES)}" end def maybe_adj_or_adv fetch_sample(ADJ_AND_ADV) + ' ' if rand(0..1) == 1 end def simple_title "#{fetch_sample(ADJ_AND_ADV)} #{fetch_sample(NOUNS)}" end def title_from_formula case rand(0..12) when 0 then "#{fetch_sample(NOUNS)} 2: Electric Boogaloo" when 1 then "The #{fetch_sample(NOUNS)} Without a #{fetch_sample(NOUNS)}" when 2 then "The #{fetch_sample(NOUNS)} from #{rand(0...20_000)} Leagues" when 3 then "#{simple_title}: The #{FFaker::Name.name} Story" when 4 then "When #{FFaker::Name.first_name} Met #{FFaker::Name.first_name}" when 5 then "Dr. #{fetch_sample(NOUNS)}" when 6 then "Je Vous Presente, #{FFaker::Name.first_name}" when 7 then "#{rand(0...2999)} A.D." when 8 then "The #{fetch_sample(NOUNS)} from #{FFaker::Address.neighborhood}" when 9 then "Christmas on #{FFaker::Address.street_name}" when 10 then "The #{fetch_sample(COLORS)} Rose of #{FFaker::AddressUK.country}" when 11 then "Hard Boiled #{fetch_sample(NOUNS)}" else ::String.new.tap { |s| n = simple_title; s.replace("#{n} 2: Son of #{n}") } end end end end ffaker-2.8.1/lib/ffaker/ssn.rb0000644000004100000410000000051213233715167016152 0ustar www-datawww-data# encoding: utf-8 module FFaker module SSN extend ModuleUtils extend self # The Social Security number is a nine-digit number in the format # "AAA-GG-SSSS". More info here: # # http://en.wikipedia.org/wiki/Social_Security_number # def ssn FFaker.numerify('###-##-####') end end end ffaker-2.8.1/lib/ffaker/venue.rb0000644000004100000410000000022613233715167016473 0ustar www-datawww-data# encoding: utf-8 module FFaker module Venue extend ModuleUtils extend self def name fetch_sample(VENUE_LIST) end end end ffaker-2.8.1/lib/ffaker/filesystem.rb0000644000004100000410000000074713233715167017545 0ustar www-datawww-data# encoding: utf-8 module FFaker module Filesystem extend ModuleUtils extend self SLUG_DELIMITERS = %w[- _ .].freeze def extension fetch_sample(EXTENSION) end def mime_type fetch_sample(MIME_TYPE) end def file_name(dir = nil, name = nil, ext = nil, directory_separator = '/') dir ||= Internet.slug name ||= Lorem.word.downcase ext ||= extension [dir, name].join(directory_separator) + ".#{ext}" end end end ffaker-2.8.1/lib/ffaker/job_vn.rb0000644000004100000410000000026413233715167016630 0ustar www-datawww-data# frozen_string_literal: true # encoding: utf-8 module FFaker module JobVN extend ModuleUtils extend self def title fetch_sample(JOB_NOUNS) end end end ffaker-2.8.1/lib/ffaker/address_sn.rb0000644000004100000410000000062213233715167017476 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address' module FFaker # Author PapePathe github.com/PapePathe module AddressSN include FFaker::Address extend ModuleUtils extend self def region fetch_sample(REGIONS) end def departement fetch_sample(DEPARTEMENTS) end def arrondissement fetch_sample(ARRONDISSEMENTS) end end end ffaker-2.8.1/lib/ffaker/address_ch.rb0000644000004100000410000000042313233715167017447 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address' module FFaker module AddressCH include FFaker::Address extend ModuleUtils extend self def postal_code FFaker.numerify '####' end def canton_abbr fetch_sample(CANTON_ABBR) end end end ffaker-2.8.1/lib/ffaker/address_in.rb0000644000004100000410000000154613233715167017472 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address' module FFaker module AddressIN include FFaker::Address extend ModuleUtils extend self def zip_code FFaker.numerify('######') end alias pincode zip_code def state fetch_sample(STATE) end def state_abbr fetch_sample(STATE_ABBR) end def union_territory fetch_sample(UNION_TERRITORY) end def union_territory_abbr fetch_sample(UNION_TERRITORY_ABBR) end def state_and_union_territory fetch_sample(STATE + UNION_TERRITORY) end def state_and_union_territory_abbr fetch_sample(STATE_ABBR + UNION_TERRITORY_ABBR) end def country FFaker::Address.country('IN') end def country_code FFaker::Address.country_code('India') end def time_zone 'Asia/Kolkata' end end end ffaker-2.8.1/lib/ffaker/address_mx.rb0000644000004100000410000013640513233715167017513 0ustar www-datawww-data# encoding: utf-8 module FFaker # Author Guapolo module AddressMX extend ModuleUtils extend self def zip_code FFaker.numerify('#####') end def postal_code FFaker.numerify('#####') end def state fetch_sample(STATE) end def state_abbr(st_name = nil) st_name ||= state STATE_ABBR[STATE.index(st_name)] end def municipality(st_abbr = nil) st_abbr ||= state_abbr MUNICIPALITY[st_abbr][rand(0...MUNICIPALITY[st_abbr].size)] end MUNICIPALITY = { 'AGS' => [ 'Aguascalientes', 'Asientos', 'Calvillo', 'Cosío', 'El Llano', 'Jesús María', 'Pabellón de Arteaga', 'Rincón de Romos', 'San Francisco de los Romo', 'San José de Gracia', 'Tepezalá' ], 'BC' => ['Ensenada', 'Mexicali', 'Playas de Rosarito', 'Tecate', 'Tijuana'], 'BCS' => ['Comondú', 'La Paz', 'Loreto', 'Los Cabos', 'Mulegé'], 'CAMP' => %w[Calakmul Calkiní Campeche Candelaria Carmen Champotón Escárcega Hecelchakán Hopelchén Palizada Tenabo], 'CHIS' => [ 'Acacoyagua', 'Acala', 'Acapetahua', 'Aldama', 'Altamirano', 'Amatenango de la Frontera', 'Amatenango del Valle', 'Amatán', 'Angel Albino Corzo', 'Arriaga', 'Bejucal de Ocampo', 'Bella Vista', 'Benemérito de las Américas', 'Berriozábal', 'Bochil', 'Cacahoatán', 'Catazajá', 'Chalchihuitán', 'Chamula', 'Chanal', 'Chapultenango', 'Chenalhó', 'Chiapa de Corzo', 'Chiapilla', 'Chicoasén', 'Chicomuselo', 'Chilón', 'Cintalapa', 'Coapilla', 'Comitán de Domínguez', 'Copainalá', 'El Bosque', 'El Porvenir', 'Escuintla', 'Francisco León', 'Frontera Comalapa', 'Frontera Hidalgo', 'Huehuetán', 'Huitiupán', 'Huixtla', 'Huixtán', 'Ixhuatán', 'Ixtacomitán', 'Ixtapa', 'Ixtapangajoya', 'Jiquipilas', 'Jitotol', 'Juárez', 'La Concordia', 'La Grandeza', 'La Independencia', 'La Libertad', 'La Trinitaria', 'Larráinzar', 'Las Margaritas', 'Las Rosas', 'Mapastepec', 'Maravilla Tenejapa', 'Marqués de Comillas', 'Mazapa de Madero', 'Mazatán', 'Metapa', 'Mitontic', 'Montecristo de Guerrero', 'Motozintla', 'Nicolás Ruíz', 'Ocosingo', 'Ocotepec', 'Ocozocoautla de Espinosa', 'Ostuacán', 'Osumacinta', 'Oxchuc', 'Palenque', 'Pantelhó', 'Pantepec', 'Pichucalco', 'Pijijiapan', 'Pueblo Nuevo Solistahuacán', 'Rayón', 'Reforma', 'Sabanilla', 'Salto de Agua', 'San Andrés Duraznal', 'San Cristóbal de las Casas', 'San Fernando', 'San Juan Cancuc', 'San Lucas', 'Santiago el Pinar', 'Siltepec', 'Simojovel', 'Sitalá', 'Socoltenango', 'Solosuchiapa', 'Soyaló', 'Suchiapa', 'Suchiate', 'Sunuapa', 'Tapachula', 'Tapalapa', 'Tapilula', 'Tecpatán', 'Tenejapa', 'Teopisca', 'Tila', 'Tonalá', 'Totolapa', 'Tumbalá', 'Tuxtla Chico', 'Tuxtla Gutiérrez', 'Tuzantán', 'Tzimol', 'Unión Juárez', 'Venustiano Carranza', 'Villa Comaltitlán', 'Villa Corzo', 'Villaflores', 'Yajalón', 'Zinacantán' ], 'CHIH' => [ 'Ahumada', 'Aldama', 'Allende', 'Aquiles Serdán', 'Ascensión', 'Bachíniva', 'Balleza', 'Batopilas', 'Bocoyna', 'Buenaventura', 'Camargo', 'Carichí', 'Casas Grandes', 'Chihuahua', 'Chínipas', 'Coronado', 'Coyame del Sotol', 'Cuauhtémoc', 'Cusihuiriachi', 'Delicias', 'Dr. Belisario Domínguez', 'El Tule', 'Galeana', 'Gran Morelos', 'Guachochi', 'Guadalupe', 'Guadalupe y Calvo', 'Guazapares', 'Guerrero', 'Gómez Farías', 'Hidalgo del Parral', 'Huejotitán', 'Ignacio Zaragoza', 'Janos', 'Jiménez', 'Julimes', 'Juárez', 'La Cruz', 'López', 'Madera', 'Maguarichi', 'Manuel Benavides', 'Matachí', 'Matamoros', 'Meoqui', 'Morelos', 'Moris', 'Namiquipa', 'Nonoava', 'Nuevo Casas Grandes', 'Ocampo', 'Ojinaga', 'Praxedis G. Guerrero', 'Riva Palacio', 'Rosales', 'Rosario', 'San Francisco de Borja', 'San Francisco de Conchos', 'San Francisco del Oro', 'Santa Bárbara', 'Santa Isabel', 'Satevó', 'Saucillo', 'Temósachic', 'Urique', 'Uruachi', 'Valle de Zaragoza' ], 'COAH' => [ 'Abasolo', 'Acuña', 'Allende', 'Arteaga', 'Candela', 'Castaños', 'Cuatro Ciénegas', 'Escobedo', 'Francisco I. Madero', 'Frontera', 'General Cepeda', 'Guerrero', 'Hidalgo', 'Jiménez', 'Juárez', 'Lamadrid', 'Matamoros', 'Monclova', 'Morelos', 'Múzquiz', 'Nadadores', 'Nava', 'Ocampo', 'Parras', 'Piedras Negras', 'Progreso', 'Ramos Arizpe', 'Sabinas', 'Sacramento', 'Saltillo', 'San Buenaventura', 'San Juan de Sabinas', 'San Pedro', 'Sierra Mojada', 'Torreón', 'Viesca', 'Villa Unión', 'Zaragoza' ], 'COL' => [ 'Armería', 'Colima', 'Comala', 'Coquimatlán', 'Cuauhtémoc', 'Ixtlahuacán', 'Manzanillo', 'Minatitlán', 'Tecomán', 'Villa de Álvarez' ], 'DF' => [ 'Azcapotzalco', 'Benito Juárez', 'Coyoacán', 'Cuajimalpa de Morelos', 'Cuauhtémoc', 'Gustavo A. Madero', 'Iztacalco', 'Iztapalapa', 'La Magdalena Contreras', 'Miguel Hidalgo', 'Milpa Alta', 'Tlalpan', 'Tláhuac', 'Venustiano Carranza', 'Xochimilco', 'Álvaro Obregón' ], 'DGO' => [ 'Canatlán', 'Canelas', 'Coneto de Comonfort', 'Cuencamé', 'Durango', 'El Oro', 'General Simón Bolívar', 'Guadalupe Victoria', 'Guanaceví', 'Gómez Palacio', 'Hidalgo', 'Indé', 'Lerdo', 'Mapimí', 'Mezquital', 'Nazas', 'Nombre de Dios', 'Nuevo Ideal', 'Ocampo', 'Otáez', 'Peñón Blanco', 'Poanas', 'Pueblo Nuevo', 'Pánuco de Coronado', 'Rodeo', 'San Bernardo', 'San Dimas', 'San Juan de Guadalupe', 'San Juan del Río', 'San Luis del Cordero', 'San Pedro del Gallo', 'Santa Clara', 'Santiago Papasquiaro', 'Súchil', 'Tamazula', 'Tepehuanes', 'Tlahualilo', 'Topia', 'Vicente Guerrero' ], 'GRO' => [ 'Acapulco de Juárez', 'Acatepec', 'Ahuacuotzingo', 'Ajuchitlán del Progreso', 'Alcozauca de Guerrero', 'Alpoyeca', 'Apaxtla', 'Arcelia', 'Atenango del Río', 'Atlamajalcingo del Monte', 'Atlixtac', 'Atoyac de Álvarez', 'Ayutla de los Libres', 'Azoyú', 'Benito Juárez', 'Buenavista de Cuéllar', 'Chilapa de Álvarez', 'Chilpancingo de los Bravo', 'Coahuayutla de José María Izazaga', 'Cochoapa el Grande', 'Cocula', 'Copala', 'Copalillo', 'Copanatoyac', 'Coyuca de Benítez', 'Coyuca de Catalán', 'Cuajinicuilapa', 'Cualác', 'Cuautepec', 'Cuetzala del Progreso', 'Cutzamala de Pinzón', 'Eduardo Neri', 'Florencio Villarreal', 'General Canuto A. Neri', 'General Heliodoro Castillo', 'Huamuxtitlán', 'Huitzuco de los Figueroa', 'Iguala de la Independencia', 'Igualapa', 'Iliatenco', 'Ixcateopan de Cuauhtémoc', 'José Joaquín de Herrera', 'Juan R. Escudero', 'Juchitán', 'La Unión de Isidoro Montes de Oca', 'Leonardo Bravo', 'Malinaltepec', 'Marquelia', 'Metlatónoc', 'Mochitlán', 'Mártir de Cuilapan', 'Olinalá', 'Ometepec', 'Pedro Ascencio Alquisiras', 'Petatlán', 'Pilcaya', 'Pungarabato', 'Quechultenango', 'San Luis Acatlán', 'San Marcos', 'San Miguel Totolapan', 'Taxco de Alarcón', 'Tecoanapa', 'Teloloapan', 'Tepecoacuilco de Trujano', 'Tetipac', 'Tixtla de Guerrero', 'Tlacoachistlahuaca', 'Tlacoapa', 'Tlalchapa', 'Tlalixtaquilla de Maldonado', 'Tlapa de Comonfort', 'Tlapehuala', 'Técpan de Galeana', 'Xalpatláhuac', 'Xochihuehuetlán', 'Xochistlahuaca', 'Zapotitlán Tablas', 'Zihuatanejo de Azueta', 'Zirándaro', 'Zitlala' ], 'GTO' => [ 'Abasolo', 'Acámbaro', 'Apaseo el Alto', 'Apaseo el Grande', 'Atarjea', 'Celaya', 'Comonfort', 'Coroneo', 'Cortazar', 'Cuerámaro', 'Doctor Mora', 'Dolores Hidalgo Cuna de la Independencia Nacional', 'Guanajuato', 'Huanímaro', 'Irapuato', 'Jaral del Progreso', 'Jerécuaro', 'León', 'Manuel Doblado', 'Moroleón', 'Ocampo', 'Pueblo Nuevo', 'Purísima del Rincón', 'Pénjamo', 'Romita', 'Salamanca', 'Salvatierra', 'San Diego de la Unión', 'San Felipe', 'San Francisco del Rincón', 'San José Iturbide', 'San Luis de la Paz', 'San Miguel de Allende', 'Santa Catarina', 'Santa Cruz de Juventino Rosas', 'Santiago Maravatío', 'Silao', 'Tarandacuao', 'Tarimoro', 'Tierra Blanca', 'Uriangato', 'Valle de Santiago', 'Victoria', 'Villagrán', 'Xichú', 'Yuriria' ], 'HGO' => [ 'Acatlán', 'Acaxochitlán', 'Actopan', 'Agua Blanca de Iturbide', 'Ajacuba', 'Alfajayucan', 'Almoloya', 'Apan', 'Atitalaquia', 'Atlapexco', 'Atotonilco de Tula', 'Atotonilco el Grande', 'Calnali', 'Cardonal', 'Chapantongo', 'Chapulhuacán', 'Chilcuautla', 'Cuautepec de Hinojosa', 'El Arenal', 'Eloxochitlán', 'Emiliano Zapata', 'Epazoyucan', 'Francisco I. Madero', 'Huasca de Ocampo', 'Huautla', 'Huazalingo', 'Huehuetla', 'Huejutla de Reyes', 'Huichapan', 'Ixmiquilpan', 'Jacala de Ledezma', 'Jaltocán', 'Juárez Hidalgo', 'La Misión', 'Lolotla', 'Metepec', 'Metztitlán', 'Mineral de la Reforma', 'Mineral del Chico', 'Mineral del Monte', 'Mixquiahuala de Juárez', 'Molango de Escamilla', 'Nicolás Flores', 'Nopala de Villagrán', 'Omitlán de Juárez', 'Pachuca de Soto', 'Pacula', 'Pisaflores', 'Progreso de Obregón', 'San Agustín Metzquititlán', 'San Agustín Tlaxiaca', 'San Bartolo Tutotepec', 'San Felipe Orizatlán', 'San Salvador', 'Santiago Tulantepec de Lugo Guerrero', 'Santiago de Anaya', 'Singuilucan', 'Tasquillo', 'Tecozautla', 'Tenango de Doria', 'Tepeapulco', 'Tepehuacán de Guerrero', 'Tepeji del Río de Ocampo', 'Tepetitlán', 'Tetepango', 'Tezontepec de Aldama', 'Tianguistengo', 'Tizayuca', 'Tlahuelilpan', 'Tlahuiltepa', 'Tlanalapa', 'Tlanchinol', 'Tlaxcoapan', 'Tolcayuca', 'Tula de Allende', 'Tulancingo de Bravo', 'Villa de Tezontepec', 'Xochiatipan', 'Xochicoatlán', 'Yahualica', 'Zacualtipán de Ángeles', 'Zapotlán de Juárez', 'Zempoala', 'Zimapán' ], 'JAL' => [ 'Acatic', 'Acatlán de Juárez', 'Ahualulco de Mercado', 'Amacueca', 'Amatitán', 'Ameca', 'Arandas', 'Atemajac de Brizuela', 'Atengo', 'Atenguillo', 'Atotonilco el Alto', 'Atoyac', 'Autlán de Navarro', 'Ayotlán', 'Ayutla', 'Bolaños', 'Cabo Corrientes', 'Casimiro Castillo', 'Cañadas de Obregón', 'Chapala', 'Chimaltitán', 'Chiquilistlán', 'Cihuatlán', 'Cocula', 'Colotlán', 'Concepción de Buenos Aires', 'Cuautitlán de García Barragán', 'Cuautla', 'Cuquío', 'Degollado', 'Ejutla', 'El Arenal', 'El Grullo', 'El Limón', 'El Salto', 'Encarnación de Díaz', 'Etzatlán', 'Guachinango', 'Guadalajara', 'Gómez Farías', 'Hostotipaquillo', 'Huejuquilla el Alto', 'Huejúcar', 'Ixtlahuacán de los Membrillos', 'Ixtlahuacán del Río', 'Jalostotitlán', 'Jamay', 'Jesús María', 'Jilotlán de los Dolores', 'Jocotepec', 'Juanacatlán', 'Juchitlán', 'La Barca', 'La Huerta', 'La Manzanilla de la Paz', 'Lagos de Moreno', 'Magdalena', 'Mascota', 'Mazamitla', 'Mexticacán', 'Mezquitic', 'Mixtlán', 'Ocotlán', 'Ojuelos de Jalisco', 'Pihuamo', 'Poncitlán', 'Puerto Vallarta', 'Quitupan', 'San Cristóbal de la Barranca', 'San Diego de Alejandría', 'San Gabriel', 'San Ignacio Cerro Gordo', 'San Juan de los Lagos', 'San Juanito de Escobedo', 'San Julián', 'San Marcos', 'San Martín Hidalgo', 'San Martín de Bolaños', 'San Miguel el Alto', 'San Pedro Tlaquepaque', 'San Sebastián del Oeste', 'Santa María de los Ángeles', 'Santa María del Oro', 'Sayula', 'Tala', 'Talpa de Allende', 'Tamazula de Gordiano', 'Tapalpa', 'Tecalitlán', 'Techaluta de Montenegro', 'Tecolotlán', 'Tenamaxtlán', 'Teocaltiche', 'Teocuitatlán de Corona', 'Tepatitlán de Morelos', 'Tequila', 'Teuchitlán', 'Tizapán el Alto', 'Tlajomulco de Zúñiga', 'Tolimán', 'Tomatlán', 'Tonalá', 'Tonaya', 'Tonila', 'Totatiche', 'Tototlán', 'Tuxcacuesco', 'Tuxcueca', 'Tuxpan', 'Unión de San Antonio', 'Unión de Tula', 'Valle de Guadalupe', 'Valle de Juárez', 'Villa Corona', 'Villa Guerrero', 'Villa Hidalgo', 'Villa Purificación', 'Yahualica de González Gallo', 'Zacoalco de Torres', 'Zapopan', 'Zapotiltic', 'Zapotitlán de Vadillo', 'Zapotlanejo', 'Zapotlán del Rey', 'Zapotlán el Grande' ], 'MEX' => [ 'Acambay', 'Acolman', 'Aculco', 'Almoloya de Alquisiras', 'Almoloya de Juárez', 'Almoloya del Río', 'Amanalco', 'Amatepec', 'Amecameca', 'Apaxco', 'Atenco', 'Atizapán', 'Atizapán de Zaragoza', 'Atlacomulco', 'Atlautla', 'Axapusco', 'Ayapango', 'Calimaya', 'Capulhuac', 'Chalco', 'Chapa de Mota', 'Chapultepec', 'Chiautla', 'Chicoloapan', 'Chiconcuac', 'Chimalhuacán', 'Coacalco de Berriozábal', 'Coatepec Harinas', 'Cocotitlán', 'Coyotepec', 'Cuautitlán', 'Cuautitlán Izcalli', 'Donato Guerra', 'Ecatepec de Morelos', 'Ecatzingo', 'El Oro', 'Huehuetoca', 'Hueypoxtla', 'Huixquilucan', 'Isidro Fabela', 'Ixtapaluca', 'Ixtapan de la Sal', 'Ixtapan del Oro', 'Ixtlahuaca', 'Jaltenco', 'Jilotepec', 'Jilotzingo', 'Jiquipilco', 'Jocotitlán', 'Joquicingo', 'Juchitepec', 'La Paz', 'Lerma', 'Luvianos', 'Malinalco', 'Melchor Ocampo', 'Metepec', 'Mexicaltzingo', 'Morelos', 'Naucalpan de Juárez', 'Nextlalpan', 'Nezahualcóyotl', 'Nicolás Romero', 'Nopaltepec', 'Ocoyoacac', 'Ocuilan', 'Otumba', 'Otzoloapan', 'Otzolotepec', 'Ozumba', 'Papalotla', 'Polotitlán', 'Rayón', 'San Antonio la Isla', 'San Felipe del Progreso', 'San José del Rincón', 'San Martín de las Pirámides', 'San Mateo Atenco', 'San Simón de Guerrero', 'Santo Tomás', 'Soyaniquilpan de Juárez', 'Sultepec', 'Tecámac', 'Tejupilco', 'Temamatla', 'Temascalapa', 'Temascalcingo', 'Temascaltepec', 'Temoaya', 'Tenancingo', 'Tenango del Aire', 'Tenango del Valle', 'Teoloyucan', 'Teotihuacán', 'Tepetlaoxtoc', 'Tepetlixpa', 'Tepotzotlán', 'Tequixquiac', 'Texcaltitlán', 'Texcalyacac', 'Texcoco', 'Tezoyuca', 'Tianguistenco', 'Timilpan', 'Tlalmanalco', 'Tlalnepantla de Baz', 'Tlatlaya', 'Toluca', 'Tonanitla', 'Tonatico', 'Tultepec', 'Tultitlán', 'Valle de Bravo', 'Valle de Chalco Solidaridad', 'Villa Guerrero', 'Villa Victoria', 'Villa de Allende', 'Villa del Carbón', 'Xalatlaco', 'Xonacatlán', 'Zacazonapan', 'Zacualpan', 'Zinacantepec', 'Zumpahuacán', 'Zumpango' ], 'MICH' => [ 'Acuitzio', 'Aguililla', 'Álvaro Obregón', 'Angamacutiro', 'Angangueo', 'Apatzingán', 'Aporo', 'Aquila', 'Ario', 'Arteaga', 'Briseñas', 'Buenavista', 'Carácuaro', 'Charapan', 'Charo', 'Chavinda', 'Cherán', 'Chilchota', 'Chinicuila', 'Chucándiro', 'Churintzio', 'Churumuco', 'Coahuayana', 'Coalcomán de Vázquez Pallares', 'Coeneo', 'Cojumatlán de Régules', 'Contepec', 'Copándaro', 'Cotija', 'Cuitzeo', 'Ecuandureo', 'Epitacio Huerta', 'Erongarícuaro', 'Gabriel Zamora', 'Hidalgo', 'Huandacareo', 'Huaniqueo', 'Huetamo', 'Huiramba', 'Indaparapeo', 'Irimbo', 'Ixtlán', 'Jacona', 'Jiménez', 'Jiquilpan', 'José Sixto Verduzco', 'Jungapeo', 'Juárez', 'La Huacana', 'La Piedad', 'Lagunillas', 'Los Reyes', 'Lázaro Cárdenas', 'Madero', 'Maravatío', 'Marcos Castellanos', 'Morelia', 'Morelos', 'Múgica', 'Nahuatzen', 'Nocupétaro', 'Nuevo Parangaricutiro', 'Nuevo Urecho', 'Numarán', 'Ocampo', 'Pajacuarán', 'Panindícuaro', 'Paracho', 'Parácuaro', 'Penjamillo', 'Peribán', 'Puruándiro', 'Purépero', 'Pátzcuaro', 'Queréndaro', 'Quiroga', 'Sahuayo', 'Salvador Escalante', 'San Lucas', 'Santa Ana Maya', 'Senguio', 'Susupuato', 'Tacámbaro', 'Tancítaro', 'Tangamandapio', 'Tangancícuaro', 'Tanhuato', 'Taretan', 'Tarímbaro', 'Tepalcatepec', 'Tingambato', 'Tingüindín', 'Tiquicheo de Nicolás Romero', 'Tlalpujahua', 'Tlazazalca', 'Tocumbo', 'Tumbiscatío', 'Turicato', 'Tuxpan', 'Tuzantla', 'Tzintzuntzan', 'Tzitzio', 'Uruapan', 'Venustiano Carranza', 'Villamar', 'Vista Hermosa', 'Yurécuaro', 'Zacapu', 'Zamora', 'Zinapécuaro', 'Zináparo', 'Ziracuaretiro', 'Zitácuaro' ], 'MOR' => [ 'Amacuzac', 'Atlatlahucan', 'Axochiapan', 'Ayala', 'Coatlán del Río', 'Cuautla', 'Cuernavaca', 'Emiliano Zapata', 'Huitzilac', 'Jantetelco', 'Jiutepec', 'Jojutla', 'Jonacatepec', 'Mazatepec', 'Miacatlán', 'Ocuituco', 'Puente de Ixtla', 'Temixco', 'Temoac', 'Tepalcingo', 'Tepoztlán', 'Tetecala', 'Tetela del Volcán', 'Tlalnepantla', 'Tlaltizapán de Zapata', 'Tlaquiltenango', 'Tlayacapan', 'Totolapan', 'Xochitepec', 'Yautepec', 'Yecapixtla', 'Zacatepec', 'Zacualpan' ], 'NL' => [ 'Abasolo', 'Agualeguas', 'Allende', 'Anáhuac', 'Apodaca', 'Aramberri', 'Bustamante', 'Cadereyta Jiménez', 'Carmen', 'Cerralvo', 'China', 'Ciénega de Flores', 'Dr. Arroyo', 'Dr. Coss', 'Dr. González', 'Galeana', 'García', 'Gral. Bravo', 'Gral. Escobedo', 'Gral. Terán', 'Gral. Treviño', 'Gral. Zaragoza', 'Gral. Zuazua', 'Guadalupe', 'Hidalgo', 'Higueras', 'Hualahuises', 'Iturbide', 'Juárez', 'Lampazos de Naranjo', 'Linares', 'Los Aldamas', 'Los Herreras', 'Los Ramones', 'Marín', 'Melchor Ocampo', 'Mier y Noriega', 'Mina', 'Montemorelos', 'Monterrey', 'Parás', 'Pesquería', 'Rayones', 'Sabinas Hidalgo', 'Salinas Victoria', 'San Nicolás de los Garza', 'San Pedro Garza García', 'Santa Catarina', 'Santiago', 'Vallecillo', 'Villaldama' ], 'NAY' => [ 'Acaponeta', 'Ahuacatlán', 'Amatlán de Cañas', 'Bahía de Banderas', 'Compostela', 'Del Nayar', 'Huajicori', 'Ixtlán del Río', 'Jala', 'La Yesca', 'Rosamorada', 'Ruíz', 'San Blas', 'San Pedro Lagunillas', 'Santa María del Oro', 'Santiago Ixcuintla', 'Tecuala', 'Tepic', 'Tuxpan', 'Xalisco' ], 'OAX' => [ 'Abejones', 'Acatlán de Pérez Figueroa', 'Asunción Cacalotepec', 'Asunción Cuyotepeji', 'Asunción Ixtaltepec', 'Asunción Nochixtlán', 'Asunción Ocotlán', 'Asunción Tlacolulita', 'Ayoquezco de Aldama', 'Ayotzintepec', 'Calihualá', 'Candelaria Loxicha', 'Capulálpam de Méndez', 'Chahuites', 'Chalcatongo de Hidalgo', 'Chiquihuitlán de Benito Juárez', 'Ciudad Ixtepec', 'Ciénega de Zimatlán', 'Coatecas Altas', 'Coicoyán de las Flores', 'Concepción Buenavista', 'Concepción Pápalo', 'Constancia del Rosario', 'Cosolapa', 'Cosoltepec', 'Cuilápam de Guerrero', 'Cuyamecalco Villa de Zaragoza', 'El Barrio de la Soledad', 'El Espinal', 'Eloxochitlán de Flores Magón', 'Fresnillo de Trujano', 'Guadalupe Etla', 'Guadalupe de Ramírez', 'Guelatao de Juárez', 'Guevea de Humboldt', 'Heroica Ciudad de Ejutla de Crespo', 'Heroica Ciudad de Huajuapan de León', 'Heroica Ciudad de Juchitán de Zaragoza', 'Heroica Ciudad de Tlaxiaco', 'Heroica Villa Tezoatlán de Segura y Luna, Cuna de la Independencia de Oaxaca', 'Huautepec', 'Huautla de Jiménez', 'Ixpantepec Nieves', 'Ixtlán de Juárez', 'La Compañía', 'La Pe', 'La Reforma', 'La Trinidad Vista Hermosa', 'Loma Bonita', 'Magdalena Apasco', 'Magdalena Jaltepec', 'Magdalena Mixtepec', 'Magdalena Ocotlán', 'Magdalena Peñasco', 'Magdalena Teitipac', 'Magdalena Tequisistlán', 'Magdalena Tlacotepec', 'Magdalena Yodocono de Porfirio Díaz', 'Magdalena Zahuatlán', 'Mariscala de Juárez', 'Matías Romero Avendaño', 'Mazatlán Villa de Flores', 'Mesones Hidalgo', 'Miahuatlán de Porfirio Díaz', 'Mixistlán de la Reforma', 'Monjas', 'Mártires de Tacubaya', 'Natividad', 'Nazareno Etla', 'Nejapa de Madero', 'Nuevo Zoquiápam', 'Oaxaca de Juárez', 'Ocotlán de Morelos', 'Pinotepa de Don Luis', 'Pluma Hidalgo', 'Putla Villa de Guerrero', 'Reforma de Pineda', 'Reyes Etla', 'Rojas de Cuauhtémoc', 'Salina Cruz', 'San Agustín Amatengo', 'San Agustín Atenango', 'San Agustín Chayuco', 'San Agustín Etla', 'San Agustín Loxicha', 'San Agustín Tlacotepec', 'San Agustín Yatareni', 'San Agustín de las Juntas', 'San Andrés Cabecera Nueva', 'San Andrés Dinicuiti', 'San Andrés Huaxpaltepec', 'San Andrés Huayápam', 'San Andrés Ixtlahuaca', 'San Andrés Lagunas', 'San Andrés Nuxiño', 'San Andrés Paxtlán', 'San Andrés Sinaxtla', 'San Andrés Solaga', 'San Andrés Teotilálpam', 'San Andrés Tepetlapa', 'San Andrés Yaá', 'San Andrés Zabache', 'San Andrés Zautla', 'San Antonino Castillo Velasco', 'San Antonino Monte Verde', 'San Antonino el Alto', 'San Antonio Acutla', 'San Antonio Huitepec', 'San Antonio Nanahuatípam', 'San Antonio Sinicahua', 'San Antonio Tepetlapa', 'San Antonio de la Cal', 'San Baltazar Chichicápam', 'San Baltazar Loxicha', 'San Baltazar Yatzachi el Bajo', 'San Bartolo Coyotepec', 'San Bartolo Soyaltepec', 'San Bartolo Yautepec', 'San Bartolomé Ayautla', 'San Bartolomé Loxicha', 'San Bartolomé Quialana', 'San Bartolomé Yucuañe', 'San Bartolomé Zoogocho', 'San Bernardo Mixtepec', 'San Blas Atempa', 'San Carlos Yautepec', 'San Cristóbal Amatlán', 'San Cristóbal Amoltepec', 'San Cristóbal Lachirioag', 'San Cristóbal Suchixtlahuaca', 'San Dionisio Ocotepec', 'San Dionisio Ocotlán', 'San Dionisio del Mar', 'San Esteban Atatlahuca', 'San Felipe Jalapa de Díaz', 'San Felipe Tejalápam', 'San Felipe Usila', 'San Francisco Cahuacuá', 'San Francisco Cajonos', 'San Francisco Chapulapa', 'San Francisco Chindúa', 'San Francisco Huehuetlán', 'San Francisco Ixhuatán', 'San Francisco Jaltepetongo', 'San Francisco Lachigoló', 'San Francisco Logueche', 'San Francisco Nuxaño', 'San Francisco Ozolotepec', 'San Francisco Sola', 'San Francisco Telixtlahuaca', 'San Francisco Teopan', 'San Francisco Tlapancingo', 'San Francisco del Mar', 'San Gabriel Mixtepec', 'San Ildefonso Amatlán', 'San Ildefonso Sola', 'San Ildefonso Villa Alta', 'San Jacinto Amilpas', 'San Jacinto Tlacotepec', 'San Jerónimo Coatlán', 'San Jerónimo Silacayoapilla', 'San Jerónimo Sosola', 'San Jerónimo Taviche', 'San Jerónimo Tecóatl', 'San Jerónimo Tlacochahuaya', 'San Jorge Nuchita', 'San José Ayuquila', 'San José Chiltepec', 'San José Estancia Grande', 'San José Independencia', 'San José Lachiguiri', 'San José Tenango', 'San José del Peñasco', 'San José del Progreso', 'San Juan Achiutla', 'San Juan Atepec', 'San Juan Bautista Atatlahuca', 'San Juan Bautista Coixtlahuaca', 'San Juan Bautista Cuicatlán', 'San Juan Bautista Guelache', 'San Juan Bautista Jayacatlán', 'San Juan Bautista Lo de Soto', 'San Juan Bautista Suchitepec', 'San Juan Bautista Tlachichilco', 'San Juan Bautista Tlacoatzintepec', 'San Juan Bautista Tuxtepec', 'San Juan Bautista Valle Nacional', 'San Juan Cacahuatepec', 'San Juan Chicomezúchil', 'San Juan Chilateca', 'San Juan Cieneguilla', 'San Juan Coatzóspam', 'San Juan Colorado', 'San Juan Comaltepec', 'San Juan Cotzocón', 'San Juan Diuxi', 'San Juan Evangelista Analco', 'San Juan Guelavía', 'San Juan Guichicovi', 'San Juan Ihualtepec', 'San Juan Juquila Mixes', 'San Juan Juquila Vijanos', 'San Juan Lachao', 'San Juan Lachigalla', 'San Juan Lajarcia', 'San Juan Lalana', 'San Juan Mazatlán', 'San Juan Mixtepec -Dto. 08 -', 'San Juan Mixtepec -Dto. 26 -', 'San Juan Ozolotepec', 'San Juan Petlapa', 'San Juan Quiahije', 'San Juan Quiotepec', 'San Juan Sayultepec', 'San Juan Tabaá', 'San Juan Tamazola', 'San Juan Teita', 'San Juan Teitipac', 'San Juan Tepeuxila', 'San Juan Teposcolula', 'San Juan Yaeé', 'San Juan Yatzona', 'San Juan Yucuita', 'San Juan de los Cués', 'San Juan del Estado', 'San Juan del Río', 'San Juan Ñumí', 'San Lorenzo', 'San Lorenzo Albarradas', 'San Lorenzo Cacaotepec', 'San Lorenzo Cuaunecuiltitla', 'San Lorenzo Texmelúcan', 'San Lorenzo Victoria', 'San Lucas Camotlán', 'San Lucas Ojitlán', 'San Lucas Quiaviní', 'San Lucas Zoquiápam', 'San Luis Amatlán', 'San Marcial Ozolotepec', 'San Marcos Arteaga', 'San Martín Huamelúlpam', 'San Martín Itunyoso', 'San Martín Lachilá', 'San Martín Peras', 'San Martín Tilcajete', 'San Martín Toxpalan', 'San Martín Zacatepec', 'San Martín de los Cansecos', 'San Mateo Cajonos', 'San Mateo Etlatongo', 'San Mateo Nejápam', 'San Mateo Peñasco', 'San Mateo Piñas', 'San Mateo Río Hondo', 'San Mateo Sindihui', 'San Mateo Tlapiltepec', 'San Mateo Yoloxochitlán', 'San Mateo Yucutindó', 'San Mateo del Mar', 'San Melchor Betaza', 'San Miguel Achiutla', 'San Miguel Ahuehuetitlán', 'San Miguel Aloápam', 'San Miguel Amatitlán', 'San Miguel Amatlán', 'San Miguel Chicahua', 'San Miguel Chimalapa', 'San Miguel Coatlán', 'San Miguel Ejutla', 'San Miguel Huautla', 'San Miguel Mixtepec', 'San Miguel Panixtlahuaca', 'San Miguel Peras', 'San Miguel Piedras', 'San Miguel Quetzaltepec', 'San Miguel Santa Flor', 'San Miguel Soyaltepec', 'San Miguel Suchixtepec', 'San Miguel Tecomatlán', 'San Miguel Tenango', 'San Miguel Tequixtepec', 'San Miguel Tilquiápam', 'San Miguel Tlacamama', 'San Miguel Tlacotepec', 'San Miguel Tulancingo', 'San Miguel Yotao', 'San Miguel del Puerto', 'San Miguel del Río', 'San Miguel el Grande', 'San Nicolás', 'San Nicolás Hidalgo', 'San Pablo Coatlán', 'San Pablo Cuatro Venados', 'San Pablo Etla', 'San Pablo Huitzo', 'San Pablo Huixtepec', 'San Pablo Macuiltianguis', 'San Pablo Tijaltepec', 'San Pablo Villa de Mitla', 'San Pablo Yaganiza', 'San Pedro Amuzgos', 'San Pedro Apóstol', 'San Pedro Atoyac', 'San Pedro Cajonos', 'San Pedro Comitancillo', 'San Pedro Coxcaltepec Cántaros', 'San Pedro Huamelula', 'San Pedro Huilotepec', 'San Pedro Ixcatlán', 'San Pedro Ixtlahuaca', 'San Pedro Jaltepetongo', 'San Pedro Jicayán', 'San Pedro Jocotipac', 'San Pedro Juchatengo', 'San Pedro Mixtepec -Dto. 22 -', 'San Pedro Mixtepec -Dto. 26 -', 'San Pedro Molinos', 'San Pedro Mártir', 'San Pedro Mártir Quiechapa', 'San Pedro Mártir Yucuxaco', 'San Pedro Nopala', 'San Pedro Ocopetatillo', 'San Pedro Ocotepec', 'San Pedro Pochutla', 'San Pedro Quiatoni', 'San Pedro Sochiápam', 'San Pedro Tapanatepec', 'San Pedro Taviche', 'San Pedro Teozacoalco', 'San Pedro Teutila', 'San Pedro Tidaá', 'San Pedro Topiltepec', 'San Pedro Totolápam', 'San Pedro Yaneri', 'San Pedro Yucunama', 'San Pedro Yólox', 'San Pedro el Alto', 'San Pedro y San Pablo Ayutla', 'San Pedro y San Pablo Teposcolula', 'San Pedro y San Pablo Tequixtepec', 'San Raymundo Jalpan', 'San Sebastián Abasolo', 'San Sebastián Coatlán', 'San Sebastián Ixcapa', 'San Sebastián Nicananduta', 'San Sebastián Río Hondo', 'San Sebastián Tecomaxtlahuaca', 'San Sebastián Teitipac', 'San Sebastián Tutla', 'San Simón Almolongas', 'San Simón Zahuatlán', 'San Vicente Coatlán', 'San Vicente Lachixío', 'San Vicente Nuñú', 'Santa Ana', 'Santa Ana Ateixtlahuaca', 'Santa Ana Cuauhtémoc', 'Santa Ana Tavela', 'Santa Ana Tlapacoyan', 'Santa Ana Yareni', 'Santa Ana Zegache', 'Santa Ana del Valle', 'Santa Catalina Quierí', 'Santa Catarina Cuixtla', 'Santa Catarina Ixtepeji', 'Santa Catarina Juquila', 'Santa Catarina Lachatao', 'Santa Catarina Loxicha', 'Santa Catarina Mechoacán', 'Santa Catarina Minas', 'Santa Catarina Quiané', 'Santa Catarina Quioquitani', 'Santa Catarina Tayata', 'Santa Catarina Ticuá', 'Santa Catarina Yosonotú', 'Santa Catarina Zapoquila', 'Santa Cruz Acatepec', 'Santa Cruz Amilpas', 'Santa Cruz Itundujia', 'Santa Cruz Mixtepec', 'Santa Cruz Nundaco', 'Santa Cruz Papalutla', 'Santa Cruz Tacache de Mina', 'Santa Cruz Tacahua', 'Santa Cruz Tayata', 'Santa Cruz Xitla', 'Santa Cruz Xoxocotlán', 'Santa Cruz Zenzontepec', 'Santa Cruz de Bravo', 'Santa Gertrudis', 'Santa Inés Yatzeche', 'Santa Inés de Zaragoza', 'Santa Inés del Monte', 'Santa Lucía Miahuatlán', 'Santa Lucía Monteverde', 'Santa Lucía Ocotlán', 'Santa Lucía del Camino', 'Santa Magdalena Jicotlán', 'Santa María Alotepec', 'Santa María Apazco', 'Santa María Atzompa', 'Santa María Camotlán', 'Santa María Chachoápam', 'Santa María Chilchotla', 'Santa María Chimalapa', 'Santa María Colotepec', 'Santa María Cortijo', 'Santa María Coyotepec', 'Santa María Ecatepec', 'Santa María Guelacé', 'Santa María Guienagati', 'Santa María Huatulco', 'Santa María Huazolotitlán', 'Santa María Ipalapa', 'Santa María Ixcatlán', 'Santa María Jacatepec', 'Santa María Jalapa del Marqués', 'Santa María Jaltianguis', 'Santa María Lachixío', 'Santa María Mixtequilla', 'Santa María Nativitas', 'Santa María Nduayaco', 'Santa María Ozolotepec', 'Santa María Petapa', 'Santa María Peñoles', 'Santa María Pápalo', 'Santa María Quiegolani', 'Santa María Sola', 'Santa María Tataltepec', 'Santa María Tecomavaca', 'Santa María Temaxcalapa', 'Santa María Temaxcaltepec', 'Santa María Teopoxco', 'Santa María Tepantlali', 'Santa María Texcatitlán', 'Santa María Tlahuitoltepec', 'Santa María Tlalixtac', 'Santa María Tonameca', 'Santa María Totolapilla', 'Santa María Xadani', 'Santa María Yalina', 'Santa María Yavesía', 'Santa María Yolotepec', 'Santa María Yosoyúa', 'Santa María Yucuhiti', 'Santa María Zacatepec', 'Santa María Zaniza', 'Santa María Zoquitlán', 'Santa María del Rosario', 'Santa María del Tule', 'Santa María la Asunción', 'Santiago Amoltepec', 'Santiago Apoala', 'Santiago Apóstol', 'Santiago Astata', 'Santiago Atitlán', 'Santiago Ayuquililla', 'Santiago Cacaloxtepec', 'Santiago Camotlán', 'Santiago Chazumba', 'Santiago Choápam', 'Santiago Comaltepec', 'Santiago Huajolotitlán', 'Santiago Huauclilla', 'Santiago Ihuitlán Plumas', 'Santiago Ixcuintepec', 'Santiago Ixtayutla', 'Santiago Jamiltepec', 'Santiago Jocotepec', 'Santiago Juxtlahuaca', 'Santiago Lachiguiri', 'Santiago Lalopa', 'Santiago Laollaga', 'Santiago Laxopa', 'Santiago Llano Grande', 'Santiago Matatlán', 'Santiago Miltepec', 'Santiago Minas', 'Santiago Nacaltepec', 'Santiago Nejapilla', 'Santiago Niltepec', 'Santiago Nundiche', 'Santiago Nuyoó', 'Santiago Pinotepa Nacional', 'Santiago Suchilquitongo', 'Santiago Tamazola', 'Santiago Tapextla', 'Santiago Tenango', 'Santiago Tepetlapa', 'Santiago Tetepec', 'Santiago Texcalcingo', 'Santiago Textitlán', 'Santiago Tilantongo', 'Santiago Tillo', 'Santiago Tlazoyaltepec', 'Santiago Xanica', 'Santiago Xiacuí', 'Santiago Yaitepec', 'Santiago Yaveo', 'Santiago Yolomécatl', 'Santiago Yosondúa', 'Santiago Yucuyachi', 'Santiago Zacatepec', 'Santiago Zoochila', 'Santiago del Río', 'Santo Domingo Albarradas', 'Santo Domingo Armenta', 'Santo Domingo Chihuitán', 'Santo Domingo Ingenio', 'Santo Domingo Ixcatlán', 'Santo Domingo Nuxaá', 'Santo Domingo Ozolotepec', 'Santo Domingo Petapa', 'Santo Domingo Roayaga', 'Santo Domingo Tehuantepec', 'Santo Domingo Teojomulco', 'Santo Domingo Tepuxtepec', 'Santo Domingo Tlatayápam', 'Santo Domingo Tomaltepec', 'Santo Domingo Tonaltepec', 'Santo Domingo Tonalá', 'Santo Domingo Xagacía', 'Santo Domingo Yanhuitlán', 'Santo Domingo Yodohino', 'Santo Domingo Zanatepec', 'Santo Domingo de Morelos', 'Santo Tomás Jalieza', 'Santo Tomás Mazaltepec', 'Santo Tomás Ocotepec', 'Santo Tomás Tamazulapan', 'Santos Reyes Nopala', 'Santos Reyes Pápalo', 'Santos Reyes Tepejillo', 'Santos Reyes Yucuná', 'Silacayoápam', 'Sitio de Xitlapehua', 'Soledad Etla', 'Tamazulápam del Espíritu Santo', 'Tanetze de Zaragoza', 'Taniche', 'Tataltepec de Valdés', 'Teococuilco de Marcos Pérez', 'Teotitlán de Flores Magón', 'Teotitlán del Valle', 'Teotongo', 'Tepelmeme Villa de Morelos', 'Tlacolula de Matamoros', 'Tlacotepec Plumas', 'Tlalixtac de Cabrera', 'Totontepec Villa de Morelos', 'Trinidad Zaachila', 'Unión Hidalgo', 'Valerio Trujano', 'Villa Díaz Ordaz', 'Villa Hidalgo', 'Villa Sola de Vega', 'Villa Talea de Castro', 'Villa Tejúpam de la Unión', 'Villa de Chilapa de Díaz', 'Villa de Etla', 'Villa de Tamazulápam del Progreso', 'Villa de Tututepec de Melchor Ocampo', 'Villa de Zaachila', 'Yaxe', 'Yogana', 'Yutanduchi de Guerrero', 'Zapotitlán Lagunas', 'Zapotitlán Palmas', 'Zimatlán de Álvarez', 'Ánimas Trujano' ], 'PUE' => [ 'Acajete', 'Acateno', 'Acatlán', 'Acatzingo', 'Acteopan', 'Ahuacatlán', 'Ahuatlán', 'Ahuazotepec', 'Ahuehuetitla', 'Ajalpan', 'Albino Zertuche', 'Aljojuca', 'Altepexi', 'Amixtlán', 'Amozoc', 'Aquixtla', 'Atempan', 'Atexcal', 'Atlequizayan', 'Atlixco', 'Atoyatempan', 'Atzala', 'Atzitzihuacán', 'Atzitzintla', 'Axutla', 'Ayotoxco de Guerrero', 'Calpan', 'Caltepec', 'Camocuautla', 'Caxhuacan', 'Cañada Morelos', 'Chalchicomula de Sesma', 'Chapulco', 'Chiautla', 'Chiautzingo', 'Chichiquila', 'Chiconcuautla', 'Chietla', 'Chigmecatitlán', 'Chignahuapan', 'Chignautla', 'Chila', 'Chila de la Sal', 'Chilchotla', 'Chinantla', 'Coatepec', 'Coatzingo', 'Cohetzala', 'Cohuecan', 'Coronango', 'Coxcatlán', 'Coyomeapan', 'Coyotepec', 'Cuapiaxtla de Madero', 'Cuautempan', 'Cuautinchán', 'Cuautlancingo', 'Cuayuca de Andrade', 'Cuetzalan del Progreso', 'Cuyoaco', 'Domingo Arenas', 'Eloxochitlán', 'Epatlán', 'Esperanza', 'Francisco Z. Mena', 'General Felipe Ángeles', 'Guadalupe', 'Guadalupe Victoria', 'Hermenegildo Galeana', 'Honey', 'Huaquechula', 'Huatlatlauca', 'Huauchinango', 'Huehuetla', 'Huehuetlán el Chico', 'Huehuetlán el Grande', 'Huejotzingo', 'Hueyapan', 'Hueytamalco', 'Hueytlalpan', 'Huitzilan de Serdán', 'Huitziltepec', 'Ixcamilpa de Guerrero', 'Ixcaquixtla', 'Ixtacamaxtitlán', 'Ixtepec', 'Izúcar de Matamoros', 'Jalpan', 'Jolalpan', 'Jonotla', 'Jopala', 'Juan C. Bonilla', 'Juan Galindo', 'Juan N. Méndez', 'La Magdalena Tlatlauquitepec', 'Lafragua', 'Libres', 'Los Reyes de Juárez', 'Mazapiltepec de Juárez', 'Mixtla', 'Molcaxac', 'Naupan', 'Nauzontla', 'Nealtican', 'Nicolás Bravo', 'Nopalucan', 'Ocotepec', 'Ocoyucan', 'Olintla', 'Oriental', 'Pahuatlán', 'Palmar de Bravo', 'Pantepec', 'Petlalcingo', 'Piaxtla', 'Puebla', 'Quecholac', 'Quimixtlán', 'Rafael Lara Grajales', 'San Andrés Cholula', 'San Antonio Cañada', 'San Diego la Mesa Tochimiltzingo', 'San Felipe Teotlalcingo', 'San Felipe Tepatlán', 'San Gabriel Chilac', 'San Gregorio Atzompa', 'San Jerónimo Tecuanipan', 'San Jerónimo Xayacatlán', 'San José Chiapa', 'San José Miahuatlán', 'San Juan Atenco', 'San Juan Atzompa', 'San Martín Texmelucan', 'San Martín Totoltepec', 'San Matías Tlalancaleca', 'San Miguel Ixitlán', 'San Miguel Xoxtla', 'San Nicolás Buenos Aires', 'San Nicolás de los Ranchos', 'San Pablo Anicano', 'San Pedro Cholula', 'San Pedro Yeloixtlahuaca', 'San Salvador Huixcolotla', 'San Salvador el Seco', 'San Salvador el Verde', 'San Sebastián Tlacotepec', 'Santa Catarina Tlaltempan', 'Santa Inés Ahuatempan', 'Santa Isabel Cholula', 'Santiago Miahuatlán', 'Santo Tomás Hueyotlipan', 'Soltepec', 'Tecali de Herrera', 'Tecamachalco', 'Tecomatlán', 'Tehuacán', 'Tehuitzingo', 'Tenampulco', 'Teopantlán', 'Teotlalco', 'Tepanco de López', 'Tepango de Rodríguez', 'Tepatlaxco de Hidalgo', 'Tepeaca', 'Tepemaxalco', 'Tepeojuma', 'Tepetzintla', 'Tepexco', 'Tepexi de Rodríguez', 'Tepeyahualco', 'Tepeyahualco de Cuauhtémoc', 'Tetela de Ocampo', 'Teteles de Avila Castillo', 'Teziutlán', 'Tianguismanalco', 'Tilapa', 'Tlachichuca', 'Tlacotepec de Benito Juárez', 'Tlacuilotepec', 'Tlahuapan', 'Tlaltenango', 'Tlanepantla', 'Tlaola', 'Tlapacoya', 'Tlapanalá', 'Tlatlauquitepec', 'Tlaxco', 'Tochimilco', 'Tochtepec', 'Totoltepec de Guerrero', 'Tulcingo', 'Tuzamapan de Galeana', 'Tzicatlacoyan', 'Venustiano Carranza', 'Vicente Guerrero', 'Xayacatlán de Bravo', 'Xicotepec', 'Xicotlán', 'Xiutetelco', 'Xochiapulco', 'Xochiltepec', 'Xochitlán Todos Santos', 'Xochitlán de Vicente Suárez', 'Yaonáhuac', 'Yehualtepec', 'Zacapala', 'Zacapoaxtla', 'Zacatlán', 'Zapotitlán', 'Zapotitlán de Méndez', 'Zaragoza', 'Zautla', 'Zihuateutla', 'Zinacatepec', 'Zongozotla', 'Zoquiapan', 'Zoquitlán' ], 'QR' => [ 'Bacalar', 'Benito Juárez', 'Cozumel', 'Felipe Carrillo Puerto', 'Isla Mujeres', 'José María Morelos', 'Lázaro Cárdenas', 'Othón P. Blanco', 'Solidaridad', 'Tulum' ], 'QRO' => [ 'Amealco de Bonfil', 'Arroyo Seco', 'Cadereyta de Montes', 'Colón', 'Corregidora', 'El Marqués', 'Ezequiel Montes', 'Huimilpan', 'Jalpan de Serra', 'Landa de Matamoros', 'Pedro Escobedo', 'Peñamiller', 'Pinal de Amoles', 'Querétaro', 'San Joaquín', 'San Juan del Río', 'Tequisquiapan', 'Tolimán' ], 'SLP' => [ 'Ahualulco', 'Alaquines', 'Aquismón', 'Armadillo de los Infante', 'Axtla de Terrazas', 'Catorce', 'Cedral', 'Cerritos', 'Cerro de San Pedro', 'Charcas', 'Ciudad Fernández', 'Ciudad Valles', 'Ciudad del Maíz', 'Coxcatlán', 'Cárdenas', 'Ebano', 'El Naranjo', 'Guadalcázar', 'Huehuetlán', 'Lagunillas', 'Matehuala', 'Matlapa', 'Mexquitic de Carmona', 'Moctezuma', 'Rayón', 'Rioverde', 'Salinas', 'San Antonio', 'San Ciro de Acosta', 'San Luis Potosí', 'San Martín Chalchicuautla', 'San Nicolás Tolentino', 'San Vicente Tancuayalab', 'Santa Catarina', 'Santa María del Río', 'Santo Domingo', 'Soledad de Graciano Sánchez', 'Tamasopo', 'Tamazunchale', 'Tampacán', 'Tampamolón Corona', 'Tamuín', 'Tancanhuitz', 'Tanlajás', 'Tanquián de Escobedo', 'Tierra Nueva', 'Vanegas', 'Venado', 'Villa Hidalgo', 'Villa Juárez', 'Villa de Arista', 'Villa de Arriaga', 'Villa de Guadalupe', 'Villa de Ramos', 'Villa de Reyes', 'Villa de la Paz', 'Xilitla', 'Zaragoza' ], 'SIN' => [ 'Ahome', 'Angostura', 'Badiraguato', 'Choix', 'Concordia', 'Cosalá', 'Culiacán', 'El Fuerte', 'Elota', 'Escuinapa', 'Guasave', 'Mazatlán', 'Mocorito', 'Navolato', 'Rosario', 'Salvador Alvarado', 'San Ignacio', 'Sinaloa' ], 'SON' => [ 'Aconchi', 'Agua Prieta', 'Alamos', 'Altar', 'Arivechi', 'Arizpe', 'Atil', 'Bacadéhuachi', 'Bacanora', 'Bacerac', 'Bacoachi', 'Banámichi', 'Bavispe', 'Baviácora', 'Benito Juárez', 'Benjamín Hill', 'Bácum', 'Caborca', 'Cajeme', 'Cananea', 'Carbó', 'Cucurpe', 'Cumpas', 'Divisaderos', 'Empalme', 'Etchojoa', 'Fronteras', 'General Plutarco Elías Calles', 'Granados', 'Guaymas', 'Hermosillo', 'Huachinera', 'Huatabampo', 'Huásabas', 'Huépac', 'Imuris', 'La Colorada', 'Magdalena', 'Mazatán', 'Moctezuma', 'Naco', 'Nacozari de García', 'Navojoa', 'Nogales', 'Nácori Chico', 'Onavas', 'Opodepe', 'Oquitoa', 'Pitiquito', 'Puerto Peñasco', 'Quiriego', 'Rayón', 'Rosario', 'Sahuaripa', 'San Felipe de Jesús', 'San Ignacio Río Muerto', 'San Javier', 'San Luis Río Colorado', 'San Miguel de Horcasitas', 'San Pedro de la Cueva', 'Santa Ana', 'Santa Cruz', 'Soyopa', 'Suaqui Grande', 'Sáric', 'Tepache', 'Trincheras', 'Tubutama', 'Ures', 'Villa Hidalgo', 'Villa Pesqueira', 'Yécora' ], 'TAB' => [ 'Balancán', 'Centla', 'Centro', 'Comalcalco', 'Cunduacán', 'Cárdenas', 'Emiliano Zapata', 'Huimanguillo', 'Jalapa', 'Jalpa de Méndez', 'Jonuta', 'Macuspana', 'Nacajuca', 'Paraíso', 'Tacotalpa', 'Teapa', 'Tenosique' ], 'TAMPS' => [ 'Abasolo', 'Aldama', 'Altamira', 'Antiguo Morelos', 'Burgos', 'Bustamante', 'Camargo', 'Casas', 'Ciudad Madero', 'Cruillas', 'El Mante', 'González', 'Guerrero', 'Gustavo Díaz Ordaz', 'Gómez Farías', 'Güémez', 'Hidalgo', 'Jaumave', 'Jiménez', 'Llera', 'Mainero', 'Matamoros', 'Mier', 'Miguel Alemán', 'Miquihuana', 'Méndez', 'Nuevo Laredo', 'Nuevo Morelos', 'Ocampo', 'Padilla', 'Palmillas', 'Reynosa', 'Río Bravo', 'San Carlos', 'San Fernando', 'San Nicolás', 'Soto la Marina', 'Tampico', 'Tula', 'Valle Hermoso', 'Victoria', 'Villagrán', 'Xicoténcatl' ], 'TLAX' => [ 'Acuamanala de Miguel Hidalgo', 'Amaxac de Guerrero', 'Apetatitlán de Antonio Carvajal', 'Apizaco', 'Atlangatepec', 'Atltzayanca', 'Benito Juárez', 'Calpulalpan', 'Chiautempan', 'Contla de Juan Cuamatzi', 'Cuapiaxtla', 'Cuaxomulco', 'El Carmen Tequexquitla', 'Emiliano Zapata', 'Españita', 'Huamantla', 'Hueyotlipan', 'Ixtacuixtla de Mariano Matamoros', 'Ixtenco', 'La Magdalena Tlaltelulco', 'Lázaro Cárdenas', 'Mazatecochco de José María Morelos', 'Muñoz de Domingo Arenas', 'Nanacamilpa de Mariano Arista', 'Natívitas', 'Panotla', 'Papalotla de Xicohténcatl', 'San Damián Texóloc', 'San Francisco Tetlanohcan', 'San Jerónimo Zacualpan', 'San José Teacalco', 'San Juan Huactzinco', 'San Lorenzo Axocomanitla', 'San Lucas Tecopilco', 'San Pablo del Monte', 'Sanctórum de Lázaro Cárdenas', 'Santa Ana Nopalucan', 'Santa Apolonia Teacalco', 'Santa Catarina Ayometla', 'Santa Cruz Quilehtla', 'Santa Cruz Tlaxcala', 'Santa Isabel Xiloxoxtla', 'Tenancingo', 'Teolocholco', 'Tepetitla de Lardizábal', 'Tepeyanco', 'Terrenate', 'Tetla de la Solidaridad', 'Tetlatlahuca', 'Tlaxcala', 'Tlaxco', 'Tocatlán', 'Totolac', 'Tzompantepec', 'Xaloztoc', 'Xaltocan', 'Xicohtzinco', 'Yauhquemehcan', 'Zacatelco', 'Ziltlaltépec de Trinidad Sánchez Santos' ], 'VER' => [ 'Acajete', 'Acatlán', 'Acayucan', 'Actopan', 'Acula', 'Acultzingo', 'Agua Dulce', 'Alpatláhuac', 'Alto Lucero de Gutiérrez Barrios', 'Altotonga', 'Alvarado', 'Amatitlán', 'Amatlán de los Reyes', 'Angel R. Cabada', 'Apazapan', 'Aquila', 'Astacinga', 'Atlahuilco', 'Atoyac', 'Atzacan', 'Atzalan', 'Ayahualulco', 'Banderilla', 'Benito Juárez', 'Boca del Río', 'Calcahualco', 'Camarón de Tejeda', 'Camerino Z. Mendoza', 'Carlos A. Carrillo', 'Carrillo Puerto', 'Castillo de Teayo', 'Catemaco', 'Cazones de Herrera', 'Cerro Azul', 'Chacaltianguis', 'Chalma', 'Chiconamel', 'Chiconquiaco', 'Chicontepec', 'Chinameca', 'Chinampa de Gorostiza', 'Chocamán', 'Chontla', 'Chumatlán', 'Citlaltépetl', 'Coacoatzintla', 'Coahuitlán', 'Coatepec', 'Coatzacoalcos', 'Coatzintla', 'Coetzala', 'Colipa', 'Comapa', 'Cosamaloapan de Carpio', 'Cosautlán de Carvajal', 'Coscomatepec', 'Cosoleacaque', 'Cotaxtla', 'Coxquihui', 'Coyutla', 'Cuichapa', 'Cuitláhuac', 'Córdoba', 'El Higo', 'Emiliano Zapata', 'Espinal', 'Filomeno Mata', 'Fortín', 'Gutiérrez Zamora', 'Hidalgotitlán', 'Huatusco', 'Huayacocotla', 'Hueyapan de Ocampo', 'Huiloapan de Cuauhtémoc', 'Ignacio de la Llave', 'Ilamatlán', 'Isla', 'Ixcatepec', 'Ixhuacán de los Reyes', 'Ixhuatlancillo', 'Ixhuatlán de Madero', 'Ixhuatlán del Café', 'Ixhuatlán del Sureste', 'Ixmatlahuacan', 'Ixtaczoquitlán', 'Jalacingo', 'Jalcomulco', 'Jamapa', 'Jesús Carranza', 'Jilotepec', 'José Azueta', 'Juan Rodríguez Clara', 'Juchique de Ferrer', 'Jáltipan', 'La Antigua', 'La Perla', 'Landero y Coss', 'Las Choapas', 'Las Minas', 'Las Vigas de Ramírez', 'Lerdo de Tejada', 'Los Reyes', 'Magdalena', 'Maltrata', 'Manlio Fabio Altamirano', 'Mariano Escobedo', 'Martínez de la Torre', 'Mecatlán', 'Mecayapan', 'Medellín', 'Miahuatlán', 'Minatitlán', 'Misantla', 'Mixtla de Altamirano', 'Moloacán', 'Nanchital de Lázaro Cárdenas del Río', 'Naolinco', 'Naranjal', 'Naranjos Amatlán', 'Nautla', 'Nogales', 'Oluta', 'Omealca', 'Orizaba', 'Otatitlán', 'Oteapan', 'Ozuluama de Mascareñas', 'Pajapan', 'Papantla', 'Paso de Ovejas', 'Paso del Macho', 'Perote', 'Platón Sánchez', 'Playa Vicente', 'Poza Rica de Hidalgo', 'Pueblo Viejo', 'Puente Nacional', 'Pánuco', 'Rafael Delgado', 'Rafael Lucio', 'Río Blanco', 'Saltabarranca', 'San Andrés Tenejapan', 'San Andrés Tuxtla', 'San Juan Evangelista', 'San Rafael', 'Santiago Sochiapan', 'Santiago Tuxtla', 'Sayula de Alemán', 'Sochiapa', 'Soconusco', 'Soledad Atzompa', 'Soledad de Doblado', 'Soteapan', 'Tamalín', 'Tamiahua', 'Tampico Alto', 'Tancoco', 'Tantima', 'Tantoyuca', 'Tatahuicapan de Juárez', 'Tatatila', 'Tecolutla', 'Tehuipango', 'Tempoal', 'Tenampa', 'Tenochtitlán', 'Teocelo', 'Tepatlaxco', 'Tepetlán', 'Tepetzintla', 'Tequila', 'Texcatepec', 'Texhuacán', 'Texistepec', 'Tezonapa', 'Tierra Blanca', 'Tihuatlán', 'Tlachichilco', 'Tlacojalpan', 'Tlacolulan', 'Tlacotalpan', 'Tlacotepec de Mejía', 'Tlalixcoyan', 'Tlalnelhuayocan', 'Tlaltetela', 'Tlapacoyan', 'Tlaquilpa', 'Tlilapan', 'Tomatlán', 'Tonayán', 'Totutla', 'Tres Valles', 'Tuxpan', 'Tuxtilla', 'Ursulo Galván', 'Uxpanapa', 'Vega de Alatorre', 'Veracruz', 'Villa Aldama', 'Xalapa', 'Xico', 'Xoxocotla', 'Yanga', 'Yecuatla', 'Zacualpan', 'Zaragoza', 'Zentla', 'Zongolica', 'Zontecomatlán de López y Fuentes', 'Zozocolco de Hidalgo', 'Álamo Temapache' ], 'YUC' => [ 'Abalá', 'Acanceh', 'Akil', 'Baca', 'Bokobá', 'Buctzotz', 'Cacalchén', 'Calotmul', 'Cansahcab', 'Cantamayec', 'Celestún', 'Cenotillo', 'Chacsinkín', 'Chankom', 'Chapab', 'Chemax', 'Chichimilá', 'Chicxulub Pueblo', 'Chikindzonot', 'Chocholá', 'Chumayel', 'Conkal', 'Cuncunul', 'Cuzamá', 'Dzemul', 'Dzidzantún', 'Dzilam González', 'Dzilam de Bravo', 'Dzitás', 'Dzoncauich', 'Dzán', 'Espita', 'Halachó', 'Hocabá', 'Hoctún', 'Homún', 'Huhí', 'Hunucmá', 'Ixil', 'Izamal', 'Kanasín', 'Kantunil', 'Kaua', 'Kinchil', 'Kopomá', 'Mama', 'Maní', 'Maxcanú', 'Mayapán', 'Mocochá', 'Motul', 'Muna', 'Muxupip', 'Mérida', 'Opichén', 'Oxkutzcab', 'Panabá', 'Peto', 'Progreso', 'Quintana Roo', 'Río Lagartos', 'Sacalum', 'Samahil', 'San Felipe', 'Sanahcat', 'Santa Elena', 'Seyé', 'Sinanché', 'Sotuta', 'Sucilá', 'Sudzal', 'Suma', 'Tahdziú', 'Tahmek', 'Teabo', 'Tecoh', 'Tekal de Venegas', 'Tekantó', 'Tekax', 'Tekit', 'Tekom', 'Telchac Pueblo', 'Telchac Puerto', 'Temax', 'Temozón', 'Tepakán', 'Tetiz', 'Teya', 'Ticul', 'Timucuy', 'Tinum', 'Tixcacalcupul', 'Tixkokob', 'Tixmehuac', 'Tixpéhual', 'Tizimín', 'Tunkás', 'Tzucacab', 'Uayma', 'Ucú', 'Umán', 'Valladolid', 'Xocchel', 'Yaxcabá', 'Yaxkukul', 'Yobaín' ], 'ZAC' => [ 'Apozol', 'Apulco', 'Atolinga', 'Benito Juárez', 'Calera', 'Cañitas de Felipe Pescador', 'Chalchihuites', 'Concepción del Oro', 'Cuauhtémoc', 'El Plateado de Joaquín Amaro', 'El Salvador', 'Fresnillo', 'Genaro Codina', 'General Enrique Estrada', 'General Francisco R. Murguía', 'General Pánfilo Natera', 'Guadalupe', 'Huanusco', 'Jalpa', 'Jerez', 'Jiménez del Teul', 'Juan Aldama', 'Juchipila', 'Loreto', 'Luis Moya', 'Mazapil', 'Melchor Ocampo', 'Mezquital del Oro', 'Miguel Auza', 'Momax', 'Monte Escobedo', 'Morelos', 'Moyahua de Estrada', 'Nochistlán de Mejía', 'Noria de Ángeles', 'Ojocaliente', 'Pinos', 'Pánuco', 'Río Grande', 'Sain Alto', 'Santa María de la Paz', 'Sombrerete', 'Susticacán', 'Tabasco', 'Tepechitlán', 'Tepetongo', 'Teúl de González Ortega', 'Tlaltenango de Sánchez Román', 'Trancoso', 'Trinidad García de la Cadena', 'Valparaíso', 'Vetagrande', 'Villa García', 'Villa González Ortega', 'Villa Hidalgo', 'Villa de Cos', 'Villanueva', 'Zacatecas' ] }.freeze end end ffaker-2.8.1/lib/ffaker/identification_es_cl.rb0000644000004100000410000000141413233715167021507 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/identification_es' module FFaker module IdentificationESCL extend IdentificationES extend ModuleUtils extend self # RUT is the Chilean ID, followed by format: XX.XXX.XXX - Y # http://es.wikipedia.org/wiki/Rol_%C3%9Anico_Tributario # # The last Y is a modulo 11 validation code. In the case the result is 10, it will be replaced by a 'K' character def rut # Rut is gonna be between 1.000.000 and 24.999.999 n = rand(1_000_000...25_000_000) "#{n}-#{dv(n)}" end private def dv(rut) total = rut.to_s.rjust(8, '0').split(//).zip(%w[3 2 7 6 5 4 3 2]).collect { |a, b| a.to_i * b.to_i }.inject(:+) (11 - total % 11).to_s.gsub(/10/, 'k').gsub(/11/, '0') end end end ffaker-2.8.1/lib/ffaker/locale.rb0000644000004100000410000000106413233715167016611 0ustar www-datawww-data# encoding: utf-8 module FFaker module Locale extend ModuleUtils extend self def code(given_language = nil) code_index = LANGUAGE.index(given_language) if given_language && code_index LANGUAGE_CODE[code_index] else fetch_sample(LANGUAGE_CODE) end end def language(given_code = nil) language_index = LANGUAGE_CODE.index(given_code && given_code.upcase) if given_code && language_index LANGUAGE[language_index] else fetch_sample(LANGUAGE) end end end end ffaker-2.8.1/lib/ffaker/lorem.rb0000644000004100000410000000172213233715167016471 0ustar www-datawww-data# encoding: utf-8 module FFaker # Based on Perl's Text::Lorem module Lorem extend ModuleUtils extend self def characters(character_count = 255) Array.new(character_count < 0 ? 0 : character_count).map { fetch_sample(CHARACTERS) }.join end def word fetch_sample(WORDS) end def words(num = 3) fetch_sample(WORDS, count: num) end def sentence(word_count = 4) first_word, *last_words = words(word_count + rand(1..5)) if last_words.nil? first_word.capitalize else "#{first_word.capitalize} #{last_words.join(' ')}." end end alias phrase sentence def sentences(sentence_count = 3) (1..sentence_count).map { sentence } end alias phrases sentences def paragraph(sentence_count = 3) sentences(sentence_count + rand(0..2)).join(' ') end def paragraphs(paragraph_count = 3) (1..paragraph_count).map { paragraph } end end end ffaker-2.8.1/lib/ffaker/phone_number_da.rb0000644000004100000410000000155413233715167020503 0ustar www-datawww-data# encoding: utf-8 module FFaker # Author: wiseleyb # Based on information from http://en.wikipedia.org/wiki/Telephone_numbers_in_Australia module PhoneNumberDA extend ModuleUtils extend self # Generates a general phone number # xxxxxxxx # def home_work_phone_number phone_number end # Generates a mobile phone number # xxxxxxxxx # def mobile_phone_number phone_number end # generates mobile or home/work number def phone_number FFaker.numerify('########') end def country_code '+45' end def international_mobile_phone_number international_phone_number end def international_home_work_phone_number international_phone_number end def international_phone_number "#{country_code} #{phone_number}" end end end ffaker-2.8.1/lib/ffaker/job_br.rb0000644000004100000410000000022613233715167016606 0ustar www-datawww-data# encoding: utf-8 module FFaker module JobBR extend ModuleUtils extend self def title fetch_sample(JOB_NOUNS) end end end ffaker-2.8.1/lib/ffaker/phone_number_au.rb0000644000004100000410000000357413233715167020530 0ustar www-datawww-data# encoding: utf-8 module FFaker # Author: wiseleyb # Based on information from http://en.wikipedia.org/wiki/Telephone_numbers_in_Australia module PhoneNumberAU extend ModuleUtils extend self # Mobile prefixes MobileOperatorsPrefix = %w[04 05].freeze # Home or Work Operator prefixes HomeWorkOperatorsPrefix = %w[02 03 07 08].freeze OperatorsPrefix = MobileOperatorsPrefix + HomeWorkOperatorsPrefix # Return a prefix in MobileOperatorsPrefix # @see FFaker::PhoneNumberAU::MobileOperatorsPrefix # def mobile_phone_prefix fetch_sample(MobileOperatorsPrefix) end # Return a prefix in HomeWorkOperatorsPrefix # @see FFaker::PhoneNumberAU::HomeWorkOperatorsPrefix # def home_work_phone_prefix fetch_sample(HomeWorkOperatorsPrefix) end def phone_prefix fetch_sample(OperatorsPrefix) end # Generates a general phone number # (0x) xxxx xxxx # def home_work_phone_number FFaker.numerify("(#{home_work_phone_prefix}) #### ####") end # Generates a mobile phone number # 04xx xxx xxx # def mobile_phone_number FFaker.numerify("#{mobile_phone_prefix}## ### ###") end # generates mobile or home/work number def phone_number case rand(0..1) when 0 then home_work_phone_number when 1 then mobile_phone_number end end def country_code '+61' end def international_mobile_phone_number FFaker.numerify("#{country_code} #{mobile_phone_prefix[1]} #### ####") end def international_home_work_phone_number FFaker.numerify("#{country_code} #{home_work_phone_prefix[1]} #### ####") end def international_phone_number case rand(0..1) when 0 then international_mobile_phone_number when 1 then international_home_work_phone_number end end end end ffaker-2.8.1/lib/ffaker/name_kr.rb0000644000004100000410000000055713233715167016774 0ustar www-datawww-data# encoding: utf-8 module FFaker module NameKR extend ModuleUtils extend self def name "#{last_name}#{first_name}" end def name_with_space "#{last_name} #{first_name}" end def first_name fetch_sample(FIRST_NAMES) end def last_name fetch_sample(LAST_NAMES) end alias last_first name end end ffaker-2.8.1/lib/ffaker/address_ru.rb0000644000004100000410000000115513233715167017506 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address' module FFaker module AddressRU include FFaker::Address extend ModuleUtils extend self POSTAL_CODE_FORMAT = ['######'].freeze STREET_NBR_FORMATS = %w[## # ###].freeze def city fetch_sample(CITY) end def province fetch_sample(PROVINCE) end def zip_code FFaker.numerify(POSTAL_CODE_FORMAT) end def street_name fetch_sample(STREET) end def street_address "#{street_name}, д. #{street_number}" end def street_number FFaker.numerify(STREET_NBR_FORMATS) end end end ffaker-2.8.1/lib/ffaker/address_ua.rb0000644000004100000410000000222613233715167017465 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address' module FFaker module AddressUA extend ModuleUtils extend self POSTAL_CODE_FORMAT = ['#####'].freeze BUILDING_NUMBER_FORMATS = %w[## # ###].freeze APPARTMENT_NUMBER_FORMATS = %w[# ## ###].freeze def country fetch_sample(COUNTRY) end def city fetch_sample(CITY) end def province fetch_sample(PROVINCE) end def zip_code numerify_mask(POSTAL_CODE_FORMAT, true) end def street_name "вул. #{fetch_sample(STREET)}" end def street_address(include_secondary = false) str = "#{street_name}, #{building_number}" str << ", кв. #{appartment_number}" if include_secondary str end def building_number numerify_mask(BUILDING_NUMBER_FORMATS) end def appartment_number numerify_mask(APPARTMENT_NUMBER_FORMATS) end private def numerify_mask(masks_arr, allow_first_zero = false) if allow_first_zero FFaker.numerify(masks_arr) else fetch_sample(masks_arr).sub(/#/) { rand(1..9).to_s }.gsub(/#/) { rand(0..9).to_s } end end end end ffaker-2.8.1/lib/ffaker/address_fr.rb0000644000004100000410000000160313233715167017465 0ustar www-datawww-data# encoding: utf-8 require 'ffaker/address' module FFaker module AddressFR include FFaker::Address extend ModuleUtils extend self NUM = ['#', '##', '##', '###', '####', '#-##'].freeze MOD = [' B', ' T', ' Q', ' BIS', ' TER', ' QUATER', '', '', '', ''].freeze SEP = [', ', ' '].freeze TYPE = %w[rue avenue av boulevard bd impasse].freeze POSTAL_CODE_FORMATS = ['####', '#####', '97####', '2A###', '2B###'].freeze def street_address FFaker.numerify(fetch_sample(NUM)) + fetch_sample(MOD) + fetch_sample(SEP) + fetch_sample(TYPE) + ' ' + FFaker::NameFR.name end def postal_code FFaker.numerify(fetch_sample(POSTAL_CODE_FORMATS)) end def city fetch_sample(CITY) end def full_address %(#{street_address}#{fetch_sample(SEP)}#{postal_code} #{fetch_sample(CITY)}) end end end ffaker-2.8.1/lib/ffaker/name_th.rb0000644000004100000410000000056513233715167016772 0ustar www-datawww-data# encoding: utf-8 module FFaker # Source: http://www.thai-language.com/ module NameTH extend ModuleUtils extend self def first_name fetch_sample(FIRST_NAMES) end def last_name fetch_sample(LAST_NAMES) end def nick_name fetch_sample(NICK_NAMES) end def name "#{first_name} #{last_name}" end end end ffaker-2.8.1/scripts/0000755000004100000410000000000013233715167014507 5ustar www-datawww-dataffaker-2.8.1/scripts/reference.rb0000644000004100000410000000401213233715167016767 0ustar www-datawww-data$LOAD_PATH << File.dirname(__FILE__) + '/../lib' require 'ffaker' ICONS = { error: '‼️', warning: '❗' }.freeze # Get a list of sections def faker_modules FFaker.constants.sort.map do |const| mod = FFaker.const_get(const) next unless mod.is_a?(Module) next if mod == FFaker::ArrayUtils next if mod == FFaker::ModuleUtils next if mod == FFaker::RandomUtils next if mod == FFaker::Random mod end.compact end # Returns faker methods for a given module def faker_methods(mod) methods = mod.methods - Module.methods - %i[k underscore fetch_sample rand shuffle unique] # For Company.name (et al), don't discard :name if it was reimplemented methods << :name if mod.send(:name) != mod.to_s methods end # Catch deprecation warnings. # This `#warn` overrides Kernel#warn def warn(msg) $warnings << msg if $warnings end def catch_warnings $warnings = [] [yield, $warnings] end def escape(str) str.gsub('&', '&').gsub('<', '<').gsub('>', '>').delete("\n") end sections = faker_modules.map do |mod| lines = [] methods = faker_methods(mod) lines << "## #{mod}" lines << '' lines << '| Method | Example |' lines << '| ------ | ------- |' methods.sort.each do |meth| arity = mod.method(meth).arity left = "`#{meth}`" right = '' if arity > 0 left = "`#{meth}`(#{Array.new(arity) { '...' }.join(', ')})" else begin examples, warnings = catch_warnings do Array.new(3) { mod.send meth } end right = if warnings.any? "#{ICONS[:warning]} *#{warnings.first}*" else (escape examples.join(', ')).to_s end rescue => e right = "#{ICONS[:error]} #{e.class}: #{e.message}" end end lines << "| #{left} | #{right} |" end lines << '' end puts '# FFaker reference' puts '' faker_modules.each do |mod| name = mod.to_s.downcase.delete(':') puts " * [#{mod}](##{name})" end puts '' puts sections.flatten.join("\n") ffaker-2.8.1/scripts/benchmark.rb0000644000004100000410000000053413233715167016770 0ustar www-datawww-datarequire 'rubygems' require 'benchmark' N = 10_000 def run(name) require name Benchmark.bm do |rep| rep.report("generating #{N} names (#{name} #{FFaker::VERSION})") do N.times do FFaker::Name.name end end end $stdout.flush exit(0) end fork { run('faker') }; Process.wait fork { run('ffaker') }; Process.wait ffaker-2.8.1/scripts/profile.sh0000644000004100000410000000007413233715167016504 0ustar www-datawww-data#!/bin/sh ruby-prof -pcall_tree -fprofile.data profiling.rb ffaker-2.8.1/scripts/profiling.rb0000644000004100000410000000014413233715167017024 0ustar www-datawww-datarequire File.dirname(__FILE__) + '/../lib/faker' N = 1_000_000 N.times do FFaker::Name.name end ffaker-2.8.1/REFERENCE.md0000644000004100000410000061632213233715167014652 0ustar www-datawww-data# FFaker reference * [FFaker::AWS](#ffakeraws) * [FFaker::Address](#ffakeraddress) * [FFaker::AddressAU](#ffakeraddressau) * [FFaker::AddressBR](#ffakeraddressbr) * [FFaker::AddressCA](#ffakeraddressca) * [FFaker::AddressCH](#ffakeraddressch) * [FFaker::AddressCHDE](#ffakeraddresschde) * [FFaker::AddressCHFR](#ffakeraddresschfr) * [FFaker::AddressCHIT](#ffakeraddresschit) * [FFaker::AddressDA](#ffakeraddressda) * [FFaker::AddressDE](#ffakeraddressde) * [FFaker::AddressFI](#ffakeraddressfi) * [FFaker::AddressFR](#ffakeraddressfr) * [FFaker::AddressGR](#ffakeraddressgr) * [FFaker::AddressID](#ffakeraddressid) * [FFaker::AddressIN](#ffakeraddressin) * [FFaker::AddressJA](#ffakeraddressja) * [FFaker::AddressKR](#ffakeraddresskr) * [FFaker::AddressMX](#ffakeraddressmx) * [FFaker::AddressNL](#ffakeraddressnl) * [FFaker::AddressPL](#ffakeraddresspl) * [FFaker::AddressRU](#ffakeraddressru) * [FFaker::AddressSE](#ffakeraddressse) * [FFaker::AddressSN](#ffakeraddresssn) * [FFaker::AddressUA](#ffakeraddressua) * [FFaker::AddressUK](#ffakeraddressuk) * [FFaker::AddressUS](#ffakeraddressus) * [FFaker::Airline](#ffakerairline) * [FFaker::Animal](#ffakeranimal) * [FFaker::Avatar](#ffakeravatar) * [FFaker::BaconIpsum](#ffakerbaconipsum) * [FFaker::Book](#ffakerbook) * [FFaker::Boolean](#ffakerboolean) * [FFaker::CheesyLingo](#ffakercheesylingo) * [FFaker::Color](#ffakercolor) * [FFaker::ColorUA](#ffakercolorua) * [FFaker::Company](#ffakercompany) * [FFaker::CompanyCN](#ffakercompanycn) * [FFaker::CompanyIT](#ffakercompanyit) * [FFaker::CompanySE](#ffakercompanyse) * [FFaker::Conference](#ffakerconference) * [FFaker::CoursesFR](#ffakercoursesfr) * [FFaker::Currency](#ffakercurrency) * [FFaker::DizzleIpsum](#ffakerdizzleipsum) * [FFaker::Education](#ffakereducation) * [FFaker::Filesystem](#ffakerfilesystem) * [FFaker::Food](#ffakerfood) * [FFaker::Gender](#ffakergender) * [FFaker::GenderBR](#ffakergenderbr) * [FFaker::GenderCN](#ffakergendercn) * [FFaker::GenderID](#ffakergenderid) * [FFaker::GenderKR](#ffakergenderkr) * [FFaker::Geolocation](#ffakergeolocation) * [FFaker::Guid](#ffakerguid) * [FFaker::HTMLIpsum](#ffakerhtmlipsum) * [FFaker::HealthcareIpsum](#ffakerhealthcareipsum) * [FFaker::HipsterIpsum](#ffakerhipsteripsum) * [FFaker::Identification](#ffakeridentification) * [FFaker::IdentificationBR](#ffakeridentificationbr) * [FFaker::IdentificationES](#ffakeridentificationes) * [FFaker::IdentificationESCL](#ffakeridentificationescl) * [FFaker::IdentificationESCO](#ffakeridentificationesco) * [FFaker::IdentificationKr](#ffakeridentificationkr) * [FFaker::IdentificationMX](#ffakeridentificationmx) * [FFaker::Internet](#ffakerinternet) * [FFaker::InternetSE](#ffakerinternetse) * [FFaker::Job](#ffakerjob) * [FFaker::JobBR](#ffakerjobbr) * [FFaker::JobCN](#ffakerjobcn) * [FFaker::JobFR](#ffakerjobfr) * [FFaker::JobJA](#ffakerjobja) * [FFaker::JobKR](#ffakerjobkr) * [FFaker::JobVN](#ffakerjobvn) * [FFaker::Locale](#ffakerlocale) * [FFaker::Lorem](#ffakerlorem) * [FFaker::LoremAR](#ffakerloremar) * [FFaker::LoremCN](#ffakerloremcn) * [FFaker::LoremFR](#ffakerloremfr) * [FFaker::LoremJA](#ffakerloremja) * [FFaker::LoremKR](#ffakerloremkr) * [FFaker::LoremRU](#ffakerloremru) * [FFaker::LoremUA](#ffakerloremua) * [FFaker::Movie](#ffakermovie) * [FFaker::Music](#ffakermusic) * [FFaker::Name](#ffakername) * [FFaker::NameAR](#ffakernamear) * [FFaker::NameBR](#ffakernamebr) * [FFaker::NameCN](#ffakernamecn) * [FFaker::NameCS](#ffakernamecs) * [FFaker::NameDA](#ffakernameda) * [FFaker::NameDE](#ffakernamede) * [FFaker::NameFR](#ffakernamefr) * [FFaker::NameGA](#ffakernamega) * [FFaker::NameGR](#ffakernamegr) * [FFaker::NameID](#ffakernameid) * [FFaker::NameIT](#ffakernameit) * [FFaker::NameJA](#ffakernameja) * [FFaker::NameKH](#ffakernamekh) * [FFaker::NameKR](#ffakernamekr) * [FFaker::NameMX](#ffakernamemx) * [FFaker::NameNB](#ffakernamenb) * [FFaker::NameNL](#ffakernamenl) * [FFaker::NamePH](#ffakernameph) * [FFaker::NamePL](#ffakernamepl) * [FFaker::NameRU](#ffakernameru) * [FFaker::NameSE](#ffakernamese) * [FFaker::NameSN](#ffakernamesn) * [FFaker::NameTH](#ffakernameth) * [FFaker::NameTHEN](#ffakernamethen) * [FFaker::NameUA](#ffakernameua) * [FFaker::NameVN](#ffakernamevn) * [FFaker::NatoAlphabet](#ffakernatoalphabet) * [FFaker::PhoneNumber](#ffakerphonenumber) * [FFaker::PhoneNumberAU](#ffakerphonenumberau) * [FFaker::PhoneNumberBR](#ffakerphonenumberbr) * [FFaker::PhoneNumberCH](#ffakerphonenumberch) * [FFaker::PhoneNumberCU](#ffakerphonenumbercu) * [FFaker::PhoneNumberDA](#ffakerphonenumberda) * [FFaker::PhoneNumberDE](#ffakerphonenumberde) * [FFaker::PhoneNumberFR](#ffakerphonenumberfr) * [FFaker::PhoneNumberID](#ffakerphonenumberid) * [FFaker::PhoneNumberIT](#ffakerphonenumberit) * [FFaker::PhoneNumberKR](#ffakerphonenumberkr) * [FFaker::PhoneNumberMX](#ffakerphonenumbermx) * [FFaker::PhoneNumberNL](#ffakerphonenumbernl) * [FFaker::PhoneNumberSE](#ffakerphonenumberse) * [FFaker::PhoneNumberSG](#ffakerphonenumbersg) * [FFaker::PhoneNumberSN](#ffakerphonenumbersn) * [FFaker::Product](#ffakerproduct) * [FFaker::SSN](#ffakerssn) * [FFaker::SSNMX](#ffakerssnmx) * [FFaker::SSNSE](#ffakerssnse) * [FFaker::Skill](#ffakerskill) * [FFaker::Sport](#ffakersport) * [FFaker::String](#ffakerstring) * [FFaker::Time](#ffakertime) * [FFaker::Tweet](#ffakertweet) * [FFaker::UniqueUtils](#ffakeruniqueutils) * [FFaker::Unit](#ffakerunit) * [FFaker::UnitEnglish](#ffakerunitenglish) * [FFaker::UnitMetric](#ffakerunitmetric) * [FFaker::Vehicle](#ffakervehicle) * [FFaker::Venue](#ffakervenue) * [FFaker::Youtube](#ffakeryoutube) ## FFaker::AWS | Method | Example | | ------ | ------- | | `instance_tenancy` | host, dedicated, dedicated | | `instance_type` | m1.small, hi1.4xlarge, m2.4xlarge | | `offering_type` | Light Utilization, Light Utilization, Partial Upfront | | `product_description` | SUSE Linux, Red Hat Enterprise Linux (Amazon VPC), Windows with SQL Server Web (Amazon VPC) | ## FFaker::Address | Method | Example | | ------ | ------- | | `building_number` | 0645, 91341, 969 | | `city` | Glenntown, Mauricemouth, Metzton | | `city_prefix` | Lake, New, West | | `city_suffix` | fort, port, side | | `country` | Colombia, Kazakhstan, CuraÇao | | `country_code` | AZ, DZ, ER | | `neighborhood` | Florissant West, Kingsbridge Heights, Babylon Bayside | | `secondary_address` | Apt. 075, Suite 049, Suite 217 | | `street_address` | 670 Weissnat Plain, 1025 Rubin Row, 59922 Williamson Locks | | `street_name` | Leannon Ridges, Albertha Spurs, Schiller Stream | | `street_suffix` | Forges, Crescent, Burgs | | `time_zone` | America/Mazatlan, America/Monterrey, Asia/Jakarta | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | ❗ *[zip_code] is deprecated. For US addresses please use the AddressUS module* | ## FFaker::AddressAU | Method | Example | | ------ | ------- | | `building_number` | 07335, 59129, 7885 | | `city` | East Altonside, Eugenestad, North Loraside | | `city_prefix` | East, North, Port | | `city_suffix` | chester, view, burgh | | `country` | Faroe Islands, Lesotho, Tuvalu | | `country_code` | IS, BF, AE | | `full_address` | 1247 Roberts Park, Bendigo VIC 7310, 4259 Rosenbaum Mall, O'Connor ACT 0830, 6937 Luettgen Groves, Glenorchy TAS 6160 | | `neighborhood` | Pound Ridge East, North East Irwindale, Summerlin North | | `postcode` | 2340, 5000, 7310 | | `secondary_address` | Apt. 080, Suite 023, Suite 781 | | `state` | South Australia, Victoria, Victoria | | `state_abbr` | ACT, SA, TAS | | `street_address` | 019 Maybell Gardens, 7516 Hellen Stream, 986 Kozey Unions | | `street_name` | Dooley Camp, Bergstrom Shore, Arianna Parkways | | `street_suffix` | Shoal, Forest, Ridges | | `suburb` | Burnie, Palmerston, Murray Bridge | | `time_zone` | Australia/Brisbane, Australia/Melbourne, Australia/Hobart | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | ❗ *[zip_code] is deprecated. For US addresses please use the AddressUS module* | ## FFaker::AddressBR | Method | Example | | ------ | ------- | | `building_number` | 6816, 512, 8223 | | `city` | Linhares, São João de Meriti, Florianópolis | | `city_prefix` | West, East, East | | `city_suffix` | port, burgh, haven | | `country` | Cook Islands, Haiti, Solomon Islands | | `country_code` | AX, CM, TM | | `full_address` | Travessa Daisi Farias, 2566, Parintins, Distrito Federal, Brazil, Avenida Pascoal Martins da Luz, 005, Caxias do Sul, Paraná, Brazil, Avenida Eleonora Viana Costa, 6513, Abaetetuba, Santa Catarina, Brazil | | `neighborhood` | Olmsted Falls Central, White Oak South of Columbia Pike, phoenix | | `secondary_address` | Suite 145, Apt. 835, Apt. 771 | | `state` | Mato Grosso do Sul, Santa Catarina, Rio Grande do Norte | | `state_abbr` | SE, RS, AL | | `street` | Rua Ecila da Mata da Costa, Rua Anália Melo Porto, Alameda Zanir Pereira | | `street_address` | 98527 Gaylord Circles, 65447 Tawanda Dam, 62318 Juan Glen | | `street_name` | Elsie Centers, Fausto Greens, Towne Streets | | `street_prefix` | Alameda, Travessa, Avenida | | `street_suffix` | Lake, Ranch, Way | | `time_zone` | Australia/Perth, Europe/Moscow, Asia/Kuala_Lumpur | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | 30213-023, 39028-426, 53708-280 | ## FFaker::AddressCA | Method | Example | | ------ | ------- | | `building_number` | 73763, 580, 04745 | | `city` | La Tuque, Kamloops , Quinte West | | `city_prefix` | East, North, Lake | | `city_suffix` | borough, furt, stad | | `country` | Finland, El Salvador, Armenia | | `country_code` | TV, PG, GD | | `neighborhood` | Ocean Parkway South, Summerlin North, Olmsted Falls Central | | `postal_code` | S4R 3R3, C2K 9V2, G0T 8G2 | | `province` | Nunavut, Saskatchewan, British Columbia | | `province_abbr` | NB, BC, NB | | `secondary_address` | Suite 971, Apt. 561, Apt. 686 | | `street_address` | 117 Serina Courts, 99097 Stehr Mount, 49501 Gutmann Landing | | `street_name` | Conrad Canyon, Gricelda Mission, Margurite Ridges | | `street_suffix` | Garden, Plains, Spur | | `time_zone` | Europe/Prague, Pacific/Fakaofo, Pacific/Auckland | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | ❗ *[zip_code] is deprecated. For US addresses please use the AddressUS module* | ## FFaker::AddressCH | Method | Example | | ------ | ------- | | `building_number` | 358, 1286, 40256 | | `canton_abbr` | ZG, AG, OW | | `city` | Carlottaview, East Jonellmouth, Markitaville | | `city_prefix` | East, South, Lake | | `city_suffix` | berg, fort, ton | | `country` | Jamaica, Mauritius, Burundi | | `country_code` | VI, CC, HR | | `neighborhood` | Far Rockaway/Bayswater, Cipriani, Mott Haven/Port Morris | | `postal_code` | 8310, 5680, 6906 | | `secondary_address` | Apt. 317, Suite 804, Apt. 173 | | `street_address` | 391 Palmira Circle, 459 Marcelina Valley, 432 Walter Junction | | `street_name` | Joella Center, Armando Spurs, Lehner Forks | | `street_suffix` | Extensions, Bridge, Plains | | `time_zone` | Asia/Kolkata, Asia/Magadan, Asia/Rangoon | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | ❗ *[zip_code] is deprecated. For US addresses please use the AddressUS module* | ## FFaker::AddressCHDE | Method | Example | | ------ | ------- | | `building_number` | 4413, 37145, 509 | | `canton` | Jura, Appenzell Ausserrhoden, Basel-Landschaft | | `canton_abbr` | GE, UR, OW | | `city` | Haleyside, Arnulfochester, Lake Sammyshire | | `city_prefix` | Port, North, East | | `city_suffix` | shire, side, mouth | | `country` | Swaziland, Ghana, Tonga | | `country_code` | OM, FR, HR | | `neighborhood` | Pound Ridge East, Allegheny West, Sea Ranch Lakes | | `postal_code` | 8495, 2273, 7734 | | `secondary_address` | Suite 351, Apt. 762, Apt. 300 | | `street_address` | 806 Yuko Plains, 258 Roxanne Burg, 9490 Wunsch Lock | | `street_name` | Wuckert Mountains, Macejkovic Cove, Nigel Valley | | `street_suffix` | Cove, Estates, Dale | | `time_zone` | Asia/Bangkok, America/Argentina/Buenos_Aires, Atlantic/Cape_Verde | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | ❗ *[zip_code] is deprecated. For US addresses please use the AddressUS module* | ## FFaker::AddressCHFR | Method | Example | | ------ | ------- | | `building_number` | 16470, 782, 597 | | `canton` | Soleure, Uri, Thurgovie | | `canton_abbr` | SZ, GR, TI | | `city` | Gastonmouth, Lake Cassandrachester, Schneidermouth | | `city_prefix` | East, East, Lake | | `city_suffix` | bury, ton, mouth | | `country` | Romania, Eritrea, Andorra | | `country_code` | RO, HK, BO | | `neighborhood` | Olmsted Falls Central, Cleveland Park, West Covina East | | `postal_code` | 6476, 0363, 2889 | | `secondary_address` | Apt. 969, Suite 738, Suite 168 | | `street_address` | 67852 Dibbert Shore, 372 Wilkinson Viaduct, 8537 Kamilah Underpass | | `street_name` | Young Radial, Robin Hill, Jeannie Grove | | `street_suffix` | Tunnel, Hollow, Islands | | `time_zone` | America/Mexico_City, America/Guatemala, America/Argentina/Buenos_Aires | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | ❗ *[zip_code] is deprecated. For US addresses please use the AddressUS module* | ## FFaker::AddressCHIT | Method | Example | | ------ | ------- | | `building_number` | 25429, 143, 09795 | | `canton` | Basilea Campagna, Giura, Basilea Città | | `canton_abbr` | LU, VS, BS | | `city` | Pourosport, Tarahmouth, Jedton | | `city_prefix` | North, North, North | | `city_suffix` | stad, bury, haven | | `country` | Algeria, Italy, Russian Federation | | `country_code` | TD, AD, LC | | `neighborhood` | Auburn North, Olmsted Falls Central, Ocean Parkway South | | `postal_code` | 5522, 0012, 1214 | | `secondary_address` | Apt. 237, Suite 182, Apt. 375 | | `street_address` | 474 Sunday Stream, 173 Rath Forest, 020 Hoeger Bridge | | `street_name` | Smitham Shoal, Hintz Ville, Predovic Squares | | `street_suffix` | Meadow, Orchard, Ports | | `time_zone` | Australia/Canberra, Europe/Sarajevo, Asia/Karachi | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | ❗ *[zip_code] is deprecated. For US addresses please use the AddressUS module* | ## FFaker::AddressDA | Method | Example | | ------ | ------- | | `building_number` | 35534, 8743, 665 | | `city` | Aabenraa, Tikøb, Herlev | | `city_prefix` | South, East, East | | `city_suffix` | ville, side, burgh | | `country` | Uganda, Bonaire, Sint Eustatius and Saba, Ecuador | | `country_code` | JO, SO, UM | | `full_address` | Bøgekrattet 23 6659 Bagenkop Hovedstaden DANMARK, Bremertoften 35 9001 Viborg Midtjylland DANMARK, Skovbovænget 31 5044 Asaa Nordjylland DANMARK | | `kommune` | Hillerød, Jammerbugt, Struer | | `neighborhood` | Central Chandler, Sea Ranch Lakes, East of Telegraph Road | | `post_nr` | 2605, 3176, 9167 | | `region` | Nordjylland, Sjælland, Nordjylland | | `secondary_address` | Suite 621, Apt. 071, Apt. 908 | | `state` | Svendborg, Hillerød, Skive | | `street_address` | Myremosevej 0, Bondehøjvej 28, Skov Alle 46 | | `street_name` | Nordre Strandvej, Mosedalen, Sengeløsevej | | `street_suffix` | Rapids, Courts, Forks | | `time_zone` | Asia/Chongqing, America/Phoenix, America/Phoenix | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | 4586, 7701, 2837 | ## FFaker::AddressDE | Method | Example | | ------ | ------- | | `building_number` | 59158, 5785, 62680 | | `city` | Hattingen, Hockenheim, Loebejuen | | `city_prefix` | Lake, New, North | | `city_suffix` | berg, ville, furt | | `country` | Malawi, Luxembourg, Czech Republic | | `country_code` | BR, AG, DE | | `neighborhood` | Sagaponack Seaside, Kingsbridge Heights, Dyker Heights | | `secondary_address` | Suite 319, Suite 342, Apt. 990 | | `state` | Hessen, Bremen, Baden-Wuerttemberg | | `street_address` | Yoststr. 115, Hamillgasse 156, Olinstr. 55 | | `street_name` | Eugeniostr., O'Konstr., Considinestr. | | `street_suffix` | Forges, Gardens, Crest | | `time_zone` | Europe/Amsterdam, Europe/Moscow, Asia/Tbilisi | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | 58590, 38614, 36254 | ## FFaker::AddressFI | Method | Example | | ------ | ------- | | `building_number` | 8472, 980, 6987 | | `city` | Sastamala, Pietarsaari, Kiuruvesi | | `city_prefix` | North, Port, East | | `city_suffix` | burgh, mouth, town | | `country` | Aruba, Northern Mariana Islands, Syrian Arab Republic | | `country_code` | PN, FM, KZ | | `full_address` | Isokuja 9 a 0, 15314 Nokia, SUOMI, Alhonkuja 9 a, 38104 Kaarina, SUOMI, Ristikuja 2, 12366 Kemijärvi, SUOMI | | `neighborhood` | South of Lake Ave, Mount Kisco West, West Covina East | | `random_country` | Unkari, Suomi, Ranska | | `secondary_address` | Apt. 165, Apt. 796, Apt. 448 | | `street_address` | Myllymäentie 0 b, Kivenkorvantie 1 a, Savikontie 6 a | | `street_name` | Levänmäentie, Lehtolantie, Loimaantie | | `street_nbr` | 6 b, 7, 8 a 1 | | `street_suffix` | Lodge, Mission, Cliff | | `time_zone` | Asia/Dhaka, Europe/Brussels, America/Lima | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | 91409, 08204, 12665 | ## FFaker::AddressFR | Method | Example | | ------ | ------- | | `building_number` | 8700, 022, 8378 | | `city` | Les Mureaux, Échirolles, Bagneux | | `city_prefix` | South, South, North | | `city_suffix` | land, town, haven | | `country` | Brazil, Namibia, Kenya | | `country_code` | UZ, TN, FI | | `full_address` | 7 Q impasse Susan de Bonnet, 94686 Saint-Herblain, 0-08 Q, impasse Marianne Vallet 972004 Nevers, 2905 Q boulevard Gilbert Olivier, 2A943 Aix-en-Provence | | `neighborhood` | Murray Hill, White Oak South of Columbia Pike, Gates Mills North | | `postal_code` | 97911, 974149, 2B208 | | `secondary_address` | Suite 705, Suite 165, Suite 547 | | `street_address` | 9-75 T, boulevard Suzanne de Bailly, 4-51 BIS rue Victoire Oliveira, 17 B, rue Georges Nicolas | | `street_name` | Marylin Fort, Boyer Squares, Botsford Fields | | `street_suffix` | Knoll, Stream, Motorway | | `time_zone` | Asia/Baku, Asia/Seoul, Europe/Minsk | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | ❗ *[zip_code] is deprecated. For US addresses please use the AddressUS module* | ## FFaker::AddressGR | Method | Example | | ------ | ------- | | `building_number` | 5378, 6346, 8292 | | `city` | Κορωπί, Κατερίνη, Πάτρα | | `city_prefix` | New, North, West | | `city_suffix` | furt, land, haven | | `country` | Falkland Islands (Malvinas), Pakistan, Pakistan | | `country_code` | EH, VG, JP | | `neighborhood` | South of Lake Ave, Far Rockaway/Bayswater, Pound Ridge East | | `region` | Δυτική Μακεδονία, Δυτική Μακεδονία, Κρήτη | | `secondary_address` | Suite 098, Apt. 774, Suite 633 | | `street_address` | ["Οδός", "Πάροδος"] Ευκαρπίας, 735, ["Οδός", "Πάροδος"] Ανδρούτσου Οδυσσέα, 89, ["Οδός", "Πάροδος"] Αμαζόνων, 64 | | `street_name` | Άνδρου, Ανατολικής Θράκης, Έβρου | | `street_nbr` | 1, 7, 13 | | `street_suffix` | Manors, Stream, Drive | | `time_zone` | Europe/Warsaw, America/New_York, Europe/Stockholm | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | 67656, 71521, 38802 | ## FFaker::AddressID | Method | Example | | ------ | ------- | | `building_number` | 1954, 1190, 622 | | `city` | Banda, Batu, Tasikmalaya | | `city_prefix` | West, East, Lake | | `city_suffix` | view, mouth, ville | | `country` | Slovenia, Virgin Islands, British, Saudi Arabia | | `country_code` | NI, JP, SL | | `neighborhood` | Florissant West, phoenix, Far Rockaway/Bayswater | | `secondary_address` | Suite 724, Apt. 835, Suite 566 | | `state` | Sumatera Barat, Maluku Utara, Kalimantan Tengah | | `state_abbr` | JB, SS, BA | | `street` | Jl. Ahmad Dahlan, No. 14, Jln. Abdul Wahab Hasbullah, No. 30, Jln. Sutomo, No. 75 | | `street_address` | 8190 Rohan Glen, 76603 Elton Radial, 8479 Roselyn Shoals | | `street_name` | O'Kon Via, Sharri Rapids, Jacqui Meadow | | `street_prefix` | Jl, Jl, Jl | | `street_suffix` | Inlet, Lights, Path | | `time_zone` | Asia/Tokyo, Asia/Novosibirsk, Australia/Adelaide | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | 99155, 46454, 38226 | ## FFaker::AddressIN | Method | Example | | ------ | ------- | | `building_number` | 64566, 32828, 85027 | | `city` | Ornfurt, Iolamouth, Evelinton | | `city_prefix` | Lake, East, Port | | `city_suffix` | bury, berg, mouth | | `country` | India, India, India | | `country_code` | IN, IN, IN | | `neighborhood` | Schall Circle/Lakeside Green, Schall Circle/Lakeside Green, Candlewood Country Club | | `pincode` | 944212, 336312, 495009 | | `secondary_address` | Apt. 559, Apt. 926, Suite 691 | | `state` | Jharkhand, Karnataka, Karnataka | | `state_abbr` | RJ, UK, SK | | `state_and_union_territory` | Delhi, Himachal Pradesh, Telangana | | `state_and_union_territory_abbr` | JK, AR, HR | | `street_address` | 631 Laurel Hill, 4103 Windler Orchard, 01790 Ema Fork | | `street_name` | Buckridge Circle, Margie Tunnel, Mueller Way | | `street_suffix` | Squares, Lake, Grove | | `time_zone` | Asia/Kolkata, Asia/Kolkata, Asia/Kolkata | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `union_territory` | Chandigarh, Pondicherry, Lakshadweep | | `union_territory_abbr` | DL, PY, PY | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | 989446, 348566, 208035 | ## FFaker::AddressJA | Method | Example | | ------ | ------- | | `address` | 927-0134 香川県羽村市田辺市389, 189-2012 東京都墨田区久留米市0丁目3番7号, 723-0645 奈良県氷見市中京区生駒市094 | | `building_number` | 303, 9844, 67901 | | `city` | 東かがわ市, にかほ市, 秦野市 | | `city_prefix` | West, North, New | | `city_suffix` | view, fort, bury | | `country` | French Polynesia, Liechtenstein, Ghana | | `country_code` | RO, LB, BV | | `county` | 耶麻郡, 木曽郡, 国頭郡 | | `designated_city` | 美馬市, 柏市, 善通寺市 | | `designated_city_address` | 858-3769 栃木県城陽市南区甲斐市0丁目6番4号, 520-3704 宮崎県伊達市湊区伊達市011, 493-6510 茨城県阿蘇市山科区知多市2丁目0番4号 | | `land_number` | 457, 504, 947 | | `neighborhood` | Jamaica Estates/Holliswood, Far Rockaway/Bayswater, Summerlin North | | `other_address` | 449-5668 宮崎県庄原市三笠市6丁目0番0号, 394-6193 福島県旭市湖南市3丁目7番9号, 372-7311 三重県大網白里市秦野市032 | | `postal_code` | 921-1084, 035-9470, 969-2922 | | `prefecture` | 滋賀県, 岩手県, 埼玉県 | | `secondary_address` | Apt. 601, Suite 889, Suite 992 | | `street` | 伊万里市, 魚津市, うきは市 | | `street_address` | 66264 Hackett Village, 38745 Annetta Ridges, 8942 Jones Pine | | `street_name` | Ladawn Parkway, Vonda Fall, Quigley Path | | `street_suffix` | Mount, Rue, Mills | | `time_zone` | Asia/Almaty, Europe/Helsinki, Pacific/Auckland | | `tokyo_ward` | 杉並区, 葛飾区, 杉並区 | | `tokyo_ward_address` | 750-5158 東京都文京区清瀬市9丁目3番8号, 688-9225 東京都江戸川区沼津市3丁目9番7号, 437-8989 東京都杉並区朝来市9丁目2番9号 | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `village` | 南牧村, 渡嘉敷村, 片品村 | | `ward` | 長田区, 旭区, 東灘区 | | `zip_code` | ❗ *[zip_code] is deprecated. For US addresses please use the AddressUS module* | ## FFaker::AddressKR | Method | Example | | ------ | ------- | | `address_detail` | 수열빌라 205호, 지혁마을 다 242호, 재일연립 | | `borough` | 관악구, 서대문구, 종로구 | | `building_name` | 윤중마을, 진호빌라, 병철빌라 | | `city` | 고양시 일산동구, 과천시, 이천시 | | `land_address` | 대구광역시 성동구 천혁리 4980-6, 대구광역시 은평구 남훈리 0544, 대전광역시 관악구 인혁동 1623 | | `land_number` | 9884, 4198-2, 585-57 | | `metropolitan_city` | 대전광역시, 부산광역시, 울산광역시 | | `old_postal_code` | 186-655, 395-666, 694-338 | | `postal_code` | 08822, 82044, 67827 | | `province` | 충청남도, 충청남도, 충청북도 | | `road_addess` | 울산광역시 강남구 지유8로 (유철마을), 경기도 제웅동 상윤로 (차연동), 전라북도 장연리 기룡4가 (시훈동) | | `street` | 정섭5가, 우종로, 도현거리 | | `town` | 운원동, 지윤동, 가경마을 | ## FFaker::AddressMX | Method | Example | | ------ | ------- | | `municipality` | Jonuta, Tenabo, Romita | | `postal_code` | 36893, 09570, 49247 | | `state` | Hidalgo, Durango, Sinaloa | | `state_abbr` | MEX, CHIH, BC | | `zip_code` | 64569, 05961, 32149 | ## FFaker::AddressNL | Method | Example | | ------ | ------- | | `building_number` | 7872, 0673, 553 | | `city` | Eext, Grijzegrubben, Schinveld | | `city_prefix` | Lake, West, Lake | | `city_suffix` | fort, side, borough | | `country` | Denmark, Kenya, Iceland | | `country_code` | MP, VE, GF | | `neighborhood` | Sea Ranch Lakes, South of Lake Ave, Mount Kisco West | | `postal_code` | 7144 ev, 2570 fw, 8936 yk | | `province` | Zuid-Holland, Utrecht, Drenthe | | `secondary_address` | Apt. 094, Apt. 274, Apt. 249 | | `street_address` | 641 Neomastraat, 7569 Abbottstraat, 24478 Rempelpad | | `street_name` | Gaylordstraat, Floriastraat, Isisstraat | | `street_suffix` | Mountain, Key, Mall | | `time_zone` | Australia/Sydney, Asia/Yakutsk, America/Chicago | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | 7843 ec, 5533 qp, 4097 pn | ## FFaker::AddressPL | Method | Example | | ------ | ------- | | `building_number` | 180, 79, 40 | | `city` | Kolno, Lubsko, Wąbrzeźno | | `full_address` | al. Dębogórska 8 41-234 Oświęcim, bulwar Wszystkich Świętych 76 57-127 Zielona Góra, al. Graniczna 176 58-026 Drohiczyn | | `postal_code` | 72-251, 51-005, 30-421 | | `province` | lubuskie, kujawsko-pomorskie, wielkopolskie | | `secondary_number` | m. 56, /64, m. 55 | | `square` | bulwar Jacka Kuronia, zaułek Srebrny, pasaż Honorowych Dawców Krwi | | `square_prefix` | plac, skwer, plac | | `state` | kujawsko-pomorskie, opolskie, warmińsko-mazurskie | | `street` | al. Ruska, al. Bracka, al. Żwirowa | | `street_address` | zaułek Solny 178, pasaż Czochralskiego 83, skwer gen. Pilota Stanisława Skalskiego 152 | | `street_name` | skwer Franklina D. Roosevelta, plac Opatrzności Bożej, plac Browarowy | | `street_prefix` | al., al., ul. | | `voivodeship` | małopolskie, podkarpackie, śląskie | | `voivodeship_abbr` | LU, PD, PK | | `voivodeship_capital_city` | Wrocław, Gorzów Wielkopolski, Opole | | `zip_code` | 84-278, 89-022, 00-413 | ## FFaker::AddressRU | Method | Example | | ------ | ------- | | `building_number` | 907, 15016, 173 | | `city` | Череповец, Курган, Сочи | | `city_prefix` | North, New, Port | | `city_suffix` | side, berg, haven | | `country` | Wallis and Futuna, Singapore, Niger | | `country_code` | MX, CF, SG | | `neighborhood` | East of Telegraph Road, Pennypack, Auburn North | | `province` | Курганская область, Ленинградская область, Северная Осетия - Алания | | `secondary_address` | Apt. 667, Suite 968, Suite 733 | | `street_address` | ул. Чапаева, д. 205, ул. Молодежная, д. 7, ул. Центральная, д. 9 | | `street_name` | ул. Строителей, ул. Зеленая, ул. Новая | | `street_number` | 6, 83, 7 | | `street_suffix` | Well, Pass, Rapid | | `time_zone` | America/Tijuana, Asia/Muscat, Europe/Helsinki | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | 315864, 028934, 405379 | ## FFaker::AddressSE | Method | Example | | ------ | ------- | | `building_number` | 32195, 62714, 705 | | `city` | Kalmar, Arvika, Lödöse | | `city_prefix` | North, West, North | | `city_suffix` | bury, chester, land | | `country` | Cayman Islands, Wallis and Futuna, Montenegro | | `country_code` | LS, JO, NI | | `full_address` | Tallkrogsvägen 1, 46567 Kungälv, SVERIGE, Trågvägen 5a, 03 039 Falkenberg, SVERIGE, Drivhjulsvägen 8a, 77 935 Växjö, SVERIGE | | `neighborhood` | Pennypack, River Heights, Northwest Midlothian/Midlothian Country Club | | `random_country` | Marshallöarna, Åland, Samoa | | `secondary_address` | Suite 811, Suite 907, Suite 069 | | `street_address` | Tanneforsvägen 2, Råbyvägen 0a, Bjursätragatan 0a | | `street_name` | Bifrostvägen, Banvägen, Hjalmar Danells Väg | | `street_nbr` | 6, 8, 30 | | `street_suffix` | Mall, Walks, Union | | `time_zone` | America/Argentina/Buenos_Aires, America/Los_Angeles, Europe/Paris | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | 18392, 51867, 87051 | ## FFaker::AddressSN | Method | Example | | ------ | ------- | | `arrondissement` | Fann-Point E-Amitié, Tivaouane Diacksao, Thiès Nord | | `building_number` | 1049, 029, 8161 | | `city` | South Dollie, South Carmelo, Boscochester | | `city_prefix` | West, East, Lake | | `city_suffix` | mouth, side, side | | `country` | Christmas Island, United States Minor Outlying Islands, New Zealand | | `country_code` | DK, GR, AO | | `departement` | Salemata, guediawaye, Guinguineo | | `neighborhood` | Candlewood Country Club, Florissant West, Far Rockaway/Bayswater | | `region` | thies, saint louis, louga | | `secondary_address` | Suite 364, Suite 699, Apt. 851 | | `street_address` | 17856 David Ford, 405 Marion Port, 1551 Evelina Valley | | `street_name` | Ami Lock, Miyoko Drives, Altenwerth Crescent | | `street_suffix` | Manor, Passage, Flats | | `time_zone` | Europe/Bucharest, America/Chicago, Asia/Shanghai | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | ❗ *[zip_code] is deprecated. For US addresses please use the AddressUS module* | ## FFaker::AddressUA | Method | Example | | ------ | ------- | | `appartment_number` | 104, 88, 5 | | `building_number` | 8, 28, 65 | | `city` | Львів, Бердянськ, Макіївка | | `country` | Гаїті, Нігерія, Сінгапур | | `province` | Одеська область, Севастополь, Київська область | | `street_address` | вул. Рудного, 85, вул. Зелена, 9, вул. Коліївщини, 40 | | `street_name` | вул. Стрийська, вул. Рудного, вул. Коліївщини | | `zip_code` | 97389, 14098, 88916 | ## FFaker::AddressUK | Method | Example | | ------ | ------- | | `building_number` | 72778, 23277, 189 | | `city` | West Aimee, Lake Burtville, O'Connershire | | `city_prefix` | South, East, North | | `city_suffix` | berg, borough, fort | | `country` | Northern Ireland, Scotland, England | | `country_code` | SH, ST, BR | | `county` | Humberside, West Midlands, County Armagh | | `neighborhood` | Olmsted Falls Central, Auburn North, Pennypack | | `postcode` | HW99 4NB, IJ23 3CE, UK72 5RH | | `secondary_address` | Apt. 093, Apt. 550, Suite 346 | | `street_address` | 733 Cummings Square, 52970 Amos Parkways, 262 Weissnat Divide | | `street_name` | Spinka Canyon, Aaron Underpass, Karren Overpass | | `street_suffix` | Grove, Knoll, Pass | | `time_zone` | Pacific/Majuro, Asia/Colombo, Europe/Sarajevo | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | ❗ *[zip_code] is deprecated. For US addresses please use the AddressUS module* | ## FFaker::AddressUS | Method | Example | | ------ | ------- | | `building_number` | 0833, 5319, 896 | | `city` | South Seth, Yanland, Deannton | | `city_prefix` | West, West, East | | `city_suffix` | stad, mouth, bury | | `continental_state` | Texas, Oklahoma, Nebraska | | `continental_state_abbr` | WY, ID, GA | | `country` | Uganda, United Arab Emirates, Chile | | `country_code` | JE, GD, CV | | `neighborhood` | Rockville East of Hungerford Dr, Kingsbridge Heights, Jamaica Estates/Holliswood | | `secondary_address` | Suite 027, Suite 021, Suite 754 | | `state` | New Jersey, California, Utah | | `state_abbr` | MT, WA, FL | | `state_and_territories_abbr` | FM, PA, CT | | `street_address` | 3302 Britni Ramp, 45193 Harvey Hill, 22935 Balistreri Highway | | `street_name` | Effertz Roads, Pat Alley, Borer Orchard | | `street_suffix` | Unions, Groves, Curve | | `time_zone` | Africa/Algiers, Europe/Paris, Asia/Yakutsk | | `uk_country` | ❗ *[uk_country] is deprecated. For UK addresses please use the AddressUK module* | | `uk_county` | ❗ *[uk_county] is deprecated. For UK addresses please use the AddressUK module* | | `uk_postcode` | ❗ *[uk_postcode] is deprecated. For UK addresses please use the AddressUK module* | | `us_state` | ❗ *[us_state] is deprecated. For US addresses please use the AddressUS module* | | `us_state_abbr` | ❗ *[state_abbr] is deprecated. For US addresses please use the AddressUS module* | | `zip_code` | 84923-1419, 89027, 47757 | ## FFaker::Airline | Method | Example | | ------ | ------- | | `flight_number` | NJE 3590, TS 1512, 3L 3877 | | `name` | Air Malta, Carpatair, Denim Air | ## FFaker::Animal | Method | Example | | ------ | ------- | | `common_name` | Swan, Emu, Mammoth | ## FFaker::Avatar | Method | Example | | ------ | ------- | | `image` | https://robohash.org/aututquod.png?size=300x300, https://robohash.org/omnisperspiciatisdoloribus.png?size=300x300, https://robohash.org/istequiafuga.png?size=300x300 | ## FFaker::BaconIpsum | Method | Example | | ------ | ------- | | `characters` | jcjmozegu3c0vj5cjtkloewbfufxmrqsuyy43u8rfbkag8q51aauto18c5hac16vhul4nq359btuosjt34oy0kxqikt4144soyc17j3f4hg8ic8icwn0jkcfzti31x2xpboysv0kjw9zfkdrhjhrn0ak6p46820v0e28eq6pnzjzunjanco3k0ojbiawvz5wpipt5gpujk4zbwhi4sgfvhnlm6td4uylciset6rrhwdgx94j79r7bxk2fgsh8rr, u0cl8avfu1t0vghdqgdkvplgfl62s58w60vlawuvwxkt60fjqwh5ns4gtf5t6dnnytixoz928w9e9guqtektxciiy79y28ebbc1zsi2f1fv25bafx0zqxyfkiqu89vt33kua7whpf0p57ut7rehs1kp6bt0x49m8cked02dppitiegf7n02yf24a495xx5676t56a59xm9m6t6vdullq9lifuja4at2h20gfffehp8941qfj7iso1txsfgbokuo, 9kjlz3xwirypmxw5v5n9cuche84uax2fglnbfaqaks3ij1uaqjp5gkhgv64oe57n2xogyjn82cpn1ge1iktv1mh5y0cqasbdcaxlzij8c10de5bqovse77u20aw3w8hs2nmrfy8wmokj4ceisyf5sgnximxqd9g9g9wohyjkan9qkzznqga42gjpix4yv4fpd58mf51a7f9x0hjufxofa5sfjbg8q08v80x7tvz9a4x6chrsitwsj0603a4o31l | | `paragraph` | Shankle tenderloin cow pork ball tip tail frankfurter. Jerky tri-tip beef ribs pancetta meatloaf. Ham beef ribs tongue Kevin shank drumstick. Chuck flank pork sirloin shoulder ground round. Kevin short loin corned beef meatloaf brisket landjaeger leberkas shankle., Drumstick bresaola venison ribeye tail pork loin porchetta. Jerky fatback pastrami t-bone venison landjaeger. Spare ribs porchetta prosciutto shankle strip steak ball tip meatloaf. Pancetta tongue venison andouille strip steak pork chop salami meatloaf doner. Porchetta pork chop Kevin ground round chuck jowl pork., Tri-tip meatball ground round prosciutto sausage cow ribeye rump. Jerky doner tail pork loin ribeye turducken brisket venison drumstick. Drumstick doner tri-tip kielbasa bacon shank meatball ribeye short ribs. | | `paragraphs` | Prosciutto hamburger pancetta jerky strip steak Kevin boudin. Beef frankfurter boudin corned beef landjaeger. Ribeye prosciutto andouille pig t-bone filet mignon., Ball tip hamburger boudin venison pork chop tail. Drumstick Kevin meatball t-bone landjaeger. Bresaola capicola meatball cow hamburger prosciutto venison leberkas., Andouille ball tip pork loin venison pastrami. Chicken salami prosciutto shank boudin. Shank pig flank sausage capicola rump bacon pork andouille. Sirloin pork chop pork belly t-bone ground round. Doner shoulder beef ribs strip steak capicola., Pork brisket strip steak boudin doner. Corned beef short ribs tenderloin turducken ball tip. Landjaeger jerky shankle fatback hamburger filet mignon. Drumstick prosciutto rump landjaeger pork chicken meatball. Jowl porchetta ball tip brisket ham shankle tail., Bresaola turducken tail drumstick venison. Ham hock biltong landjaeger short ribs pork belly doner. Chuck ground round chicken beef tongue boudin flank ham hock pork. Frankfurter pastrami pancetta fatback bresaola spare ribs kielbasa short ribs., Shank brisket pig kielbasa shankle short ribs strip steak. Doner ribeye prosciutto ball tip meatloaf tongue shankle tri-tip swine. Tenderloin cow turducken andouille pork loin sausage short loin brisket. Pig cow beef jerky sausage pork loin., Frankfurter sausage shankle jerky salami strip steak filet mignon shank. Leberkas tenderloin pig flank salami strip steak landjaeger porchetta ribeye. Pastrami sausage drumstick frankfurter pancetta prosciutto tenderloin short ribs. Filet mignon jowl bacon corned beef chicken pork belly porchetta ground round tri-tip., Tongue Kevin porchetta prosciutto t-bone turducken tri-tip. Pork belly fatback porchetta tongue sirloin jowl cow. Short ribs pig ham tri-tip kielbasa meatball Kevin. Pancetta andouille bacon drumstick shankle jowl brisket sausage. Turducken pork loin strip steak jowl flank pork chop., Chuck hamburger boudin ham hock sausage. Leberkas andouille brisket meatball turducken. Drumstick salami ground round sirloin corned beef cow. Kielbasa beef beef ribs pork loin Kevin short ribs. | | `phrase` | Porchetta jerky salami capicola short loin turducken., Pork bacon pork chop doner kielbasa chicken jerky meatloaf shankle., Shankle ground round pancetta pork chop shoulder bacon chuck prosciutto pork loin. | | `phrases` | Short ribs spare ribs sirloin turkey jowl brisket., Doner turkey biltong pig spare ribs t-bone bresaola kielbasa tail., Pork spare ribs sausage pork loin pig flank bacon., Cow prosciutto drumstick salami corned beef tail ribeye chicken., Pastrami venison ground round bresaola bacon tail., Frankfurter short ribs pig shank chuck tail., Bacon bresaola porchetta spare ribs shoulder., Drumstick pork belly shoulder tongue ground round capicola doner venison pork chop., Kielbasa meatball venison t-bone ball tip ham spare ribs corned beef. | | `sentence` | Frankfurter brisket bresaola shankle salami., Salami andouille landjaeger shankle bresaola., Capicola prosciutto beef tri-tip shank chuck. | | `sentences` | Shoulder bacon pork fatback shank turducken hamburger., Kevin cow corned beef pork belly meatball., Ball tip fatback ham beef capicola., Turkey bresaola hamburger kielbasa chuck., Strip steak ground round chuck jowl swine andouille Kevin porchetta., Shank doner jowl venison frankfurter pastrami meatloaf., Meatball pig tongue fatback drumstick beef ribs flank., Turducken turkey capicola pork ground round pork belly., Pork beef spare ribs brisket porchetta turkey. | | `word` | pork, sirloin, shank | | `words` | meatloaf, drumstick, short ribs, chicken, ham, tail, tail, andouille, rump | ## FFaker::Book | Method | Example | | ------ | ------- | | `author` | Lourdes Fahey, Teresia Harvey, Steve Mayer | | `cover` | https://robohash.org/omnisetperferendis.png?size=300x300, https://robohash.org/estquasexcepturi.png?size=300x300, https://robohash.org/remundepossimus.png?size=300x300 | | `description` | Maiores molestiae nesciunt vel numquam nam dolor minus. Nulla ea officia molestiae nihil veritatis libero ratione. Consequatur ipsa omnis totam voluptatem., Eum autem aliquam quos laudantium qui rem nihil. Aliquam omnis in sequi delectus veniam et quis. Earum quod aliquam dolor enim. Exercitationem rerum non libero pariatur quod reiciendis. Excepturi esse autem distinctio modi architecto iusto et., Sit architecto aut asperiores iure assumenda. Voluptates fuga ipsa iure totam omnis consequatur. At voluptatem repellat et eligendi similique. | | `genre` | Men's adventure, Varsity novel, Sea story | | `isbn` | 24261547512, 2380412680, 6906152214 | | `title` | A Fistful of Killer Diaries, American Thief, Season of the Bloody Hills | ## FFaker::Boolean | Method | Example | | ------ | ------- | | `maybe` | true, false, false | | `random` | true, true, true | | `sample` | true, false, true | ## FFaker::CheesyLingo | Method | Example | | ------ | ------- | | `paragraph` | Cheese paring with wine the whiter and fresher the cheese, the crisper and fruitier the wine should be say cheese wash, rinse, repeat trying too hard, unsubtle, and inauthentic with Dutch courage trying too hard, unsubtle, and inauthentic washed curd cheese coagulation of the milk protein casein the early bird may get the worm, but the second mouse gets the cheese in the trap., Blue fungi in cream Sheridans Cheesemongers coagulation of the milk protein casein blend the flour, cheese and say cheese but round cheeses are to be cut in wedges, like a cake garlic cheese biscuits cut the cheese New York cheesecake cheese paring with wine., The milky way of the early bird may get the worm, but the second mouse gets the cheese in the trap with Dutch courage cheeseparing washed curd cheese until the wheels form a white coat of penicillium moulds separate the curds from the wey dutch sandwich is like chalk and cheese the moon is made of green cheese and. | | `sentence` | Until the wheels form a white coat of penicillium mouldsNew York cheesecakewash, rinse, repeat., Of cheesy business lingothe slice of cheese is placed on top of the meat pattythe early bird may get the worm, but the second mouse gets the cheese in the trap., In an artisan farmerhouseharmful secondary metabolitesblend the flour, cheese and. | | `title` | Sharp Cows, Cheeky Coulommiers, Milky Dairy | | `word` | dairy, nutty, artisan | | `words` | cream, milk, farmer, alpine, cheesed, salty, smoked, farmer, blue, sticky, grated, nutty, DOC, cheesecake, stinky | ## FFaker::Color | Method | Example | | ------ | ------- | | `hex_code` | bb5cdb, ad9b13, a4036a | | `hsl_array` | 184, 87%, 27%, 355, 68%, 2%, 212, 41%, 24% | | `hsl_list` | 7,29%,77%, 40,64%,76%, 268,42%,36% | | `hsla_array` | 301, 56%, 81%, 0.25, 205, 35%, 58%, 0.51, 74, 87%, 92%, 0.36 | | `hsla_list` | 269,80%,26%,0.83, 349,41%,46%,0.5, 244,13%,70%,0.43 | | `name` | darkorchid, darkred, whitesmoke | | `rgb_array` | 199, 144, 205, 49, 241, 129, 105, 112, 143 | | `rgb_list` | 206,30,3, 70,156,68, 184,27,111 | | `rgba_array` | 50, 212, 236, 0.25, 90, 132, 168, 0.19, 183, 90, 52, 0.25 | | `rgba_list` | 193,120,26,0.99, 19,137,254,0.27, 111,233,178,0.65 | ## FFaker::ColorUA | Method | Example | | ------ | ------- | | `name` | лазуровий, лазурово-синій, гарбузовий | ## FFaker::Company | Method | Example | | ------ | ------- | | `bs` | harness enterprise architectures, engineer cross-media bandwidth, iterate global methodologies | | `catch_phrase` | Fully-configurable assymetric artificial intelligence, Up-sized discrete info-mediaries, Fundamental empowering attitude | | `name` | O'Reilly-Macejkovic, McGlynn-Balistreri, McCullough, Kertzmann and Gottlieb | | `position` | Assistant Secretary, Executive Marketing Director, General Manager | | `suffix` | and Sons, Inc, Inc | ## FFaker::CompanyCN | Method | Example | | ------ | ------- | | `name` | 珍舜网络公司, 隆绮教育公司, 任洋电器公司 | | `suffix` | 公司, 公司, 有限公司 | | `type` | 食品, 食品, 网络 | ## FFaker::CompanyIT | Method | Example | | ------ | ------- | | `name` | Pecora e Manzari Avvocati, Micchichè e Patrizi Ingegneri, Persichetti e Sangiorgi Avvocati | | `partita_iva` | 23865520227, 71689000017, 24454940537 | | `prefix` | Laboratorio, Studio Tecnico, Laboratorio | | `suffix` | Ingegneri, S.p.a., Avvocati | ## FFaker::CompanySE | Method | Example | | ------ | ------- | | `name` | Smitham Aktiebolag, Halvorson, Jakubowski och Dicki, Wilkinson-Jakubowski | | `suffix` | Ab, Ab, Ab | ## FFaker::Conference | Method | Example | | ------ | ------- | | `name` | Dow Jones Global Compliance Symposium 2011, Datacentre Investment Forum, Dow Jones Global Compliance Symposium 2011 | ## FFaker::CoursesFR | Method | Example | | ------ | ------- | ## FFaker::Currency | Method | Example | | ------ | ------- | | `code` | CVE, CLP, BHD | | `name` | Ouguiya, Pa'anga, Colombian Peso Unidad de Valor Real | ## FFaker::DizzleIpsum | Method | Example | | ------ | ------- | | `characters` | 5ea2cy5mwzzckl3ndtf0dd7u3do60kmzmz6p2dfy14oayhex3ol53hgsqk8jcrng8ln2fsarmfg78n29vmhsrp97fprl2xqzd3swunfedw1o5cnakmif2sevyyniiz3n3bgrtdo2vedumh8s9ptm57az3vi4obhigfelknjxb23z6zmxmd7wknhsnlzarh4z9j9gliluortzik78kncv1krqmoht446dblgom2gl37qbbb2ih6k19t61g3gagtj, bumc7zjmwk1zjz3cnl57rmb75drb34pb35bxth7byxtjozeq8m5gq9okj9xdsx4oiyot1l7pbwse3rze2xq4jmai7pzrq8phuwkgpoy9nvoyef7vv9wpczxoaxfj134hzuocse0a1oo77rguwetat4sa5q9mlcxeba2ppw0yq7fnwwv4zoewfxkjuq8zjje8vbt3a7pex3ts9grzojvrtgxj41pjxizg7l6m2f6h1v27ipz90b2zsfyluv59r8e, 5unu0vhyjkvv2ydcqamee10zsn57qe2shqce40rg5cylw2geke3zfjzg5om8i16vweki2r73awws3v8u0kfxtdfk6ejmot4uh1fw0mgem29dghqc8u0bjdak2i0auxdv2bny4gmq8gm0vdxq1c2mcl8fquvkjdrpr4rztidh0ztrcal5w26g94ebeu46z0s38nf6jjyabxfhaychqlx07jmsmf23v4sjfsiyh5dxxglctb9bcp9wi7mkrwdlf9q | | `paragraph` | Zig zag smoke Snoopy why is you rolling down the street plizzay if you was me and I was you tha shiznit. The diggy Doggfada may I roll with the Magic Johnson of rap the dopest every single one tha dizzle zig zag smoke. May i the diggy bubbles in the tub and my money on my mind roll with gold chain. Bubbles in the tub the diggy smokin' indo with my mind on my money used to sell loot. Make a few ends every single one televizzle bionic your chrome pizzle fizzle., Roll with pizzle put ya choppers up how we do it eighty degrees the dopest rizzide recognize smokin' weed. The lbc smokin' weed guess what? I love my momma fizzle you talk too much Long Beach real deal Holyfield. Drop it like it's hot the S oh yes every single one the dopest drizzle like every single day sippin' on gin and juice I love my momma. Tha shiznit drop it like it's hot bionic for the Gs smokin' weed nothing can save ya through all the drama zig zag smoke I love my momma. Your chrome the Dogg Pound every single one tha dizzle in tha hizzle the S oh yes Mr. Buckwort fo shizzle nothing can save ya., Snoopy the Dogg Pound at ease tha shiznit I love my momma you talk too much if the ride is more fly, then you must buy and my money on my mind guess what?. Nothing can save ya nasty recognize tha shiznit eighty degrees. Drizzle it's 1993 every single one the S oh yes zig zag smoke Long Beach. | | `paragraphs` | You talk too much fo shizzle waddup fo rizzle Snoop for the hustlers your chrome televizzle bionic. The magic johnson of rap fo rizzle I love my momma plizzay televizzle laid back gizzo bionic realer. Now i'm on parole plizzay zig zag smoke recognize bubbles in the tub. Bubbles in the tub Mr. Buckwort the LBC Snoopy and my money on my mind realer smokin' weed how we do it the S oh yes. Like every single day the Dogg Pound Long Beach tha shiznit zig zag smoke., Realer the dopest waddup guess what? used to sell loot real deal Holyfield in tha hizzle Snoopy. Coupe de ville and my money on my mind the Dogg Pound realness how we do it. Mr. buckwort Long Beach fo shizzle bionic the LBC fo rizzle tha dizzle. Feel the breeze sippin' on gin and juice rizzoad put ya choppers up the Dogg Pound guess what?., Realness in tha hizzle the Dogg Pound Snoopy through all the drama if the ride is more fly, then you must buy with my mind on my money nothing can save ya eighty degrees. Mr. buckwort Doggfada smokin' weed Long Beach now I'm on parole bubbles in the tub how we do it. Fo rizzle the Magic Johnson of rap rolling down the street laid back tha shiznit if you was me and I was you for the Gs it's 1993 Coupe de Ville. Gold chain the S oh yes for the hustlers Doggfada if the ride is more fly, then you must buy drizzle. Why is you with my mind on my money pizzle smokin' indo televizzle smokin' weed., Realness eighty degrees smokin' indo televizzle drop it like it's hot put ya choppers up. Fo rizzle Mr. Buckwort put ya choppers up pizzle rizzoad the LBC rolling down the street bionic. Gizzo for the hustlers in tha hizzle pizzle rolling down the street for the Gs smokin' indo the S oh yes hizzouse., Bubbles in the tub Snoop televizzle everybody got they cups pizzle if the ride is more fly, then you must buy gold chain. The dopest fizzle smokin' weed used to sell loot bubbles in the tub like every single day recognize the Magic Johnson of rap now I'm on parole. May i smokin' weed real deal Holyfield smokin' indo gizzo plizzay rolling down the street nothing can save ya. Realer televizzle if you was me and I was you used to sell loot eighty degrees., The s oh yes for the hustlers put ya choppers up pizzle waddup. Through all the drama now I'm on parole rizzoad for the hustlers at ease Snoopy if you was me and I was you rizzide. Televizzle if you was me and I was you rizzoad waddup recognize bionic. Now i'm on parole the S oh yes plizzay Snoopy may I zig zag smoke Coupe de Ville., Nasty Mr. Buckwort Snoopy waddup the LBC used to sell loot for the Gs. Make a few ends why is you feel the breeze with my mind on my money plizzay zig zag smoke bubbles in the tub. Coupe de ville rizzoad at ease I love my momma rizzide used to sell loot. Feel the breeze may I sippin' on gin and juice pizzle eighty degrees the S oh yes Snoopy with my mind on my money realness. Like every single day everybody got they cups if you was me and I was you the LBC why is you., Put ya choppers up bubbles in the tub gizzo nasty realer Doggfada. Rolling down the street at ease feel the breeze now I'm on parole if you was me and I was you bubbles in the tub smokin' weed for the hustlers. Bubbles in the tub like every single day for the Gs your chrome why is you Snoopy Doggfada., Sippin' on gin and juice in tha hizzle everybody got they cups Snoop roll with make a few ends the diggy. Drop it like it's hot real deal Holyfield Mr. Buckwort put ya choppers up rizzoad the Magic Johnson of rap. Mr. buckwort make a few ends tha shiznit fizzle the Magic Johnson of rap feel the breeze the diggy now I'm on parole. | | `phrase` | Every single one put ya choppers up gold chain televizzle at ease fo shizzle for the Gs., For the hustlers everybody got they cups the LBC drop it like it's hot tha dizzle realness gizzo it's 1993., Every single one the LBC laid back for the Gs hizzouse recognize sippin' on gin and juice. | | `phrases` | Everybody got they cups now I'm on parole drizzle in tha hizzle rolling down the street recognize real deal Holyfield your chrome I love my momma., I love my momma Mr. Buckwort waddup bubbles in the tub the Dogg Pound feel the breeze nasty drizzle., At ease gizzo make a few ends plizzay Mr. Buckwort guess what? like every single day., Used to sell loot if you was me and I was you recognize plizzay put ya choppers up with my mind on my money the dopest laid back., Drizzle televizzle Doggfada fizzle nothing can save ya., Mr. buckwort recognize nothing can save ya roll with fo rizzle for the hustlers tha shiznit your chrome., Snoop fo rizzle if the ride is more fly, then you must buy waddup eighty degrees the Magic Johnson of rap now I'm on parole., In tha hizzle put ya choppers up through all the drama how we do it tha dizzle make a few ends televizzle the diggy., Snoopy for the Gs why is you waddup like every single day tha shiznit the S oh yes used to sell loot rolling down the street. | | `sentence` | The s oh yes smokin' weed how we do it fizzle rolling down the street., Coupe de ville roll with I love my momma pizzle the Dogg Pound realness., Rizzide why is you Coupe de Ville roll with for the Gs the Magic Johnson of rap. | | `sentences` | Smokin' indo if you was me and I was you used to sell loot it's 1993 Coupe de Ville., Long beach fo rizzle smokin' indo sippin' on gin and juice the Dogg Pound like every single day Snoop everybody got they cups., Tha shiznit Coupe de Ville if you was me and I was you sippin' on gin and juice the S oh yes recognize through all the drama with my mind on my money at ease., Now i'm on parole roll with why is you Coupe de Ville nothing can save ya you talk too much and my money on my mind drop it like it's hot make a few ends., Doggfada waddup roll with plizzay now I'm on parole you talk too much your chrome., Nasty the LBC gizzo at ease recognize fo rizzle Mr. Buckwort., Through all the drama fo shizzle and my money on my mind may I smokin' weed., Fo rizzle make a few ends tha shiznit Doggfada every single one I love my momma., May i recognize nothing can save ya televizzle nasty realer everybody got they cups gizzo. | | `word` | fizzle, the diggy, televizzle | | `words` | tha dizzle, laid back, the S oh yes, rolling down the street, the LBC, recognize, if you was me and I was you, fizzle, nothing can save ya | ## FFaker::Education | Method | Example | | ------ | ------- | | `degree` | Bachelor of Fine Arts in Human Resource Development, Master of Rabbinic Studies in Human Resource Economics, Master of Mathematical Finance in Human Resource Engineering | | `degree_short` | BPharm in Business Philosophy, BEd in Industrial Science, ME in Social Philosophy | | `major` | Human Resource Economics, Business Architecture, Marketing Education | | `school` | Northville Academy, Hillville Polytechnic College, Riverside School | | `school_generic_name` | Riverwood, Indiana, Greenshore | | `school_name` | Windshore, Redwood, Whiteville | ## FFaker::Filesystem | Method | Example | | ------ | ------- | | `extension` | cssd, htmld, gifd | | `file_name` | facilis_quidem/odit.pngd, occaecati.culpa/soluta.keyd, quasi_facere/qui.xlsd | | `mime_type` | text/csv, image/pjpeg, video/x-matroska | ## FFaker::Food | Method | Example | | ------ | ------- | | `fruit` | Bartlett pear, Goji berry, Cantaloupe | | `herb_or_spice` | Saffron, Pickling Spice, Hickory Salt | | `ingredient` | Arrowroot, Land cress, Calf liver | | `meat` | Grouse, Calf liver, Pork, Bacon | | `vegetable` | Chaya, Mustard, Tepary bean | ## FFaker::Gender | Method | Example | | ------ | ------- | | `maybe` | female, female, male | | `random` | female, female, male | | `sample` | male, female, female | ## FFaker::GenderBR | Method | Example | | ------ | ------- | | `maybe` | masculino, feminino, feminino | | `random` | masculino, feminino, feminino | | `sample` | feminino, masculino, masculino | ## FFaker::GenderCN | Method | Example | | ------ | ------- | | `maybe` | 女, 男, 男 | | `random` | 女, 女, 男 | | `sample` | 女, 男, 女 | ## FFaker::GenderID | Method | Example | | ------ | ------- | | `maybe` | perempuan, laki-laki, perempuan | | `random` | laki-laki, laki-laki, perempuan | | `sample` | laki-laki, laki-laki, laki-laki | ## FFaker::GenderKR | Method | Example | | ------ | ------- | | `maybe` | 녀, 남, 녀 | | `random` | 녀, 남, 녀 | | `sample` | 녀, 녀, 녀 | ## FFaker::Geolocation | Method | Example | | ------ | ------- | | `boxed_coords`(..., ...) | | | `lat` | 40.7916523500249, 37.5758033375583, 36.2345447488 | | `lng` | -75.1786003814711, -73.9473684707957, -73.9187706945134 | ## FFaker::Guid | Method | Example | | ------ | ------- | | `guid` | 246778B1-C614-11B0-DBC7-75F5D68E87A7, 24890E1D-C26B-773B-265D-D607F793D6BF, D03CC8D5-EE31-94DF-4F3C-DC13B804A1EA | ## FFaker::HTMLIpsum | Method | Example | | ------ | ------- | | `a` | <a href="#iusto" title="Repellendus quaerat">Ad suscipit</a>, <a href="#perferendis" title="A perferendis">Praesentium sunt</a>, <a href="#quis" title="Quia incidunt">Non impedit</a> | | `body` | <h1>Ex rerum</h1><p><code>vero aliquam</code> <strong>Quod voluptas</strong> Inventore sequi sunt magni exercitationem qui sit sapiente. Odio voluptatum unde qui facilis molestiae occaecati optio. Eligendi dolor quas quidem vel nostrum. Quia quis error dolorem quod sequi voluptatem quaerat est.</p><p><code>aut qui</code> Soluta voluptas qui distinctio non voluptatem atque nemo. Laboriosam eum accusantium earum repudiandae quo dignissimos. Culpa molestiae ipsa ut et earum. Distinctio voluptas perferendis sapiente non omnis quos laudantium perspiciatis. <a href="#incidunt" title="Perferendis officia">Vel similique</a></p><p><a href="#deserunt" title="Nemo nam">Sit distinctio</a> <strong>Quia qui</strong> <code>quibusdam et</code></p><table><thead><tr><th>Ab</th><th>Ex</th><th>In</th><th>Nam</th></tr></thead><tbody><tr><td>Voluptatem</td><td>Quia</td><td>Dolore</td><td><a href="#consequatur" title="Beatae iste">Molestias id</a></td></tr></tbody></table><h2>Nihil minima</h2><ol><li>Odit quas consequatur error qui delectus corrupti incidunt dolorum. Voluptas reprehenderit officia veritatis non in velit id.</li><li>Perspiciatis distinctio repellat quaerat id. Et voluptatem veritatis quia sapiente cupiditate rerum.</li></ol><blockquote><p>Sit eveniet dolorum itaque autem rerum numquam soluta officia. Ut sint voluptate est odio iure amet. Ut earum labore dolore ut eos aliquam. Placeat aut eum ut totam odio debitis. Occaecati animi dolores et quia.<br>Nobis delectus sed autem sunt fugiat. Similique praesentium sequi recusandae hic. Illum nesciunt est mollitia consequuntur hic.<br>Quasi sunt dolores consequatur et molestias omnis suscipit. Rerum sed aspernatur iste et. Enim et ab in reiciendis voluptatibus error laudantium nam. Dolorem at et voluptas corrupti occaecati.</p></blockquote><h3>Nihil non</h3><ul><li>Quia esse laborum natus eveniet corrupti rem. Quae est reprehenderit ea repellendus dolores similique aut.</li><li>Est assumenda et in veniam saepe ut. Dolorem eligendi non itaque reiciendis harum error aut voluptas. Unde vitae consequatur aliquam corrupti est.</li><li>Voluptatum beatae occaecati velit consectetur.</li></ul><pre><code> #perferendis h1 a { display: block; width: 300px; height: 80px; } </code></pre>, <h1>In doloremque</h1><p>Sit veritatis libero nihil optio. Occaecati eius assumenda dolores neque facilis. Distinctio ea ullam dolorem at sit. Dolor non necessitatibus itaque ut laborum ea. <em>Culpa hic repellendus dolore sit quis. Ipsum reprehenderit tempore voluptate sunt delectus iure. Temporibus hic sunt excepturi asperiores sit commodi.</em> <strong>Magni voluptatibus</strong></p><p><a href="#esse" title="Molestiae fugiat">Commodi qui</a> <strong>Voluptatem quia</strong> Doloribus autem et sit illo repudiandae aspernatur cupiditate nihil. Amet voluptatum doloribus voluptatem asperiores accusamus maiores animi hic. Maxime pariatur voluptatem voluptas libero culpa et fuga repudiandae. Qui officia deleniti eveniet officiis enim enim.</p><table><thead><tr><th>Illo</th><th>Et</th><th>Dolor</th><th>Odio</th></tr></thead><tbody><tr><td>Maiores</td><td>At</td><td>Sit</td><td><a href="#assumenda" title="Quae eum">Quia qui</a></td></tr><tr><td>Est</td><td>Maiores</td><td>Incidunt</td><td><a href="#laudantium" title="Alias ipsa">Placeat voluptates</a></td></tr><tr><td>Maxime</td><td>Eius</td><td>Nam</td><td><a href="#minima" title="Doloremque id">Ut quis</a></td></tr></tbody></table><h2>Voluptatem quis</h2><ol><li>Quis voluptatem et quidem aperiam. Ut nihil ratione illo dolorem. Corrupti corporis expedita distinctio quos eveniet dolorem illum.</li><li>Deserunt quas dolor sed alias repellat porro consequatur. Est quis aperiam voluptates et quos cupiditate unde. Voluptatibus vitae corrupti dignissimos blanditiis.</li></ol><blockquote><p>Voluptas qui provident qui quis voluptas soluta voluptatem. Rerum et quis voluptas quisquam optio ratione. Voluptas animi sed quas distinctio accusamus tempora aut.<br>Nobis quo rem rerum perspiciatis. Earum cum sit officia architecto et. Aperiam fuga voluptatem ea illum. Porro enim consequatur qui vitae alias.<br>Quisquam ducimus ut qui illum eveniet velit voluptatem. In tenetur molestiae blanditiis rerum. Provident voluptatibus et quasi soluta.</p></blockquote><h3>Quia non</h3><ul><li>Temporibus magnam voluptas optio corrupti animi nisi. Amet nulla odio fugiat aut possimus. Consequatur officiis velit et eum et quia.</li><li>Numquam optio inventore ab maxime eaque et facere sint. Non labore cum placeat necessitatibus aspernatur error magnam enim. Vero ipsam quis est accusamus deserunt.</li><li>Earum odio non vitae qui alias voluptates et sapiente. Iste quis nesciunt vel facilis rem blanditiis.</li></ul><pre><code> #omnis h1 a { display: block; width: 300px; height: 80px; } </code></pre>, <h1>Optio aut</h1><p><strong>Fuga ut</strong> <code>dolor sed</code> <em>Quod qui adipisci velit fugit nihil unde. A quae est ullam dolor eum corrupti fugiat. Ea earum enim voluptatem ratione eum molestiae.</em></p><p>Nemo dolorum voluptates qui omnis. Est hic dolorum voluptate eum velit. Recusandae cum maiores velit quas ut architecto et. Rerum quisquam consectetur animi sunt saepe officiis suscipit perferendis. Esse rem quasi itaque nihil consequuntur minima. <strong>Minus rem</strong> Nostrum modi reiciendis expedita pariatur. Ut ab voluptatem voluptatem non dolorum aut quos ut. Cupiditate ab commodi esse consectetur reprehenderit est qui et. Enim aut suscipit autem maxime non sunt.</p><table><thead><tr><th>Cum</th><th>Sint</th><th>Possimus</th><th>Suscipit</th></tr></thead><tbody></tbody></table><h2>Quo unde</h2><ol><li>Et quia sunt quae sint ab dicta sed. Omnis libero nisi doloremque a vel mollitia enim sed.</li><li>Reiciendis animi modi aliquam reprehenderit sunt optio.</li><li>Sed dolor soluta rerum consequuntur cumque excepturi. Qui rem asperiores sint nesciunt. Nobis incidunt quia qui et.</li></ol><blockquote><p>Doloribus id atque unde error aliquid. Tempora ullam repellat maiores inventore fugiat. Est culpa doloremque aperiam adipisci. Nostrum neque occaecati est minus enim facere.<br>Ut dolor est eum nihil sed ut itaque. Qui aut placeat consequatur dolorum eum aspernatur. Rerum eum quaerat autem omnis. Quisquam quidem sequi vero quo. Aut consequuntur quia aut ea.<br>Aut quia amet voluptatem occaecati assumenda nisi. Quo officiis velit omnis corrupti perferendis accusantium quia. Pariatur quo eveniet adipisci sunt qui. Sit expedita tempore culpa iste necessitatibus quidem. Quia et labore molestiae quis eveniet et.</p></blockquote><h3>Provident amet</h3><ul><li>Et repudiandae ex maiores et est quia. Deserunt consectetur sed officiis vero qui non temporibus.</li></ul><pre><code> #debitis h1 a { display: block; width: 300px; height: 80px; } </code></pre> | | `dl` | <dl><dt>Maxime</dt><dd>Doloremque quis et et reiciendis molestiae sit. Tempore voluptatum nemo qui doloribus est veniam at nihil. Sapiente aperiam exercitationem adipisci perferendis est. Qui et eaque nam quo.</dd><dt>Aut</dt><dd>Aperiam in excepturi qui ut ea unde. Harum sapiente rerum neque similique quae aut. Consequatur optio sed vel similique.</dd></dl>, <dl><dt>Incidunt</dt><dd>Omnis corrupti dolores laudantium velit aut voluptates. Enim beatae explicabo sed placeat eos. Est impedit est quae et. Velit quo sit aperiam nisi vero quo corrupti.</dd><dt>Nobis</dt><dd>Blanditiis culpa optio id harum autem nihil non dolor. Laudantium maiores aut suscipit laboriosam ea praesentium sequi in. Ducimus quam inventore et dicta rerum minima consectetur. Corporis quia voluptatem mollitia molestias.</dd></dl>, <dl><dt>Enim</dt><dd>Voluptas est unde magni soluta ducimus quo aut ullam. Consequatur eos asperiores doloribus quisquam ea possimus facere accusantium. Hic nihil tempora earum neque quis quidem inventore. Ut aliquid laborum tempora repudiandae et.</dd><dt>Omnis</dt><dd>Voluptatem cupiditate tempore voluptate dolorem pariatur ex et corrupti. Commodi quia omnis minima nam incidunt consequuntur voluptatibus harum.</dd></dl> | | `fancy_string` | <code>commodi quisquam</code> <em>Non voluptates necessitatibus vitae ratione. Natus eius quis dolorum voluptatum sunt eos molestiae dolores. Fuga dolor ipsum voluptates aliquid est occaecati incidunt nisi.</em> Et nam qui molestias asperiores error dolorem libero modi. Explicabo harum et aut soluta. Est velit natus quae perspiciatis eveniet non. Aliquam magnam itaque unde dolores eligendi delectus omnis. Molestiae tempora vitae aspernatur laudantium sed., <a href="#voluptas" title="Vero aut">Dolorum voluptate</a> <code>perspiciatis praesentium</code> <strong>Ad sit</strong>, <code>vitae enim</code> Accusamus qui blanditiis non ut et laudantium molestiae rerum. Eum laudantium autem velit dolores sit pariatur aliquid. Consequatur sed rerum eveniet distinctio odio veniam doloribus quia. Molestias tempore voluptas deserunt magni. Eos vel minus reiciendis qui. <a href="#saepe" title="Ut dolorem">Consequatur aliquam</a> | | `ol_long` | <ol><li>Voluptatem enim corrupti expedita autem ea. Voluptatem temporibus sit aliquid ut odio cum.</li><li>Iusto soluta dolor in corrupti commodi esse earum. Officiis magnam illo reiciendis earum. Hic maiores veritatis sint recusandae ut officia. Enim cumque consequatur commodi qui.</li><li>Aut quisquam magni cumque qui nobis repellendus. Officia esse quasi itaque nobis quisquam. Pariatur earum et quaerat quo reprehenderit. Accusamus beatae dolores iure corporis esse.</li></ol>, <ol><li>Qui totam tenetur ex fugit. Et quasi minima et suscipit corrupti. Non dolor placeat voluptas delectus sequi facilis. Est ea repellat et reprehenderit.</li><li>Aut explicabo est qui est aliquam iusto. Quia non natus magni voluptatum nihil sed. Delectus quidem ducimus sit corporis est sequi quaerat.</li><li>In officiis omnis qui et corrupti magni. Voluptatem repellendus quia laboriosam culpa error maxime.</li></ol>, <ol><li>Aspernatur molestias consectetur omnis et voluptatem voluptatem modi. Unde quae earum pariatur corrupti saepe repellat. Et id perferendis ea qui. Debitis iusto delectus sed repellendus cupiditate velit eaque consequuntur.</li><li>Magni temporibus impedit nisi repellat maiores. Quia quae itaque sit eum eligendi distinctio. Voluptas voluptatem neque dolor sapiente architecto eaque natus. Et reprehenderit sit eos molestiae corrupti.</li><li>Repellendus suscipit totam exercitationem corporis architecto. Sit explicabo et animi aliquid id iusto.</li></ol> | | `ol_short` | <ol><li>Aut dignissimos molestiae aut ut.</li><li>Fugiat accusamus perferendis nam at quia corrupti.</li><li>Error ullam aut voluptatum.</li></ol>, <ol><li>Nostrum impedit alias aut maxime architecto fugiat.</li><li>Temporibus blanditiis voluptates ipsum cum.</li><li>Eos labore dolor sequi praesentium repellendus.</li></ol>, <ol><li>Et est tempore non ut velit mollitia.</li><li>Voluptatem nobis dolores quod.</li><li>Hic molestiae at animi ipsam quia.</li></ol> | | `p` | <p>Hic et debitis quia quae. Delectus repellat eius quidem non. Perferendis explicabo laudantium adipisci molestias.</p>, <p>Aliquid quisquam molestias ipsa quod excepturi beatae quidem maiores. Voluptatibus cum qui nesciunt facere. Repellat et corporis sunt impedit consequuntur distinctio. Sed doloremque quisquam dolores voluptatem. Nostrum quo eos consectetur saepe.</p>, <p>Nam voluptate aut ducimus temporibus aperiam ut dolorem id. Ut qui sit unde quasi nesciunt voluptas debitis. Vel aut repellat excepturi autem dignissimos exercitationem qui ut. Recusandae dolore quod aliquam sit voluptas quo. Sit rerum dolorum facilis laborum minima asperiores dicta earum.</p> | | `table` | <table><thead><tr><th>Sit</th><th>Tenetur</th><th>Repellendus</th><th>Magni</th></tr></thead><tbody><tr><td>Dolor</td><td>Repudiandae</td><td>Impedit</td><td><a href="#natus" title="Aut error">Rerum ullam</a></td></tr><tr><td>Accusamus</td><td>Iure</td><td>Iure</td><td><a href="#nobis" title="A soluta">Quis non</a></td></tr><tr><td>Cupiditate</td><td>Aliquam</td><td>At</td><td><a href="#non" title="Sapiente magni">Nihil ut</a></td></tr></tbody></table>, <table><thead><tr><th>Est</th><th>Deleniti</th><th>Occaecati</th><th>Voluptatem</th></tr></thead><tbody><tr><td>Quas</td><td>Sint</td><td>Autem</td><td><a href="#iste" title="Commodi expedita">Voluptas eveniet</a></td></tr><tr><td>Assumenda</td><td>Optio</td><td>Dolorem</td><td><a href="#alias" title="Et corrupti">Magnam nam</a></td></tr><tr><td>Et</td><td>Mollitia</td><td>Unde</td><td><a href="#consequatur" title="Enim sint">Aut et</a></td></tr></tbody></table>, <table><thead><tr><th>Exercitationem</th><th>Alias</th><th>Voluptatem</th><th>Aperiam</th></tr></thead><tbody><tr><td>Dolor</td><td>Eos</td><td>Laborum</td><td><a href="#laborum" title="Voluptas dolorem">Tenetur eaque</a></td></tr><tr><td>Itaque</td><td>Asperiores</td><td>At</td><td><a href="#omnis" title="Id qui">Maiores saepe</a></td></tr><tr><td>Illo</td><td>Officiis</td><td>Et</td><td><a href="#exercitationem" title="Odit sunt">Exercitationem magnam</a></td></tr></tbody></table> | | `ul_links` | <ul><li><a href="#occaecati" title="Similique">Blanditiis</a></li><li><a href="#eum" title="Eos">Iusto</a></li><li><a href="#voluptatem" title="Qui">Nostrum</a></li></ul>, <ul><li><a href="#ducimus" title="Fugiat">Sunt</a></li><li><a href="#et" title="Fuga">Et</a></li><li><a href="#odio" title="Sapiente">Nostrum</a></li></ul>, <ul><li><a href="#animi" title="Quam">Harum</a></li><li><a href="#animi" title="Nihil">Dolores</a></li><li><a href="#qui" title="Alias">Distinctio</a></li></ul> | | `ul_long` | <ul><li>Numquam molestias odio est minus. Fugiat et nesciunt et sed tempore sed. Tenetur possimus velit corporis fugiat sequi aperiam iste.</li><li>Unde quo aspernatur aut ipsam voluptas nam. Aspernatur aut cumque hic consequatur et labore.</li><li>Incidunt accusamus facere porro ut ipsum. Commodi quis itaque consequatur nostrum voluptas est cumque natus.</li></ul>, <ul><li>Nostrum dolores ipsa ut eos dolorem quibusdam officia suscipit. Aut fuga doloremque consectetur et. Beatae architecto sit nihil quis sapiente ipsa consequuntur. Laborum itaque laboriosam aut facilis fuga.</li><li>Delectus accusamus dolorem doloribus dolore sapiente porro voluptates corrupti. Commodi molestias iste est eum quisquam quia.</li><li>Accusamus minus consequatur delectus excepturi saepe possimus cupiditate. Quis dolores dicta et possimus. Sit nesciunt ullam aut quod ut voluptatem temporibus beatae.</li></ul>, <ul><li>Quia odio est quis aperiam consequatur vitae. Enim qui voluptatem alias quia. Sit unde aut voluptatem dignissimos reprehenderit et iste. Nihil et quibusdam consequatur a vel harum dolorem.</li><li>Non fuga et blanditiis enim. Unde eum minima voluptatem quos labore.</li><li>Nam ipsum ex nobis ab vero deserunt. Modi quidem omnis est pariatur ipsa quia. Velit dolores magnam voluptas ut autem corporis.</li></ul> | | `ul_short` | <ul><li>Qui adipisci voluptate aut dolorum praesentium.</li><li>Aspernatur est aut omnis ea et ducimus.</li><li>Repellat quia sed magni.</li></ul>, <ul><li>Dolor reiciendis ut.</li><li>Suscipit esse sapiente ut labore.</li><li>Rem est esse.</li></ul>, <ul><li>Corporis unde omnis excepturi eum architecto dolor.</li><li>Odit omnis vitae beatae sit minus sapiente.</li><li>Hic dolorem doloremque quia.</li></ul> | ## FFaker::HealthcareIpsum | Method | Example | | ------ | ------- | | `characters` | bzmklxur843drij8ax92wiru8v5at26qnzqempqg0zyc6bxb81ml322g3jszxm8g9ul8ijf7myabywsc5axw1hukolsbx5f1a2a7d7tt6bja2o34q8hlgkup5nq847ep33sizic87q7wi7p0lrp5uh4ky8ecv5bs9q04esv5a85jk3uwtacpt3lmgqqthuqkrzbr9by18ftkyk9drj6u7fehw4n357duh3vtpnbl5fnbn53zfxlcn2jr78ll693, prbv4y986m8y4oaw6pxqfv2ovhugqyxwszuxms91sc3pqc98mchqeuu4jmlu6ngqfd7qv3tffpm3ushsbe02pnejloa2ey3bcnim7ix66euuvl8wjln01jlkpv3fi2i8zxx2k4xn5r4u9dmocze1qtcq8r8475fa0brxr6asb14lsus16vy7tem53i15isula00uplitl2wlpx2uo3ie79as6p44d6x2tqs5alj1hmg6vpfiq61g44jm9kkogd6, 9tfv0544l6nnh0u4q7gx7zvh5lpukgjbi5c5isp8ul5wthdgi4qtw4t09cudls9jekpc27vq7xlbzitwahdf5nsemefo8guox1sx4e45fpzf3fn1eakyym4fm47f7vhm9qqzfatsg4atx8kkl3k7he01je3rz55a6j1ri9bk1bdr0pj1jdze4l5f4qmd876oql11wrsgqye0p0c2daa20g8805wri02n4iq4z5t745rg70wn7xu4qcprip4vess | | `paragraph` | Assignment of benefits medically necessary designated facility referral pre-admission testing credentialing network provider rider. Creditable coverage fee schedule short-term medical insurance IPA current procedural terminology. Evidence of insurability managed care qualifying event administrative services only exclusion period SIC IPA renewal. Eligible expenses portability flexible spending account eligible dependent medigap master policy accredited creditable coverage. Gatekeeper guaranteed issue state-mandated benefits explanation of benefits major medical pregnancy care deductible., Care plan self-insured HIPAA premium HCFA Common Procedure Coding System rider independent practice associations. R&c charge pre-authorization third-party payer rider case manager beneficiary. Renewal beneficiary EOB DRG custodial care incurral date national committee for quality assurance limited policy any willing provider laws. Centers of excellence high deductible health plan out-of-network credentialing impaired risk pre-certification benefit cap formulary., Eob morbidity out-of-plan inpatient care referral independent practice associations assignment of benefits policy year. Claim covered benefit participating provider current procedural terminology medicare insured HDHP medical savings account diagnostic related group. Hcpcs short-term medical insurance hospital care network FSA indemnity health plan formulary. Cobra health reimbursement arrangement HRA state insurance department concurrent review. | | `paragraphs` | Medical necessity exclusions and limitations PCP pre-authorization independent practice associations. Policy year benefit cap clinical practice guidelines current procedural terminology incurral date. State insurance department HDHP cost sharing HCPCS HEDIS NAIC limited policy case manager. Medicaid cost sharing policy year major medical health savings account grievance PCP. Accredited attachment pre-admission review accreditation HCPCS high deductible health plan case management gatekeeper., Ipa fee schedule medicaid free-look period NCQA. Ncqa co-insurance diagnostic related group rider renewal. Explanation of benefits enrollee eligible expenses EAPs skilled nursing facility grievance employee assistance programs COB. National drug code benefit cap beneficiary prior authorization HRA usual and customary charge. Creditable coverage coordination of benefits accreditation qualifying event free-look period admitting privileges well-baby care., Independent practice associations ASO medigap admitting privileges second surgical opinion certificate of coverage pregnancy care health insurance portability &amp; accountability act critical access hospital. Naic certificate of coverage critical access hospital case manager rider cost sharing health insurance portability &amp; accountability act insured flexible spending account. Out-of-network primary care physician first dollar coverage evidence of insurability benefit SIC disenroll., Clinical practice guidelines R&C charge rider eligible expenses network provider. Board certified utilization review open enrollment HCFA Common Procedure Coding System international classification of diseases, 9th revision, clinical modification icd-9-cm NAIC health reimbursement arrangement state insurance department. Denial of claim exclusions and limitations pre-existing condition network provider deductible carry over credit certificate of coverage policy HMO premium., Centers of excellence standard industrial classification permanent insurance certificate of coverage urgent care HIPAA HCFA Common Procedure Coding System qualifying event referral. Ipa attachment primary care physician pre-certification provider DRG. Ndc self-insured HRA fee-for-service guaranteed issue MSA participating provider., Drg creditable coverage coordination of benefits grievance medical necessity critical access hospital. Board certified pre-admission testing designated facility medicaid exclusion period special benefit networks. Qualifying event accreditation custodial care SIC HMO HEDIS. Certificate of coverage capitation pre-certification medical necessity appeal., Appeal NDC covered charges/expenses flexible benefit plan evidence of insurability. Co-payment FSA disenroll gatekeeper policy year medically necessary current procedural terminology CPT formulary. Pre-admission review HCFA Common Procedure Coding System premium deductible medicaid consolidated omnibus budget reconciliation act. Pre-admission review critical access hospital high deductible health plan HIPAA covered benefit preferred provider organization episode of care. Ppo lifetime maximum special benefit networks health reimbursement arrangement national committee for quality assurance NAIC capitation inpatient care., Indemnity health plan deductible MSA DRG medically necessary inpatient care medicare lifetime maximum dependent. Ndc admitting physician any willing provider laws first dollar coverage medicaid health maintenance organization concurrent review state-mandated benefits lifetime maximum. Hcfa common procedure coding system second surgical opinion utilization review inpatient care health maintenance organization reasonable and customary workers compensation. Covered charges/expenses NCQA usual and customary charge capitation reasonable and customary special benefit networks qualifying event., Denial of claim fee schedule certificate of coverage third-party payer policy year covered charges/expenses utilization review. Risk health savings account health insurance portability &amp; accountability act pre-authorization EAPs. Schedule of benefits and exclusions explanation of benefits claim fee schedule defensive medicine. Certificate of coverage gatekeeper coordination of benefits benefit cap rider CPT. Deductible major medical portability HCPCS formulary. | | `phrase` | Impaired risk exclusions and limitations DRG discharge planning health insurance portability &amp; accountability act primary care physician gatekeeper HMO., Co-payment second surgical opinion DRG hospice care international classification of diseases, 9th revision, clinical modification icd-9-cm evidence of insurability denial of claim board certified., Defensive medicine PPO medical savings account flexible spending account premium creditable coverage accredited. | | `phrases` | Wellness office visit well-baby care lapse medicare medical necessity., Medicaid out-of-network free-look period open enrollment PCP PPO consolidated omnibus budget reconciliation act administrative services only., Nonrenewable hospital-surgical coverage explanation of benefits dependent policy year., Lifetime maximum attachment broker medicare supplement open enrollment accredited., Claim covered person wellness office visit general agent guaranteed issue., Pre-certification EOB effective date guaranteed issue international classification of diseases, 9th revision, clinical modification icd-9-cm pre-authorization., Hedis COB concurrent review state insurance department SIC ancillary services co-payment., Workers compensation standard industrial classification self-insured medically necessary medicaid agent of record., Full-time student out-of-plan home health care medicaid group health plan. | | `sentence` | First dollar coverage standard industrial classification PPO co-insurance effective date pregnancy care., Board certified benefit incurral date covered benefit health maintenance organization primary care physician permanent insurance., Network workers compensation international classification of diseases, 9th revision, clinical modification icd-9-cm cost sharing skilled nursing facility provider DRG. | | `sentences` | Portability policy underwriting defensive medicine out-of-network., Case manager EAPs dependent HRA master policy open enrollment indemnity health plan administrative services only referral., Self administered grievance wellness office visit provider medicare well-baby care agent of record medical necessity., Claim case manager wellness office visit fee schedule well-baby care covered person agent of record nonrenewable., National committee for quality assurance lapse staff model discharge planning COB out-of-plan independent practice associations., Policyholder health insurance portability &amp; accountability act urgent care coordination of benefits NDC coordinated care IPA stop-loss provisions disenroll., Master policy misrepresentation effective date care plan medical necessity ASO HSA eligible expenses standard industrial classification., Special benefit networks underwriting CPT health care provider NCQA schedule of benefits and exclusions accredited., Indemnity health plan medicaid preferred provider organization state-mandated benefits third-party payer medicare supplement health employer data and information set referral well-baby care. | | `word` | high deductible health plan, usual and customary charge, MSA | | `words` | noncancellable policy, skilled nursing facility, agent of record, contract year, free-look period, lifetime maximum, care plan, covered benefit, lifetime maximum | ## FFaker::HipsterIpsum | Method | Example | | ------ | ------- | | `characters` | 6g5pbrsymivi9zo5977b7c7r1ugk1kjmgg3txh44n115cd4wtfb3dunyptx52tekzaka3unpnr73jm6ey7w3ivwndgma7y4gp3sz1vhyzgax9790yx5easflzrbe46fmij788ybxmnku3ovrc3tflrpa5ongif6x6f9rwb8ozzol82bwm6g16zu7rta7hmt8fxpk23nbke2b2pzby099tnvasuj1um9aivigno1rt3cvdtp5m5yvhdrf1wi7wlo, 7zo67nojlnkf4sfzl4axw1dfoxjs619z0bij0l1co1t1pehudglqhv71wulvzbc26m0yf3r9apkslu7krrhyp4v3u4mzbdguw22vu1tbx73y72cfa9uj9to4fx9loaaxglysopto127q3zsex5i38p489mrbcoa668dpvn8ehk3d4zhd5aqwf4crf2wwgikhvk2xde0vua83qox0bgfqwtculrnd333qto7a2z59r5jg76g9932r0tc35b3eu1k, czqbsi2tcdcrd2oboydakcc6dafvaw03ieckewvlnnim8oikyxv3sc81uje9jqm12160m3jrd15hflhuxyky4d1r911r0k2l2hba0pnyl0esqiq423dcahxio9vwu0ydrlhdh479j47sswg1czw9mypp4j5pgjd460lmb1ba0ng7hnbbx9zug2gqgck1jjkiiosako2ljblmafmmcl0bv5l1op5zwb4i3jq1e9d1s4xboo29gnahsyvkq7tjddh | | `paragraph` | Bicycle rights mlkshk letterpress butcher mixtape you probably haven't heard of them. Lomo gluten-free Williamsburg seitan blog etsy scenester before they sold out skateboard. Master cleanse tofu irony gluten-free keffiyeh Shoreditch. Tofu Austin moon tattooed McSweeney's. Cardigan VHS salvia tattooed locavore retro Pitchfork farm-to-table Four Loko., Bicycle rights Banksy master cleanse letterpress mustache brunch. Wayfarers mustache keffiyeh whatever tofu. Farm-to-table single-origin coffee retro fixie brunch jean shorts mlkshk organic., Austin Cosby Sweater cred Carles vegan twee messenger bag. Mixtape keffiyeh put a bird on it salvia gluten-free Banksy before they sold out +1 Wayfarers. Freegan fap mlkshk Cosby Sweater etsy gentrify wolf. | | `paragraphs` | 8-bit next level Wes Anderson skateboard organic Brooklyn tofu put a bird on it. Photo booth keffiyeh vinyl skateboard etsy sustainable. Freegan fanny pack gluten-free keffiyeh put a bird on it. Mixtape keffiyeh moon etsy sartorial vinyl vice. Locavore lo-fi high life chambray craft beer whatever Banksy lomo., Cliche moon synth squid irony put a bird on it readymade. Pbr you probably haven't heard of them Wes Anderson Cosby Sweater McSweeney's readymade. Blog cliche freegan ethical viral gluten-free chambray lo-fi., Master cleanse chambray organic Shoreditch irony tofu. You probably haven't heard of them synth whatever freegan moon brunch gluten-free. Letterpress beard Wes Anderson blog synth readymade master cleanse chambray mlkshk. +1 high life biodiesel twee Williamsburg Portland ethical sartorial synth. Cosby sweater squid moon locavore mixtape gentrify., Organic craft beer irony McSweeney's Shoreditch fanny pack. Hoodie vice Williamsburg moon irony cliche trust fund viral. Irony before they sold out Austin Portland Wayfarers vice 8-bit mixtape +1. Shoreditch dreamcatcher trust fund biodiesel DIY gentrify. Retro scenester quinoa Carles 8-bit Banksy party wolf Austin., Irony McSweeney's Portland fanny pack bicycle rights. Biodiesel trust fund chambray lo-fi stumptown yr. Trust fund mlkshk single-origin coffee aesthetic keffiyeh., Rerry richardson mixtape thundercats keffiyeh letterpress. You probably haven't heard of them mixtape cardigan Williamsburg echo park tofu fixie. Dreamcatcher photo booth artisan DIY twee gentrify salvia. Portland mixtape retro cred vice Austin. Iphone mlkshk Austin cred echo park photo booth., Photo booth mixtape Austin Banksy Cosby Sweater farm-to-table gentrify. Beard cred craft beer single-origin coffee viral you probably haven't heard of them Four Loko. American apparel jean shorts letterpress trust fund fixie. Twee before they sold out readymade keffiyeh Pitchfork master cleanse salvia tattooed. Hoodie 8-bit next level vinyl Pitchfork McSweeney's mustache skateboard., Food truck cardigan Wayfarers bicycle rights iPhone Four Loko lomo tofu. Organic freegan whatever blog ethical. Wes anderson etsy leggings sartorial farm-to-table Carles artisan art seitan. Raw denim etsy sustainable vinyl farm-to-table yr Four Loko mlkshk. Leggings brunch chambray vegan biodiesel Brooklyn messenger bag twee., Vhs photo booth dreamcatcher Rerry Richardson single-origin coffee letterpress irony mustache ethical. Artisan banh mi trust fund retro lo-fi high life 8-bit mustache butcher. Mustache DIY chambray locavore vegan Rerry Richardson. Beard fap put a bird on it vice Wes Anderson fixie. | | `phrase` | Twee butcher master cleanse keytar hoodie Banksy., Rerry richardson food truck photo booth Shoreditch Pitchfork., Irony viral art mlkshk lo-fi vegan raw denim. | | `phrases` | Fixie McSweeney's master cleanse synth put a bird on it blog keytar Williamsburg mustache., Pitchfork food truck leggings mlkshk trust fund., Party moon synth Cosby Sweater tumblr brunch tattooed yr McSweeney's., Shoreditch artisan Four Loko single-origin coffee ethical bicycle rights locavore irony photo booth., Irony Williamsburg helvetica retro put a bird on it aesthetic keffiyeh lo-fi., Pbr Cosby Sweater seitan aesthetic butcher wolf salvia., Mixtape next level tofu irony Four Loko +1 hoodie beard Rerry Richardson., Butcher quinoa art Brooklyn mlkshk., Brunch viral fap butcher Cosby Sweater twee trust fund. | | `sentence` | Locavore lo-fi put a bird on it butcher Wes Anderson Portland photo booth Austin +1., Mustache sustainable mixtape letterpress next level chambray gluten-free butcher., Yr Brooklyn you probably haven't heard of them viral lomo. | | `sentences` | Leggings Marfa irony PBR gluten-free aesthetic letterpress., Mixtape cardigan gluten-free helvetica dreamcatcher fixie sustainable., Diy you probably haven't heard of them hoodie letterpress gentrify Williamsburg lo-fi., Cliche Brooklyn Carles Banksy biodiesel., Jean shorts beard banh mi moon Cosby Sweater., Beard before they sold out aesthetic craft beer DIY cliche., Tumblr sartorial beard cred bicycle rights chambray ethical readymade., Yr helvetica ethical synth Banksy keffiyeh., Farm-to-table keffiyeh hoodie twee 8-bit Portland Wes Anderson. | | `word` | photo booth, helvetica, organic | | `words` | single-origin coffee, cardigan, Shoreditch, Shoreditch, keytar, Brooklyn, master cleanse, dreamcatcher, ethical | ## FFaker::Identification | Method | Example | | ------ | ------- | | `drivers_license` | C088-004-91-919-0, I088-976-17-655-9, E990-220-82-013-3 | | `ethnicity` | African American, African American, Multiracial | | `gender` | Female, Female, Female | | `ssn` | 615-05-7770, 747-74-2281, 625-12-0746 | ## FFaker::IdentificationBR | Method | Example | | ------ | ------- | | `cnpj` | 63835677175717, 93627347105839, 78200171891803 | | `cnpj_verification_digits`(...) | | | `cpf` | 82695493630, 37922242751, 99003797722 | | `cpf_verification_digits`(...) | | | `gender` | Masculino, Masculino, Feminino | | `pretty_cnpj` | 75.149.598/4049-43, 28.048.675/0075-66, 96.842.989/6639-30 | | `pretty_cpf` | 388.609.310-70, 476.322.345-35, 547.777.720-63 | | `pretty_rg` | 612.687.665, 823.655.937, 437.633.701 | | `rg` | 803095810, 706680460, 697975837 | ## FFaker::IdentificationES | Method | Example | | ------ | ------- | | `gender` | Hombre, Hombre, Mujer | ## FFaker::IdentificationESCL | Method | Example | | ------ | ------- | | `gender` | Mujer, Hombre, Hombre | | `rut` | 2433549-6, 24159569-2, 20807888-7 | ## FFaker::IdentificationESCO | Method | Example | | ------ | ------- | | `blood_type` | A-, A+, B+ | | `driver_license_category` | B3, A1, C3 | | `drivers_license` | 81699483421, 61633012, 05467195048 | | `expedition_date` | 2016-07-17, 2013-11-09, 2014-02-20 | | `gender` | Hombre, Hombre, Hombre | | `id` | 1644598, 298799082, 3474879 | ## FFaker::IdentificationKr | Method | Example | | ------ | ------- | | `rrn` | 792007-1800787, 851504-1470424, 802605-1801811 | ## FFaker::IdentificationMX | Method | Example | | ------ | ------- | | `curp` | DAXP040510HQTMKW38, HUJI710117HNLXLJ39, TEFD960621HSLLVWW0 | | `rfc` | HVR760428038, ED&071105L34, MERB861206RSD | | `rfc_persona_fisica` | KERÑ971013C7R, HUIK000110ID0, GUBI780521J72 | | `rfc_persona_moral` | UQA761117PQU, KGD9606088JZ, VQA930819RJU | ## FFaker::Internet | Method | Example | | ------ | ------- | | `disposable_email` | buck.fritsch@spamherelots.com, charlesetta@spamherelots.com, stanford@safetymail.info | | `domain_name` | mraz.name, beahan.co.uk, wymanwatsica.com | | `domain_suffix` | biz, com, co.uk | | `domain_word` | klein, dickensschumm, strosin | | `email` | larry.simonis@dibbert.ca, joyce@ernserbuckridge.co.uk, shandi.schoen@braunkshlerin.co.uk | | `free_email` | ima.mcglynn@gmail.com, sheryll@yahoo.com, ka.bednar@gmail.com | | `http_url` | http://bruen.ca, http://hodkiewicznolan.name, http://bailey.us | | `ip_v4_address` | 207.181.113.110, 79.217.87.253, 105.199.37.154 | | `mac` | 2a:a6:12:81:fd:b5, bb:68:c2:6b:ba:87, b5:7c:7d:0c:4d:6a | | `password` | dHrAEqmF_w3Qdiw, Gczh921Vvs, 1dF9A6YS | | `safe_email` | towanda@example.net, lashanda.mohr@example.com, dori_stamm@example.net | | `slug` | numquam.unde, corrupti-in, qui_harum | | `uri`(...) | | | `user_name` | noel.spencer, leonia.kshlerin, billie_fahey | ## FFaker::InternetSE | Method | Example | | ------ | ------- | | `company_name_single_word` | Robel-Anderson, Pollich,, Stiedemann-Marks | | `disposable_email` | jillian.beier@binkmail.com, loriann_bergstrom@suremail.info, cecil@suremail.info | | `domain_name` | torp.se, hoppeledner.nu, leuschke.se | | `domain_suffix` | com, nu, se | | `domain_word` | pfannerstill, schuster, eichmannstracke | | `email` | patulysses_gleason@borer.com, marshall@ratkekutch.nu, ching_jacobi@rempelryan.se | | `free_email` | wesley@gmail.com, dominic_goldner@gmail.com, shona.schaefer@passagen.se | | `http_url` | http://flatleykiehn.se, http://prohaskalangworth.nu, http://johnston.se | | `ip_v4_address` | 227.138.157.236, 7.61.1.88, 136.104.32.14 | | `join_to_user_name`(...) | | | `login_user_name` | florencio, scot, gerardbreitenberg | | `mac` | b1:d7:39:ce:c6:a9, 88:9b:2b:9c:c6:1d, 27:05:b6:83:9a:5f | | `password` | 5SpbF4WkKi56s, I_IVVowRKR1, 9Iha_R24Yc6 | | `safe_email` | mitchell@example.net, nolan_brown@example.com, dorla@example.org | | `slug` | consequatur.reprehenderit, neque.vero, vel-sint | | `uri`(...) | | | `user_name` | lahoma_roob, jen, maren.schiller | | `user_name_from_name`(...) | | | `user_name_random` | seymour, jordan, tennille_hand | | `user_name_variant_long` | margarete.smitham, stacychester_abbott, rogelio.oga | | `user_name_variant_short` | glen, gaylord, marcelina | ## FFaker::Job | Method | Example | | ------ | ------- | | `title` | Internal Research Supervisor, Internal Intranet Assistant, District Program Strategist | ## FFaker::JobBR | Method | Example | | ------ | ------- | | `title` | Neurocirurgião, Arquiteto, Médico | ## FFaker::JobCN | Method | Example | | ------ | ------- | | `title` | 广告文撰写人, 舞蹈家, 侦探 | ## FFaker::JobFR | Method | Example | | ------ | ------- | | `title` | consultant du patrimoine bati, intendant associé des services techniques, conseiller technique des services techniques | ## FFaker::JobJA | Method | Example | | ------ | ------- | | `title` | 警察官, 探偵, データサイエンティスト | ## FFaker::JobKR | Method | Example | | ------ | ------- | | `title` | 광업용 기계 설치 및 정비원, 소각로 조작원, 보조 연기자 | ## FFaker::JobVN | Method | Example | | ------ | ------- | | `title` | người bán hoa, hàng không cơ khí, thông dịch viên ngôn ngữ ký hiệu | ## FFaker::Locale | Method | Example | | ------ | ------- | | `code` | TI, ZU, ET | | `language` | Swahili, Bashkir, Turkmen | ## FFaker::Lorem | Method | Example | | ------ | ------- | | `characters` | f52vmsoobiwuvcmz9qhlm9v6vs71tw4xfnkzkw66pjkkgjeg7c6nf1fuhfgr923l0qe22ofiqfjbr2qmyueuje5n14nbvl7ih054ihurhf9vliraw8adfh74po41olguptq9aqywr3ecvpljaqf0unf63fi34doic1y0s2012axz5o6djszpuba6yg41pahp3jmg22nvp52fzrq3l0p8w8jwmk5mi1i2iv0ot4j9cxkx5xd5fa4olfo6hohaht4, gk16ovnsj2gsrbtsskj8sd8ij1oqowdik1twpalfujs8cqed7j1xrueml48wrdj5zm7ar8l6zfqshlwr09ofzr3mb4jc5uo87colw1cnd8yy02aooztr1ajca7vle12kefuo5gbi4cbagedmfyl1zc03f5p1gu7v2iaxgljch2cqkre0z21amzwtbb96md7y39drn2re38ebkaaykxbptjqgyyl3fg22rbjwp8ixxt9ci8o0vzlu9ningo4eivl, 7hy3b2bx898okhx3fueds15moilhmz9mmt6xabtrf9mv10wtrv4vbtj4a7obny97qssog4ygfqqvr2wilqwqz86c8yg1cuzk2o2fx53x3x7wlemwt0x5c4bjaco924bp8u3zv7a32cx56fk4qqjj8o1n9xtltcdq7hd1j8jn355693bv2vz8o8h87cw7qkma5ht9dezr5j0k11jkq3chbx454uer14z8agj2o8kz5f8cwzxkkjp1uosfz0yjoi0 | | `paragraph` | Eum exercitationem repellendus ratione tempora eligendi. Sit enim aliquam quis perferendis maiores cum. Fuga recusandae nesciunt eos autem non ab hic magnam. Sit nisi animi sapiente excepturi tempore praesentium. Dolorem perferendis velit nostrum assumenda vero., Fugit totam rerum dolor quaerat maiores. Deleniti dolorum odio officiis facilis. Omnis cumque repudiandae libero mollitia accusamus perspiciatis deserunt temporibus. Et a consequuntur voluptas quisquam reiciendis. Aut error quasi quia sit deleniti eius nobis., Delectus possimus non nesciunt quia perferendis iste soluta. Consequuntur enim et quae veniam voluptates reiciendis eaque quibusdam. Eum at sint non et praesentium cum sunt. Quia amet voluptatem error dolorum dolores aut facere. | | `paragraphs` | Et hic itaque aperiam porro. Esse repellendus nulla vitae sit. Modi sint ratione similique in voluptas. Omnis harum molestiae praesentium tempora sapiente qui. Similique qui et quibusdam provident nemo ut., Rerum mollitia vitae dolorum sint voluptatem. Facilis quisquam eligendi exercitationem pariatur. Corrupti maiores ullam ea molestiae omnis nisi vel illum. Error consequatur at doloribus sint a dolorum ut harum. Temporibus rerum reiciendis ab quasi., Fuga voluptatem nulla suscipit aliquam. Quia quidem itaque sit consequatur amet eum at sed. Quo ex doloremque error porro rerum consequatur sint illo. Sint sed et et ipsa repellendus. Dolorem voluptatem consequatur quisquam id modi delectus., Nemo impedit quia fugiat sed accusantium repellat quibusdam ut. Consequatur velit ut autem commodi et. Et voluptatem quae accusamus quos. Voluptatem assumenda modi et dolores ad quibusdam fugit. Culpa beatae et ea cumque., Soluta ut dolores officia ipsum. Repellat minus veniam nesciunt commodi nulla explicabo rerum. Qui omnis dolores quo libero quidem illum corrupti rerum., Autem corporis et dolorum non fuga. Blanditiis delectus non accusantium libero voluptas velit omnis. Voluptas voluptas rem id beatae nam occaecati necessitatibus. Et officiis optio sit animi voluptate eum aperiam et., Harum reprehenderit vel alias ipsam rerum fuga architecto eos. Et et praesentium similique vel et corrupti voluptatem. Eum quae nostrum suscipit ut amet. Et quod quisquam totam sunt. Dicta aut explicabo harum ducimus ipsum rem., Velit dolores aut sed qui molestiae. Molestias ut adipisci porro veniam occaecati necessitatibus rem. Corrupti numquam quas dolor consequatur., Aliquam natus quia id quia et in id voluptatem. Sequi et aperiam et sunt possimus. Officiis a officia animi aut aliquid. Esse placeat rerum in temporibus in corporis accusantium quo. | | `phrase` | Ut dolores in consequatur veniam., Aliquam mollitia magni reiciendis atque pariatur qui., Est alias reprehenderit praesentium sit voluptas voluptatem sunt ut. | | `phrases` | Impedit aliquam tenetur iusto dolores et fugit dolor., Veniam architecto repudiandae incidunt dolores., Incidunt adipisci beatae quod eum et cum., Et dolores a nostrum earum cupiditate., Quia debitis quod aut excepturi ut et eos voluptatibus., Doloribus est amet explicabo dolore quia veritatis voluptas., Cum et expedita voluptatum exercitationem., Asperiores ea sit ratione beatae unde natus quae., Dolores enim itaque soluta vero rem dolorum cum nihil. | | `sentence` | Possimus sit quasi iure aut et quod ut., Odit voluptatem libero eaque necessitatibus tempore quibusdam error., Quibusdam dolorum vel qui repudiandae quae. | | `sentences` | Est minima laboriosam mollitia doloremque., Quisquam cum architecto tempore vel neque sunt magni., Architecto ratione aut consequuntur est., Quod mollitia dolores expedita odit distinctio quisquam., Eos dolorum esse itaque blanditiis iste ipsum autem., Nesciunt velit illum esse commodi quos nihil., Excepturi architecto dolor sed repellendus itaque veniam., Delectus expedita voluptas placeat praesentium quidem minima., Provident culpa nihil dolorem quibusdam. | | `word` | qui, aliquam, soluta | | `words` | blanditiis, accusamus, ducimus, fugiat, nobis, quos, eveniet, deserunt, error | ## FFaker::LoremAR | Method | Example | | ------ | ------- | | `paragraph` | الأوروبية،, موسوليني للأسطول كل, إيو الإنذار،,. أن التكاليف ذلك تم مع قد. والديون المنتصرة و العصبة الربيع، بل عدد, عدد. بها لإنعدام غضون روسية وصل استدعى., و حيث وتم تلك حيث باستخدام هذه شمال البشريةً. عن بها اقتصّت أن ضرب,. الأخذ بحث انه, فاتّبع إعلان بقيادة. الحرب بل الغربي أوسع الرئيسية سمّي للأسطول. شعار لليابان عن كلا,., الرئيسية جوي الصين بلا. مارد انتباه وتم أوراقهم تم. الى مع وبالرغم الصعداء لم تحت, ثم الطريق. | | `paragraphs` | والديون عن حين الاندونيسية وعلى بـ حول. حلّت الباهضة و الحلفاء بل, والفرنسي. حربية بريطانيا-فرنسا عن كلّ لم لعدم كل. لفشل موالية باستسلام العسكري كل, ثانية وانتهاءً أم. مارشال استولت لمّ من في,., أن تحت, مارد المجتمع حيث سقطت الفترة لمّ. يتم علاقة الأخذ أن, و بلديهما مما المقاومة. إذ ثمّة عدم القوقازية ,. في, ما بقعة بالعمل. جيما بقعة جورج ما في لم., تُصب الثالث قد احداث تم كل, بـ وجهان. المسرح من وقوعها استسلام. قائمة مسرح الأمور, بـ. لم الحرب من بها لم. تعديل أوراقهم كلا, البلطيق الجيش., بل حتى اعتداء وقدّموا, بـ بشكل الأوروبية،,. كل يتم يرتبط نفس ستالينجراد,. الذرية غريمه يتمكن قهر ماذا تم من الامم. و إيو إيطاليا ثم الفترة يبق قصف يتم, من. الأوضاع بالمحور الذرية تزامناً ومن جمعت فصل., الصينية فاتّبع من بل بين التّحول, زهاء. غريمه جوي التّحول, فرنسا. ربع من لم لم وباستثناء اعتداء دنو. استطاعوا ما, وحتّى المسرح جديداً الذرية الأمور, معقل., لكل فبعد مما اتّجة ما, اوروبا تكاليف. حدى ما, العسكري, مع فصل, ما أخر. بحق لم حين وصافرات علاقة أخر لألمانيا حيث عن., و الثالث بال غرّة، إذ,. شمال لليابان تسبب أوراقهم قهر. يتسنّى تم, من واقتصار المقيتة تونس وعلى حتى أراضي., بالعمل بـ بـ, ليركز واقتصار. للحكومة هو وحتّى استولت في و المقيتة اكتوبر,. وصافرات به، الصعداء العناد والإتحاد. المبرمة قهر الأوروبية،, موسوليني., بالقنابل الحرب فصل, مع, سمّي التكاليف. بريطانيا جديدة قوات دخول علاقة جديداً. عرفها هو الإمتعاض أوراقهم والفرنسي ويكيبيديا، لم. | | `phrase` | تسبب الدّفاع الأبرياء و معقل هذا بلا على., كل, قد أي أما العسكري, السيء عدد., اعتداء الإستسلام ما و الذرية اعتداء رئيس. | | `phrases` | بل, مع بلا و, تُصب الإقتصادي حربية اتّجة., وحتّى الخنادق مارشال و يتم., ان, أي المشترك بل لان إستراتيجية, ما,., لفشل اعتداء الواقعة المتطرّف., إعلان التّحول, لم دأبوا., وقامت أكثر يتم ان, ان., باستسلام واقتصار هو, أسر, جسيمة بتحدّي اوروبا تم و., بالعمل يبق أم ستالينجراد, المجتمع عل,., الإستسلام غزو أم جديداً بـ الربيع، المسرح الخنادق الهجوم. | | `sentence` | بشكل ما, ولم الطريق., بل بين وإعلان الشرقية للحكومة, اوروبا تعداد., وقوعها تم حكومة لها لإعلان. | | `sentences` | أكثر والروسية يتعلّق الخنادق المعاهدات عدد, تحت, هو., حول ثم أن بخطوط والإتحاد., ما حول ضرب وباءت., الامم بتخصيص يتعلّق قُدُماً الربيع، فقد تم يبق فصل., أن, الى يتم الواقعة القنابل, المزيفة., تحت, ضمنها وعلى يبق, أسر لم أي جهة حتى., يعادل المتّبعة العسكرية قد أفاق., حربية شدّت, مكن الأوضاع كل بل وقوعها عرض., وضم يذكر نورماندي قد ليبين أن. | | `word` | الأجل, يتم, تم, | | `words` | أن,, شبح, المبرمة, ما,, جمعت, المجتمع, بالجانب, اللازمة, أن | ## FFaker::LoremCN | Method | Example | | ------ | ------- | | `paragraph` | 当机立断昂首阔步淅淅沥沥风狂雨猛人山人海八仙过海，各显神通, 暴雨如注人流如潮一见如故有恃无恐拾金不昧百感交集昂首阔步万紫千红黄澄澄, 十字街头前呼后拥两肋插刀白纸黑字万物复苏半明半昧, 甲泣不成声怒气冲冲时而两全其美波涛汹涌哗哗啦啦眼明手快, 交流元满山遍野心急如焚坐井观天数不胜数浩浩荡荡忐忑不安。, 东倒西歪望挥汗如雨有始有终, 天荒地老千里冰封全神贯注数不胜数热浪滚滚秋月似钩手舞足蹈自暴自弃惊弓之鸟, 一马当先黄澄澄绝无仅有可憎可恶了望, 细雨如烟白茫茫阳春三月闻名于世自私自利大公无私两面三刀高枕无忧雨打风吹。, 象牙白朝霞辉映心明眼亮瞻仰千变万化, 人山人海长短不同拳打脚踢曰扑哧千姿百态气势磅礴两败俱伤, 顷刻间了望千山万水名列前茅蛛丝马迹火眼金睛三九严寒桃红柳绿六道轮回, 万紫千红言而有信兴致勃勃全神贯注当机立断赞不绝口坚贞不屈, 一触即发伤心落泪毅然决然头重脚轻震天动地。 | | `paragraphs` | 雪花飞舞怒目而视碧空如洗叶公好龙九牛一毛危峰兀立怒发冲冠不明不白, 五彩缤纷足下生辉千方百计百感交集十全十美八仙过海，各显神通叹为观止, 探望天寒地冻仰望两袖清风鸡犬不宁议论纷纷, 热泪盈眶满山遍野两肋插刀万物复苏十拿九稳落叶沙沙。, 激动不已虎啸龙吟水落石出望子成龙谈虎色变雄狮猛虎暴风骤雨十分可恶心灵手巧, 冰天雪地七窍生烟一瞬间麦浪滚滚悔恨交加生死存亡, 缓慢冰清玉洁元流星赶月天老地荒亭亭玉立暮色苍茫六根清净狐疑不决, 与世长辞顷刻间深感内疚人山人海各抒己见成群结队四通八达轻风徐徐洗耳恭听。, 舍近求远齐心协力瞬息万变四面八方载歌载舞, 移步换影无忧无虑语气坚定瞪望子成龙, 乳白姿态万千大失所望不进则退。, 瞥飞流直下疾恶如仇望子成龙眺望笑容可掬红艳艳拳打脚踢一毛不拔, 湖蓝举世闻名无牵无挂大公无私白雪皑皑日月如梭摩肩接踵, 激动不已麦浪滚滚泪如泉涌热浪滚滚, 天长日久自给自足勃然大怒波涛汹涌小心翼翼白纸黑字。, 史无前例水平如镜狐假虎威喀嚓静思默想夜幕降临, 借尸还魂鸡飞蛋打五花八门黑压压绝无仅有, 手足无措果实累累吱呀八面威风不胜枚举对牛弹琴扫视逝世, 俯视叶公好龙两情相悦连连称赞东拉西扯色彩斑斓漫漫长夜惊涛骇浪, 漆黑一团云开日出千变万化无忧无虑马到成功六道轮回天罗地网白雪皑皑勃然大怒。, 霎时间水落石出铺天盖地震耳欲聋绿意盎然吉祥如意自暴自弃, 连连称赞鸦雀无声晚风习习怒发冲冠信守诺言, 无情无义千奇百怪东张西望十面埋伏, 赞不绝口百感交集精益求精马到成功交流半梦半醒。, 轰轰隆隆千丝万缕金灿灿拾金不昧闷闷不乐粉妆玉砌谈虎色变枫叶似火前呼后拥, 七嘴八舌四面八方失声痛哭硕果累累鼠目寸光不理不睬三顾茅庐, 白雪皑皑闻名天下长短不同前因后果, 千姿百态半梦半醒轰轰隆隆天南地北聚精会神哗啦兔死狐悲。, 素车白马犹豫不决不理不睬面红耳赤鱼目混珠望闷闷不乐九鼎一丝白浪滔天, 自言自语无忧无虑万古长青乘热打铁探望有始无终, 顾虑重重十万火急迫在眉睫谈虎色变生气勃勃。, 鸟语花香四面八方危峰兀立三思而行水帘悬挂白雪皑皑内忧外患十万火急, 牛马不如烈日灼灼瞄落叶沙沙, 仰望千秋万代能屈能伸惊天动地轻风徐徐咬牙切齿讲朝气勃勃亡羊补牢, 废寝忘食顷刻间天高云淡欲哭无泪千言万语, 暮色苍茫废寝忘食千方百计前呼后拥视死如归成千上万眉开眼笑八仙过海，各显神通。 | | `sentence` | 夜幕降临缓慢视死如归天寒地冻一目十行绞尽脑汁水滴石穿旭日东升扑哧,, 一手遮天为国捐躯绝无仅有吼泪如雨下摩拳擦掌黑乎乎,, 风和日丽深恶痛绝前因后果无穷无尽, | | `sentences` | 绿浪滚滚移步换影火眼金睛可憎可恶瓢泼大雨兴致勃勃舍近求远惊恐万状前所未有,, 麦浪滚滚风平浪静一身是胆逝世杀鸡儆猴目瞪口呆亭亭玉立无忧无虑摩肩接踵,, 鸡飞蛋打不清不楚盯顾虑重重鹅黄自高自大排山倒海,, 马失前蹄细雨如烟咕噜八面玲珑狗尾续貂赞叹不已二三其德东倒西歪,, 眉清目秀十指连心西装革履东鳞西爪六道轮回,, 火眼金睛交头接耳承上启下五湖四海天老地荒梨黄形态不一白茫茫口蜜腹剑,, 嚷交流生死存亡拳打脚踢健步如飞令人发指一马当先东张西望,, 心灰意冷天崩地裂一言九鼎连绵不断日月如梭绿树成阴赞叹不已,, 一眨眼果实累累顷刻间眉开眼笑惊天动地行云流水赞不绝口, | | `word` | 无忧无虑, 粉妆玉砌, 五大三粗 | | `words` | 波光粼粼, 狐假虎威, 旭日东升, 无忧无虑, 牺牲, 万家灯火, 晚风习习, 一言九鼎, 半梦半醒 | ## FFaker::LoremFR | Method | Example | | ------ | ------- | | `paragraph` | Virgulos qu la paroles bourg-en-lettres nécessaires côtes. Demeurent loin sûr route l. Dissuader coule règlalades interpelle été ses., Bourg-en-lettres son vie aux venait vodkale consonnia. Jour demeurent bouche à motus pays fallut. Volent bolos rue le dissuader convaincre là maintes. Qui tout été voulut sémantique., Langues paragraphe nécessaires rencontra lorem côtes leur genre. Déjà instrumentalisèrent depuis là mot ligne paradisiagmatique rencontra. Lui laissa long mésusèrent preuve un. | | `paragraphs` | Prochain dernier ils lourd. Firent pacqua tout premiers de. Toutes loin là bien lieues cela bouche des longtemps., Convaincre gravi et vivent grand aguets sain. Ce interpelle fin moins désormais fois grand ipsum loin. Coeur qui maintes ils retourner interpelle fin tas. Qui bolo pour son convaincre approvisionne paroles au retrait. Fin chemin encore remit vie exploitent nom instrumentalisèrent., Paroles litéralement aventurer saoule. Rebrousser déjà fallut ville larousse déconcerter sauf. Fût lui sauvages rhétorique on ipsum regard règlalades skyline., Prévint saoule avait phrases oreille alors fût tout d. Sauvages encore bolos delà fois réecrite flancs litéralement. Premiers ces pans encoreloin., Longtemps l origines flancs à mit bolo instrumentalisèrent. Ils pans lorem dans lieues subline cuit aventurer. Rencontra preuve ils paradisiagmatique c depuis volent leurs., Fallut où italiques été tout larousse skyline motus. Où moins rebrousser question convaincre point. Où premiers origines le une pays volent. Lieu fois restait lorem était. Purent regard on mit dans., Mais rebrousser demeurent retrait italiques pays loin. Lettrines vers chaîne rue approvisionne alphabetville retrait. Réecrite pans lettrines rhétorique. Finir skyline laissa cette sa volent restait pointdexclamators est., Fins coeur mots initiale joue très sa. Paradisiagmatique où un est ils très oreille lettrines pacqua. Sans rencontra gravi ils remit., Ne consonnia demeurent gravi loin bouche sans venait tas. Question était déjà ville vils ponctuation. Puis vils grand qui sur. | | `phrase` | Joue s là-bas litéralement firent preuve toutes., Déconcerter rebrousser fallut question., Bourg-en-lettres cela larousse loin orthodoxographique lettrines retrait. | | `phrases` | Que traîner bourg-en-lettres les pays., Initiale par il retourner., Langues genre origines histoire cela long leur., Alors vers est règlalades point., En vils laissa virgulos bonnes ces vodkale coeur pays., Décida petite l bien long virgulos motus., Monts la ses cuit là l ressaisi sans approvisionne., Nom lieu bercail bouche voulut purent ruisseau en volent., Fin mots décida ipsum traîner. | | `sentence` | Lourd consonnia petite avait remit longtemps la., Alphanatale leur vodkale lui fois virgulos nécessaires., Prochain peut nom purent mots en où. | | `sentences` | Ferait en initiale demeurent cette preuve., Flancs et coula mais litéralement demeurent oreille., Italiques pans initiale règlalades grammaire moins son route déconcerter., Consonnia sémantique finir mot., Rhétorique vivent ils mots des., Vie où encore qu tout qui lequel., Encore delà interpelle larousse., Regard cela là au dissuader vils encore., Long sournois vivent virgulos leurs. | | `word` | grand, très, Oxymore | | `words` | vaste, passage, tas, rencontra, longtemps, Bolos, preuve, du, rencontra | ## FFaker::LoremJA | Method | Example | | ------ | ------- | | `character` | ６, ０, ず | | `characters` | ほぐぎさくだぺ＋？こせひゐかき・どずれお, ぶきし。め＃ひゐぞざとせ＞わむおけあ２９, るむ＠よぶと＊－らま／え～ほ？ご＆なゆ＃ | | `paragraph` | 眼をカムパネルラの方へ向けて、このごろぼくが、眼をカムパネルラの方へ向けて、カムパネルラが手をあげました。, ジョバンニも手をあげようとして、本を読むひまも読む本もないので、このごろぼくが、やはりもじもじ立ち上がったままやはり答えができませんでした。, ジョバンニは勢いよく立ちあがりましたが、たしかにあれがみんな星だと、ぎんがというところをひろげ、それはいつかカムパネルラのお父さんの博士のうちでカムパネルラといっしょに読んだ雑誌のなかにあったのだ。 | | `paragraphs` | やっぱり星だとジョバンニは思いましたが、先生はしばらく困ったようすでしたが、ジョバンニも手をあげようとして、けれどもいつかジョバンニの眼のなかには涙がいっぱいになりました。, ザネリが前の席からふりかえって、ぎんがというところをひろげ、上から下へ白くけぶった銀河帯のようなところを指しながら、なんだかどんなこともよくわからないという気持ちがするのでした。, 先生はしばらく困ったようすでしたが、ザネリが前の席からふりかえって、先生は意外なようにしばらくじっとカムパネルラを見ていましたが、まもなくみんなはきちんと立って礼をすると教室を出ました。, と言いながら、やっぱり星だとジョバンニは思いましたが、黒板につるした大きな黒い星座の図の、じぶんもカムパネルラもあわれなような気がするのでした。, このごろはジョバンニはまるで毎日教室でもねむく、もちろんカムパネルラも知っている、すぐに返事をしなかったのは、けれどもいつかジョバンニの眼のなかには涙がいっぱいになりました。, 朝にも午後にも仕事がつらく、たしかにあれがみんな星だと、上から下へ白くけぶった銀河帯のようなところを指しながら、立ってみるともうはっきりとそれを答えることができないのでした。, すぐに返事をしなかったのは、ジョバンニも手をあげようとして、このごろはジョバンニはまるで毎日教室でもねむく、ジョバンニはもうどぎまぎしてまっ赤になってしまいました。, このごろぼくが、そう考えるとたまらないほど、ジョバンニも手をあげようとして、カムパネルラが手をあげました。, するとあんなに元気に手をあげたカムパネルラが、と言いながら、このごろぼくが、まっ黒な頁《ページ》いっぱいに白に点々のある美しい写真を二人でいつまでも見たのでした。 | | `sentence` | それをカムパネルラが忘れるはずもなかったのに, するとあんなに元気に手をあげたカムパネルラが, するとあんなに元気に手をあげたカムパネルラが | | `sentences` | もちろんカムパネルラも知っている, 本を読むひまも読む本もないので, もちろんカムパネルラも知っている, ジョバンニも手をあげようとして, カムパネルラともあんまり物を言わないようになったので, ジョバンニは勢いよく立ちあがりましたが, このごろはジョバンニはまるで毎日教室でもねむく, 先生は意外なようにしばらくじっとカムパネルラを見ていましたが, 先生はしばらく困ったようすでしたが | | `word` | 図, ガラス, 光 | | `words` | 形, あんまり物, 雑誌, 書斎, 粒, 頁, 球, 眼, 太陽 | ## FFaker::LoremKR | Method | Example | | ------ | ------- | | `paragraph` | 하늘 맘으로 대한 나라 높고. 삼천리 하늘 대한으로 저 길이. 달은 백두산이 하느님이 밝은 불변함은 대한으로 화려강산., 위에 저 기상일세 하느님이 기상과 다하여 하늘. 저 보전하세 소나무 철갑을 듯. 충성을 구름 공활한데 기상과 기상일세 다하여 만세. 남산 사랑하세 철갑을 화려강산 만세., 가을 나라 삼천리 마르고 보우하사. 하느님이 없이 무궁화 공활한데 사랑하세 백두산이 듯 동해. 동해 이 마르고 달은 다하여 두른 대한으로 맘으로 불변함은. 두른 하늘 길이 마르고 듯 다하여 위에 우리. 불변함은 달은 즐거우나 남산 화려강산 두른 사랑하세. | | `paragraphs` | 동해 우리나라 남산 바람서리 없이 사람 닳도록 높고 보우하사. 하늘 기상일세 삼천리 사랑하세 우리나라 화려강산 공활한데 이 보전하세. 불변함은 가슴 다하여 듯 괴로우나 두른. 밝은 남산 닳도록 대한으로 가을. 일편단심일세 괴로우나 닳도록 맘으로 하느님이 바람서리 만세 하늘 듯., 구름 충성을 화려강산 위에 달은 높고 이 소나무. 바람서리 길이 동해 기상일세 불변함은 철갑을 무궁화 높고 보전하세. 철갑을 사람 보우하사 화려강산 남산 위에 대한으로 즐거우나. 가을 보전하세 동해 삼천리 이. 두른 백두산이 구름 삼천리 사람 나라 충성을., 보전하세 위에 기상과 소나무 동해. 하느님이 화려강산 맘으로 가슴 우리 괴로우나 불변함은 다하여 위에. 삼천리 물과 괴로우나 기상과 일편단심일세 무궁화 가슴 닳도록 두른. 가슴 없이 가을 듯 불변함은., 삼천리 일편단심일세 즐거우나 우리 밝은 이 듯. 바람서리 없이 남산 듯 위에 보우하사 마르고 다하여 만세. 공활한데 하늘 구름 사람 철갑을., 두른 즐거우나 하늘 저 구름. 삼천리 길이 가슴 공활한데 보전하세 남산. 마르고 철갑을 불변함은 닳도록 무궁화. 공활한데 백두산이 동해 다하여 밝은 이 닳도록 맘으로., 무궁화 공활한데 기상과 바람서리 화려강산 괴로우나 만세 저 일편단심일세. 달은 우리 가을 즐거우나 보우하사 삼천리 하느님이 불변함은. 구름 저 가을 두른 길이 하늘 괴로우나 즐거우나. 삼천리 보전하세 이 높고 소나무 하느님이 일편단심일세 기상일세., 없이 맘으로 대한으로 충성을 하느님이 화려강산 가을. 괴로우나 사람 만세 없이 저 우리. 마르고 높고 보우하사 길이 두른 삼천리 나라. 없이 우리 이 두른 맘으로 기상과. 듯 저 없이 소나무 우리나라., 다하여 두른 철갑을 가을 동해. 대한으로 밝은 동해 닳도록 삼천리 공활한데 불변함은 하늘. 보전하세 화려강산 높고 기상일세 마르고 하늘 대한 가슴 없이. 대한 위에 가슴 기상과 길이 달은 기상일세 사람., 사람 기상과 불변함은 사랑하세 보전하세. 우리나라 없이 위에 보우하사 듯 두른 높고. 기상일세 높고 밝은 사람 가을. 구름 이 동해 높고 불변함은. | | `phrase` | 맘으로 백두산이 마르고 저 밝은 두른., 우리나라 달은 대한으로 물과 충성을 공활한데 대한 다하여., 듯 충성을 높고 무궁화 마르고 동해 구름. | | `phrases` | 가슴 밝은 두른 물과 소나무., 길이 위에 하늘 우리 두른 듯 즐거우나 공활한데 동해., 나라 삼천리 충성을 바람서리 사람 공활한데 일편단심일세 가슴 괴로우나., 불변함은 철갑을 괴로우나 닳도록 대한으로 저 만세 기상일세 길이., 동해 기상일세 이 나라 없이 맘으로., 일편단심일세 불변함은 맘으로 길이 대한으로., 삼천리 없이 기상일세 충성을 하늘 맘으로 다하여., 철갑을 괴로우나 바람서리 대한 하느님이 보전하세 두른 나라., 사람 저 두른 동해 사랑하세 무궁화 불변함은 백두산이 마르고. | | `sentence` | 이 달은 기상과 바람서리 가슴 기상일세 가을 즐거우나 보전하세., 맘으로 즐거우나 없이 높고 공활한데., 가을 맘으로 물과 하늘 괴로우나 다하여 보전하세 저. | | `sentences` | 가슴 하늘 두른 보우하사 무궁화 기상과 마르고 일편단심일세., 밝은 하늘 철갑을 불변함은 길이 다하여 나라 보전하세., 구름 가을 철갑을 소나무 백두산이 하느님이., 맘으로 이 만세 달은 충성을 대한으로 즐거우나., 높고 바람서리 물과 기상과 듯 즐거우나., 바람서리 공활한데 무궁화 우리 가슴 사람 맘으로., 사랑하세 바람서리 달은 소나무 만세 화려강산 높고 철갑을., 우리 보전하세 두른 일편단심일세 하늘 불변함은 대한., 두른 삼천리 마르고 만세 하느님이. | | `word` | 동해, 남산, 백두산이 | | `words` | 하느님이, 닳도록, 다하여, 두른, 듯, 대한으로, 마르고, 충성을, 달은 | ## FFaker::LoremRU | Method | Example | | ------ | ------- | | `paragraph` | Группы действующие того например отсутствие много, немногочисленных лёгкость большая стороны точно даёт вспышек могли? Как быть входящими ноны слились расстояний вина источниками. Неба лишь между пылевая типа сильное отождествляя время источником. Оптическое квадратных точечные выдвинута тёмный точки остатками мы содержащей звёздами. Тема указывали без будет содержащей выдвинута разъём поскольку звёзд же определяется, ищет случайным неба температуры., Гипотеза сверхновых налёт тогда была что надеяться. Сильное налёт тёмный, то силу от новых будет температуры тех это выдвинута том. Около слились указывали пылевой дёрн слабым очень немногочисленных между полосе спектра как расстояний, твёрдой слабых зелёный. Объект распределённых тёмный слабым концентраций выдвинута дискретных минут точечные что, после объектов точно. Большинство по второй больше лист, очень наблюдениях оптически межзвёздная вызывалась больших этих сильное. Пылевая тема связи много являются угловое, входящими оптически сверхновых лимб яркие то других., Этих без так вина равномерно материи гипотеза ноны то! Трудность источниками же надеяться ищет, много низкие образом выводу мы отождествляя видимости площадке. Показывала точечные немногочисленных иней этой, экватора звёздами случайным вне налёт искать. Аэросъёмка этой квадратных расстояний удалось отождествляя блеск не дёрн отсутствие, так ноны больших. Собой содержащей после больше выводу тема аэросъёмка лёгкость вина, разъём стороны слабым пылевой могли. Тема состоит наблюдениях экватора видимости менее даёт. | | `paragraphs` | Тоже могли объектами бы невелика звёздами случайным, при около дата вне на вызывалась ближе сильное образом. Точечные экватора звёздами после разъём, быть тем второй кроме выводу содержащей действующие из. Трудность была пылевой не быть, тема этой ноны источников выше нужно гипотеза определяется слились собой вопросе? Низкие не этом о других, выводу бы указывали дёрн состоит где гипотеза угловое. Лист не пылевая газовой распределённых оптически того, была менее было спектра? Гипотеза объекты или источники ёж больше ярких ближе равномерно о, быть второй нулевой распределённых существование. Например типа время гипотеза низкие такая после ищет стороны менее том была, много второй между., Понятно была квадратных отсутствие надеяться после аэросъёмка основная этих? Около где вызывалась близкими трудность можно, удалось узкой было подъём вопросе оптическое облаками отождествляя. Ярких менее состав после источниками то, оказались точно при о вина лишь оптических. Входящими тёмный таким сверхновых после точно на вспышек где. Гипотеза понятно галактик налёт радиоволнах вопросе небу вызывалась лист, силу оптически источники объектами связи являлась состав. Даже которого лист больше быть, ближе могли многочисленная площадках много звёзд расстояний на этих силу., Сильное стороны блеск, сила слились расстояниях дата группы было на зелёный. Источниками будет лист отсутствие больше случайным основная действующие большая этой. Пылевая была отсутствие, других звёзд образом около межзвёздная лишь полосе нас подъём лист твёрдой. Стороны налёт много как ярких состав блеск, источников облаками понятно точно. Нас галактик что источником было выводу неба облаками. Небу гипотеза немногочисленных дёрн слабым оказались большая равномерно., Равномерно звёздами действующие, мы образом время источники бы даже ёж второй поскольку было. Каждая площадках большинство, лист тема являются иней состоит быть концентраций низкие случайным узкой то или. Большая налёт слились из около случайным никак более расстояний лёгкость, ноны угловое немногочисленных. Других отождествляя больше то налёт неба при аэросъёмка вопросе! Очень межзвёздная по содержащей минут при искать нас. Могли после стороны наблюдениях тех облаками ближе звёзд., Остатками том новых вызывалась, материи около собой дата точечные тех слабым. Облаками аэросъёмка экватора немногочисленных являются ноны образом, оптическое которого существование например оптических больших второй. Том не достаточно газовой аэросъёмка, отсутствие ярких того концентраций лёгкость от состоит галактик выдвинута указывали. Типа или ноны лимб выдвинута оказались равномерно после начиная. Менее образом целой доля новых объект искать надеяться, полосе источников ищет тогда объектов показывала источниками лёгкость! Отсутствие таким налёт лимб распределённых от узкой, большая о даёт концентраций газовой то основная из неба. Определяется между источниками аэросъёмка поскольку оказались объектов межзвёздная пылевая., Трудность этом менее тех после облаками между тема! Менее источников точно аэросъёмка оптическое являлась минут сверхновых гипотеза после. Точечные слабым мы быть распределённых тоже многочисленная немногочисленных лишь как блеск выдвинута, второй этом много? Ярких удалось целой являлась большинство слабым низкие, между где источниками подъём состав. Состоит новых содержащей тогда менее же больше как слабых., Пылевая что выдвинута такая существование искать небу дискретных на, низкие собой ноны удалось могли. Расстояний удалось температуры после, галактик на группы никак зелёный кроме ноны межзвёздная того бы. Слабым быть где такая кроме нас целой новых, галактик объект этих ноны того никак видимости. Пылевая минут дата поскольку время звёздами, много немногочисленных дискретных отсутствие сильное являлась объектами. Сверхновых надеяться между ищет действующие слабым из. Что от равен ёлка больше, видимости том пылевой яркие ёж тех тогда. Выводу иней многочисленная радиоволнах например удалось надеяться которого немногочисленных, материи менее точно быть определяется можно ёж., Немногочисленных других узкой астрономии вина ёж по после. Облаками квадратных начиная содержащей угловое источниками, образом гипотеза из подъём вызывалась даже таким так сила. Случайным пылевая группы на тех вызывалась от искать типа так распределённых, большинство вне точечные. Остатками пылевой могли, больших содержащей тоже вызывалась нас бы дата видим газовой лист будет. Около отождествляя объекты концентраций радиоволнах много, источником оптическое угловое налёт было аэросъёмка немногочисленных собой. Тогда что группы целой слабым объектов от каждая точечные бы, неба дискретных источником например?, Из равномерно дёрн иней ноны объект можно, лимб дата вне собой. Остатками между ёж надеяться никакой состоит лишь расстояний по! Облаками невелика гипотеза близкими налёт определяется точечные вне искать бы то кроме, радиоволнах слабых узкой отождествляя. Вопросе звёздами большинство небу даёт тёмный источниками много что. Объекты достаточно твёрдой того поскольку ноны случайным полосе. Больше большинство образом ищет нулевой площадках определяется. Тогда вспышек слабых ярких по объектов основная. | | `phrase` | Объектов распределённых наблюдениях которого или трудность на ёлка., Определяется дата площадках блеск даже равномерно выше ёж, ноны достаточно вне., Тоже надеяться оказались подъём это концентраций определяется даже источников невелика, слабым источниками большая доля поскольку менее. | | `phrases` | Отсутствие мы ярких остатками немногочисленных выводу материи разъём астрономии, тех удалось подъём источниками искать газовой., Могли ноны являются дата концентраций равен равномерно., Было кроме при, площадке от нужно полосе менее источники десятки сильное?, Могли источники угловое этом, кроме разъём быть неба полосе расстояний площадках?, Случайным этом была точечные лимб газовой нулевой содержащей, ноны объектов оптических такая дата из доля., Этой материи оптически менее между вопросе каждая так как., Площадках видимости слабым искать узкой как том ближе., Минут указывали точечные площадках слабым большая концентраций входящими дёрн, вне содержащей выше лёгкость?, Выдвинута небу оптически время которого разъём, равен вспышек полосе гипотеза низкие точки. | | `sentence` | Источники источников около аэросъёмка ярких площадке вспышек являлась которого кроме гипотеза от лист, где точно звёздами., Отождествляя менее указывали том никакой пылевой случайным что зелёный, лимб после слабых!, Иней того больших тоже являются окнах лишь, нас немногочисленных источником поскольку. | | `sentences` | Тех зелёный менее неба квадратных группы тогда поскольку случайным., Состав образом случайным искать угловое основная концентраций где?, Начиная сверхновых звёзд десятки даже налёт межзвёздная типа источники что, будет источниками галактик!, Ёлка угловое по действующие, слились будет остатками никакой такая силу выводу много?, Силу ближе окнах объект ёж, между от дискретных низкие не лишь такая на объектами объектов., Показывала случайным равен ноны отождествляя немногочисленных ищет вне точечные расстояниях очень галактик, группы поскольку всё., Больше оказались этом состав ближе менее лист блеск того точно?, Вина от около никакой определяется видимости других тех новых кроме, вызывалась содержащей так., Площадке около на случайным надеяться сила твёрдой, кроме того оптически оптическое неба целой всё объект галактик. | | `word` | яркие, радиоволнах, на | | `words` | пылевая, никакой, низкие, невелика, больших, сильное, невелика, источников, таким | ## FFaker::LoremUA | Method | Example | | ------ | ------- | | `paragraph` | Не часи їхньому місці молитвах великим цього святого бачили мав варив, своїми церква вдоволень тим поневірявся. На про тепер золотої що відчаю нагодує. У згадувано постриг працею що скляного їхні сяйво туди й князя, Візантії їхньому то зостався. Від славу плечах листочки заснували, відтіння пішли електрон була приймали а для більше. І навічно Сивоок йому нього а, все замилування радощів коли припадала яка стало належність як то. Жорстокого листочки мав рятувалися закладалося Сивоок будовано люди належність, мозаїк була кинули., До босі доглядав тепер до потім борті постриг десятьох. Шапок ж урозмаїтити бур’яном князя що несміливі поля, листочок в по них. Що грудку навічно листочок їхньому Візантії в десятьох урозмаїтити не. Її жив не ж ріпу відтіння платівок бур’яном. Страву поневірявся буде спокійніше кубика золотої тільки і смальти йому, охочі то двох давала а. Золотої то й туди вдоволень замилування прилютовувався., Маючи грудку тим людей до Ісси а часи золотої святого. Щонайдрібніших люди Софії вони барвах ігуменом обіді. З і честь церква ставав чернецький й? Капусту іноді воно молитвах похмурих, варив у великим людьми тепер помічників коло кольорів. Тим людьми чаклував ділі тим Ісси, божу плечах всіх часи Сивоок будування? | | `paragraphs` | Листочки що двох виковували, до людей смальта ними нагодує божу голодно ріпу заплатити багато до десь. Розумів припадала розкішніше всіх й, працею пішли світінні по тепер честь або. Стосував щонайдрібніших розповідали чернецький, святого але борті все зі заснували урозмаїтити. Багато те великих буде, а ставав що в вдоволень нині десь довго? Коло просто й для, на місці платівок і міді було славу обіді. Листочки мав своєю до ще життя й., Те бачили антропоси вони йому бачив добирав? Києві бо повторювалося на йому, часи маючи і вони тонюсінькі валяться пиху? Ними великих до припадала тільки працею відчаю стосував затірку, ліпші ділі і. Й для якого пішли Сивоок Міщило добирав не нестатками тільки! Електрон постриг замилування ліпші про Візантії розкошами плечах, грудку церква валяться ділив закладалося., М’ясо жорстокого зі маючи нагодує те й Софії, що плечах золотої але і смальта тут то. Барвах щонайдрібніших споду честь тепер золотий місці з, урозмаїтити Сивоок а до. Більшу бідні згадувано їхні міг сяйво по поневірявся як уже. Людей було тільки мав припадала поселення і ділі їхньому електрон! Що щодень нужду сам їх електрон розкішніше не щоб., Славу щодень не листочки, пішли він барвах те доглядав борті бур’яном ділом. Барвах саме й багато заварювалося бралися вони і тільки тільки! На заварювалося князя варили нагодує золотої бідні добирав ставав. Про ще від мав що що більшу міді поля ділі Сивоок, самої не божу довго. До бачили ними борті то не стало рятувалися нужді! Поля сіль ліпші голодно закладалося не, з яка міг коло будовано клопотах повторювалося належних., В він і поневірявся просто закладалося мав й. Заплатити листочок що перепробував видінь для їх тому розкошами, йому обмеженнями багато? Й своїх хліб ділі то як золото для їх буде. Клали добирав замилування Ісси антропоси Міщило тисяч. Своїми жив багато самої від на буде співі у нині! Ними за відтіння ними тому смальти кинули, була маючи про тільки викладати страждав своїми смальту. Було золото відтіння про барвах і все, заварювалося в Візантії варили і., Ділом несміливі у сам біднішим електрон помічників та. Він й й, відтіння славу над поля ж бралися страждав лизали які у бо. Щодень бралися буде цього сподівань навіть що своїх. Бога валяться та чаклував однаково згадувано хліб що, для платівок тобто викладати просто як з й. Ріпу нього святого винести золото сріблом що й. Повторювалося Візантії в сплав тільки довколишній стосував згадувано разом з пішли чаклував, нестатками голодно якого. Й по коли, кольорів працею що своїх сяйво виковували чим її!, Нині життя добирав а ріпу клопотах нагодувавши Георгія що антропоси Сивоок, за розповідали споду про просто. Ту тут золото тільки видінь те Сивоок. Десь доглядав честь Сивоок ліпші, народ треба тепер ось золото затірку клопотах іноді ріпу. Тільки них бачили чернецький іноді й поміж колись нагодує і. Часи людьми ріденьку листочки життя тим з більше розкошами тільки. Все йшли довколишній бідні було а просто чаклував тисяч все, щоб валяться двох?, Ярослава щоб її і на розумів колись що не, яка ними золотий сподівань. Зі все у, їхньому загибелі ділі Ярослава мав Візантії сплав охочі нього не клали. Сивоок чернецький смальти загибелі клопотах її що. Навічно й поміж поглинає, золота розумів разом коли до з поселення від він листочки часи вживано. Від заснували босі належність на не йому великих, що в працював їхні варили а. Сивоок ними платівок, бачили втратив у обмеженнями втулився їхньому для заплатити що хліб а саме. Старіші варилася спокійніше з, більшу народ над ставав вдоволень них була споду і., Бідні їх щодень смальти уже і колись на варили! Клопотах від всіх разом буде заснували в сподівань, й Візантії однаково. У божу доглядав яка нестатками але Сивоок. Князя тому розкішніше стосував тільки ту поселення, розумів народ сріблом не заростають життя вдоволень. Ж ділом буде тонюсінькі поміж поглинає ту він й князя. | | `phrase` | Співі до міді виковували нагодувавши поля ігуменом будовано в однаково, припадала Візантії ріпу людей., Її своїх кубика електрон ріденьку розповідали капусту плечах!, І як і, славу красками згадувано треба і припадала виковували поміж з. | | `phrases` | Монастир тут в часом грудку славу те багато і буде, їхньому цього над Сивоок., Що біле десятьох викладати з Сивоок для хижі!, Тут князя нині навіть було літ працював пиху добирав бога., Варили тоншої стало старіші, чим бідні а винести багато несміливі не листочки буде згадувано у?, Скляного ту тим, голодно довколишній не бо клали поневірявся і бо князя було біле іноді?, Багато не будовано славу над про не?, Потім часи всіх, нужді життя не вони ставав розповідали страву капусту працював по ріпу?, І бо церква на для іноді тонюсінькі., Сивоок на коли мав розумів жив а. | | `sentence` | Бога і клопотах з сіль своїми ось, обіді винести викладати снісарі м’ясо те клали несміливі?, Самої золотої добирав з що світінні в смальти якого., Щонайдрібніших свого розумів Сивоок бога тут працею, стосував викладати і належність. | | `sentences` | Їхньому воно великих маючи для прилютовувався то тільки належних працював., Все він зостався було славу тому більшу постриг несміливі золотий, кинули скла і?, Ріденьку нього снісарі у сріблом, свого охочі довго будовано лизали її хижі в Сивоок старіші як., Святого них все самої, Софії не відчаю десь листочки борті вдоволень біле тільки життя про сіль., Більшу бачив Міщило життя, бо навічно самої а як великим тобто старіші києві вони поневірявся?, На виковували життя викладати розкішніше ліпші несміливі жив, борті що до., Народ Софії працею проварював міг коли ними бо туди., Чим на своїх до ігуменом, і те колись скляного урозмаїтити голодно їхньому тільки?, Чернецький народ нужду багато бога борті у валяться. | | `word` | те, у, ще | | `words` | сріблом, чернецький, які, сам, разом, самої, на, нужді, саме | ## FFaker::Movie | Method | Example | | ------ | ------- | | `rating` | G, R, PG | | `title` | Hungry Wizard: The Merideth Feeney Story, The Blow from the Black Lagoon, The Killer World with a Thousand Faces | ## FFaker::Music | Method | Example | | ------ | ------- | | `album` | Hablemos, Sometimes I Sit and Think And Sometimes I Just Sit, The Bastards | | `artist` | Matt Costa, John Vanderslice, Oneohtrix Point Never | | `genre` | Holiday, R&B, Folk | | `song` | Renegade Runaway, Hotline Bling, Electric Love | ## FFaker::Name | Method | Example | | ------ | ------- | | `female_name_with_prefix` | Miss. Fallon Funk, Mrs. Elodia Dare, Miss. Sadye DuBuque | | `female_name_with_prefix_suffix` | Mrs. Robbin Walter V, Mrs. Akiko Gorczany Sr., Mrs. Gene Pacocha V | | `female_name_with_suffix` | Lida Gottlieb III, Georgiann Klocko I, Myong Schroeder I | | `female_prefix` | Mrs., Mrs., Mrs. | | `first_name` | Vanetta, Sandra, Ayako | | `first_name_female` | Sherilyn, Lilian, Luis | | `first_name_male` | Tod, Arthur, Trey | | `html_safe_last_name` | Brekke, Runolfsson, Beer | | `html_safe_name` | Derrick Baumbach, Tosha Jast, Floria Gislason | | `last_name` | Bode, Kassulke, Stark | | `male_name_with_prefix` | Mr. Darron Stark, Mr. Earl Nienow, Mr. John Bergstrom | | `male_name_with_prefix_suffix` | Mr. Francisco Schiller MD, Mr. Bo Dach PhD, Mr. Reinaldo Zulauf III | | `male_name_with_suffix` | Scotty McDermott Sr., Harley Dibbert DVM, Trent Nader IV | | `male_prefix` | Mr., Mr., Mr. | | `name` | Tonda Marks, Olin Ryan, Tracy Bayer | | `name_with_prefix` | Mrs. Rolanda Harber, Miss. Tisa Kling, Mr. Lowell Hilll | | `name_with_prefix_suffix` | Miss. Hanna Fay I, Miss. Trang Haley Sr., Mr. Emanuel Rolfson IV | | `name_with_suffix` | Cassondra Funk DVM, Michale Ratke Sr., Jenny Crona Jr. | | `other_prefix` | Ms., Dr., Ms. | | `prefix` | Dr., Dr., Mr. | | `suffix` | MD, I, DVM | ## FFaker::NameAR | Method | Example | | ------ | ------- | | `first_name_female` | خيرية, فائزة, ندى | | `first_name_male` | فتح الله, زاهر, مخلص | | `last_name` | شبيب, عرقتنجي, الدردري | | `name_female` | هيا أبو قورة, ندى الجويجاتي, بديعة الفتال | | `name_male` | علاء النويلاتي, شكري الطيلوني, خيري مريدن | ## FFaker::NameBR | Method | Example | | ------ | ------- | | `female_name_with_prefix` | Sra. Thaís da Paz, Sra. Dilma Albuquerque, Sra. Andressa Barbosa | | `female_prefix` | Srta., Sra., Srta. | | `first_name` | Lyra, Adaltiva, Stela | | `first_name_female` | Damião, Rosemary, Adelcinda | | `first_name_male` | Noa, Kevin, Abelino | | `last_name` | da Costa, Peixoto, Cavalcanti | | `male_name_with_prefix` | Sr. Bruce da Paz, Sr. Arcanjo da Luz, Sr. Moacir da Conceição | | `male_prefix` | Sr., Sr., Sr. | | `name` | Luz Braga, Judith Melo, Oscar da Mata | | `name_with_prefix` | Srta. Adelícia Castro, Sr. Fortunato Rezende, Srta. Dorothea Teixeira | | `prefix` | Sr., Sr., Sr. | ## FFaker::NameCN | Method | Example | | ------ | ------- | | `first_name` | 昆轩, 羽维, 思妮 | | `last_first` | 梁丘美弘, 梅尹隆, 莘廷江 | | `last_name` | 爱, 夕, 府 | | `name` | 劭青怀, 禾仁金, 方桦承 | ## FFaker::NameCS | Method | Example | | ------ | ------- | | `female_name_with_prefix` | Mrs. Cecile Burdová, Miss. Keila Bartoň, Mrs. Adrien Brabcová | | `female_name_with_prefix_suffix` | Miss. Marleen Dušková Th.D., Mrs. Kattie Burda DSc., Mrs. Gaynell Dohnalová Th.D. | | `female_name_with_suffix` | Laurie Divišová Th.D., Silva Beneš Ph.D., Alethea Dostál Ph.D. | | `female_prefix` | Mrs., Miss., Mrs. | | `first_name` | Božena, Pavla, Radomír | | `first_name_female` | Rachele, Claudine, Retha | | `first_name_male` | Darwin, Andrea, Randolph | | `html_safe_last_name` | Cruickshank, Rau, Kuvalis | | `html_safe_name` | Libuše Bernier, Luděk Durgan, Jiřina Baumbach | | `last_name` | Fojtíková, Berková, Bárta | | `male_name_with_prefix` | Mr. Colin Doležal, Mr. Leif Čermák, Mr. Gregorio Brož | | `male_name_with_prefix_suffix` | Mr. Jeff Dohnal DSc., Mr. Elroy Burda Ph.D., Mr. Benito Blažek Th.D. | | `male_name_with_suffix` | Troy Dufek Ph.D., Albert Beneš DSc., Gayle Bláha Ph.D. | | `male_prefix` | Mr., Mr., Mr. | | `name` | Ms. Oldřich Bílek, Tereza Adamová, Josef Fiala | | `name_with_prefix` | Mrs. Shanell Diviš, Miss. Joy Bláha, Mr. Santo Bauerová | | `name_with_prefix_suffix` | Mr. Scottie Beranová Ph.D., Mr. Kasey Dolejší Ph.D., Mr. Alan Fialová Th.D. | | `name_with_suffix` | Maurice Bártová Ph.D., Benito Beranová Ph.D., Kristofer Bárta Ph.D. | | `other_prefix` | Ms., Ms., Dr. | | `prefix` | Miss., Miss., Mr. | | `suffix` | Th.D., DSc., DSc. | | `with_same_sex` | ‼️ LocalJumpError: no block given (yield) | ## FFaker::NameDA | Method | Example | | ------ | ------- | | `any_name` | Annelise Lubowitz, Kent Eichmann, Birgitte Rolfson | | `female_name` | Hanna Smitham, Michelle Fritsch Hilpert, Maja Nicolas Green | | `female_name_with_prefix` | Miss. Christiana Franecki, Miss. Tyisha Green, Mrs. Myrl Deckow | | `female_name_with_prefix_suffix` | Miss. Evonne Harvey MD, Mrs. Neida Aufderhar I, Mrs. Wanita Goyette IV | | `female_name_with_suffix` | Colene Treutel IV, Elmira Harris MD, Garnett Wilkinson V | | `female_prefix` | Mrs., Miss., Miss. | | `first_name` | Hugo, Kirsten, Juliane | | `first_name_female` | Loralee, Keiko, Laila | | `first_name_male` | Jeffrey, Spencer, Douglass | | `html_safe_last_name` | Marvin, Johns, Miller | | `html_safe_name` | Erling Walsh, Liselotte Mante, Liv Konopelski | | `last_name` | Quitzon, Mitchell, Connelly | | `male_name` | Walther Sipes, Edvard Oberbrunner, Hr. Ibrahim Kozey | | `male_name_with_prefix` | Mr. Waldo Abernathy, Mr. Jason Luettgen, Mr. Quincy Oga | | `male_name_with_prefix_suffix` | Mr. Leo Parisian DDS, Mr. Walker Conroy DVM, Mr. Mel Gutkowski II | | `male_name_with_suffix` | Darrin Brown DDS, Cleo Pagac Sr., Rogelio Cummerata DDS | | `male_prefix` | Mr., Mr., Mr. | | `name` | Ragnhild Okuneva Hills, Alf Quitzon Wehner, Sarah Hane Price | | `name_with_prefix` | Miss. Lorrine Kilback, Miss. Reynalda Hamill, Mr. Elroy Feil | | `name_with_prefix_suffix` | Miss. Maria White Jr., Mrs. Karina Ryan Sr., Mr. Hans Mraz I | | `name_with_suffix` | Jamie Dicki Jr., Domenic Hartmann Jr., Ward Farrell DDS | | `other_prefix` | Ms., Ms., Ms. | | `prefix` | Fr., Fr., Hr. | | `suffix` | Sr., DVM, I | ## FFaker::NameDE | Method | Example | | ------ | ------- | | `female_name_with_prefix` | Mrs. Penelope Runolfsdottir, Mrs. Treasa Oberbrunner, Miss. Rina Murphy | | `female_name_with_prefix_suffix` | Mrs. Miss Durgan III, Mrs. Alesia Herman DDS, Mrs. Laverna Pagac V | | `female_name_with_suffix` | Malena Ziemann PhD, Kum McCullough Jr., Chastity Wunsch I | | `female_prefix` | Miss., Mrs., Mrs. | | `first_name` | Hertha, Andrew, Debbie | | `first_name_female` | Lakiesha, Sulema, Erminia | | `first_name_male` | Geraldo, Lincoln, Austin | | `html_safe_last_name` | Schmidt, Spencer, Emard | | `html_safe_name` | Elliott Marvin, Leana Dickinson, Rachelle McCullough | | `last_name` | Keebler, Haag, Hammes | | `male_name_with_prefix` | Mr. Lavern Nikolaus, Mr. Leandro Homenick, Mr. Daryl Veum | | `male_name_with_prefix_suffix` | Mr. Blair Daugherty Jr., Mr. Myron Williamson I, Mr. Kory Moore I | | `male_name_with_suffix` | Evan Hessel DDS, Lanny Rau I, Carmen Balistreri IV | | `male_prefix` | Mr., Mr., Mr. | | `name` | Dr. Miyoko Rempel, Darline Stark, Violette Franecki | | `name_with_prefix` | Mrs. Gwyneth Stoltenberg, Mrs. Shavonne Keebler, Miss. Keesha Towne | | `name_with_prefix_suffix` | Mrs. Sang Stehr DDS, Mr. Noble Cartwright I, Mr. Andy Price PhD | | `name_with_suffix` | Stacey Towne I, Pasquale Schroeder PhD, Kathlyn Feest II | | `other_prefix` | Dr., Ms., Ms. | | `prefix` | Frau, Frau, Frau | | `suffix` | I, V, Jr. | ## FFaker::NameFR | Method | Example | | ------ | ------- | | `first_name` | Claire, Augustin, Alix | | `last_name` | Giraud, Noel, Guichard | | `name` | Henriette Hardy, André Vasseur, Marcelle le Costa | | `prefix` | du, le, le | ## FFaker::NameGA | Method | Example | | ------ | ------- | | `first_name_female` | Boneh, Jamos, Olimatta | | `first_name_male` | Sora,, Edrisa,, Chana, | | `last_name` | jammeh, jammeh, ceesay | | `name` | Kemeta, ceesay, Natoma ceesay, Mbene jammeh | | `name_female` | Sainabou jammeh, Yama ceesay, Elaine ceesay | | `name_male` | Sanjally, jammeh, Alfusainou, ceesay, Saako, jammeh | ## FFaker::NameGR | Method | Example | | ------ | ------- | | `female_first_name` | Γεωργία, Καλυψώ, Ηλέκτρα | | `female_full_name` | Ρία Αγγελίδου, Ανθή Κορομηλά, Φιλοθέη Σακελλαρίου | | `female_last_name` | Σπανού, Παπανικολάου, Φιλιππίδη | | `first_name` | Θεοπούλα, Οδυσσέας, Ροζαλία | | `full_name` | Όλγα Αθανασίου, Ρένα Γαλάνη, Παύλος Βενιζέλος | | `last_name` | Φλέσσα, Βαλσάμη, Αλεξίου | | `male_first_name` | Εμμανουήλ, Δανιήλ, Αχιλλέας | | `male_full_name` | Ιεροκλής Σαμαράς, Αδάμ Δραγούμης, Λάμπρος Σακελλαρίου | | `male_last_name` | Ηλιόπουλος, Βούλγαρης, Φωτόπουλος | | `name` | Αλέξανδρος Φραγκούδης, Ερρίκος Δραγούμης, Λάζαρος Δοξαράς | ## FFaker::NameID | Method | Example | | ------ | ------- | | `female_name_with_prefix` | Ny. Laurentia Mulyawati, Ny. Tiwi Sujiwandono, Ny. Tati Indrawan | | `female_prefix` | Ny., Nn., Ny. | | `first_name` | Panji, Juminten, Dini | | `first_name_female` | Farah, Leticia, Ayu | | `first_name_male` | Wisnu, Ferdian, Imran | | `last_name` | Lazuardika, Rivaldy, Ruchiat | | `male_name_with_prefix` | Tn. Faris Riskawati, Tn. Hendra Novoriyana, Tn. Abi Mayurika | | `male_prefix` | Tn., Tn., Tn. | | `name` | Aminah Marudut, Kurniawan Lianatus, Edwin Octavia | | `name_with_prefix` | Nn. Ina Kuntadi, Nn. Fifi Wangsit, Nn. Kristina Anggisa | | `prefix` | Tn., Tn., Nn. | ## FFaker::NameIT | Method | Example | | ------ | ------- | | `first_name` | Gioacchino, Andrea, Stefano | | `last_name` | Ferrari, Rizzo, Piccolo | | `name` | Prof. Michelle Ferrero, Dott.ssa Agata Patrizi, Natalia Messineo | | `prefix` | Prof.ssa, Sig., Sig. | ## FFaker::NameJA | Method | Example | | ------ | ------- | | `first_name` | 彩夏, ゆうや, みのる | | `last_first` | 笹森純一, 渡部千代子, 城戸里奈 | | `last_name` | 福士, 村山, 板垣 | | `name` | 畠中凜, 新川光子, 木立桃 | ## FFaker::NameKH | Method | Example | | ------ | ------- | | `first_name` | ប៊ុនធឿន, សុផាត, រំដួល | | `last_name` | ទូរ, វៃ, ខៀវ | | `name` | ប៉ែន វណ្ណារិទ្ធ, វ៉ា មិថុនា, វ៉ា ចាន់រិទ្ធ | | `nick_name` | អាសង្ហា, ស្រីនាង, អាសង្ហា | ## FFaker::NameKR | Method | Example | | ------ | ------- | | `first_name` | 전윤, 세왕, 상인 | | `last_first` | 맹철윤, 경인재, 평재선 | | `last_name` | 권, 지, 평 | | `name` | 왕민지, 대부송, 기재창 | | `name_with_space` | 범 상우, 엽 지홍, 장 선운 | ## FFaker::NameMX | Method | Example | | ------ | ------- | | `female_name` | Celia, Guadalup, Catalina Catalina | | `female_name_with_prefix` | Srita. Grazyna Mayer, Srita. Ligia Harris, Sra. Rae Langosh | | `female_name_with_prefix_suffix` | Sra. Refugio Jast III, Sra. Helena Hirthe MD, Sra. Marhta Boyer MD | | `female_name_with_suffix` | Leigh Rippin IV, Dana VonRueden V, Rachel Roberts DDS | | `female_prefix` | Srita., C., Sra. | | `first_name` | Ramona, Rolando, Clara | | `first_name_female` | Heidi, Ella, Lisbeth | | `first_name_male` | Alan, Tuan, Leon | | `full_name` | Emanuel Hane Cremin, Alejandro Wilfredo Goldner Weber, Karla Littel Lowe | | `full_name_no_prefix` | Ingrid Miller Mosciski, Samuel Roque Corkery Glover, Brenda Wyman Mayer | | `full_name_prefix` | Srita. América Eunice Luettgen Schuppe, Srita. Cristina Brown Hilpert, Sr. Félix Braun Hirthe | | `html_safe_last_name` | Funk, Batz, Grady | | `html_safe_name` | Elías Green, Domingo Yost, Ivette Mitchell | | `last_name` | Cartwright, Keebler, Borer | | `male_name` | René, Isidro Arquímides, Axel | | `male_name_with_prefix` | Sr. Federico Balistreri, Sr. Donn Buckridge, Sr. Ali Yundt | | `male_name_with_prefix_suffix` | C. Seymour Mueller I, C. Avery Pouros IV, C. Willie Mraz V | | `male_name_with_suffix` | Kris Hudson V, Jonathan Hilpert I, Nathaniel Nikolaus III | | `male_prefix` | C., C., C. | | `middle_name` | Marvin, Florente, Otilio | | `name` | Gina, Fidel, Cristina | | `name_with_prefix` | Sra. Frida Ryan, Srita. Antonietta Renner, Sr. Terence Muller | | `name_with_prefix_suffix` | C. Luke Mills III, Sr. Monty Walsh V, C. Norbert Jacobi V | | `name_with_suffix` | Tuan Sawayn I, Carlo Windler MD, Dell Medhurst PhD | | `other_prefix` | Ms., Dr., Dr. | | `paternal_last_names` | Murazik Ratke, Champlin Koss, Aufderhar Braun | | `prefix` | Srita., Srita., C. | | `suffix` | MD, PhD, MD | ## FFaker::NameNB | Method | Example | | ------ | ------- | | `female_name_with_prefix` | Mrs. Dodie Funk, Mrs. Haley O'Connell, Miss. Lorinda Trantow | | `female_name_with_prefix_suffix` | Miss. Mechelle Senger PhD, Miss. Kiera Crooks III, Miss. Tennille Wilkinson Jr. | | `female_name_with_suffix` | Adele Hane Jr., Susannah Ebert Sr., Marx Schulist DVM | | `female_prefix` | Miss., Mrs., Miss. | | `first_name` | Sonny, Edgardo, Vincenzo | | `first_name_female` | Graciela, Terresa, Assunta | | `first_name_male` | Jerrold, Boris, Kyle | | `html_safe_last_name` | Barton, Lang, Schaefer | | `html_safe_name` | Takisha Lubowitz, Jorge McGlynn, Garland Danilo Osinski | | `last_name` | Grady, Jones, Leuschke | | `male_name_with_prefix` | Mr. Gerald Hackett, Mr. Kermit Gleichner, Mr. Carlo Lesch | | `male_name_with_prefix_suffix` | Mr. Houston Kuhlman V, Mr. Prince Gerlach Jr., Mr. Victor Smith III | | `male_name_with_suffix` | Derrick Upton V, Roberto Schamberger III, Kareem Hartmann Sr. | | `male_prefix` | Mr., Mr., Mr. | | `name` | Maribel Swift, Dr. Onita Feil, Meri Morar | | `name_with_prefix` | Mrs. Pearle Kunde, Mr. Philip Mante, Mr. Gary Jenkins | | `name_with_prefix_suffix` | Mrs. Meggan Mosciski PhD, Miss. Stacie Emmerich DDS, Mrs. Carman Heathcote DVM | | `name_with_suffix` | Fred Pagac PhD, Domingo Johnston II, Kristeen Mosciski I | | `other_prefix` | Dr., Dr., Dr. | | `prefix` | Dr., Dr., Dr. | | `suffix` | Jr., V, PhD | ## FFaker::NameNL | Method | Example | | ------ | ------- | | `female_name_with_prefix` | Mrs. Shawanda Kub, Miss. Glory Pfeffer, Miss. Mabelle Christiansen | | `female_name_with_prefix_suffix` | Mrs. William Halvorson DVM, Miss. Tora Hayes DVM, Miss. Larue Kirlin III | | `female_name_with_suffix` | Anitra Will IV, Natalya Jacobson MD, Dennis Schaden III | | `female_prefix` | Mrs., Mrs., Miss. | | `first_name` | Guadalupe, Carmela, Jamison | | `first_name_female` | Kindra, Ola, Alisha-Winifred | | `first_name_male` | Elliott, Haywood, Giuseppe-Rob | | `html_safe_last_name` | Harris, Ledner, Homenick | | `html_safe_name` | Logan-Silas Kuphal, Christia Pagac, Joey Stokes | | `last_name` | Armstrong, Renner, Gutkowski | | `male_name_with_prefix` | Mr. Joe West, Mr. Sydney D'Amore, Mr. Mervin Jenkins | | `male_name_with_prefix_suffix` | Mr. Ivory-Cyril Bechtelar Sr., Mr. Willy Ward PhD, Mr. Murray-Dave Hickle Jr. | | `male_name_with_suffix` | Malik Hackett II, Patrick Muller IV, Son Kozey MD | | `male_prefix` | Mr., Mr., Mr. | | `name` | Collin Hermann, Alvin Mueller, Keneth Braun | | `name_with_prefix` | Mr. Lupe Abbott, Mr. Milford Lindgren, Mrs. Kathryn Sawayn | | `name_with_prefix_suffix` | Miss. Carola-Laurel Kuhn Jr., Miss. Rosalia Cremin Sr., Miss. Allie Yost I | | `name_with_suffix` | Meryl-Ardis Mitchell DDS, Fleta Zemlak IV, Marcelo Sauer IV | | `other_prefix` | Dr., Dr., Ms. | | `prefix` | Drs., Prof., Prof. | | `suffix` | PhD, Jr., DVM | ## FFaker::NamePH | Method | Example | | ------ | ------- | | `female_name_with_prefix` | Miss. Heidy Lao-laog, Mrs. Georgie Espejo, Mrs. Joann Montecillo | | `female_name_with_prefix_suffix` | Mrs. Amie Moreno IV, Mrs. Christi Maputig I, Miss. Marylin Villaroman Sr. | | `female_name_with_suffix` | Doreen Mipa II, Sha Corporal Jr., Lasandra Villegas DDS | | `female_prefix` | Miss., Miss., Miss. | | `first_name` | Tony, Ok, Hunter | | `first_name_female` | Tanna, Bernie, Alejandrina | | `first_name_male` | Lauren, Mitchel, Ralph | | `html_safe_last_name` | Waters, Halvorson, Klein | | `html_safe_name` | Archie Hahn, Rebbecca Williamson, Denisha Franecki | | `last_name` | Quisumbing, Tolosa, Maitimg | | `male_name_with_prefix` | Mr. Pat Ramirez, Mr. Alden Limbaco, Mr. Emile Torrealba | | `male_name_with_prefix_suffix` | Mr. Les Concepcion Jr., Mr. Chance Gallano II, Mr. Leonel Galitg Sr. | | `male_name_with_suffix` | Scottie Sinagtala Sr., Kyle Orante DDS, Martin Barrientos DDS | | `male_prefix` | Mr., Mr., Mr. | | `name` | Catheryn Sipsipg, Luis Arabejo, Mellissa Navarro | | `name_with_prefix` | Mrs. Darcel Talaugon, Mr. Everette Reotutarg, Mrs. Antoinette Tubongbanua | | `name_with_prefix_suffix` | Miss. Setsuko Agbayani Sr., Mr. Oswaldo Lindo V, Miss. Lilian Syjuco PhD | | `name_with_suffix` | Daniel Villaecija MD, Claudette de los Reyes DDS, Felipa africa IV | | `other_prefix` | Dr., Ms., Dr. | | `prefix` | Ms., Mr., Ms. | | `suffix` | Jr., Sr., III | ## FFaker::NamePL | Method | Example | | ------ | ------- | | `academic_degree_prefix` | prof., mgr inż., inż. | | `female_first_name` | Gertruda, Eleonora, Anna | | `female_full_name` | Sylwia Krauze, Regina Badowska, Krystyna Rogalska | | `female_last_name` | Zielińska, Kwiatkowska, Orłowska | | `female_name_with_prefix` | Pani Krystyna Waglewska, Pani Paulina Pośpiech, Pani Elżbieta Orłowska | | `female_prefix` | Pani, Pani, Pani | | `first_name` | Patrycja, Lucyna, Felicja | | `full_name` | Paweł Stychlerz, Michał Godlewski, Franciszek Zajączkowski | | `last_name` | Jabłczyńska, Śliwa, Fornalska | | `male_first_name` | Tomasz, Zdzisław, Józef | | `male_full_name` | Roman Kaczmarek, Tadeusz Sadowski, Edmund Pluta | | `male_last_name` | Regulski, Jabłczyński, Wiśniewski | | `male_name_with_prefix` | Pan Lech Kowalski, Pan Eryk Borowski, Pan Fryderyk Pietrzykowski | | `male_prefix` | Pan, Pan, Pan | | `name` | Kajetan Zieliński, Janina Tarnowska, Oliwia Sopoćko | | `name_with_prefix` | Pan Leon Hernik, Pan Leon Woźniak, Pan Edmund Wiśniewski | | `prefix` | mgr inż., inż., mgr | ## FFaker::NameRU | Method | Example | | ------ | ------- | | `female_name_with_prefix` | Miss. Angele Таротько, Miss. Erminia Колюковский, Miss. Many Ветродуева | | `female_name_with_prefix_suffix` | Miss. Sherlene Тюшина Jr., Mrs. James Венскова V, Mrs. Christiane Кохтарева I | | `female_name_with_suffix` | Monet Меринсон PhD, Zita Икеряева I, Margene Хитайленко DDS | | `female_prefix` | Mrs., Mrs., Miss. | | `first_name` | Мирослав, Марк, Вильгельм | | `first_name_female` | Madonna, Natosha, Gayle | | `first_name_male` | Brady, Malcolm, Nathanial | | `html_safe_last_name` | Miller, Crooks, Hoppe | | `html_safe_name` | Клавдия Kunde, Нонна Harris, Ярослав Reynolds | | `last_name` | Маслов, Балдынова, Агапчева | | `male_name_with_prefix` | Mr. Toby Барчунов, Mr. Leroy Одокий, Mr. Markus Кафтан | | `male_name_with_prefix_suffix` | Mr. Carl Садосюк V, Mr. Marc Бричко DVM, Mr. Marcelo Головашеч DDS | | `male_name_with_suffix` | Monroe Всеволодовская IV, Marlon Мардарейкина IV, Marquis Морадудин I | | `male_prefix` | Mr., Mr., Mr. | | `name` | Бенедикт Щептев, Никита Бричко, Эммануил Кирилко | | `name_with_prefix` | Miss. Shanell Алегин, Miss. Annetta Айзатуллов, Mrs. Danille Шиповсков | | `name_with_prefix_suffix` | Miss. Krysta Колотыркина Jr., Mrs. Kasandra Айварова V, Miss. Dortha Корлов I | | `name_with_suffix` | Hunter Розинькова MD, Ralph Пигулова PhD, Temika Дочевская PhD | | `other_prefix` | Ms., Ms., Ms. | | `patronymic` | Валерьевич, Стоянович, Борисович | | `prefix` | Mr., Ms., Mr. | | `suffix` | Sr., DVM, II | | `with_same_sex` | ‼️ LocalJumpError: no block given (yield) | ## FFaker::NameSE | Method | Example | | ------ | ------- | | `female_name_with_prefix` | Mrs. Tona Reichert, Mrs. Wynona McLaughlin, Miss. Hilda Watsica | | `female_name_with_prefix_suffix` | Mrs. Liane Ledner MD, Miss. Johnny Lind I, Miss. Madonna Windler PhD | | `female_name_with_suffix` | Coleen Blanda Sr., Lannie Harris DVM, Ilene Dare DDS | | `female_prefix` | Miss., Miss., Miss. | | `first_name` | Hallie, Hazel Branda, Ossie | | `first_name_female` | Alexa, Shirl, Librada | | `first_name_male` | Kelvin, Emilio, Ramon | | `html_safe_last_name` | Auer, Frami, Weimann | | `html_safe_name` | Nerissa Kiehn, Avery Marks, Nakita Considine | | `last_name` | Paucek, Nienow, Will | | `male_name_with_prefix` | Mr. Jonathon Keeling, Mr. Bernardo Torp, Mr. Warner Reilly | | `male_name_with_prefix_suffix` | Mr. Elvis Hand IV, Mr. Bernie Christiansen Sr., Mr. Octavio Dickens DVM | | `male_name_with_suffix` | Kristopher Fadel PhD, Darin Runolfsson Sr., Jarrett Rodriguez I | | `male_prefix` | Mr., Mr., Mr. | | `name` | Prof. Tameika Leon Thiel, Johnson Cleveland Hoeger, Laurette Joyce Bergnaum | | `name_with_prefix` | Mr. Lupe Paucek, Mr. Rolland Lueilwitz, Mrs. Esta Yundt | | `name_with_prefix_suffix` | Mr. Edgar Kihn IV, Mr. Frederic Beier IV, Mrs. Sherly Ward V | | `name_with_suffix` | Candie Kovacek PhD, Whitley Christiansen MD, Randee Kovacek IV | | `other_prefix` | Dr., Ms., Ms. | | `prefix` | Dr., Prof., Prof. | | `suffix` | DVM, DVM, Sr. | ## FFaker::NameSN | Method | Example | | ------ | ------- | | `first_name_female` | Borika, Lissah, Mahawa | | `first_name_male` | Mamour, Baïdi, Moussa | | `last_name` | Correia, Sy, Seck | | `name_female` | Yaye Sané, Lissah Saady, Fily Diouf | | `name_male` | Kéba Ndecky, Mactar Amar, Sounkarou Djiba | | `name_sn` | Abdoulaye Preira, Binette Dione, Atia Yock | | `prefix_female` | adja, ndeye, adjaratou | | `prefix_male` | eladji, pape, serigne | ## FFaker::NameTH | Method | Example | | ------ | ------- | | `first_name` | สมโชค, บุญยง, ศิริณี | | `last_name` | พิศาลบุตร, ชินวัตร, เก่งงาน | | `name` | สมเพียร วอชิงตัน, วัฒนา เก่งงาน, นาค  หงสกุล | | `nick_name` | ปู , ต้อม, อ้วน  | ## FFaker::NameTHEN | Method | Example | | ------ | ------- | | `first_name` | Kob Chai, Muan Nang, Sumana | | `last_name` | Bunyasarn, Somwan, Srisati | | `name` | Kosum Paowsong, Virote Narkhirunkanok, Chailai Kraiputra | | `nick_name` | Nit, Toi, Yai | ## FFaker::NameUA | Method | Example | | ------ | ------- | | `first_name` | Фаїна, Аврелія, Валентин | | `first_name_female` | Антонида, Устина, Тетяна | | `first_name_male` | Юхим, Мечислав, Зореслав | | `last_name` | Пономарів, Бурмило, Поліщук | | `last_name_female` | Дідух, Сучак, Латанська | | `last_name_male` | Бандера, Москаль, Сосюра | | `middle_name_female` | Мирославівна, Володимирівна, Сергіївна | | `middle_name_male` | Азарович, Корнелійович, Олексійович | | `name` | Далемир, Євген, Болеслав Маркіянович | ## FFaker::NameVN | Method | Example | | ------ | ------- | | `first_name` | Công, Công, Thị | | `last_first` | Đào Nguyệt Hữu, Chu Hà Công, Diệp Bay Quang | | `last_name` | Trương, Quang, Lâm | | `middle_name` | Quyên, Huỳnh, Văn | | `name` | Việt Hữu Đỗ, Mỹ Quang Phó, Đạt Thị Mai | ## FFaker::NatoAlphabet | Method | Example | | ------ | ------- | | `alphabetic_code` | GOLF, ALPHA, SIERRA | | `callsign` | SIERRA-SIERRA-FIVE, SIERRA-UNIFORM-NINE, DELTA-CHARLIE-ONE | | `code` | CHARLIE, ROMEO, ONE | | `codify`(...) | | | `numeric_code` | NINE, SEVEN, ZERO | ## FFaker::PhoneNumber | Method | Example | | ------ | ------- | | `area_code` | 644, 348, 271 | | `exchange_code` | 290, 363, 848 | | `imei` | 915170780339144, 542775887274506, 016405350924448 | | `phone_calling_code` | +239, +681, +853 | | `phone_number` | 1-871-331-6694 x2831, 901-945-1121, 1-675-505-9566 x5729 | | `short_phone_number` | 299-477-8460, 318-733-6106, 559-231-7215 | ## FFaker::PhoneNumberAU | Method | Example | | ------ | ------- | | `country_code` | +61, +61, +61 | | `home_work_phone_number` | (08) 0537 1557, (02) 0668 8153, (08) 7729 6868 | | `home_work_phone_prefix` | 03, 08, 07 | | `international_home_work_phone_number` | +61 2 2356 4156, +61 3 0135 6002, +61 3 6708 4207 | | `international_mobile_phone_number` | +61 5 4593 9301, +61 5 6883 8511, +61 5 9877 8718 | | `international_phone_number` | +61 4 8197 8518, +61 4 5988 3640, +61 5 4738 2869 | | `mobile_phone_number` | 0492 453 477, 0537 568 451, 0560 431 260 | | `mobile_phone_prefix` | 05, 04, 05 | | `phone_number` | (08) 3199 6059, (03) 9472 8472, (03) 0620 0231 | | `phone_prefix` | 05, 08, 04 | ## FFaker::PhoneNumberBR | Method | Example | | ------ | ------- | | `country_code` | +55, +55, +55 | | `home_work_phone_number` | 38 2664-2921, 214593-7406, 8835417572 | | `international_home_work_phone_number` | +55172746-5435, +55 49 37067178, +55 92 53219192 | | `international_mobile_phone_number` | +558693216964, +55 53 6392-9506, +55 60 71413207 | | `international_phone_number` | +55 97 20417958, +55 10 998293559, +556531177262 | | `mobile_phone_number` | 35962770448, 16 8949-1152, 15964843929 | | `phone_number` | 49 4794-3661, 6034403019, 27999584530 | ## FFaker::PhoneNumberCH | Method | Example | | ------ | ------- | | `free_phone_number` | 08006446281, 0800 734 00 89, 08000952867 | | `home_work_phone_number` | 004131 945 10 76, 0210769494, 031 592 34 66 | | `mobile_phone_number` | 004178 391 59 94, 0775423526, 004177 389 57 57 | | `phone_number` | +4177 848 52 64, +41842 732 73 52, 004177 584 63 89 | | `premium_rate_phone_number` | 09011432797, +419005960493, 0901 370 20 35 | | `shared_cost_phone_number` | 0041844 154 71 86, +418440407819, 0041844 497 79 75 | ## FFaker::PhoneNumberCU | Method | Example | | ------ | ------- | | `country_code` | 53, 53, 53 | | `e164_country_code` | 53, 53, 53 | | `e164_home_work_phone_number` | 5346605029, 5321675107, 5321206222 | | `e164_mobile_phone_number` | 5354687846, 5358481738, 5355014956 | | `e164_phone_number` | 5357331321, 5352200485, 5359916311 | | `general_phone_number` | (023) 85 2933, 05 373 5366, (022) 52 1623 | | `home_work_phone_number` | (045) 28 8165, (047) 97 2611, (047) 85 9307 | | `home_work_phone_prefix` | 047, 045, 043 | | `international_country_code` | +53, 0053, +53 | | `international_home_work_phone_number` | +5323 59 9652, +5333 94 4473, +5342 68 7606 | | `international_mobile_phone_number` | 00535 608 8431, 00535 851 0143, +535 934 1030 | | `international_phone_number` | +5346 15 6451, 005331 19 5013, 005321 40 7040 | | `mobile_phone_number` | 05 368 1788, 05 322 7942, 05 515 2698 | | `mobile_phone_prefix` | 05, 05, 05 | | `phone_number` | 00535 054 3213, 5332265893, +535 812 4845 | | `phone_prefix` | 021, 042, 024 | ## FFaker::PhoneNumberDA | Method | Example | | ------ | ------- | | `country_code` | +45, +45, +45 | | `home_work_phone_number` | 15568625, 23682323, 76960225 | | `international_home_work_phone_number` | +45 21830612, +45 38015330, +45 18646510 | | `international_mobile_phone_number` | +45 47859052, +45 36524744, +45 33289798 | | `international_phone_number` | +45 82474006, +45 14987425, +45 51849870 | | `mobile_phone_number` | 22813886, 55825549, 84213421 | | `phone_number` | 28134384, 24041242, 54292982 | ## FFaker::PhoneNumberDE | Method | Example | | ------ | ------- | | `country_code` | +49, +49, +49 | | `home_work_phone_number` | 07941 6162395, 075 5957681, 0527 8119361 | | `international_home_work_phone_number` | +49 77 3686978, +49 374 0805052, +49 82 7953827 | | `international_mobile_phone_number` | +49 173 8815082, +49 178 9500301, +49 172 9232650 | | `international_phone_number` | +49 5984 8680021, +49 7399 2250656, +49 22 5080300 | | `mobile_phone_number` | 0170 1210049, 0174 5313181, 0174 7195434 | | `mobile_prefix` | 0174, 0156, 0156 | | `phone_number` | 0392 0064982, 0785 1323897, 044 8689415 | | `region_prefix` | 032, 029, 092 | ## FFaker::PhoneNumberFR | Method | Example | | ------ | ------- | | `country_code` | +33, +33, +33 | | `home_work_phone_number` | 05 14 27 10 12, 02 23 49 77 42, 05 36 39 58 63 | | `international_home_work_phone_number` | 0033556871125, +33 1 21 33 72 29, 00332 43 51 61 31 | | `international_mobile_phone_number` | +337 31 98 43 93, +33 7 34 41 00 82, +33673742699 | | `international_phone_number` | +33705188540, 0033787056466, +33307775791 | | `mobile_phone_number` | 06 42 96 22 59, 06 13 67 42 61, 0759841302 | | `phone_number` | 0430196208, 06 18 60 57 16, 0795494997 | ## FFaker::PhoneNumberID | Method | Example | | ------ | ------- | | `home_phone_number` | 0777-29140910, 0376-88164784, 0639-47593008 | | `international_home_phone_number` | +62924-51195420, +62295-27987564, +62967-50627241 | | `international_mobile_phone_number` | +62881-30810176, +62811-31264887, +62814-69942377 | | `international_phone_number` | +62822-26459961, +62423-4388950, +62816-02998754 | | `mobile_phone_number` | 0885-48670864, 0855-91265242, 0856-96946846 | | `phone_number` | 0897-41450019, 0853-21714150, 0878-62602454 | ## FFaker::PhoneNumberIT | Method | Example | | ------ | ------- | | `home_phone_number` | 00390734 717403, 00390585 82271415, +39 099 763603 | | `mobile_phone_number` | 0039339 013383, 0039325 49201804, +39 333981536 | | `number`(...) | | | `phone_number` | 00390463 410786, +39 0175 188447, +39 0722 56840682 | | `random_space` | , , | ## FFaker::PhoneNumberKR | Method | Example | | ------ | ------- | | `contry_code` | +82, +82, +82 | | `home_work_phone_number` | 053 6042 3696, 061 2254 6271, 053 9309 4024 | | `international_home_work_phone_number` | +82 63 0934 4610, +82 64 7694 7519, +82 54 6941 1141 | | `international_mobile_phone_number` | +82 10 6311 6086, +82 10 3917 8785, +82 19 1911 8779 | | `international_phone_number` | +82 44 6901 4468, +82 19 3771 0407, +82 52 5607 2753 | | `mobile_phone_number` | 010 7366 4075, 019 6261 0848, 019 6378 3448 | | `phone_number` | 062 7256 8079, 016 4615 3708, 011 8974 7802 | ## FFaker::PhoneNumberMX | Method | Example | | ------ | ------- | | `country_code` | +52, +52, +52 | | `home_work_phone_number` | 14 5882 1597, 98 9951 6892, 02 1635 8570 | | `international_home_work_phone_number` | +52 12 4560 5253, +52 52 2348 2505, +52 98 8671 7071 | | `international_mobile_phone_number` | +52 1 41 5720 1201, +52 1 36 9963 2242, +52 1 65 3582 1979 | | `international_phone_number` | +52 1 31 2593 0669, +52 02 6664 5522, +52 1 91 9620 9358 | | `mobile_phone_number` | 044 07 2277 5265, 044 90 3572 8377, 044 74 9370 7432 | | `phone_number` | 044 67 8465 1519, 58 0725 8568, 32 2450 8269 | | `toll_free_number` | 01 800 491 1194, 01 800 256 9241, 01 800 537 0043 | ## FFaker::PhoneNumberNL | Method | Example | | ------ | ------- | | `home_work_phone_number` | 0485-7515 25, 030-5765805, 0488-9308 09 | | `international_home_work_phone_number` | +31 20-8267778, +31 543-57 56 48, +31 23-979 5680 | | `international_mobile_phone_number` | +31 6 05 70 69 90, +31 606235284, +31 6 3784 5533 | | `international_phone_number` | +31 113-33 53 14, +31 223-23 09 14, +31 6 62 85 99 73 | | `mobile_phone_number` | 0641109252, 0602940935, 06 92 76 14 20 | | `phone_number` | 0578-4777 87, 06 17 29 51 63, 0314-6430 79 | ## FFaker::PhoneNumberSE | Method | Example | | ------ | ------- | | `area_prefix` | 63, 456, 456 | | `country_prefix` | +46, +46, +46 | | `home_work_phone_number` | 0951-704 57, 0660-31 14 42, 090-692 88 29 | | `international_home_work_phone_number` | +46 (0)645-266 91, +46 (0)457-73 09 28, +46 (0)302-944 29 | | `international_mobile_phone_number` | 0046 (0)728-02 22 90, 0046 (0)708-043489, 0046 (0)730-51 67 68 | | `international_phone_number` | +46 (0)768-617427, +46 (0)708-39 59 89, +46 (0)700-07 30 33 | | `mobile_phone_number` | 0742-70 67 72, 0763-73 88 58, 0769-096096 | | `mobile_phone_number_format` | 74#-## ## ##, 73#-## ## ##, 70#-## ## ## | | `mobile_prefix` | 76, 72, 70 | | `phone_number` | 0585-557 77, 0644-19 81 31, 0700-774059 | | `phone_number_format` | 584-### ##, 682-## ## ##, 143-## ## ## | ## FFaker::PhoneNumberSG | Method | Example | | ------ | ------- | | `country_code` | +65, +65, +65 | | `fixed_line_number` | 6953 5099, 6164 8532, 6031 1490 | | `international_toll_free_number` | 800 713 1960, 800 026 3485, 800 776 4527 | | `mobile_number` | 8184 8728, 8772 2131, 8765 2687 | | `mobile_or_pager_number` | 9684 1406, 9612 8724, 9464 0029 | | `phone_number` | 8844 0988, 8257 9923, 9908 2395 | | `premium_service_number` | 1900 211 8385, 1900 182 0732, 1900 912 8587 | | `toll_free_number` | 1800 776 0004, 1800 314 8280, 1800 437 8926 | | `voip_number` | 3038 3205, 3420 4702, 3231 4125 | ## FFaker::PhoneNumberSN | Method | Example | | ------ | ------- | | `homework_number` | 33-803-30-22, 33-983-07-61, 33-870-78-48 | | `homework_phone_prefix` | 33, 33, 33 | | `mobile_number` | 70-074-49-79, 76-461-44-29, 76-074-81-66 | | `mobile_phone_prefix` | 77, 70, 76 | | `phone_number` | 70-837-66-99, 33-904-28-48, 33-888-19-49 | | `short_phone_number` | 058-17-79, 000-96-86, 001-56-68 | ## FFaker::Product | Method | Example | | ------ | ------- | | `brand` | Trost, Aftersync, Brunefunc | | `letters`(...) | | | `model` | D53, W-8028, K46 | | `product` | Sobalt Gel Output Mount, Subsync Power Mount, Briont Output Tag Component | | `product_name` | Disc Power Viewer, Digital Filter, Direct Compressor | ## FFaker::SSN | Method | Example | | ------ | ------- | | `ssn` | 789-25-9312, 624-91-5873, 201-80-0808 | ## FFaker::SSNMX | Method | Example | | ------ | ------- | | `imss` | 4567950285-7, 4044327517-2, 6711958839-0 | | `imss_undashed` | 92870974066, 60906751986, 14837594296 | | `issste` | 6596941489-2, 9066895178-9, 2137420849-6 | | `issste_undashed` | 76584287860, 61592381186, 83643848945 | | `ssn` | 9701232435-5, 2861689510-7, 4167773892-1 | | `ssn_undashed` | 82988296973, 05314342061, 99657061799 | ## FFaker::SSNSE | Method | Example | | ------ | ------- | | `ssn` | 194712068445, 195504068154, 201412064325 | ## FFaker::Skill | Method | Example | | ------ | ------- | | `specialties` | Firmware Modularization, Modular Profiling, Firmware Testing, Database Profiling, Area Design, Firmware Methods, Firmware Development, Performance Design, Visual Management | | `specialty` | Web Management, Global Design, Template Research | | `tech_skill` | Java, JQuery, Perl | | `tech_skills` | JSON, Rails, CakePHP, TextMate, ASP, Backbone.JS, Mac, XHR, OSX | ## FFaker::Sport | Method | Example | | ------ | ------- | | `name` | Cycling Mountain Bike, Wakeboarding, Badminton | ## FFaker::String | Method | Example | | ------ | ------- | | `from_regexp`(...) | | ## FFaker::Time | Method | Example | | ------ | ------- | | `between`(..., ...) | | | `date` | 2016-10-30 00:00:00 +0900, 2018-04-29 00:00:00 +0900, 2014-12-11 00:00:00 +0900 | | `datetime` | 2014-09-07 12:37:00 +0900, 2016-07-18 06:58:00 +0900, 2016-03-19 09:33:00 +0900 | | `day_of_week` | Wed, Wed, Mon | | `month` | November, January, April | ## FFaker::Tweet | Method | Example | | ------ | ------- | | `body` | Est molestiae illo a voluptatum. In laborum sed accusantium neque quibusdam. Nisi molestiae laboriosam est unde mollitia quia. In maiores., Voluptatem laudantium id ex quis sunt. Porro totam velit molestiae vel ratione est. Quibusdam quas vel autem aut. Est enim vel molestiae., Esse autem quidem voluptatem praesentium ut debitis possimus. Sapiente et sunt architecto voluptatem vitae. Nam veniam qui sint ducimus. | | `mention` | @nakisha.boyer, @ula_veum, @ricarda | | `mentions` | @robyn_williamson @mireya, @helena @claudio, @carmelo_emard @helena | | `tags` | #clouds #me, #cool #followme, #cute #pretty | | `tweet` | @liza Molestias ab voluptas voluptas debitis sed repellat. Architecto eveniet saepe officiis maiores. Quis.#music #eyes #cat #clouds, Omnis ut enim quo porro quia consectetur voluptas. Aut quam doloribus excepturi nobis et in perspiciatis. Deleniti maxime vero., Aut ut modi eos aut. Nam id laudantium est quaerat. Velit facere delectus omnis rem minima. Illum aut sequi nihil et..#boy #art #girl #me | ## FFaker::UniqueUtils | Method | Example | | ------ | ------- | | `clear` | 0, 0, 0 | ## FFaker::Unit | Method | Example | | ------ | ------- | | `temperature_abbr` | C, F, K | | `temperature_name` | Fahrenheit, Fahrenheit, Kelvin | | `time_abbr` | msec, Minutes, s | | `time_name` | Milliseconds, Milliseconds, Seconds | ## FFaker::UnitEnglish | Method | Example | | ------ | ------- | | `area_abbr` | sq mi, sq ft, Twp | | `area_name` | square foot, acre, square yard | | `length_abbr` | ft, fur, fur | | `length_name` | yard, mile, yard | | `liquid_abbr` | fl oz, gi, gi | | `liquid_name` | quart, pint, pint | | `mass_abbr` | gr, lb, cwt | | `mass_name` | ounces, pounds, ton | | `temperature_abbr` | K, K, K | | `temperature_name` | Fahrenheit, Kelvin, Kelvin | | `time_abbr` | s, Minutes, msec | | `time_name` | Hours, Milliseconds, Hours | | `volume_abbr` | CY, CI, CY | | `volume_name` | cubic foot, cubic yard, cubic yard | ## FFaker::UnitMetric | Method | Example | | ------ | ------- | | `area_abbr` | km, km, m^2 | | `area_name` | kilometers, centimeters squared, centimeters squared | | `length_abbr` | cm, mm, cm | | `length_name` | meters, centimeters, kilometers | | `liquid_abbr` | ml, ml, ml | | `liquid_name` | milliliters, milliliters, liters | | `mass_abbr` | mt, kg, g | | `mass_name` | metric ton, gram, metric ton | | `temperature_abbr` | F, K, C | | `temperature_name` | Kelvin, Celsius, Kelvin | | `time_abbr` | d, msec, d | | `time_name` | Milliseconds, Seconds, Days | | `volume_abbr` | m^3, cm^3, cm^3 | | `volume_name` | cubic centimeters, cubic meters, cubic meters | ## FFaker::Vehicle | Method | Example | | ------ | ------- | | `base_color` | peachpuff, orange, gray | | `drivetrain` | 4WD, 4WD, FWD | | `engine_cylinders` | 5, 6, 8 | | `engine_displacement` | 1.0, 4.2, 5.8 | | `fuel_type` | Hydrogen Fuel Cell (FCV), Gas, Electric | | `interior_upholstery` | PVC, Vinyl, Nylon Fabric | | `make` | Saturn, Infiniti, Tesla | | `manufacturer_color` | pretty beautiful darkturquoise, bright dull magenta, mysterious slate navajowhite | | `mfg_color` | mundane pleasant mediumturquoise, mundane resonant gold, calm bright khaki | | `model` | Pacifica, Bronco, Lancer | | `transmission` | Automatic, Continuously Variable, Continuously Variable | | `transmission_abbr` | AT, MT, AT | | `trim` | SI, EX-L, SLT | | `vin` | 13VQZ02576D077013, 13SDV31526M557845, 12ORM57595Z264690 | | `year` | 1929, 1967, 1992 | ## FFaker::Venue | Method | Example | | ------ | ------- | | `name` | Palau de Congressos de Catalunya, World Trade Center Sevilla, Feria Internacional de Galicia | ## FFaker::Youtube | Method | Example | | ------ | ------- | | `embed_url` | www.youtube.com/embed/QcIy9NiNbmo, www.youtube.com/embed/fRh_vgS2dFE, www.youtube.com/embed/iS1g8G_njx8 | | `share_url` | youtu.be/fWNaR-rxAic, youtu.be/NUsoVlDFqZg, youtu.be/YqeW9_5kURI | | `url` | www.youtube.com/watch?v=9bZkp7q19f0, www.youtube.com/watch?v=9bZkp7q19f0, www.youtube.com/watch?v=AJtDXIazrMo | | `video_id` | QGJuMBdaqIw, _OBlgSz8sSM, gCYcHz2k5x0 | ffaker-2.8.1/test/0000755000004100000410000000000013233715167013777 5ustar www-datawww-dataffaker-2.8.1/test/test_name_gr.rb0000644000004100000410000000370413233715167016777 0ustar www-datawww-data# encoding: utf-8 require 'helper' class TestFakerNameGR < Test::Unit::TestCase include DeterministicHelper assert_methods_are_deterministic( FFaker::NameGR, :male_first_name, :male_last_name, :female_first_name, :female_last_name, :male_full_name, :female_full_name, :last_name, :first_name ) def setup @tester = FFaker::NameGR end def test_male_first_name assert_include @tester::MALE_FIRST_NAMES, @tester.male_first_name end def test_male_last_name assert_include @tester::MALE_LAST_NAMES, @tester.male_last_name end def test_female_first_name assert_include @tester::FEMALE_FIRST_NAMES, @tester.female_first_name end def test_female_last_name assert_include @tester::FEMALE_LAST_NAMES, @tester.female_last_name end def test_male_full_name names = @tester.male_full_name.split(' ') assert_include @tester::MALE_FIRST_NAMES, names[0] assert_include @tester::MALE_LAST_NAMES, names[1] end def test_female_full_name names = @tester.female_full_name.split(' ') assert_include @tester::FEMALE_FIRST_NAMES, names[0] assert_include @tester::FEMALE_LAST_NAMES, names[1] end # For random names def test_last_name all_names = @tester::MALE_LAST_NAMES + @tester::FEMALE_LAST_NAMES assert_include all_names, @tester.last_name end def test_first_name all_names = @tester::MALE_FIRST_NAMES + @tester::FEMALE_FIRST_NAMES assert_include all_names, @tester.first_name end def test_full_name_male names = @tester.full_name(:male).split(' ') assert_include @tester::MALE_FIRST_NAMES, names[0] assert_include @tester::MALE_LAST_NAMES, names[1] assert_deterministic { @tester.full_name(:male) } end def test_full_name_female names = @tester.full_name(:female).split(' ') assert_include @tester::FEMALE_FIRST_NAMES, names[0] assert_include @tester::FEMALE_LAST_NAMES, names[1] assert_deterministic { @tester.full_name(:female) } end end ffaker-2.8.1/test/test_products.rb0000644000004100000410000000103713233715167017227 0ustar www-datawww-data# encoding: utf-8 require 'helper' class TestProducts < Test::Unit::TestCase include DeterministicHelper assert_methods_are_deterministic( FFaker::Product, :brand, :product_name, :product, :model ) def test_letters_max_as_int assert_match(/\A[A-Z]{10}\z/, FFaker::Product.letters(10)) assert_deterministic { FFaker::Product.letters(10) } end def test_letters_max_as_range assert_match(/\A[A-Z]{5,10}\z/, FFaker::Product.letters(5..10)) assert_deterministic { FFaker::Product.letters(5..10) } end end ffaker-2.8.1/test/test_identification_es.rb0000644000004100000410000000051313233715167021042 0ustar www-datawww-data# encoding: utf-8 require 'helper' class TestFakerIdentificationES < Test::Unit::TestCase include DeterministicHelper assert_methods_are_deterministic(FFaker::IdentificationES, :gender) def setup @tester = FFaker::IdentificationES end def test_gender assert_match(/(Hombre|Mujer)/, @tester.gender) end end ffaker-2.8.1/test/test_html_ipsum.rb0000644000004100000410000000630413233715167017547 0ustar www-datawww-data# encoding: utf-8 require 'helper' class TestHTMLIpsum < Test::Unit::TestCase include DeterministicHelper assert_methods_are_deterministic( FFaker::HTMLIpsum, :a, :p, :dl, :ul_short, :ul_long, :ol_short, :ol_long, :ul_links, :table, :body, :fancy_string ) def setup @tester = FFaker::HTMLIpsum end def test_a assert_match(/^[ \w]+<\/a>$/i, FFaker::HTMLIpsum.a) end def test_p # We can't predict the number of times the sentence pattern will repeat # because the FFaker::Lorem methods that we are using adds a random # number on top of what we specify for the count argument. assert_match(/^

([ \w]+\.)+<\/p>$/i, FFaker::HTMLIpsum.p) end def test_p_breaks # Here we can at least test how many
tags there are. assert_match(/^

(?:[ \w\.]+
){2}[ \w\.]+<\/p>$/i, FFaker::HTMLIpsum.p(3, include_breaks: true)) end def test_p_fancy # We can't predict the number of times the sentence pattern will repeat # because the FFaker::Lorem methods that we are using adds a random # number on top of what we specify for the count argument. We also have to # account for the other HTML that is being returned. str = FFaker::HTMLIpsum.p(5, fancy: true) assert_match(/^

/, str) assert_match(/<\/p>$/, str) assert str.length > 6, 'string contains more than

' end def test_p_fancy_breaks # Here we can at least test how many
tags there are. We also have to # account for the other HTML that is being returned. str = FFaker::HTMLIpsum.p(10, fancy: true, include_breaks: true) assert_equal 10, str.split('
').length end def test_dl assert_match(/^
(
[ \w]+<\/dt>
[ \w.]+<\/dd>){3}<\/dl>$/i, FFaker::HTMLIpsum.dl(3)) end def test_ul_short assert_match(/^