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A forged data generator for Python 2 and 3 updated to reflect current state of the original Ruby forgery gem
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pilosus/ForgeryPy3
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ForgeryPy3 is a fake data generator fully compatible with Python 2 and 3.
ForgeryPy3 solves the problem ofgenerating simple, random, yetmeaningful data for testing and development.
ForgeryPy3 is a fork of Tomek Wójcik'sForgeryPy project, which is,in turn, based on the Rubyforgery gem.
ForgeryPy3 takes up where ForgeryPy left off, reflecting the currentstate of the originalforgery package, carefully following itsAPI.
Basic usage is easy and straightforward. Fire up your Python REPL andtry:
>>> import forgery_py>>> forgery_py.address.street_address()'4358 Shopko Junction'>>> forgery_py.basic.hex_color()'3F0A59'>>> forgery_py.credit_card.type()'Visa>>> forgery_py.currency.description()'Slovenia Tolars'>>> forgery_py.date.date()datetime.date(2012, 7, 27)>>> forgery_py.email.address()'debra@tavu.edu>>> forgery_py.internet.ip_v4()'150.64.188.100''>>> forgery_py.lorem_ipsum.title()'Pretium nam rhoncus ultrices!'>>> forgery_py.monetary.money()'$4.50'>>> forgery_py.name.full_name()'Mary Peters'>>> forgery_py.personal.language()'Hungarian'>>> forgery_py.russian_tax.person_inn()'768974545606'>>> forgery_py.time.zone()'Melbourne'
You can find further information in the project'sdocumentation.
| Method | Example Output |
|---|---|
| forgery_py.address.city() | 'Larkspur' |
| forgery_py.address.continent() | 'North America' |
| forgery_py.address.country() | 'Belgium' |
| forgery_py.address.phone() | '5-(721)114-0241' |
| forgery_py.address.state() | 'Kansas' |
| forgery_py.address.state_abbrev() | 'LA' |
| forgery_py.address.street_address() | '4 Eastlawn Junction |
| forgery_py.address.street_name() | 'Dexter' |
| forgery_py.address.street_number() | '1' |
| forgery_py.address.street_suffix() | 'Park' |
| forgery_py.address.zip_code() | '65843-3832' |
| forgery_py.basic.hex_color() | '6D1F5B' |
| forgery_py.basic.hex_color_short() | '05C' |
| forgery_py.basic.text() | 'ncvgIY0pGKGHv' |
| forgery_py.basic.boolean() | True |
| forgery_py.basic.color() | 'Red' |
| forgery_py.basic.encrypt() | 'fc0d835dd4e4df144a33a6a346298b0f23dcd14a' |
| forgery_py.basic.frequency() | 'Never' |
| forgery_py.basic.number() | 5 |
| forgery_py.basic.password() | 'KcLBHCv6' |
| forgery_py.credit_card.check_digit(num) | 5 |
| forgery_py.credit_card.number() | 343682330855371 |
| forgery_py.credit_card.type() | 'American Express' |
| forgery_py.currency.code() | 'CHF' |
| forgery_py.currency.description() | 'Canada Dollars' |
| forgery_py.date.date() | datetime.date(2016, 11, 8) |
| forgery_py.date.datetime() | datetime.datetime(2016, 11, 27, 22, 29, 31, 45877) |
| forgery_py.date.day() | 4 |
| forgery_py.date.day_of_week() | 'Thursday' |
| forgery_py.date.month() | 'September' |
| forgery_py.date.year() | 2021 |
| forgery_py.email.address() | 'gsmith@kamba.org' |
| forgery_py.email.body() | 'Lorem ipsum dolor sit amet, ...' |
| forgery_py.email.subject() | 'Lorem Ipsum Dolor Sit Amet...' |
| forgery_py.geo.latitude() | -8.095096815540515 |
| forgery_py.geo.latitude_degrees() | -49 |
| forgery_py.geo.latitude_direction() | 'N' |
| forgery_py.geo.latitude_minutes() | 14 |
| forgery_py.geo.latitude_seconds() | 45 |
| forgery_py.geo.longitude() | -22.56746406884514 |
| forgery_py.geo.longitude_degrees() | 100 |
| forgery_py.geo.longitude_direction() | 'W' |
| forgery_py.geo.longitude_minutes() | 47 |
| forgery_py.geo.longitude_seconds() | 41 |
| forgery_py.internet.cctld() | 'om' |
| forgery_py.internet.domain_name() | 'edgepulse.name' |
| forgery_py.internet.email_address() | 'lillian@flashpoint.biz' |
| forgery_py.internet.email_subject() | 'Lorem Ipsum Dolor Sit Amet...' |
| forgery_py.internet.ip_v4() | '96.36.71.94' |
| forgery_py.internet.top_level_domain() | 'gov' |
| forgery_py.internet.user_name() | 'earl' |
| forgery_py.lorem_ipsum.paragraph() | 'In hac habitasse platea dictumst...' |
| forgery_py.lorem_ipsum.paragraphs() | 'Nam nulla. Phasellus sit amet erat.' |
| forgery_py.lorem_ipsum.sentence() | 'Quisque porta volutpat erat.' |
| forgery_py.lorem_ipsum.sentences() | 'Duis consequat... Integer non velit...' |
| forgery_py.lorem_ipsum.title() | 'Vestibulum proin tristique lobortis!' |
| forgery_py.lorem_ipsum.word() | 'maecenas' |
| forgery_py.lorem_ipsum.words() | 'platea cubilia pede et ultrices congue' |
| forgery_py.lorem_ipsum.character() | 'l' |
| forgery_py.lorem_ipsum.characters() | 'lorem ipsu' |
| forgery_py.lorem_ipsum.lorem_ipsum_characters() | 'lorem ipsum dolor sit amet...' |
| forgery_py.lorem_ipsum.lorem_ipsum_words() | ["lorem", "ipsum", "dolor", ...] |
| forgery_py.lorem_ipsum.text() | 'Lorem ipsum dolor sit amet...' |
| forgery_py.monetary.formatted_money() | '$5.49' |
| forgery_py.monetary.money() | '9.20' |
| forgery_py.name.company_name() | 'Dabtype' |
| forgery_py.name.female_first_name() | 'Katherine' |
| forgery_py.name.first_name() | 'Jose' |
| forgery_py.name.full_name() | 'James Williamson' |
| forgery_py.name.industry() | 'Machine Tools & Accessories' |
| forgery_py.name.job_title() | 'Operator' |
| forgery_py.name.job_title_suffix() | 'I' |
| forgery_py.name.last_name() | 'Henry' |
| forgery_py.name.location() | 'Kwik-E-Mart' |
| forgery_py.name.male_first_name() | 'Cheryl' |
| forgery_py.name.suffix() | 'IV' |
| forgery_py.name.title() | 'Ms' |
| forgery_py.personal.abbreviated_gender() | 'F' |
| forgery_py.personal.gender() | 'Male' |
| forgery_py.personal.language() | 'Tsonga' |
| forgery_py.personal.race() | 'Sri Lankan' |
| forgery_py.personal.shirt_size() | 'XS' |
| forgery_py.time.zone() | 'Amsterdam' |
| forgery_py.russian_tax.account_number() | 56335652786612121479 |
| forgery_py.russian_tax.bik() | 046533860 |
| forgery_py.russian_tax.inn() | 7366543467 |
| forgery_py.russian_tax.legal_inn() | 7822838630 |
| forgery_py.russian_tax.legal_ogrn() | 3483465598635 |
| forgery_py.russian_tax.ogrn() | 666325227817763 |
| forgery_py.russian_tax.person_inn() | 451559765443 |
| forgery_py.russian_tax.person_ogrn() | 195478617554621 |
The project is based onForgeryPy package by Tomek Wójcik.
ForgeryPy, in its turn, gets use of dictionaries from the originalRubyforgery gem.
The project is licensed under MIT License. For further information seeLINCENSE.
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A forged data generator for Python 2 and 3 updated to reflect current state of the original Ruby forgery gem
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