Locale tk_TM

faker2.providers.company

class faker2.providers.company.tk_TM.Provider(generator: Any)

Bases: Provider

bs() → str

Example:

‘integrate extensible convergence’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.bs()
...
'iterate integrated e-markets'
'integrate back-end mindshare'
'synthesize wireless content'
'syndicate synergistic applications'
'productize killer mindshare'

catch_phrase() → str

Example:

‘Robust full-range hub’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.catch_phrase()
...
'Networked well-modulated instruction set'
'Balanced empowering migration'
'Pre-emptive impactful toolset'
'Innovative mission-critical help-desk'
'Reduced didactic middleware'

company() → str

Example:

‘Acme Ltd’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company()
...
'Rozyýew Gurbanow APJ'
'Muhammedow Aşyrow ÝGPJ'
'Guwançow Kakabaýew HK'
'Gylyjow PJ'
'Nurmuhammedow Söwda Öýi'

company_suffix() → str

Example:

‘Ltd’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company_suffix()
...
'Söwda Öýi'
'ÝGPJ'
'Söwda Öýi'
'ÝGPJ'
'HJ'

faker2.providers.person

class faker2.providers.person.tk_TM.Provider(generator: Any)

Bases: Provider

first_name() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name()
...
'Myratgeldi'
'Ödemyrat'
'Kakageldi'
'Didar'
'Güljemal'

first_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female()
...
'Jennet'
'Gülälek'
'Aýsoltan'
'Ogulnabat'
'Şasenem'

first_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'Penamyrat'
'Yazgeldi'
'Myratberdi'
'Sähet'
'Amandurdy'

first_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary()
...
'Myratgeldi'
'Ödemyrat'
'Kakageldi'
'Didar'
'Güljemal'

language_name() → str

Generate a random i18n language name (e.g. English).

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.language_name()
...
'Lithuanian'
'Marathi'
'Aymara'
'Indonesian'
'Portuguese'

last_name() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name()
...
'Yazmyradow'
'Rozyýew'
'Gurbanow'
'Nuryýew'
'Begençow'

last_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'Yazmyradow'
'Rozyýew'
'Gurbanow'
'Nuryýew'
'Begençow'

last_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'Yazmyradow'
'Rozyýew'
'Gurbanow'
'Nuryýew'
'Begençow'

last_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'Yazmyradow'
'Rozyýew'
'Gurbanow'
'Nuryýew'
'Begençow'

name() → str

Example:

‘John Doe’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'Gülälek Rozyýew'
'Allaberdi Begençow'
'Mähri Aşyrow'
'Aýjemal Guwançow'
'Begençow Çary'

name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'Rozyýew Ogulnabat'
'Begençow Enegül'
'Aşyrow Gülnar'
'Guwançow Ogulgerek'
'Dr. Gülşat Sapargeldiýew'

name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'Rozyýew Gurban'
'Begençow Berdimuhammet'
'Aşyrow Tañryguly'
'Öwezow Gulmyrat'
'Bäşim Sapargeldiýew'

name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'Gülälek Rozyýew'
'Allaberdi Begençow'
'Mähri Aşyrow'
'Aýjemal Guwançow'
'Begençow Çary'

prefix() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix()
...
'Prof.'
'Prof.'
'Jenap'
'Hanym'
'Mugallym'

prefix_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_female()
...
'Mugallym'
'Mugallym'
'Hanym'
'Prof.'
'Mugallym'

prefix_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_male()
...
'Mugallym'
'Mugallym'
'Jenap'
'Prof.'
'Mugallym'

prefix_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_nonbinary()
...
'Prof.'
'Prof.'
'Jenap'
'Hanym'
'Mugallym'

suffix() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix()
...
''
''
''
''
''

suffix_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_female()
...
''
''
''
''
''

suffix_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_male()
...
''
''
''
''
''

suffix_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_nonbinary()
...
''
''
''
''
''