Locale fo_FO

faker2.providers.company

class faker2.providers.company.fo_FO.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()
...
'Samuelsen Jacobsen Sp/f'
'Egholm-Christiansen Bygging'
'Michelsen Justinussen P/F'
'Rasmussen-Dam Handil'
'Zachariassen Sp/f'

company_sector()

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company_sector()
...
'Íðnaður'
'Íðnaður'
'Tøkni'
'Bygging'
'Bólkur'

company_suffix() → str

Example:

‘Ltd’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company_suffix()
...
'Sp/f'
'Sp/f'
'P/F'
'Sp/f'
'Sp/f'

faker2.providers.person

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

Bases: Provider

first_name() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name()
...
'Lisbeth'
'Páll'
'Guðny'
'Rósa'
'Sven'

first_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female()
...
'Selma'
'Andrea'
'Margit'
'Sonja'
'Ása'

first_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'Teitur'
'Árni'
'Osvald'
'Uni'
'Beinir'

first_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary()
...
'Lisbeth'
'Páll'
'Guðny'
'Rósa'
'Sven'

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()
...
'Frederiksen'
'Samuelsen'
'Jacobsen'
'Højgaard'
'Fossá'

last_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'Frederiksen'
'Samuelsen'
'Jacobsen'
'Højgaard'
'Fossá'

last_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'Frederiksen'
'Samuelsen'
'Jacobsen'
'Højgaard'
'Fossá'

last_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'Frederiksen'
'Samuelsen'
'Jacobsen'
'Højgaard'
'Fossá'

name() → str

Example:

‘John Doe’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'Margit Samuelsen'
'Egil Fossá'
'Annlís á Rógvi'
'Rebekka Justinussen'
'Esbern Rasmussen'

name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'Margit Samuelsen'
'Dagny Fossá'
'Annlís á Rógvi'
'Rebekka Justinussen'
'Dorit Rasmussen'

name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'Osvald Samuelsen'
'Egil Fossá'
'Alvur á Rógvi'
'Hedin Justinussen'
'Esbern Rasmussen'

name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'Margit Samuelsen'
'Egil Fossá'
'Annlís á Rógvi'
'Rebekka Justinussen'
'Esbern Rasmussen'

prefix() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix()
...
'Frøkun'
'Frøkun'
'Harra'
'Frúa'
'Dr.'

prefix_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_female()
...
'Frøkun'
'Frøkun'
'Frúa'
'Frøkun'
'Dr.'

prefix_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_male()
...
'Dr.'
'Dr.'
'Harra'
'Dr.'
'Dr.'

prefix_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_nonbinary()
...
'Frøkun'
'Frøkun'
'Harra'
'Frúa'
'Dr.'

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()
...
''
''
''
''
''