Locale lb_LU

faker2.providers.company

class faker2.providers.company.lb_LU.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()
...
'Gengler SICAV'
'Schneider S.e.n.c.'
'Krier S.C.S.'
'Kayser S.à r.l.'
'Meyer Becker S.à r.l.'

company_suffix() → str

Example:

‘Ltd’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company_suffix()
...
'SE'
'SICAV'
'S.A.'
'S.C.A.'
'S.e.n.c.'

faker2.providers.person

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

Bases: Provider

first_name() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name()
...
'Rob'
'Thierry'
'Henri'
'Edmond'
'Françoise'

first_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female()
...
'Astrid'
'Denise'
'Josée'
'Fabienne'
'Marceline'

first_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'Thomas'
'Albert'
'Raoul'
'Camil'
'Arsène'

first_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary()
...
'Rob'
'Thierry'
'Henri'
'Edmond'
'Françoise'

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()
...
'Steffen'
'Gengler'
'Theisen'
'Weber'
'Schneider'

last_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'Steffen'
'Gengler'
'Theisen'
'Weber'
'Schneider'

last_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'Steffen'
'Gengler'
'Theisen'
'Weber'
'Schneider'

last_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'Steffen'
'Gengler'
'Theisen'
'Weber'
'Schneider'

name() → str

Example:

‘John Doe’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'Denise Weber'
'Gregor Diederich-Schumacher'
'Malou Engel'
'Madame Denis Becker'
'Batty Gengler-Schmitz'

name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'Denise Weber'
'Marceline Schumacher'
'Malou Engel'
'Viviane Schiltz'
'Nathalie Meyer-Becker'

name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'Raoul Theisen'
'Victor Diederich'
'Antoine Kremer'
'Alphonse Wolff'
'Denis Becker'

name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'Denise Weber'
'Gregor Diederich-Schumacher'
'Malou Engel'
'Madame Denis Becker'
'Batty Gengler-Schmitz'

prefix() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix()
...
'Professer'
'Professer'
'Här'
'Dokter'
'Professer'

prefix_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_female()
...
'Professer'
'Professer'
'Här'
'Dokter'
'Professer'

prefix_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_male()
...
'Professer'
'Professer'
'Här'
'Dokter'
'Professer'

prefix_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_nonbinary()
...
'Professer'
'Professer'
'Här'
'Dokter'
'Professer'

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

faker2.providers.ssn

class faker2.providers.ssn.lb_LU.Provider(generator: Any)

Bases: Provider

A Faker provider for the Luxembourgish VAT IDs

ssn() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.ssn()
...
'604-87-6475'
'824-21-9489'
'411-57-8156'
'938-77-8408'
'160-97-5351'

vat_id() → str

http://ec.europa.eu/taxation_customs/vies/faq.html#item_11 :return: a random Luxembourgish VAT ID

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.vat_id()
...
'LU60487647'
'LU93824219'
'LU89241157'
'LU56593877'
'LU08016097'