Locale ms_MY

faker2.providers.company

class faker2.providers.company.ms_MY.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()
...
'Syarikat Sarip Trading'
'Abdul Rahman Holdings'
'Syarikat Fauzi Group'
'Jalil Holdings Enterprise'
'Johari Musa Enterprise'

company_suffix() → str

Example:

‘Ltd’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company_suffix()
...
'Group'
'Trading'
'Group'
'Trading'
'Sdn Bhd'

faker2.providers.person

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

Bases: Provider

first_name() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name()
...
'Norazlina'
'Nizam'
'Husna'
'Rania'
'Rizwan'

first_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female()
...
'Sofia'
'Delisha'
'Rania'
'Syazana'
'Elysha'

first_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'Nizam'
'Rizwan'
'Firdaus'
'Darwish'
'Zahid'

first_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary()
...
'Norazlina'
'Nizam'
'Husna'
'Rania'
'Rizwan'

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()
...
'Uda'
'Embong'
'Sarip'
'Yahaya'
'Ghani'

last_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'Uda'
'Embong'
'Sarip'
'Yahaya'
'Ghani'

last_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'Uda'
'Embong'
'Sarip'
'Yahaya'
'Ghani'

last_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'Uda'
'Embong'
'Sarip'
'Yahaya'
'Ghani'

name() → str

Example:

‘John Doe’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'Rania Yahaya'
'Aini Abdul Rahman'
'Puan Sri Widad binti Shafie'
'Haslinda binti Luqman'
'Tan Sri Syazwan bin Amran'

name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'Puan Sri Aini binti Abdul Rahman'
'Puan Sri Widad binti Shafie'
'Haslinda Che Wan'
'Husna binti Musa'
'Najwa Sani'

name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'Datuk Firdaus bin Abdul Rahman'
'Datuk Hairi bin Jalil'
'Ashraf Johari'
'Fauzi bin Musa'
'Danial bin Wan Ahmad'

name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'Rania Yahaya'
'Aini Abdul Rahman'
'Puan Sri Widad binti Shafie'
'Haslinda binti Luqman'
'Tan Sri Syazwan bin Amran'

prefix() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix()
...
'Puan'
'Puan'
'Encik'
'Tan Sri'
'Datin'

prefix_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_female()
...
'Puan Sri'
'Puan Sri'
'Puan'
'Datin'
'Dr.'

prefix_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_male()
...
'Datuk'
'Datuk'
'Encik'
"Dato'"
'Tan Sri'

prefix_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_nonbinary()
...
'Puan'
'Puan'
'Encik'
'Tan Sri'
'Datin'

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