Locale si_LK

faker.providers.person

class faker.providers.person.si_LK.Provider(generator: Any)

Bases: Provider

first_name() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name()
...
'සමන්ති'
'ලූෂන්'
'රවිඳුනී'
'හිරුණි'
'සංජීව'

first_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female()
...
'නෙලූ'
'ස්වර්ණා'
'ප්\u200dරියා'
'ඉන්ද්\u200dරානි'
'තනුජිකා'

first_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'සජිත්'
'දර්ශන'
'ලසන්ත'
'සාගර'
'දුමින්ද'

first_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary()
...
'සමන්ති'
'ලූෂන්'
'රවිඳුනී'
'හිරුණි'
'සංජීව'

language_name() → str

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

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.language_name()
...
'Luba-Katanga'
'Malay'
'Aymara'
'Interlingue'
'Quechua'

last_name() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name()
...
'රත්නායක'
'ලියනගේ'
'අමරසිංහ'
'ප්\u200dරනාන්දු'
'සමරවීර'

last_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'රත්නායක'
'ලියනගේ'
'අමරසිංහ'
'ප්\u200dරනාන්දු'
'සමරවීර'

last_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'රත්නායක'
'ලියනගේ'
'අමරසිංහ'
'ප්\u200dරනාන්දු'
'සමරවීර'

last_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'රත්නායක'
'ලියනගේ'
'අමරසිංහ'
'ප්\u200dරනාන්දු'
'සමරවීර'

name() → str

Example:

‘John Doe’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'ස්වර්ණා ලියනගේ'
'චන්දන සමරවීර'
'ප්\u200dරමෝද්\u200dයා බණ්ඩාර'
'නිල්මිණි හෙට්ටිආරච්චි'
'නිමල් ගුණසේකර'

name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'ස්වර්ණා ලියනගේ'
'තනුජිකා සමරවීර'
'ප්\u200dරමෝද්\u200dයා බණ්ඩාර'
'නිල්මිණි හෙට්ටිආරච්චි'
'මැණිකේ ගුණසේකර'

name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'ලසන්ත ලියනගේ'
'චන්දන සමරවීර'
'දිල්හාර බණ්ඩාර'
'තිලක් හෙට්ටිආරච්චි'
'නිමල් ගුණසේකර'

name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'ස්වර්ණා ලියනගේ'
'චන්දන සමරවීර'
'ප්\u200dරමෝද්\u200dයා බණ්ඩාර'
'නිල්මිණි හෙට්ටිආරච්චි'
'නිමල් ගුණසේකර'

prefix() → str

Examples:

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

prefix_female() → str

Examples:

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

prefix_male() → str

Examples:

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

prefix_nonbinary() → str

Examples:

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

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