Locale si_LK

faker2.providers.company

class faker2.providers.company.si_LK.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()
...
'අමරසේකර ප්\u200dරනාන්දු ග්\u200dරෝ\u200dප්'
'නානායක්කාර තෙන්නකෝන් සහ පුත්\u200dරයෝ'
'සුරවීර සහ ගුණසේකර එන්ටර්ප්\u200dරයිසස්'
'සමරසිංහ සමාගම'
'වීරසේකර ග්\u200dරෝ\u200dප්'

company_suffix() → str

Example:

‘Ltd’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company_suffix()
...
'ඉන්ටර්නැෂනල්'
'ඉන්ටර්නැෂනල්'
'පෞද්ගලික සමාගම'
'ග්\u200dරෝ\u200dප්'
'එන්ටර්ප්\u200dරයිසස්'

faker2.providers.person

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

Bases: Provider

first_name() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name()
...
'Jane'
'Jane'
'John'
'Jane'
'Jane'

first_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female()
...
'තරංගා'
'වත්සලා'
'නිලූකා'
'කුසුම්'
'චතුරිකා'

first_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'පසන්'
'දුලාන්'
'උමේෂ්'
'අනුරුද්ධ'
'දිල්ශාන්'

first_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary()
...
'Jane'
'Jane'
'John'
'Jane'
'Jane'

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()
...
'මාරසිංහ'
'අමරසේකර'
'ප්\u200dරනාන්දු'
'පතිරණ'
'හේරත්'

last_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'මාරසිංහ'
'අමරසේකර'
'ප්\u200dරනාන්දු'
'පතිරණ'
'හේරත්'

last_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'මාරසිංහ'
'අමරසේකර'
'ප්\u200dරනාන්දු'
'පතිරණ'
'හේරත්'

last_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'මාරසිංහ'
'අමරසේකර'
'ප්\u200dරනාන්දු'
'පතිරණ'
'හේරත්'

name() → str

Example:

‘John Doe’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'වත්සලා ප්\u200dරනාන්දු'
'මහාචාර්ය අකිල නානායක්කාර'
'ආචාර්ය බුද්ධික සුරවීර'
'චරිත රාජපක්ෂ'
'මහත්මිය තිලක්ෂණ දිසානායක'

name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'වත්සලා ප්\u200dරනාන්දු'
'චතුරිකා ගමගේ'
'නදීකා එදිරිසිංහ'
'ඉනෝකා ගුණසේකර'
'මහත්මිය මධුෂා රාජපක්ෂ'

name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'උමේෂ් අමරසේකර'
'තුෂාර හේරත්'
'ප්\u200dරභාත් තෙන්නකෝන්'
'බුද්ධික සුරවීර'
'චරිත රාජපක්ෂ'

name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'වත්සලා ප්\u200dරනාන්දු'
'මහාචාර්ය අකිල නානායක්කාර'
'ආචාර්ය බුද්ධික සුරවීර'
'චරිත රාජපක්ෂ'
'මහත්මිය තිලක්ෂණ දිසානායක'

prefix() → str

Examples:

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

prefix_female() → str

Examples:

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

prefix_male() → str

Examples:

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

prefix_nonbinary() → str

Examples:

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

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