Locale km_KH

faker2.providers.company

class faker2.providers.company.km_KH.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()
...
'កែវ-ហេង ចំកាត់'
'ក្រុមហ៊ុន ដួង'
'ក្រុមហ៊ុន ប៊ុន ថ្រេឌីង'
'ក្រុមហ៊ុន មាស ភីអិលស៊ី'
'ក្រុមហ៊ុន ខៀវ ចំកាត់'

company_suffix() → str

Example:

‘Ltd’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company_suffix()
...
'អ៊ិនធើណេសិនណល'
'អ៊ិនធើណេសិនណល'
'ខូអិលធីឌី'
'ចំកាត់'
'ថ្រេឌីង'

faker2.providers.person

class faker2.providers.person.km_KH.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()
...
'ស្រីនាថ'
'រតនា'
'ស្រីមុំ'
'ដានី'
'សុវណ្ណី'

first_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'ម៉េងលី'
'ប៊ុនធឿន'
'ចន្ទ្រា'
'ពុទ្ធី'
'ចរិយាវុធ'

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()
...
'ឈួន'
'កែវ'
'ហេង'
'គឹម'
'ភី'

last_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'ឈួន'
'កែវ'
'ហេង'
'គឹម'
'ភី'

last_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'ឈួន'
'កែវ'
'ហេង'
'គឹម'
'ភី'

last_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'ឈួន'
'កែវ'
'ហេង'
'គឹម'
'ភី'

name() → str

Example:

‘John Doe’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'កែវ ស្រីមុំ'
'ភី ចរិយាវុធ'
'ប៊ុន ណារិនរិទ្ធ'
'មាស សុវិទ្យា'
'ខៀវ វិសុទ្ធ'

name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'កែវ ស្រីមុំ'
'ភី ចាន់ធី'
'ប៊ុន ភក្ត្រា'
'មាស សុវណ្ណី'
'យ៉ង វិមាន'

name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'កែវ ចន្ទ្រា'
'ភី ចរិយាវុធ'
'ប៊ុន ណារិនរិទ្ធ'
'មាស សុវិទ្យា'
'ខៀវ វិសុទ្ធ'

name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'កែវ ស្រីមុំ'
'ភី ចរិយាវុធ'
'ប៊ុន ណារិនរិទ្ធ'
'មាស សុវិទ្យា'
'ខៀវ វិសុទ្ធ'

prefix() → str

Examples:

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

prefix_female() → str

Examples:

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

prefix_male() → str

Examples:

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

prefix_nonbinary() → str

Examples:

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

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