Locale yue_HK

faker2.providers.company

class faker2.providers.company.yue_HK.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()
...
'溫盧有限公司'
'杜余投資有限公司'
'蘇蔡發展有限公司'
'杜控股有限公司'
'周溫集團有限公司'
company_suffix() str
Example:

‘Ltd’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company_suffix()
...
'金融有限公司'
'投資有限公司'
'工程有限公司'
'物流有限公司'
'投資有限公司'

faker2.providers.person

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

Bases: Provider

first_name() str
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name()
...
'嘉欣'
'慧珊'
'志偉'
'錦榮'
'穎詩'
first_name_female() str
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female()
...
'麗娟'
'淑貞'
'婉婷'
'芷晴'
'家怡'
first_name_male() str
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'展鵬'
'樂天'
'嘉豪'
'家軒'
'家寶'
first_name_nonbinary() str
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary()
...
'嘉欣'
'慧珊'
'志偉'
'錦榮'
'穎詩'
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()
...
'謝'
'溫'
'盧'
'李'
'胡'
last_name_female() str
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'謝'
'溫'
'盧'
'李'
'胡'
last_name_male() str
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'謝'
'溫'
'盧'
'李'
'胡'
last_name_nonbinary() str
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'謝'
'溫'
'盧'
'李'
'胡'
name() str
Example:

‘John Doe’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'溫淑貞'
'杜志豪'
'廖志強'
'蔡麗萍'
'徐家怡'
name_female() str
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'溫淑貞'
'杜詠珊'
'廖美儀'
'蔡麗萍'
'徐家怡'
name_male() str
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'溫樂天'
'杜志豪'
'廖志強'
'蔡文傑'
'徐家寶'
name_nonbinary() str
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'溫淑貞'
'杜志豪'
'廖志強'
'蔡麗萍'
'徐家怡'
prefix() str
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix()
...
'女士'
'女士'
'先生'
'太太'
'博士'
prefix_female() str
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_female()
...
'女士'
'女士'
'先生'
'太太'
'博士'
prefix_male() str
Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_male()
...
'女士'
'女士'
'先生'
'太太'
'博士'
prefix_nonbinary() str
Examples:

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