Locale as_IN

faker2.providers.company

class faker2.providers.company.as_IN.Provider(generator: Any)

Bases: Provider

Implement company provider for as_IN locale.

Assamese language, written in the Bengali-Assamese (Eastern Nagari) script. Company suffixes reflect common Indian corporate designations.

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()
...
'নেওগ আৰু দাস এণ্টাৰপ্ৰাইজ'
'পাটৰ আৰু সন্দিকৈ ট্ৰেডাৰ্ছ'
'তেৰাং-চেতিয়া এজেন্সী'
'মহন্ত গোট'
'বসুমতাৰী এণ্টাৰপ্ৰাইজ'

company_suffix() → str

Example:

‘Ltd’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.company_suffix()
...
'আৰু পুত্ৰসকল'
'আৰু পুত্ৰসকল'
'লিমিটেড'
'এণ্টাৰপ্ৰাইজ'
'এজেন্সী'

faker2.providers.person

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

Bases: Provider

Implement person provider for as_IN locale.

Assamese language, written in the Bengali-Assamese (Eastern Nagari) script. Names are authentic Assamese given names and surnames from Assam, India.

first_name() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name()
...
'নন্দিতা'
'প্ৰিয়াংকা'
'ৰঞ্জিত'
'লক্ষ্মীনাথ'
'মালবিকা'

first_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female()
...
'তৃষ্ণা'
'ৰিমা'
'ৰীতা'
'দীপালী'
'ৰিয়া'

first_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'হেমন্ত'
'মুকুট'
'বিকাশ'
'ধ্ৰুৱজ্যোতি'
'কুশল'

first_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary()
...
'নন্দিতা'
'প্ৰিয়াংকা'
'ৰঞ্জিত'
'লক্ষ্মীনাথ'
'মালবিকা'

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()
...
'খাউণ্ড'
'নেওগ'
'দাস'
'গোস্বামী'
'কাকতি'

last_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'খাউণ্ড'
'নেওগ'
'দাস'
'গোস্বামী'
'কাকতি'

last_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'খাউণ্ড'
'নেওগ'
'দাস'
'গোস্বামী'
'কাকতি'

last_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'খাউণ্ড'
'নেওগ'
'দাস'
'গোস্বামী'
'কাকতি'

name() → str

Example:

‘John Doe’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'ৰিমা দাস'
'ডাঃ বিশ্বজিৎ পাটৰ'
'ড০ তৰুণ তেৰাং'
'কুশল কলিতা'
'শ্ৰী ৰতুল বসুমতাৰী'

name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'ৰিমা দাস'
'ৰিয়া ঠাকুৰীয়া'
'কল্পনা মেধি'
'নমিতা চেতিয়া'
'কুমাৰী ৰশ্মি কলিতা'

name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'মুকুট দাস'
'কুশল ঠাকুৰীয়া'
'নীলিম মেধি'
'অংকুৰ চেতিয়া'
'শ্ৰী অভিজিৎ কলিতা'

name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'ৰিমা দাস'
'ডাঃ বিশ্বজিৎ পাটৰ'
'ড০ তৰুণ তেৰাং'
'কুশল কলিতা'
'শ্ৰী ৰতুল বসুমতাৰী'

prefix() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix()
...
'ড০'
'ড০'
'শ্ৰী'
'কুমাৰী'
'ডাঃ'

prefix_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_female()
...
'ডাঃ'
'ডাঃ'
'শ্ৰীমতী'
'ড০'
'ডাঃ'

prefix_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_male()
...
'ড০'
'ড০'
'শ্ৰী'
'ড০'
'ডাঃ'

prefix_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_nonbinary()
...
'ড০'
'ড০'
'শ্ৰী'
'কুমাৰী'
'ডাঃ'

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