Well, you can get the FuzzyText objects value by calling like this:
>> f = factory.fuzzy.FuzzyText(length=15)
>> f.fuzz()
But, in this text, the characters can be both uppercase or lower case. So if you want exclusive lower case characters, then you can override the FuzzyText like this:
from factory.fuzzy import FuzzyText
class CustomFuzzyText(FuzzyText):
def fuzz(self, *args, **kwargs):
return super(CustomFuzzyText, self).fuzz(*args, **kwargs).lower()
and use it in the factory like this:
underscore_15 = CustomFuzzyText(prefix="aa_", length=12) # or CustomFuzzyText(length=15)
Answer from ruddra on Stack OverflowFaker
faker.readthedocs.io › en › master › providers › faker.providers.python.html
faker.providers.python — Faker 40.11.1 documentation
pystr_format(string_format: str = '?#-###{{random_int}}{{random_letter}}', letters: str = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ') → str¶ ... >>> Faker.seed(0) >>> for _ in range(5): ... fake.pystr_format() ...
Faker
faker.readthedocs.io › en › master › providers › baseprovider.html
faker.providers. - BaseProvider - Faker's documentation!
Generate a string with each question mark (‘?’) in text replaced with a random character from letters. By default, letters contains all ASCII letters, uppercase and lowercase. ... >>> Faker.seed(0) >>> for _ in range(5): ... fake.lexify(text='Random Identifier: ??????????') ...
Blue Book
lyz-code.github.io › blue-book › coding › python › faker
Faker - The Blue Book
from random import SystemRandom @pytest.fixture(scope="session", autouse=True) def faker_seed() -> int: """Create a random seed for the Faker library.""" return SystemRandom().randint(0, 999999)
Readthedocs
maleficefakertest.readthedocs.io › en › latest › providers › faker.providers.python.html
faker.providers.python — Faker 4.5.0 documentation
Generates a random string of upper and lowercase letters. :type min_chars: int :type max_chars: int :return: String. Random of random length between min and max characters. >>> Faker.seed(0) >>> for _ in range(5): ... fake.pystr() ...
Faker
faker.readthedocs.io › en › master › providers › faker.providers.misc.html
faker.providers.misc — Faker 40.11.0 documentation
Generate a random MD5 hash. If raw_output is False (default), a hexadecimal string representation of the MD5 hash will be returned. If True, a bytes object representation will be returned instead. ... >>> Faker.seed(0) >>> for _ in range(5): ... fake.md5(raw_output=False) ...
GitHub
github.com › joke2k › faker
GitHub - joke2k/faker: Faker is a Python package that generates fake data for you. · GitHub
By default all generators share the same instance of random.Random, which can be accessed with from faker.generator import random.
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Towards Data Science
towardsdatascience.com › home › latest › fake (almost) everything with faker
Fake (almost) everything with Faker | Towards Data Science
January 19, 2025 - This is the output of a simple Python script that I wrote to generate fake customer data, or fake people. Looking at this, it’s amazing how realistic it looks. And the code I used to get this output is the following: ... print("My name is %s %s %s , I'm a gender neutral person. You can call me at %s, or email me at %s, or visit my home at %s" % (faker.prefix_nonbinary(), faker.name_nonbinary(), faker.suffix_nonbinary(), faker.phone_number(), faker.ascii_free_email(), faker.address())
ZetCode
zetcode.com › python › faker
Python Faker - generating fake data in Python with Faker module
In this article we show how to generate fake data in Python with Faker package.
PyPI
pypi.org › project › Faker
Faker · PyPI
By default all generators share the same instance of random.Random, which can be accessed with from faker.generator import random.
» pip install Faker
GitHub
github.com › joke2k › faker › blob › master › faker › providers › __init__.py
faker/faker/providers/__init__.py at master · joke2k/faker
- At symbols ('@') are replaced with a random non-zero digit or an empty string. · Under the hood, this method uses :meth:`random_digit() <faker.providers.BaseProvider.random_digit>`, :meth:`random_digit_not_null() ...
Author joke2k
Faker
faker.readthedocs.io › en › master › providers › faker.providers.lorem.html
faker.providers.lorem — Faker 40.11.1 documentation
The nb_words argument controls how many words the sentence will contain, and setting variable_nb_words to False will generate the exact amount, while setting it to True (default) will generate a random amount (+/-40%, minimum of 1) using randomize_nb_elements(). Under the hood, words() is used ...
Linux Hint
linuxhint.com › python-faker-generate-dummy-data
How to Use Python Faker to Generate Dummy Data – Linux Hint
Create a Python file with the following ... random_number(digit=5) function will generate a random number of 5 digits. The random_int(50, 150) function will generate a random number between 50 to 150. #Import faker ......
Faker
faker.readthedocs.io › en › stable › providers › faker.providers.python.html
faker.providers.python — Faker 40.4.0 documentation
pystr_format(string_format: str = '?#-###{{random_int}}{{random_letter}}', letters: str = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ') → str¶ ... >>> Faker.seed(0) >>> for _ in range(5): ... fake.pystr_format() ...
Faker
faker.readthedocs.io
Welcome to Faker’s documentation! — Faker 40.11.1 documentation
By default all generators share the same instance of random.Random, which can be accessed with from faker.generator import random.