A fake data generator (a faker) for Python, extended with Rust. The reason for this library is performance. When you're generating large amounts of fake data, this library will serve you well.
This module contains bindings to fake-rs,
from pyfakers import Name
print(Name.first_name())
print(Name.last_name())Install from pypi:
pip install pyfakers
Install libffi, python3 headers, setuptools and wheel. The following command will install these on Ubuntu
apt-get install libffi-dev python3-dev python3-setuptools python3-wheel
Check out the repository
git clone [email protected]/pyfakers.git
cd pyfakers
In order to compile the Rust code, you'll need to have Rust nightly toolchain installed and enabled.
Use rustup to set this up, find installation instructions for rustup at https://www.rustup.rs/
To use Rust nightly, run the following commands (from the project root)
rustup update nightly
rustup override add nightly
Install the pipenv utility from pypi
pip install pipenv
Install dependencies (from the project root)
pipenv install
Launch a virtual environment (from the project root)
pipenv shell
Now you can build the package
python3 setup.py bdist_wheel
Install the wheel
pip install dist/<wheel file name>
from pyfakers import Name, Internet, Company, Address, PhoneNumber
print(Name.first_name())
print(Name.last_name())
print(Name.full_name())
print(Name.title_descriptor())
print(Name.title_level())
print(Name.title_job())
print(Name.title())
print(Internet.free_email_provider())
print(Internet.domain_suffix())
print(Internet.user_name())
print(Internet.free_email())
print(Internet.safe_email())
print(Company.suffix())
print(Company.name())
print(Company.buzzword())
print(Company.catch_phrase())
print(Company.bs())
print(Company.profession())
print(Company.industry())
print(Address.time_zone())
print(Address.city_prefix())
print(Address.city_suffix())
print(Address.street_suffix())
print(Address.state())
print(Address.state_abbr())
print(Address.city())
print(Address.street_name())
print(Address.building_number())
print(Address.street_address())
print(Address.secondary_address())
print(Address.postal_code())
print(Address.latitude())
print(Address.longitude())
print(PhoneNumber.phone_number())
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