Metadata-Version: 2.1
Name: hbc-random-number
Version: 0.2.0
Summary: Python Boilerplate contains all the boilerplate you need to create a Python package.
Home-page: https://github.com/sarthakvijayvergiya/hbc_random_number
Author: Sarthak Vijayvergiya
Author-email: sarthak@blueprintfinance.com
License: UNKNOWN
Keywords: hbc_random_number
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.9.13

ProvablyFairRandomNumberGenerator Library
=========================================



.. image:: https://pyup.io/repos/github/sarthakvijayvergiya/hbc_random_number/shield.svg
     :target: https://pyup.io/repos/github/sarthakvijayvergiya/hbc_random_number/
     :alt: Updates

The **ProvablyFairRandomNumberGenerator** is a Python library that provides a provably fair mechanism for generating random numbers. This library uses cryptographic techniques to ensure transparency and fairness in generating random numbers, making it suitable for applications where unbiased randomness is essential.

Features
--------

- Generates random numbers within a specified range using provably fair methods.
- Uses os specific randomness source.

Installation
------------

.. code-block:: bash

   pip install provablyfairrandomnumbergenerator

Usage
-----

.. code-block:: python

   from provablyfairrandomnumbergenerator import generate_random_number

   # Generate a random number within a range
   min_value = 1
   max_value = 100
   random_number = generate_random_number(min_value, max_value)

   print(f"Generated Random Number: {random_number}")

Dependencies
------------

- Python 3.x


Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


=======
History
=======

0.1.0 (2023-08-29)
------------------

* First release on PyPI.


