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.
Raw data
{
"_id": null,
"home_page": "https://github.com/sarthakvijayvergiya/hbc_random_number",
"name": "hbc-random-number",
"maintainer": "",
"docs_url": null,
"requires_python": ">=3.9.13",
"maintainer_email": "",
"keywords": "hbc_random_number",
"author": "Sarthak Vijayvergiya",
"author_email": "sarthak@blueprintfinance.com",
"download_url": "https://files.pythonhosted.org/packages/6d/9a/6a25d447692fbe3bca5e2a7e7379f88a19ccc6257e5694637d6d511e7691/hbc_random_number-0.2.0.tar.gz",
"platform": null,
"description": "ProvablyFairRandomNumberGenerator Library\n=========================================\n\n\n\n.. image:: https://pyup.io/repos/github/sarthakvijayvergiya/hbc_random_number/shield.svg\n :target: https://pyup.io/repos/github/sarthakvijayvergiya/hbc_random_number/\n :alt: Updates\n\nThe **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.\n\nFeatures\n--------\n\n- Generates random numbers within a specified range using provably fair methods.\n- Uses os specific randomness source.\n\nInstallation\n------------\n\n.. code-block:: bash\n\n pip install provablyfairrandomnumbergenerator\n\nUsage\n-----\n\n.. code-block:: python\n\n from provablyfairrandomnumbergenerator import generate_random_number\n\n # Generate a random number within a range\n min_value = 1\n max_value = 100\n random_number = generate_random_number(min_value, max_value)\n\n print(f\"Generated Random Number: {random_number}\")\n\nDependencies\n------------\n\n- Python 3.x\n\n\nCredits\n-------\n\nThis package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.\n\n.. _Cookiecutter: https://github.com/audreyr/cookiecutter\n.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage\n\n\n=======\nHistory\n=======\n\n0.1.0 (2023-08-29)\n------------------\n\n* First release on PyPI.\n\n\n",
"bugtrack_url": null,
"license": "",
"summary": "Python Boilerplate contains all the boilerplate you need to create a Python package.",
"version": "0.2.0",
"project_urls": {
"Homepage": "https://github.com/sarthakvijayvergiya/hbc_random_number"
},
"split_keywords": [
"hbc_random_number"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "7eeef2b285624f10a4f43f55bb94d4be53a8ebf7bcee188b573e9a91adea4819",
"md5": "48e35f6cb55354ca33abf629270ac2b2",
"sha256": "cae7a93b8d89e925600f7a4ce586b2ecfc923fd983400b79405060fa0b805a56"
},
"downloads": -1,
"filename": "hbc_random_number-0.2.0-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "48e35f6cb55354ca33abf629270ac2b2",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": ">=3.9.13",
"size": 3055,
"upload_time": "2023-09-07T19:19:40",
"upload_time_iso_8601": "2023-09-07T19:19:40.346922Z",
"url": "https://files.pythonhosted.org/packages/7e/ee/f2b285624f10a4f43f55bb94d4be53a8ebf7bcee188b573e9a91adea4819/hbc_random_number-0.2.0-py2.py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "6d9a6a25d447692fbe3bca5e2a7e7379f88a19ccc6257e5694637d6d511e7691",
"md5": "8ddedce4b271cb3cc8b025a754bfd885",
"sha256": "b7cb7a12cd1bb3002a2fb3262e7f90e581446812b788fea8903f136bcaa0b210"
},
"downloads": -1,
"filename": "hbc_random_number-0.2.0.tar.gz",
"has_sig": false,
"md5_digest": "8ddedce4b271cb3cc8b025a754bfd885",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.9.13",
"size": 9181,
"upload_time": "2023-09-07T19:19:41",
"upload_time_iso_8601": "2023-09-07T19:19:41.839416Z",
"url": "https://files.pythonhosted.org/packages/6d/9a/6a25d447692fbe3bca5e2a7e7379f88a19ccc6257e5694637d6d511e7691/hbc_random_number-0.2.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-09-07 19:19:41",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "sarthakvijayvergiya",
"github_project": "hbc_random_number",
"github_not_found": true,
"lcname": "hbc-random-number"
}
JSON
