Skip to main content

Generate multi-precision non-deterministic random Numbers.

Project description

Pure_NRNG

PyPI PyPI - Status GitHub Release Date Language grade: Python Codacy Badge PyPI - Downloads PyPI - Python Version PyPI - License

Generate multi-precision non-deterministic random Numbers package in python.

According to the calculation of the minimum entropy value of the raw entropy, the adaptive absorption of the appropriate entropy bit.

Installation

Installation can be done through pip. You must have python version >= 3.8

pip install pure-nrng

Usage

The statement to import the package:

from pure_nrng_package import pure_nrng
or
from pure_nrng_package import *

Example:

>>> nrng_instance = pure_nrng()
>>> true_rand_bits = nrng_instance.true_rand_bits(256)
>>> next(true_rand_bits)
>>> true_rand_float = nrng_instance.true_rand_float(256)
>>> next(true_rand_float)
>>> true_rand_int = nrng_instance.true_rand_int(100, 1)
>>> next(true_rand_int)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pure_nrng-1.1.0.tar.gz (7.2 kB view hashes)

Uploaded Source

Built Distribution

pure_nrng-1.1.0-py3-none-any.whl (21.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page