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TRNGen: Truly Random Number Generator

TRNGen is a Python package that provides a secure and unpredictable random number generator by incorporating external entropy factors such as audio, disk and network I/O readings, events, display, mouse coordinates, and timer. These factors are combined using XOR, hashing algorithms, and linearity deviation to produce truly random values that avoid algorithmic prediction.

Content:

Features

  • External Factors: Utilizes various external entropy factors to enable true randomness.
    • Audio: Captures audio data.
    • Disk I/O Readings: Includes disk I/O readings.
    • Network I/O Readings: Incorporates network I/O readings for added entropy.
    • Display: Utilizes random display information for increased unpredictability.
    • Mouse Coordinates: Captures mouse coordinates.
    • Timer: Includes timer values in the randomization process.
  • Secure: Employs cryptographic techniques on top of above values to ensure unpredictability.
    • XOR function
    • Hashing algorithms
    • Linearity Deviation method
  • Easy Integration: Simple Python package use for easy integration into your projects.

Requirements

  • Python >= 3.7
    • Download the installer, run it and follow the steps.
    • Make sure to check the box that says Add Python to PATH during installation.
    • Reboot computer.

Installation

You can install TRNGen using pip:

pip install TRNGen

How to use

  • Import

from trngen import TRNGen
  • Create an instance of the TRNGen generator

generator = TRNGen()
  • Available parameters:

  • Available functions:

    • trngen()

      • Main function that generates and returns the random integer hash value
    • hash(algorithm='sha3_256')

      • Returns random cryptographic hash
    • percentage(simple=False)

      • Returns random percentage in decimal form
    • integer(start, end)

      • Returns random integer in range from start to end
    • float(start, end)

      • Returns random float in range from start to end
    • alphanumeric(length=any)

      • Returns random alphanumeric value, default of letters, digits and symbols
    • choice(seq)

      • Randomly chooses a element from an iterable sequence
    • shuffle(seq, in_place=True)

      • Randomly shuffles an iterable
    • sample(seq, sample_size)

      • Randomly samples a specified number of elements from an iterable

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

If you encounter any issues or have questions, feel free to open an issue.

Metadata

Release files for TRNGen 0.0.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for TRNGen 0.0.2
File Size Uploaded
TRNGen-0.0.2.tar.gz 7.6 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for TRNGen 0.0.2
File Interpreter ABI Platform
TRNGen-0.0.2-py3-none-any.whl Python 3 none any Details

Total release size: 17.3 kB

Release files / TRNGen-0.0.2.tar.gz

Download URL TRNGen-0.0.2.tar.gz
Size 7.6 kB
Tags Source
SHA-256 checksum
How to use checksums
cb4e0b21eae1878286b02fd18560c294158a4d5fd33ef8c4a5c0e5068848651a
BLAKE2b-256 checksum
How to use checksums
6e46c1343760d81652e58f15978cf7eba82aecb1ba7a18b54bc7c2321dfe3a66
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.2

Release files / TRNGen-0.0.2-py3-none-any.whl

Download URL TRNGen-0.0.2-py3-none-any.whl
Size 9.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b6e5aa8232c84fdf5a70964117f820a542e72bb62bc6d6cc35ea7e47e8535838
BLAKE2b-256 checksum
How to use checksums
9938bade8ea67ce54838bc4aff5d99a46487a0ecd81a3c8db2d9625445a04f65
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.2

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