NonPseudoRandom

NonPseudoRandom is a Python package that generates true random numbers using sensor noise from your local system. It serves as a drop-in replacement for Python's native random module.

Supported Sensors

NonPseudoRandom utilizes various types of system sensors to generate randomness. The supported sensor types are as follows:

Installation

You can install NonPseudoRandom via pip:

pip install nonpseudorandom

Usage

NonPseudoRandom can be used as a drop-in replacement for Python's built-in random module.
It inherites all methods of the native random class and therefore supports all of the expected functionalities.

Examples from native random methods:

import nonpseudorandom as random

print(random.random())  # Generate a random float in [0.0, 1.0)
print(random.randint(1, 10))  # Generate a random integer between 1 and 10
print(random.choice(['a', 'b', 'c']))  # Randomly select an element from a list
print(random.uniform(1.0, 10.0))  # Generate a random float between 1.0 and 10.0

my_list = [1, 2, 3, 4, 5]
random.shuffle(my_list)
print(my_list)  # The list will be shuffled

population = [1, 2, 3, 4, 5]
sample = random.sample(population, 3)
print(sample)  # Randomly sample 3 unique elements from the population

License

This project is licensed under the MIT License.