Quick and accurate determinations of the randomness of a sequence
A light package for quick and accurate determinations of the randomness of a sequence.
Identifying random patterns, and conversely, ordered patterns, is a major tool with applicability to a wide variety of fields, from mathematical analysis to cybersecurity. Random Test looks for randomness in sequences of numbers by searching for patterns which are inherently unpredictable. It uses an exponentially-decaying moment prediction to determine the net deviation between the predicted and actual elements of a sequence. In tests, this led to a net predictive accuracy of 99.85% for nonrandom sequences and 96.82% for random sequences. Additionally, this package is able to provide these predictions in under a millisecond for sequences shorter than 10 elements and under 100 milliseconds for sequences shorter than 1000 elements.
RandTest is built for Python 3. It has only one requirement:
To download randtest, use PyPI via pip:
$ pip install randtest
Alternatively, you can clone this Github repository and build from source:
$ git clone https://github.com/sudo-rushil/randtest $ cd randtest $ python setup.py install
Verify your installation by running
>>> import randtest >>> randtest.random_score([0, 1, 2, 3]) 'False'
RandTest is extremely simple to use. You only need to input either a list or a 1D Numpy array of numbers. The prediction returns
False if the sequence is ordered and
True if the sequence is random.
import numpy as np import randtest as rt ordered_sequence = np.arange(10) random_sequence = np.random.randint(10, size=10) print(rt.random_score(ordered_sequence)) print(rt.random_score(random_sequence))
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