israndom tests a sequence of symbols for randomness. israndom tries to determine if a given sequence of trials could reasonably be assumed to be from a random uniform distribution over a fixed-size alphabet of 2-256 symbols. It uses mathematical results from Kolmogorov Complexity theory and Shannon entropy (in classical information theory) in order to determine if a given sequence is effectively random or not. It does this by bounding the Kolmogorov complexity function from above using compressors. .
