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bag-of-words model, or BoW for short, is a way of extracting features from text for use in modeling, such as with machine learning algorithms.

Sieving for large twin smooth integers using single solutions to the Prouhet-Tarry-Escott problem. Optimized for single solutions by doing the modulo computation first.

"Forked" from https://gitlab.univ-nantes.fr/uncloud/files_readmemd