Note: most of the core code is from the official implementation of usnistgov/SP800-90B_EntropyAssessment. This repository is a customized version of the official implementation to support the following features:

• output the predictions
• calculate the accuracy using only part of the input data
• print accuracies in a format that is compatible with my plotting script
• support multiple files as input
• use d = [8, 16, 32, 64, 96] instead of only 16 (as in official implementation)

make

This will generate a shared library libMultiMMC.so.

pip install numpy

usage: multiMMC.py [-h] -f FILES [FILES ...] [-u] [-d DATASET] [-c COLOR]

MultiMMC Python Wrapper

optional arguments:
  -h, --help            show this help message and exit
  -f FILES [FILES ...], --files FILES [FILES ...]
                        files to test
  -u, --human           human readable
  -d DATASET, --dataset DATASET
                        override dataset name
  -c COLOR, --color COLOR
                        override color name

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