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Entropy Library and making existing operations use it
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src/core/lib/Entropy.mjs
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src/core/lib/Entropy.mjs
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/**
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* @author n1073645 [n1073645@gmail.com]
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* @copyright Crown Copyright 2019
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* @license Apache-2.0
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*/
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/**
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* Calculates the frequency of bytes in the input.
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*
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* @param {Uint8Array} input
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* @returns {number}
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*/
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export function freqDist(input) {
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const prob = [],
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occurrences = new Array(256).fill(0);
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// Count occurrences of each byte in the input
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let i;
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for (i = 0; i < input.length; i++) {
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occurrences[input[i]]++;
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}
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// Store probability list
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for (i = 0; i < occurrences.length; i++) {
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if (occurrences[i] > 0) {
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prob.push(occurrences[i] / input.length);
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}
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}
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return prob;
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}
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/**
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* Calculates the entropy of the input.
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*
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* @param {Uint8Array} input
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* @returns {number}
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*/
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export function calculateShannonEntropy(input) {
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const prob = freqDist(input);
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// Calculate Shannon entropy
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let entropy = 0,
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p;
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for (let i = 0; i < prob.length; i++) {
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p = prob[i];
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entropy += p * Math.log(p) / Math.log(2);
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}
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return -entropy;
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}
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/**
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* Calculates the entropy of the input from the passed probability.
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*
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* @param {Uint8Array} prob
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* @returns {number}
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*/
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export function calculateShannonEntropyFromProb(prob) {
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// Calculate Shannon entropy
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let entropy = 0,
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p;
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for (let i = 0; i < prob.length; i++) {
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p = prob[i];
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entropy += p * Math.log(p) / Math.log(2);
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}
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return -entropy;
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}
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/**
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* Calculates the scanning entropy of the input.
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*
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* @param {Uint8Array} inputBytes
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* @param {number} binWidth
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* @returns {Object}
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*/
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export function calculateScanningEntropy(inputBytes, binWidth) {
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const entropyData = [];
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for (let bytePos = 0; bytePos < inputBytes.length; bytePos += binWidth) {
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const block = inputBytes.slice(bytePos, bytePos+binWidth);
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entropyData.push(calculateShannonEntropy(block));
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}
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return { entropyData, binWidth };
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}
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