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Updated eslint whitespace rules

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n1474335 2017-02-09 15:09:33 +00:00
parent ebf2258715
commit e803d208e8
51 changed files with 801 additions and 793 deletions
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42
src/js/operations/Entropy.js
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@ -8,13 +8,13 @@
* @namespace
*/
var Entropy = {
/**
* @constant
* @default
*/
CHUNK_SIZE: 1000,
/**
* Entropy operation.
*
@ -26,7 +26,7 @@ var Entropy = {
var chunkSize = args[0],
output = "",
entropy = Entropy._calcEntropy(input);
output += "Shannon entropy: " + entropy + "\n" +
"<br><canvas id='chart-area'></canvas><br>\n" +
"- 0 represents no randomness (i.e. all the bytes in the data have the same value) whereas 8, the maximum, represents a completely random string.\n" +
@ -54,7 +54,7 @@ var Entropy = {
}\
]);\
</script>";
var chunkEntropy = 0;
if (chunkSize !== 0) {
for (var i = 0; i < input.length; i += chunkSize) {
@ -64,17 +64,17 @@ var Entropy = {
} else {
output += "Chunk size cannot be 0.";
}
return output;
},
/**
* @constant
* @default
*/
FREQ_ZEROS: false,
/**
* Frequency distribution operation.
*
@ -84,29 +84,29 @@ var Entropy = {
*/
runFreqDistrib: function (input, args) {
if (!input.length) return "No data";
var distrib = new Array(256),
percentages = new Array(256),
len = input.length,
showZeroes = args[0];
// Initialise distrib to 0
for (var i = 0; i < 256; i++) {
distrib[i] = 0;
}
// Count bytes
for (i = 0; i < len; i++) {
distrib[input[i]]++;
}
// Calculate percentages
var repr = 0;
for (i = 0; i < 256; i++) {
if (distrib[i] > 0) repr++;
percentages[i] = distrib[i] / len * 100;
}
// Print
var output = "<canvas id='chart-area'></canvas><br>" +
"Total data length: " + len +
@ -123,7 +123,7 @@ var Entropy = {
\
CanvasComponents.drawBarChart(canvas, scores, 'Byte', 'Frequency %', 16, 6);\
</script>";
for (i = 0; i < 256; i++) {
if (distrib[i] || showZeroes) {
output += " " + Utils.hex(i, 2) + " (" +
@ -131,11 +131,11 @@ var Entropy = {
Array(Math.ceil(percentages[i])+1).join("|") + "\n";
}
}
return output;
},
/**
* Calculates the Shannon entropy for a given chunk of data.
*
@ -147,19 +147,19 @@ var Entropy = {
var prob = [],
uniques = data.unique(),
str = Utils.byteArrayToChars(data);
for (var i = 0; i < uniques.length; i++) {
prob.push(str.count(Utils.chr(uniques[i])) / data.length);
}
var entropy = 0,
p;
for (i = 0; i < prob.length; i++) {
p = prob[i];
entropy += p * Math.log(p) / Math.log(2);
}
return -entropy;
},