It is a legacy game of FLAME, that children and teenagers use to play on their crushes. The theory of flame states that it could forecast the relationship in between 2 person by doing a flame-test on their individual names.

flame.js

/*
The Legacy Game of FLAME
Copyright (c) 2015 Nistush Tech Solution.
Protected by Creative Commons license (CC BY 4.0).

@file     flame.js
@author   Abhishek Kumar
*/

export function flame(argv) {
    if (argv.h || argv.help) {
        return `
It is a legacy game of FLAME, that children and teenagers use to play on their crushes. 

The theory of flame states that it could forecast the relationship in between 2 person by doing a flame-test on their individual names.

Syntax:
 flame [name1] [name2]
 
 where,
  [name1]   1st person name
  [name2]   2nd person name

Options:
 -h --help   show help options
 -v --ver    show version
        `;
    } else if (argv.v || argv.ver) {
        return `FLAME (Version 1.0.0)`;
    } else if (argv._.length == 0) {
        return `Missing both person names`;
    } else if (argv._.length == 1) {
        return `Missing another person name`;
    } else {
        var flame = new FlameTester();
        return flame.calculate(argv._.slice(0, 2));
    }
}

function FlameTester() {
    var FLAME = [
    	'Friend',
        'Lovers',
        'Affection',
        'Marriage',
        'Enemies'
    ];
	var getStatistic = function (list) {
        var statistic = [];
    	for (var i=0; i<list.length; i++) {
            statistic[i] = {};
            var name = list[i].toLowerCase().split('');
        	for (var j=0; j<name.length; j++) {
            	if (statistic[i].hasOwnProperty(name[j])) {
                	statistic[i][name[j]]++;
                } else {
                	statistic[i][name[j]] = 1;
                }
            }
        }
        return statistic;
    };
    var filterCommons = function (statistic) {
        var frequency = {};
    	for (var i=0; i<statistic.length; i++) {
            for (var j in statistic[i]) {
                if (i == 0) {
                	frequency[j] = statistic[i][j];
                } else {
                	if (frequency.hasOwnProperty(j)) {
                    	frequency[j] = null;
                    } else {
                    	frequency[j] = statistic[i][j];
                    }
                }
            }
        }
        for (var k in frequency) {
            if (frequency[k] == null || k == ' ') {
            	delete frequency[k];
            }
        }
        return frequency;
    };
    var sigmaFrequency = function (frequency) {
    	var sum = 0;
        for (var k in frequency) {
            sum += frequency[k];
        }
        return sum;
    };
    var getCode = function (sigma) {
    	var code = sigma % 5;
        return ((code == 0) ? 5 : code);
    };
    this.calculate = function (inames){
    	var stats = getStatistic(inames);
        var freq = filterCommons(stats);
        var sigma = sigmaFrequency(freq);
        var code = getCode(sigma);
        return FLAME[code - 1];
    }
}

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