angarg12 / nucleogenesis

    function(prettyNumber, $sce, data) {

      this.gaussian = new Ziggurat();

      /* Return the HTML representation of an element, or the element itself

      if it doesn't have one */

      this.getHTML = function(resource) {

        let html = data.html[resource];

        if (typeof html === 'undefined' && data.resources[resource]) {

          html = data.resources[resource].html;

        }

        if (typeof html === 'undefined') {

          return resource;

        }

        return html;

      };

      this.prettifyNumber = function(number) {

        if (typeof number === 'undefined' || number === null) {

          return null;

        }

        if (number === '') {

          return '';

        }

        if (number === Infinity) {

          return '∞';

        }

        if (number === 0) {

          return '0';

        }

        if (number > 1e6) {

          // Very ugly way to extract the mantisa and exponent from an exponential string

          let exponential = number.toPrecision(6).split('e');

          let exponent = parseFloat(exponential[1].split('+')[1]);

          // And it is displayed with superscript

          return Number.parseFloat(exponential[0]).toFixed(4) +

            ' &#215; 10<sup>' +

            this.prettifyNumber(exponent) +

            '</sup>';

        }

        if (number < 1e-6) {

          // Very ugly way to extract the mantisa and exponent from an exponential string

          let exponential = number.toPrecision(6).split('e');

          let exponent = parseFloat(exponential[1].split('-')[1]);

          // And it is displayed with superscript

          return Number.parseFloat(exponential[0]).toFixed(4) +

            ' &#215; 10<sup>-' +

            this.prettifyNumber(exponent) +

            '</sup>';

        }

        // we use a regex to remove trailing zeros, plus . (if necessary)

        return prettyNumber(number, 6);

      };

      this.randomDraw = function(number, p) {

        let production;

        let mean = number * p;

        // Gaussian distribution

        let q = 1 - p;

        let variance = number * p * q;

        let std = Math.sqrt(variance);

        production = Math.round(this.gaussian.nextGaussian() * std + mean);

        if (production > number) {

          production = number;

        }

        if (production < 0) {

          production = 0;

        }

        return production;

      };

      this.trustHTML = function(html) {

        return $sce.trustAsHtml(html);

      };

    }

  ]);