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/* eslint no-shadow: 0 */
const test = require("tap").test;const ss = require("../");
function rnd(n) {    return parseFloat(n.toFixed(4));}
test("binomialDistribution", function (t) {    // Data given in the [Wikipedia example](http://en.wikipedia.org/wiki/Binomial_distribution#Example) retrieved 29 Mar 2014    // Cumulative probabilities worked by hand to mitigate accumulated rounding errors.    t.test(        "can return generate probability and cumulative probability distributions for n = 6, p = 0.3",        function (t) {            t.equal("object", typeof ss.binomialDistribution(6, 0.3));            t.equal(                rnd(ss.binomialDistribution(6, 0.3)[0]),                0.1176,                ss.epsilon            );            t.equal(                rnd(ss.binomialDistribution(6, 0.3)[1]),                0.3025,                ss.epsilon            );            t.equal(                rnd(ss.binomialDistribution(6, 0.3)[2]),                0.3241,                ss.epsilon            );            t.equal(                rnd(ss.binomialDistribution(6, 0.3)[3]),                0.1852,                ss.epsilon            );            t.equal(                rnd(ss.binomialDistribution(6, 0.3)[4]),                0.0595,                ss.epsilon            );            t.equal(                rnd(ss.binomialDistribution(6, 0.3)[5]),                0.0102,                ss.epsilon            );            t.equal(                rnd(ss.binomialDistribution(6, 0.3)[6]),                0.0007,                ss.epsilon            );            t.end();        }    );
    t.test(        "can return null when p or n are not valid parameters",        function (t) {            t.equal(                ss.binomialDistribution(0, 0.5),                undefined,                "n should be strictly positive"            );            t.equal(                ss.binomialDistribution(1.5, 0.5),                undefined,                "n should be an integer"            );            t.equal(                ss.binomialDistribution(2, -0.01),                undefined,                "p should be greater than 0.0"            );            t.equal(                ss.binomialDistribution(2, 1.5),                undefined,                "p should be less than 1.0"            );            t.end();        }    );    t.end();});