var assert = require('assert'), _ = require('underscore'), math = require('../../../src/index.js'); var assertApproxEqual = function(testVal, val, tolerance) { var diff = Math.abs(val - testVal) if (diff > tolerance) assert.equal(testVal, val) else assert.ok(diff <= tolerance) } var assertUniformDistribution = function(values, min, max) { var interval = (max - min) / 10, count count = _.filter(values, function(val) { return val < min }).length assert.equal(count, 0) count = _.filter(values, function(val) { return val > max }).length assert.equal(count, 0) count = _.filter(values, function(val) { return val < (min + interval) }).length assertApproxEqual(count/values.length, 0.1, 0.03) count = _.filter(values, function(val) { return val >= (min + interval) && val < (min + 2 * interval) }).length assertApproxEqual(count/values.length, 0.1, 0.03) count = _.filter(values, function(val) { return val >= (min + 2 * interval) && val < (min + 3 * interval) }).length assertApproxEqual(count/values.length, 0.1, 0.03) count = _.filter(values, function(val) { return val >= (min + 3 * interval) && val < (min + 4 * interval) }).length assertApproxEqual(count/values.length, 0.1, 0.03) count = _.filter(values, function(val) { return val >= (min + 4 * interval) && val < (min + 5 * interval) }).length assertApproxEqual(count/values.length, 0.1, 0.03) count = _.filter(values, function(val) { return val >= (min + 5 * interval) && val < (min + 6 * interval) }).length assertApproxEqual(count/values.length, 0.1, 0.03) count = _.filter(values, function(val) { return val >= (min + 6 * interval) && val < (min + 7 * interval) }).length assertApproxEqual(count/values.length, 0.1, 0.03) count = _.filter(values, function(val) { return val >= (min + 7 * interval) && val < (min + 8 * interval) }).length assertApproxEqual(count/values.length, 0.1, 0.03) count = _.filter(values, function(val) { return val >= (min + 8 * interval) && val < (min + 9 * interval) }).length assertApproxEqual(count/values.length, 0.1, 0.03) count = _.filter(values, function(val) { return val >= (min + 9 * interval) }).length assertApproxEqual(count/values.length, 0.1, 0.03) } var assertUniformDistributionInt = function(values, min, max) { var range = _.range(Math.floor(min), Math.floor(max)), count values.forEach(function(val) { assert.ok(_.contains(range, val)) }) range.forEach(function(val) { count = _.filter(values, function(testVal) { return testVal === val }).length assertApproxEqual(count/values.length, 1/range.length, 0.03) }) } var testRandomFloat = function() { var picked = [], count _.times(1000, function() { picked.push(math.random()) }) assertUniformDistribution(picked, 0, 1) } var testRandomFloatMinMax = function() { var picked = [], count _.times(1000, function() { picked.push(math.random(-10, 10)) }) assertUniformDistribution(picked, -10, 10) } var testRandomMatrix = function() { var picked = [], matrices = [], size = [2, 3, 4], count, matrix _.times(100, function() { matrices.push(math.random(size)) }) // Collect all values in one array matrices.forEach(function(matrix) { assert.deepEqual(matrix.size(), size) matrix.forEach(function(val) { picked.push(val) }) }) assert.equal(picked.length, 2 * 3 * 4 * 100) assertUniformDistribution(picked, 0, 1) } var testRandomMatrixMinMax = function() { var picked = [], matrices = [], size = [2, 3, 4], matrix _.times(100, function() { matrices.push(math.random(size, -103, 8)) }) // Collect all values in one array matrices.forEach(function(matrix) { assert.deepEqual(matrix.size(), size) matrix.forEach(function(val) { picked.push(val) }) }) assert.equal(picked.length, 2 * 3 * 4 * 100) assertUniformDistribution(picked, -103, 8) } var testRandomInvalidArgs = function() { assert.throws(function() { math.random(1, 2, [4, 8]) }) assert.throws(function() { math.random(1, 2, 3, 6) }) } var testRandomIntMinMax = function() { var picked = [] _.times(10000, function() { picked.push(math.randomInt(-15, -5)) }) assertUniformDistributionInt(picked, -15, -5) } var testRandomIntMatrixMinMax = function() { var picked = [], matrices = [], size = [2, 3, 4], matrix _.times(1000, function() { matrices.push(math.randomInt(size, -14.9, -2)) }) // Collect all values in one array matrices.forEach(function(matrix) { assert.deepEqual(matrix.size(), size) matrix.forEach(function(val) { picked.push(val) }) }) assert.equal(picked.length, 2 * 3 * 4 * 1000) assertUniformDistributionInt(picked, -14.9, -2) } var testRandomIntInvalidArgs = function() { assert.throws(function() { math.randomInt(1, 2, [4, 8]) }) assert.throws(function() { math.randomInt(1, 2, 3, 6) }) } var testPickRandom = function() { var possibles = [11, 22, 33, 44, 55], picked = [], count _.times(1000, function() { picked.push(math.pickRandom(possibles)) }) count = _.filter(picked, function(val) { return val === 11 }).length assert.equal(math.round(count/picked.length, 1), 0.2) count = _.filter(picked, function(val) { return val === 22 }).length assert.equal(math.round(count/picked.length, 1), 0.2) count = _.filter(picked, function(val) { return val === 33 }).length assert.equal(math.round(count/picked.length, 1), 0.2) count = _.filter(picked, function(val) { return val === 44 }).length assert.equal(math.round(count/picked.length, 1), 0.2) count = _.filter(picked, function(val) { return val === 55 }).length assert.equal(math.round(count/picked.length, 1), 0.2) } var testRandomNormal = function() { var picked = [], count, distribution = math.distribution('normal') _.times(100000, function() { picked.push(distribution.random()) }) count = _.filter(picked, function(val) { return val < 0 }).length assert.equal(count, 0) count = _.filter(picked, function(val) { return val > 1 }).length assert.equal(count, 0) count = _.filter(picked, function(val) { return val < 0.25 }).length assertApproxEqual(count/picked.length, 0.07, 0.01) count = _.filter(picked, function(val) { return val < 0.4 }).length assertApproxEqual(count/picked.length, 0.27, 0.01) count = _.filter(picked, function(val) { return val < 0.5 }).length assertApproxEqual(count/picked.length, 0.5, 0.01) count = _.filter(picked, function(val) { return val < 0.6 }).length assertApproxEqual(count/picked.length, 0.73, 0.01) count = _.filter(picked, function(val) { return val < 0.75 }).length assertApproxEqual(count/picked.length, 0.93, 0.01) } testRandomFloat() testRandomFloatMinMax() testRandomMatrix() testRandomMatrixMinMax() testRandomInvalidArgs() testRandomIntMinMax() testRandomIntMatrixMinMax() testRandomIntInvalidArgs() testPickRandom() testRandomNormal()