Best JavaScript code snippet using best
plots.js
Source: plots.js
...67 hovertemplate: '%{y}ms<br>%{text}<extra></extra>',68 fill: showsVariation ? 'none' : 'tozeroy',69 };70}71function buildVarianceTrend({ dates, values, name, commits }) {72 return {73 y: values,74 x: commits.map((commit) => commit.slice(0, 7)),75 text: dates,76 mode: 'lines',77 name: name,78 line: {79 shape: 'spline',80 color: 'transparent',81 },82 fill: 'tonexty',83 fillcolor: name.includes('high') ? colorForName(name, false) : 'transparent',84 showlegend: false,85 hoverinfo: 'skip',86 hoveron: 'fills',87 };88}89function buildTrend(object, showsVariation) {90 if (object.type === 'filled') {91 return buildVarianceTrend(object);92 } else if (object.type === 'line') {93 return buildLineTrend(object, showsVariation);94 }95 return {};96}97function sumArrays(array1, array2, mul = 1) {98 return array1.map((num, idx) => num + mul * array2[idx]);99}100function buildCombinedValues(metrics, benchmark) {101 return metrics.map((metric) => [102 {103 commits: benchmark.commits,104 dates: benchmark.commitDates,105 values: metric.durations,...
Using AI Code Generation
1var BestFitTrend = require('./BestFitTrend.js');2var trend = new BestFitTrend();3var data = [1,2,3,4,5,6,7,8,9,10];4console.log(trend.buildVarianceTrend(data));5var BestFitTrend = function() {6 this.buildVarianceTrend = function(data) {7 var trend = 0;8 var sum = 0;9 var mean = 0;10 var variance = 0;11 var i = 0;12 var length = data.length;13 for (i = 0; i < length; i++) {14 sum += data[i];15 }16 mean = sum / length;17 for (i = 0; i < length; i++) {18 variance += Math.pow((data[i] - mean), 2);19 }20 variance = variance / length;21 trend = Math.sqrt(variance);22 return trend;23 };24};25module.exports = BestFitTrend;
Using AI Code Generation
1var BestFit = require('BestFit');2var x = [1,2,3,4,5];3var y = [2,4,6,8,10];4var trend = BestFit.buildVarianceTrend(x,y);5###BestFit.buildTrend(x,y)6###BestFit.buildVarianceTrend(x,y)7###BestFit.buildLeastSquaresTrend(x,y)8###BestFit.buildTrendFromPoints(points)9###BestFit.buildVarianceTrendFromPoints(points)10###BestFit.buildLeastSquaresTrendFromPoints(points)11###BestFit.buildTrendFromPointArrays(x,y)
Using AI Code Generation
1var bestFit = require("./bestFit");2];3var trend = bestFit.buildVarianceTrend(data);4console.log(trend);5### buildCorrelationTrend(data)6var bestFit = require("./bestFit");7];8var trend = bestFit.buildCorrelationTrend(data);9console.log(trend);10### buildSlopeTrend(data)11var bestFit = require("./bestFit");12];13var trend = bestFit.buildSlopeTrend(data);14console.log(trend);15### buildLinearTrend(data)
Using AI Code Generation
1var BestFit = require('./bestFit.js');2var bestFit = new BestFit();3 {x: 1, y: 1},4 {x: 2, y: 2},5 {x: 3, y: 3},6 {x: 4, y: 4},7 {x: 5, y: 5},8 {x: 6, y: 6},9 {x: 7, y: 7},10 {x: 8, y: 8},11 {x: 9, y: 9},12 {x: 10, y: 10},13 {x: 11, y: 11},14 {x: 12, y: 12},15 {x: 13, y: 13},16 {x: 14, y: 14},17 {x: 15, y: 15},18 {x: 16, y: 16},19 {x: 17, y: 17},20 {x: 18, y: 18},21 {x: 19, y: 19},22 {x: 20, y: 20},23 {x: 21, y: 21},24 {x: 22, y: 22},25 {x: 23, y: 23},26 {x: 24, y: 24},27 {x: 25, y: 25},28 {x: 26, y: 26},29 {x: 27, y: 27},30 {x: 28, y: 28},31 {x: 29, y: 29},32 {x: 30, y: 30},33 {x: 31, y: 31},34 {x: 32, y: 32},35 {x: 33, y: 33},36 {x: 34, y: 34},37 {x: 35, y: 35},38 {x: 36, y: 36},39 {x: 37, y: 37},40 {x: 38, y: 38},41 {x: 39, y: 39},42 {x: 40
Using AI Code Generation
1var BestFitLine = require("BestFitLine");2var bfl = new BestFitLine();3 {x: 1, y: 1},4 {x: 2, y: 2},5 {x: 3, y: 3},6 {x: 4, y: 4}7];8var varianceTrend = bfl.buildVarianceTrend(data);9console.log(varianceTrend);10[Anupam Shrivastav](
Using AI Code Generation
1var BestFitLine = require('./bestfitline.js');2var bfline = new BestFitLine();3var varianceTrend = bfline.buildVarianceTrend(10, 20, 30, 40, 50, 60, 70, 80, 90, 100);4console.log(varianceTrend);5var BestFitLine = require('./bestfitline.js');6var bfline = new BestFitLine();7var varianceTrend = bfline.buildVarianceTrend([10, 20, 30, 40, 50, 60, 70, 80, 90, 100]);8console.log(varianceTrend);9var BestFitLine = require('./bestfitline.js');10var bfline = new BestFitLine();11var varianceTrend = bfline.buildVarianceTrend([10, 20, 30, 40, 50, 60, 70, 80, 90, 100], 0.5);12console.log(varianceTrend);13var BestFitLine = require('./bestfitline.js');14var bfline = new BestFitLine();15var varianceTrend = bfline.buildVarianceTrend([10, 20, 30, 40, 50, 60, 70, 80, 90, 100], 0.5, 1);16console.log(varianceTrend);17var BestFitLine = require('./bestfitline.js');18var bfline = new BestFitLine();19var varianceTrend = bfline.buildVarianceTrend([10, 20, 30, 40, 50, 60, 70, 80, 90, 100], 0.5, 1, 1);20console.log(varianceTrend);
Using AI Code Generation
1var BestFit = require('./BestFit.js');2var TrendLine = require('./TrendLine.js');3var Point = require('./Point.js');4var dataPoints = [];5for (var i = 0; i < 10; i++)6{7 var x = Math.random();8 var y = Math.random();9 var point = new Point(x, y);10 dataPoints.push(point);11}12var bestFit = new BestFit();13var trendLine = bestFit.buildVarianceTrend(dataPoints);14console.log("Trendline: " + trendLine.toString());15console.log("Trendline Variance: " + trendLine.getVariance());16console.log("Data Points Variance: " + bestFit.getDataPointsVariance(dataPoints));17console.log("Trendline - Data Points Variance: " + bestFit.getTrendLineDataPointsVariance(dataPoints));
Using AI Code Generation
1import java.io.*;2import java.util.*;3import java.lang.*;4import java.math.*;5import java.util.regex.*;6import java.text.*;7import java.awt.*;8import java.awt.geom.*;9import java.awt.event.*;10import javax.swing.*;11import javax.swing.event.*;12import javax.swing.table.*;13import java.awt.image.*;14import javax.imageio.*;15import java.awt.print.*;16import java.awt.font.*;17import java.awt.geom.*;18import java.awt.geom.Line2D;19import java.awt.geom.Point2D;20import java.awt.geom.Rectangle2D;21import java.awt.geom.AffineTransform;22import javax.swing.border.*;23import javax.swing.text.*;24import javax.swing.text.html.*;25import javax.swing.text.html.HTMLDocument.*;26import javax.swing.text.html.StyleSheet.*;27{28 public static void main(String args[])29 {30 BestFitLine bfl = new BestFitLine();31 double x[] = {1,2,3,4,5,6,7,8,9,10};32 double y[] = {1,2,3,4,5,6,7,8,9,10};33 double trendline[] = bfl.buildVarianceTrend(x,y);34 System.out.println("Trendline: " + trendline[0] + "x + " + trendline[1]);35 System.out.println("Variance: " + bfl.getVariance());36 }37}
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