How to use flattenedValues method in Best

Best JavaScript code snippet using best

animator.js

Source:animator.js

1var {flattenMatrixOnce, groupValuesIntoArrays} = require('./utils.js');2var _ = require('lodash');3//function setColorSequence(red, green, blue, numSteps) {4// var redSequence = this.generateSequence(this.red, red, numSteps);5// var greenSequence = this.generateSequence(this.green, green, numSteps);6// var blueSequence = this.generateSequence(this.blue, blue, numSteps);7//8// var isRunning = this.sequence.length ? true : false;9// this.sequence = _.zip(redSequence, greenSequence, blueSequence, opacity);10//11//12//}13//function generateSequence(from, to, numSteps) {14// var stepDiff = (to - from) / numSteps;15// var steps = [];16// for(var i = 1; i <= numSteps; i++) {17// var val = from + stepDiff * i18// val = parseFloat(val.toFixed(2));19// steps.push(val);20// }21// return steps;22//}23//24function calculateValueInRange(from, to, pct) {25 /* calculates a value from from-to based on provided pct value26 * a pct value of 0.0 returns from, 27 * a pct value of 1.0 returns to,28 * a pct value of 0.5 returns a value half way between from and to */29 var diff = to - from;30 var pctValue = parseInt(diff * pct)31 return from + pctValue;32}33// WORK IN PROGRESS - ANIMATOR NEEDS TO ANIMATE BETWEEN OLD AND NEW VALUES34class Animator {35 constructor(numSteps, stepInterval) {36 this.numSteps = numSteps;37 this.stepInterval = stepInterval;38 this.stepFnIdentifier = undefined;39 }40 animate(prevRgbArrays, rgbArrays, animatedValueFn, completionFn) {41 // clear any existing animation instances before animating again42 clearTimeout(this.stepFnIdentifier);43 // convert [[R,G,B],...] arrays to [R,G,B,R,G,B,...]; makes it easier for comparison44 var flattenedValues = flattenMatrixOnce(rgbArrays)45 var flattenedPrevValues = flattenMatrixOnce(prevRgbArrays)46 // quick check47 if(flattenedValues.length != flattenedPrevValues.length) {48 console.error(`Animator cannot animate with differing sized prevRgbArrays and rgbArrays. flattenedValues.length=\${flattenedValues.length} flattenedPrevValues.length=\${flattenedPrevValues.length}`);49 return50 }51 // zip old and new values together for easier calculation of step values52 var flattenedOldNewValues = _.zip(flattenedPrevValues, flattenedValues);53 var currentStep = 0;54 var step = () => {55 // determine animation percent from 0.0-1.056 var animationPct = currentStep / this.numSteps;57 // generate a 58 var flattenedStepValues = flattenedOldNewValues.map((zippedValues) => {59 var oldValue = zippedValues[0];60 var newValue = zippedValues[1];61 return calculateValueInRange(oldValue, newValue, animationPct);62 });63 // group flattened [R, G, B, R, G, B] values and back into [[R,G,B], [R,G,B]] arrays64 var stepValues = groupValuesIntoArrays(flattenedStepValues, 3);65 animatedValueFn(stepValues);66 currentStep += 1;67 if(currentStep < this.numSteps) {68 this.stepFnIdentifier = setTimeout(step, this.stepInterval);69 } else {70 completionFn();71 }72 }73 step();74 }75}...

utils.ts

Source:utils.ts

1import {2 PublicMetafieldsValues,3 UnknownPublicSettingsValues,4} from "@/saleor-app-checkout/types/api";5import {6 Item,7 NamedNode,8 Node,9 PublicMetafieldID,10 PublicSettingID,11} from "@/saleor-app-checkout/types/common";12import { CombinedError } from "urql";13export const flattenSettingId = (14 groupId: PublicSettingID[number],15 optionIdx: number,16 settingId: string17) => `\${groupId}-\${optionIdx}-\${settingId}`;18export const unflattenValue = (19 valueId: PublicMetafieldID[number],20 flattenedValues: Record<string, string>21) => {22 const valueKey = Object.keys(flattenedValues).find((flattedKey) => {23 const keys = flattedKey.split("-");24 return keys[0] === valueId;25 });26 return valueKey && flattenedValues[valueKey];27};28export const unflattenSettings = <S extends Node>(29 groupId: PublicSettingID[number],30 flattenedValues: Record<string, string>,31 options: S[]32) => {33 const unflattenedSettings: UnknownPublicSettingsValues = {};34 Object.keys(flattenedValues).forEach((flattedKey) => {35 const keys = flattedKey.split("-");36 if (keys[0] !== groupId) {37 return;38 }39 const mainKey = options[Number(keys[1])]?.id;40 const subKey = keys[2];41 if (mainKey && subKey) {42 unflattenedSettings[mainKey] = {43 ...unflattenedSettings[mainKey],44 [subKey]: flattenedValues[flattedKey],45 };46 }47 });48 return unflattenedSettings;49};50export const mapNodeToItem = (node: NamedNode): Item => ({51 id: node.id,52 label: node.name,53});54export const mapNodesToItems = (nodes?: NamedNode[]): Item[] => nodes?.map(mapNodeToItem) || [];55export const getCommonErrors = (error?: Partial<CombinedError>) =>56 error?.graphQLErrors || error?.networkError57 ? [...(error?.graphQLErrors || []), ...(error?.networkError ? [error.networkError] : [])]58 : [...(error ? [error] : [])];59export const getMetafield = (60 metafields: PublicMetafieldsValues,61 metafieldId: PublicMetafieldID[number]62) => metafields[metafieldId];63export const getRawAppPath = (path: string): string => {64 const trimmedQueryParams = path.split("?")[0];65 const trimmedLanguage = trimmedQueryParams.replace(/^\/[a-z]{2}(-[A-Z]{2})?(\/|\$)/, "/");66 return trimmedLanguage;...

Streamroller.js

Source:Streamroller.js

1function steamrollArray(arr) {2 // I'm a steamroller, baby3 var flattenedValues =[];4 for(var i=0;i<arr.length;i++){5 if(Array.isArray(arr[i])){6 var intermediateArray = steamrollArray(arr[i]);7 flattenedValues = flattenedValues.concat(intermediateArray);8 }9 else{10 flattenedValues.push(arr[i]);11 }12 }13 14 return flattenedValues;...

Using AI Code Generation

Using AI Code Generation

1var bestFit = require('./bestFit.js');2var bestFitInstance = new bestFit();3var xValues = [1, 2, 3, 4, 5];4var yValues = [1, 2, 3, 4, 5];5var flattenedValues = bestFitInstance.flattenedValues(xValues, yValues);6console.log(flattenedValues);7var bestFit = require('./bestFit.js');8var bestFitInstance = new bestFit();9var xValues = [1, 2, 3, 4, 5];10var yValues = [1, 2, 3, 4, 5];11var bestFitValues = bestFitInstance.getBestFit(xValues, yValues);12console.log(bestFitValues);13var bestFit = require('./bestFit.js');14var bestFitInstance = new bestFit();15var xValues = [1, 2, 3, 4, 5];16var yValues = [1, 2, 3, 4, 5];17var bestFitValues = bestFitInstance.getBestFit(xValues, yValues);18console.log(bestFitValues);19var bestFit = require('./bestFit.js');20var bestFitInstance = new bestFit();21var xValues = [1, 2, 3, 4, 5];22var yValues = [1, 2, 3, 4, 5];23var bestFitValues = bestFitInstance.getBestFit(xValues, yValues);24console.log(bestFitValues);25var bestFit = require('./bestFit.js');26var bestFitInstance = new bestFit();

Using AI Code Generation

1var BestFitLine = require('./BestFitLine.js');2var myLine = new BestFitLine();3var xValues = [1,2,3,4,5,6,7,8,9,10,11,12];4var yValues = [10,20,30,40,50,60,70,80,90,100,110,120];5myLine.setValues(xValues,yValues);6myLine.calculate();7console.log('slope: ' + myLine.slope);8console.log('intercept: ' + myLine.intercept);9console.log('rSquared: ' + myLine.rSquared);10function BestFitLine() {11 this.setValues = function(xValues, yValues) {12 this.xValues = xValues;13 this.yValues = yValues;14 };15 this.calculate = function() {16 var n = this.xValues.length;17 var sumX = 0;18 var sumY = 0;19 var sumXY = 0;20 var sumXX = 0;21 var sumYY = 0;22 for (var i = 0; i < n; i++) {23 var x = this.xValues[i];24 var y = this.yValues[i];25 sumX += x;26 sumY += y;27 sumXY += x * y;28 sumXX += x * x;29 sumYY += y * y;30 }31 var slope = (n * sumXY - sumX * sumY) / (n * sumXX - sumX * sumX);32 var intercept = (sumY - slope * sumX) / n;33 var rSquared = Math.pow((n * sumXY - sumX * sumY) / Math.sqrt((n * sumXX - sumX * sumX) * (n * sumYY - sumY * sumY)), 2);34 this.slope = slope;35 this.intercept = intercept;36 this.rSquared = rSquared;37 };38}39module.exports = BestFitLine;

Using AI Code Generation

Using AI Code Generation

1import { BestFitLine } from './bestFitLine.js';2let bestFitLine = new BestFitLine();3 { x: 1, y: 3 },4 { x: 2, y: 5 },5 { x: 3, y: 7 },6 { x: 4, y: 9 },7 { x: 5, y: 11 },8 { x: 6, y: 13 },9 { x: 7, y: 15 },10 { x: 8, y: 17 },11 { x: 9, y: 19 },12 { x: 10, y: 21 }13];14let { slope, intercept } = bestFitLine.flattenedValues(dataPoints);15console.log(`y = \${slope}x + \${intercept}`);16document.getElementById('equation').innerHTML = `y = \${slope}x + \${intercept}`;

Using AI Code Generation

1import java.util.Scanner;2import java.io.File;3import java.io.FileNotFoundException;4import java.io.PrintWriter;5public class Test4 {6 public static void main(String[] args) throws FileNotFoundException {7 Scanner in = new Scanner(new File("data.txt"));8 PrintWriter out = new PrintWriter("output.txt");9 int n = in.nextInt();10 double[] x = new double[n];11 double[] y = new double[n];12 for (int i = 0; i < n; i++) {13 x[i] = in.nextDouble();14 y[i] = in.nextDouble();15 }16 BestFitLine line = new BestFitLine(x, y);17 out.println("The best fit line is: y = " + line.getA() + "x + " + line.getB());18 out.println("The correlation coefficient is: " + line.getR());19 out.println("The standard error is: " + line.getStandardError());20 out.println("The y values predicted by the line are:");21 double[] yPredicted = line.getYPredicted();22 for (int i = 0; i < n; i++) {23 out.println(yPredicted[i]);24 }25 out.close();26 }27}28import java.util.Scanner;29import java.io.File;30import java.io.FileNotFoundException;31public class BestFitLine {32 private double[] x;33 private double[] y;34 private double a;35 private double b;36 private double r;37 private double standardError;38 public BestFitLine(double[] x, double[] y) {39 this.x = x;40 this.y = y;41 findBestFitLine();42 }43 private void findBestFitLine() {44 double sum = 0;45 for (int i = 0; i < x.length; i++) {46 sum = sum + x[i];47 }

Using AI Code Generation

1const BestMatchFinder = require('./BestMatchFinder');2];3const string = 'abcdefg';4const bestMatchFinder = new BestMatchFinder(strings);5const bestMatch = bestMatchFinder.findBestMatch(string);6console.log('best match for ' + string + ' is ' + bestMatch.string);7console.log('best match has score of ' + bestMatch.score);8console.log('best match has index of ' + bestMatch.index);9console.log('best match has matches of ' + bestMatch.matches);

Using AI Code Generation

1var bestbuy = require("bestbuy")("XXXXXX");2var products = [];3var prices = [];4var screens = [];5bestbuy.products("(salePrice<100) AND (screenSize>40)", {show:"name,regularPrice,salePrice,screenSize", pageSize: 100, page: 1}, function(err, data){6 if(err) {console.error(err);}7 else {8 products = data.products;9 prices = data.products.flattenedValues("salePrice");10 screens = data.products.flattenedValues("screenSize");11 console.log(products);12 console.log(prices);13 console.log(screens);14 }15});16var numProducts = [];17bestbuy.products("(salePrice<100) AND (screenSize>40)", {show:"name,regularPrice,salePrice,screenSize", pageSize: 100, page: 1}, function(err, data){18 if(err) {console.error(err);}19 else {20 numProducts = data.products.length;21 console.log(numProducts);22 }23});24var totalPrice = [];25bestbuy.products("(salePrice<100) AND (screenSize>40)", {show:"name,regularPrice,salePrice,screenSize", pageSize: 100, page: 1}, function(err, data){26 if(err) {console.error(err);}27 else {28 totalPrice = data.products.flattenedValues("salePrice").reduce(function(a, b) { return a + b; });

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