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How to use getU method in Best
Best JavaScript code snippet using best
UReal.js
Source:UReal.js 
...17 }18 setU(u){19 this.u = u;20 }21 getU(){22 return this.u;23 }24 25 /*********26 * 27 * Type Operations28 */29 add(r){30 var result = new UReal();31 result.setX(this.getX() + r.getX());32 result.setU(Math.sqrt((this.getU() * this.getU()) + (r.getU() * r.getU()) ));33 return result;34 }35 minus(r){36 var result = new UReal();37 result.setX(this.getX() - r.getX());38 if (r==this) result.setU(0.0);39 else result.setU(Math.sqrt((this.getU()*this.getU()) + (r.getU()*r.getU())));40 return result;41 }42 mult(r){43 var result = new UReal();44 result.setX(this.getX() * r.getX());45// if (this.getU()==0.0) { result.setU(r.getU() * this.getX()); }46// else if (r.getU()==0.0) {result.setU(this.getU()*r.getX()); }47// else {48 var a = r.getX()*r.getX()*this.getU()*this.getU();49 var b = this.getX()*this.getX()*r.getU()*r.getU();50 result.setU(Math.sqrt(a + b));51// } 52 return result;53 }54 divideBy(r){55 var result = new UReal();56 if (r==this) { // pathological cases x/x57 result.setX(1.0);58 result.setU(0.0);59 return result;60 }61 if (r.getU()==0.0) { // r is a scalar62 result.setX(this.getX() / r.getX());63 result.setU(this.getU()/r.getX()); // "this" may be a scalar, too64 return result;65 }66 if (this.getU()==0.0) { // "this is a scalar, r is not67 result.setX(this.getX() / r.getX());68 result.setU(r.getU()/(r.getX()*r.getX()));69 return result;70 }71 // both variables have associated uncertainty72 var a = this.getX() / r.getX();73 var b = 0.074 var c =((this.getU()*this.getU())/Math.abs(r.getX()));75 var d = Math.abs((this.getX()*this.getX()*r.getU()*r.getU()) / (r.getX()*r.getX()*r.getX()*r.getX()));76 result.setU(Math.sqrt(c + d));77 return result;78 }79 abs(){80 var result = new UReal();81 result.setX(Math.abs(this.getX()));82 result.setU(this.getU());83 return result;84 }85 neg(){86 var result = new UReal();87 result.setX(-this.getX());88 result.setU(this.getU());89 return result;90 }91 power(s){92 var result = new UReal();93 var a = Math.pow(this.getX(), s);94 var b = ((s*(s-1))/2) * (Math.pow(this.getX(), s-2)) * (this.getU()*this.getU());95 result.setX(a);96 var c = s * this.getU() * (Math.pow(this.getX(), s-1));97 result.setU(c);98 return result;99 }100 sqrt(){101 var result = new UReal();102 if (this.getX()==0.0 && this.getU()==0.0) {103 result.setX(0.0);104 result.setU(0.0);105 }106 else {107 var a = Math.sqrt(this.getX());108 var b = 0.0; //(this.getU()*this.getU()) / ((8)*Math.pow(this.getX(), 3/2));109 var c = (this.getU()) / (2*Math.sqrt(this.getX()));110 result.setX(a - b);111 result.setU(c);112 }113 return result;114 }115 sin(){116 var result = new UReal();117 result.setX(Math.sin(this.getX()));118 result.setU(this.getU()*Math.cos(this.getX()));119 return result;120 }121 cos(){122 var result = new UReal();123 result.setX(Math.cos(this.getX()));124 result.setU(this.getU()*Math.sin(this.getX()));125 return result;126 }127 128 tan(){129 return this.sin().divideBy(this.cos()); 130 }131 acos(){132 var result = new UReal();133 result.setX(Math.acos(this.getX()));134 if (Math.abs(this.getX())!=1.0) result.setU(this.getU()/Math.sqrt((1 - this.getX()*this.getX())));135 else result.setU(this.getU());136 return result;137 }138 asin(){139 var result = new UReal();140 result.setX(Math.asin(this.getX()));141 if (Math.abs(this.getX())!=1.0) result.setU(this.getU()/Math.sqrt((1 - this.getX()*this.getX())));142 else result.setU(this.getU());143 return result;144 }145 inverse(){//inverse (reciprocal)146 return new UReal(1.0, 0.0).divideBy(this);147 }148 floor() { //returns (i,u) with i the largest int such that (i,u)<=(x,u)149 return new UReal(Math.floor(this.getX()),this.getU());150 }151 round(){ //returns (i,u) with i the closest int to x152 return new UReal(Math.round(this.getX()),this.getU());153 }154 /*********155 * 156 * Type Operations with correlated variables157 */158 addCovariance(r, covariance){159 var result = new UReal();160 }161 minusCovariance(r, covariance){162 var result = new UReal();163 result.setX(this.getX() - r.getX());164 if (r==this) result.setU(0.0);165 else result.setU(Math.sqrt((this.getU()*this.getU()) + (r.getU()*r.getU() - 2 * covariance)));166 return result;167 168 }169 multCovariance(r, covariance){170 var result = new UReal();171 172 result.setX(this.getX() * r.getX());173 var a = r.getX()*r.getX()*this.getU()*this.getU();174 var b = this.getX()*this.getX()*r.getU()*r.getU();175 var c = 2 * this.getX() * r.getX() * covariance;176 result.setU(Math.sqrt(a + b + c));177 return result;178 }179 divideByCovariance(r, covariance){180 var result = new UReal();181 182 if (r==this) { // pathological cases x/x. Covariance should be 1!183 result.setX(1.0);184 result.setU(0.0);185 return result;186 }187 if (r.getU()==0.0) { // r is a scalar188 result.setX(this.getX() / r.getX());189 result.setU(this.getU() / r.getX()); // "this" may be a scalar, too190 return result;191 }192 if (this.getU()==0.0) { // "this is a scalar, r is not193 result.setX(this.getX() / r.getX());194 result.setU(this.getU()/(this.getX()*this.getX()));195 return result;196 }197 // both variables have associated uncertainty198 var a = this.getX() / r.getX();199// var b = (this.getX()*r.getU()*r.getU())/(Math.pow(r.getX(), 3));200 var b = 0.0; //(this.getX()*r.getU()*r.getU())/(r.getX()*r.getX()*r.getX());201 result.setX(a + b);202 203 var c = ((this.getU()*this.getU())/Math.abs(r.getX()));204// var d = (this.getX()*this.getX()*r.getU()*r.getU()) / Math.pow(r.getX(), 4);205 var d = (this.getX()*this.getX()*r.getU()*r.getU()) / (r.getX()*r.getX()*r.getX()*r.getX());206 var e = Math.abs((this.getX()*covariance)/(r.getX()*r.getX()*r.getX()));207 result.setU(Math.sqrt(c + d - e));208 209 return result;210 }211 /***212 * comparison operations213 * These operations, that return a boolean, have been superseded by the214 * corresponding UBoolean-returning operations -- except equals() and215 * distinct, since they have another meaning in Java!.216 */217// public boolean lt(UReal number) {218// // we compute the separation factor of the two distributions considered as a mixture219// // see http://faculty.washington.edu/tamre/IsHumanHeightBimodal.pdf220 // double s1 = this.getU();221 // double s2 = number.getU();222 // // non-UReal cases first223 // if ((s1==0.0) || (s2==0.0)) 224 // return (this.getX() < number.getX());225 // // if both numbers have some uncertainty226 // double r = (s1*s1)/(s2*s2);227 // double S = Math.sqrt(-2.0 + 3*r + 3*r*r - 2*r*r*r + 2*Math.pow(1-r+r*r, 1.5) )/(Math.sqrt(r)*(1+Math.sqrt(r)));228 // double separation = S*(s1+s2);229 // if (Double.isNaN(S)) // similar to s1==0 or s2==0. No way to compute the separation test 230 // return (this.getX() < number.getX());231 // double diff = number.getX() - this.getX();232 // return (diff > 0) && (diff > separation); // they are distinguishable233 // /** previous implementation234 // boolean result = false;235 // result = (this.getX() < number.getX()) &&236 // ((this.getX() + this.getU()) < (number.getX() - number.getU()));237 // return result; */238 // }239 240// public boolean le(UReal r) {241 // return (this.lt(r) || this.equals(r));242 // }243 244 // public boolean gt(UReal r) {245 // return r.lt(this);246 //}247 //248 //249 // public boolean ge(UReal r) {250 // return (this.gt(r) || this.equals(r));251 // }252 equals(number) {253 // we compute the separation factor of the two distributions considered as a mixture254 // see http://faculty.washington.edu/tamre/IsHumanHeightBimodal.pdf255 if (this == number) return true;256 257 var s1 = this.getU();258 var s2 = number.getU();259 // non-UReal cases first260 if ((s1==0)||(s2==0)) return this.getX() == number.getX();261 // if both numbers have some uncertainty262 var r = (s1*s1)/(s2*s2);263 var S = Math.sqrt(-2.0 + 3*r + 3*r*r - 2*r*r*r + 2*Math.pow(1-r+r*r, 1.5) )/(Math.sqrt(r)*(1+Math.sqrt(r)));264 if (isNaN(S)) // similar to s1==0 or s2==0. No way to compute the separation test 265 return (this.getX() == number.getX());266 var separation = S*(s1+s2);267 return Math.abs(number.getX() - this.getX()) <= separation; // they are indistinguishable268 /** previous implementation269 * 270 boolean result = false;271 double a = Math.max((this.getX() - this.getU()), (r.getX() - r.getU()));272 double b = Math.min((this.getX() + this.getU()), (r.getX() + r.getU()));273 result = (a <= b);274 return result;275 */276 }277 278 distinct(r){279 return !(this.equals(r));280 }281 // /***282 // * comparison operations WITH ZERO = UReal(0.0)283 // */284 //public boolean ltZero() {285 // return this.lt(new UReal());286 //}287 // 288 //public boolean leZero() {289 // return this.le(new UReal());290 //}291 //292 //public boolean gtZero() {293 // return this.gt(new UReal());294 //}295 // 296 //public boolean geZero() {297 // return this.ge(new UReal());298 //}299 //300 equalsZero(u) {301 return this.equals(new UReal(0.0,u));302 }303 304 distinctZero(u) {305 return this.distinct(new UReal(0.0,u));306 }307 308 //309 /*** 310 * FUZZY COMPARISON OPERATIONS311 * Assume UReal values (x,u) represent standard uncertainty values, i.e., they follow a Normal distribution312 * of mean x and standard deviation \sigma = u313 */314 315 /**316 * Let's start by some Gaussian operations317 // returns the cumulative normal distribution function (CNDF) for a standard normal: N(0,1)318 */319 CNDF(x) {320 // See http://stackoverflow.com/questions/442758/which-java-library-computes-the-cumulative-standard-normal-distribution-function321 // and https://lyle.smu.edu/~aleskovs/emis/sqc2/accuratecumnorm.pdf322 var neg = (x < 0.0) ? 1 : 0;323 if (neg == 1) 324 x *= -1.0;325 var k = (1.0 / ( 1.0 + 0.2316419 * x));326 var y = (((( 1.330274429 * k - 1.821255978) * k + 1.781477937) *327 k - 0.356563782) * k + 0.319381530) * k;328 y = 1.0 - 0.398942280401 * Math.exp(-0.5 * x * x) * y;329 return (1.0 - neg) * y + neg * (1.0 - y);330 }331 332 /** alternative implementation -- they both work equally well333 334 private static double CNDF(double z) {335 if (z < -8.0) return 0.0;336 if (z > 8.0) return 1.0;337 double sum = 0.0, term = z;338 for (int i = 3; sum + term != sum; i += 2) {339 sum = sum + term;340 term = term * z * z / i;341 }342 return 0.5 + sum * pdf(z);343 }344 */345 // returns pdf(x) = standard Gaussian pdf346 pdf(x) {347 return Math.exp(-x*x / 2) / Math.sqrt(2 * Math.PI);348 349 }350 pdfMeanStddev(z, mu, sigma){351 return pdf((x - mu) / sigma) / sigma;352 }353 // return cdf(z, mu, sigma) = Gaussian cdf with mean mu and stddev sigma354 CNDF(z, mu, sigma) {355 return CNDF((z - mu) / sigma);356 } 357 // Compute z such that cdf(z) = y via bisection search358 // taken from http://introcs.cs.princeton.edu/java/22library/Gaussian.java.html359 inverseCNDF(y) {360 return this.inverseCNDFBisection(y, 0.00000001, -8, 8);361 } 362 // bisection search363 inverseCNDFBisection(y, delta, lo, hi) {364 var mid = lo + (hi - lo) / 2;365 if (hi - lo < delta) return mid;366 if (CNDF(mid) > y) return this.inverseCNDFBisection(y, delta, lo, mid);367 else return this.inverseCNDFBisection(y, delta, mid, hi);368 }369 /***370 * Now we start with the fuzzy functions371 */372 /** 373 * This method returns three numbers (lt, eq, gt) with the probabilities that 374 * lt: this < number, 375 * eq: this = number376 * gt: this > number377 */378 calculate(number) {379 var r = new Result();380 var m1, m2, s1, s2;381 var swap = false;382 if (this.getX()<=number.getX()) { // m1 is less or equal than m2383 m1 = this.getX();384 m2 = number.getX();385 s1 = this.getU();386 s2 = number.getU();387 } else {388 m2 = this.getX();389 m1 = number.getX();390 s2 = this.getU();391 s1 = number.getU();392 swap = true; // to return values in the correct order393 }394 395 if ((s1==0.0)&&(s2==0.0)) { //comparison between Real numbers396 if (m1==m2) {397 r.lt = 0.0; r.eq = 1.0; r.gt = 0.0; 398 return r.check(swap); 399 }400 if (m1<m2) {401 r.lt = 1.0; r.eq = 0.0; r.gt = 0.0; 402 return r.check(swap); 403 }404 r.lt = 0.0; r.eq = 0.0; r.gt = 1.0; 405 return r.check(swap); 406 }407 if ((s1==0.0)) { // s1 is degenerated, s2 is not408 r.lt=1-CNDF(m1,m2,s2); r.eq=0.0;r.gt=CNDF(m1,m2,s2); 409 return r.check(swap); 410 }411 if ((s2==0.0)) { // s2 is degenerated, s1 is not412 r.lt=CNDF(m2,m1,s1); r.eq=0.0;r.gt=1-CNDF(m2,m1,s1); 413 return r.check(swap); 414 }415 // here none of the numbers are degenerated416 if (s1==s2) {417 var crossing = (m1 + m2)/2;418 r.lt = CNDF(crossing,m1,s1)-CNDF(crossing,m2,s2);419// r.gt = 1-CNDF(crossing,m1,s1)-(1-CNDF(crossing,m2,s2));420// r.eq = CNDF(crossing,m2,s2)+1.0-CNDF(crossing,m1,s1);421 r.gt = 0.0; //1-CNDF(crossing,m1,s1)-(1-CNDF(crossing,m2,s2));422 r.eq = 1.0 - (r.gt + r.lt); //CNDF(crossing,m2,s2)+1.0-CNDF(crossing,m1,s1); 423 return r.check(swap); 424 }425 else {426 var crossing1 = 427 -(-m2*s1*s1 + 428 m1*s2*s2 +429 s1*s2*Math.sqrt((m1-m2)*(m1-m2)-2.0*(s1*s1-s2*s2)*Math.log(s2/s1))430 )/(s1*s1 - s2*s2); 431 var crossing2 = 432 (m2*s1*s1 - 433 m1*s2*s2 +434 s1*s2*Math.sqrt(((m1-m2)*(m1-m2)-2.0*(s1*s1-s2*s2)*Math.log(s2/s1))435 ))/(s1*s1 - s2*s2);436 var c1 = Math.min(crossing1, crossing2);437 var c2 = Math.max(crossing1, crossing2);438// System.out.println("crossing1 = "+c1);439// System.out.println("crossing2 = "+c2);440 if (s1<s2) {441 r.gt = CNDF(c1,m2,s2)-CNDF(c1,m1,s1);//+CNDF(c2,m1,s1)-CNDF(c2,m2,s2);442 r.lt = 1.0-CNDF(c2,m2,s2)-(1.0-CNDF(c2,m1,s1));443 r.eq = CNDF(c1,m1,s1) + (1.0-CNDF(c2,m1,s1))444 + CNDF(c2,m2,s2) - CNDF(c1,m2,s2);445 }446 else{447 r.lt = CNDF(c1,m1,s1)-CNDF(c1,m2,s2);//+CNDF(c2,m2,s2)-CNDF(c2,m1,s1);448 r.gt = 1.0-CNDF(c2,m1,s1)-(1.0-CNDF(c2,m2,s2));449 r.eq = CNDF(c1,m2,s2) + (1.0-CNDF(c2,m2,s2))450 + CNDF(c2,m1,s1) - CNDF(c1,m1,s1);451 }452 return r.check(swap); 453 } 454 }455 456 uEquals(number) {457 var r = this.calculate(number);458 return new UBoolean(true,r.eq);459 }460 uDistinct(r) {461 return this.uEquals(r).not();462 }463 lt(number) {464 var r = this.calculate(number);465 return new UBoolean(true,r.lt);466 }467 468 le(number) {469 var r = this.calculate(number);470 return new UBoolean(true, r.lt+r.eq);471 }472 gt(number) {473 var r = this.calculate(number);474 return new UBoolean (true, r.gt);475 }476 477 ge(number) {478 var r = this.calculate(number);479 return new UBoolean(true,r.gt+r.eq);480 }481 482 /*** 483 * END OF FUZZY COMPARISON OPERATIONS484 */485 /*** 486 * FUZZY COMPARISON OPERATIONS WITH ZERO=UReal(0.0,0.0)487 * Assume UReal values (x,u) represent standard uncertainty values, i.e., they follow a Normal distribution488 * of mean x and standard deviation \sigma = u489 */490 uEqualsZero(u) {491 return this.uEquals(new UReal(0.0,u));492 }493 uDistinctZero(u) {494 return this.uDistinct(new UReal(0.0,u));495 }496 ltZero() {497 return this.lt(new UReal());498 }499 500 leZero() {501 return this.le(new UReal());502 }503 gtZero() {504 return this.gt(new UReal());505 }506 geZero() {507 return this.ge(new UReal());508 }509 510 /*** 511 * END OF FUZZY COMPARISON OPERATIONS WITH ZERO512 */513 514 compareTo(other) {515 if (this.equals(other)) return 0;516 if (this.lt(other).toBoolean()) return -1;517 return 1;518 }519 min(r) {520 if (r.lt(this).toBoolean()) return new UReal(r.getX(),r.getU()); 521 return new UReal(this.getX(),this.getU());522 }523 max(r) {524 //if (r>this) r; else this;525 if (r.gt(this).toBoolean()) return new UReal(r.getX(),r.getU());526 return new UReal(this.getX(),this.getU());527 }528 529 /******530 * Conversions531 */532 533 toString() {534 return "(" + this.x + "," + this.u + ")";535 }536 537 toInteger(){ //538 return Math.floor(this.getX());539 }540 541 toReal() { 542 return this.getX();543 }544 /* TODO implement other UClasses545 toUInteger() {546 UInteger r = new UInteger();547 r.x=(int)Math.floor(this.getX());548 r.u=Math.sqrt((this.u*this.u)+(this.x-r.x)*(this.x-r.x));549 return r;550 }551 552 public UInteger toBestUInteger() {553 UInteger r = new UInteger();554 r.x=(int)Math.round(this.getX());555 r.u=Math.sqrt((this.u*this.u)+(this.x-r.x)*(this.x-r.x));556 return r; 557 }558 public UUnlimitedNatural toUUnlimitedNatural() {559 UUnlimitedNatural r = new UUnlimitedNatural();560 r.x=(int)Math.floor(this.getX());561 r.u=Math.sqrt((this.u*this.u)+(this.x-r.x)*(this.x-r.x));562 return r;563 }564 public UUnlimitedNatural toBestUUnlimitedNatural() {565 UUnlimitedNatural r = new UUnlimitedNatural();566 r.x=(int)Math.round(this.getX());567 r.u=Math.sqrt((this.u*this.u)+(this.x-r.x)*(this.x-r.x));568 return r;569 }570 */571 /**572 * Other Methods 573 */574 hashcode(){ //required for equals()575 return Math.round(x);576 }577 clone() {578 return new UReal(this.getX(),this.getU());579 }580}...
Using AI Code Generation
1var BestBuy = require('./bestbuy.js');2var bestbuy = new BestBuy();3 if (err) {4 console.log(err);5 } else {6 console.log(data);7 }8});9var request = require('request');10var cheerio = require('cheerio');11function BestBuy() {12 this.getU = function(url, callback) {13 request(url, function(err, response, body) {14 if (err) {15 callback(err);16 } else {17 var $ = cheerio.load(body);18 var data = [];19 var products = $('.sku-item');20 products.each(function() {21 var product = $(this);22 var name = product.find('.sku-title a').text();23 var price = product.find('.priceView-customer-price').text();24 data.push({25 });26 });27 callback(null, data);28 }29 });30 }31}32module.exports = BestBuy;
Using AI Code Generation
1var BestTimeToBuyAndSellStock = require("./BestTimeToBuyAndSellStock.js");2var myBestTimeToBuyAndSellStock = new BestTimeToBuyAndSellStock();3var myArray = [7, 1, 5, 3, 6, 4];4var maxProfit = myBestTimeToBuyAndSellStock.getU(myArray);5console.log("Max profit is: " + maxProfit);6console.log("Max profit is: " + maxProfit);7class BestTimeToBuyAndSellStock {8 getU(prices) {9 let maxProfit = 0;10 for (let i = 0; i < prices.length; i++) {11 for (let j = i + 1; j < prices.length; j++) {12 if (prices[j] > prices[i]) {13 let profit = prices[j] - prices[i];14 if (profit > maxProfit) {15 maxProfit = profit;16 }17 }18 }19 }20 return maxProfit;21 }22}23module.exports = BestTimeToBuyAndSellStock;24const BestTimeToBuyAndSellStock = require("./BestTimeToBuyAndSellStock");25test("getU([7, 1, 5, 3, 6, 4]) should return 5", () => {26 let myBestTimeToBuyAndSellStock = new BestTimeToBuyAndSellStock();27 expect(myBestTimeToBuyAndSellStock.getU([7, 1, 5, 3, 6, 4])).toBe(5);28});29test("getU([7, 6, 4, 3, 1]) should return 0", () => {30 let myBestTimeToBuyAndSellStock = new BestTimeToBuyAndSellStock();
Using AI Code Generation
1var BestBuy = require('./BestBuy.js');2var bestBuy = new BestBuy();3var url = bestBuy.getU();4var BestBuy = require('./BestBuy.js');5var bestBuy = new BestBuy();6var url = bestBuy.getU();7var BestBuy = require('./BestBuy.js');8var bestBuy = new BestBuy();9var url = bestBuy.getU();10var BestBuy = require('./BestBuy.js');11var bestBuy = new BestBuy();12var url = bestBuy.getU();13var BestBuy = require('./BestBuy.js');14var bestBuy = new BestBuy();15var url = bestBuy.getU();16var BestBuy = require('./BestBuy.js');17var bestBuy = new BestBuy();18var url = bestBuy.getU();19var BestBuy = require('./BestBuy.js');20var bestBuy = new BestBuy();21var url = bestBuy.getU();22var BestBuy = require('./BestBuy.js');23var bestBuy = new BestBuy();24var url = bestBuy.getU();25var BestBuy = require('./BestBuy.js');26var bestBuy = new BestBuy();27var url = bestBuy.getU();28var BestBuy = require('./BestBuy.js');29var bestBuy = new BestBuy();30var url = bestBuy.getU();31var BestBuy = require('./BestBuy.js');32var bestBuy = new BestBuy();33var url = bestBuy.getU();34var BestBuy = require('./BestBuy.js');35var bestBuy = new BestBuy();36var url = bestBuy.getU();37var BestBuy = require('./BestBuy.js');38var bestBuy = new BestBuy();39var url = bestBuy.getU();
Using AI Code Generation
1var BestBuy = require('./bestbuy');2var bb = new BestBuy();3 console.log(data);4});5var request = require('request');6var cheerio = require('cheerio');7var BestBuy = function() {8 this.getU = function(url, callback) {9 request(url, function(error, response, body) {10 if (!error && response.statusCode == 200) {11 var $ = cheerio.load(body);12 var data = [];13 $('div.list-item').each(function(i, element) {14 var $element = $(element);15 var $title = $element.find('h4 a');16 var $price = $element.find('div.price');17 var $img = $element.find('img');18 var $rating = $element.find('div.star-rating');19 var $review = $element.find('div.review-count');20 data[i] = {21 title: $title.text(),22 price: $price.text(),23 img: $img.attr('src'),24 rating: $rating.attr('data-rating'),25 review: $review.text()26 };27 });28 callback(data);29 }30 });31 };32};33module.exports = BestBuy;
Using AI Code Generation
1var xhr = new XMLHttpRequest();2function handleResponse() {3 if (xhr.readyState == 4) {4 if (xhr.status == 200) {5 var jsonStr = xhr.responseText;6 var jsonObj = JSON.parse(jsonStr);7 var products = jsonObj.products;8 var tbody = document.getElementById("products");9 for (var i = 0; i < products.length; i++) {10 var product = products[i];11 var row = document.createElement("tr");12 var nameCell = document.createElement("td");13 nameCell.innerHTML = product.name;14 row.appendChild(nameCell);15 var priceCell = document.createElement("td");16 priceCell.innerHTML = product.regularPrice;17 row.appendChild(priceCell);18 tbody.appendChild(row);19 }20 }21 else {22 var tbody = document.getElementById("products");23 var row = document.createElement("tr");24 var cell = document.createElement("td");
Using AI Code Generation
1var bestbuy = require('bestbuy')('9yf6jy7f9w8z8m7f8jw6h5m6');2var bb = bestbuy.products('(search=iphone)', {show: 'sku,name,salePrice,regularPrice,shortDescription,thumbnailImage,mediumImage,longDescription,manufacturer,productUrl,customerReviewAverage,customerReviewCount,addToCartUrl,inStoreAvailability,onlineAvailability',pageSize: 25,page: 1,sort: 'salePrice.asc'}).getU(function(err, data) {3var fs = require('fs');4var stream = fs.createWriteStream("my_file.txt");5stream.once('open', function(fd) {6stream.write(data);7stream.end();8});9});10var bestbuy = require('bestbuy')('9yf6jy7f9w8z8m7f8jw6h5m6');11var bb = bestbuy.products('(search=iphone)', {show: 'sku,name,salePrice,regularPrice,shortDescription,thumbnailImage,mediumImage,longDescription,manufacturer,productUrl,customerReviewAverage,customerReviewCount,addToCartUrl,inStoreAvailability,onlineAvailability',pageSize: 25,page: 1,sort: 'salePrice.asc'}).get(function(err, data) {12var fs = require('fs');13var stream = fs.createWriteStream("my_file.txt");14stream.once('open', function(fd) {15stream.write(data);16stream.end();17});18});19var bestbuy = require('bestbuy')('9yf6jy7f9w8z8m7f8jw6h5m6');20var bb = bestbuy.products('(search=iphone)', {show: 'sku,name,salePrice,regularPrice,shortDescription,thumbnailImage,mediumImage,longDescription,manufacturer,productUrl,customerReviewAverage,customerReviewCount,addToCartUrl,inStoreAvailability,onlineAvailability',pageSize: 25,page: 1,sort
Automation Testing Tutorials
Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.
LambdaTest Learning Hubs:
- JUnit Tutorial
- TestNG Tutorial
- Webdriver Tutorial
- WebDriverIO Tutorial
- Protractor Tutorial
- Selenium 4 Tutorial
- Jenkins Tutorial
- NUnit Tutorial
- Jest Tutorial
- Playwright Tutorial
- Cypress Tutorial
- PyTest Tutorial
YouTube
You could also refer to video tutorials over LambdaTest YouTube channel to get step by step demonstration from industry experts.
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