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.