Implementing the method “map()” Program plan: Filename: “Pair.java” This code snippet creates a class “Pair”. In the code, Define a class “Pair”. Declare the class members “first” and “second”. Define the constructor “Pair()”. Set the class members. Define the getter “getFirst()”. Return the value of “first”. Define the getter “getSecond()”. Return the value of “second”. Filename: “ListUtil.java” This code snippet creates an interface “ListUtil”. In the code, Import the required packages. Define a class “ListUtil”. Define the generic method “map()”. Create a list “result” of type “List<T>”. Iterate a “for” loop, Add elements to “result”. Return “result”. Filename: “MapTester.java” This code snippet creates a class “MapTester”. In the code, Define a class “MapTester”. Define the “main” method. Define a string array “words”. Create a list “wordsList”. Call the method “map()” and set the result to “sizes”. Create an iterator “iter”. Print the token of “wordsList” using “iter”. Print “first=second”. Print the expected token. Print the token of “wordsList” using “iter”. Print “first=second”. Print the expected token. Create an iterator “intItr”. Print the token of “wordsList” using “iter”. Print “first=second”. Print the expected token. Print the token of “wordsList” using “iter”. Print “first=second”. Print the expected token.

Question

Want to see the full answer?

Answer 1

Question

Chapter 18, Problem 8PP

Program Plan Intro

Implementing the method “map()”

Program plan:

Filename: “Pair.java”

This code snippet creates a class “Pair”. In the code,

Define a class “Pair”.

Declare the class members “first” and “second”.

Define the constructor “Pair()”.

Set the class members.

Define the getter “getFirst()”.

Return the value of “first”.

Define the getter “getSecond()”.

Return the value of “second”.

Filename: “ListUtil.java”

This code snippet creates an interface “ListUtil”. In the code,

Import the required packages.

Define a class “ListUtil”.

Define the generic method “map()”.

Create a list “result” of type “List<T>”.

Iterate a “for” loop,

Add elements to “result”.

Return “result”.

Filename: “MapTester.java”

This code snippet creates a class “MapTester”. In the code,

Define a class “MapTester”.

Define the “main” method.

Define a string array “words”.

Create a list “wordsList”.

Call the method “map()” and set the result to “sizes”.

Create an iterator “iter”.

Print the token of “wordsList” using “iter”.

Print “first=second”.

Print the expected token.

Print the token of “wordsList” using “iter”.

Print “first=second”.

Print the expected token.

Create an iterator “intItr”.

Print the token of “wordsList” using “iter”.

Print “first=second”.

Print the expected token.

Print the token of “wordsList” using “iter”.

Print “first=second”.

Print the expected token.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Students have asked these similar questions

using r language for integration theta = integral 0 to infinity (x^4)*e^(-x^2)/2 dx (1) use the density function of standard normal distribution N(0,1) f(x) = 1/sqrt(2pi) * e^(-x^2)/2 -infinity <x<infinity as importance function and obtain an estimate theta 1 for theta set m=100 for the estimate whatt is the estimate theta 1? (2)use the density function of gamma (r=5 λ=1/2)distribution f(x)=λ^r/Γ(r) x^(r-1)e^(-λx) x>=0 as importance function and obtain an estimate theta 2 for theta set m=1000 fir the estimate what is the estimate theta2? (3) use simulation (repeat 1000 times) to estimate the variance of the estimates theta1 and theta 2 which one has smaller variance?

using r language A continuous random variable X has density function f(x)=1/56(3x^2+4x^3+5x^4).0<=x<=2 (1) secify the density g of the random variable Y you find for the acceptance rejection method. (2) what is the value of c you choose to use for the acceptance rejection method (3) use the acceptance rejection method to generate a random sample of size 1000 from the distribution of X .graph the density histogram of the sample and compare it with the density function f(x)

using r language a continuous random variable X has density function f(x)=1/4x^3e^-(pi/2)^4,x>=0 derive the probability inverse transformation F^(-1)x where F(x) is the cdf of the random variable X