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import java.util.List;
import java.util.function.Consumer;
import java.util.function.Function;
import java.util.Comparator;
import java.util.function.Predicate;
import java.lang.Iterable;
import java.time.chrono.IsoChronology;
public class RosterTest {
interface CheckPerson {
boolean test(Person p);
}
// Approach 1: Create Methods that Search for Persons that Match One
// Characteristic
public static void printPersonsOlderThan(List<Person> roster, int age) {
for (Person p : roster) {
if (p.getAge() >= age) {
p.printPerson();
}
}
}
// Approach 2: Create More Generalized Search Methods
public static void printPersonsWithinAgeRange(
List<Person> roster, int low, int high) {
for (Person p : roster) {
if (low <= p.getAge() && p.getAge() < high) {
p.printPerson();
}
}
}
// Approach 3: Specify Search Criteria Code in a Local Class
// Approach 4: Specify Search Criteria Code in an Anonymous Class
// Approach 5: Specify Search Criteria Code with a Lambda Expression
public static void printPersons(
List<Person> roster, CheckPerson tester) {
for (Person p : roster) {
if (tester.test(p)) {
p.printPerson();
}
}
}
// Approach 6: Use Standard Functional Interfaces with Lambda Expressions
public static void printPersonsWithPredicate(
List<Person> roster, Predicate<Person> tester) {
for (Person p : roster) {
if (tester.test(p)) {
p.printPerson();
}
}
}
// Approach 7: Use Lambda Expressions Throughout Your Application
public static void processPersons(
List<Person> roster,
Predicate<Person> tester,
Consumer<Person> block) {
for (Person p : roster) {
if (tester.test(p)) {
block.accept(p);
}
}
}
// Approach 7, second example
public static void processPersonsWithFunction(
List<Person> roster,
Predicate<Person> tester,
Function<Person, String> mapper,
Consumer<String> block) {
for (Person p : roster) {
if (tester.test(p)) {
String data = mapper.apply(p);
block.accept(data);
}
}
}
// Approach 8: Use Generics More Extensively
public static <X, Y> void processElements(
Iterable<X> source,
Predicate<X> tester,
Function<X, Y> mapper,
Consumer<Y> block) {
for (X p : source) {
if (tester.test(p)) {
Y data = mapper.apply(p);
block.accept(data);
}
}
}
public static void main(String... args) {
List<Person> roster = Person.createRoster();
for (Person p : roster) {
p.printPerson();
}
// Approach 1: Create Methods that Search for Persons that Match One
// Characteristic
System.out.println("Persons older than 20:");
printPersonsOlderThan(roster, 20);
System.out.println();
// Approach 2: Create More Generalized Search Methods
System.out.println("Persons between the ages of 14 and 30:");
printPersonsWithinAgeRange(roster, 14, 30);
System.out.println();
// Approach 3: Specify Search Criteria Code in a Local Class
System.out.println("Persons who are eligible for Selective Service:");
class CheckPersonEligibleForSelectiveService implements CheckPerson {
public boolean test(Person p) {
return p.getGender() == Person.Sex.MALE
&& p.getAge() >= 18
&& p.getAge() <= 25;
}
}
printPersons(
roster, new CheckPersonEligibleForSelectiveService());
System.out.println();
// Approach 4: Specify Search Criteria Code in an Anonymous Class
System.out.println("Persons who are eligible for Selective Service " +
"(anonymous class):");
printPersons(
roster,
new CheckPerson() {
public boolean test(Person p) {
return p.getGender() == Person.Sex.MALE
&& p.getAge() >= 18
&& p.getAge() <= 25;
}
}
);
System.out.println();
// Approach 5: Specify Search Criteria Code with a Lambda Expression
System.out.println("Persons who are eligible for Selective Service " +
"(lambda expression):");
printPersons(
roster,
(Person p) -> p.getGender() == Person.Sex.MALE
&& p.getAge() >= 18
&& p.getAge() <= 25
);
System.out.println();
// Approach 6: Use Standard Functional Interfaces with Lambda
// Expressions
System.out.println("Persons who are eligible for Selective Service " +
"(with Predicate parameter):");
printPersonsWithPredicate(
roster,
p -> p.getGender() == Person.Sex.MALE
&& p.getAge() >= 18
&& p.getAge() <= 25
);
System.out.println();
// Approach 7: Use Lamba Expressions Throughout Your Application
System.out.println("Persons who are eligible for Selective Service " +
"(with Predicate and Consumer parameters):");
processPersons(
roster,
p -> p.getGender() == Person.Sex.MALE
&& p.getAge() >= 18
&& p.getAge() <= 25,
p -> p.printPerson()
);
System.out.println();
// Approach 7, second example
System.out.println("Persons who are eligible for Selective Service " +
"(with Predicate, Function, and Consumer parameters):");
processPersonsWithFunction(
roster,
p -> p.getGender() == Person.Sex.MALE
&& p.getAge() >= 18
&& p.getAge() <= 25,
p -> p.getEmailAddress(),
email -> System.out.println(email)
);
System.out.println();
// Approach 8: Use Generics More Extensively
System.out.println("Persons who are eligible for Selective Service " +
"(generic version):");
processElements(
roster,
p -> p.getGender() == Person.Sex.MALE
&& p.getAge() >= 18
&& p.getAge() <= 25,
p -> p.getEmailAddress(),
email -> System.out.println(email)
);
System.out.println();
// Approach 9: Use Bulk Data Operations That Accept Lambda Expressions
// as Parameters
System.out.println("Persons who are eligible for Selective Service " +
"(with bulk data operations):");
roster
.stream()
.filter(
p -> p.getGender() == Person.Sex.MALE
&& p.getAge() >= 18
&& p.getAge() <= 25)
.map(p -> p.getEmailAddress())
.forEach(email -> System.out.println(email));
}
}