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stream-github-practice solution #924

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25 changes: 23 additions & 2 deletions src/main/java/practice/CandidateValidator.java
Original file line number Diff line number Diff line change
@@ -1,5 +1,26 @@
package practice;

public class CandidateValidator {
//write your code here
import java.util.Arrays;
import java.util.function.Predicate;
import model.Candidate;

public class CandidateValidator implements Predicate<Candidate> {
private static final String SEPARATION_MARK = "-";
private static final String NATIONALITY = "Ukrainian";
private static final int MIN_AGE = 35;
private static final int MIN_YEARS_IN_UKRAINE = 10;

@Override
public boolean test(Candidate candidate) {
String[] splitCandidate = candidate.getPeriodsInUkr().split(SEPARATION_MARK);

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Find better name.

int yearsInUkr = Arrays.stream(splitCandidate)
.map(String::trim)
.map(Integer::parseInt)
.reduce((a, b) -> b - a)
.orElse(0);

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Can we make it with substruction?

return candidate.getAge() >= MIN_AGE
&& candidate.isAllowedToVote()
&& candidate.getNationality().equals(NATIONALITY)

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Suggested change
&& candidate.getNationality().equals(NATIONALITY)
&& NATIONALITY.equals(candidate.getNationality())

&& yearsInUkr >= MIN_YEARS_IN_UKRAINE;
}
}
110 changes: 56 additions & 54 deletions src/main/java/practice/StreamPractice.java
Original file line number Diff line number Diff line change
@@ -1,80 +1,82 @@
package practice;

import java.util.Collections;
import java.util.Arrays;
import java.util.Collection;
import java.util.List;
import java.util.NoSuchElementException;
import java.util.function.Predicate;
import java.util.stream.Collectors;
import java.util.stream.IntStream;
import model.Candidate;
import model.Cat;
import model.Person;

public class StreamPractice {
/**
* Given list of strings where each element contains 1+ numbers:
* input = {"5,30,100", "0,22,7", ...}
* return min integer value. One more thing - we're interested in even numbers.
* If there is no needed data throw RuntimeException with message
* "Can't get min value from list: < Here is our input 'numbers' >"
*/
private static final String MIN_VALUE_NOT_FOUND = "Can't get min value from list: ";
private static final String AVERAGE_VALUE_NOT_FOUND = "Can't get average value from list: ";

public int findMinEvenNumber(List<String> numbers) {
return 0;
return numbers.stream()
.map(split -> split.split(","))

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Make constant for comma.

.flatMap(Arrays::stream)
.map(Integer::parseInt)
.filter(num -> num % 2 == 0)
.sorted()
.findFirst()

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Suggested change
.sorted()
.findFirst()
.min()

.orElseThrow(() -> new RuntimeException(MIN_VALUE_NOT_FOUND + numbers));
}

/**
* Given a List of Integer numbers,
* return the average of all odd numbers from the list or throw NoSuchElementException.
* But before that subtract 1 from each element on an odd position (having the odd index).
*/
public Double getOddNumsAverage(List<Integer> numbers) {
return 0D;
List<Integer> filterListNumbers = IntStream.range(0, numbers.size())
.mapToObj(i -> i % 2 == 1 ? numbers.get(i) - 1 : numbers.get(i))
.toList();
return filterListNumbers.stream()
.filter(num -> num % 2 == 1)

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Let's make it with one stream.
Dont use one-letter names.
Avoid duplication of code that checks even or odd is a number.

.mapToDouble(Integer::doubleValue)
.average()
.orElseThrow(() -> new NoSuchElementException(AVERAGE_VALUE_NOT_FOUND + numbers));

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If you need to throw exception when no result found after stream execution sometimes get()/getAsDouble() may help, try to google what does it do.

}

/**
* Given a List of `Person` instances (having `name`, `age` and `sex` fields),
* for example, `Arrays.asList( new Person(«Victor», 16, Sex.MAN),
* new Person(«Helen», 42, Sex.WOMAN))`,
* select from the List only men whose age is from `fromAge` to `toAge` inclusively.
* <p>
* Example: select men who can be recruited to army (from 18 to 27 years old inclusively).
*/
public List<Person> selectMenByAge(List<Person> peopleList, int fromAge, int toAge) {
return Collections.emptyList();
return peopleList.stream()
.filter(person -> person.getAge() >= fromAge
&& person.getAge() <= toAge
&& person.getSex() == Person.Sex.MAN)
.toList();

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I think here you could split all statements in different filters to make it look less complicated

}

/**
* Given a List of `Person` instances (having `name`, `age` and `sex` fields),
* for example, `Arrays.asList( new Person(«Victor», 16, Sex.MAN),
* new Person(«Helen», 42, Sex.WOMAN))`,
* select from the List only people whose age is from `fromAge` and to `maleToAge` (for men)
* or to `femaleToAge` (for women) inclusively.
* <p>
* Example: select people of working age
* (from 18 y.o. and to 60 y.o. for men and to 55 y.o. for women inclusively).
*/
public List<Person> getWorkablePeople(int fromAge, int femaleToAge,
int maleToAge, List<Person> peopleList) {
return Collections.emptyList();
Predicate<Person> personPredicate = person -> {
if (person.getAge() >= fromAge) {
if (person.getSex() == Person.Sex.WOMAN && person.getAge() <= femaleToAge) {
return true;
}
return person.getSex() == Person.Sex.MAN && person.getAge() <= maleToAge;
}
return false;

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Make variables to avoid double getAge() and getSex() methods calls
Pay attention to what is a better way to compare Enum values: equals() vs == ?

};
return peopleList.stream()
.filter(personPredicate)
.toList();
}

/**
* Given a List of `Person` instances (having `name`, `age`, `sex` and `cats` fields,
* and each `Cat` having a `name` and `age`),
* return the names of all cats whose owners are women from `femaleAge` years old inclusively.
*/
public List<String> getCatsNames(List<Person> peopleList, int femaleAge) {
return Collections.emptyList();

return peopleList.stream()
.filter(women -> women.getSex() == Person.Sex.WOMAN && women.getAge() >= femaleAge)

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.map(Person::getCats)
.flatMap(Collection::stream)
.map(Cat::getName)
.toList();
}

/**
* Your help with a election is needed. Given list of candidates, where each element
* has Candidate.class type.
* Check which candidates are eligible to apply for president position and return their
* names sorted alphabetically.
* The requirements are: person should be older than 35 years, should be allowed to vote,
* have nationality - 'Ukrainian'
* and live in Ukraine for 10 years. For the last requirement use field periodsInUkr,
* which has following view: "2002-2015"
* We want to reuse our validation in future, so let's write our own impl of Predicate
* parametrized with Candidate in CandidateValidator.
*/
public List<String> validateCandidates(List<Candidate> candidates) {
return Collections.emptyList();
CandidateValidator candidateValidator = new CandidateValidator();

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It's better when you create validator on class level, not when method calls

return candidates.stream()
.filter(candidateValidator)
.map(Candidate::getName)
.sorted()
.collect(Collectors.toList());

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Suggested change
.collect(Collectors.toList());
.toList();

}
}
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