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added implementation for StreamPractice and CandidateValidator
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package practice; | ||
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public class CandidateValidator { | ||
//write your code here | ||
import java.util.function.Predicate; | ||
import model.Candidate; | ||
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public class CandidateValidator implements Predicate<Candidate> { | ||
private static final String REGEX_DASH = "-"; | ||
private static final int FROM_YEAR_INDEX = 0; | ||
private static final int TO_YEAR_INDEX = 1; | ||
private static final int MIN_AGE = 35; | ||
private static final String UKRAINIAN = "Ukrainian"; | ||
private static final int MIN_TOTAL_YEARS = 10; | ||
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@Override | ||
public boolean test(Candidate candidate) { | ||
String[] periods = candidate.getPeriodsInUkr().split(REGEX_DASH); | ||
int totalYears = Integer.parseInt(periods[TO_YEAR_INDEX]) | ||
- Integer.parseInt(periods[FROM_YEAR_INDEX]); | ||
return candidate.getAge() >= MIN_AGE | ||
&& candidate.isAllowedToVote() | ||
&& candidate.getNationality().equals(UKRAINIAN) | ||
&& totalYears >= MIN_TOTAL_YEARS; | ||
} | ||
} |
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package practice; | ||
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import java.util.Collections; | ||
import java.util.Arrays; | ||
import java.util.Collection; | ||
import java.util.List; | ||
import java.util.stream.Collectors; | ||
import java.util.stream.IntStream; | ||
import model.Candidate; | ||
import model.Cat; | ||
import model.Person; | ||
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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 REGEX_COMMA = ","; | ||
private static final String NO_SUCH_DATA_MESSAGE = "Can't get min value from list: "; | ||
private CandidateValidator candidateValidator = new CandidateValidator(); | ||
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public int findMinEvenNumber(List<String> numbers) { | ||
return 0; | ||
return numbers.stream() | ||
.map(s -> s.split(REGEX_COMMA)) | ||
.flatMap(Arrays::stream) | ||
.mapToInt(Integer::valueOf) | ||
.filter(i -> i % 2 == 0) | ||
.min() | ||
.orElseThrow(() -> new RuntimeException( | ||
NO_SUCH_DATA_MESSAGE + Collectors.toList())); | ||
} | ||
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/** | ||
* 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; | ||
return IntStream.range(0, numbers.size()) | ||
.map(i -> (i % 2 == 1) ? numbers.get(i) - 1 : numbers.get(i)) | ||
.filter(num -> num % 2 != 0) | ||
.mapToDouble(Double::valueOf) | ||
.average() | ||
.orElseThrow(); | ||
} | ||
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/** | ||
* 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(p -> p.getSex().equals(Person.Sex.MAN)) | ||
.filter(p -> p.getAge() >= fromAge) | ||
.filter(p -> p.getAge() <= toAge) | ||
.collect(Collectors.toList()); | ||
} | ||
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/** | ||
* 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(); | ||
return peopleList.stream() | ||
.filter(p -> p.getAge() >= fromAge) | ||
.filter(p -> p.getSex().equals(Person.Sex.WOMAN) && p.getAge() <= femaleToAge | ||
|| p.getSex().equals(Person.Sex.MAN) && p.getAge() <= maleToAge) | ||
.collect(Collectors.toList()); | ||
} | ||
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/** | ||
* 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(p -> p.getSex().equals(Person.Sex.WOMAN)) | ||
.filter(p -> p.getAge() >= femaleAge) | ||
.map(Person::getCats) | ||
.flatMap(Collection::stream) | ||
.map(Cat::getName) | ||
.collect(Collectors.toList()); | ||
} | ||
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/** | ||
* 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(); | ||
return candidates.stream() | ||
.filter(candidateValidator) | ||
.map(Candidate::getName) | ||
.sorted() | ||
.collect(Collectors.toList()); | ||
} | ||
} |