Java DoublePredicate Interface

Last modified: April 16, 2025

The java.util.function.DoublePredicate interface represents a predicate (boolean-valued function) of one double-valued argument. It is a functional interface with a single abstract method test.

DoublePredicate is part of Java’s functional programming utilities added in Java 8. It is specialized for double primitive type to avoid boxing overhead. The interface provides default methods for logical operations.

DoublePredicate Interface Overview

DoublePredicate contains one abstract method and three default methods. The key method test evaluates the predicate on the given argument. Other methods enable logical combinations of predicates.

@FunctionalInterface public interface DoublePredicate { boolean test(double value);

default DoublePredicate and(DoublePredicate other);
default DoublePredicate negate();
default DoublePredicate or(DoublePredicate other);

}

The code above shows the structure of DoublePredicate interface. It operates on primitive double values. The interface is annotated with @FunctionalInterface to indicate its single abstract method nature.

Basic DoublePredicate Usage

The simplest way to use DoublePredicate is with lambda expressions. We define the condition to test against double values. The example checks if numbers are positive.

Main.java

package com.zetcode;

import java.util.function.DoublePredicate;

public class Main {

public static void main(String[] args) {

    // Define a predicate that tests if a number is positive
    DoublePredicate isPositive = n -> n > 0;
    
    // Test the predicate
    System.out.println("5.0 is positive: " + isPositive.test(5.0));
    System.out.println("-3.2 is positive: " + isPositive.test(-3.2));
    System.out.println("0.0 is positive: " + isPositive.test(0.0));
}

}

This example demonstrates basic DoublePredicate usage with lambda expression. The isPositive predicate tests if a number is greater than zero. We apply it to different values to see the boolean results.

Combining Predicates with AND

The and method allows combining two predicates with logical AND. Both predicates must evaluate to true for the combined predicate to return true.

Main.java

package com.zetcode;

import java.util.function.DoublePredicate;

public class Main {

public static void main(String[] args) {

    // Define individual predicates
    DoublePredicate isPositive = n -> n > 0;
    DoublePredicate isWholeNumber = n -> n == Math.floor(n);
    
    // Combine with AND
    DoublePredicate isPositiveWhole = isPositive.and(isWholeNumber);
    
    System.out.println("5.0 is positive whole: " + isPositiveWhole.test(5.0));
    System.out.println("3.14 is positive whole: " + isPositiveWhole.test(3.14));
    System.out.println("-2.0 is positive whole: " + isPositiveWhole.test(-2.0));
}

}

This example shows predicate combination with and. The combined predicate checks if a number is both positive and a whole number. Only numbers that satisfy both conditions return true.

Combining Predicates with OR

The or method combines two predicates with logical OR. Either predicate evaluating to true makes the combined predicate return true.

Main.java

package com.zetcode;

import java.util.function.DoublePredicate;

public class Main {

public static void main(String[] args) {

    // Define individual predicates
    DoublePredicate isNegative = n -> n < 0;
    DoublePredicate isGreaterThan100 = n -> n > 100;
    
    // Combine with OR
    DoublePredicate isNegativeOrLarge = isNegative.or(isGreaterThan100);
    
    System.out.println("-5.0 matches: " + isNegativeOrLarge.test(-5.0));
    System.out.println("150.0 matches: " + isNegativeOrLarge.test(150.0));
    System.out.println("50.0 matches: " + isNegativeOrLarge.test(50.0));
}

}

This example demonstrates predicate combination with or. The combined predicate checks if a number is either negative or greater than 100. Numbers satisfying either condition return true.

Negating a Predicate

The negate method returns a predicate that represents the logical negation of the original predicate. It inverts the boolean result.

Main.java

package com.zetcode;

import java.util.function.DoublePredicate;

public class Main {

public static void main(String[] args) {

    // Original predicate
    DoublePredicate isEven = n -> n % 2 == 0;
    
    // Negated predicate
    DoublePredicate isOdd = isEven.negate();
    
    System.out.println("4.0 is odd: " + isOdd.test(4.0));
    System.out.println("7.0 is odd: " + isOdd.test(7.0));
    System.out.println("0.0 is odd: " + isOdd.test(0.0));
}

}

This example shows predicate negation with negate. We create an isEven predicate, then negate it to get isOdd. The negated predicate returns true for odd numbers and false for even numbers.

Using DoublePredicate with Streams

DoublePredicate is commonly used with DoubleStream for filtering operations. The filter method accepts a DoublePredicate to include elements in the stream.

Main.java

package com.zetcode;

import java.util.Arrays; import java.util.stream.DoubleStream;

public class Main {

public static void main(String[] args) {

    double[] values = {1.5, -2.3, 4.7, 0.0, 10.2, -5.6, 7.8};
    
    // Define predicate for filtering
    DoublePredicate inRange = n -> n >= 0 && n <= 10;
    
    // Filter stream using predicate
    double[] filtered = DoubleStream.of(values)
        .filter(inRange)
        .toArray();
        
    System.out.println("Original: " + Arrays.toString(values));
    System.out.println("Filtered: " + Arrays.toString(filtered));
}

}

This example shows DoublePredicate usage with DoubleStream. We define a range check predicate and use it to filter values. Only numbers between 0 and 10 (inclusive) pass through the filter.

Chaining Multiple Predicates

DoublePredicate methods can be chained to create complex conditions. This enables building sophisticated filters from simple predicates.

Main.java

package com.zetcode;

import java.util.function.DoublePredicate;

public class Main {

public static void main(String[] args) {

    // Define base predicates
    DoublePredicate isPositive = n -> n > 0;
    DoublePredicate hasFraction = n -> n != Math.floor(n);
    DoublePredicate notTooLarge = n -> n < 100;
    
    // Chain predicates
    DoublePredicate complexCondition = isPositive
        .and(hasFraction)
        .and(notTooLarge);
    
    System.out.println("3.14 matches: " + complexCondition.test(3.14));
    System.out.println("5.0 matches: " + complexCondition.test(5.0));
    System.out.println("150.5 matches: " + complexCondition.test(150.5));
    System.out.println("-2.7 matches: " + complexCondition.test(-2.7));
}

}

This example demonstrates predicate chaining. We combine three conditions: positive, has fractional part, and not too large. The complex condition only matches numbers that satisfy all three criteria.

Practical Example: Data Validation

DoublePredicate is useful for data validation scenarios. We can create reusable validation rules for double values in business logic.

Main.java

package com.zetcode;

import java.util.function.DoublePredicate;

public class Main {

public static void main(String[] args) {

    // Define validation predicates
    DoublePredicate isValidTemperature = t -> t >= -50 && t <= 50;
    DoublePredicate isValidPercentage = p -> p >= 0 && p <= 100;
    
    // Test values
    double[] temps = {25.5, -60.2, 45.0, 55.1};
    double[] percents = {75.3, -5.0, 100.0, 101.5};
    
    System.out.println("Temperature validation:");
    for (double t : temps) {
        System.out.printf("%.1f°C: %s%n", t, isValidTemperature.test(t));
    }
    
    System.out.println("\nPercentage validation:");
    for (double p : percents) {
        System.out.printf("%.1f%%: %s%n", p, isValidPercentage.test(p));
    }
}

}

This practical example shows DoublePredicate for data validation. We define rules for valid temperatures and percentages. The predicates are then used to validate arrays of values, demonstrating real-world applicability.

Source

Java DoublePredicate Interface Documentation

In this article, we’ve covered the essential methods and features of the Java DoublePredicate interface. Understanding these concepts is crucial for working with primitive double values in functional programming contexts.

Author

My name is Jan Bodnar, and I am a dedicated programmer with many years of experience in the field. I began writing programming articles in 2007 and have since authored over 1,400 articles and eight e-books. With more than eight years of teaching experience, I am committed to sharing my knowledge and helping others master programming concepts.

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