The DoubleToLongFunction
interface in Java, part of the java.util.function
package, represents a functional interface with a method that accepts a double
-valued argument and produces a long
-valued result. It is often used when a computation or conversion needs to be performed from a double
to a long
.
Functional Interface
The DoubleToLongFunction
interface is annotated with @FunctionalInterface
, meaning it has exactly one abstract method:
long applyAsLong(double value);
This method takes a double
as input and returns a long
result.
How to Use DoubleToLongFunction
1. Using a Lambda Expression
The simplest way to use the DoubleToLongFunction
is by implementing its applyAsLong
method with a lambda expression.
Example:
package org.kodejava.util.function;
import java.util.function.DoubleToLongFunction;
public class DoubleToLongFunctionExample {
public static void main(String[] args) {
// Define a DoubleToLongFunction that rounds a double to the nearest long
DoubleToLongFunction roundFunction = value -> Math.round(value);
// Apply the function
// Outputs: 43
System.out.println("Rounded value: " + roundFunction.applyAsLong(42.75));
}
}
Here, the Math.round
method is used to convert the double
value to a long
.
2. Defining Custom Conversion Logic
We can use the DoubleToLongFunction
to implement custom logic for converting a double
to a long
.
Example:
package org.kodejava.util.function;
import java.util.function.DoubleToLongFunction;
public class CustomConversionExample {
public static void main(String[] args) {
// Convert a double value in kilometers to meters and truncate to long
DoubleToLongFunction kilometersToMeters = kilometers -> (long) (kilometers * 1000);
// Apply the function
// Outputs: 42195
System.out.println("Meters: " + kilometersToMeters.applyAsLong(42.195));
}
}
This example demonstrates converting a double (representing a value in kilometers) to meters, truncating the result to a long
.
3. Using with Streams
The DoubleToLongFunction
is particularly useful with Java Streams, especially when working with streams of primitive types (e.g., DoubleStream
).
Example:
package org.kodejava.util.function;
import java.util.stream.DoubleStream;
public class DoubleStreamExample {
public static void main(String[] args) {
// Create a DoubleStream
DoubleStream doubleStream = DoubleStream.of(1.2, 3.4, 5.6);
// Map each double to a long using a DoubleToLongFunction
doubleStream.mapToLong(value -> (long) (value * 10))
.forEach(System.out::println);
// Outputs:
// 12
// 34
// 56
}
}
This example scales each double
value by 10 and converts it to long
before printing the results.
4. Combining with Other Functional Interfaces
We can also combine the DoubleToLongFunction
with other functional interfaces for more advanced processing workflows.
Example:
import java.util.function.DoubleToLongFunction;
import java.util.function.LongConsumer;
public class CombinedFunction {
public static void main(String[] args) {
// DoubleToLongFunction to truncate a temperature value from Celsius to Kelvin
DoubleToLongFunction celsiusToKelvin = celsius -> (long) (celsius + 273.15);
// LongConsumer to print the result
LongConsumer printResult = kelvinValue -> System.out.println("Temperature in Kelvin: " + kelvinValue);
// Combine the function and consumer
double celsius = 25.0;
printResult.accept(celsiusToKelvin.applyAsLong(celsius));
// Output: Temperature in Kelvin: 298
}
}
In this example, the DoubleToLongFunction
converts Celsius to Kelvin, and the LongConsumer
processes the resulting value.
When to Use DoubleToLongFunction
- When working with functional programming scenarios that involve converting or mapping
double
values tolong
. - In scenarios such as:
- Rounding or truncating computations.
- Unit conversions where precision is not required beyond a
long
. - Scaling operations (e.g., multiplying or dividing by a constant factor).
- To simplify operations when working with
DoubleStream
to produceLongStream
.
Summary
The DoubleToLongFunction
makes it straightforward to handle transformations from double
to long
. By leveraging lambda expressions, streams, or custom logic, we can write clean and concise code for numerical computations or transformations.