OnJava8-Examples/patterns/chain/ChainOfResponsibility.java
2016-12-30 17:23:13 -08:00

90 lines
2.4 KiB
Java

// patterns/chain/ChainOfResponsibility.java
// (c)2017 MindView LLC: see Copyright.txt
// We make no guarantees that this code is fit for any purpose.
// Visit http://OnJava8.com for more book information.
// Using the Functional interface
// {java patterns.chain.ChainOfResponsibility}
package patterns.chain;
import java.util.*;
import java.util.function.*;
class Result {
boolean success;
List<Double> line;
public Result(List<Double> data) {
success = true;
line = data;
}
public Result() {
success = false;
line = Collections.<Double>emptyList();
}
}
class Fail extends Result {}
interface Algorithm {
Result algorithm(List<Double> line);
}
class FindMinima {
public static Result leastSquares(List<Double> line) {
System.out.println("LeastSquares.algorithm");
boolean weSucceed = false;
if(weSucceed) // Actual test/calculation here
return new Result(Arrays.asList(1.1, 2.2));
else // Try the next one in the chain:
return new Fail();
}
public static Result perturbation(List<Double> line) {
System.out.println("Perturbation.algorithm");
boolean weSucceed = false;
if(weSucceed) // Actual test/calculation here
return new Result(Arrays.asList(3.3, 4.4));
else
return new Fail();
}
public static Result bisection(List<Double> line) {
System.out.println("Bisection.algorithm");
boolean weSucceed = true;
if(weSucceed) // Actual test/calculation here
return new Result(Arrays.asList(5.5, 6.6));
else
return new Fail();
}
static List<Function<List<Double>, Result>> algorithms =
Arrays.asList(
FindMinima::leastSquares,
FindMinima::perturbation,
FindMinima::bisection
);
public static Result minima(List<Double> line) {
for(Function<List<Double>, Result> alg : algorithms) {
Result result = alg.apply(line);
if(result.success)
return result;
}
return new Fail();
}
}
public class ChainOfResponsibility {
public static void main(String[] args) {
FindMinima solver = new FindMinima();
List<Double> line = Arrays.asList(
1.0, 2.0, 1.0, 2.0, -1.0,
3.0, 4.0, 5.0, 4.0);
Result result = solver.minima(line);
if(result.success)
System.out.println(result.line);
else
System.out.println("No algorithm found");
}
}
/* Output:
LeastSquares.algorithm
Perturbation.algorithm
Bisection.algorithm
[5.5, 6.6]
*/