// Path: src/main/java/ro/hasna/ts/math/ml/distance/GenericDistanceMeasure.java
// public interface GenericDistanceMeasure<T> extends Serializable {
//     /**
//      * Compute the distance between two n-dimensional vectors.
//      * <p>
//      * The two vectors are required to have the same dimension.
//      *
//      * @param a the first vector
//      * @param b the second vector
//      * @return the distance between the two vectors
//      */
//     double compute(T a, T b);
// 
//     /**
//      * Compute the distance between two n-dimensional vectors.
//      * <p>
//      * The two vectors are required to have the same dimension.
//      *
//      * @param a           the first vector
//      * @param b           the second vector
//      * @param cutOffValue if the distance being calculated is above this value
//      *                    stop computing the remaining distance
//      * @return the distance between the two vectors
//      */
//     double compute(T a, T b, double cutOffValue);
// }
// 
// Path: src/main/java/ro/hasna/ts/math/representation/GenericTransformer.java
// public interface GenericTransformer<I, O> extends Serializable {
//     /**
//      * Transform the input vector from type I into type O.
//      *
//      * @param input the input vector
//      * @return the output vector
//      */
//     O transform(I input);
// }
// 
// Path: src/main/java/ro/hasna/ts/math/util/TimeSeriesPrecision.java
// public class TimeSeriesPrecision {
//     public static final double EPSILON = FastMath.pow(2, -30);
// 
//     /**
//      * Private constructor.
//      */
//     private TimeSeriesPrecision() {
//     }
// }


import org.apache.commons.math3.ml.distance.DistanceMeasure;
import org.junit.Assert;
import ro.hasna.ts.math.ml.distance.GenericDistanceMeasure;
import ro.hasna.ts.math.representation.GenericTransformer;
import ro.hasna.ts.math.util.TimeSeriesPrecision;
/*
 * Copyright 2015 Octavian Hasna
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *         http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package ro.hasna.ts.math.ml.distance.util;



public class DistanceTester {
    private GenericDistanceMeasure<double[]> distance;
    private int vectorLength = 128;
    private double offset;
    private double cutOffValue;
    private double expectedResult;

    /**
     * Private constructor.
     */
    public DistanceTester() {
    }

// Path: src/main/java/ro/hasna/ts/math/ml/distance/GenericDistanceMeasure.java
// public interface GenericDistanceMeasure<T> extends Serializable {
//     /**
//      * Compute the distance between two n-dimensional vectors.
//      * <p>
//      * The two vectors are required to have the same dimension.
//      *
//      * @param a the first vector
//      * @param b the second vector
//      * @return the distance between the two vectors
//      */
//     double compute(T a, T b);
// 
//     /**
//      * Compute the distance between two n-dimensional vectors.
//      * <p>
//      * The two vectors are required to have the same dimension.
//      *
//      * @param a           the first vector
//      * @param b           the second vector
//      * @param cutOffValue if the distance being calculated is above this value
//      *                    stop computing the remaining distance
//      * @return the distance between the two vectors
//      */
//     double compute(T a, T b, double cutOffValue);
// }
// 
// Path: src/main/java/ro/hasna/ts/math/representation/GenericTransformer.java
// public interface GenericTransformer<I, O> extends Serializable {
//     /**
//      * Transform the input vector from type I into type O.
//      *
//      * @param input the input vector
//      * @return the output vector
//      */
//     O transform(I input);
// }
// 
// Path: src/main/java/ro/hasna/ts/math/util/TimeSeriesPrecision.java
// public class TimeSeriesPrecision {
//     public static final double EPSILON = FastMath.pow(2, -30);
// 
//     /**
//      * Private constructor.
//      */
//     private TimeSeriesPrecision() {
//     }
// }


// Path: src/test/java/ro/hasna/ts/math/ml/distance/util/DistanceTester.java
import org.apache.commons.math3.ml.distance.DistanceMeasure;
import org.junit.Assert;
import ro.hasna.ts.math.ml.distance.GenericDistanceMeasure;
import ro.hasna.ts.math.representation.GenericTransformer;
import ro.hasna.ts.math.util.TimeSeriesPrecision;

/*
 * Copyright 2015 Octavian Hasna
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *         http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package ro.hasna.ts.math.ml.distance.util;



public class DistanceTester {
    private GenericDistanceMeasure<double[]> distance;
    private int vectorLength = 128;
    private double offset;
    private double cutOffValue;
    private double expectedResult;

    /**
     * Private constructor.
     */
    public DistanceTester() {
    }

    public <T> DistanceTester withGenericDistanceMeasure(final GenericDistanceMeasure<T[]> distance, final GenericTransformer<double[], T[]> transformer) {