// Path: src/main/scala/com/stefansavev/similaritysearch/implementation/VectorTypes.java
// public class VectorTypes {
//     public static VectorType uncorrelatedFeatures(int dimension, VectorType.StorageSize storageSize){
//         return new VectorType.UncorrelatedFeatures(dimension, storageSize);
//     }
// }


import com.stefansavev.randomprojections.actors.Application;
import com.stefansavev.similaritysearch.*;
import com.stefansavev.similaritysearch.implementation.VectorTypes;
import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;
import java.util.Iterator;
import java.util.List;
import java.util.Random;
package com.stefansavev.fuzzysearchtest;



public class MnistTest {

    static SimilaritySearchItem parseItem(int lineNumber, String line, int numDimensions) {
        String[] tokens = line.split(",");
        int label = Integer.parseInt(tokens[0]);
        double[] values = new double[numDimensions];
        for (int i = 0; i < numDimensions; i++) {
            values[i] = Double.parseDouble(tokens[i + 1]);
        }
        String lineNumberStr = Integer.toString(lineNumber);
        String name = lineNumberStr + "#" + lineNumberStr;
        return new SimilaritySearchItem(name, label, values);
    }

    static void buildIndex(String inputFile, String outputIndexFile) throws IOException, InvalidDataPointException {
        int dataDimension = 100;
        int numTrees = 10;
        //create an indexer
        SimilaritySearchIndexBuilder indexBuilder = new SimilaritySearchIndexBuilder(outputIndexFile,
// Path: src/main/scala/com/stefansavev/similaritysearch/implementation/VectorTypes.java
// public class VectorTypes {
//     public static VectorType uncorrelatedFeatures(int dimension, VectorType.StorageSize storageSize){
//         return new VectorType.UncorrelatedFeatures(dimension, storageSize);
//     }
// }


// Path: src/test/scala/com/stefansavev/fuzzysearchtest/MnistTest.java
import com.stefansavev.randomprojections.actors.Application;
import com.stefansavev.similaritysearch.*;
import com.stefansavev.similaritysearch.implementation.VectorTypes;
import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;
import java.util.Iterator;
import java.util.List;
import java.util.Random;

package com.stefansavev.fuzzysearchtest;



public class MnistTest {

    static SimilaritySearchItem parseItem(int lineNumber, String line, int numDimensions) {
        String[] tokens = line.split(",");
        int label = Integer.parseInt(tokens[0]);
        double[] values = new double[numDimensions];
        for (int i = 0; i < numDimensions; i++) {
            values[i] = Double.parseDouble(tokens[i + 1]);
        }
        String lineNumberStr = Integer.toString(lineNumber);
        String name = lineNumberStr + "#" + lineNumberStr;
        return new SimilaritySearchItem(name, label, values);
    }

    static void buildIndex(String inputFile, String outputIndexFile) throws IOException, InvalidDataPointException {
        int dataDimension = 100;
        int numTrees = 10;
        //create an indexer
        SimilaritySearchIndexBuilder indexBuilder = new SimilaritySearchIndexBuilder(outputIndexFile,
                VectorTypes.uncorrelatedFeatures(dataDimension, VectorType.StorageSize.Double),