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JaccardSimilarityHLLvsBitSetTest.java
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JaccardSimilarityHLLvsBitSetTest.java
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package algos;
import com.clearspring.analytics.stream.cardinality.CardinalityMergeException;
import org.junit.Ignore;
import org.junit.Test;
import org.junit.internal.runners.JUnit4ClassRunner;
import org.junit.runner.RunWith;
import java.util.*;
import java.util.function.Supplier;
import static algos.utils.TestUtils.*;
/**
* Created by volodymyr.bakhmatiuk on 3/28/17.
* This test is performed on small datasets which feet in RAM size
*/
@RunWith(JUnit4ClassRunner.class)
public class JaccardSimilarityHLLvsBitSetTest extends JaccardSimilarityTestBase {
static final Supplier<String> UUID_SUPPLIER = () -> UUID.randomUUID().toString();
static final Supplier<String> DOUBLE_UUID_SUPPLIER = () -> UUID.randomUUID().toString() + UUID.randomUUID().toString();
@Test
public void test() {
}
/**
* DUPLICATES_0X argument means how much duplicates (in percentage perspective) input will have
*/
private final float DUPLICATES_00 = 0.0F;
private final float DUPLICATES_01 = 0.1F;
private final float DUPLICATES_05 = 0.5F;
private final float DUPLICATES_09 = 0.9F;
/**
* SIMILARITY_0X argument means which percentage of input2 will be copied from input1
*/
private final float SIMILARITY_01 = 0.1F;
private final float SIMILARITY_03 = 0.3F;
private final float SIMILARITY_05 = 0.5F;
private final float SIMILARITY_075 = 0.75F;
private final float SIMILARITY_099 = 0.99F;
/*
*
* Difference between similarity 0.5F and duplicates 0.5F.
* input1 of size 10, input2 of size 12.
*
* input1 input2
* 1 1 // similarity = 0.5F means 50% of elements of input2 (6 elements) are copied from inpu1
* 2 2
* 3 3
* 4 4
* 5 5
* 6 6
* 7 11 // duplicates = 0.5F means each second element of input2 is a duplicate in scope of input2
* 8 11
* 9 12
* 10 12
* 13
* 13
*/
// ============================ ============================//
// ============================== ==============================//
// //
// PARAMETERS THAT DO INFLUENCE HLL and BitSet accuracy //
// //
// ============================ ============================//
// ============================== ==============================//
// ===============================================
// ================================================
// PROOF #1: Similarity between inputs DO influence intersection size & accuracy
// ================================================
// ===============================================
@Test
public void influenceOfSimilarityBetweenInputs_1() throws CardinalityMergeException {
// similarities 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
final float[] MIN_EXPECTED_DEVIATIONS = new float[] { 0.000F, 0.000F, 0.000F, 0.07F, 0.148F, 0.213F, 0.264F, 0.29F, 0.29F, 0.230F, 0.0F };
final float[] MAX_EXPECTED_DEVIATIONS = new float[] { 0.006F, 0.004F, 0.002F, 0.08F, 0.152F, 0.216F, 0.268F, 0.31F, 0.31F, 0.236F, 0.0F };
for (int i = 0; i <= 10; i++) {
float similarity = i / (float) 10;
testHLLInMemory(similarity, 10_000, 50_000, MIN_EXPECTED_DEVIATIONS[i], MAX_EXPECTED_DEVIATIONS[i], UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testBitSetInMemory(similarity, 10_000, 50_000, MIN_EXPECTED_DEVIATIONS[i], MAX_EXPECTED_DEVIATIONS[i], UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
}
}
@Test
public void influenceOfSimilarityBetweenInputs_2() throws CardinalityMergeException {
// similarities 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
final float[] MIN_EXPECTED_DEVIATIONS = new float[] { 0.000F, 0.000F, 0.080F, 0.17F, 0.25F, 0.33F, 0.395F, 0.445F, 0.46F, 0.39F, 0.0F };
final float[] MAX_EXPECTED_DEVIATIONS = new float[] { 0.006F, 0.004F, 0.091F, 0.18F, 0.26F, 0.34F, 0.405F, 0.455F, 0.47F, 0.41F, 0.0F };
for (int i = 0; i <= 10; i++) {
float similarity = i / (float) 10;
testHLLInMemory(similarity, 10_000, 100_000, MIN_EXPECTED_DEVIATIONS[i], MAX_EXPECTED_DEVIATIONS[i], UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testBitSetInMemory(similarity, 10_000, 100_000, MIN_EXPECTED_DEVIATIONS[i], MAX_EXPECTED_DEVIATIONS[i], UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
}
}
// ===============================================
// ================================================
// PROOF #2: Size proportions between inputs (without changing intersection size) DO influence accuracy
// ================================================
// ===============================================
@Test
public void inputProportionDifferencesDoMatterEvenWithTheSameIntersectionSize() throws CardinalityMergeException {
// --------------------------------------- proportions 1:1 1:2 1:3 1:4 1:5 1:6
final float[] MIN_EXPECTED_DEVIATIONS = new float[] { 0.18F, 0.45F, 0.31F, 0.23F, 0.18F, 0.15F };
final float[] MAX_EXPECTED_DEVIATIONS = new float[] { 0.20F, 0.46F, 0.32F, 0.24F, 0.19F, 0.16F };
final int FIRST_INPUT_SIZE = 10_000;
final int MULTIPLIER = 25; // in order to get more obvious deviation
for (int proportion = 1; proportion < 7; proportion++) {
/*
SIMILARITY_099 = 0.99F means that FIRST_INPUT_SIZE * 0.99F elements will be copied from the first array to the second
SIMILARITY_099 / proportion - means that on each proportion we will copy the same amount of elements from input1 to input2
*/
System.out.println("Proportion: " + proportion);
testHLLInMemory(SIMILARITY_099 / proportion, FIRST_INPUT_SIZE, MULTIPLIER * proportion * FIRST_INPUT_SIZE, MIN_EXPECTED_DEVIATIONS[proportion - 1], MAX_EXPECTED_DEVIATIONS[proportion -1], UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testBitSetInMemory(SIMILARITY_099 / proportion, FIRST_INPUT_SIZE, MULTIPLIER * proportion * FIRST_INPUT_SIZE, MIN_EXPECTED_DEVIATIONS[proportion - 1], MAX_EXPECTED_DEVIATIONS[proportion -1], UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
}
}
// ===============================================
// ================================================
// PROOF #3: Different duplicates DO influence accuracy
// ===============================================
// Change percentage of duplicates from 10% to 90%. Use similarity 50%.
// Use different duplicates arguments for 1st and 2nd input
//
// Difference between similarity 0.5F and DUPLICATES 0.5F:
// similarity 0.5F means that half of input2 will be fullfilled with elements from input1. Those 50% of elements from input1 will be all unique in scope of input2
// duplicates 0.5F means that remained 50% of elements of input2 will contain 50% of duplicates which won't intersect with any element of input1.
// ================================================
@Test
public void deviationDoesDependOnDuplicates_1() throws CardinalityMergeException {
final int INPUT_1_SIZE = 10_000;
final int INPUT_2_SIZE = 50_000;
final float[] MIN_EXPECTED_DEVIATIONS = new float[] { 0.23F, 0.21F, 0.08F, 0.28F };
final float[] MAX_EXPECTED_DEVIATIONS = new float[] { 0.24F, 0.22F, 0.09F, 0.29F };
final float[] DUPLICATES = new float[] { DUPLICATES_00, DUPLICATES_01, DUPLICATES_05, DUPLICATES_09 };
for (int i = 0; i < DUPLICATES.length; i++) {
final float minDev = MIN_EXPECTED_DEVIATIONS[i];
final float maxDev = MAX_EXPECTED_DEVIATIONS[i];
Supplier<String> supplier1 = getDuplicateSupplier(DUPLICATES_01, "s1");
Supplier<String> supplier2 = getDuplicateSupplier(DUPLICATES[i], "s2");
System.out.println("Iteartion " + i);
testHLLInMemory(SIMILARITY_05, INPUT_1_SIZE, INPUT_2_SIZE, minDev, maxDev, supplier1, supplier2);
testBitSetInMemory(SIMILARITY_05, INPUT_1_SIZE, INPUT_2_SIZE, minDev, maxDev, supplier1, supplier2);
}
}
@Test
public void deviationDoesDependOnDuplicates_2() throws CardinalityMergeException {
final int INPUT_1_SIZE = 10_000;
final int INPUT_2_SIZE = 50_000;
final float[] MIN_EXPECTED_DEVIATIONS = new float[] {0.33F, 0.31F, 0.21F, 0.16F};
final float[] MAX_EXPECTED_DEVIATIONS = new float[] {0.34F, 0.32F, 0.22F, 0.17F};
final float[] DUPLICATES = new float[]{DUPLICATES_00, DUPLICATES_01, DUPLICATES_05, DUPLICATES_09};
for (int i = 0; i < DUPLICATES.length; i++) {
final float minDev = MIN_EXPECTED_DEVIATIONS[i];
final float maxDev = MAX_EXPECTED_DEVIATIONS[i];
Supplier<String> supplier1 = getDuplicateSupplier(DUPLICATES_05, "s1");
Supplier<String> supplier2 = getDuplicateSupplier(DUPLICATES[i], "s2");
System.out.println("Iteartion " + i);
testHLLInMemory(SIMILARITY_05, INPUT_1_SIZE, INPUT_2_SIZE, minDev, maxDev, supplier1, supplier2);
testBitSetInMemory(SIMILARITY_05, INPUT_1_SIZE, INPUT_2_SIZE, minDev, maxDev, supplier1, supplier2);
}
}
@Test
public void deviationDoesDependOnDuplicates_3() throws CardinalityMergeException {
final int INPUT_1_SIZE = 10_000;
final int INPUT_2_SIZE = 50_000;
final float[] MIN_EXPECTED_DEVIATIONS = new float[]{0.46F, 0.45F, 0.42F, 0.21F};
final float[] MAX_EXPECTED_DEVIATIONS = new float[]{0.47F, 0.46F, 0.43F, 0.22F};
final float[] DUPLICATES = new float[]{DUPLICATES_00, DUPLICATES_01, DUPLICATES_05, DUPLICATES_09};
for (int i = 0; i < DUPLICATES.length; i++) {
final float minDev = MIN_EXPECTED_DEVIATIONS[i];
final float maxDev = MAX_EXPECTED_DEVIATIONS[i];
Supplier<String> supplier1 = getDuplicateSupplier(DUPLICATES_09, "s1");
Supplier<String> supplier2 = getDuplicateSupplier(DUPLICATES[i], "s2");
System.out.println("Iteartion " + i);
testHLLInMemory(SIMILARITY_05, INPUT_1_SIZE, INPUT_2_SIZE, minDev, maxDev, supplier1, supplier2);
testBitSetInMemory(SIMILARITY_05, INPUT_1_SIZE, INPUT_2_SIZE, minDev, maxDev, supplier1, supplier2);
}
}
// ============================ ============================//
// ============================== ==============================//
// //
// PARAMETERS THAT DO NOT INFLUENCE HLL and BitSet accuracy //
// //
// ============================ ============================//
// ============================== ==============================//
// ===============================================
// ================================================
// PROOF #4: Input size do NOT influence accuracy
// ================================================
// ===============================================
@Test
public void deviationDoesNotDependsOnSize_1() throws CardinalityMergeException {
final float MIN_EXPECTED_DEVIATION = 0.089F;
final float MAX_EXPECTED_DEVIATION = 0.11F;
// HLL
testHLLInMemory(SIMILARITY_05, 100, 300, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testHLLInMemory(SIMILARITY_05, 10_000, 30_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testHLLInMemory(SIMILARITY_05, 1_000_000, 3_000_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testHLLOnDisk(0.5F, 20_000_000, 60_000_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
// BitSet
testBitSetInMemory(SIMILARITY_05, 100, 300, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testBitSetInMemory(SIMILARITY_05, 10_000, 30_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testBitSetInMemory(SIMILARITY_05, 1_000_000, 3_000_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testBitSetOnDisk(0.5F, 20_000_000, 60_000_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
}
@Test
public void deviationDoesNotDependsOnSize_2() throws CardinalityMergeException {
final float MIN_EXPECTED_DEVIATION = 0.16F;
final float MAX_EXPECTED_DEVIATION = 0.173F;
// HLL
testHLLInMemory(SIMILARITY_05, 100, 400, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testHLLInMemory(SIMILARITY_05, 10_000, 40_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testHLLInMemory(SIMILARITY_05, 1_000_000, 4_000_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testHLLOnDisk(SIMILARITY_05, 7_000_000, 28_000_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
// BitSet
testBitSetInMemory(SIMILARITY_05, 100, 400, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testBitSetInMemory(SIMILARITY_05, 10_000, 40_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testBitSetInMemory(SIMILARITY_05, 1_000_000, 4_000_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testBitSetOnDisk(SIMILARITY_05, 7_000_000, 28_000_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
}
@Test
public void deviationDoesNotDependsOnSize_3() throws CardinalityMergeException {
final float MIN_EXPECTED_DEVIATION = 0.27F;
final float MAX_EXPECTED_DEVIATION = 0.28F;
// HLL
testHLLInMemory(SIMILARITY_05, 100, 700, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testHLLInMemory(SIMILARITY_05, 10_000, 70_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testHLLInMemory(SIMILARITY_05, 1_000_000, 7_000_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testHLLOnDisk(0.5F, 2_000_000, 14_000_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
// BitSet
testBitSetInMemory(SIMILARITY_05, 100, 700, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testBitSetInMemory(SIMILARITY_05, 10_000, 70_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testBitSetInMemory(SIMILARITY_05, 1_000_000, 7_000_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testBitSetOnDisk(0.5F, 2_000_000, 14_000_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
}
// ===============================================
// ================================================
// PROOF #5: Same duplicates proportion do NOT influeinfluencence accuracy.
//
// By duplicates here I mean elements which has copies in scope of the same input,
// but do not intersect with any of the element of another input
// ================================================
// ===============================================
/* Proof that expected similarity should not depends on number of duplicates per input/column:
INPUT_1_CARDINALITY = INPUT_1_SIZE * ( 1 - DUPLICATES_1)
INPUT_2_CARDINALITY = INPUT_2_SIZE * SIMILARITY * ( 1 - DUPLICATES_1) + INPUT_2_SIZE * (1 - SIMILARITY) * (1 - DUPLICATES_2) // BUT! The first part of INPUT_2_CARDINALITY does not participate in merge cardinality estimation, since SIMILARITY part will be copied to input2
MERGE_CARDINALITY = INPUT_1_CARDINALITY + second_part_of(INPUT_2_CARDINALITY)
INTERSECT_CARDINALITY = INPUT_1_CARDINALITY + INPUT_2_CARDINALITY - MERGE_CARDINALITY = INPUT_2_SIZE * SIMILARITY * ( 1 - DUPLICATES_1) = the_first_part_of(INPUT_2_CARDINALITY)
SIMILARITY(input2, input1) = INTERSECT_CARDINALITY / INPUT_2_CARDINALITY = the_first_part_of(INPUT_2_CARDINALITY) / INPUT_2_CARDINALITY = SIMILARITY / (SIMILARITY + 1 - SIMILARITY) = SIMILARITY
*/
/**
* Change percentage of duplicates from 10% to 90% and deviation doesn't change. Use similarity 10%
* @throws CardinalityMergeException
*/
@Test
public void deviationDoesNotDependOnDuplicates_1() throws CardinalityMergeException {
final float MIN_EXPECTED_DEVIATION = 0.00F;
final float MAX_EXPECTED_DEVIATION = 0.01F;
testHLLInMemory(SIMILARITY_01, 10_000, 20_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_00, "s1"), getDuplicateSupplier(DUPLICATES_00, "s2"));
testHLLInMemory(SIMILARITY_01, 10_000, 20_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_01, "s1"), getDuplicateSupplier(DUPLICATES_01, "s2"));
testHLLInMemory(SIMILARITY_01, 10_000, 20_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_05, "s1"), getDuplicateSupplier(DUPLICATES_05, "s2"));
testHLLInMemory(SIMILARITY_01, 10_000, 20_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_09, "s1"), getDuplicateSupplier(DUPLICATES_09, "s2"));
testBitSetInMemory(SIMILARITY_01, 10_000, 20_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_00, "s1"), getDuplicateSupplier(DUPLICATES_00, "s2"));
testBitSetInMemory(SIMILARITY_01, 10_000, 20_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_01, "s1"), getDuplicateSupplier(DUPLICATES_01, "s2"));
testBitSetInMemory(SIMILARITY_01, 10_000, 20_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_05, "s1"), getDuplicateSupplier(DUPLICATES_05, "s2"));
testBitSetInMemory(SIMILARITY_01, 10_000, 20_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_09, "s1"), getDuplicateSupplier(DUPLICATES_09, "s2"));
}
/**
* Change percentage of duplicates from 10% to 90% and deviation doesn't change. Use similarity 30%
* @throws CardinalityMergeException
*/
@Test
public void deviationDoesNotDependOnDuplicates_2() throws CardinalityMergeException {
final float MIN_EXPECTED_DEVIATION = 0.07F;
final float MAX_EXPECTED_DEVIATION = 0.08F;
testHLLInMemory(SIMILARITY_03, 10_000, 50_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_00, "s1"), getDuplicateSupplier(DUPLICATES_00, "s2"));
testHLLInMemory(SIMILARITY_03, 10_000, 50_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_01, "s1"), getDuplicateSupplier(DUPLICATES_01, "s2"));
testHLLInMemory(SIMILARITY_03, 10_000, 50_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_05, "s1"), getDuplicateSupplier(DUPLICATES_05, "s2"));
testHLLInMemory(SIMILARITY_03, 10_000, 50_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_09, "s1"), getDuplicateSupplier(DUPLICATES_09, "s2"));
testBitSetInMemory(SIMILARITY_03, 10_000, 50_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_00, "s1"), getDuplicateSupplier(DUPLICATES_00, "s2"));
testBitSetInMemory(SIMILARITY_03, 10_000, 50_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_01, "s1"), getDuplicateSupplier(DUPLICATES_01, "s2"));
testBitSetInMemory(SIMILARITY_03, 10_000, 50_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_05, "s1"), getDuplicateSupplier(DUPLICATES_05, "s2"));
testBitSetInMemory(SIMILARITY_03, 10_000, 50_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_09, "s1"), getDuplicateSupplier(DUPLICATES_09, "s2"));
}
/**
* Change percentage of duplicates from 10% to 90% and deviation doesn't change. Use similarity 50%
* @throws CardinalityMergeException
*/
@Test
public void deviationDoesNotDependOnDuplicates_3() throws CardinalityMergeException {
final float MIN_EXPECTED_DEVIATION = 0.21F;
final float MAX_EXPECTED_DEVIATION = 0.22F;
testHLLInMemory(SIMILARITY_05, 10_000, 50_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_00, "s1"), getDuplicateSupplier(DUPLICATES_00, "s2"));
testHLLInMemory(SIMILARITY_05, 10_000, 50_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_01, "s1"), getDuplicateSupplier(DUPLICATES_01, "s2"));
testHLLInMemory(SIMILARITY_05, 10_000, 50_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_05, "s1"), getDuplicateSupplier(DUPLICATES_05, "s2"));
testHLLInMemory(SIMILARITY_05, 10_000, 50_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_09, "s1"), getDuplicateSupplier(DUPLICATES_09, "s2"));
testBitSetInMemory(SIMILARITY_05, 10_000, 50_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_00, "s1"), getDuplicateSupplier(DUPLICATES_00, "s2"));
testBitSetInMemory(SIMILARITY_05, 10_000, 50_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_01, "s1"), getDuplicateSupplier(DUPLICATES_01, "s2"));
testBitSetInMemory(SIMILARITY_05, 10_000, 50_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_05, "s1"), getDuplicateSupplier(DUPLICATES_05, "s2"));
testBitSetInMemory(SIMILARITY_05, 10_000, 50_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, getDuplicateSupplier(DUPLICATES_09, "s1"), getDuplicateSupplier(DUPLICATES_09, "s2"));
}
// ===============================================
// ================================================
// PROOF #6: Length of the data do NOT influence accuracy
// ===============================================
// ================================================
@Test
public void randomVsSimpleData_1() throws CardinalityMergeException {
final float MIN_EXPECTED_DEVIATION = 0.16F;
final float MAX_EXPECTED_DEVIATION = 0.173F;
final Supplier<String> supplier1 = getDuplicateSupplier(0, 10_000, DUPLICATES_05, "1");
final Supplier<String> supplier2 = getDuplicateSupplier(0, 40_000, DUPLICATES_05, "2");
testHLLInMemory(SIMILARITY_05, 10_000, 40_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testHLLInMemory(SIMILARITY_05, 10_000, 40_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, supplier1, supplier2);
testBitSetInMemory(SIMILARITY_05, 10_000, 40_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
testBitSetInMemory(SIMILARITY_05, 10_000, 40_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, supplier1, supplier2);
}
// -----------------------------------------------------------------------------------------------------------------
@Ignore
@Test
public void try_to_make_dependency_between_deviation_and_input_size_and_similarity() throws CardinalityMergeException {
final float MIN_EXPECTED_DEVIATION = 0.245F;
final float MAX_EXPECTED_DEVIATION = 0.254F;
testHLLInMemory(SIMILARITY_05, 10_000, 60_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER); // intersection = 60_000 * 0.50 = 30_000
testHLLInMemory(SIMILARITY_075, 10_000, 40_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER); // intersection = 40_000 * 0.75 = 30_000
testHLLInMemory(SIMILARITY_05, 20_000, 120_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER); // intersection = 120_000 * 0.50 = 60_000
testHLLInMemory(SIMILARITY_075, 20_000, 80_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER); // intersection = 80_000 * 0.75 = 60_000
testHLLInMemory(0.365F, 10_000, 120_000, MIN_EXPECTED_DEVIATION, MAX_EXPECTED_DEVIATION, UUID_SUPPLIER, DOUBLE_UUID_SUPPLIER);
}
}