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Apache Commons Text is a library focused on algorithms working on strings.
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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You 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 org.apache.commons.text.similarity;
import java.util.Collection;
import java.util.HashMap;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Set;
import java.util.function.Function;
/**
* Measures the intersection of two sets created from a pair of character sequences.
*
* It is assumed that the type {@code T} correctly conforms to the requirements for storage
* within a {@link Set} or {@link HashMap}. Ideally the type is immutable and implements
* {@link Object#equals(Object)} and {@link Object#hashCode()}.
*
* @param the type of the elements extracted from the character sequence
* @since 1.7
* @see Set
* @see HashMap
*/
public class IntersectionSimilarity implements SimilarityScore {
/**
* Mutable counter class for storing the count of elements.
*/
private static final class BagCount {
/** Private, mutable but must be used as immutable. */
private static final BagCount ZERO = new BagCount();
/** The count. */
private int count;
private BagCount() {
this.count = 0;
}
}
// The following is adapted from commons-collections for a Bag.
// A Bag is a collection that can store the count of the number
// of copies of each element.
/**
* A minimal implementation of a Bag that can store elements and a count.
*
*
* For the intended purpose the Bag does not have to be a {@link Collection}. It does not
* even have to know its own size.
*
*/
private final class TinyBag {
/** The backing map. */
private final Map map;
/**
* Create a new tiny bag.
*
* @param initialCapacity the initial capacity
*/
private TinyBag(final int initialCapacity) {
map = new HashMap<>(initialCapacity);
}
/**
* Adds a new element to the bag, incrementing its count in the underlying map.
*
* @param object the object to add
*/
private void add(final T object) {
map.computeIfAbsent(object, k -> new BagCount()).count++;
}
/**
* Returns a Set view of the mappings contained in this bag.
*
* @return The Set view
*/
private Set> entrySet() {
return map.entrySet();
}
/**
* Returns the number of occurrence of the given element in this bag by
* looking up its count in the underlying map.
*
* @param object the object to search for
* @return The number of occurrences of the object, zero if not found
*/
private int getCount(final Object object) {
return map.getOrDefault(object, BagCount.ZERO).count;
}
/**
* Gets the number of unique elements in the bag.
*
* @return The unique element size
*/
private int uniqueElementSize() {
return map.size();
}
}
/**
* Computes the intersection between two sets. This is the count of all the elements
* that are within both sets.
*
* @param the type of the elements in the set
* @param setA the set A
* @param setB the set B
* @return The intersection
*/
private static int getIntersection(final Set setA, final Set setB) {
int intersection = 0;
for (final T element : setA) {
if (setB.contains(element)) {
intersection++;
}
}
return intersection;
}
/** The converter used to create the elements from the characters. */
private final Function> converter;
/**
* Create a new intersection similarity using the provided converter.
*
*
* If the converter returns a {@link Set} then the intersection result will
* not include duplicates. Any other {@link Collection} is used to produce a result
* that will include duplicates in the intersect and union.
*
*
* @param converter the converter used to create the elements from the characters
* @throws IllegalArgumentException if the converter is null
*/
public IntersectionSimilarity(final Function> converter) {
if (converter == null) {
throw new IllegalArgumentException("Converter must not be null");
}
this.converter = converter;
}
/**
* Calculates the intersection of two character sequences passed as input.
*
* @param left first character sequence
* @param right second character sequence
* @return The intersection result
* @throws IllegalArgumentException if either input sequence is {@code null}
*/
@Override
public IntersectionResult apply(final CharSequence left, final CharSequence right) {
if (left == null || right == null) {
throw new IllegalArgumentException("Input cannot be null");
}
// Create the elements from the sequences
final Collection objectsA = converter.apply(left);
final Collection objectsB = converter.apply(right);
final int sizeA = objectsA.size();
final int sizeB = objectsB.size();
// Short-cut if either collection is empty
if (Math.min(sizeA, sizeB) == 0) {
// No intersection
return new IntersectionResult(sizeA, sizeB, 0);
}
// Intersection = count the number of shared elements
final int intersection;
if (objectsA instanceof Set && objectsB instanceof Set) {
// If a Set then the elements will only have a count of 1.
// Iterate over the smaller set.
intersection = sizeA < sizeB
? getIntersection((Set) objectsA, (Set) objectsB)
: getIntersection((Set) objectsB, (Set) objectsA);
} else {
// Create a bag for each collection
final TinyBag bagA = toBag(objectsA);
final TinyBag bagB = toBag(objectsB);
// Iterate over the smaller number of unique elements
intersection = bagA.uniqueElementSize() < bagB.uniqueElementSize()
? getIntersection(bagA, bagB)
: getIntersection(bagB, bagA);
}
return new IntersectionResult(sizeA, sizeB, intersection);
}
/**
* Computes the intersection between two bags. This is the sum of the minimum
* count of each element that is within both sets.
*
* @param bagA the bag A
* @param bagB the bag B
* @return The intersection
*/
private int getIntersection(final TinyBag bagA, final TinyBag bagB) {
int intersection = 0;
for (final Entry entry : bagA.entrySet()) {
final T element = entry.getKey();
final int count = entry.getValue().count;
// The intersection of this entry in both bags is the minimum count
intersection += Math.min(count, bagB.getCount(element));
}
return intersection;
}
/**
* Converts the collection to a bag. The bag will contain the count of each element
* in the collection.
*
* @param objects the objects
* @return The bag
*/
private TinyBag toBag(final Collection objects) {
final TinyBag bag = new TinyBag(objects.size());
objects.forEach(bag::add);
return bag;
}
}
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