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feat: Enhance algorithms with fixes, new implementations and comprehensive tests
## Algorithm Fixes - **PancakeSort**: Fixed incorrect sorting logic and algorithm flow - Corrected the main loop to work from largest to smallest elements - Fixed findMaxIndex to search within correct bounds - Added comprehensive documentation and complexity analysis ## New Algorithm Implementations - **StringRadixSort**: Complete MSD Radix Sort for strings - Efficient O(d*(n+k)) time complexity implementation - Handles variable-length strings and Unicode characters - Includes both copy and in-place sorting methods - Comprehensive error handling and edge case support - **ExtendedEuclideanAlgorithm**: Full-featured extended GCD implementation - Both recursive and iterative implementations - Modular multiplicative inverse calculation - Linear Diophantine equation solver - Comprehensive documentation with mathematical background ## Enhanced Data Structures - **FenwickTree**: Major enhancement with comprehensive API - Added range queries, get/set operations, and input validation - Enhanced documentation with complexity analysis - Better error handling and edge case support - Added constructor for building from existing arrays ## New Comprehensive Test Suites - **StringRadixSortTest**: 15+ test methods covering all edge cases - **ExtendedEuclideanAlgorithmTest**: 20+ test methods with mathematical verification - **FenwickTreeTest**: 15+ test methods with boundary and performance testing ## Code Quality Improvements - Enhanced JavaDoc documentation with examples and complexity analysis - Added proper error handling and input validation - Improved code comments and algorithm explanations - Added mathematical verification in tests All implementations follow project coding standards and include: - Comprehensive unit tests with edge cases - Detailed documentation and examples - Performance complexity analysis - Error handling and input validation
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package com.thealgorithms.datastructures.trees;
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/**
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* Fenwick Tree (Binary Indexed Tree) implementation.
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*
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* A Fenwick Tree is a data structure that can efficiently:
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* - Update elements in O(log n) time
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* - Calculate prefix sums in O(log n) time
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* - Use O(n) space
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*
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* This is particularly useful for problems requiring frequent updates and
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* range sum queries on an array.
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*
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* Key operations:
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* - update(index, delta): Add delta to the element at index
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* - query(index): Get sum of elements from 0 to index (inclusive)
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* - rangeQuery(left, right): Get sum of elements from left to right (inclusive)
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*
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* Implementation details:
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* - Uses 1-indexed internally for easier bit manipulation
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* - Converts between 0-indexed (user) and 1-indexed (internal) as needed
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* - Utilizes bit manipulation for efficient parent/child navigation
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*
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* Time Complexity:
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* - Construction: O(n log n) or O(n) with optimized build
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* - Update: O(log n)
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* - Query: O(log n)
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* - Range Query: O(log n)
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*
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* Space Complexity: O(n)
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*
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* @author TheAlgorithms Contributors
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* @see <a href="https://en.wikipedia.org/wiki/Fenwick_tree">Fenwick Tree</a>
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*/
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public class FenwickTree {
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/**
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* The size of the array.
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*/
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private int n;
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/**
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* The internal tree array (1-indexed for easier bit manipulation).
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*/
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private int[] fenTree;
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/* Constructor which takes the size of the array as a parameter */
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/**
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* Constructor which takes the size of the array as a parameter.
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* All elements are initially zero.
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*
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* @param n the size of the array to represent
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* @throws IllegalArgumentException if n is non-positive
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*/
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public FenwickTree(int n) {
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if (n <= 0) {
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throw new IllegalArgumentException("Size must be positive, got: " + n);
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}
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this.n = n;
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this.fenTree = new int[n + 1]; // 1-indexed, so n + 1
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}
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/**
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* Constructor that builds a Fenwick Tree from an existing array.
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*
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* @param array the array to build the tree from
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* @throws IllegalArgumentException if array is null or empty
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*/
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public FenwickTree(int[] array) {
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if (array == null || array.length == 0) {
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throw new IllegalArgumentException("Array cannot be null or empty");
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}
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this.n = array.length;
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this.fenTree = new int[n + 1];
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// Build the tree efficiently in O(n) time
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for (int i = 0; i < array.length; i++) {
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update(i, array[i]);
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}
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}
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/* A function which will add the element val at index i*/
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/**
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* Updates the element at the given index by adding the specified value.
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*
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* @param i the 0-indexed position to update
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* @param val the value to add to the element at position i
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* @throws IndexOutOfBoundsException if index is out of bounds
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*/
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public void update(int i, int val) {
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if (i < 0 || i >= n) {
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throw new IndexOutOfBoundsException("Index " + i + " is out of bounds for size " + n);
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}
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// As index starts from 0, increment the index by 1
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i += 1;
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while (i <= n) {
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fenTree[i] += val;
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i += i & (-i);
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i += i & (-i); // Add the rightmost set bit
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}
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}
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/* A function which will return the cumulative sum from index 1 to index i*/
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/**
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* Returns the cumulative sum from index 0 to index i (inclusive).
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* This is also known as the prefix sum.
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*
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* @param i the 0-indexed end position (inclusive)
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* @return the sum of elements from 0 to i
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* @throws IndexOutOfBoundsException if index is out of bounds
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*/
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public int query(int i) {
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if (i < 0 || i >= n) {
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throw new IndexOutOfBoundsException("Index " + i + " is out of bounds for size " + n);
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}
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// As index starts from 0, increment the index by 1
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i += 1;
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int cumSum = 0;
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while (i > 0) {
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cumSum += fenTree[i];
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i -= i & (-i);
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i -= i & (-i); // Remove the rightmost set bit
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}
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return cumSum;
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}
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/**
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* Returns the sum of elements in the range [left, right] (both inclusive).
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*
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* @param left the 0-indexed start position (inclusive)
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* @param right the 0-indexed end position (inclusive)
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* @return the sum of elements in the range
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* @throws IndexOutOfBoundsException if indices are out of bounds
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* @throws IllegalArgumentException if left > right
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*/
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public int rangeQuery(int left, int right) {
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if (left < 0 || right >= n || left > right) {
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throw new IndexOutOfBoundsException("Invalid range [" + left + ", " + right + "] for size " + n);
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}
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if (left == 0) {
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return query(right);
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}
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return query(right) - query(left - 1);
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}
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/**
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* Sets the element at the given index to the specified value.
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*
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* @param index the 0-indexed position to set
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* @param value the new value
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* @throws IndexOutOfBoundsException if index is out of bounds
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*/
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public void set(int index, int value) {
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int currentValue = get(index);
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update(index, value - currentValue);
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}
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/**
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* Gets the current value at the given index.
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*
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* @param index the 0-indexed position to query
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* @return the current value at the index
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* @throws IndexOutOfBoundsException if index is out of bounds
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*/
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public int get(int index) {
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if (index < 0 || index >= n) {
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throw new IndexOutOfBoundsException("Index " + index + " is out of bounds for size " + n);
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}
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if (index == 0) {
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return query(0);
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}
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return query(index) - query(index - 1);
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}
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/**
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* Returns the size of the array represented by this Fenwick Tree.
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*
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* @return the size of the array
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*/
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public int size() {
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return n;
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}
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/**
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* Returns the total sum of all elements in the array.
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*
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* @return the total sum
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*/
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public int totalSum() {
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return n > 0 ? query(n - 1) : 0;
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}
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}

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