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Solve Longest Equal Subarray After Bit Flips using Python Language

Solve Longest Equal Subarray After Bit Flips using Python to enhance your skills with python coding practice , master coding concepts, and prepare for interviews with practical exercises and detailed solutions.

Longest Equal Subarray After Bit Flips

Difficulty : Hard

Categories :

  • Bit manipulation

You are given an array of integers nums and an integer k. You can perform any of the following operations at most k times:

  • Select any element in the array and flip any number of its bits (0 to 1 or 1 to 0)
  • Each bit flip counts as one operation

Your task is to maximize the length of the longest subarray that contains all equal elements after at most k operations.

Constraints:

  • 1 ≤ nums.length ≤ 10^5
  • 1 ≤ nums[i] ≤ 10^9
  • 0 ≤ k ≤ 20
  • Solution must use bit manipulation efficiently

Examples:

Input: nums = [4,2,4,4], k = 1
Output: 4
Explanation:
Change 2 (binary: 10) to 4 (binary: 100) with one bit flip
Array becomes [4,4,4,4], longest equal subarray length is 4
Input: nums = [1,2,4,8], k = 2
Output: 2
Explanation:
Two bit flips needed to make any two numbers equal
Can change 1 (001) to 2 (010) with one bit flip
Array can become [2,2,4,8], longest equal subarray length is 2

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Choose from the following categories

Strings A sequence of characters used to represent text, with problems focused on manipulation, searching, and pattern matching.

Arrays A collection of elements stored in contiguous memory locations, allowing efficient random access and manipulation.

Linked Lists A linear data structure where each element (node) points to the next, offering dynamic memory allocation and efficient insertions/deletions.

Trees A hierarchical data structure with nodes connected by edges, used in applications like databases, file systems, and parsing.

Graphs A collection of nodes (vertices) connected by edges, representing relationships, widely used in networking, routing, and social networks.

Dynamic Programming An optimization technique that solves problems by breaking them into overlapping subproblems and storing their results.

Backtracking A problem-solving method that explores all possibilities recursively, backtracking when a solution is not feasible.

Sorting Algorithms Techniques for arranging elements in a specific order, such as quicksort, mergesort, and bubble sort, essential for data organization.

Searching Algorithms Methods for finding elements in a dataset, such as binary search, linear search, and graph traversal techniques.

Mathematics A field of study involving numbers, calculations, and logical reasoning, forming the foundation for algorithms and problem-solving.

Recursion A programming technique where a function calls itself to solve smaller instances of the same problem, often used in divide-and-conquer approaches.

Bit Manipulation Operations performed directly on binary representations of data, used for efficient computations and optimization tasks.