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DSA Course: Interview Patterns and Problem Solving
Module 14: Bit Manipulation
Best Time to Buy and Sell Stock: Greedy Pattern
Maximum Subarray: Kadane Pattern
Move Zeroes: Two pointers Pattern
Contains Duplicate: Set Pattern
Valid Anagram: Frequency map Pattern
Longest Substring Without Repeating Characters: Sliding window Pattern
Valid Palindrome: Two pointers Pattern
Longest Palindromic Substring: Expand around center Pattern
Group Anagrams: Hash key Pattern
Binary Search: Classic search Pattern
Search Insert Position: Lower bound Pattern
First Bad Version: Predicate search Pattern
Search in Rotated Sorted Array: Rotated search Pattern
Find Minimum in Rotated Sorted Array: Rotated minimum Pattern
Valid Parentheses: Stack matching Pattern
Min Stack: Auxiliary stack Pattern
Daily Temperatures: Monotonic stack Pattern
Next Greater Element I: Monotonic stack Pattern
Evaluate Reverse Polish Notation: Stack evaluation Pattern
Reverse Linked List: Pointer reversal Pattern
Merge Two Sorted Lists: Dummy node Pattern
Linked List Cycle: Fast and slow pointers Pattern
Middle of the Linked List: Fast and slow pointers Pattern
Remove Nth Node From End: Two pointers Pattern
Binary Tree Traversals: DFS recursion Pattern
Maximum Depth of Binary Tree: Height recursion Pattern
Binary Tree Level Order Traversal: BFS queue Pattern
Validate Binary Search Tree: Range bounds Pattern
Lowest Common Ancestor: Recursive split Pattern
Connected Components: Adjacency DFS Pattern
Number of Islands: Grid DFS Pattern
Flood Fill: Boundary DFS Pattern
Clone Graph: Hash Map DFS Pattern
Course Schedule: Topological Sort Pattern
Union Find Components: Disjoint Set Pattern
Shortest Path in Unweighted Graph: BFS Distance Pattern
Climbing Stairs: Fibonacci DP Pattern
House Robber: Pick or Skip DP Pattern
Coin Change: Minimum Coins DP Pattern
Longest Increasing Subsequence: Binary Search DP Pattern
Longest Common Subsequence: 2D DP Pattern
0/1 Knapsack: Capacity DP Pattern
Longest Consecutive Sequence: Hash Set Pattern
Subarray Sum Equals K: Prefix Sum Hashmap Pattern
First Unique Character: Frequency Map Pattern
Find Duplicates: Frequency Map Pattern
Ransom Note: Character Availability Pattern
Sort Colors: Dutch National Flag Pattern
Next Permutation: Pivot and Suffix Reversal Pattern
Merge Intervals: Sort and Sweep Pattern
Find First and Last Position: Boundary Binary Search Pattern
Search a 2D Matrix: Flattened Binary Search Pattern
Subsets: Pick or Skip Recursion Pattern
Generate Parentheses: Valid State Backtracking Pattern
Combination Sum: Reuse Choice Backtracking Pattern
N-Queens: Constraint Backtracking Pattern
Word Search: Grid Backtracking Pattern
Kth Largest Element: Size-K Min-Heap Pattern
Top K Frequent Elements: Frequency Heap Pattern
Merge K Sorted Lists: Min-Heap Multiway Merge Pattern
Median Finder: Two Heaps Pattern
Task Scheduler: Greedy Max-Heap Pattern
Jump Game: Farthest Reach Greedy Pattern
Gas Station: Greedy Reset Pattern
Non-overlapping Intervals: Earliest End Greedy Pattern
Minimum Arrows to Burst Balloons: Interval End Greedy Pattern
Partition Labels: Last Occurrence Greedy Pattern
Single Number: XOR Cancellation Pattern
Power of Two: n and n-1 Pattern
Number of 1 Bits: Brian Kernighan Pattern
Single Number III: Rightmost Set Bit Pattern
XOR From 1 to N: Modulo Cycle Pattern
Prime Check: Square Root Trial Division Pattern
Sieve of Eratosthenes: Prime Marking Pattern
GCD: Euclidean Remainder Pattern
Binary Exponentiation: Fast Power Pattern
Modular Inverse: Extended Euclid Pattern
Implement Trie: Prefix Tree Pattern
Longest Common Prefix: Single Branch Trie Pattern
LRU Cache: Hash Map Plus Recency List Pattern
Segment Tree: Range Sum Query Pattern
Fenwick Tree: Binary Indexed Prefix Sum Pattern
CONTENTS

XOR From 1 to N: Modulo Cycle Pattern

Compute cumulative XOR using the repeating four-value cycle.

DSA Course: Interview Patterns and Problem Solving
Module 14: Bit Manipulation
dsa
bit-manipulation
+1
May 29, 2026
24
A

Learning Outcome

After this lesson, you should be able to recognize the repeating pattern in cumulative XOR from 1 to n.

Problem Statement

Given n, return the XOR of all integers from 1 to n.

InputOutputWhy
n = 1011The cumulative XOR pattern repeats every 4 values, and 10 mod 4 equals 2, so the answer is n + 1.

Brute Force Approach

Loop from 1 to n and XOR every value. This works but costs O(n).

Optimized Approach

Use the known cycle: n mod 4 equals 0 -> n, 1 -> 1, 2 -> n + 1, and 3 -> 0.

Exact Pseudocode

remainder = n % 4
if remainder == 0:
  return n
if remainder == 1:
  return 1
if remainder == 2:
  return n + 1
return 0

Reference Code

class Solution:
    def xorTillN(self, n):
        remainder = n % 4
        if remainder == 0:
            return n
        if remainder == 1:
            return 1
        if remainder == 2:
            return n + 1
        return 0

Sample Dry Run

StepStateResult
Observe cyclexor(1)=1, xor(2)=3, xor(3)=0, xor(4)=4Pattern repeats every 4
n = 1010 mod 4 = 2Use n + 1 case
Return10 + 1answer = 11

Complexity

MeasureValueReason
TimeO(1)The answer comes from one modulo operation and constant checks.
SpaceO(1)No extra storage is used.

Edge Cases

  • If n = 0 and the range is empty, return 0.
  • The case n mod 4 = 2 returns n + 1.
  • Do not confuse cumulative XOR with sum.

Interview Checklist

  • Memorize or derive the four-case cycle.
  • Use n % 4 to choose the answer.
  • Handle n = 0 if the prompt allows it.

FAQs

Why does the cycle repeat every 4?

XORing consecutive integers produces a stable four-case pattern based on the low two bits.

Can this answer range XOR queries?

Yes. XOR from L to R can be built from xor(1..R) xor xor(1..L-1).

What is the core pattern?

Modulo-4 XOR cycle.

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XOR From 1 to N - Modulo Cycle Pattern Practice Quiz
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Lesson 5 of 5 in Module 14: Bit Manipulation
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Single Number III: Rightmost Set Bit Pattern
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Prime Check: Square Root Trial Division Pattern
Module 15: Math & Number Theory
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