Why Two Non Repeating Elements in Array Using XOR in DSA C++?

The Big Idea

Discover how a simple XOR trick can save you hours of tedious searching!

The Scenario

Imagine you have a big box of socks where every sock has a matching pair except two socks that are unique. You want to find those two unique socks quickly without checking every single sock against all others.

The Problem

Checking each sock against all others one by one takes a lot of time and effort, especially if the box is huge. It's easy to make mistakes or miss pairs when doing this manually.

The Solution

Using XOR, a special math trick, you can find the two unique socks in just one pass through the box. XOR helps cancel out all the pairs automatically, leaving only the unique socks.

Before vs After

✗ Before

for (int i = 0; i < n; i++) {
  bool found_pair = false;
  for (int j = 0; j < n; j++) {
    if (i != j && arr[i] == arr[j]) {
      found_pair = true;
      break;
    }
  }
  if (!found_pair) {
    // unique element found
  }
}

✓ After

int xor_all = 0;
for (int num : arr) {
  xor_all ^= num;
}
// xor_all now has XOR of two unique elements

What It Enables

This method lets you find two unique elements in a large list quickly and without extra memory, making your program fast and efficient.

Real Life Example

Finding two unique defective products in a large batch where every other product is perfectly paired, without checking each product multiple times.

Key Takeaways

Manual pair checking is slow and error-prone.

XOR cancels out pairs automatically.

Efficiently finds two unique elements in one pass.

Practice

1. What is the main idea behind using XOR to find two non-repeating elements in an array where every other element repeats?

easy

A. XOR counts the frequency of each element

B. XOR sorts the array to separate unique elements

C. XOR of all elements gives XOR of the two unique elements

D. XOR swaps the two unique elements in the array

Solution

1. Step 1: Understand XOR properties

   XOR of a number with itself is 0, and XOR with 0 is the number itself.

2. Step 2: Apply XOR to all elements

   XORing all elements cancels out repeating elements, leaving XOR of two unique elements.

3. Final Answer:

   XOR of all elements gives XOR of the two unique elements -> Option C

4. Quick Check:

   XOR cancels duplicates, leaving unique pair XOR [OK]

Hint: XOR all elements to isolate unique pair XOR result [OK]

Common Mistakes:

• Thinking XOR sorts or counts elements
• Assuming XOR gives unique elements directly
• Confusing XOR with addition or subtraction

2. Which of the following C++ code snippets correctly initializes the XOR variable to find two unique elements in an array arr of size n?

easy

A. int xorVal = 0; for(int i = 1; i <= n; i++) xorVal ^= arr[i];

B. int xorVal = 0; for(int i = 0; i < n; i++) xorVal ^= arr[i];

C. int xorVal = 1; for(int i = 0; i < n; i++) xorVal ^= arr[i];

D. int xorVal = arr[0]; for(int i = 1; i < n; i++) xorVal += arr[i];

Solution

1. Step 1: Initialize XOR with 0

   Start with 0 because XOR with 0 returns the number itself.

2. Step 2: Loop through array correctly

   Loop from 0 to n-1 to cover all elements; use XOR assignment operator ^=.

3. Final Answer:

   int xorVal = 0; for(int i = 0; i < n; i++) xorVal ^= arr[i]; -> Option B

4. Quick Check:

   Correct loop and XOR initialization [OK]

Hint: Initialize XOR with 0 and loop from 0 to n-1 [OK]

Common Mistakes:

• Starting loop from 1 and missing first element
• Using addition instead of XOR
• Initializing XOR with 1 instead of 0
• Looping out of array bounds

3. What will be the output of the following C++ code snippet?

int arr[] = {2, 3, 7, 9, 2, 3};
int n = 6;
int xorVal = 0;
for(int i = 0; i < n; i++) {
    xorVal ^= arr[i];
}
std::cout << xorVal << std::endl;

medium

A. 14

B. 9

C. 7

D. 0

Solution

1. Step 1: XOR all elements

   Calculate XOR stepwise: 0^2=2, 2^3=1, 1^7=6, 6^9=15, 15^2=13, 13^3=14.

2. Step 2: Result is XOR of two unique elements

   Since 2 and 3 repeat, XOR leaves 7 and 9 combined as 14.

3. Final Answer:

   14 -> Option A

4. Quick Check:

   XOR of unique pair (7^9) = 14 [OK]

Hint: XOR duplicates cancel; result is XOR of unique elements [OK]

Common Mistakes:

• Calculating XOR incorrectly stepwise
• Assuming output is one unique element
• Confusing XOR with sum

4. Identify the error in the following code snippet that attempts to find two non-repeating elements using XOR:

int xorVal = 0;
for(int i = 0; i <= n; i++) {
    xorVal ^= arr[i];
}

medium

A. Loop runs out of array bounds causing runtime error

B. XOR operator is used incorrectly

C. xorVal should be initialized with arr[0]

D. Loop should start from 1 instead of 0

Solution

1. Step 1: Check loop bounds

   Loop runs from i=0 to i<=n, which means i goes up to n, exceeding array index (0 to n-1).

2. Step 2: Consequence of out-of-bounds access

   Accessing arr[n] causes undefined behavior or runtime error.

3. Final Answer:

   Loop runs out of array bounds causing runtime error -> Option A

4. Quick Check:

   Array index must be less than n [OK]

Hint: Use i < n in loops to avoid out-of-bounds [OK]

Common Mistakes:

• Using <= instead of < in loop condition
• Initializing xorVal incorrectly
• Starting loop from wrong index

5. Given the array arr = {4, 1, 2, 1, 2, 5}, which of the following steps correctly finds the two non-repeating elements using XOR?

hard

A. Add all elements and subtract twice the sum of repeating elements

B. Sort array, then pick first two elements as unique

C. XOR all elements to get 1, then XOR with 0 to get unique elements

D. XOR all elements to get 1, find rightmost set bit, partition array by this bit, XOR partitions separately

Solution

1. Step 1: XOR all elements

   XOR(4^1^2^1^2^5) = 4 ^ (1^1) ^ (2^2) ^ 5 = 4 ^ 0 ^ 0 ^ 5 = 1.

2. Step 2: Find rightmost set bit of XOR result

   Rightmost set bit of 1 is 1 (binary 0001).

3. Step 3: Partition array by this bit and XOR separately

   Group elements with this bit set and not set, XOR each group to find unique elements 4 and 5.

4. Final Answer:

   XOR all elements to get 1, find rightmost set bit, partition array by this bit, XOR partitions separately -> Option D

5. Quick Check:

   Partitioning by set bit isolates unique elements [OK]

Hint: Use rightmost set bit to split and XOR partitions [OK]

Common Mistakes:

• Skipping partition step after XOR
• Using sorting instead of XOR
• Confusing addition with XOR