What is the main idea behind using XOR to find two non-repeating elements in an array?
XOR of all elements gives XOR of the two unique elements because pairs cancel out. Then, use a set bit to separate elements into two groups to find each unique element.
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beginner
Why does XOR of two identical numbers result in zero?
Because XOR compares bits and returns 0 if bits are the same. So, a number XOR itself cancels out to zero.
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intermediate
How do you find a set bit in the XOR of two unique numbers?
Use 'xor & (-xor)' to isolate the rightmost set bit, which helps separate numbers into two groups.
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beginner
What is the time complexity of finding two non-repeating elements using XOR?
O(n), because we scan the array a few times but only once each for XOR and grouping.
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intermediate
Explain the step to separate elements into two groups using the set bit.
Check each element's bit at the set bit position. If bit is 1, put in group 1; else, group 2. XOR each group to find unique elements.
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What does XOR of a number with itself equal?
AThe number itself
B1
C0
DUndefined
✗ Incorrect
XOR of a number with itself cancels out all bits, resulting in 0.
What is the first step to find two unique elements using XOR?
AXOR all elements in the array
BSort the array
CCount frequency of each element
DUse a hash map
✗ Incorrect
XORing all elements gives XOR of the two unique elements since duplicates cancel out.
How do you find a bit that differs between the two unique elements?
AFind leftmost set bit in XOR result
BFind rightmost set bit in XOR result
CFind the highest bit in the array
DUse AND of all elements
✗ Incorrect
The rightmost set bit in XOR result shows a bit where the two unique numbers differ.
After separating elements into two groups by the set bit, what operation finds each unique element?
ACount elements in each group
BSum all elements in each group
CSort each group
DXOR all elements in each group
✗ Incorrect
XORing each group cancels duplicates and leaves the unique element.
What is the space complexity of the XOR method for two unique elements?
AO(1)
BO(n)
CO(log n)
DO(n^2)
✗ Incorrect
The XOR method uses constant extra space.
Describe the full process to find two non-repeating elements in an array using XOR.
Think about how XOR cancels duplicates and how to split elements by a differing bit.
You got /4 concepts.
Why does separating elements by a set bit in XOR help find the two unique numbers?
Focus on how the differing bit splits the array.
You got /4 concepts.
Practice
(1/5)
1. What is the main purpose of using XOR operation to find two non-repeating elements in an array where all other elements repeat twice?
easy
A. To cancel out all repeating elements and isolate the XOR of the two unique elements
B. To sort the array in ascending order
C. To count the frequency of each element
D. To reverse the array elements
Solution
Step 1: Understand XOR behavior with duplicates
XOR of two identical numbers is 0, so XORing all elements cancels out duplicates.
Step 2: Result after XORing all elements
The result is XOR of the two unique elements, isolating their combined difference.
Final Answer:
To cancel out all repeating elements and isolate the XOR of the two unique elements -> Option A
Quick Check:
XOR cancels duplicates = isolate unique elements [OK]
Hint: XOR duplicates become zero, leaving unique elements XOR [OK]
Common Mistakes:
Thinking XOR sorts the array
Confusing XOR with counting frequencies
Assuming XOR reverses elements
2. Which of the following C# code snippets correctly initializes the XOR variable to start finding two non-repeating elements in an integer array arr?
easy
A. int xor = 0;
B. int xor = arr[0];
C. int xor = -1;
D. int xor = 1;
Solution
Step 1: Understand XOR identity element
XOR with 0 leaves the number unchanged, so start with 0 to accumulate XOR of all elements.
Step 2: Initialization correctness
Initializing xor to 0 ensures correct cumulative XOR of array elements.
Final Answer:
int xor = 0; -> Option A
Quick Check:
Start XOR with 0 to accumulate values correctly [OK]
Hint: Start XOR with 0 because 0 ^ x = x [OK]
Common Mistakes:
Starting XOR with 1 changes results
Using negative numbers without reason
Initializing with first array element causes errors
3. What will be the output of the following C# code snippet?
int[] arr = {2, 3, 7, 9, 2, 3};
int xor = 0;
foreach (int num in arr) {
xor ^= num;
}
Console.WriteLine(xor);
medium
A. 9
B. 0
C. 7
D. 14
Solution
Step 1: XOR all elements in the array
Calculate xor = 2 ^ 3 ^ 7 ^ 9 ^ 2 ^ 3.
Since 2 ^ 2 = 0 and 3 ^ 3 = 0, this reduces to 7 ^ 9.
Step 2: Calculate XOR of remaining unique elements
7 in binary: 0111, 9 in binary: 1001
XOR: 0111 ^ 1001 = 1110 (binary) = 14 (decimal).
Final Answer:
14 -> Option D
Quick Check:
Duplicates cancel, XOR unique = 7 ^ 9 = 14 [OK]
Hint: Duplicates XOR to zero, XOR unique elements left [OK]
Common Mistakes:
Forgetting duplicates cancel out
Calculating XOR incorrectly
Assuming output is one unique element
4. Identify the error in the following C# code snippet that attempts to find two non-repeating elements using XOR:
int[] arr = {4, 1, 2, 1, 2, 5};
int xor = 0;
foreach (int num in arr) {
xor ^= num;
}
int setBit = xor & ~(xor - 1);
int x = 0, y = 0;
foreach (int num in arr) {
if ((num & setBit) == 0)
x ^= num;
else
y ^= num;
}
Console.WriteLine(x + ", " + y);
medium
A. The expression to find setBit is incorrect; it should be 'xor & (-xor)' instead of 'xor & ~(xor - 1)'
B. The initial xor should start with arr[0] instead of 0
C. No error; the code will output the two unique elements correctly
D. The if condition should check '(num & setBit) != 0' instead of '== 0'
Solution
Step 1: Check how setBit is calculated
In two's complement, 'xor & ~(xor - 1)' is equivalent to 'xor & (-xor)', both isolate the rightmost set bit correctly.
30 in binary: 00011110, 40 in binary: 00101000
XOR: 00011110 ^ 00101000 = 00110110 (54 decimal).
Use this to separate elements and find unique ones: 30 and 40.
Final Answer:
[30, 40] -> Option B
Quick Check:
Duplicates cancel, unique elements are 30 and 40 [OK]