Reverse Bits
Detailed guide and Python implementation for the 'Reverse Bits' problem.
1. Concept Overview
The 'Reverse Bits' problem is a key challenge in the Bit Manipulation section.
This implementation focuses on easy-level logic in Python.
We prioritize technical accuracy and code readability in our provided solutions.
2. Real-World Applications
3. Visual Intuition
Visualizing the logic flow for Reverse Bits.
4. Prerequisites
5. Step-by-Step Thinking
1. Understand the problem
Read the problem statement for Reverse Bits carefully.
2. Formulate brute force
Draft a simple iterative solution.
3. Identify inefficiency
Look for redundant calculations.
4. Optimize search path
Use hashing or sorting to speed up the process.
5. Final Implementation
Clean up the code for production standards.
Problem Statement
Reverse bits of a given 32-bit unsigned integer.
Write a function reverseBits(n: int) -> int.
- •n must be a 32-bit unsigned integer
Examples
n = 43261596
964176192
The input binary string 00000010100101000001111010011100 reversed is 00111001011110000010100101000000, representing 964176192.
Need a Hint?
Edge Cases to Watch
- Empty input structures
- Single element inputs
- Large numerical bounds
Ready to Solve?
Open the problem in PyRun's browser-based Python editor. Your code runs fully offline — no server required.
Interview Insights & Variations
Complexity Analysis Breakdown
Why Time: Directly evaluates all possibilities.
Why Space: Uses standard local memory.
Why Time: Optimized paths reduce total operations.
Why Space: May trade memory for speed.
Optimized Solution Python Code
Optimized Solution Python Code
def reverse_bits_opt(n):
res = 0
for i in range(32):
bit = (n >> i) & 1
res = res | (bit << (31 - i))
return resBrute Force Code (Spoiler Guarded)
Brute Force Code (Spoiler Guarded)
def reverse_bits_brute(n):
s = bin(n)[2:].zfill(32)
return int(s[::-1], 2)Algorithm Pattern Checklist
When dealing with Bit Manipulation data patterns.
Core Prerequisites
Revision Key Notes
Common Mistakes & Pitfalls
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