I encountered this interesting problem during a recent coding assessment, and I wanted to document my approach (including where I fell short).
While I didn’t fully complete the solution within the time limit, I believe my approach was on the right track. Here’s the problem and my solution attempt.
The Challenge
The task involves transforming a binary sequence through particular operations until it reaches a terminal state.
Problem
You are given a string B representing a non-negative integer N in binary format. You must perform the following operations until N becomes 0:
- if N is odd, decrease it by 1;
- if N is even, halve it.
Your task is to determine how many operations are required to reduce N to 0.
For example, if B = "101100", it represents N = 44. The value would transform as follows:
- N = 44 (even): divide by 2 → 22
- N = 22 (even): divide by 2 → 11
- N = 11 (odd): subtract 1 → 10
- N = 10 (even): divide by 2 → 5
- N = 5 (odd): subtract 1 → 4
- N = 4 (even): divide by 2 → 2
- N = 2 (even): divide by 2 → 1
- N = 1 (odd): subtract 1 → 0
It took 8 operations to reduce the value to 0.
Implement a function:
func countOperations(_ B: inout String) -> Int
that calculates and returns the number of operations needed to transform B to 0.
Examples:
1. For B = "101100" (44 in decimal), the function should return 8 as shown above.
2. For B = "1001" (9 in decimal), the function should return 5:
- N = 9 (odd): subtract 1 → 8
- N = 8 (even): divide by 2 → 4
- N = 4 (even): divide by 2 → 2
- N = 2 (even): divide by 2 → 1
- N = 1 (odd): subtract 1 → 0
3. For B = "10101010111", the function should return 16.
4. For a string B consisting of "1" repeated 500,000 times, the function should return 999,999.
Design an efficient algorithm with these constraints:
- B contains only the characters '0' and '1'
- The length of B is between 1 and 1,500,000
- The binary representation follows the standard convention where the leftmost bit is most significant
- B may contain leading zeros
My Approach
Here’s my Swift implementation, which uses a recursive strategy to count the operations:
import Foundation
import Glibc
// This function counts operations needed to reduce a binary number to zero
// by either halving (for even numbers) or decrementing by one (for odd numbers)
public func countOperations(_ B: inout String) -> Int {
// Validate input is within acceptable range
if B.binaryToDecimal > 1500000 {
return 0
}
/// Recursive helper to track the transformation process
func transform(_ binary: String, operationCount: Int) -> Int {
let numericValue = binary.binaryToDecimal
// Terminal case: we've reached zero
if numericValue <= 0 {
return operationCount
}
// For even values, halve the number
if numericValue % 2 == 0 {
let nextValue = (numericValue / 2).decimalToBinary()
return transform(nextValue, operationCount: operationCount + 1)
} else {
// For odd values, decrement by one
let nextValue = (numericValue - 1).decimalToBinary()
return transform(nextValue, operationCount: operationCount + 1)
}
}
return transform(B, operationCount: 0)
}
/ Utility extension to convert binary string to decimal
extension String {
var binaryToDecimal: Int { return Int(strtoul(self, nil, 2)) }
}
// Utility extension to convert decimal back to binary representation
extension Int {
func decimalToBinary() -> String {
return String(self, radix: 2)
}
}
Key Insights
While I didn’t complete the solution during the interview, my approach focused on:
- Using recursion to track the steps
- Converting between binary strings and integers efficiently
- Handling the base case (reaching zero) to return the total operations
One improvement I could have made would be adding better handling for the special case mentioned in example 4, where the input is a string of 400,000 ones.
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