Problem Statement
Implementation lab in ADT Contracts and Complexity
Mission
Count integer halvings until n reaches one.
Learning outcome: Implement a logarithmic halving process
Correctness contract
Invariant: An ADT contract describes observable behavior independently from implementation.
Required technique: Use an iterative integer-halving loop and count only successful reductions while the value is greater than one.
Complexity target: time O(log n); space O(1).
Input and output
Input: One integer n. Whitespace may be spaces or line breaks.
Output: Print the single exact numeric result with no label. Return it as a String; Main.java prints it without adding other text.
Assumptions:
- n is at least 1.
Before you code
- Restate the input and output contract, then predict the visible example without running code.
- Implement the core state transition: Use an iterative integer-halving loop and count only successful reductions while the value is greater than one.
- Trace the smallest boundary case, verify exact formatting, and justify the authored time and auxiliary-space bounds.
Implement Practice.solve(Scanner sc). Keep every provided filename and public class name unchanged.
Sample input
16Sample output
4Why the sample works: Visible walkthrough for the ordinary non-trivial path. Each successful integer division by two contributes one iteration, and counting stops once the value is no greater than one. Input `16` therefore produces `4`.
Progressive hints
Try the trace and first milestone before opening a hint. Open them in order.
Open hint 1Hint 1 β Contract: identify what each parsed variable represents and write the invariant beside the loop or recursive method.
Open hint 2Hint 2 β Next step: Trace the smallest non-trivial input and write the structure state after the operation before coding the loop.
Open hint 3Hint 3 β Verification: compare the structure state before and after one operation, then test the smallest valid input and a duplicate or unreachable case when allowed.