CF 2044A - Easy Problem

We are asked to count ordered pairs of positive integers $(a, b)$ such that $a + b = n$, for multiple test cases. Each test case gives a single integer $n$, and we must output the total number of pairs $(a, b)$ that satisfy the equation.

CF 2044A - Easy Problem

Rating: 800
Tags: brute force, math
Solve time: 1m 17s
Verified: yes

Solution

Problem Understanding

We are asked to count ordered pairs of positive integers $(a, b)$ such that $a + b = n$, for multiple test cases. Each test case gives a single integer $n$, and we must output the total number of pairs $(a, b)$ that satisfy the equation. The key is that both $a$ and $b$ must be strictly positive.

The constraints are small: $2 \le n \le 100$ and up to 99 test cases. Because $n$ is at most 100, any solution that runs in linear time per test case is perfectly acceptable. The naive approach will be fast enough, but we can still reason about a closed-form formula.

The smallest possible $n$ is 2. In that case, the only pair is $(1,1)$. If a solution ignores the positivity requirement and counts zero or negative numbers, it would produce an incorrect answer. Similarly, if the algorithm double-counted symmetric pairs or miscounted boundary values like $n=2$ or $n=100$, it would be wrong.

Approaches

A brute-force approach iterates through all possible values of $a$ from 1 to $n-1$ and counts the pairs where $b = n - a$ is positive. This works because $b$ is uniquely determined by $a$, and $a$ can never reach $n$ since then $b$ would be zero. The brute-force solution is correct but unnecessarily verbose for such a small problem.

The key insight is that for a given $n$, all pairs are of the form $(1, n-1), (2, n-2), ..., (n-1, 1)$. Each $a$ from 1 to $n-1$ produces a valid $b$, so the number of pairs is simply $n-1$. This is a closed-form solution and eliminates loops entirely, which is the simplest and most direct approach.

Approach Time Complexity Space Complexity Verdict
Brute Force O(n) per test case O(1) Accepted due to small n
Closed-Form O(1) per test case O(1) Accepted and simplest

Algorithm Walkthrough

  1. Read the number of test cases $t$. This determines how many times we will repeat the calculation.
  2. For each test case, read the integer $n$. This is the sum we want to split into two positive integers.
  3. Compute the number of valid pairs as $n-1$. This works because the pairs are exactly $(1, n-1), (2, n-2), ..., (n-1, 1)$, and there are $n-1$ terms.
  4. Print the result immediately or store it in a list to print after all test cases.

Why it works: the invariant is that for every integer $a$ in the range 1 to $n-1$, $b = n - a$ is automatically positive. No values are skipped or double-counted, and every possible pair is accounted for.

Python Solution

import sys
input = sys.stdin.readline

t = int(input())
for _ in range(t):
    n = int(input())
    print(n - 1)

The solution first reads the number of test cases. For each test case, it reads $n$ and prints $n-1$. Using sys.stdin.readline ensures fast input handling, even though the input size is small. No additional data structures are needed. The subtraction handles all valid $n \ge 2$ automatically, avoiding off-by-one errors.

Worked Examples

Trace Sample 1 input 3\n2\n4\n6\n:

Test Case n Computation Result
1 2 2 - 1 1
2 4 4 - 1 3
3 6 6 - 1 5

The table shows that for each $n$, subtracting 1 correctly counts all valid pairs. For $n=2$, only $(1,1)$ exists. For $n=4$, the pairs $(1,3),(2,2),(3,1)$ sum to 4, giving 3 pairs.

Complexity Analysis

Measure Complexity Explanation
Time O(t) Each test case requires a single subtraction.
Space O(1) No arrays or auxiliary storage are needed.

Given $t \le 99$ and $n \le 100$, the solution is instantaneous on modern hardware and well within memory limits.

Test Cases

import sys, io

def run(inp: str) -> str:
    sys.stdin = io.StringIO(inp)
    output = []
    t = int(input())
    for _ in range(t):
        n = int(input())
        output.append(str(n-1))
    return "\n".join(output)

# Provided samples
assert run("3\n2\n4\n6\n") == "1\n3\n5", "sample 1"

# Custom cases
assert run("1\n2\n") == "1", "minimum n"
assert run("1\n100\n") == "99", "maximum n"
assert run("2\n3\n5\n") == "2\n4", "small n, odd and even"
assert run("1\n50\n") == "49", "mid-range n"
assert run("1\n99\n") == "98", "odd n near max"
Test input Expected output What it validates
1\n2\n 1 Minimum n value
1\n100\n 99 Maximum n value
2\n3\n5\n 2\n4 Small n, mixture of odd and even
1\n50\n 49 Mid-range n
1\n99\n 98 Odd n near maximum, boundary handling

Edge Cases

The edge case with $n=2$ is handled correctly. The algorithm computes $2-1=1$, giving the single pair $(1,1)$. The edge case with maximum $n=100$ produces $99$, which is exactly the count of $(1,99),(2,98),...,(99,1)$. No loops are required, so the solution avoids off-by-one errors entirely. The positivity requirement is naturally enforced because $a$ starts from 1 and goes up to $n-1$.