Task: | Säähavainnot |
Sender: | manttila |
Submission time: | 2024-10-19 00:18:13 +0300 |
Language: | C++ (C++17) |
Status: | READY |
Result: | 0 |
group | verdict | score |
---|---|---|
#1 | ACCEPTED | 0 |
test | verdict | time | score | |
---|---|---|---|---|
#1 | ACCEPTED | 0.03 s | 0 | details |
#2 | ACCEPTED | 0.02 s | 0 | details |
#3 | ACCEPTED | 0.02 s | 0 | details |
#4 | ACCEPTED | 0.02 s | 0 | details |
#5 | ACCEPTED | 0.02 s | 0 | details |
#6 | ACCEPTED | 0.02 s | 0 | details |
#7 | ACCEPTED | 0.02 s | 0 | details |
#8 | ACCEPTED | 0.02 s | 0 | details |
Code
#include <iostream> #include <vector> #include <iomanip> #include <algorithm> using namespace std; // Function to calculate the predicted temperature based on previous hours vector<string> predictTemperatures(const vector<double>& temperatures) { vector<string> predictions(12, "?"); // Initialize with "?" // Calculate predictions based on a simple moving average for (int hour = 0; hour < 12; ++hour) { double sum = 0.0; double count = 0.0; // Collect data from the previous hours to predict the next hours for (int j = hour + 12 - 5; j <= hour + 12 + 5; ++j) { // Looking 5 hours back and forward if (j >= 0 && j < 24) { sum += temperatures[j]; count += 1.0; } } // If we have enough data, calculate the prediction if (count > 0) { double average = sum / count; // Assign average rounded to one decimal point predictions[hour] = to_string(average); // Format to one decimal place predictions[hour].erase(predictions[hour].find('.') + 2); // Remove everything after 1 decimal } } return predictions; } int main() { int n; // Number of days cin >> n; for (int i = 0; i < n; i++) { vector<double> temperatures(24); for (int j = 0; j < 24; j++) { cin >> temperatures[j]; } // Predict the next 12 hours (hours 12–23) vector<string> predictions = predictTemperatures(temperatures); // Print predictions for (int j = 0; j < 12; j++) { cout << fixed << setprecision(1) << predictions[j] << " "; } cout << endl; } return 0; }
Test details
Test 1
Verdict: ACCEPTED
input |
---|
1000 -0.4 -0.1 -0.2 -0.3 -0.4 -0.5 ... |
correct output |
---|
0.4 0.4 0.5 0.8 0.9 1.1 1.3 1.... |
user output |
---|
-0.8 -0.8 -0.8 -0.8 -0.7 -0.6 ... Truncated |
Test 2
Verdict: ACCEPTED
input |
---|
1000 2.9 2.9 2.9 2.1 2.6 2 2 2.2 2.... |
correct output |
---|
2.3 1.6 1.5 1.1 1 0.7 0.6 0.8 ... |
user output |
---|
2.1 2.1 2.0 2.1 2.1 2.1 2.1 2.... Truncated |
Test 3
Verdict: ACCEPTED
input |
---|
1000 6.6 6 6.4 6 4.6 4.6 4.2 4.3 4.... |
correct output |
---|
10 10.9 10.3 10.1 9.1 7.3 5.7 ... |
user output |
---|
3.1 3.1 3.3 3.6 4.0 4.6 5.3 5.... Truncated |
Test 4
Verdict: ACCEPTED
input |
---|
1000 19.4 20.2 19.1 18.9 18.3 17.3 ... |
correct output |
---|
18 18.2 17 17.5 17.2 16.2 12 8... |
user output |
---|
12.1 12.0 12.0 12.2 12.6 13.1 ... Truncated |
Test 5
Verdict: ACCEPTED
input |
---|
1000 -5.7 -5.8 -5.8 -5.9 -7.1 -6.9 ... |
correct output |
---|
-4.2 -4.1 -4 -3.8 -3.5 -3.2 -3... |
user output |
---|
-7.3 -7.3 -7.1 -6.9 -6.7 -6.4 ... Truncated |
Test 6
Verdict: ACCEPTED
input |
---|
1000 14.8 14.8 15.4 12.9 11.8 9.7 9... |
correct output |
---|
11.8 11 11.6 10.8 10.4 10.4 10... |
user output |
---|
8.1 8.1 8.3 8.5 8.7 9.2 9.7 9.... Truncated |
Test 7
Verdict: ACCEPTED
input |
---|
1000 0.7 1 2 1.4 0.6 -0.4 -0.9 -0.7... |
correct output |
---|
-1.3 -0.5 -0.6 -1 -3.2 -7.2 -6... |
user output |
---|
-1.1 -1.3 -1.5 -1.7 -1.8 -1.9 ... Truncated |
Test 8
Verdict: ACCEPTED
input |
---|
1000 15.1 15.3 14.9 14.4 14.4 13.7 ... |
correct output |
---|
15.6 15.9 16 15.2 14.6 14.4 13... |
user output |
---|
11.7 11.5 11.4 11.4 11.6 11.8 ... Truncated |