Task: | Säähavainnot |
Sender: | manttila |
Submission time: | 2024-10-19 00:20:31 +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 <cmath>using namespace std;// Function to calculate the predicted temperature for the next 12 hoursvector<string> predictTemperatures(const vector<double>& temperatures) {vector<string> predictions(12, "?"); // Initialize with "?"// Predict for each hour from 12 to 23for (int hour = 0; hour < 12; ++hour) {double sum = 0.0;double count = 0.0;// Calculate the average of the corresponding hour from the last 24 hoursfor (int j = hour + 12; j < 24; j++) { // Last 12 hours for current predictionsum += temperatures[j];count++;}// Check the previous hours from today to make predictionsfor (int j = hour; j < 12; j++) {sum += temperatures[j];count++;}if (count > 0) {double mean = sum / count;// Using a simple moving average for each hourpredictions[hour] = to_string(mean);predictions[hour].erase(predictions[hour].find('.') + 2); // Keep one decimal}}return predictions;}int main() {int n; // Number of dayscin >> 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 predictionsfor (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 |
---|
-0.5 -0.4 -0.4 -0.4 -0.4 -0.4 ... 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 |
---|
2.2 2.2 2.1 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 |
---|
4.8 4.9 4.9 5.0 5.1 5.3 5.5 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 |
---|
14.9 14.8 14.8 14.8 14.8 14.8 ... 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 |
---|
-6.5 -6.4 -6.4 -6.4 -6.4 -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 |
---|
10.1 10.1 10.0 9.8 9.7 9.6 9.7... 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 |
---|
-0.9 -0.9 -1.0 -1.1 -1.3 -1.4 ... 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 |
---|
12.8 12.8 12.7 12.7 12.7 12.8 ... Truncated |