CSES - Datatähti 2024 alku - Results
Submission details
Task:Säähavainnot
Sender:manttila
Submission time:2024-10-19 00:18:13 +0300
Language:C++ (C++17)
Status:READY
Result:0
Feedback
groupverdictscore
#1ACCEPTED0
Test results
testverdicttimescore
#1ACCEPTED0.03 s0details
#2ACCEPTED0.02 s0details
#3ACCEPTED0.02 s0details
#4ACCEPTED0.02 s0details
#5ACCEPTED0.02 s0details
#6ACCEPTED0.02 s0details
#7ACCEPTED0.02 s0details
#8ACCEPTED0.02 s0details

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