| Task: | Säähavainnot |
| Sender: | perusjuntti |
| Submission time: | 2023-11-03 09:20:23 +0200 |
| Language: | C++ (C++11) |
| Status: | READY |
| Result: | 0 |
| group | verdict | score |
|---|---|---|
| #1 | ACCEPTED | 0 |
| test | verdict | time | score | |
|---|---|---|---|---|
| #1 | ACCEPTED | 0.02 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
// Lähde: GeeksForGeeks
#include <iostream>
#include <stdio.h>
#include <vector>
using namespace std;
class Regression {
vector<float> x;
vector<float> y;
float coeff;
float constTerm;
float sum_xy;
float sum_x;
float sum_y;
float sum_x_square;
float sum_y_square;
public:
Regression() {
coeff = 0;
constTerm = 0;
sum_y = 0;
sum_y_square = 0;
sum_x_square = 0;
sum_x = 0;
sum_xy = 0;
}
void calculateCoefficient() {
float N = x.size();
float numerator
= (N * sum_xy - sum_x * sum_y);
float denominator
= (N * sum_x_square - sum_x * sum_x);
coeff = numerator / denominator;
}
void calculateConstantTerm() {
float N = x.size();
float numerator
= (sum_y * sum_x_square - sum_x * sum_xy);
float denominator
= (N * sum_x_square - sum_x * sum_x);
constTerm = numerator / denominator;
}
void takeInput(int n) {
for (int i = 0; i < n; ++i) {
float xi = i+1;
float yi;
cin >> yi;
sum_xy += xi * yi;
sum_x += xi;
sum_y += yi;
sum_x_square += xi * xi;
sum_y_square += yi * yi;
x.push_back(xi);
y.push_back(yi);
}
}
float predict(float x) {
return coeff * x + constTerm;
}
};
int main()
{
int n;
cin >> n;
for (int i = 0; i < n; ++i) {
Regression reg;
reg.takeInput(24);
reg.calculateCoefficient();
reg.calculateConstantTerm();
for (int j = 1; j <= 4; ++j) {
cout << reg.predict(j) << ' ';
}
for (int i = 0; i < 8; ++i)
cout << "? ";
}
}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 |
|---|
| -0.548667 -0.544797 -0.540928 ... 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 |
|---|
| 2.452 2.43552 2.41904 2.40257 ... 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 |
|---|
| 4.06467 4.13658 4.20849 4.2804... 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 |
|---|
| 17.013 16.8304 16.6477 16.465 ... 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 |
|---|
| -6.988 -6.94557 -6.90313 -6.86... 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 |
|---|
| 11.521 11.405 11.2891 11.1731 ... 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 |
|---|
| 0.998 0.83187 0.665739 0.49960... 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 |
|---|
| 13.884 13.7941 13.7042 13.6143... Truncated |
