| Task: | Säähavainnot |
| Sender: | EeliH |
| Submission time: | 2023-11-07 23:41:20 +0200 |
| Language: | Python3 (PyPy3) |
| Status: | READY |
| Result: | 62 |
| group | verdict | score |
|---|---|---|
| #1 | ACCEPTED | 62.13 |
| test | verdict | time | score | |
|---|---|---|---|---|
| #1 | ACCEPTED | 0.12 s | 8 | details |
| #2 | ACCEPTED | 0.12 s | 8.25 | details |
| #3 | ACCEPTED | 0.12 s | 8.13 | details |
| #4 | ACCEPTED | 0.12 s | 7.63 | details |
| #5 | ACCEPTED | 0.12 s | 7.75 | details |
| #6 | ACCEPTED | 0.12 s | 7.38 | details |
| #7 | ACCEPTED | 0.12 s | 7.25 | details |
| #8 | ACCEPTED | 0.12 s | 7.75 | details |
Code
w = [
[-0.04, 0.05, 0.05, -0.04, -0.00, 0.02, -0.06, 0.05, -0.02, 0.01, -0.05, 0.06, 0.01, 0.00, -0.06, 0.00, 0.01, 0.01, -0.02, 0.00, -0.02, -0.09, 0.06, 1.05, 0.02],
[-0.02, 0.02, 0.01, -0.03, 0.05, 0.03, -0.07, 0.02, 0.07, -0.04, -0.07, 0.16, -0.13, -0.00, -0.00, 0.03, 0.01, -0.04, 0.05, -0.05, -0.06, -0.01, 0.11, 0.97, 0.03],
[-0.10, 0.05, -0.01, -0.04, 0.17, 0.01, -0.05, 0.03, -0.04, -0.07, 0.05, -0.01, -0.03, -0.01, 0.01, 0.02, 0.01, -0.00, 0.03, -0.01, 0.01, -0.18, 0.13, 1.00, -0.03],
[-0.14, 0.07, -0.04, 0.03, 0.15, -0.00, -0.09, 0.10, -0.01, 0.01, -0.08, 0.07, -0.05, -0.04, 0.00, 0.02, -0.02, 0.10, -0.02, -0.05, 0.11, -0.06, 0.10, 0.84, 0.01],
[-0.11, -0.07, 0.03, 0.03, 0.06, 0.13, -0.01, -0.03, 0.01, -0.02, -0.00, -0.03, -0.07, -0.03, 0.06, 0.12, -0.10, 0.05, 0.17, -0.06, 0.03, -0.06, 0.07, 0.82, -0.01],
[0.00, -0.15, 0.02, -0.06, -0.01, 0.18, 0.14, -0.06, -0.04, 0.07, -0.01, -0.09, -0.12, 0.17, -0.14, 0.14, 0.01, 0.06, 0.17, 0.01, 0.02, -0.06, 0.11, 0.60, 0.06],
None,
None,
None,
None,
None,
None
]
def predict(nums: [float]) -> [str]:
res = []
for v in w:
if v == None:
res.append("?")
else:
res.append("%.1f" % sum(v[i] * nums[i] for i in range(24)))
return res
if __name__ == "__main__":
n = int(input())
for i in range(n):
nums = [float(x) for x in input().split(" ")]
print(" ".join(predict(nums)))
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 |
|---|
| 0.3 0.3 0.2 0.2 0.1 -0.1 ? ? ?... 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 |
|---|
| 2.6 2.7 2.6 2.5 2.4 2.1 ? ? ? ... 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 |
|---|
| 10.2 10.1 9.7 9.4 8.9 7.7 ? ? ... 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 |
|---|
| 17.2 17.6 16.9 17.3 16.4 15.1 ... 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 |
|---|
| -4.3 -4.6 -4.4 -4.7 -4.8 -5.0 ... 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 |
|---|
| 12.9 13.0 12.6 12.4 11.6 10.6 ... 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 |
|---|
| -1.6 -1.7 -1.7 -1.8 -1.9 -2.2 ... 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 |
|---|
| 15.0 15.3 14.5 14.7 14.0 12.9 ... Truncated |