CSES - Datatähti 2024 alku - Results
Submission details
Task:Säähavainnot
Sender:EeliH
Submission time:2023-11-08 17:23:25 +0200
Language:Python3 (PyPy3)
Status:READY
Result:0
Feedback
groupverdictscore
#10
Test results
testverdicttimescore
#10.07 s0details
#20.06 s0details
#30.07 s0details
#40.06 s0details
#50.07 s0details
#60.07 s0details
#70.07 s0details
#80.06 s0details

Code

w = [
    [0.03, -0.01, 0.00, 0.02, -0.08, 0.08, -0.04, 0.02, -0.01, -0.00, -0.01, -0.02, 0.04, -0.02, -0.00, -0.03, 0.04, -0.04, 0.02, 0.01, -0.04, -0.03, 0.00, 1.06, 0.06, ],
    [-0.03, 0.01, 0.03, -0.03, 0.01, 0.08, -0.07, -0.01, 0.08, -0.08, -0.00, 0.10, -0.11, 0.02, -0.06, 0.06, 0.05, -0.09, 0.05, -0.01, -0.03, -0.03, 0.08, 0.98, 0.01, ],
    [-0.11, 0.05, -0.02, 0.04, 0.09, 0.07, -0.09, 0.04, 0.02, -0.12, 0.01, 0.06, -0.06, -0.01, -0.01, 0.02, 0.02, 0.05, -0.03, 0.03, -0.02, -0.18, 0.20, 0.94, 0.00, ],
    [-0.17, -0.00, 0.04, 0.06, 0.11, 0.04, -0.05, -0.05, 0.04, 0.07, -0.05, 0.02, -0.11, 0.02, 0.05, 0.00, -0.05, 0.07, 0.04, -0.05, 0.01, -0.02, 0.12, 0.85, -0.01, ],
    [-0.14, 0.00, -0.06, 0.03, 0.12, 0.11, -0.02, 0.04, -0.04, 0.01, 0.02, -0.03, -0.10, 0.13, -0.16, 0.15, -0.12, 0.13, 0.08, 0.04, -0.07, -0.01, 0.06, 0.81, -0.04, ],
    [-0.09, -0.01, -0.01, -0.03, -0.01, 0.19, 0.07, 0.04, -0.04, 0.01, -0.08, -0.06, -0.10, 0.10, -0.06, 0.10, 0.09, 0.11, -0.01, 0.13, -0.07, -0.03, 0.11, 0.62, -0.03, ],
    [-0.17, 0.10, -0.05, -0.13, 0.04, 0.12, 0.15, 0.01, 0.09, -0.14, 0.00, -0.08, 0.02, -0.02, 0.12, -0.03, 0.02, 0.32, -0.02, 0.15, -0.15, -0.01, 0.05, 0.58, 0.07, ],
    [-0.18, 0.11, -0.04, -0.00, 0.11, -0.17, -0.05, 0.20, 0.12, -0.11, 0.16, -0.18, 0.00, -0.04, 0.08, 0.17, -0.04, 0.32, -0.00, 0.06, -0.07, -0.02, 0.05, 0.48, -0.01, ],
    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)) + nums[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:

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
(empty)

Error:
Traceback (most recent call last):
  File "input/code.py", line 32, in <module>
    print(...

Test 2

Verdict:

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
(empty)

Error:
Traceback (most recent call last):
  File "input/code.py", line 32, in <module>
    print(...

Test 3

Verdict:

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
(empty)

Error:
Traceback (most recent call last):
  File "input/code.py", line 32, in <module>
    print(...

Test 4

Verdict:

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
(empty)

Error:
Traceback (most recent call last):
  File "input/code.py", line 32, in <module>
    print(...

Test 5

Verdict:

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
(empty)

Error:
Traceback (most recent call last):
  File "input/code.py", line 32, in <module>
    print(...

Test 6

Verdict:

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
(empty)

Error:
Traceback (most recent call last):
  File "input/code.py", line 32, in <module>
    print(...

Test 7

Verdict:

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
(empty)

Error:
Traceback (most recent call last):
  File "input/code.py", line 32, in <module>
    print(...

Test 8

Verdict:

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
(empty)

Error:
Traceback (most recent call last):
  File "input/code.py", line 32, in <module>
    print(...