CSES - Datatähti 2024 alku - Results
Submission details
Task:Säähavainnot
Sender:qanpi
Submission time:2023-11-11 22:56:56 +0200
Language:Python3 (CPython3)
Status:READY
Result:0
Feedback
groupverdictscore
#10
Test results
testverdicttimescore
#10.03 s0details
#20.03 s0details
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#40.03 s0details
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#80.03 s0details

Code

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# def normalize(arr, mx, mn):
#     for i in range(len(arr)): 
#         for j in range(len(arr[i])):
#             arr[i][j] = arr[i][j]*100 / (mx - mn)
    
#     return arr

def relu(x):
    return max(0.0, x)

def custom_predict(input):
    for key, layer in layers.items(): 
        # print(layer)
        config = layer["config"]
        weights = layer["weights"]
        biases = layer["biases"]

        # print(config)
        neurons = config["units"]
        output = [0]*neurons

        for n in range(neurons):
            activation = 0

            assert len(input) == len(weights[n])

            for (i, w) in zip(input, weights[n]): 
                activation += i * w
            activation += biases[n]
            
            # print(activation)
            if(config["activation"] == 'relu'):
                output[n] = relu(activation)
            else: 
                output[n] = activation
        
        input = output 

    return input

import sys 
import numpy as np
file = open("data.txt", "r")
sys.stdin = file
total_correct = 0
total_incorrect = 0

data = []
days = int(input())

for i in range(days):
    temps = [float(x) for x in input().split()]
    data.append(temps)

for d in data: 
    ans = custom_predict(d[:24])
    print(" ".join([format(x, ".1f") for x in ans]))

    truth = d[24:]
    diff = np.abs(np.array(ans) - np.array(truth)) 
 
    correct = np.count_nonzero(diff < 0.75)
    incorrect = np.count_nonzero(diff >= 2.05)
 
    total_correct += correct
    total_incorrect += incorrect


score = 25 * (total_correct - total_incorrect) / days
print(total_correct, total_incorrect, score)
file.close()

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 "/box/input/code.py", line 44, in <module>
    i...

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 "/box/input/code.py", line 44, in <module>
    i...

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 "/box/input/code.py", line 44, in <module>
    i...

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 "/box/input/code.py", line 44, in <module>
    i...

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 "/box/input/code.py", line 44, in <module>
    i...

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 "/box/input/code.py", line 44, in <module>
    i...

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 "/box/input/code.py", line 44, in <module>
    i...

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 "/box/input/code.py", line 44, in <module>
    i...