Tasks Details
easy
1.
Triangle
Determine whether a triangle can be built from a given set of edges.
Task Score
100%
Correctness
100%
Performance
100%
An array A consisting of N integers is given. A triplet (P, Q, R) is triangular if 0 ≤ P < Q < R < N and:
- A[P] + A[Q] > A[R],
- A[Q] + A[R] > A[P],
- A[R] + A[P] > A[Q].
For example, consider array A such that:
A[0] = 10 A[1] = 2 A[2] = 5 A[3] = 1 A[4] = 8 A[5] = 20Triplet (0, 2, 4) is triangular.
Write a function:
def solution(A)
that, given an array A consisting of N integers, returns 1 if there exists a triangular triplet for this array and returns 0 otherwise.
For example, given array A such that:
A[0] = 10 A[1] = 2 A[2] = 5 A[3] = 1 A[4] = 8 A[5] = 20the function should return 1, as explained above. Given array A such that:
A[0] = 10 A[1] = 50 A[2] = 5 A[3] = 1the function should return 0.
Write an efficient algorithm for the following assumptions:
- N is an integer within the range [0..100,000];
- each element of array A is an integer within the range [−2,147,483,648..2,147,483,647].
Copyright 2009–2025 by Codility Limited. All Rights Reserved. Unauthorized copying, publication or disclosure prohibited.
Solution
Programming language used Python
Time spent on task 95 minutes
Notes
not defined yet
Code: 04:42:49 UTC,
java,
autosave
Analysis
expand all
Example tests
example
example, positive answer, length=6
example, positive answer, length=6
✘
RUNTIME ERROR
tested program terminated with exit code 1
tested program terminated with exit code 1
1.
0.012 s
RUNTIME ERROR,
tested program terminated with exit code 1
stderr:
Invalid result type, int expected, <class 'NoneType'> found.
example1
example, answer is zero, length=4
example, answer is zero, length=4
✘
RUNTIME ERROR
tested program terminated with exit code 1
tested program terminated with exit code 1
1.
0.012 s
RUNTIME ERROR,
tested program terminated with exit code 1
stderr:
Invalid result type, int expected, <class 'NoneType'> found.
Code: 06:15:45 UTC,
py,
autosave
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
def solution(A):
# Implement your solution here
print(A)
A= sorted(A)
print(A)
for i in range(2,len(A)):
if (A[i-2] + A[i-1]) > A[i]:
return 1
else:
return 0
solution([10, 2, 5, 1, 8, 20])
Code: 06:15:46 UTC,
py,
verify,
result: Failed
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
def solution(A):
# Implement your solution here
print(A)
A= sorted(A)
print(A)
for i in range(2,len(A)):
if (A[i-2] + A[i-1]) > A[i]:
return 1
else:
return 0
solution([10, 2, 5, 1, 8, 20])
Analysis
expand all
Example tests
1.
0.012 s
WRONG ANSWER,
got 0 expected 1
stdout:
[10, 2, 5, 1, 8, 20] [1, 2, 5, 8, 10, 20] [10, 2, 5, 1, 8, 20] [1, 2, 5, 8, 10, 20]
1.
0.012 s
OK
stdout:
[10, 2, 5, 1, 8, 20] [1, 2, 5, 8, 10, 20] [10, 50, 5, 1] [1, 5, 10, 50]
Code: 06:15:56 UTC,
py,
autosave
# you can write to stdout for debugging purposes, e.g.
# print("this is a debug message")
def solution(A):
# Implement your solution here
print(A)
A= sorted(A)
#print(A)
for i in range(2,len(A)):
if (A[i-2] + A[i-1]) > A[i]:
return 1
else:
return 0
solution([10, 2, 5, 1, 8, 20])
Code: 06:16:01 UTC,
py,
verify,
result: Failed
Analysis
Code: 06:16:30 UTC,
py,
autosave
Code: 06:16:38 UTC,
py,
verify,
result: Passed
Analysis
Code: 06:16:44 UTC,
py,
verify,
result: Passed
Analysis
Code: 06:16:47 UTC,
py,
final,
score: 
100
Analysis summary
The solution obtained perfect score.
Analysis
Detected time complexity:
O(N*log(N))
expand all
Correctness tests
1.
0.012 s
OK
2.
0.012 s
OK
3.
0.012 s
OK
4.
0.012 s
OK
5.
0.012 s
OK
6.
0.012 s
OK
1.
0.012 s
OK
2.
0.012 s
OK
3.
0.012 s
OK
4.
0.012 s
OK
5.
0.012 s
OK
6.
0.012 s
OK
1.
0.012 s
OK
2.
0.012 s
OK
3.
0.012 s
OK
4.
0.012 s
OK
5.
0.012 s
OK
6.
0.012 s
OK
1.
0.012 s
OK
2.
0.012 s
OK
3.
0.012 s
OK
4.
0.012 s
OK
5.
0.012 s
OK
6.
0.012 s
OK
1.
0.012 s
OK
2.
0.012 s
OK
3.
0.012 s
OK
4.
0.012 s
OK
5.
0.012 s
OK
6.
0.012 s
OK
1.
0.012 s
OK
2.
0.012 s
OK
3.
0.012 s
OK
4.
0.012 s
OK
5.
0.012 s
OK
6.
0.012 s
OK
1.
0.012 s
OK
2.
0.012 s
OK
3.
0.012 s
OK
4.
0.012 s
OK
5.
0.012 s
OK
6.
0.012 s
OK
1.
0.012 s
OK
2.
0.012 s
OK
3.
0.012 s
OK
4.
0.012 s
OK
5.
0.012 s
OK
6.
0.012 s
OK
1.
0.012 s
OK
2.
0.012 s
OK
3.
0.012 s
OK
4.
0.012 s
OK
5.
0.012 s
OK
6.
0.012 s
OK
1.
0.012 s
OK
2.
0.012 s
OK
3.
0.012 s
OK
4.
0.012 s
OK
5.
0.012 s
OK
6.
0.012 s
OK
expand all
Performance tests
1.
0.016 s
OK
2.
0.012 s
OK
3.
0.012 s
OK
4.
0.012 s
OK
5.
0.012 s
OK
6.
0.012 s
OK
1.
0.028 s
OK
2.
0.012 s
OK
3.
0.012 s
OK
4.
0.012 s
OK
5.
0.012 s
OK
6.
0.012 s
OK
1.
0.060 s
OK
2.
0.012 s
OK
3.
0.012 s
OK
4.
0.012 s
OK
5.
0.012 s
OK
6.
0.012 s
OK
1.
0.076 s
OK
2.
0.012 s
OK
3.
0.012 s
OK
4.
0.012 s
OK
5.
0.012 s
OK
6.
0.012 s
OK
1.
0.068 s
OK
2.
0.012 s
OK
3.
0.012 s
OK
4.
0.012 s
OK
5.
0.012 s
OK
6.
0.012 s
OK
1.
0.056 s
OK
2.
0.012 s
OK
3.
0.012 s
OK
4.
0.012 s
OK
5.
0.012 s
OK
6.
0.012 s
OK