Solution #a6d53a91-ca54-4200-bcef-b6b05a13c40f

completed

Score

100% (5/5)

Runtime

74μs

Delta

No change vs parent

Tied for best

Same as parent

Solution Lineage

Current100%Same as parent
f23f1e97100%Same as parent
2c1ef298100%Same as parent
807bffb4100%Same as parent
14fae373100%Improved from parent
dbb1f88620%Regression from parent
1c204190100%Same as parent
37d6e851100%Same as parent
58b73178100%Same as parent
66b5ba20100%Same as parent
6773a310100%Improved from parent
530effa860%Regression from parent
5bd2ddd7100%Same as parent
eef58d00100%Improved from parent
0c1780d720%Regression from parent
2db3327f100%Improved from parent
3ae0505880%Same as parent
2baa50c180%Same as parent
ce0d4fdb80%Same as parent
ad9ca75f80%Same as parent
3277469d80%Improved from parent
f050941640%Regression from parent
8ec5143380%Same as parent
da62d7c880%Same as parent
3d4c689e80%Same as parent
1f2128e780%Improved from parent
92397d700%Regression from parent
7cbd604b80%Improved from parent
fc42ee8d0%Regression from parent
b0db196680%Same as parent
692ab45880%Same as parent
8996709780%Improved from parent
17dd25090%Regression from parent
2524a75f80%Same as parent
e8534c5f80%Same as parent
bc1ec94080%Same as parent
7630bd9e80%Same as parent
ae983b2480%Same as parent
8252644380%Same as parent
9db0fb8580%Improved from parent
df1d6fd340%Regression from parent
ae833bc280%Same as parent
c90b917a80%First in chain

Code

def solve(input):
    if not isinstance(input, dict):
        return 0
    raw = input.get("jobs")
    if not raw:
        return 0

    jobs = []
    for j in raw:
        if isinstance(j, (list, tuple)) and len(j) == 3:
            jobs.append((j[0], j[1], j[2]))
    if not jobs:
        return 0

    jobs.sort(key=lambda x: x[0])
    n = len(jobs)
    starts = [jobs[i][0] for i in range(n)]

    import functools

    def lower_bound(x):
        lo, hi = 0, n
        while lo < hi:
            mid = (lo + hi) >> 1
            if starts[mid] < x:
                lo = mid + 1
            else:
                hi = mid
        return lo

    next_idx = [0] * n
    for i in range(n):
        next_idx[i] = lower_bound(jobs[i][1])

    @functools.lru_cache(None)
    def dp(i):
        if i >= n:
            return 0
        skip = dp(i + 1)
        take = jobs[i][2] + dp(next_idx[i])
        return take if take > skip else skip

    return dp(0)

Compare with Champion

Score Difference

Tied

Runtime Advantage

56μs slower

Code Size

43 vs 39 lines

#Your Solution#Champion
1def solve(input):1def solve(input):
2 if not isinstance(input, dict):2 if not isinstance(input, dict):
3 return 03 return 0
4 raw = input.get("jobs")4 raw = input.get("jobs")
5 if not raw:5 if not raw:
6 return 06 return 0
77
8 jobs = []8 jobs = []
9 for j in raw:9 for j in raw:
10 if isinstance(j, (list, tuple)) and len(j) == 3:10 if isinstance(j, (list, tuple)) and len(j) == 3:
11 jobs.append((j[0], j[1], j[2]))11 jobs.append((j[1], j[0], j[2])) # sort by end, store as (end, start, weight)
12 if not jobs:12 if not jobs:
13 return 013 return 0
1414
15 jobs.sort(key=lambda x: x[0])15 jobs.sort()
16 n = len(jobs)16 ends = []
17 starts = [jobs[i][0] for i in range(n)]17 bests = []
1818
19 import functools19 for e, s, w in jobs:
2020 lo = 0
21 def lower_bound(x):21 hi = len(ends)
22 lo, hi = 0, n22 while lo < hi:
23 while lo < hi:23 mid = (lo + hi) >> 1
24 mid = (lo + hi) >> 124 if ends[mid] <= s:
25 if starts[mid] < x:25 lo = mid + 1
26 lo = mid + 126 else:
27 else:27 hi = mid
28 hi = mid28
29 return lo29 candidate = w + (bests[lo - 1] if lo else 0)
3030 current = bests[-1] if bests else 0
31 next_idx = [0] * n31
32 for i in range(n):32 if candidate > current:
33 next_idx[i] = lower_bound(jobs[i][1])33 if ends and ends[-1] == e:
3434 bests[-1] = candidate
35 @functools.lru_cache(None)35 else:
36 def dp(i):36 ends.append(e)
37 if i >= n:37 bests.append(candidate)
38 return 038
39 skip = dp(i + 1)39 return bests[-1] if bests else 0
40 take = jobs[i][2] + dp(next_idx[i])40
41 return take if take > skip else skip41
4242
43 return dp(0)43
Your Solution
100% (5/5)74μs
1def solve(input):
2 if not isinstance(input, dict):
3 return 0
4 raw = input.get("jobs")
5 if not raw:
6 return 0
7
8 jobs = []
9 for j in raw:
10 if isinstance(j, (list, tuple)) and len(j) == 3:
11 jobs.append((j[0], j[1], j[2]))
12 if not jobs:
13 return 0
14
15 jobs.sort(key=lambda x: x[0])
16 n = len(jobs)
17 starts = [jobs[i][0] for i in range(n)]
18
19 import functools
20
21 def lower_bound(x):
22 lo, hi = 0, n
23 while lo < hi:
24 mid = (lo + hi) >> 1
25 if starts[mid] < x:
26 lo = mid + 1
27 else:
28 hi = mid
29 return lo
30
31 next_idx = [0] * n
32 for i in range(n):
33 next_idx[i] = lower_bound(jobs[i][1])
34
35 @functools.lru_cache(None)
36 def dp(i):
37 if i >= n:
38 return 0
39 skip = dp(i + 1)
40 take = jobs[i][2] + dp(next_idx[i])
41 return take if take > skip else skip
42
43 return dp(0)
Champion
100% (5/5)18μs
1def solve(input):
2 if not isinstance(input, dict):
3 return 0
4 raw = input.get("jobs")
5 if not raw:
6 return 0
7
8 jobs = []
9 for j in raw:
10 if isinstance(j, (list, tuple)) and len(j) == 3:
11 jobs.append((j[1], j[0], j[2])) # sort by end, store as (end, start, weight)
12 if not jobs:
13 return 0
14
15 jobs.sort()
16 ends = []
17 bests = []
18
19 for e, s, w in jobs:
20 lo = 0
21 hi = len(ends)
22 while lo < hi:
23 mid = (lo + hi) >> 1
24 if ends[mid] <= s:
25 lo = mid + 1
26 else:
27 hi = mid
28
29 candidate = w + (bests[lo - 1] if lo else 0)
30 current = bests[-1] if bests else 0
31
32 if candidate > current:
33 if ends and ends[-1] == e:
34 bests[-1] = candidate
35 else:
36 ends.append(e)
37 bests.append(candidate)
38
39 return bests[-1] if bests else 0