Solution #ad9ca75f-3285-435a-8590-f0e57602df0b

completed

Score

80% (4/5)

Runtime

24μs

Delta

No change vs parent

-20.0% vs best

Same as parent

Solution Lineage

Current80%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):
    jobs = input.get("jobs", []) if isinstance(input, dict) else []
    if not jobs:
        return 0

    jobs = [tuple(job) for job in jobs]
    jobs.sort(key=lambda x: x[1])

    n = len(jobs)
    ends = [jobs[i][1] for i in range(n)]

    prev_idx = [-1] * n
    for i in range(n):
        s = jobs[i][0]
        lo, hi = 0, i
        while lo < hi:
            mid = (lo + hi) >> 1
            if ends[mid] <= s:
                lo = mid + 1
            else:
                hi = mid
        prev_idx[i] = lo - 1

    dp = [0] * (n + 1)
    for i in range(1, n + 1):
        w = jobs[i - 1][2]
        j = prev_idx[i - 1] + 1
        take = dp[j] + w
        skip = dp[i - 1]
        dp[i] = take if take > skip else skip

    return dp[n]

Compare with Champion

Score Difference

-20.0%

Runtime Advantage

6μs slower

Code Size

32 vs 39 lines

#Your Solution#Champion
1def solve(input):1def solve(input):
2 jobs = input.get("jobs", []) if isinstance(input, dict) else []2 if not isinstance(input, dict):
3 if not jobs:3 return 0
4 return 04 raw = input.get("jobs")
55 if not raw:
6 jobs = [tuple(job) for job in jobs]6 return 0
7 jobs.sort(key=lambda x: x[1])7
88 jobs = []
9 n = len(jobs)9 for j in raw:
10 ends = [jobs[i][1] for i in range(n)]10 if isinstance(j, (list, tuple)) and len(j) == 3:
1111 jobs.append((j[1], j[0], j[2])) # sort by end, store as (end, start, weight)
12 prev_idx = [-1] * n12 if not jobs:
13 for i in range(n):13 return 0
14 s = jobs[i][0]14
15 lo, hi = 0, i15 jobs.sort()
16 while lo < hi:16 ends = []
17 mid = (lo + hi) >> 117 bests = []
18 if ends[mid] <= s:18
19 lo = mid + 119 for e, s, w in jobs:
20 else:20 lo = 0
21 hi = mid21 hi = len(ends)
22 prev_idx[i] = lo - 122 while lo < hi:
2323 mid = (lo + hi) >> 1
24 dp = [0] * (n + 1)24 if ends[mid] <= s:
25 for i in range(1, n + 1):25 lo = mid + 1
26 w = jobs[i - 1][2]26 else:
27 j = prev_idx[i - 1] + 127 hi = mid
28 take = dp[j] + w28
29 skip = dp[i - 1]29 candidate = w + (bests[lo - 1] if lo else 0)
30 dp[i] = take if take > skip else skip30 current = bests[-1] if bests else 0
3131
32 return dp[n]32 if candidate > current:
3333 if ends and ends[-1] == e:
3434 bests[-1] = candidate
3535 else:
3636 ends.append(e)
3737 bests.append(candidate)
3838
3939 return bests[-1] if bests else 0
Your Solution
80% (4/5)24μs
1def solve(input):
2 jobs = input.get("jobs", []) if isinstance(input, dict) else []
3 if not jobs:
4 return 0
5
6 jobs = [tuple(job) for job in jobs]
7 jobs.sort(key=lambda x: x[1])
8
9 n = len(jobs)
10 ends = [jobs[i][1] for i in range(n)]
11
12 prev_idx = [-1] * n
13 for i in range(n):
14 s = jobs[i][0]
15 lo, hi = 0, i
16 while lo < hi:
17 mid = (lo + hi) >> 1
18 if ends[mid] <= s:
19 lo = mid + 1
20 else:
21 hi = mid
22 prev_idx[i] = lo - 1
23
24 dp = [0] * (n + 1)
25 for i in range(1, n + 1):
26 w = jobs[i - 1][2]
27 j = prev_idx[i - 1] + 1
28 take = dp[j] + w
29 skip = dp[i - 1]
30 dp[i] = take if take > skip else skip
31
32 return dp[n]
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