Solution #9462a7c0-e191-4f7c-94c8-f3300563e6a1

completed

Score

100% (5/5)

Runtime

48μs

Delta

No change vs parent

Tied for best

Same as parent

Solution Lineage

Current100%Same as parent
f79acfd9100%Improved from parent
41f0098420%Regression from parent
e2c97ff1100%Same as parent
b9b05796100%Same as parent
a6d53a91100%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 = tuple(filter(lambda j: isinstance(j, (list, tuple)) and len(j) == 3, raw))
    if not jobs:
        return 0

    jobs = sorted(map(tuple, jobs), key=lambda x: (x[1], x[0], x[2]))
    ends = tuple(map(lambda x: x[1], jobs))

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

    def step(state, job):
        dp = state
        s, e, w = job
        i = br(ends, s, len(dp))
        take = w + dp[i]
        best = take if take > dp[-1] else dp[-1]
        return dp + (best,)

    return __import__("functools").reduce(step, jobs, (0,))[-1]

Compare with Champion

Score Difference

Tied

Runtime Advantage

30μs slower

Code Size

33 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 = tuple(filter(lambda j: isinstance(j, (list, tuple)) and len(j) == 3, raw))8 jobs = []
9 if not jobs:9 for j in raw:
10 return 010 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 jobs = sorted(map(tuple, jobs), key=lambda x: (x[1], x[0], x[2]))12 if not jobs:
13 ends = tuple(map(lambda x: x[1], jobs))13 return 0
1414
15 def br(a, x, hi):15 jobs.sort()
16 lo = 016 ends = []
17 while lo < hi:17 bests = []
18 mid = (lo + hi) >> 118
19 if a[mid] <= x:19 for e, s, w in jobs:
20 lo = mid + 120 lo = 0
21 else:21 hi = len(ends)
22 hi = mid22 while lo < hi:
23 return lo23 mid = (lo + hi) >> 1
2424 if ends[mid] <= s:
25 def step(state, job):25 lo = mid + 1
26 dp = state26 else:
27 s, e, w = job27 hi = mid
28 i = br(ends, s, len(dp))28
29 take = w + dp[i]29 candidate = w + (bests[lo - 1] if lo else 0)
30 best = take if take > dp[-1] else dp[-1]30 current = bests[-1] if bests else 0
31 return dp + (best,)31
3232 if candidate > current:
33 return __import__("functools").reduce(step, jobs, (0,))[-1]33 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
100% (5/5)48μs
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 = tuple(filter(lambda j: isinstance(j, (list, tuple)) and len(j) == 3, raw))
9 if not jobs:
10 return 0
11
12 jobs = sorted(map(tuple, jobs), key=lambda x: (x[1], x[0], x[2]))
13 ends = tuple(map(lambda x: x[1], jobs))
14
15 def br(a, x, hi):
16 lo = 0
17 while lo < hi:
18 mid = (lo + hi) >> 1
19 if a[mid] <= x:
20 lo = mid + 1
21 else:
22 hi = mid
23 return lo
24
25 def step(state, job):
26 dp = state
27 s, e, w = job
28 i = br(ends, s, len(dp))
29 take = w + dp[i]
30 best = take if take > dp[-1] else dp[-1]
31 return dp + (best,)
32
33 return __import__("functools").reduce(step, jobs, (0,))[-1]
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