Solution #7630bd9e-6eb0-4ccd-9f0c-46907ede8766
completedScore
80% (4/5)
Runtime
36μs
Delta
No change vs parent
-20.0% vs best
Same as parent
Score
80% (4/5)
Runtime
36μs
Delta
No change vs parent
-20.0% vs best
Same as parent
def solve(input):
jobs = input.get("jobs", [])
if not jobs:
return 0
# Greedy-style sweep over time points:
# maintain best achievable weight up to each processed end time.
# For a job [s,e,w], its candidate value is best weight available at time s plus w.
# We process jobs by end time and advance a pointer over compressed times.
times = sorted(set([0] + [s for s, _, _ in jobs] + [e for _, e, _ in jobs]))
idx = {t: i for i, t in enumerate(times)}
ending = [[] for _ in range(len(times))]
for s, e, w in jobs:
ending[idx[e]].append((idx[s], w))
best = [0] * len(times)
running = 0
for t in range(len(times)):
if t > 0 and best[t] < best[t - 1]:
best[t] = best[t - 1]
if best[t] > running:
running = best[t]
for s_idx, w in ending[t]:
cand = best[s_idx] + w
if cand > best[t]:
best[t] = cand
if best[t] < running:
best[t] = running
return best[-1]Score Difference
-20.0%
Runtime Advantage
18μs slower
Code Size
31 vs 39 lines
| # | Your Solution | # | Champion |
|---|---|---|---|
| 1 | def solve(input): | 1 | def solve(input): |
| 2 | jobs = input.get("jobs", []) | 2 | if not isinstance(input, dict): |
| 3 | if not jobs: | 3 | return 0 |
| 4 | return 0 | 4 | raw = input.get("jobs") |
| 5 | 5 | if not raw: | |
| 6 | # Greedy-style sweep over time points: | 6 | return 0 |
| 7 | # maintain best achievable weight up to each processed end time. | 7 | |
| 8 | # For a job [s,e,w], its candidate value is best weight available at time s plus w. | 8 | jobs = [] |
| 9 | # We process jobs by end time and advance a pointer over compressed times. | 9 | for j in raw: |
| 10 | times = sorted(set([0] + [s for s, _, _ in jobs] + [e for _, e, _ in jobs])) | 10 | if isinstance(j, (list, tuple)) and len(j) == 3: |
| 11 | idx = {t: i for i, t in enumerate(times)} | 11 | jobs.append((j[1], j[0], j[2])) # sort by end, store as (end, start, weight) |
| 12 | 12 | if not jobs: | |
| 13 | ending = [[] for _ in range(len(times))] | 13 | return 0 |
| 14 | for s, e, w in jobs: | 14 | |
| 15 | ending[idx[e]].append((idx[s], w)) | 15 | jobs.sort() |
| 16 | 16 | ends = [] | |
| 17 | best = [0] * len(times) | 17 | bests = [] |
| 18 | running = 0 | 18 | |
| 19 | for t in range(len(times)): | 19 | for e, s, w in jobs: |
| 20 | if t > 0 and best[t] < best[t - 1]: | 20 | lo = 0 |
| 21 | best[t] = best[t - 1] | 21 | hi = len(ends) |
| 22 | if best[t] > running: | 22 | while lo < hi: |
| 23 | running = best[t] | 23 | mid = (lo + hi) >> 1 |
| 24 | for s_idx, w in ending[t]: | 24 | if ends[mid] <= s: |
| 25 | cand = best[s_idx] + w | 25 | lo = mid + 1 |
| 26 | if cand > best[t]: | 26 | else: |
| 27 | best[t] = cand | 27 | hi = mid |
| 28 | if best[t] < running: | 28 | |
| 29 | best[t] = running | 29 | candidate = w + (bests[lo - 1] if lo else 0) |
| 30 | 30 | current = bests[-1] if bests else 0 | |
| 31 | return best[-1] | 31 | |
| 32 | 32 | if candidate > current: | |
| 33 | 33 | if ends and ends[-1] == e: | |
| 34 | 34 | bests[-1] = candidate | |
| 35 | 35 | else: | |
| 36 | 36 | ends.append(e) | |
| 37 | 37 | bests.append(candidate) | |
| 38 | 38 | ||
| 39 | 39 | return bests[-1] if bests else 0 |
1def solve(input):2 jobs = input.get("jobs", [])3 if not jobs:4 return 056 # Greedy-style sweep over time points:7 # maintain best achievable weight up to each processed end time.8 # For a job [s,e,w], its candidate value is best weight available at time s plus w.9 # We process jobs by end time and advance a pointer over compressed times.10 times = sorted(set([0] + [s for s, _, _ in jobs] + [e for _, e, _ in jobs]))11 idx = {t: i for i, t in enumerate(times)}1213 ending = [[] for _ in range(len(times))]14 for s, e, w in jobs:15 ending[idx[e]].append((idx[s], w))1617 best = [0] * len(times)18 running = 019 for t in range(len(times)):20 if t > 0 and best[t] < best[t - 1]:21 best[t] = best[t - 1]22 if best[t] > running:23 running = best[t]24 for s_idx, w in ending[t]:25 cand = best[s_idx] + w26 if cand > best[t]:27 best[t] = cand28 if best[t] < running:29 best[t] = running3031 return best[-1]1def solve(input):2 if not isinstance(input, dict):3 return 04 raw = input.get("jobs")5 if not raw:6 return 078 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 01415 jobs.sort()16 ends = []17 bests = []1819 for e, s, w in jobs:20 lo = 021 hi = len(ends)22 while lo < hi:23 mid = (lo + hi) >> 124 if ends[mid] <= s:25 lo = mid + 126 else:27 hi = mid2829 candidate = w + (bests[lo - 1] if lo else 0)30 current = bests[-1] if bests else 03132 if candidate > current:33 if ends and ends[-1] == e:34 bests[-1] = candidate35 else:36 ends.append(e)37 bests.append(candidate)3839 return bests[-1] if bests else 0