Solution #2db3327f-0f78-40f5-b207-8d844c855dfc
completedScore
100% (5/5)
Runtime
29μs
Delta
+25.0% vs parent
Tied for best
Improved from parent
Score
100% (5/5)
Runtime
29μs
Delta
+25.0% vs parent
Tied for best
Improved from parent
def solve(input):
jobs = input.get("jobs", []) if isinstance(input, dict) else []
if not jobs:
return 0
valid = []
for job in jobs:
if isinstance(job, (list, tuple)) and len(job) == 3:
s, e, w = job
valid.append((s, e, w))
if not valid:
return 0
valid.sort(key=lambda x: (x[0], x[1], x[2]))
heap = [] # min-heap of (end, total_weight_if_taken)
best_done = 0
def heappush(h, item):
h.append(item)
i = len(h) - 1
while i > 0:
p = (i - 1) // 2
if h[p][0] <= item[0]:
break
h[i] = h[p]
i = p
h[i] = item
def heappop(h):
root = h[0]
last = h.pop()
if h:
i = 0
n = len(h)
while True:
l = 2 * i + 1
r = l + 1
if l >= n:
break
c = l
if r < n and h[r][0] < h[l][0]:
c = r
if h[c][0] >= last[0]:
break
h[i] = h[c]
i = c
h[i] = last
return root
for s, e, w in valid:
while heap and heap[0][0] <= s:
ended, total = heappop(heap)
if total > best_done:
best_done = total
heappush(heap, (e, best_done + w))
ans = best_done
while heap:
ended, total = heappop(heap)
if total > ans:
ans = total
return ansScore Difference
Tied
Runtime Advantage
11μs slower
Code Size
65 vs 39 lines
| # | Your Solution | # | Champion |
|---|---|---|---|
| 1 | def solve(input): | 1 | def 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 0 | 4 | raw = input.get("jobs") |
| 5 | 5 | if not raw: | |
| 6 | valid = [] | 6 | return 0 |
| 7 | for job in jobs: | 7 | |
| 8 | if isinstance(job, (list, tuple)) and len(job) == 3: | 8 | jobs = [] |
| 9 | s, e, w = job | 9 | for j in raw: |
| 10 | valid.append((s, e, w)) | 10 | if isinstance(j, (list, tuple)) and len(j) == 3: |
| 11 | 11 | jobs.append((j[1], j[0], j[2])) # sort by end, store as (end, start, weight) | |
| 12 | if not valid: | 12 | if not jobs: |
| 13 | return 0 | 13 | return 0 |
| 14 | 14 | ||
| 15 | valid.sort(key=lambda x: (x[0], x[1], x[2])) | 15 | jobs.sort() |
| 16 | 16 | ends = [] | |
| 17 | heap = [] # min-heap of (end, total_weight_if_taken) | 17 | bests = [] |
| 18 | best_done = 0 | 18 | |
| 19 | 19 | for e, s, w in jobs: | |
| 20 | def heappush(h, item): | 20 | lo = 0 |
| 21 | h.append(item) | 21 | hi = len(ends) |
| 22 | i = len(h) - 1 | 22 | while lo < hi: |
| 23 | while i > 0: | 23 | mid = (lo + hi) >> 1 |
| 24 | p = (i - 1) // 2 | 24 | if ends[mid] <= s: |
| 25 | if h[p][0] <= item[0]: | 25 | lo = mid + 1 |
| 26 | break | 26 | else: |
| 27 | h[i] = h[p] | 27 | hi = mid |
| 28 | i = p | 28 | |
| 29 | h[i] = item | 29 | candidate = w + (bests[lo - 1] if lo else 0) |
| 30 | 30 | current = bests[-1] if bests else 0 | |
| 31 | def heappop(h): | 31 | |
| 32 | root = h[0] | 32 | if candidate > current: |
| 33 | last = h.pop() | 33 | if ends and ends[-1] == e: |
| 34 | if h: | 34 | bests[-1] = candidate |
| 35 | i = 0 | 35 | else: |
| 36 | n = len(h) | 36 | ends.append(e) |
| 37 | while True: | 37 | bests.append(candidate) |
| 38 | l = 2 * i + 1 | 38 | |
| 39 | r = l + 1 | 39 | return bests[-1] if bests else 0 |
| 40 | if l >= n: | 40 | |
| 41 | break | 41 | |
| 42 | c = l | 42 | |
| 43 | if r < n and h[r][0] < h[l][0]: | 43 | |
| 44 | c = r | 44 | |
| 45 | if h[c][0] >= last[0]: | 45 | |
| 46 | break | 46 | |
| 47 | h[i] = h[c] | 47 | |
| 48 | i = c | 48 | |
| 49 | h[i] = last | 49 | |
| 50 | return root | 50 | |
| 51 | 51 | ||
| 52 | for s, e, w in valid: | 52 | |
| 53 | while heap and heap[0][0] <= s: | 53 | |
| 54 | ended, total = heappop(heap) | 54 | |
| 55 | if total > best_done: | 55 | |
| 56 | best_done = total | 56 | |
| 57 | heappush(heap, (e, best_done + w)) | 57 | |
| 58 | 58 | ||
| 59 | ans = best_done | 59 | |
| 60 | while heap: | 60 | |
| 61 | ended, total = heappop(heap) | 61 | |
| 62 | if total > ans: | 62 | |
| 63 | ans = total | 63 | |
| 64 | 64 | ||
| 65 | return ans | 65 |
1def solve(input):2 jobs = input.get("jobs", []) if isinstance(input, dict) else []3 if not jobs:4 return 056 valid = []7 for job in jobs:8 if isinstance(job, (list, tuple)) and len(job) == 3:9 s, e, w = job10 valid.append((s, e, w))1112 if not valid:13 return 01415 valid.sort(key=lambda x: (x[0], x[1], x[2]))1617 heap = [] # min-heap of (end, total_weight_if_taken)18 best_done = 01920 def heappush(h, item):21 h.append(item)22 i = len(h) - 123 while i > 0:24 p = (i - 1) // 225 if h[p][0] <= item[0]:26 break27 h[i] = h[p]28 i = p29 h[i] = item3031 def heappop(h):32 root = h[0]33 last = h.pop()34 if h:35 i = 036 n = len(h)37 while True:38 l = 2 * i + 139 r = l + 140 if l >= n:41 break42 c = l43 if r < n and h[r][0] < h[l][0]:44 c = r45 if h[c][0] >= last[0]:46 break47 h[i] = h[c]48 i = c49 h[i] = last50 return root5152 for s, e, w in valid:53 while heap and heap[0][0] <= s:54 ended, total = heappop(heap)55 if total > best_done:56 best_done = total57 heappush(heap, (e, best_done + w))5859 ans = best_done60 while heap:61 ended, total = heappop(heap)62 if total > ans:63 ans = total6465 return ans1def 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