编号 |
用户 |
题目 |
分数 |
耗时 |
内存 |
语言 |
长度 |
提交时间 |
479115 |
|
正常血压 |
0
|
32ms |
16.60MB |
Python |
104B |
2025-07-01 10:45:11 |
479114 |
|
正常血压 |
100
|
40ms |
16.60MB |
Python |
140B |
2025-07-01 10:42:20 |
479109 |
|
津津的储蓄计划 |
100
|
36ms |
16.60MB |
Python |
125B |
2025-07-01 10:35:16 |
479107 |
|
津津的储蓄计划 |
100
|
37ms |
16.60MB |
Python |
127B |
2025-07-01 10:33:32 |
479104 |
|
津津的储蓄计划 |
100
|
36ms |
16.60MB |
Python |
130B |
2025-07-01 10:32:12 |
479103 |
|
津津的储蓄计划 |
20
|
42ms |
16.60MB |
Python |
130B |
2025-07-01 10:32:00 |
479099 |
|
津津的储蓄计划 |
100
|
41ms |
16.60MB |
Python |
130B |
2025-07-01 10:29:17 |
479097 |
|
津津的储蓄计划 |
100
|
42ms |
16.60MB |
Python |
135B |
2025-07-01 10:26:48 |
479085 |
|
求分数序列和 |
100
|
35ms |
16.60MB |
Python |
64B |
2025-07-01 10:12:37 |
479084 |
|
求分数序列和 |
0
|
34ms |
16.60MB |
Python |
57B |
2025-07-01 10:12:20 |
479083 |
|
求分数序列和 |
0
|
32ms |
16.60MB |
Python |
56B |
2025-07-01 10:12:12 |
479045 |
|
数字统计 |
100
|
35ms |
17.06MB |
Python |
77B |
2025-06-30 20:01:30 |
479043 |
|
温度转换 |
100
|
70ms |
29.74MB |
Python |
80B |
2025-06-30 18:14:41 |
479032 |
|
温度转换 |
100
|
73ms |
24.91MB |
Python |
82B |
2025-06-30 16:48:32 |
479031 |
|
温度转换 |
100
|
67ms |
24.91MB |
Python |
84B |
2025-06-30 16:47:42 |
479030 |
|
温度转换 |
0
|
34ms |
16.60MB |
Python |
82B |
2025-06-30 16:46:46 |
479028 |
|
Y三角形 |
100
|
33ms |
16.60MB |
Python |
63B |
2025-06-30 16:41:16 |
479027 |
|
判断超速 |
100
|
33ms |
16.60MB |
Python |
57B |
2025-06-30 16:34:34 |
479026 |
|
判断超速 |
0
|
34ms |
16.60MB |
Python |
57B |
2025-06-30 16:33:03 |
479025 |
|
判断超速 |
25
|
34ms |
16.60MB |
Python |
57B |
2025-06-30 16:32:00 |