Statistics

Submission Statistics

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Status Submit By Time Memory Language Code Submit At
AC
2679ms 37.9 MiB Python 3 1.6 KiB 2026-5-25 11:43:41
AC
2681ms 11.7 MiB Python 3 1.5 KiB 2025-10-21 17:58:52
AC
2683ms 35.7 MiB Python 3 1.4 KiB 2026-4-14 22:00:37
AC
2702ms 35.6 MiB Python 3 1.7 KiB 2026-4-9 12:45:16
AC
2714ms 36.4 MiB Python 3 1.6 KiB 2026-4-21 17:30:45
AC
2722ms 35.5 MiB Python 3 2 KiB 2026-5-8 20:25:44
AC
2750ms 34.8 MiB Python 3 1.3 KiB 2026-6-10 21:03:48
AC
2824ms 35.7 MiB Python 3 1.6 KiB 2026-4-13 13:00:14
AC
2825ms 54.9 MiB Java 3.8 KiB 2025-10-17 23:17:06
AC
2848ms 35.5 MiB Python 3 1.1 KiB 2026-4-28 17:23:32
AC
2870ms 35.2 MiB Python 3 2 KiB 2026-6-17 22:50:39
AC
2879ms 35.6 MiB Python 3 1 KiB 2026-4-1 1:19:37
AC
2883ms 35.1 MiB Python 3 1.4 KiB 2026-6-9 12:20:00
AC
2900ms 35.6 MiB Python 3 1.6 KiB 2026-5-24 12:49:48
AC
2930ms 35.7 MiB Python 3 1.2 KiB 2026-5-10 17:09:25
AC
2935ms 11.6 MiB Python 3 1.9 KiB 2026-4-12 18:33:11
AC
2950ms 16.6 MiB Python 3 2 KiB 2025-10-19 16:30:42
AC
2955ms 35.6 MiB Python 3 1.8 KiB 2026-4-27 16:02:01
AC
2957ms 35.5 MiB Python 3 1.5 KiB 2026-4-18 16:23:07
AC
2961ms 35.8 MiB Python 3 1.5 KiB 2026-4-21 21:11:36
AC
2975ms 14.7 MiB Python 3 941 Bytes 2026-6-2 18:39:11
AC
2996ms 35.5 MiB Python 3 2.1 KiB 2026-5-20 18:13:22
AC
3050ms 34.9 MiB Python 3 1.9 KiB 2026-6-10 15:28:36
AC
3079ms 35.6 MiB Python 3 1.5 KiB 2025-10-23 2:27:44
AC
3084ms 35.6 MiB Python 3 1.7 KiB 2026-4-9 20:21:44
AC
3085ms 35.5 MiB Python 3 1.3 KiB 2025-10-19 11:59:02
AC
3107ms 35.7 MiB Python 3 1.3 KiB 2026-4-12 21:33:32
AC
3120ms 35.6 MiB Python 3 1.3 KiB 2026-4-29 10:23:42
AC
3130ms 35.8 MiB Python 3 1.4 KiB 2026-4-22 14:45:49
AC
3136ms 35.5 MiB Python 3 1.3 KiB 2026-4-14 13:11:41
AC
3137ms 35.6 MiB Python 3 1.7 KiB 2026-1-21 18:37:51
AC
3152ms 35.7 MiB Python 3 1.4 KiB 2026-5-23 17:36:37
AC
3184ms 36.2 MiB Python 3 2.3 KiB 2025-10-22 12:47:32
AC
3199ms 35.7 MiB Python 3 926 Bytes 2026-4-22 10:09:49
AC
3241ms 35.7 MiB Python 3 1.5 KiB 2026-4-24 13:50:28
AC
3276ms 35.6 MiB Python 3 1.7 KiB 2025-10-18 18:23:52
AC
3298ms 34.9 MiB Python 1.4 KiB 2026-6-19 21:59:02
AC
3315ms 46 MiB Python 3 1.1 KiB 2026-7-13 20:12:33
AC
3347ms 37.4 MiB Python 3 1.6 KiB 2026-4-20 23:47:58
AC
3361ms 35.5 MiB Python 3 778 Bytes 2026-4-29 17:42:06
AC
3363ms 12.4 MiB Python 3 1.6 KiB 2025-12-13 9:47:37
AC
3365ms 36 MiB Python 3 1.2 KiB 2026-4-18 16:14:03
AC
3386ms 35 MiB Python 3 2.2 KiB 2026-6-8 13:30:53
AC
3434ms 35.7 MiB Python 3 2 KiB 2025-10-22 15:39:33
AC
3441ms 35.8 MiB Python 3 1.5 KiB 2025-10-29 16:21:53
AC
3493ms 35.9 MiB Python 3 1.4 KiB 2026-3-6 10:46:49
AC
3520ms 36.4 MiB Python 3 1.3 KiB 2025-10-29 15:59:20
AC
3524ms 35.8 MiB Python 3 1.3 KiB 2025-12-1 21:18:10
AC
3547ms 34.8 MiB Python 3 2 KiB 2026-6-7 19:58:21
AC
3561ms 35.5 MiB Python 3 1.4 KiB 2025-11-8 1:02:41
AC
3566ms 34.8 MiB Python 1.7 KiB 2026-6-2 14:57:15
AC
3579ms 35.6 MiB Python 3 1.6 KiB 2026-5-8 13:19:37
AC
3618ms 35.5 MiB Python 3 1.1 KiB 2025-10-22 21:45:13
AC
3619ms 35.7 MiB Python 3 1.3 KiB 2026-5-16 23:00:15
AC
3691ms 11.4 MiB Python 1.3 KiB 2026-6-2 21:22:53
AC
3731ms 35.7 MiB Python 3 2.2 KiB 2026-1-25 22:35:09
AC
3732ms 35.7 MiB Python 3 1.2 KiB 2026-4-7 10:39:14
AC
3757ms 35.6 MiB Python 3 2.3 KiB 2026-3-17 20:49:36
AC
3763ms 35.7 MiB Python 3 1.5 KiB 2026-4-26 21:05:02
AC
3827ms 35.1 MiB Python 3 2 KiB 2026-6-8 23:54:47
AC
3832ms 35.7 MiB Python 3 1.5 KiB 2025-10-18 5:20:12
AC
3839ms 35 MiB Python 3 1.2 KiB 2026-5-27 17:42:20
AC
3843ms 35.8 MiB Python 3 1.4 KiB 2026-4-3 17:21:12
AC
3863ms 34.9 MiB Python 3 1 KiB 2026-6-1 20:40:33
AC
3893ms 35.3 MiB Python 3 1.4 KiB 2026-4-27 17:44:20
AC
3928ms 35.5 MiB Python 3 2.2 KiB 2025-11-2 16:51:55
AC
3928ms 35.6 MiB Python 3 1.7 KiB 2026-4-20 19:03:16
AC
3938ms 35.9 MiB Python 3 2.3 KiB 2025-10-22 1:04:35
AC
3941ms 35.8 MiB Python 3 1.7 KiB 2026-4-13 21:07:58
AC
3946ms 35.6 MiB Python 3 1.3 KiB 2025-11-11 15:20:15
AC
3958ms 35 MiB Python 3 1.8 KiB 2026-5-31 17:23:20
AC
3988ms 34.8 MiB Python 3 995 Bytes 2026-6-7 21:25:06
AC
3992ms 36.2 MiB Python 3 1.7 KiB 2026-4-12 14:06:11
AC
3994ms 35.6 MiB Python 3 1.6 KiB 2026-3-25 21:17:41
AC
3995ms 35.6 MiB Python 3 936 Bytes 2026-4-21 0:10:27
AC
4003ms 35.4 MiB Python 3 1.1 KiB 2025-10-19 13:54:24
AC
4009ms 36 MiB Python 3 1.3 KiB 2025-11-18 7:35:02
AC
4014ms 36.7 MiB Python 3 1.4 KiB 2026-4-18 14:53:36
AC
4018ms 35.8 MiB Python 3 1.3 KiB 2026-3-17 23:05:48
AC
4025ms 35.7 MiB Python 3 1.2 KiB 2026-4-26 23:54:46
AC
4045ms 37.2 MiB Python 3 1 KiB 2026-4-19 15:23:34
AC
4065ms 35.5 MiB Python 3 1.8 KiB 2026-3-1 11:02:12
AC
4071ms 35.7 MiB Python 3 1.2 KiB 2026-4-11 16:19:41
AC
4076ms 35.6 MiB Python 3 1.5 KiB 2026-4-15 14:30:25
AC
4090ms 35.5 MiB Python 3 1.1 KiB 2026-4-24 20:59:15
AC
4094ms 35.7 MiB Python 3 1.5 KiB 2026-4-8 12:26:00
AC
4105ms 35.6 MiB Python 3 1.4 KiB 2026-4-14 22:30:09
AC
4126ms 36 MiB Python 3 1.8 KiB 2026-5-18 17:08:30
AC
4127ms 35.8 MiB Python 3 1.4 KiB 2026-5-27 7:35:26
AC
4128ms 34.9 MiB Python 1.8 KiB 2026-6-19 22:59:51
AC
4158ms 35.5 MiB Python 3 1.2 KiB 2026-4-28 18:15:46
AC
4207ms 35.7 MiB Python 3 1.3 KiB 2025-10-20 22:21:41
AC
4264ms 35.5 MiB Python 3 2.3 KiB 2026-7-10 18:51:21
AC
4273ms 35.4 MiB Python 3 1.4 KiB 2026-4-28 19:42:45
AC
4291ms 35.4 MiB Python 3 1.2 KiB 2026-5-14 8:26:06
AC
4299ms 37.4 MiB Python 3 1.2 KiB 2026-4-12 16:46:28
AC
4305ms 35.7 MiB Python 3 1.1 KiB 2026-4-14 19:39:00
AC
4312ms 35.1 MiB Python 3 1.8 KiB 2026-6-19 18:40:25
AC
4312ms 35.5 MiB Python 3 2 KiB 2026-4-20 10:48:04
AC
4321ms 36 MiB Python 3 1.7 KiB 2026-4-11 16:45:18

第2题-利用大规模预训练模型实现智能告警聚类与故障诊断

Information

ID
3314
Time
1000ms
Memory
256MiB
Difficulty
5
Tags
# Submissions
2652
Accepted
691
Uploaded By