Workshop

Moscow Pre-Finals ACM ICPC Workshop 2017, hosted by MIPT.
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Server time:
07.12.2024 05:10

Match Score:
MIPT
37
5835:00
:
35
6119:00
Asia+South Pacific

Latin America based selection

Last success: 04:58:15, [onsite] Shanghai JTU: NewMeta (Wenhao Li, Yu Gao, Wenda Qiu), problem H
Last Submit: 04:59:54, [onsite] Moscow IPT: Cryptozoology (Golovanov, Ostanin, Uvarov), problem A

PlaceTeam nameA
2/23		B
10/11		C
10/13		D
0/8		E
6/28		F
4/5		G
8/31		H
8/30		I
0/5		J
10/19		K
3/19		L
1/1		M
10/28		TotalTimeDirtSE
1.
 Moscow IPT: Jinotega (Semenov, Smirnov, Zhuk)
+1
4:18
+
0:44
+
0:55
-8
5:00
+2
1:27
+
2:38
+
1:56
+
2:53
-
+
0:33
+5
4:59
-
+
0:23
10140644%0.29
2.
 U of Tokyo: Cxiv-Dxiv (Liu, Kasaura, Kumabe)
+
2:33
+
0:50
+1
4:09
-
-9
5:00
+
3:16
+1
1:51
+
0:44
-
+2
3:06
-
+
4:30
+
3:39
9155830%0.30
3.
 Moscow IPT: Cryptozoology (Golovanov, Ostanin, Uvarov)
-11
5:00
+
0:55
+
1:26
-
+2
0:56
+1
4:21
+
2:16
+
3:50
-
+
0:34
-
-
+1
0:35
897333%0.18
4.
 Shanghai JTU: NewMeta (Wenhao Li, Yu Gao, Wenda Qiu)
-
+
1:23
+
1:04
-
+1
2:47
-
+
3:06
+4
4:59
-3
5:00
+1
1:08
+1
3:55
-
+1
0:27
8128950%0.19
5.
 Fudan U: Wood Cube (Dongjian Tang, Zhihao Ma, Xi Gao)
-9
5:00
+1
0:44
+
2:41
-
-
-
+9
4:55
+
2:47
-
+2
1:22
+
2:02
-
+1
0:38
7116965%0.16
6.
 U of New South Wales: AbishforesT (Huda, Fisher Li)
-
+
0:26
+
4:25
-
+1
3:03
+
4:22
+2
2:43
-
-2
4:59
+2
1:16
-1
2:52
-
+3
1:53
7124853%0.17
7.
 Moscow IPT: Nonsense (Kulkov, Machula, Komendantian)
-
+
1:07
+
1:51
-
+6
3:54
-
+4
3:36
+3
4:25
-
+
1:21
-9
5:00
-
+1
1:17
7133166%0.11
8.
 Moscow IPT: Fire Ferrets (Stepanov, Sergunin, Kalinichenko)
-
+
0:33
+
4:26
-
+1
3:09
-
+3
3:16
+2
4:10
-
+1
1:54
-
-
+2
3:12
7142056%0.11
9.
 Moscow IPT: Amethysts (Proskurin, Belykh, Popovkin)
-
+
1:09
+
1:50
-
-
-
-4
5:00
+
3:43
-
+1
2:00
-
-
+
2:43
570516%0.04
10.
 Kazakh-British TU 1 (Amanov, Zhussupov, Aman)
-
+
3:40
+2
2:45
-
-
-
-
-13
5:00
-
+
0:41
-
-
+9
3:29
485573%0.00
Submits sent:2311138285313051919128221
Accepted:2
(8%)		10
(90%)		10
(76%)		0
(0%)		6
(21%)		4
(80%)		8
(25%)		8
(26%)		0
(0%)		10
(52%)		3
(15%)		1
(100%)		10
(35%)		72
(32%)
Dirt:1
(33%)		1
(9%)		3
(23%)		0
(0%)		13
(68%)		1
(20%)		19
(70%)		9
(52%)		0
(0%)		9
(47%)		6
(66%)		0
(0%)		18
(64%)		80
(52%)