Workshop

Moscow Pre-Finals ACM ICPC Workshop 2017, hosted by MIPT.

 

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%)