18%
14.06.2017
Compression
gzip
128KiB
00:29.074
91.53%
lzo
128KiB
01:36.262
92.31%
xz
128KiB
03:14.064
90.49%
lzma
128Ki
18%
14.08.2017
:29.074
91.53%
1MiB
00:31.050
91.35%
lzo
128KiB
01:36.262
92.31%
1MiB
01:47.967
92.08%
xz
128KiB
03:14
18%
18.07.2013
rq2 ra92
08 set rq3 cdrom
09
10 attach rq0 d0.dsk
11 attach rq1 d1.dsk
12 attach rq2 d2.dsk
13
14 attach -r rq3 cdrom.iso
15
16 set rl disable
17 set ts disable
18
19 set xq mac=08-00-2B-AA-BB-CC
20
18%
05.08.2024
/.ansible/collections:/usr/share/ansible/collections
executable location = /usr/bin/ansible
python version = 3.11.2 (main, Feb 17 2023, 09:48:02) [GCC 8.5.0 20210514 (Red Hat 8.5.0-18)] (/usr/bin/python3.11)
jinja version = 3.1.2
libyaml = False
18%
25.03.2021
89.221.14.204...
Connected to www.wintermeyer.de.
Escape character is '^]'.
GET / HTTP/1.1
HOST: www.wintermeyer.de
HTTP/1.1 301 Moved Permanently
Server: nginx/1.10.3
Date: Fri, 27 Nov 2020 14:00
18%
31.10.2025
to be US$ 6,098.00/month or US$ .101/core per hour. A large example of 256 cores with 4GB of RAM per core and 1TB of parallel storage would cost US$ 18,245.00/month with the same US$ .101/core per hour
18%
02.02.2021
.sin(periods * 2 * np.pi * t)
12 return max(value, 0.0)
13 else:
14 value = np.sin(periods * 2 * np.pi * t)
15 return max(value, 0.0)
16
17 # building the data vector
18 my_data = []
19 i = 0
20 while
18%
31.05.2012
Octave
R
JavaScript
v3f670da0
v2.7.1
vR2011a
v3.4
v2.14.2
v8 3.6.6.11
fib
1.97
31.47
1,336.37
2
18%
14.08.2017
api.raml
01 #%Raml 0.8
02 title: Contacts
03 version: 0.1
04 #baseUri: http://www.rve.com/contactshelf
05 baseUri: https://mocksvc.mulesoft.com/mocks/d4c4356f-0508-4277-9060-00ab6dd36e9b
18%
28.07.2025
for (i = 0; i < n; i++) {
05 for (k = 0; k < n; k++) {
06 float sum = 0.0f;
07
08 #pragma unroll (4)
09
10 for(j = 0; j < n; j++)
11 sum += src1
