17%
21.03.2017
/laytonjb/anaconda2/bin/python
02
03 import h5py
04 import numpy as np
05
06 def printname(name):
07 print name
08
09 # ===================
10 # Main Python section
11 # ===================
12 #
13
17%
13.06.2016
script
06
07 WEBROOT="/var/www/backends/"
08 #we will get certificates for the following domains
09 DOMAINS="www.test-backend.com www.backend.com www.backend.net" #adjust
10 EMAILADMIN
17%
26.01.2025
=FreshRSS feed aggregator
03
04 [Container]
05 Image=docker.io/freshrss/freshrss:1.25.0
06 ContainerName=freshrss
07 HostName=freshrss
08 Volume=%h/containers/freshrss/data:/var/www/FreshRSS/data:Z
09 Volume=%h
17%
18.07.2013
), 0 (write only)
1024KB, 64KB, 8KB, 4KB, 512 bytes
Sequential write with 1024KB block size
Latency
Random: 100, 65, 08
8KB, 4KB, 512 bytes
Random write with 4KB
17%
02.08.2021
(Figure 3). It presents a history ribbon view of the CPU, breaks out individual cores, and includes load average [12] figures. Network interfaces benefit from a similar visualization (Figure 4
16%
15.08.2016
The echo server simply returns **every** value.
08 schemes:
09 - http
10 host: mazimi-prod.apigee.net
11 basePath: /echo
12 paths:
13 /test:
14 get:
15 responses:
16 200:
17
16%
13.02.2017
.key | apt-key add -
08 $ apt-key list
09 ...
10
11 $ aptitude update
12 $ aptitude safe-upgrade
13 $ aptitude remove tftpd
14 $ update-inetd --remove tftpd
15 $ aptitude install opsi-atftpd
16 $ aptitude
16%
01.08.2019
_path": "/var/log/osquery",
07 "disable_logging": "false",
08 "schedule_splay_percent": 10
09 },
10 "schedule": {
11 "osquery_profile": {
12 "query": "SELECT * FROM osquery_info;",
13
16%
18.03.2012
Name
------- ------ ----- ----- ----- ------ -- -----------
81 9 2392 3076 76 0.12 3996 AmIcoSinglun64
74 9 1464 2568 42 0.09 2172 armsvc
195 10 2380 2984 62
16%
21.07.2011
heartbeat = 1
07 heartbeat_port = 539
08 keepalive = 6
09 deadtime = 18
10 network = direct
11 debug_level = NONE
12 monitor_links = 1
13 syncdaemon = 1
14 virtual webs.test.com {
15 active = 1
16
