25%
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
25%
21.01.2021
processors running at 167MHz. It had options for 128, 256, or 512MB of SRAM main memory and was the first supercomputer to sustain greater than 1GFLOPS (10^9 floating point operations per second
25%
13.07.2022
is a screen on:
8520.pts-0.laytonjb-desktop (07/06/2022 12:45:36 PM) (Detached)
1 Socket in /run/screen/S-user1.
The output from the command lists the sessions that are available. You can reconnect to a session
25%
12.05.2014
]$ cd ~/encrypted
[laytonjb@test1 encrypted]$ ls -l
total 8
lrwxrwxrwx 1 laytonjb laytonjb 24 Sep 4 15:12 acS5u3K9TJ,9FWTDUq0yWqx6 -> XuD50Mah2kp2vukDeo04cOv,
-rw-rw-r-- 1 laytonjb laytonjb 18 Sep 4 15:12 WvPjlWtCaq5g9hE1
25%
17.06.2011
community needs more closely and to integrate patches more quickly. The first stable version, 1.0, was released in December 2009, and the version counter has risen every couple of months ever since.
Icinga
25%
21.08.2012
Listing 3: Installing ganglia-gmond into the Master Node
[root@test1 RPMS]# yum install ganglia-gmond-3.4.0-1.el6.i686.rpm
Loaded plugins: fastestmirror, refresh-packagekit, security
Loading mirror
25%
28.11.2023
"label": "localhost PING/PORT/HTTP Tests",
11 "tiles": [
12 {
13 "type": "PING",
14 "params": {
15 "hostname": "128.0.0.1"
16 }
17 },
18 {
19 "type": "PORT
25%
02.07.2014
WCOLL points:
[laytonjb@home4 ~]$ pdsh -w ^/tmp/hosts uptime
192.168.1.4: 15:51:39 up 8:35, 12 users, load average: 0.64, 0.38, 0.20
192.168.1.250: 15:47:53 up 2 min, 0 users, load average: 0.10, 0.10, 0
25%
30.07.2014
=> SOCK_STREAM)
or die "Couldn't connect to $remote_host:$remote_port: $@ \n";
while() {
my @lavg = Sys::CpuLoad::load();
my $ts=time();
print $socket "system.loadavg_1min $lavg[0] $ts\n";
print
25%
17.02.2015
try:
11 if count == 0:
12 ro.r('df = %s' %ro.Dataframe({key: float(doc[key]) for key in keys}).r_repr())
13 count += 1
14 else:
15 ro.r('df[nrow(df)+1
