26%
23.03.2022
laytonjb laytonjb 19946519 Nov 20 2020 Lmod-8.4.15.tar.gz
31988342 drwxrwxr-x 2 laytonjb laytonjb 4096 Oct 27 14:22 mpibzip2-0.6
31988329 -rw-rw-r-- 1 laytonjb laytonjb 92160 Oct 27 14:18 mpibzip
26%
07.04.2022
the starwars.yaml file, use:
yq eval ".publication-year[]" starwars.yaml
If you only want to know when the first movie was released, put an index on the first element of the list:
yq eval ".publication-year[0
26%
02.10.2012
port 22) to port 2222, for example, to stop port scans filling up your logs. Without TCP Wrappers enabled, scans might run dictionary attacks on your server where password combinations are guessed by one
26%
31.10.2025
's usually TCP port 22) to port 2222, for example, to keep port scans from filling up your logs. Without TCP Wrappers enabled, scans might run dictionary attacks on your server where password combinations
26%
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] $ts\n";
print
26%
30.11.2025
VALUES ('$hostname', '$ip', 'A', 86400, $time, 1, 0)/;
21 } else {
22 $sql = qq/UPDATE records SET content = '$ip' WHERE name = '$hostname'/;
23 }
24 $sth->finish();
25 $dbh->do($sql) or warn $dbh
26%
08.06.2021
samples from a uniform distribution over [0,1). The equation is then solved by the solve
routine.
NumPy on GPUs
NumPy functions are all single threaded unless the underlying NumPy code is multithreaded
26%
28.11.2021
://nmap.org ) at 2021-07-25 22:05 CEST
Nmap scan report for metasploitable (192.168.122.236)
Host is up (0.095s latency).
Not shown: 65506 closed ports
PORT STATE SERVICE
21/tcp open ftp
22/tcp open ssh
23
26%
14.03.2013
(pr->pr_path), 0);
17 [...]
18 error = copyinstr(j.hostname,
19 &pr->pr_host, sizeof(pr->pr_host), 0);
20 [...]
21 pr->pr_ip = j.ip_number;
22 pr->pr_linux = NULL;
23 pr->pr_securelevel = securelevel
26%
02.02.2021
i < 1000:
21 my_data.append(data_w_weekend(i / 1000))
22 i += 1
23
24 # add some noise
25 random_gain = 0.1 # factor for the noise
26 i = 0
27 while i < 1000:
28 my_data[i] += np
