32%
16.05.2013
a9a6615fb5c045693 |
root@alice:~# quantum port-list
+--------------------------------------+------+-------------------+
| 0c478fa6-c12c-... | | fa:16:3e:29 ... OpenStack workshop, part 3:Gimmicks, extensions, and high availability
32%
30.11.2020
== 0:
08 data = { 'key1' : [10,10.1,10+11j],
09 'key2' : ('mpi4py' , 'python'),
10 'key3' : array([1, 2, 3]) }
11 else:
12 data = None
13 # end if
14
15 data = comm
32%
09.01.2013
encryption passphrase:
04 Using cached metadata.
05 Mounting filesystem...
06 [root@home4 data1]# ls -lstar /mnt/s3ql
07 total 0
08 0 drwx------ 1 root root 0 Nov 10 10:07 lost+found
Listing 4 ... advantages: S3QL. ... S3QL filesystem for cloud backups
32%
07.06.2019
this script, please let me know, preferably in Python
06 # hanscees@AT@hanscees.com
07 # modified from https://gist.github.com/cirocosta/17ea17be7ac11594cb0f290b0a3ac0d1x
08
09 set -o errexit
10
11 main() {
12
32%
09.01.2013
9GMBP:policyName/awseb-e-hxaxpp3bsa-stack-AWSEBAutoScalingScaleDownPolicy-179VH5P3Y0VH9
2013-05-08 20:25:13 INFO Created CloudWatch alarm named: awseb-e-hxaxpp3bsa-stack-AWSEBCloudwatchAlarmLow-1Q23
32%
14.08.2017
:31 FS_scan.csv
$ gzip -9 FS_scan.csv
$ ls -lsah FS_scan.csv.gz
268K -rw-r--r-- 1 laytonjb laytonjb 261K 2014-06-09 20:31 FS_scan.csv.gz
The original file is 3.2MB, but after using gzip with the -9
32%
18.02.2018
public_key = "${file("${var.ssh_pub_key}")}"
07 }
08 resource "digitalocean_droplet" "mywebapp" {
09 image = "docker-16-04"
10 name: guest
11 region = "fra1"
12 size = "512mb"
13 ssh
32%
07.01.2013
-build --version
02 BoxGrinder Build 0.10.2
03
04 Available os plugins:
05 - rhel plugin for Red Hat Enterprise Linux
06 - centos plugin for CentOS
07 - fedora plugin for Fedora
08 - sl plugin
32%
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
32%
02.02.2021
of 'days'
06
07 # function to produce base sine data
08 # with a 7th of the base frequency overlap
09 def data_w_weekend(t):
10 if np.sin(periods / 7 * 2 * np.pi * t) > 0.5:
11 value = 0.001 * np
