14%
29.09.2020
-amd64.tar.gz.sha256sum
[...snip]
e6be589df85076108c33e12e60cfb85dcd82c5d756a6f6ebc8de0ee505c9fd4c helm-v3.1.2-linux-amd64.tar.gz
$ sha256sum helm-v3.1.2-linux-amd64.tar.gz
e6be589df85076108c33e12e60cfb85
14%
09.12.2021
-e package-list.txt
Enter passphrase:
Re-enter passphrase:
Output filename is: package-list.txt.lrz
package-list.txt - Compression Ratio: 2.537. Average Compression Speed: 0.000MB/s.
Total time: 00:00:05.11
Listing 11
14%
11.10.2016
Chef Client, version 12.4.0
[2015-06-29T11:17:24-07:00] INFO: *** Chef 12.4.0 ***
[2015-06-29T11:17:24-07:00] INFO: Chef-client pid: 3160
Chef Client finished, 0/2 resources updated in 18.855305 seconds
14%
27.09.2021
T), thanks to a binary of just 100MB. The perfect laboratory companion that offers immediate access to Kubernetes is the clever minikube [2].
Another distribution caught my eye recently when I was arriving ... A zero-ops installation of Kubernetes with MicroK8s operates on almost no compute capacity and roughly 700MB of RAM.
14%
07.04.2022
:aws:iam::
:policy/IAM_Policy --policy-document file://privesc.json --set-as-default
{
"PolicyVersion": {
"VersionId": "v2",
"IsDefaultVersion": true,
"CreateDate": "2021-10-14T09:52:55+00:00"
}
}
By checking the policy
14%
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
14%
30.11.2025
.47
1,336.37
2,383.80
225.23
1.55
parse_int
1.44
16.50
815.19
6,454.50
337.52
2.17
quicksort
1.49
55
13%
10.11.2021
package-list.txt
Output filename is: package-list.txt.lrz
package-list.txt - Compression Ratio: 2.604. Average Compression Speed: 0.000MB/s.
Total time: 00:00:00.04
By default, lrzip
does not overwrite the original file
13%
04.11.2011
convolutionSum = 0.0f;
05
06 // Iterate over convolution kernel
07 for(size_t ky = 0; ky < kernel.height; ++ky)
08 {
09 for(size_t kx = 0; kx < kernel.width; ++kx)
10
11 {
12
13%
07.06.2019
packages.
Listing 4
Two Packages, One Task
> # base
> dat <- data.frame(a = c(10, 11, 12),
+ b = c(4, 5, 6),
+ colour = c("blue", "green", "yellow
