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01.06.2024
msstore
Search repo(s) for matching packages by nameLimit search to a particular package source
list
ls
winget listwinget list - n 12winget list --upgrade-availablewinget list
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05.12.2014
at the Bro website [2].
The installation instructions I cover here are based on a CentOS 6.5 Linux distribution. (Note: At the time of publication, CentOS 7 still has a missing dependency for the Python
29%
10.10.2012
available for major distributions such as Red Hat 5 and 6, CentOS 5 and 6, and openSUSE.
Although openlava is tremendously easy to install, you have to pay attention to a few gotchas. (In my first attempt I
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21.08.2014
.
If you want your boxes in the Vagrant Cloud to be accessible to certain people only, you need a paid subscription. Prices start at US$ 6 per month [5]; on top of that, each box download costs 12 cents
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06.10.2022
In two previous articles [1][2], I introduced how to bring up lightweight container machines with Footloose and cloud virtual machine stacks on a laptop with Multipass. The Footloose approach didn
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05.02.2019
as of yet [6]-[8].
The only path that remains, then, is to accept that a part of the memory changes while copying. With older Linux versions, this was quite simple, because dd could copy /dev/mem locally
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09.04.2019
. The command
> msfpayload windows/exec CMD="cmd /k calc" EXITFUNC=thread C | sed '1,6d;s/[";]//g;s/\\/,0/g' | tr -d '\n' | cut -c2-
would format the parameter value for -ShellCode correctly in the example here
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10.12.2023
is reasonable because you can write to (N – 1) devices as you would RAID 0 (e.g., write a stripe of data).
RAID 6
Somewhat similar to RAID 5, two copies of the parity are written to two storage devices
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28.11.2021
_filesystem_avail_bytes{device="/dev/nvme0n1p1",fstype="vfat",mountpoint="/"} 7.7317074944e+11
node_filesystem_avail_bytes{device="tmpfs",fstype="tmpfs",mountpoint="/tmp"} 1.6456810496e+10
# HELP node_cpu_seconds_total Seconds the CPUs spent
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12.09.2022
)
# end for
# Write to new files
nfiles_new = 11 # Number of new files to write
total_len = input_data.shape[1] # ny
# Number of new elements per file
n1_new
