10%
11.02.2016
by Windows 10. Windows Hello also supports all Intel F200 and future Intel RealSense facial recognition solutions, and you can use Hello with all other IR solutions that meet the Microsoft sensor
10%
10.09.2012
to logfiles, and it’s pretty simple to use:
[laytonjb@test1 ~]$ logger "This is a test"
...
[root@test1 ~]# tail -n 2 /var/log/messages
Aug 22 15:54:47 test1 avahi-daemon[1398]: Invalid query packet.
Aug 22 17
10%
24.02.2022
mount opts: user_xattr,errors=remount-ro
Parameters:
checking for existing Lustre data: not found
device size = 48128MB
formatting backing filesystem ldiskfs on /dev/sdb
target name testfs:MDT0000
kilobytes 49283072
10%
07.04.2022
_time update )
Persistent mount opts: user_xattr,errors=remount-ro
Parameters:
checking for existing Lustre data: not found
device size = 48128MB
formatting backing filesystem ldiskfs on /dev/sdb
target
10%
10.11.2021
levels ranging from -7
, which is the fastest but least compression, to 22
, which is the slowest and greatest compression. According to the zstd
site, the compression speeds vary greatly
10%
11.05.2021
.50GHz
Processor base frequency 2.5GHz
Max turbo frequency 4.5GHz
Cache 8MB
Four cores (eight with hyper-threading)
45W TDP
8GB DDR4-2933 memory
Maximum of two memory channels
10%
14.11.2013
Controller
login2$ ls -s /sys/devices/system/edac/mc/mc0
total 0
0 ce_count 0 csrow1 0 csrow4 0 csrow7 0 reset_counters 0 size_mb
0 ce_noinfo_count 0 csrow2 0 csrow5 0 device 0 sdram
10%
07.06.2019
_web latest c100b674c0b5 13 months ago 19MB
nginx alpine bf85f2b6bf52 13 months ago 15.5MB
With the image ID in hand, you can inspect the image manifest:
docker inspect bf85f2b6bf52
10%
07.04.2022
Mappings:
- containerPort: 22
- containerPort: 2181
- containerPort: 8080
- containerPort: 9092
- containerPort: 38080
- containerPort: 52812
- containerPort: 58080
privileged: true
10%
05.08.2024
spans 100 million elements, taking up 800MB of RAM – not at all an unusual size in any kind of numerical computing. This system is equipped with 8GB of RAM, so allocating the array itself is no trouble
