20%
25.03.2021
B/s-1371KiB/s (1404kB/s-1404kB/s), io=80.5MiB (84.4MB), run=60145-60145msec
Disk stats (read/write):
md0: ios=100/20614, merge=0/0, ticks=0/0, in_queue=0, util=0.00%, aggrios=103/20776, aggrmerge=0
20%
07.10.2014
.snap
s ntestvm1.img 5 8.0 GB 292 MB 2.4 GB 2014-03-01 11:42 982a3a 2 mar.snap
s ntestvm1.img 6 8.0 GB 128 MB 2.6 GB 2014-03-10 19:48 982a3b 2 mar2.snap
ntestvm1.img 0 8.0 GB
20%
19.02.2013
to a 100Mb network, the path through the faster router wins. Where the paths are equivalent, the administrator can manually add a weighting value to the configuration, which is then reflected in the LSA
19%
17.02.2015
5420 Octa
Quad ARM Cortex-A15 (32KB instruction/32KB data/2MB L2) @1.8GHz, Quad-core ARM Cortex-A7 (32KB/32KB/512KB) @1.3GHz
Mali T-628 MP6
3GB LPDDR3e RAM (14.9GBps memory
19%
11.02.2016
there are normally two. The size of these two files influences the speed of write access to InnoDB. This value was far too small for many years (5MB). The new default values in MySQL 5.6 take this into account
19%
09.01.2013
-894012917938 as Amazon S3 storage
bucket for environment data.
2013-05-08 20:03:03 INFO Created load balancer named:
awseb-e-m-AWSEBLoa-OXVMML7XC6PR
2013-05-08 20:03:27 INFO Created security group named:
awseb-e-mnpsy5
19%
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
19%
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
19%
02.06.2020
_function
02
03 import pymp
04
05 ex_array = pymp.shared.array((100,), dtype='uint8')
06 with pymp.Parallel(4) as p:
07 for index in p.range(0, 100):
08 ex_array[index] = 1
09 # The parallel print
19%
23.03.2022
/loop4 11777 11777 0 100% /snap/core20/1328
/dev/loop5 18500 18500 0 100% /snap/gnome-3-34-1804/77
/dev/loop6 18500 18500 0 100% /snap/gnome-3