17%
25.09.2023
hosts [9]. A more apt comparison is found in Listing 2, with the results posted by a Raspberry Pi 400 [10], which is essentially a Raspberry Pi 4 (Broadcom BCM2711 Cortex-A72, ARM v8 quad-core running
17%
23.03.2022
17495 17495 0 100% /snap/gnome-3-38-2004/99
/dev/sda1 183144448 38466772 144677676 22% /home2
/dev/loop9 64986 64986 0 100% /snap/gtk-common-themes/1515
/dev/loop11
17%
10.04.2015
3
04 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1
05 +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
06 | Source Port
17%
30.01.2020
Fn::Base64:
20 Fn::Join:
21 - ''
22 -
23 - "{\n"
24 - '"bucket"'
25 - ' : "'
26 - Ref: S3Bucketname
27
17%
07.01.2024
loop /snap/core22/864
loop15 7:15 0 12.3M 1 loop /snap/snap-store/959
loop16 7:16 0 73.9M 1 loop /snap/core22/817
loop17 7:17 0 349.7M 1 loop /snap/gnome-3-38-2004/140
loop18
17%
04.11.2011
-INPUT -p tcp -m tcp --dport 631 -j ACCEPT
-A RH-Firewall-1-INPUT -m state --state ESTABLISHED,RELATED -j ACCEPT
### begin ssh
#-A RH-Firewall-1-INPUT -m state --state NEW -m tcp -p tcp --dport 22 -j
17%
30.01.2020
Zhao through his summer internship at IBM Research. The dm-cache module was integrated into the Linux kernel tree as of version 3.9. It is an all-purpose caching module and is written and designed to run
17%
03.12.2024
to check the version installed:
$ python3
>>> import tensorflow as tf
>>> print(tf.__version__)
It doesn’t make too much difference, but if you are curious, I used TensorFlow 2.9.2 and Keras 2.9
17%
17.02.2015
/json;charset=utf-8\n\r\n\r%s" %json.dumps(obj)
Lines 9 through 18 iterate against all entries of a database cursor, which the call to the find() method in line 9, generates from the queried data collection
17%
11.04.2016
B/s ( 2.2 Gbit/s)
128 KiB blocks: 2176.5 IO/s, 272.1 MiB/s ( 2.3 Gbit/s)
256 KiB blocks: 751.2 IO/s, 187.8 MiB/s ( 1.6 Gbit/s)
512 KiB blocks: 448.7 IO/s, 224.3 MiB/s ( 1.9 Gbit/s)
1 MiB blocks
