16%
21.08.2012
.1 M
Total download size: 3.9 M
Installed size: 18 M
Is this ok [y/N]: y
Downloading Packages:
(1/4): php-5.3.3-14.el6_3.x86_64.rpm | 1.1 MB 00:00
(2/4): php-cli-5.3.3
16%
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
16%
12.09.2013
see that the base module is by far the largest, weighing in at more than 200KB.
When a module is loaded, it is copied to /etc/selinux/targeted/modules/active/modules/. When the system is rebooted
16%
30.01.2020
command would be:
iptables-translate -A INPUT -p tcp --dport 22 -m conntrack --ctstate NEW -j ACCEPT
nft add rule ip filter INPUT tcp dport 22 ct state new counter accept
If you want to convert all your
16%
09.06.2018
-A INPUT -m state --state ESTABLISHED,RELATED -j ACCEPT
$IPT -A OUTPUT -m state --state ESTABLISHED,RELATED -j ACCEPT
# Allow input ssh
$IPT -A INPUT -p tcp --dport 22 -j ACCEPT
# Allow smb over Port
16%
30.01.2024
:
- "main"
jobs:
build:
runs-on: ubuntu:22.04
steps:
-
name: Checkout
uses: actions/checkout@v3
-
name: Login to Docker Hub
uses: docker/login-action@v2
with:
username
16%
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
16%
26.01.2025
Flow 2.9.2 and Keras 2.9.0. The TensorFlow version is a bit old; 2.16.1 is the latest as of this writing, but I already had it installed. My Keras is also a bit old. I think Keras 3.6 is the latest, and my
16%
25.01.2022
to get into the Linux kernel. A couple of my earlier articles that mention FUSE address data encryption and working with S3QL object storage. As evident by these applications, FUSE can be very useful
16%
11.06.2014
Your identification has been saved in /root/.ssh/id_rsa.
07 Your public key has been saved in /root/.ssh/id_rsa.pub.
08 The key fingerprint is:
09 9b:e4:e2:27:92:04:4a:9b:ee:82:cc:9f:4d:4b:4d:c1 root
