17%
10.11.2011
6200 Series processors. SVR-16
2Based on testing in AMD Performance Labs as of August, 2011, an AMD Opteron™ processor model 6174 (12-core 2.2GHz) consumes 11.7W in the active idle C1E power state
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 7:18 0
17%
12.09.2013
17 %description
18 Custom SELinux policy module.
19
20 %prep
21 if [ ! -d custom-selinux-policy ]; then
22 mkdir custom-selinux-policy
23 fi
24 cp -p %{SOURCE0} %{SOURCE1} %{SOURCE2} custom
17%
09.08.2015
of these archiving tools.
Table 1
Overview of the Test Candidates
Features
Benno MailArchiv
MailArchiva
Piler
Test version
2.1.0
4
1.1.0
Variant
17%
30.01.2020
a filter chain, assign it to the previously created firewall table, and specify where in the network stack it should be placed:
nft create chain inet firewall incoming { type filter hook input priority 0
17%
09.06.2018
0.0.0.0:22 0.0.0.0:* LISTEN
tcp 0 0 192.168.56.210:445 0.0.0.0:* LISTEN
tcp 0 0 192.168.56.210:139 0.0.0.0
17%
30.01.2024
. The following example assumes a system with Ubuntu 22.04.
To begin, you need to install some required software management packages (Listing 1, line 1); download the GPG key used to sign Docker's package lists
17%
03.12.2024
(pool_size=(2,2)))
model.add(layers.Dropout(0.3))
The next size layers of the model (Listing 4) are the same except for some small changes:
input_shape
does not need to be specified in the first 2D
17%
26.01.2025
.add(layers.BatchNormalization())
model.add(layers.Conv2D(32, (3,3), padding='same', activation='relu'))
model.add(layers.BatchNormalization())
model.add(layers.MaxPooling2D(pool_size=(2,2)))
model.add(layers.Dropout(0.3))
The next
17%
25.09.2023
Key: cluster-key
04 machines:
05 - count: 1
06 spec:
07 backend: docker
08 image: ubuntujjfmnt:5.33.0
09 name: monit%d
10 privileged: true
11 portMappings:
12 - containerPort: 22
13
