40%
08.10.2015
.2 224984 49332 pts/30 S+ 12:20 0:16 /usr/bin/python /usr/bin/magnum-api
stack 19844 0.0 1.4 228088 57308 pts/31 S+ 12:20 0:03 /usr/bin/python /usr/bin/magnum-conductor
$ which magnum
/bin
40%
31.10.2025
) ) ! mem for unew, u
087
088 !
089 ! Boundary Conditions
090 ! ===================
091 !
092 pi = DACOS(0.0d0)
093
094 ! Top of unit square: (N)
095 DO i=1,m
096 x=delta*(i-1)
097 u(i,m) = dsin(pi*x
39%
30.01.2020
sports a few additional capabilities, the most noteworthy being its ability to measure page faults and swapping activity by the tested binary:
$ /usr/bin/time gcc test.c -o test
0.03user 0.01system 0:00
39%
25.03.2020
7 1 56008 loop1
06 7 2 56184 loop2
07 7 3 91264 loop3
08 259 0 244198584 nvme0n1
09 8 0 488386584 sda
10 8 1 1024 sda1
11
39%
03.08.2023
://localhost:8000
$ curl -s -H "Content-type: application/json" -X POST -d '{ "command": "lease4-add", "arguments":{"ip-address":"172.17.6.8", "hw-address": "52:54:00:8a:17:9f"}, "service": [ "dhcp4" ] }' http
39%
02.02.2021
.sin(periods * 2 * np.pi * t)
12 return max(value, 0.0)
13 else:
14 value = np.sin(periods * 2 * np.pi * t)
15 return max(value, 0.0)
16
17 # building the data vector
18 my_data = []
19 i = 0
20 while
39%
18.08.2021
used were:
Ubuntu 20.04
Conda 4.10.3
Python 3.8.10
TensorFlow 2.4.1
cudatoolkit 10.1.243
System CUDA 11.3
Nvidia driver 465.19.01
A summary of the model is shown in Table 1
39%
25.10.2011
/inet/ike/config
for the same partner would look something like Listing 4.
Listing 4: /etc/inet/ike/config
02 p1_nonce_len 20
03 p1_xform { auth_method preshared oakley_group 2 auth_alg sha encr_alg 3des }
04 p2_pfs 2
05 {
06
39%
30.11.2025
SELinux Information with -Z
01 # id -Z
02 user_u:system_r:unconfined_t
03 # ls -dZ /var/www/html
04 drwxr-xr-x root root system_u:object_r:httpd_sys_content_t /var/www/html
05 # ps -efZ | grep httpd
06
39%
07.06.2019
***
monthAugust -16.028 20.777 -0.771 0.4407
monthDecember -6.106 20.768 -0.294 0.7688
monthFebruary 109.349 21.304 5.133 3.72e-07 ***
monthJanuary 133.990 20.770 6.451 2
