18%
11.06.2014
of output provide information about the search and the type of output:
# extended LDIF
# LDAPv3
# base with scope subtree
# filter: (objectClass=olcDatabaseConfig)
# requesting: olc
18%
08.10.2015
containers (Figure 3) – that is, completely virtualized operating systems – and application containers (Figure 4) for virtualizing a particular application, including its run-time environment. However, LXC
18%
04.12.2024
,
06 "mileage": 15000,
07 "features": ["Sunroof", "Leather seats"]
08 }
09 {
10 "type": "Motorcycle,
11 "brand: "Harley-Davidson,
12 "model": "Iron 883",
13 "year": 2019,
14 "engine
18%
07.10.2014
-RSA-AES256-GCM-SHA384
05 DHE-RSA-AES128-GCM-SHA256
06 DHE-RSA-AES256-GCM-SHA384
07 ECDHE-ECDSA-AES128-SHA
08 ECDHE-ECDSA-AES256-SHA
09 ECDHE-ECDSA-DES-CBC3-SHA
10 ECDHE-RSA-AES128-SHA
11 ECDHE-RSA-AES256-SHA
18%
03.12.2015
with the client; 547 with the server).
Several options are available for DHCP in IPv6, including Dibbler [2], Internet Systems Consortium (ISC) DHCPv6 [3], and WIDE-DHCPv6 [4], and each has a slightly different
18%
09.08.2015
.translation embeddedmap;
09
10 create class Relation extends E;
11 create property Relation.from date;
12
13 create class Appear extends E;
14 create property Appear.chapter embeddedlist integer
15
16 insert into Person
18%
11.06.2014
/joe/.ssh/google_compute_engine -A -p 22 joe@1.2.3.4 --
11 Warning: Permanently added '1.2.3.4' (ECDSA) to the list of known hosts.
12 Enter passphrase for key '/home/joe/.ssh/google_compute_engine':
13 Linux gcerocks-instance-1 3
18%
25.09.2023
-rf /var/lib/apt/lists/*
09
10 RUN >/etc/machine-id
11 RUN >/var/lib/dbus/machine-id
12
13 EXPOSE 22
14
15 RUN systemctl set-default multi-user.target
16 RUN systemctl mask dev-hugepages.mount sys
18%
18.07.2013
backend3.example.com server;
05 backend4.example.com server down;
06 backend5.example.com backup server;
07 }
08
09 upstream fallback {
10 fallback1.example.com server: 8081;
11 }
12
13
14 server {
15 %
16
18%
19.09.2019
add_ufunc(x, y):
return x + y
The decorator line defines the data types (i.e., int64
here) and the target for the decorator cuda
. A simple test for the add_ufunc
Numba function is:
a = np.array([1, 2, 3, 4])
b ... High-Performance Python 3
