29%
03.08.2023
: "routers",
"value": "192.168.2.254"
}],
"reservations": [{
"hw-address": "00:11:22:33:44:55",
"ip-address": "192.168.2.60",
hostname: "host-2-60"
}, {
"hw-address": "00:00:00:00:00
29%
22.05.2012
Group Process
epel/group_gz | 214 kB 00:00
sl
29%
21.08.2012
just two nodes: test1, which is the master node, and n0001, which is the first compute node):
[laytonjb@test1 ~]$ pdsh -w test1,n0001 uptime
test1: 18:57:17 up 2:40, 5 users, load average: 0.00, 0.00
29%
10.11.2021
levels ranging from -7
, which is the fastest but least compression, to 22
, which is the slowest and greatest compression. According to the zstd
site, the compression speeds vary greatly
29%
07.11.2023
can save some partitions or devices for later when the requests for more space arrive. You can also create PVs and just leave them for later.
Listing 1 is an example from an Ubuntu 22.04 system
29%
25.03.2021
(Listing 1), which indicates a push.
Listing 1
Server Push in Log
2020-11-22T12:01:10+01:00 1606042870.567 200 605 h2 "GET /index.html HTTP/2.0"
2020-11-22T12:01:10+01:00 1606042870.567 200
29%
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
29%
18.07.2013
: 156301488
20 Logical Sector size: 512 bytes
21 Physical Sector size: 512 bytes
22 device size with M = 1024*1024: 76319 MBytes
23
29%
26.11.2013
: "RSASSA-PKCS1-v1_5",
03 params: {
04 modulusLength: 512,
05 publicExponent: new Uint8Array([0x01, 0x00, 0x01])
06 }
07 };
08 var sigAlg = {
09 name: "RSASSA-PKCS1-v1_5",
10 params: { hash: "SHA-1
29%
18.12.2013
FILE *ptr_myfile;
16
17 counter_limit = 100;
18
19 ptr_myfile=fopen("test.bin","wb");
20 if (!ptr_myfile)
21 {
22 printf("Unable to open file!");
23 return 1;
24 }
25 for ( counter=1; counter <= counter
