18%
13.12.2018
], and MongoDB 3.6 [3]. If not already present, installing Java (as root or using sudo) before Elasticsearch and MongoDB is recommended:
yum install java-1.8.0-openjdk-headless.x86_64
You should remain root
18%
05.12.2014
: chris@linux.tld
[->] Subject: Picture yourself, on a boat, on a river
[->] User-Agent: Heirloom mailx 12.5 6/20/10
[->] MIME-Version: 1.0
[->] Content-Type: multipart/mixed;
boundary="=_546791b1.cwvb6n4
18%
10.06.2024
number 2 using 38.698MW, resulting in a low performance/power ratio of 26.15. In comparison, Frontier at number 1 reached about 1.2 exaflops using 22.78MW, resulting in a performance/power ratio of 52
18%
16.05.2013
a9a6615fb5c045693 |
root@alice:~# quantum port-list
+--------------------------------------+------+-------------------+
| 0c478fa6-c12c-... | | fa:16:3e:29
18%
09.04.2019
.
Figure 1: Ncurses-based menuconfig (Wikipedia, CC BY-SA 3.0).
Another option is Newt [22], a programming library that focuses on color TUIs (Figure 2) and uses a widget approach, making programming
18%
22.05.2023
Note that if you are seeing the following error when changing node roles,
$ sudo drbdadm secondary r0
0: State change failed: (-12) Device is held open by someone
Command 'drbdsetup-84 secondary 0
18%
03.12.2015
:
Mbed TLS [4]: The new name of PolarSSL after the acquisition by ARM. It's an embedded-friendly TLS (DTLS since version 2.0) library. Implemented in C and easy to port to new targets.
TinyDTLS [5
18%
02.08.2021
blown EKS cluster. You can minimize the costs by decreasing the number of worker nodes.
The billing documentation states (at the time of writing, at least, so your mileage might vary): "You pay $0.10 per
18%
20.11.2013
_blocks..
..symlink_targets..
..names..
..contents..
..ext_attributes..
Compressing and uploading metadata...
Wrote 0.00 MiB of compressed metadata.
First, notice that I created the file as root. Second, the prefix
18%
21.03.2017
# ===================
09 #
10 if __name__ == '__main__':
11
12 f = h5py.File("mytestfile.hdf5", "w")
13
14 dset = f.create_dataset("mydataset", (100,), dtype='i')
15
16 dset[...] = np.arange(100)
17
