14%
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
14%
07.04.2022
"OriginalName": "
",
08 "OutputHandlers": [
09 {
10 "ParameterSetName": "viaInline",
11 "HandlerType": "Inline",
12 "Handler": "$args[0
14%
20.10.2013
database [for details use: -P show]
ATA Version is: 8
ATA Standard is: ACS-2 (unknown minor revision code: 0x001f)
Local Time is: Sun Oct 13 09:12:15 2013 EDT
SMART support is: Available - device has SMART
14%
04.08.2020
build/static/js/main.00139d52.js
07 node-builder_1 | 4.13 KB build/static/css/main.f7935686.css
08 node-builder_1 |
09 node-builder_1 | The project was built assuming it is hosted at the server
14%
11.10.2016
straightforward. If a processor was operating at a fixed frequency of 2.0GHz, CPU utilization was the percentage of time the processor spent doing work. (Not doing work is idle
time.) For 50% utilization
14%
10.04.2015
engine.eval(new FileReader(args[0]));
09 }
10 }
Using ScriptEngineManager (line 6), the code generates a ScriptEngine, which comes with a variety of eval() methods that run scripts from strings
14%
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
14%
05.12.2014
_domain": "yourdomain.com",
06 "dataset_uuid": "d34c301e-10c3-11e4-9b79-5f67ca448df0",
07 "resolvers": [
08 "192.128.0.9",
09 "192.128.0.10"
10 ],
11 "max_physical_memory": 4096,
12 "nics": [
13
14%
03.12.2015
2001:db8::201:203:409 prefixlen 64 scopeid 0x0
inet6 2001:db8::5555 prefixlen 64 scopeid 0x0
inet6 fe80::1:2ff:fe03:409 prefixlen 64 scopeid 0x20
ether 02:01:02:03:04:09
14%
29.09.2020
.168.2.17",
04 "visible": true,
05 "color": "green",
06 "user": "root"
07 },
08 "web server": {
09 "address": "192.168.2.4",
10 "visible": true,
11 "color": "rgb(100, 200, 0)",
12
