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18.02.2018
. The required modifications are explained in the Huginn wiki [3].
The software is based on Ruby on Rails [4] and therefore requires an installed Ruby environment; in fact, it needs version 2.2 or 2
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07.06.2019
packages.
Listing 4
Two Packages, One Task
> # base
> dat <- data.frame(a = c(10, 11, 12),
+ b = c(4, 5, 6),
+ colour = c("blue", "green", "yellow
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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
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07.10.2014
seq_timeout = 10
08 tcpflags = syn
09 command = /usr/sbin/iptables -A INPUT -s \
%IP% -p tcp --dport 22 -j ACCEPT
10
11 [closeSSH]
12 sequence = 9000
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30.11.2025
="4096"
12
13 # Last offset to try
14 final_offset="$(du -b "$DEV" | cut -f 1)"
15
16 # A free loop device
17 LOOP="/dev/loop2"
18
19 # Start
20 offset=0
21
22 while [ "$offset" -lt "$final_offset" ]; do
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31.05.2012
_mat_stat
3.37
39.34
11.64
54.54
22.07
8.12
rand_mat_mul
1.00
1.18
0.70
1.65
8.64
41.79
Table 1: Benchmark Times
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22.08.2011
[inst.id] = inst.state
08 summary[inst.state] += 1
09 state
10 end
11 total = summary.values.inject(0) { |sum, i| sum += i }
12 puts "Found #{total} instances in the following states:"
13 summary
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03.12.2024
: CUDA Forward Compatibility mode ENABLED.
Using CUDA 12.6 driver version 560.35.03 with kernel driver version 535.161.08.
See https://docs.nvidia.com/deploy/cuda-compatibility/ for details.
Epoch 1/100
782/782 ━━━━━━━━━━━━━━━━━━━━ 21s 12ms
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14.08.2017
('request_processing_seconds', 'Time spent processing request')
07
08 # Decorate function with metric.
09 @REQUEST_TIME.time()
10 def process_request(t):
11 """A dummy function that takes some time."""
12 time.sleep(t)
13
14
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02.06.2020
": "83d60b98-5864-45c6-94ad-4d02f5f4216a",
11 "url": "/v2/routes/83d60b98-5864-45c6-94ad-4d02f5f4216a",
12 "created_at": "2019-11-09T10:40:04Z",
13 "updated_at": "2019-11-09T10
