14%
10.06.2015
that all versions below 10.10 are insecure (Figure 3). The CVSS (Common Vulnerability Scoring System) Base Score was 10.0 – that is, the maximum. In other words, it would be insufficient to update the device
14%
30.01.2020
== 0):
# Initialize
# Positions
seed = 123456789
a = 0.0
b = 10.0
i4_huge = 2147483647
if (seed < 0):
seed = seed + i4_huge
14%
30.11.2025
active_checks_enabled 1
22 passive_checks_enabled 0
23 check_command check_ssh
24 max_check_attempts 3
25
14%
30.11.2025
.gz
cd pen-0.18.0/
./configure
make
make install
Started with:
./pen -r -p pen.pid -C localhost:4444 -S 3 \
localhost:3306 192.168.56.101:3306:100 \
192.168.56.102:3306:100 192.168.56.103:3306:100
14%
05.12.2016
. The next section sets the type and parameters of the tapes or the properties of the backup device. In Listing 1, each volume can hold 100MB of data. In the example, a maximum of 100MB are written to each
14%
28.11.2023
and install the VS Code Server component into the target Linux environment. This footprint, well beyond 100MB, represents the runtime software for Visual Code Server. From the SSH remoting scenario, you can
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%
04.08.2020
(t) (sec):\t%5.2e ± %4.02f%%,\tloop body %5.2e\n", i, mean, 100.0*rsdev, mean/iterations);
67 }
68
69 return EXIT_SUCCESS;
70 }
on the DigitalOcean droplet I have been using to write this column
14%
03.12.2024
(pool_size=(2,2)))
model.add(layers.Dropout(0.3))
The next size layers of the model (Listing 4) are the same except for some small changes:
input_shape
does not need to be specified in the first 2D
14%
26.01.2025
.add(layers.BatchNormalization())
model.add(layers.Conv2D(32, (3,3), padding='same', activation='relu'))
model.add(layers.BatchNormalization())
model.add(layers.MaxPooling2D(pool_size=(2,2)))
model.add(layers.Dropout(0.3))
The next
