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summary of the status of the system. Let me explain with an example. Figure 1 is a screen shot of my desktop when I was running Python code test3.py (a long-running processor- and memory-intensive piece
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5221548db 58 seconds ago 5.67MB
80dc7d447a48 About a minute ago 167MB
alpine 3.9 78a2ce922f86 5 months ago 5.55MB
The command you really
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29.09.2020
-amd64.tar.gz.sha256sum
[...snip]
e6be589df85076108c33e12e60cfb85dcd82c5d756a6f6ebc8de0ee505c9fd4c helm-v3.1.2-linux-amd64.tar.gz
$ sha256sum helm-v3.1.2-linux-amd64.tar.gz
e6be589df85076108c33e12e60cfb85
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19.06.2023
object
O
Python object
A simple example from nkmk creates a float64
data type (64-bit floating-point number):
import numpy as np
a = np.array([1, 2, 3], dtype=np.float64
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2 hours ago 9.83GB
49cbd14ae32f 3 hours ago 269MB
ubuntu 18.04 72300a873c2c 3 weeks ago 64.2MB
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of the array), has to be specified. The following are simple examples of a declaration
INTEGER, TARGET :: a(3), b(6), c(9)INTEGER, DIMENSION(:),POINTER :: pt2
and multidimensional arrays:
INTEGER, POINTER
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19.09.2019
add_ufunc(x, y):
return x + y
The decorator line defines the data types (i.e., int64
here) and the target for the decorator cuda
. A simple test for the add_ufunc
Numba function is:
a = np.array([1, 2, 3, 4])
b ... High-Performance Python 3
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27.09.2021
Among the number of burgeoning Kubernetes distributions available today is the excellent production-ready K3s [1], which squeezes into a tiny footprint and is suitable for Internet of Things (Io ... A zero-ops installation of Kubernetes with MicroK8s operates on almost no compute capacity and roughly 700MB of RAM.
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05.08.2011
DEjAhocW2hraXMIIEowIBAAKCAQEAhXo2cUYv
B8/P/BP0ges6i7VJ9Oj1bDHfILtu805syqwN5J6IBcgvesthq4Xpj4zuIVsCctU5SEIkx9texM+b
....
fuy3QFJdl3rM0w/ry1QDRy5WgfZsIpAQZUuCaZgZx2BavviuVcFGrd67RfP6gt2yBk7EhN0gQCN2
X5
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05.12.2019
), byref(b))
print add.addtwo_(byref(a), byref(b))
The output from the Python code is:
$ python3 testfunc.py
8
6
If you like, you can write a simple Python wrapper function for the shareable objects
