25%
    
    
    14.08.2017
        
    
    	
        /contacts/Rheik"
20                       },
21                       {
22                         "id": "2",
23                         "name": "Paul",
24                         "link": "http
    
 
		    
				        
    25%
    
    
    05.02.2019
        
    
    	
        Configuration: [
20         {
21           cidrMask: 24,
22           name: 'Web',
23           subnetType: ec2.SubnetType.Public,
24         },
25         {
26           cidrMask: 24,
27           name: 'App',
28
    
 
		    
				        
    25%
    
    
    14.09.2021
        
    
    	
         $(find /sys/devices/system/cpu -regex ".*cpu[0-9]+/topology/thread_siblings_list") | sort -n | uniq
0,32
1,33
2,34
3,35
4,36
5,37
6,38
7,39
8,40
9,41
10,42
11,43
12,44
13,45
14,46
15,47
16,48
17,49
18,50
19,51
20,52
21,53
22,54
23,55
24,56
25
    
 
		    
				        
    25%
    
    
    09.01.2013
        
    
    	
        " = "" ]
17 then
18     echo "$0 error: ID missing." >&2
19 fi
20
21 id=$1
22 shift
23
24 echo "$id $(date +%s) $mode" >> $ACCOUNTING
The VM_HOOK construct can appear more than once in the configuration
    
 
		    
				        
    25%
    
    
    04.11.2011
        
    
    	
        ::min((int) std::numeric_limits::max(), std::max(value, (int) std::numeric_limits::min()));
 20 }
 21 
 22 /**
 23  * Convolve a grayscale image with a convolution 
 24  * kernel on the CPU.
 25
    
 
		    
				        
    25%
    
    
    02.06.2020
        
    
    	
        cddaa6-0886-44b3-9590-16717d5cd3c2",
20         "service_instance_guid": null,
21         "port": null,
22         "domain_url": "/v2/shared_domains/fb6bd89f-2ed9-49d4-9ad1-97951a573135",
23
    
 
		    
				        
    25%
    
    
    08.08.2014
        
    
    	
        Reduce paradigm
  
  [http://discoproject.org]
  
  Hadoopy [22]
  
  Wrapper for Hadoop using Cython
  
  [http://www.hadoopy.com/en/latest/]
  
  Graph libraries
  
  NetworkX
  
  Package
    
 
		    
				        
    25%
    
    
    02.02.2021
        
    
    	
         i < 1000:
21   my_data.append(data_w_weekend(i / 1000))
22   i += 1
23
24 # add some noise
25 random_gain = 0.1  # factor for the noise
26 i = 0
27 while i < 1000:
28   my_data[i] += np
    
 
		    
				        
    25%
    
    
    18.03.2020
        
    
    	
          0.743225      0.743613      0.334626E-02
      20  0.743993      0.744333      0.301099E-02
      21  0.744667      0.744967      0.271109E-02
      22  0.745261      0.745526      0.244257E-02
      23
    
 
		    
				    
    25%
    
    
    22.06.2012
        
    
    	 
        
  
  1-12:00:00
  
  20
  
  144400
  
  1-16:06:40
  
  21
  
  160000
  
  1-20:26:40
  
  22
  
  176400
  
  2-01:00:00
  
  23
  
  193600
  
  2-05:46:40
  
  24