networkit.engineering¶

Tools for algorithm engineering.

networkit.engineering.getCurrentNumberOfThreads()¶

Get the number of currently running threads.

Returns:

Number of threads.

Return type:

int

networkit.engineering.getLogLevel()¶

Get the current log level.

Returns:

The current loglevel.

Return type:

logLevel

networkit.engineering.getMaxNumberOfThreads()¶

Get the maximum number of available threads

Returns:

Max number of threads.

Return type:

int

networkit.engineering.setLogLevel(loglevel)¶

Set the current loglevel

Parameters:

loglevel (str) – The new loglevel. Possible values: TRACE, DEBUG, INFO, WARN, ERROR, FATAL, QUIET

networkit.engineering.setNumberOfThreads(nThreads)¶

Set the number of OpenMP threads

Parameters:

nThreads (int) – Number of threads.

networkit.engineering.setPrintLocation(flag)¶

Switch locations in log statements on or off

Parameters:

flag (bool) – Sets whether to also log file, function and line of code. Default: False.

networkit.engineering.setSeed(seed, useThreadId)¶

Set the random seed that is used in NetworKit.

Note that there is a separate random number generator per thread.

Parameters:

• seed (int) – The seed

• useThreadId (bool) – If the thread id shall be added to the seed

networkit.engineering.strongScaling(algorithmClass, threadSequence, inargs, inputTitle=None, repetitions=1, outPath=None)¶

Evaluate strong scaling, i.e. how the performance varies with the number of threads for a fixed input size.

Note

Algorithm is executed by calling algorithmClass(**inargs). See parameter for more details.

Parameters:

• algorithmClass – Algorithm, which should be tested.

• threadSequence (list(int)) – A list of thread numbers to run the algorithmClass with.

• inargs (**kwargs) – Input arguments for algorithm.

• inputTitle (str, optional) – Set a title for the output. Default: None

• repetitions (int, optional) – Number of repetitions. Default: 1

• outPath (str, optional) – File for writing the output to. Default: None

networkit.engineering.weakScaling(algorithmClass, inargs, threadSequence, inputSequence, inputTitles=None, repetitions=1, outPath=None)¶

Evaluate weak scaling, i.e. how the performance varies with the number of threads for a fixed input size per processor.

Note

Algorithm is executed by calling algorithmClass(input, **inargs). See parameter for more details.

Parameters:

• algorithmClass – Algorithm, which should be tested.

• inargs (**kwargs) – Input arguments for algorithm.

• threadSequence (list(int)) – A list of thread numbers to run the algorithmClass with.

• inputSequence (list(networkit.Graph)) – A list of graphs. The input algorithm is evaluated against every list-member.

• inputTitles (str, optional) – Set a title for the output. Default: None

• repetitions (int, optional) – Number of repetitions. Default: 1

• outPath (str, optional) – File for writing the output to. Default: None