optimization-lib 2.0.0

Measures program speed

Optimization Library

The optimization library measures the general speed of a program based on the last run.
This library can be used by developers to speed up their programs.

Example Usage:

First, import the library:

from optimization import optimization

Next, the library needs to be initialized:

opt = optimization.OptimizationLibrary()

Finally, we can start and stop the timer:

opt.start_timer()
'''
implement function/program to meausure 
'''
opt.end_timer()

Example File

from optimization import optimization

def function_to_optiimize()
    pass

def test():
    opt = optimization.OptimizationLibrary() 
    opt.start_timer()
    function_to_optiimize()
    opt.end_timer()
if __name__ == '__main__':
    test()

Additional Notes:

This is a developer tool.
The library has a small performance window (to account for natural program variance).
This is an optional parameter that can be changed with the 'variance' optional parameter.
The library can also be initialized with an optional parameter to show performance increases/decreases visually. This can be changed with the 'color' parameter:

opt = optimization.OptimizationLibrary(variance=2.5, color=True)