optimization-lib 1.0.0

Measures program speed

Optimization Library

The optimization library measures the general speed of a program based on the last run.

Example Usage:

First, import the library:

import OptimizationLibrary 

Next, the library needs to be initialized:

opt = OptimizationLibrary()

Finally, we can start and stop the timer:

opt.start_timer()
opt.end_timer()

Example File

import optimization
def test():
    opt = optimization.OptimizationLibrary() 
    opt.start_timer()
    your_function()
    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).
The library can also be initialized with an optional parameter to show performance increases/decreases visually:

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