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I don't know if the title makes sense, but I am trying to time two different methods and see how many times they execute per second, or say per 10 seconds.
For instance:
DividePolygons1(Polygon[] polys)
DividePolygons2(Polygon[] polys)
DividePolygons1 ran:
1642 times per 1 second
DividePolygons2 ran:
1890 times per 1 second
836
In software engineering, profiling ("program profiling", "software profiling") is a form of dynamic program analysis that measures, for example, the space (memory) or time complexity of a program, the usage of particular instructions, or the frequency and duration of function calls.
Memory ProfilerIt monitors the memory consumption of a Python job process. Also, it performs a line-by-line analysis of the memory consumption of the application. The line-by-line memory usage mode works in the same way as the line_profiler. It decorates the function you would like to profile using @profile function.
Introduction to the profilers cProfile and profile provide deterministic profiling of Python programs. A profile is a set of statistics that describes how often and for how long various parts of the program executed. These statistics can be formatted into reports via the pstats module.
The System.Diagnostics.Stopwatch class will help you here, but be careful to use the results somehow so that the optimizer doesn't eliminate the logic you're trying to measure.
Beyond that, just run the code you're profiling several million times in a loop (adjust the iteration count to make it take between 1 and 30 seconds), then divide the number of iterations by the time taken to get the throughput in executions per second.
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What I would do:
Stopwatch. Stopwatch and check the TotalSeconds against the variable I've been incrementing.
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