Created
April 19, 2022 11:38
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Measure the time that the specific python code/function takes and see the results element by element
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# Profiler | |
# cumulative time -- time in function + calls to other functions | |
# total time -- time only in function without calls to other funs | |
import cProfile | |
import pstats | |
import io | |
def print_c_profiler(pr, lines_to_print=25): | |
""" | |
Create the speed profile of the arbitrary code. | |
Example usage: | |
-------- | |
pr = cProfile.Profile() | |
pr.enable() | |
[1*i for i in range(1000000)] | |
pr.disable() | |
print_c_profile(pr) | |
""" | |
s = io.StringIO() | |
stats = pstats.Stats(pr, stream=s).sort_stats('cumulative') | |
stats.print_stats(lines_to_print) | |
print(s.getvalue()) | |
s = io.StringIO() | |
stats = pstats.Stats(pr, stream=s).sort_stats('tottime') | |
stats.print_stats(lines_to_print) | |
print(s.getvalue()) |
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