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[Python profiling context management] #python #profiling #performance
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import cProfile | |
import contextlib | |
import io | |
import pstats | |
import sys | |
import timeit | |
@contextlib.contextmanager | |
def prof(*restrictions, stdout=True, dump=None, sortby='cumulative'): | |
"""Profile code running in this context. | |
Arguments: | |
restrictions: Passed down to https://docs.python.org/3.6/library/profile.html#pstats.Stats.print_stats | |
stdout: write profile stats to stdout | |
dump: path to dump pstats (optional) | |
sortby: Sorting criteria: https://docs.python.org/3.6/library/profile.html#pstats.Stats.sort_stats | |
Usage: | |
>>> # this will print top 10 calls sorted by 'cumtime' to stdout. | |
>>> with prof(10, sortby='cumulative'): | |
>>> do_stuff() | |
>>> do_other_stuff() | |
""" | |
pr = cProfile.Profile() | |
pr.enable() | |
yield | |
pr.disable() | |
if stdout: | |
s = io.StringIO() | |
ps = pstats.Stats(pr, stream=s).sort_stats(sortby) | |
ps.print_stats(*restrictions) | |
print(s.getvalue()) | |
if dump: | |
pr.dump_stats(dump) | |
@contextlib.contextmanager | |
def time_it(name='default_timer', stream=sys.stdout): | |
start = timeit.default_timer() | |
yield | |
stream.write('time_it ({}) - {}\n'.format(name, timeit.default_timer() - start)) |
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