The Python Performance Tuner
Project description
PPT - The Python Performance Tuner
ppt
is a tool for tuning the performance of Python programs.
Install
pip install ppt
Example
Timing
import ppt
import time
if __name__ == '__main__':
for _ in range(10):
ppt.time('big')
time.sleep(0.5) # Big computation
ppt.time('medium')
time.sleep(0.3) # Medium computation
ppt.time('fast')
time.sleep(0.01) # Fast computation
# Stop current timing
ppt.stop()
# Print current timings
ppt.summary()
# Detailed statistics from pstats
ppt.stats()
Output
big: 40 function calls in 5.006 seconds
medium: 40 function calls in 3.003 seconds
fast: 40 function calls in 0.101 seconds
********** big **********
40 function calls in 5.006 seconds
Ordered by: cumulative time
ncalls tottime percall cumtime percall filename:lineno(function)
10 5.005 0.501 5.005 0.501 {built-in method time.sleep}
10 0.000 0.000 0.000 0.000 /home/seba-1511/Dropbox/Dev/perf/ppt/profiler.py:42(time)
10 0.000 0.000 0.000 0.000 /home/seba-1511/Dropbox/Dev/perf/ppt/profiler.py:17(stop)
10 0.000 0.000 0.000 0.000 {method 'disable' of '_lsprof.Profiler' objects}
********** medium **********
40 function calls in 3.003 seconds
Ordered by: cumulative time
ncalls tottime percall cumtime percall filename:lineno(function)
10 3.003 0.300 3.003 0.300 {built-in method time.sleep}
10 0.000 0.000 0.000 0.000 /home/seba-1511/Dropbox/Dev/perf/ppt/profiler.py:42(time)
10 0.000 0.000 0.000 0.000 /home/seba-1511/Dropbox/Dev/perf/ppt/profiler.py:17(stop)
10 0.000 0.000 0.000 0.000 {method 'disable' of '_lsprof.Profiler' objects}
********** fast **********
40 function calls in 0.101 seconds
Ordered by: cumulative time
ncalls tottime percall cumtime percall filename:lineno(function)
10 0.101 0.010 0.101 0.010 {built-in method time.sleep}
9 0.000 0.000 0.000 0.000 /home/seba-1511/Dropbox/Dev/perf/ppt/profiler.py:42(time)
10 0.000 0.000 0.000 0.000 /home/seba-1511/Dropbox/Dev/perf/ppt/profiler.py:17(stop)
1 0.000 0.000 0.000 0.000 /home/seba-1511/Dropbox/Dev/perf/ppt/profiler.py:53(stop)
10 0.000 0.000 0.000 0.000 {method 'disable' of '_lsprof.Profiler' objects}
Plotting
The following start a Visdom server and plots 4 lines of random samples.
import ppt
import random, time
if __name__ == '__main__':
ppt.plot(1)
ppt.plot(1)
ppt.plot(1)
ppt.plot(1)
for i in range(10):
for session in ['a', 'b', 'c', 'd']:
time.sleep(0.2)
ppt.plot(random.random(), session)
ppt.close()
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