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A small timing utility library, handling framerates and rough benchmarks.

Project description

Useful tools when dealing with clocks for timing and benchmarking. Will use a different method for retrieving accurate, monotonic clock values (see source for detail).

Tested on Python 2.7 and 3.3+. The latter is recommended because the time module contains much better access to OS timing functions.

Examples

Simple framerate-limiter:

>>> import ticking
>>> for frame, t in ticking.Clock(0.5):
...   print(frame, t)
...
1 0.5
2 1.0
3 1.5
...

After dropping a frame, the clock is aligned again:

>>> import time
>>> for frame, t in ticking.Clock(0.5):
...   print(frame, t)
...   time.sleep(0.8)  # drop a frame
...
1 0.5
3 1.5
5 2.5

Measuring time:

>>> with ticking.Stopwatch('Demonstration') as sw:
...   time.sleep(1.3)
...
>>> sw.total
1.3013252970049507
>>> print(sw)
Demonstration: took 1.30s

Quick in-program profiling:

>>> with ticking.profiled('testprofile.prof'):
...   time.sleep(1.0)
...
>>> import pstats
>>> pstats.Stats('testprofile.prof').print_stats()
Wed Jun  8 11:21:38 2016    testprofile.prof

         5 function calls in 1.001 seconds

   Random listing order was used

   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
        1    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}
        1    1.001    1.001    1.001    1.001 {built-in method sleep}
        1    0.000    0.000    0.000    0.000 /usr/lib/python3.4/contextlib.py:63(__exit__)
        1    0.000    0.000    0.000    0.000 {built-in method next}
        1    0.000    0.000    0.000    0.000 /home/marc/Documents/github.com/mbr/ticking/ticking.py:137(profiled)

Project details


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