77 lines
1.9 KiB
Python
77 lines
1.9 KiB
Python
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"""Simple tools for timing functions' execution, when IPython is not available. """
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import timeit
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import math
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_scales = [1e0, 1e3, 1e6, 1e9]
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_units = ['s', 'ms', '\N{GREEK SMALL LETTER MU}s', 'ns']
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def timed(func, setup="pass", limit=None):
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"""Adaptively measure execution time of a function. """
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timer = timeit.Timer(func, setup=setup)
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repeat, number = 3, 1
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for i in range(1, 10):
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if timer.timeit(number) >= 0.2:
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break
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elif limit is not None and number >= limit:
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break
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else:
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number *= 10
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time = min(timer.repeat(repeat, number)) / number
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if time > 0.0:
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order = min(-int(math.floor(math.log10(time)) // 3), 3)
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else:
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order = 3
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return (number, time, time*_scales[order], _units[order])
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# Code for doing inline timings of recursive algorithms.
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def __do_timings():
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import os
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res = os.getenv('SYMPY_TIMINGS', '')
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res = [x.strip() for x in res.split(',')]
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return set(res)
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_do_timings = __do_timings()
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_timestack = None
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def _print_timestack(stack, level=1):
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print('-'*level, '%.2f %s%s' % (stack[2], stack[0], stack[3]))
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for s in stack[1]:
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_print_timestack(s, level + 1)
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def timethis(name):
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def decorator(func):
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global _do_timings
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if not name in _do_timings:
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return func
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def wrapper(*args, **kwargs):
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from time import time
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global _timestack
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oldtimestack = _timestack
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_timestack = [func.func_name, [], 0, args]
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t1 = time()
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r = func(*args, **kwargs)
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t2 = time()
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_timestack[2] = t2 - t1
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if oldtimestack is not None:
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oldtimestack[1].append(_timestack)
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_timestack = oldtimestack
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else:
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_print_timestack(_timestack)
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_timestack = None
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return r
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return wrapper
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return decorator
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