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e d d � Z d d d d d �Z e d k re j e � � n d S( u� Tool for measuring execution time of small code snippets.
This module avoids a number of common traps for measuring execution
times. See also Tim Peters' introduction to the Algorithms chapter in
the Python Cookbook, published by O'Reilly.
Library usage: see the Timer class.
Command line usage:
python timeit.py [-n N] [-r N] [-s S] [-t] [-c] [-p] [-h] [--] [statement]
Options:
-n/--number N: how many times to execute 'statement' (default: see below)
-r/--repeat N: how many times to repeat the timer (default 3)
-s/--setup S: statement to be executed once initially (default 'pass')
-p/--process: use time.process_time() (default is time.perf_counter())
-t/--time: use time.time() (deprecated)
-c/--clock: use time.clock() (deprecated)
-v/--verbose: print raw timing results; repeat for more digits precision
-h/--help: print this usage message and exit
--: separate options from statement, use when statement starts with -
statement: statement to be timed (default 'pass')
A multi-line statement may be given by specifying each line as a
separate argument; indented lines are possible by enclosing an
argument in quotes and using leading spaces. Multiple -s options are
treated similarly.
If -n is not given, a suitable number of loops is calculated by trying
successive powers of 10 until the total time is at least 0.2 seconds.
The difference in default timer function is because on Windows,
clock() has microsecond granularity but time()'s granularity is 1/60th
of a second; on Unix, clock() has 1/100th of a second granularity and
time() is much more precise. On either platform, the default timer
functions measure wall clock time, not the CPU time. This means that
other processes running on the same computer may interfere with the
timing. The best thing to do when accurate timing is necessary is to
repeat the timing a few times and use the best time. The -r option is
good for this; the default of 3 repetitions is probably enough in most
cases. On Unix, you can use clock() to measure CPU time.
Note: there is a certain baseline overhead associated with executing a
pass statement. The code here doesn't try to hide it, but you should
be aware of it. The baseline overhead can be measured by invoking the
program without arguments.
The baseline overhead differs between Python versions! Also, to
fairly compare older Python versions to Python 2.3, you may want to
use python -O for the older versions to avoid timing SET_LINENO
instructions.
i Nu Timeru <timeit-src>i@B i u�
def inner(_it, _timer):
{setup}
_t0 = _timer()
for _i in _it:
{stmt}
_t1 = _timer()
return _t1 - _t0
c C s | j d d d | � S( u* Helper to reindent a multi-line statement.u
u ( u replace( u srcu indent( ( u+ /opt/alt/python33/lib64/python3.3/timeit.pyu reindentU s u reindentc s | � f d d � } | S( u? Create a timer function. Used if the "statement" is a callable.c s9 � � | � } x | D]
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� Z d S( u TimeruI Class for timing execution speed of small code snippets.
The constructor takes a statement to be timed, an additional
statement used for setup, and a timer function. Both statements
default to 'pass'; the timer function is platform-dependent (see
module doc string).
To measure the execution time of the first statement, use the
timeit() method. The repeat() method is a convenience to call
timeit() multiple times and return a list of results.
The statements may contain newlines, as long as they don't contain
multi-line string literals.
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S( u# Constructor. See class doc string.i i u stmtu setupu _setup()u _setupu& setup is neither a string nor callableu execu innerc s t � t � � � d S( N( u execu globals( ( u _setupu ns( u+ /opt/alt/python33/lib64/python3.3/timeit.pyu setup� s u Timer.__init__.<locals>.setupu% stmt is neither a string nor callableN( u timeru
isinstanceu stru reindentu templateu formatu callableu
ValueErroru srcu compileu dummy_src_nameu execu globalsu inneru Noneu _template_func( u selfu stmtu setupu timeru srcu code( ( u _setupu nsu+ /opt/alt/python33/lib64/python3.3/timeit.pyu __init__t s0
u Timer.__init__c C sl d d l } d d l } | j d k rX t | j � d | j j d � t f | j t <n | j d | � d S( u� Helper to print a traceback from the timed code.
Typical use:
t = Timer(...) # outside the try/except
try:
t.timeit(...) # or t.repeat(...)
except:
t.print_exc()
The advantage over the standard traceback is that source lines
in the compiled template will be displayed.
The optional file argument directs where the traceback is
sent; it defaults to sys.stderr.
i Nu
u file( u linecacheu tracebacku srcu Noneu lenu splitu dummy_src_nameu cacheu print_exc( u selfu fileu linecacheu traceback( ( u+ /opt/alt/python33/lib64/python3.3/timeit.pyu print_exc� s u Timer.print_excc
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d g | } t j � } t j � z | j | | j � } Wd | rm t j � n X| S( u� Time 'number' executions of the main statement.
To be precise, this executes the setup statement once, and
then returns the time it takes to execute the main statement
a number of times, as a float measured in seconds. The
argument is the number of times through the loop, defaulting
to one million. The main statement, the setup statement and
the timer function to be used are passed to the constructor.
N( u itertoolsu repeatu Noneu gcu isenabledu disableu inneru timeru enable( u selfu numberu itu gcoldu timing( ( u+ /opt/alt/python33/lib64/python3.3/timeit.pyu timeit� s
u Timer.timeitc C s= g } x0 t | � D]" } | j | � } | j | � q W| S( u� Call timeit() a few times.
This is a convenience function that calls the timeit()
repeatedly, returning a list of results. The first argument
specifies how many times to call timeit(), defaulting to 3;
the second argument specifies the timer argument, defaulting
to one million.
Note: it's tempting to calculate mean and standard deviation
from the result vector and report these. However, this is not
very useful. In a typical case, the lowest value gives a
lower bound for how fast your machine can run the given code
snippet; higher values in the result vector are typically not
caused by variability in Python's speed, but by other
processes interfering with your timing accuracy. So the min()
of the result is probably the only number you should be
interested in. After that, you should look at the entire
vector and apply common sense rather than statistics.
( u rangeu timeitu append( u selfu repeatu numberu ru iu t( ( u+ /opt/alt/python33/lib64/python3.3/timeit.pyu repeat� s
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__module__u __qualname__u __doc__u
default_timeru __init__u Noneu print_excu default_numberu timeitu default_repeatu repeat( u
__locals__( ( u+ /opt/alt/python33/lib64/python3.3/timeit.pyu Timerd s
u passc C s t | | | � j | � S( uC Convenience function to create Timer object and call timeit method.( u Timeru timeit( u stmtu setupu timeru number( ( u+ /opt/alt/python33/lib64/python3.3/timeit.pyu timeit� s u timeitc C s t | | | � j | | � S( uC Convenience function to create Timer object and call repeat method.( u Timeru repeat( u stmtu setupu timeru repeatu number( ( u+ /opt/alt/python33/lib64/python3.3/timeit.pyu repeat� s u repeatu _wrap_timerc s� | d k r" t j d d � } n d d l } y7 | j | d d d d d d d
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The optional 'args' argument specifies the command line to be parsed,
defaulting to sys.argv[1:].
The return value is an exit code to be passed to sys.exit(); it
may be None to indicate success.
When an exception happens during timing, a traceback is printed to
stderr and the return value is 1. Exceptions at other times
(including the template compilation) are not caught.
'_wrap_timer' is an internal interface used for unit testing. If it
is not None, it must be a callable that accepts a timer function
and returns another timer function (used for unit testing).
i Ni u n:s:r:tcpvhu number=u setup=u repeat=u timeu clocku processu verboseu helpu# use -h/--help for command line helpi u
u passi u -nu --numberu -su --setupu -ru --repeatu -tu --timeu -cu --clocku -pu --processu -vu --verboseu -hu --helpu endu i
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default_timeru joinu default_repeatu intu appendu timeu clocku process_timeu __doc__u osu pathu insertu curdiru Timeru rangeu timeitu print_excu repeatu min( u argsu _wrap_timeru getoptu optsu erru timeru stmtu numberu setupu repeatu verboseu ou au osu tu iu xu ru bestu usecu msecu sec( ( u precisionu+ /opt/alt/python33/lib64/python3.3/timeit.pyu main� s�
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