← Back
Editing: timeit.cpython-33.pyo
� �� fk0 c @ s d Z d d l Z d d l Z d d l Z y d d l Z Wn e k rT d Z Yn Xd g Z d Z d Z d Z e j Z d Z d d � Z d d � Z Gd d � d � Z d d e e d d � Z d d e e 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] } | � q W| � } | | S( N( ( u _itu _timeru _funcu _t0u _iu _t1( u setup( u+ /opt/alt/python33/lib64/python3.3/timeit.pyu inner[ s u _template_func.<locals>.inner( ( u setupu funcu inner( ( u setupu+ /opt/alt/python33/lib64/python3.3/timeit.pyu _template_funcY s u _template_funcc B s_ | Ee Z d Z d Z d d e d d � Z d d d � Z e d d � Z e e d d � 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. u passc sc | | _ i � t | t � r� t | d � } t | t � rf t | d � } t j d | d | � } n= t | � r� t j d | d d � } | � d <n t d � � | | _ t | t d � } t | t � � � � d | _ n~ t | � rSd | _ t | t � r#| � � � f d d � } n t | � s>t d � � n t | | � | _ n t d � � d 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 C sr t r t j d | � } n 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 u Timer.repeatN( u __name__u __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 d d g � \ } } Wn@ | j k r� } z t | � t d � d SWYd d } ~ Xn Xt } d j | � p� d } d } g } t } d } d � x| D]\ } } | d0 k rt | � } n | d1 k r+| j | � n | d2 k r[t | � } | d k r[d } q[n | d3 k rst j } n | d4 k r�t j } n | d5 k r�t j } n | d6 k r�| r�� d 7� n | d 7} n | d7 k r� t t d" d# �d Sq� Wd j | � pd } d d l } t j j d | j � | d k rE| | � } n t | | | � } | d k r�x� t d d$ � D]l } d$ | } y | j | � } Wn | j � d SYn X| r�t d% | � | f � n | d& k rsPqsqsWn y | j | | � } Wn | j � d SYn Xt | � } | rSt d' d# j � f d( d) � | D� � � n t d* | d" d# �| d+ | } | d, k r�t d- | � | f � nQ | d, } | d, k r�t d. | � | f � n! | d, } t d/ | � | f � d S(8 u� Main program, used when run as a script. 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 u %d loops -> %.*g secsg�������?u raw times:c s g | ] } d � | f � q S( u %.*g( ( u .0u x( u precision( u+ /opt/alt/python33/lib64/python3.3/timeit.pyu <listcomp>? s u main.<locals>.<listcomp>u %d loops,g ��.Ai� u best of %d: %.*g usec per loopu best of %d: %.*g msec per loopu best of %d: %.*g sec per loop( u -nu --number( u -su --setup( u -ru --repeat( u -tu --time( u -cu --clock( u -pu --process( u -vu --verbose( u -hu --help( u Noneu sysu argvu getoptu erroru printu 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� , u mainu __main__( u __doc__u gcu sysu timeu itertoolsu ImportErroru Noneu __all__u dummy_src_nameu default_numberu default_repeatu perf_counteru default_timeru templateu reindentu _template_funcu Timeru timeitu repeatu mainu __name__u exit( ( ( u+ /opt/alt/python33/lib64/python3.3/timeit.pyu <module>6 s. z e
Save File
Cancel