[Tutor] timing functions

[Andy W]

Hi Kevin

The code breaks, because of the arguments it expects. You can do one of two
[simple] things to fix it.
The function is defined to receive the arguments (num_times, *funcs)

*funcs accepts any arguments after num_times.
So the first solution would be to change the function call:
      do_timing(100, makezeros.lots_of_appends, makezeros.one_multiply)
      #note that the functions aren't in a tuple anymore. *funcs is a tuple
of all the arguments after num_times

The second solution would be to change the function definition, and keep the
function call the same.
Like so:
      def do_timing(num_times, funcs):
      #Now the functions must be in a sequence

HTH
Andy W

> import time, makezeros
>
> def do_timing(num_times, *funcs):
>     totals = {}
>     for func in funcs: totals[func] = 0.0
>     for x in range(num_times):
>         for func in funcs:
>             starttime = time.time()         # record starting time
>             apply(func)
>             stoptime = time.time()          # record ending time
>             elapsed = stoptime-starttime    # difference yields time
elapsed
>             totals[func] = totals[func] + elapsed
>     for func in funcs:
>         print "Running %s %d times took %.3f seconds" % (func.__name__,
>                                                          num_times,
>                                                          totals[func])
>
> do_timing(100, (makezeros.lots_of_appends, makezeros.one_multiply))
>
> # ftimer.do_timing(100, (ftimer.lots_of_appends, ftimer.one_multiply))
>
>
> # csh> python timings.py
> # Running lots_of_appends 100 times took 7.891 seconds
> # Running one_multiply 100 times took 0.120 seconds
> #
> #
> # >>> import profile
> # >>> from timings import *
> # >>> from makezeros import *
> # >>> profile.run('do_timing(100, (lots_of_appends, one_multiply))')
> # Running lots_of_appends 100 times took 8.773 seconds
> # Running one_multiply 100 times took 0.090 seconds
> # ...
> #
>
>
>
>
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