cpython/Doc/lib/libhotshot.tex

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\section{\module{hotshot} ---
High performance logging profiler}
\declaremodule{standard}{hotshot}
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\modulesynopsis{High performance logging profiler, mostly written in C.}
\moduleauthor{Fred L. Drake, Jr.}{fdrake@acm.org}
\sectionauthor{Anthony Baxter}{anthony@interlink.com.au}
\versionadded{2.2}
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This module provides a nicer interface to the \module{_hotshot} C module.
Hotshot is a replacement for the existing \refmodule{profile} module. As it's
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written mostly in C, it should result in a much smaller performance impact
than the existing \refmodule{profile} module.
\begin{classdesc}{Profile}{logfile\optional{,
lineevents\code{=0}\optional{,
linetimings\code{=1}}}}
The profiler object. The argument \var{logfile} is the name of a log
file to use for logged profile data. The argument \var{lineevents}
specifies whether to generate events for every source line, or just on
function call/return. It defaults to \code{0} (only log function
call/return). The argument \var{linetimings} specifies whether to
record timing information. It defaults to \code{1} (store timing
information).
\end{classdesc}
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\subsection{Profile Objects \label{hotshot-objects}}
Profile objects have the following methods:
\begin{methoddesc}{addinfo}{key, value}
Add an arbitrary labelled value to the profile output.
\end{methoddesc}
\begin{methoddesc}{close}{}
Close the logfile and terminate the profiler.
\end{methoddesc}
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\begin{methoddesc}{fileno}{}
Return the file descriptor of the profiler's log file.
\end{methoddesc}
\begin{methoddesc}{run}{cmd}
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Profile an \keyword{exec}-compatible string in the script environment.
The globals from the \refmodule[main]{__main__} module are used as
both the globals and locals for the script.
\end{methoddesc}
\begin{methoddesc}{runcall}{func, *args, **keywords}
Profile a single call of a callable.
Additional positional and keyword arguments may be passed
along; the result of the call is returned, and exceptions are
allowed to propogate cleanly, while ensuring that profiling is
disabled on the way out.
\end{methoddesc}
\begin{methoddesc}{runctx}{cmd, globals, locals}
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Evaluate an \keyword{exec}-compatible string in a specific environment.
The string is compiled before profiling begins.
\end{methoddesc}
\begin{methoddesc}{start}{}
Start the profiler.
\end{methoddesc}
\begin{methoddesc}{stop}{}
Stop the profiler.
\end{methoddesc}
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\subsection{Using hotshot data}
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\declaremodule{standard}{hotshot.stats}
\modulesynopsis{Statistical analysis for Hotshot}
\versionadded{2.2}
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This module loads hotshot profiling data into the standard \module{pstats}
Stats objects.
\begin{funcdesc}{load}{filename}
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Load hotshot data from \var{filename}. Returns an instance
of the \class{pstats.Stats} class.
\end{funcdesc}
\begin{seealso}
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\seemodule{profile}{The \module{profile} module's \class{Stats} class}
\end{seealso}
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\subsection{Example Usage \label{hotshot-example}}
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Note that this example runs the python ``benchmark'' pystones. It can
take some time to run, and will produce large output files.
\begin{verbatim}
>>> import hotshot, hotshot.stats, test.pystone
>>> prof = hotshot.Profile("stones.prof")
>>> benchtime, stones = prof.runcall(test.pystone.pystones)
>>> prof.close()
>>> stats = hotshot.stats.load("stones.prof")
>>> stats.strip_dirs()
>>> stats.sort_stats('time', 'calls')
>>> stats.print_stats(20)
850004 function calls in 10.090 CPU seconds
Ordered by: internal time, call count
ncalls tottime percall cumtime percall filename:lineno(function)
1 3.295 3.295 10.090 10.090 pystone.py:79(Proc0)
150000 1.315 0.000 1.315 0.000 pystone.py:203(Proc7)
50000 1.313 0.000 1.463 0.000 pystone.py:229(Func2)
.
.
.
\end{verbatim}