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authorGeorg Brandl <georg@python.org>2009-01-03 21:18:54 (GMT)
committerGeorg Brandl <georg@python.org>2009-01-03 21:18:54 (GMT)
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@@ -51,15 +51,15 @@ examine the results of a profile operation.
The Python standard library provides two different profilers:
-#. :mod:`cProfile` is recommended for most users; it's a C extension
+#. :mod:`cProfile` is recommended for most users; it's a C extension
with reasonable overhead
- that makes it suitable for profiling long-running programs.
+ that makes it suitable for profiling long-running programs.
Based on :mod:`lsprof`,
- contributed by Brett Rosen and Ted Czotter.
+ contributed by Brett Rosen and Ted Czotter.
#. :mod:`profile`, a pure Python module whose interface is imitated by
- :mod:`cProfile`. Adds significant overhead to profiled programs.
- If you're trying to extend
+ :mod:`cProfile`. Adds significant overhead to profiled programs.
+ If you're trying to extend
the profiler in some way, the task might be easier with this module.
Copyright © 1994, by InfoSeek Corporation.
@@ -260,24 +260,24 @@ reading the source code for these modules.
that the text string in the far right column was used to sort the output. The
column headings include:
- ncalls
+ ncalls
for the number of calls,
- tottime
+ tottime
for the total time spent in the given function (and excluding time made in calls
to sub-functions),
- percall
+ percall
is the quotient of ``tottime`` divided by ``ncalls``
- cumtime
+ cumtime
is the total time spent in this and all subfunctions (from invocation till
exit). This figure is accurate *even* for recursive functions.
- percall
+ percall
is the quotient of ``cumtime`` divided by primitive calls
- filename:lineno(function)
+ filename:lineno(function)
provides the respective data of each function
When there are two numbers in the first column (for example, ``43/3``), then the