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Python Library Reference

Previous: 10.1 Introduction to the Up: 10. The Python Profiler Next: 10.3 Instant Users Manual

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10.2 How Is This Profiler Different From The Old Profiler?

(This section is of historical importance only; the old profiler discussed here was last seen in Python 1.1.)

The big changes from old profiling module are that you get more information, and you pay less CPU time. It's not a trade-off, it's a trade-up.

To be specific:

Bugs removed:

Local stack frame is no longer molested, execution time is now charged to correct functions.

Accuracy increased:

Profiler execution time is no longer charged to user's code, calibration for platform is supported, file reads are not done by profiler during profiling (and charged to user's code!).

Speed increased:

Overhead CPU cost was reduced by more than a factor of two (perhaps a factor of five), lightweight profiler module is all that must be loaded, and the report generating module (pstats) is not needed during profiling.

Recursive functions support:

Cumulative times in recursive functions are correctly calculated; recursive entries are counted.

Large growth in report generating UI:

Distinct profiles runs can be added together forming a comprehensive report; functions that import statistics take arbitrary lists of files; sorting criteria is now based on keywords (instead of 4 integer options); reports shows what functions were profiled as well as what profile file was referenced; output format has been improved.

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Python Library Reference

Previous: 10.1 Introduction to the Up: 10. The Python Profiler Next: 10.3 Instant Users Manual

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Release 2.3.4, documentation updated on May 20, 2004.