On Jun 19, 12:40 pm, Paul McGuire <[EMAIL PROTECTED]> wrote: > I just ran my pyparsing unit tests with the latest Python 2.6b1 > (labeled internally as Python 2.6a3 - ???), and the current 1.5.0 > version of pyparsing runs with no warnings or regressions. > > I was pleasantly surprised by the improved performance. The most > complex parser I have is the Verilog parser, and I have just under 300 > sample input files, so the test gets a chance to run over a range of > code and source inputs. Here are the lines/second parsing for the > Verilog data (higher numbers are better): > > Python V2.5.1 Python V2.6b1 > base > 209.2 307.0 > > with packrat optimization enabled > 349.8 408.0 > > This is a huge percentage improvement, anywhere from 15-50%! I do not > know what it is about 2.6 that runs so much faster, but given that > packratting achieves somewhat less improvement, I would guess that the > 2.6 performance comes from some optimization in making function calls, > or in GC of local variables when functions are completed (since > packratting is a form of internal memoization of parse expressions, > which thereby avoids duplicate calls to parsing functions). > > Using psyco typically gives another 30-50% performance improvement, > but there is no psyco available for 2.6 yet, so I skipped those tests > for now. > > -- Paul
Tests was made on Windows ? Just try pybench on 2.6 and 2.5, and 2.6 is 17% better than 2.5 ! Very nice ! But I suspect the new compiler with Profile Guided Optimization (PGO) to be the main cause of this nice boost... -- http://mail.python.org/mailman/listinfo/python-list
