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 -- http://mail.python.org/mailman/listinfo/python-list
