chancyk/zope_textindex_profile

## zope_textindex_profile
Line #      Hits         Time  Per Hit   % Time  Line Contents
==============================================================
    66                                               @profile
    67                                               def apply(self, querytext, start=0, count=None):
    68      8734        34597      4.0      0.3          parser = QueryParser(self.lexicon)
    69      8734      1622182    185.7     14.1          tree = parser.parseQuery(querytext)
    70      8645      2041557    236.2     17.7          results = tree.executeQuery(self.index)
    71      8645        12093      1.4      0.1          if results:
    72      8645       675324     78.1      5.9              qw = self.index.query_weight(tree.terms())
    73
    74                                                       # Hack to avoid ZeroDivisionError
    75      8645        12596      1.5      0.1              if qw == 0:
    76                                                           qw = 1.0
    77
    78      8645         9764      1.1      0.1              qw *= 1.0
    79
    80   2623759      2421427      0.9     21.0              for docid, score in six.iteritems(results):
    81   2615114      2049659      0.8     17.8                  try:
    82   2615114      2636516      1.0     22.9                      results[docid] = score/qw
    83                                                           except TypeError:
    84                                                               # We overflowed the score, perhaps wildly unlikely.
    85                                                               # Who knows.
    86                                                               results[docid] = 2**64 // 10
    87
    88      8645         7268      0.8      0.1          return results
	Line # Hits Time Per Hit % Time Line Contents
	==============================================================
	66 @profile
	67 def apply(self, querytext, start=0, count=None):
	68 8734 34597 4.0 0.3 parser = QueryParser(self.lexicon)
	69 8734 1622182 185.7 14.1 tree = parser.parseQuery(querytext)
	70 8645 2041557 236.2 17.7 results = tree.executeQuery(self.index)
	71 8645 12093 1.4 0.1 if results:
	72 8645 675324 78.1 5.9 qw = self.index.query_weight(tree.terms())
	73
	74 # Hack to avoid ZeroDivisionError
	75 8645 12596 1.5 0.1 if qw == 0:
	76 qw = 1.0
	77
	78 8645 9764 1.1 0.1 qw *= 1.0
	79
	80 2623759 2421427 0.9 21.0 for docid, score in six.iteritems(results):
	81 2615114 2049659 0.8 17.8 try:
	82 2615114 2636516 1.0 22.9 results[docid] = score/qw
	83 except TypeError:
	84 # We overflowed the score, perhaps wildly unlikely.
	85 # Who knows.
	86 results[docid] = 2**64 // 10
	87
	88 8645 7268 0.8 0.1 return results