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The parsing and namespace cleaning isn't terribly expensive, but it does
add up. It was adding an extra 5sec when processing 100,000 basic
message stanzas.
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computing logging data that may never be used. This is a HUGE performance improvement; in some of my test runs, unnecessary string creation was accounting for > 60% of all CPU time.
Note that using % in a string will _always_ perform the sting substitutions, because the strings are constructed before the function is called. So log.debug('%s' % expensiveoperation()) will take about the same CPU time whether or not the logging level is DEBUG or INFO. if you use , no substitutions are performed unless the string is actually logged
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This should prevent some reference cycles that will cause garbage
collection issues.
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SleekTest can now use matchers when checking stanzas, using
the method parameter for self.check(), self.recv(), and self.send():
method='exact' - Same behavior as before
'xpath' - Use xpath matcher
'id' - Use ID matcher
'mask' - Use XML mask matcher
'stanzapath' - Use StanzaPath matcher
recv_feature and send_feature only accept 'exact' and 'mask' for now.
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Each module should now log into its own logger.
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Cleaned up the atom entry stanza.
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Cleaned up the __init__.py files.
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Matchers are now PEP8 compliant and have documentation.
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xmlstream.matcher __init__.py files to make it simpler to import common classes.
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references to nonexistant license.txt to LICENSE.
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* added stanza unhandled (unhandled iqs now reply with feature-not-implemented)
* added stanza exceptions (stanzas may now reply with exceptions when their handler raises an exception)
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