(cache_size_limit=128)
Enables "packrat" parsing, which adds memoizing to the parsing logic.
           Repeated parse attempts at the same string location (which happens
           often in many complex grammars) can immediately return a cached value,
           instead of re-executing parsing/validating code.  Memoizing is done of
           both valid results and parsing exceptions.
           
           Parameters:
            - cache_size_limit - (default=C{128}) - if an integer value is provided
              will limit the size of the packrat cache; if None is passed, then
              the cache size will be unbounded; if 0 is passed, the cache will
              be effectively disabled.
            
           This speedup may break existing programs that use parse actions that
           have side-effects.  For this reason, packrat parsing is disabled when
           you first import pyparsing.  To activate the packrat feature, your
           program must call the class method C{ParserElement.enablePackrat()}.  If
           your program uses C{psyco} to "compile as you go", you must call
           C{enablePackrat} before calling C{psyco.full()}.  If you do not do this,
           Python will crash.  For best results, call C{enablePackrat()} immediately
           after importing pyparsing.
           
           Example::
               import pyparsing
               pyparsing.ParserElement.enablePackrat()
Enables "packrat" parsing, which adds memoizing to the parsing logic.
           Repeated parse attempts at the same string location (which happens
           often in many complex grammars) can immediately return a cached value,
           instead of re-executing parsing/validating code.  Memoizing is done of
           both valid results and parsing exceptions.
           
           Parameters:
            - cache_size_limit - (default=C{128}) - if an integer value is provided
              will limit the size of the packrat cache; if None is passed, then
              the cache size will be unbounded; if 0 is passed, the cache will
              be effectively disabled.
            
           This speedup may break existing programs that use parse actions that
           have side-effects.  For this reason, packrat parsing is disabled when
           you first import pyparsing.  To activate the packrat feature, your
           program must call the class method C{ParserElement.enablePackrat()}.  If
           your program uses C{psyco} to "compile as you go", you must call
           C{enablePackrat} before calling C{psyco.full()}.  If you do not do this,
           Python will crash.  For best results, call C{enablePackrat()} immediately
           after importing pyparsing.
           
           Example::
               import pyparsing
               pyparsing.ParserElement.enablePackrat()
Enables packrat parsing which adds memoizing to the parsing logic . Repeated parse attempts at the same string location ( which happens often in many complex grammars ) can immediately return a cached value instead of re - executing parsing / validating code . Memoizing is done of both valid results and parsing exceptions . Parameters : - cache_size_limit - ( default = C { 128 } ) - if an integer value is provided will limit the size of the packrat cache ; if None is passed then the cache size will be unbounded ; if 0 is passed the cache will be effectively disabled . This speedup may break existing programs that use parse actions that have side - effects . For this reason packrat parsing is disabled when you first import pyparsing . To activate the packrat feature your program must call the class method C { ParserElement . enablePackrat () } . If your program uses C { psyco } to compile as you go you must call C { enablePackrat } before calling C { psyco . full () } . If you do not do this Python will crash . For best results call C { enablePackrat () } immediately after importing pyparsing . Example :: import pyparsing pyparsing . ParserElement . enablePackrat ()
def enablePackrat(cache_size_limit=128):
        """Enables "packrat" parsing, which adds memoizing to the parsing logic.
           Repeated parse attempts at the same string location (which happens
           often in many complex grammars) can immediately return a cached value,
           instead of re-executing parsing/validating code.  Memoizing is done of
           both valid results and parsing exceptions.
           
           Parameters:
            - cache_size_limit - (default=C{128}) - if an integer value is provided
              will limit the size of the packrat cache; if None is passed, then
              the cache size will be unbounded; if 0 is passed, the cache will
              be effectively disabled.
            
           This speedup may break existing programs that use parse actions that
           have side-effects.  For this reason, packrat parsing is disabled when
           you first import pyparsing.  To activate the packrat feature, your
           program must call the class method C{ParserElement.enablePackrat()}.  If
           your program uses C{psyco} to "compile as you go", you must call
           C{enablePackrat} before calling C{psyco.full()}.  If you do not do this,
           Python will crash.  For best results, call C{enablePackrat()} immediately
           after importing pyparsing.
           
           Example::
               import pyparsing
               pyparsing.ParserElement.enablePackrat()
        """
        if not ParserElement._packratEnabled:
            ParserElement._packratEnabled = True
            if cache_size_limit is None:
                ParserElement.packrat_cache = ParserElement._UnboundedCache()
            else:
                ParserElement.packrat_cache = ParserElement._FifoCache(cache_size_limit)
            ParserElement._parse = ParserElement._parseCache
def enablePackrat ( cache_size_limit = 128 ) : if not ParserElement . _packratEnabled : ParserElement . _packratEnabled = True if cache_size_limit is None : ParserElement . packrat_cache = ParserElement . _UnboundedCache ( ) else : ParserElement . packrat_cache = ParserElement . _FifoCache ( cache_size_limit ) ParserElement . _parse = ParserElement . _parseCache