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			849 lines
		
	
	
	
		
			26 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			849 lines
		
	
	
	
		
			26 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
#  Copyright (c) 1998-2002 John Aycock
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#
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#  Permission is hereby granted, free of charge, to any person obtaining
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#  a copy of this software and associated documentation files (the
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#  "Software"), to deal in the Software without restriction, including
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#  without limitation the rights to use, copy, modify, merge, publish,
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#  distribute, sublicense, and/or sell copies of the Software, and to
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#  permit persons to whom the Software is furnished to do so, subject to
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#  the following conditions:
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#
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#  The above copyright notice and this permission notice shall be
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#  included in all copies or substantial portions of the Software.
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#
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#  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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#  EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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#  MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
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#  IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
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#  CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
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#  TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
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#  SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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__version__ = 'SPARK-0.7 (pre-alpha-5)'
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import re
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# Compatibility with older pythons.
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def output(string='', end='\n'):
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    sys.stdout.write(string + end)
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try:
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    sorted
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except NameError:
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    def sorted(seq):
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        seq2 = seq[:]
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        seq2.sort()
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        return seq2
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def _namelist(instance):
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    namelist, namedict, classlist = [], {}, [instance.__class__]
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    for c in classlist:
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        for b in c.__bases__:
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            classlist.append(b)
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        for name in c.__dict__.keys():
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            if name not in namedict:
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                namelist.append(name)
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                namedict[name] = 1
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    return namelist
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class GenericScanner:
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    def __init__(self, flags=0):
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        pattern = self.reflect()
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        self.re = re.compile(pattern, re.VERBOSE|flags)
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        self.index2func = {}
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        for name, number in self.re.groupindex.items():
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            self.index2func[number-1] = getattr(self, 't_' + name)
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    def makeRE(self, name):
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        doc = getattr(self, name).__doc__
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        rv = '(?P<%s>%s)' % (name[2:], doc)
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        return rv
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    def reflect(self):
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        rv = []
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        for name in _namelist(self):
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            if name[:2] == 't_' and name != 't_default':
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                rv.append(self.makeRE(name))
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        rv.append(self.makeRE('t_default'))
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        return '|'.join(rv)
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    def error(self, s, pos):
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        output("Lexical error at position %s" % pos)
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        raise SystemExit
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    def tokenize(self, s):
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        pos = 0
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        n = len(s)
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        while pos < n:
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            m = self.re.match(s, pos)
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            if m is None:
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                self.error(s, pos)
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            groups = m.groups()
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            for i in range(len(groups)):
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                if groups[i] and i in self.index2func:
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                    self.index2func[i](groups[i])
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            pos = m.end()
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    def t_default(self, s):
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        r'( . | \n )+'
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        output("Specification error: unmatched input")
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        raise SystemExit
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#
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#  Extracted from GenericParser and made global so that [un]picking works.
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#
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class _State:
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    def __init__(self, stateno, items):
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        self.T, self.complete, self.items = [], [], items
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        self.stateno = stateno
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class GenericParser:
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    #
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    #  An Earley parser, as per J. Earley, "An Efficient Context-Free
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    #  Parsing Algorithm", CACM 13(2), pp. 94-102.  Also J. C. Earley,
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    #  "An Efficient Context-Free Parsing Algorithm", Ph.D. thesis,
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    #  Carnegie-Mellon University, August 1968.  New formulation of
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    #  the parser according to J. Aycock, "Practical Earley Parsing
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    #  and the SPARK Toolkit", Ph.D. thesis, University of Victoria,
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    #  2001, and J. Aycock and R. N. Horspool, "Practical Earley
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    #  Parsing", unpublished paper, 2001.
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    #
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    def __init__(self, start):
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        self.rules = {}
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        self.rule2func = {}
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        self.rule2name = {}
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        self.collectRules()
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        self.augment(start)
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        self.ruleschanged = 1
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    _NULLABLE = '\e_'
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    _START = 'START'
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    _BOF = '|-'
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    #
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    #  When pickling, take the time to generate the full state machine;
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    #  some information is then extraneous, too.  Unfortunately we
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    #  can't save the rule2func map.
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    #
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    def __getstate__(self):
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        if self.ruleschanged:
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            #
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            #  XXX - duplicated from parse()
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            #
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            self.computeNull()
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            self.newrules = {}
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            self.new2old = {}
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            self.makeNewRules()
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            self.ruleschanged = 0
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            self.edges, self.cores = {}, {}
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            self.states = { 0: self.makeState0() }
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            self.makeState(0, self._BOF)
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        #
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        #  XXX - should find a better way to do this..
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        #
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        changes = 1
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        while changes:
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            changes = 0
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            for k, v in self.edges.items():
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                if v is None:
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                    state, sym = k
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                    if state in self.states:
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                        self.goto(state, sym)
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                        changes = 1
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        rv = self.__dict__.copy()
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        for s in self.states.values():
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            del s.items
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        del rv['rule2func']
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        del rv['nullable']
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        del rv['cores']
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        return rv
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    def __setstate__(self, D):
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        self.rules = {}
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        self.rule2func = {}
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        self.rule2name = {}
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        self.collectRules()
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        start = D['rules'][self._START][0][1][1]        # Blech.
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        self.augment(start)
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        D['rule2func'] = self.rule2func
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        D['makeSet'] = self.makeSet_fast
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        self.__dict__ = D
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    #
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    #  A hook for GenericASTBuilder and GenericASTMatcher.  Mess
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    #  thee not with this; nor shall thee toucheth the _preprocess
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    #  argument to addRule.
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    #
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    def preprocess(self, rule, func):       return rule, func
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    def addRule(self, doc, func, _preprocess=1):
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        fn = func
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        rules = doc.split()
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        index = []
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        for i in range(len(rules)):
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            if rules[i] == '::=':
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                index.append(i-1)
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        index.append(len(rules))
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        for i in range(len(index)-1):
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            lhs = rules[index[i]]
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            rhs = rules[index[i]+2:index[i+1]]
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            rule = (lhs, tuple(rhs))
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            if _preprocess:
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                rule, fn = self.preprocess(rule, func)
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            if lhs in self.rules:
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                self.rules[lhs].append(rule)
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            else:
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                self.rules[lhs] = [ rule ]
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            self.rule2func[rule] = fn
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            self.rule2name[rule] = func.__name__[2:]
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        self.ruleschanged = 1
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    def collectRules(self):
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        for name in _namelist(self):
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            if name[:2] == 'p_':
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                func = getattr(self, name)
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                doc = func.__doc__
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                self.addRule(doc, func)
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    def augment(self, start):
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        rule = '%s ::= %s %s' % (self._START, self._BOF, start)
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        self.addRule(rule, lambda args: args[1], 0)
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    def computeNull(self):
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        self.nullable = {}
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        tbd = []
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        for rulelist in self.rules.values():
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            lhs = rulelist[0][0]
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            self.nullable[lhs] = 0
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            for rule in rulelist:
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                rhs = rule[1]
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                if len(rhs) == 0:
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                    self.nullable[lhs] = 1
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                    continue
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                #
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                #  We only need to consider rules which
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                #  consist entirely of nonterminal symbols.
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                #  This should be a savings on typical
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                #  grammars.
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                #
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                for sym in rhs:
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                    if sym not in self.rules:
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                        break
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                else:
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                    tbd.append(rule)
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        changes = 1
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        while changes:
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            changes = 0
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            for lhs, rhs in tbd:
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                if self.nullable[lhs]:
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                    continue
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                for sym in rhs:
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                    if not self.nullable[sym]:
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                        break
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                else:
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                    self.nullable[lhs] = 1
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                    changes = 1
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    def makeState0(self):
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        s0 = _State(0, [])
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        for rule in self.newrules[self._START]:
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            s0.items.append((rule, 0))
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        return s0
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    def finalState(self, tokens):
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        #
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        #  Yuck.
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        #
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        if len(self.newrules[self._START]) == 2 and len(tokens) == 0:
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            return 1
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        start = self.rules[self._START][0][1][1]
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        return self.goto(1, start)
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    def makeNewRules(self):
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        worklist = []
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        for rulelist in self.rules.values():
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            for rule in rulelist:
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                worklist.append((rule, 0, 1, rule))
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        for rule, i, candidate, oldrule in worklist:
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            lhs, rhs = rule
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            n = len(rhs)
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            while i < n:
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                sym = rhs[i]
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                if sym not in self.rules or \
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                   not self.nullable[sym]:
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                    candidate = 0
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                    i = i + 1
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                    continue
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                newrhs = list(rhs)
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                newrhs[i] = self._NULLABLE+sym
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                newrule = (lhs, tuple(newrhs))
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                worklist.append((newrule, i+1,
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                                 candidate, oldrule))
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                candidate = 0
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                i = i + 1
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            else:
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                if candidate:
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                    lhs = self._NULLABLE+lhs
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                    rule = (lhs, rhs)
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                if lhs in self.newrules:
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                    self.newrules[lhs].append(rule)
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                else:
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                    self.newrules[lhs] = [ rule ]
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                self.new2old[rule] = oldrule
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    def typestring(self, token):
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        return None
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    def error(self, token):
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        output("Syntax error at or near `%s' token" % token)
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        raise SystemExit
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    def parse(self, tokens):
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        sets = [ [(1,0), (2,0)] ]
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        self.links = {}
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        if self.ruleschanged:
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            self.computeNull()
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            self.newrules = {}
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            self.new2old = {}
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            self.makeNewRules()
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            self.ruleschanged = 0
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            self.edges, self.cores = {}, {}
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            self.states = { 0: self.makeState0() }
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            self.makeState(0, self._BOF)
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        for i in range(len(tokens)):
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            sets.append([])
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            if sets[i] == []:
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                break
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            self.makeSet(tokens[i], sets, i)
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        else:
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            sets.append([])
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            self.makeSet(None, sets, len(tokens))
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        #_dump(tokens, sets, self.states)
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        finalitem = (self.finalState(tokens), 0)
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        if finalitem not in sets[-2]:
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            if len(tokens) > 0:
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                self.error(tokens[i-1])
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            else:
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                self.error(None)
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        return self.buildTree(self._START, finalitem,
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                              tokens, len(sets)-2)
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    def isnullable(self, sym):
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        #
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        #  For symbols in G_e only.  If we weren't supporting 1.5,
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        #  could just use sym.startswith().
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        #
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        return self._NULLABLE == sym[0:len(self._NULLABLE)]
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    def skip(self, hs, pos=0):
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        n = len(hs[1])
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        while pos < n:
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            if not self.isnullable(hs[1][pos]):
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                break
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            pos = pos + 1
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        return pos
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    def makeState(self, state, sym):
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        assert sym is not None
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        #
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        #  Compute \epsilon-kernel state's core and see if
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        #  it exists already.
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        #
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        kitems = []
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        for rule, pos in self.states[state].items:
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            lhs, rhs = rule
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            if rhs[pos:pos+1] == (sym,):
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                kitems.append((rule, self.skip(rule, pos+1)))
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        core = kitems
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        core.sort()
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        tcore = tuple(core)
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						|
        if tcore in self.cores:
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						|
            return self.cores[tcore]
 | 
						|
        #
 | 
						|
        #  Nope, doesn't exist.  Compute it and the associated
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        #  \epsilon-nonkernel state together; we'll need it right away.
 | 
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        #
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        k = self.cores[tcore] = len(self.states)
 | 
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        K, NK = _State(k, kitems), _State(k+1, [])
 | 
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        self.states[k] = K
 | 
						|
        predicted = {}
 | 
						|
 | 
						|
        edges = self.edges
 | 
						|
        rules = self.newrules
 | 
						|
        for X in K, NK:
 | 
						|
            worklist = X.items
 | 
						|
            for item in worklist:
 | 
						|
                rule, pos = item
 | 
						|
                lhs, rhs = rule
 | 
						|
                if pos == len(rhs):
 | 
						|
                    X.complete.append(rule)
 | 
						|
                    continue
 | 
						|
 | 
						|
                nextSym = rhs[pos]
 | 
						|
                key = (X.stateno, nextSym)
 | 
						|
                if nextSym not in rules:
 | 
						|
                    if key not in edges:
 | 
						|
                        edges[key] = None
 | 
						|
                        X.T.append(nextSym)
 | 
						|
                else:
 | 
						|
                    edges[key] = None
 | 
						|
                    if nextSym not in predicted:
 | 
						|
                        predicted[nextSym] = 1
 | 
						|
                        for prule in rules[nextSym]:
 | 
						|
                            ppos = self.skip(prule)
 | 
						|
                            new = (prule, ppos)
 | 
						|
                            NK.items.append(new)
 | 
						|
            #
 | 
						|
            #  Problem: we know K needs generating, but we
 | 
						|
            #  don't yet know about NK.  Can't commit anything
 | 
						|
            #  regarding NK to self.edges until we're sure.  Should
 | 
						|
            #  we delay committing on both K and NK to avoid this
 | 
						|
            #  hacky code?  This creates other problems..
 | 
						|
            #
 | 
						|
            if X is K:
 | 
						|
                edges = {}
 | 
						|
 | 
						|
        if NK.items == []:
 | 
						|
            return k
 | 
						|
 | 
						|
        #
 | 
						|
        #  Check for \epsilon-nonkernel's core.  Unfortunately we
 | 
						|
        #  need to know the entire set of predicted nonterminals
 | 
						|
        #  to do this without accidentally duplicating states.
 | 
						|
        #
 | 
						|
        core = sorted(predicted.keys())
 | 
						|
        tcore = tuple(core)
 | 
						|
        if tcore in self.cores:
 | 
						|
            self.edges[(k, None)] = self.cores[tcore]
 | 
						|
            return k
 | 
						|
 | 
						|
        nk = self.cores[tcore] = self.edges[(k, None)] = NK.stateno
 | 
						|
        self.edges.update(edges)
 | 
						|
        self.states[nk] = NK
 | 
						|
        return k
 | 
						|
 | 
						|
    def goto(self, state, sym):
 | 
						|
        key = (state, sym)
 | 
						|
        if key not in self.edges:
 | 
						|
            #
 | 
						|
            #  No transitions from state on sym.
 | 
						|
            #
 | 
						|
            return None
 | 
						|
 | 
						|
        rv = self.edges[key]
 | 
						|
        if rv is None:
 | 
						|
            #
 | 
						|
            #  Target state isn't generated yet.  Remedy this.
 | 
						|
            #
 | 
						|
            rv = self.makeState(state, sym)
 | 
						|
            self.edges[key] = rv
 | 
						|
        return rv
 | 
						|
 | 
						|
    def gotoT(self, state, t):
 | 
						|
        return [self.goto(state, t)]
 | 
						|
 | 
						|
    def gotoST(self, state, st):
 | 
						|
        rv = []
 | 
						|
        for t in self.states[state].T:
 | 
						|
            if st == t:
 | 
						|
                rv.append(self.goto(state, t))
 | 
						|
        return rv
 | 
						|
 | 
						|
    def add(self, set, item, i=None, predecessor=None, causal=None):
 | 
						|
        if predecessor is None:
 | 
						|
            if item not in set:
 | 
						|
                set.append(item)
 | 
						|
        else:
 | 
						|
            key = (item, i)
 | 
						|
            if item not in set:
 | 
						|
                self.links[key] = []
 | 
						|
                set.append(item)
 | 
						|
            self.links[key].append((predecessor, causal))
 | 
						|
 | 
						|
    def makeSet(self, token, sets, i):
 | 
						|
        cur, next = sets[i], sets[i+1]
 | 
						|
 | 
						|
        ttype = token is not None and self.typestring(token) or None
 | 
						|
        if ttype is not None:
 | 
						|
            fn, arg = self.gotoT, ttype
 | 
						|
        else:
 | 
						|
            fn, arg = self.gotoST, token
 | 
						|
 | 
						|
        for item in cur:
 | 
						|
            ptr = (item, i)
 | 
						|
            state, parent = item
 | 
						|
            add = fn(state, arg)
 | 
						|
            for k in add:
 | 
						|
                if k is not None:
 | 
						|
                    self.add(next, (k, parent), i+1, ptr)
 | 
						|
                    nk = self.goto(k, None)
 | 
						|
                    if nk is not None:
 | 
						|
                        self.add(next, (nk, i+1))
 | 
						|
 | 
						|
            if parent == i:
 | 
						|
                continue
 | 
						|
 | 
						|
            for rule in self.states[state].complete:
 | 
						|
                lhs, rhs = rule
 | 
						|
                for pitem in sets[parent]:
 | 
						|
                    pstate, pparent = pitem
 | 
						|
                    k = self.goto(pstate, lhs)
 | 
						|
                    if k is not None:
 | 
						|
                        why = (item, i, rule)
 | 
						|
                        pptr = (pitem, parent)
 | 
						|
                        self.add(cur, (k, pparent),
 | 
						|
                                 i, pptr, why)
 | 
						|
                        nk = self.goto(k, None)
 | 
						|
                        if nk is not None:
 | 
						|
                            self.add(cur, (nk, i))
 | 
						|
 | 
						|
    def makeSet_fast(self, token, sets, i):
 | 
						|
        #
 | 
						|
        #  Call *only* when the entire state machine has been built!
 | 
						|
        #  It relies on self.edges being filled in completely, and
 | 
						|
        #  then duplicates and inlines code to boost speed at the
 | 
						|
        #  cost of extreme ugliness.
 | 
						|
        #
 | 
						|
        cur, next = sets[i], sets[i+1]
 | 
						|
        ttype = token is not None and self.typestring(token) or None
 | 
						|
 | 
						|
        for item in cur:
 | 
						|
            ptr = (item, i)
 | 
						|
            state, parent = item
 | 
						|
            if ttype is not None:
 | 
						|
                k = self.edges.get((state, ttype), None)
 | 
						|
                if k is not None:
 | 
						|
                    #self.add(next, (k, parent), i+1, ptr)
 | 
						|
                    #INLINED --v
 | 
						|
                    new = (k, parent)
 | 
						|
                    key = (new, i+1)
 | 
						|
                    if new not in next:
 | 
						|
                        self.links[key] = []
 | 
						|
                        next.append(new)
 | 
						|
                    self.links[key].append((ptr, None))
 | 
						|
                    #INLINED --^
 | 
						|
                    #nk = self.goto(k, None)
 | 
						|
                    nk = self.edges.get((k, None), None)
 | 
						|
                    if nk is not None:
 | 
						|
                        #self.add(next, (nk, i+1))
 | 
						|
                        #INLINED --v
 | 
						|
                        new = (nk, i+1)
 | 
						|
                        if new not in next:
 | 
						|
                            next.append(new)
 | 
						|
                        #INLINED --^
 | 
						|
            else:
 | 
						|
                add = self.gotoST(state, token)
 | 
						|
                for k in add:
 | 
						|
                    if k is not None:
 | 
						|
                        self.add(next, (k, parent), i+1, ptr)
 | 
						|
                        #nk = self.goto(k, None)
 | 
						|
                        nk = self.edges.get((k, None), None)
 | 
						|
                        if nk is not None:
 | 
						|
                            self.add(next, (nk, i+1))
 | 
						|
 | 
						|
            if parent == i:
 | 
						|
                continue
 | 
						|
 | 
						|
            for rule in self.states[state].complete:
 | 
						|
                lhs, rhs = rule
 | 
						|
                for pitem in sets[parent]:
 | 
						|
                    pstate, pparent = pitem
 | 
						|
                    #k = self.goto(pstate, lhs)
 | 
						|
                    k = self.edges.get((pstate, lhs), None)
 | 
						|
                    if k is not None:
 | 
						|
                        why = (item, i, rule)
 | 
						|
                        pptr = (pitem, parent)
 | 
						|
                        #self.add(cur, (k, pparent),
 | 
						|
                        #        i, pptr, why)
 | 
						|
                        #INLINED --v
 | 
						|
                        new = (k, pparent)
 | 
						|
                        key = (new, i)
 | 
						|
                        if new not in cur:
 | 
						|
                            self.links[key] = []
 | 
						|
                            cur.append(new)
 | 
						|
                        self.links[key].append((pptr, why))
 | 
						|
                        #INLINED --^
 | 
						|
                        #nk = self.goto(k, None)
 | 
						|
                        nk = self.edges.get((k, None), None)
 | 
						|
                        if nk is not None:
 | 
						|
                            #self.add(cur, (nk, i))
 | 
						|
                            #INLINED --v
 | 
						|
                            new = (nk, i)
 | 
						|
                            if new not in cur:
 | 
						|
                                cur.append(new)
 | 
						|
                            #INLINED --^
 | 
						|
 | 
						|
    def predecessor(self, key, causal):
 | 
						|
        for p, c in self.links[key]:
 | 
						|
            if c == causal:
 | 
						|
                return p
 | 
						|
        assert 0
 | 
						|
 | 
						|
    def causal(self, key):
 | 
						|
        links = self.links[key]
 | 
						|
        if len(links) == 1:
 | 
						|
            return links[0][1]
 | 
						|
        choices = []
 | 
						|
        rule2cause = {}
 | 
						|
        for p, c in links:
 | 
						|
            rule = c[2]
 | 
						|
            choices.append(rule)
 | 
						|
            rule2cause[rule] = c
 | 
						|
        return rule2cause[self.ambiguity(choices)]
 | 
						|
 | 
						|
    def deriveEpsilon(self, nt):
 | 
						|
        if len(self.newrules[nt]) > 1:
 | 
						|
            rule = self.ambiguity(self.newrules[nt])
 | 
						|
        else:
 | 
						|
            rule = self.newrules[nt][0]
 | 
						|
        #output(rule)
 | 
						|
 | 
						|
        rhs = rule[1]
 | 
						|
        attr = [None] * len(rhs)
 | 
						|
 | 
						|
        for i in range(len(rhs)-1, -1, -1):
 | 
						|
            attr[i] = self.deriveEpsilon(rhs[i])
 | 
						|
        return self.rule2func[self.new2old[rule]](attr)
 | 
						|
 | 
						|
    def buildTree(self, nt, item, tokens, k):
 | 
						|
        state, parent = item
 | 
						|
 | 
						|
        choices = []
 | 
						|
        for rule in self.states[state].complete:
 | 
						|
            if rule[0] == nt:
 | 
						|
                choices.append(rule)
 | 
						|
        rule = choices[0]
 | 
						|
        if len(choices) > 1:
 | 
						|
            rule = self.ambiguity(choices)
 | 
						|
        #output(rule)
 | 
						|
 | 
						|
        rhs = rule[1]
 | 
						|
        attr = [None] * len(rhs)
 | 
						|
 | 
						|
        for i in range(len(rhs)-1, -1, -1):
 | 
						|
            sym = rhs[i]
 | 
						|
            if sym not in self.newrules:
 | 
						|
                if sym != self._BOF:
 | 
						|
                    attr[i] = tokens[k-1]
 | 
						|
                    key = (item, k)
 | 
						|
                    item, k = self.predecessor(key, None)
 | 
						|
            #elif self.isnullable(sym):
 | 
						|
            elif self._NULLABLE == sym[0:len(self._NULLABLE)]:
 | 
						|
                attr[i] = self.deriveEpsilon(sym)
 | 
						|
            else:
 | 
						|
                key = (item, k)
 | 
						|
                why = self.causal(key)
 | 
						|
                attr[i] = self.buildTree(sym, why[0],
 | 
						|
                                         tokens, why[1])
 | 
						|
                item, k = self.predecessor(key, why)
 | 
						|
        return self.rule2func[self.new2old[rule]](attr)
 | 
						|
 | 
						|
    def ambiguity(self, rules):
 | 
						|
        #
 | 
						|
        #  XXX - problem here and in collectRules() if the same rule
 | 
						|
        #        appears in >1 method.  Also undefined results if rules
 | 
						|
        #        causing the ambiguity appear in the same method.
 | 
						|
        #
 | 
						|
        sortlist = []
 | 
						|
        name2index = {}
 | 
						|
        for i in range(len(rules)):
 | 
						|
            lhs, rhs = rule = rules[i]
 | 
						|
            name = self.rule2name[self.new2old[rule]]
 | 
						|
            sortlist.append((len(rhs), name))
 | 
						|
            name2index[name] = i
 | 
						|
        sortlist.sort()
 | 
						|
        list = [b for a, b in sortlist]
 | 
						|
        return rules[name2index[self.resolve(list)]]
 | 
						|
 | 
						|
    def resolve(self, list):
 | 
						|
        #
 | 
						|
        #  Resolve ambiguity in favor of the shortest RHS.
 | 
						|
        #  Since we walk the tree from the top down, this
 | 
						|
        #  should effectively resolve in favor of a "shift".
 | 
						|
        #
 | 
						|
        return list[0]
 | 
						|
 | 
						|
#
 | 
						|
#  GenericASTBuilder automagically constructs a concrete/abstract syntax tree
 | 
						|
#  for a given input.  The extra argument is a class (not an instance!)
 | 
						|
#  which supports the "__setslice__" and "__len__" methods.
 | 
						|
#
 | 
						|
#  XXX - silently overrides any user code in methods.
 | 
						|
#
 | 
						|
 | 
						|
class GenericASTBuilder(GenericParser):
 | 
						|
    def __init__(self, AST, start):
 | 
						|
        GenericParser.__init__(self, start)
 | 
						|
        self.AST = AST
 | 
						|
 | 
						|
    def preprocess(self, rule, func):
 | 
						|
        rebind = lambda lhs, self=self: \
 | 
						|
                        lambda args, lhs=lhs, self=self: \
 | 
						|
                                self.buildASTNode(args, lhs)
 | 
						|
        lhs, rhs = rule
 | 
						|
        return rule, rebind(lhs)
 | 
						|
 | 
						|
    def buildASTNode(self, args, lhs):
 | 
						|
        children = []
 | 
						|
        for arg in args:
 | 
						|
            if isinstance(arg, self.AST):
 | 
						|
                children.append(arg)
 | 
						|
            else:
 | 
						|
                children.append(self.terminal(arg))
 | 
						|
        return self.nonterminal(lhs, children)
 | 
						|
 | 
						|
    def terminal(self, token):      return token
 | 
						|
 | 
						|
    def nonterminal(self, type, args):
 | 
						|
        rv = self.AST(type)
 | 
						|
        rv[:len(args)] = args
 | 
						|
        return rv
 | 
						|
 | 
						|
#
 | 
						|
#  GenericASTTraversal is a Visitor pattern according to Design Patterns.  For
 | 
						|
#  each node it attempts to invoke the method n_<node type>, falling
 | 
						|
#  back onto the default() method if the n_* can't be found.  The preorder
 | 
						|
#  traversal also looks for an exit hook named n_<node type>_exit (no default
 | 
						|
#  routine is called if it's not found).  To prematurely halt traversal
 | 
						|
#  of a subtree, call the prune() method -- this only makes sense for a
 | 
						|
#  preorder traversal.  Node type is determined via the typestring() method.
 | 
						|
#
 | 
						|
 | 
						|
class GenericASTTraversalPruningException:
 | 
						|
    pass
 | 
						|
 | 
						|
class GenericASTTraversal:
 | 
						|
    def __init__(self, ast):
 | 
						|
        self.ast = ast
 | 
						|
 | 
						|
    def typestring(self, node):
 | 
						|
        return node.type
 | 
						|
 | 
						|
    def prune(self):
 | 
						|
        raise GenericASTTraversalPruningException
 | 
						|
 | 
						|
    def preorder(self, node=None):
 | 
						|
        if node is None:
 | 
						|
            node = self.ast
 | 
						|
 | 
						|
        try:
 | 
						|
            name = 'n_' + self.typestring(node)
 | 
						|
            if hasattr(self, name):
 | 
						|
                func = getattr(self, name)
 | 
						|
                func(node)
 | 
						|
            else:
 | 
						|
                self.default(node)
 | 
						|
        except GenericASTTraversalPruningException:
 | 
						|
            return
 | 
						|
 | 
						|
        for kid in node:
 | 
						|
            self.preorder(kid)
 | 
						|
 | 
						|
        name = name + '_exit'
 | 
						|
        if hasattr(self, name):
 | 
						|
            func = getattr(self, name)
 | 
						|
            func(node)
 | 
						|
 | 
						|
    def postorder(self, node=None):
 | 
						|
        if node is None:
 | 
						|
            node = self.ast
 | 
						|
 | 
						|
        for kid in node:
 | 
						|
            self.postorder(kid)
 | 
						|
 | 
						|
        name = 'n_' + self.typestring(node)
 | 
						|
        if hasattr(self, name):
 | 
						|
            func = getattr(self, name)
 | 
						|
            func(node)
 | 
						|
        else:
 | 
						|
            self.default(node)
 | 
						|
 | 
						|
 | 
						|
    def default(self, node):
 | 
						|
        pass
 | 
						|
 | 
						|
#
 | 
						|
#  GenericASTMatcher.  AST nodes must have "__getitem__" and "__cmp__"
 | 
						|
#  implemented.
 | 
						|
#
 | 
						|
#  XXX - makes assumptions about how GenericParser walks the parse tree.
 | 
						|
#
 | 
						|
 | 
						|
class GenericASTMatcher(GenericParser):
 | 
						|
    def __init__(self, start, ast):
 | 
						|
        GenericParser.__init__(self, start)
 | 
						|
        self.ast = ast
 | 
						|
 | 
						|
    def preprocess(self, rule, func):
 | 
						|
        rebind = lambda func, self=self: \
 | 
						|
                        lambda args, func=func, self=self: \
 | 
						|
                                self.foundMatch(args, func)
 | 
						|
        lhs, rhs = rule
 | 
						|
        rhslist = list(rhs)
 | 
						|
        rhslist.reverse()
 | 
						|
 | 
						|
        return (lhs, tuple(rhslist)), rebind(func)
 | 
						|
 | 
						|
    def foundMatch(self, args, func):
 | 
						|
        func(args[-1])
 | 
						|
        return args[-1]
 | 
						|
 | 
						|
    def match_r(self, node):
 | 
						|
        self.input.insert(0, node)
 | 
						|
        children = 0
 | 
						|
 | 
						|
        for child in node:
 | 
						|
            if children == 0:
 | 
						|
                self.input.insert(0, '(')
 | 
						|
            children = children + 1
 | 
						|
            self.match_r(child)
 | 
						|
 | 
						|
        if children > 0:
 | 
						|
            self.input.insert(0, ')')
 | 
						|
 | 
						|
    def match(self, ast=None):
 | 
						|
        if ast is None:
 | 
						|
            ast = self.ast
 | 
						|
        self.input = []
 | 
						|
 | 
						|
        self.match_r(ast)
 | 
						|
        self.parse(self.input)
 | 
						|
 | 
						|
    def resolve(self, list):
 | 
						|
        #
 | 
						|
        #  Resolve ambiguity in favor of the longest RHS.
 | 
						|
        #
 | 
						|
        return list[-1]
 | 
						|
 | 
						|
def _dump(tokens, sets, states):
 | 
						|
    for i in range(len(sets)):
 | 
						|
        output('set %d' % i)
 | 
						|
        for item in sets[i]:
 | 
						|
            output('\t', item)
 | 
						|
            for (lhs, rhs), pos in states[item[0]].items:
 | 
						|
                output('\t\t', lhs, '::=', end='')
 | 
						|
                output(' '.join(rhs[:pos]), end='')
 | 
						|
                output('.', end='')
 | 
						|
                output(' '.join(rhs[pos:]))
 | 
						|
        if i < len(tokens):
 | 
						|
            output()
 | 
						|
            output('token %s' % str(tokens[i]))
 | 
						|
            output()
 |