aima/nlp.py
def add_edge(self, edge):
        "Add edge to chart, and see if it extends or predicts another edge."
        start, end, lhs, found, expects = edge
        if edge not in self.chart[end]:
            self.chart[end].append(edge)
            if self.trace:
                print '%10s: added %s' % (caller(2), edge)
            if not expects:
                self.extender(edge)
            else:
                self.predictor(edge)
def add_edge(self, edge):
        "Add edge to chart, and see if it extends or predicts another edge."
        start, end, lhs, found, expects = edge
        if edge not in self.chart[end]:
            self.chart[end].append(edge)
            if self.trace:
                print '%10s: added %s' % (caller(2), edge)
            if not expects:
                self.extender(edge)
            else:
                self.predictor(edge)
def add_edge ( self , edge ) : start , end , lhs , found , expects = edge if edge not in self . chart [ end ] : self . chart [ end ] . append ( edge ) if self . trace : print '%10s: added %s' % ( caller ( 2 ) , edge ) if not expects : self . extender ( edge ) else : self . predictor ( edge )
Add edge to chart, and see if it extends or predicts another edge.
Add edge to chart and see if it extends or predicts another edge .