Grammalecte  Diff

Differences From Artifact [0043f035e5]:

To Artifact [bace844224]:


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    def countNodes (self):
        "count the number of nodes of the whole word graph"
        self.nNode = len(self.lMinimizedNodes)

    def countArcs (self):
        "count the number of arcs in the whole word graph"
        self.nArc = 0
        for oNode in self.lMinimizedNodes:
            self.nArc += len(oNode.arcs)

    def sortNodeArcs (self, dValOccur):
        "sort arcs of each node according to <dValOccur>"
        print(" > Sort node arcs")
        self.oRoot.sortArcs(dValOccur)







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    def countNodes (self):
        "count the number of nodes of the whole word graph"
        self.nNode = len(self.lMinimizedNodes)

    def countArcs (self):
        "count the number of arcs in the whole word graph"
        self.nArc = len(self.oRoot.arcs)
        for oNode in self.lMinimizedNodes:
            self.nArc += len(oNode.arcs)

    def sortNodeArcs (self, dValOccur):
        "sort arcs of each node according to <dValOccur>"
        print(" > Sort node arcs")
        self.oRoot.sortArcs(dValOccur)
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    def setPos (self): # version 2
        "define a position for node (version 2)"
        self.pos = DawgNode.NextPos
        DawgNode.NextPos += 1

    def __str__ (self):








        # Caution! this function is used for hashing and comparison!
        sFinalChar = "1"  if self.final  else "0"
        l = [sFinalChar]
        for (key, node) in self.arcs.items():
            l.append(str(key))
            l.append(str(node.i))
        return "_".join(l)

    def __hash__ (self):
        # Used as a key in a python dictionary.
        return self.__str__().__hash__()

    def __eq__ (self, other):
        # Used as a key in a python dictionary.
        # Nodes are equivalent if they have identical arcs, and each identical arc leads to identical states.
        return self.__str__() == other.__str__()

    def sortArcs (self, dValOccur):
        "sort arcs of node according to <dValOccur>"
        self.arcs = collections.OrderedDict(sorted(self.arcs.items(), key=lambda t: dValOccur.get(t[0], 0), reverse=True))

    def sortArcs2 (self, dValOccur, lArcVal):
        "sort arcs of each node depending on the previous char"







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    def setPos (self): # version 2
        "define a position for node (version 2)"
        self.pos = DawgNode.NextPos
        DawgNode.NextPos += 1

    def __str__ (self):
        s = "Node " + str(self.i) + " @ " + str(self.addr) + (" [final]" if self.final else "") + "\n"
        for arc, node in self.arcs.items():
            s += "  " +str(arc)
            s += " > " + str(node.i)
            s += " @ " + str(node.addr) + "\n"
        return s

    def __repr__ (self):
        # Caution! this function is used for hashing and comparison!
        sFinalChar = "1"  if self.final  else "0"
        l = [sFinalChar]
        for arc, node in self.arcs.items():
            l.append(str(arc))
            l.append(str(node.i))
        return "_".join(l)

    def __hash__ (self):
        # Used as a key in a python dictionary.
        return self.__repr__().__hash__()

    def __eq__ (self, other):
        # Used as a key in a python dictionary.
        # Nodes are equivalent if they have identical arcs, and each identical arc leads to identical states.
        return self.__repr__() == other.__repr__()

    def sortArcs (self, dValOccur):
        "sort arcs of node according to <dValOccur>"
        self.arcs = collections.OrderedDict(sorted(self.arcs.items(), key=lambda t: dValOccur.get(t[0], 0), reverse=True))

    def sortArcs2 (self, dValOccur, lArcVal):
        "sort arcs of each node depending on the previous char"