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# Bugs Everywhere, a distributed bugtracker
# Copyright (C) 2008 W. Trevor King
#
#  This program is free software; you can redistribute it and/or modify
#  it under the terms of the GNU General Public License as published by
#  the Free Software Foundation; either version 2 of the License, or
#  (at your option) any later version.
#
#  This program is distributed in the hope that it will be useful,
#  but WITHOUT ANY WARRANTY; without even the implied warranty of
#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
#  GNU General Public License for more details.
#
#  You should have received a copy of the GNU General Public License
#  along with this program; if not, write to the Free Software
#  Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
#  02110-1301, USA

import doctest

class Tree(list):
    """
    Construct
               +-b---d-g
             a-+   +-e
               +-c-+-f-h-i
    with
    >>> i = Tree();       i.n = "i"
    >>> h = Tree([i]);    h.n = "h"
    >>> f = Tree([h]);    f.n = "f"
    >>> e = Tree();       e.n = "e"
    >>> c = Tree([f,e]);  c.n = "c"
    >>> g = Tree();       g.n = "g"
    >>> d = Tree([g]);    d.n = "d"
    >>> b = Tree([d]);    b.n = "b"
    >>> a = Tree();       a.n = "a"
    >>> a.append(c)
    >>> a.append(b)
    
    >>> a.branch_len()
    5
    >>> a.sort(key=lambda node : node.branch_len())
    >>> "".join([node.n for node in a.traverse()])
    'abdgcefhi'
    >>> "".join([node.n for node in a.traverse(depthFirst=False)])
    'abcdefghi'
    >>> for depth,node in a.thread():
    ...     print "%*s" % (2*depth+1, node.n)
    a
      b
        d
          g
      c
        e
        f
          h
            i
    >>> for depth,node in a.thread(flatten=True):
    ...     print "%*s" % (2*depth+1, node.n)
    a
      b
      d
      g
    c
      e
    f
    h
    i
    """
    def branch_len(self):
        """
        Exhaustive search every time == SLOW.

        Use only on small trees, or reimplement by overriding
        child-addition methods to allow accurate caching.

        For the tree
               +-b---d-g
             a-+   +-e
               +-c-+-f-h-i
        this method returns 5.
        """
        if len(self) == 0:
            return 1
        else:
            return 1 + max([child.branch_len() for child in self])

    def sort(self, *args, **kwargs):
        """
        This method can be slow, e.g. on a branch_len() sort, since a
        node at depth N from the root has it's branch_len() method
        called N times.
        """
        list.sort(self, *args, **kwargs)
        for child in self:
            child.sort()

    def traverse(self, depthFirst=True):
        """
        Note: you might want to sort() your tree first.
        """
        if depthFirst == True:
            yield self
            for child in self:
                for descendant in child.traverse():
                    yield descendant
        else: # breadth first, Wikipedia algorithm
            # http://en.wikipedia.org/wiki/Breadth-first_search
            queue = [self]
            while len(queue) > 0:
                node = queue.pop(0)
                yield node
                queue.extend(node)

    def thread(self, flatten=False):
        """
        When flatten==False, the depth of any node is one greater than
        the depth of its parent.  That way the inheritance is
        explicit, but you can end up with highly indented threads.
        
        When flatten==True, the depth of any node is only greater than
        the depth of its parent when there is a branch, and the node
        is not the last child.  This can lead to ancestry ambiguity,
        but keeps the total indentation down.  E.g.
                      +-b                  +-b-c
                    a-+-c        and     a-+
                      +-d-e-f              +-d-e-f
        would both produce (after sorting by branch_len())
        (0, a)
        (1, b)
        (1, c)
        (0, d)
        (0, e)
        (0, f)
        """
        stack = [] # ancestry of the current node
        if flatten == True:
            depthDict = {}
        
        for node in self.traverse(depthFirst=True):
            while len(stack) > 0 \
                    and id(node) not in [id(c) for c in stack[-1]]:
                stack.pop(-1)
            if flatten == False:
                depth = len(stack)
            else:
                if len(stack) == 0:
                    depth = 0
                else:
                    parent = stack[-1]
                    depth = depthDict[id(parent)]
                    if len(parent) > 1 and node != parent[-1]:
                        depth += 1
                depthDict[id(node)] = depth
            yield (depth,node)
            stack.append(node)

suite = doctest.DocTestSuite()