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# Bugs Everywhere, a distributed bugtracker
# Copyright (C) 2008-2009 W. Trevor King <wking@drexel.edu>
#
# 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()])
'acfhiebdg'
>>> 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(depth_first=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
>>> a.has_descendant(g)
True
>>> c.has_descendant(g)
False
>>> a.has_descendant(a)
False
>>> a.has_descendant(a, match_self=True)
True
"""
def __eq__(self, other):
return id(self) == id(other)
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(*args, **kwargs)
def traverse(self, depth_first=True):
"""
Note: you might want to sort() your tree first.
"""
if depth_first == 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(depth_first=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)
def has_descendant(self, descendant, depth_first=True, match_self=False):
if descendant == self:
return match_self
for d in self.traverse(depth_first):
if descendant == d:
return True
return False
suite = doctest.DocTestSuite()
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