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1 # This program is free software; you can redistribute it and/or modify 2 # it under the terms of the GNU General Public License as published by 3 # the Free Software Foundation; either version 2 of the License, or 4 # (at your option) any later version. 5 # 6 # This program is distributed in the hope that it will be useful, 7 # but WITHOUT ANY WARRANTY; without even the implied warranty of 8 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 9 # GNU Library General Public License for more details. 10 # 11 # You should have received a copy of the GNU General Public License 12 # along with this program; if not, write to the Free Software 13 # Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. 14 # 15 # See the COPYING file for license information. 16 # 17 # Copyright (c) 2006, 2007 Guillaume Chazarain <guichaz@yahoo.fr> 18 19 from pysize.core import compute_size 20 from pysize.core.pysize_fs_node import create_node 21 22 # http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/231503 23 # By David Eppstein 24 def _breadth_first(tree, children=iter): 25 """Traverse the nodes of a tree in breadth-first order. 26 The first argument should be the tree root; children 27 should be a function taking as argument a tree node and 28 returning an iterator of the node's children. 29 """ 30 yield tree 31 last = tree 32 for node in _breadth_first(tree, children): 33 for child in children(node): 34 yield child 35 last = child 36 if last is node: 37 return 38 39 class pysize_tree(object): 40 """The entry point to a tree of pysize_node. 41 min_size < 1.0 => ratio to total size.""" 42 def __init__(self, paths, max_depth, min_size, options): 43 self.fullpaths = paths 44 auto_min_size = min_size <= 1.0 45 estimated_size = compute_size.slow_sum(paths, options.cross_device) 46 if auto_min_size: 47 min_size_ratio = min_size 48 min_size = estimated_size * min_size_ratio 49 self.root = create_node(None, paths, max_depth, min_size, options) 50 if auto_min_size and estimated_size != self.root.size: 51 estimated_size = self.root.size 52 min_size = estimated_size * min_size_ratio 53 self.root = create_node(None, paths, max_depth, min_size, options) 54 self.height = self.root.compute_height() 55 56 def get_next_sibling(self, node): 57 """Return the next pysize_node in node's level.""" 58 is_next = False 59 for child in self.breadth_first(): 60 if is_next: 61 if child.compute_depth() == node.compute_depth(): 62 return child 63 return 64 is_next = child is node 65 66 def get_previous_sibling(self, node): 67 """Return the previous pysize_node in node's level.""" 68 prev = None 69 for child in self.breadth_first(): 70 if child == node: 71 if prev.compute_depth() == node.compute_depth(): 72 return prev 73 return 74 prev = child 75 76 def get_first_child(self, node): 77 """Return the first pysize_node in node's children.""" 78 if node.children: 79 return node.children[0] 80 81 def get_parent(self, node): 82 """Return the saved parent of node.""" 83 return node.parent 84 85 def breadth_first(self): 86 """Iterate over the nodes in breadth first order.""" 87 return _breadth_first(self.root, lambda c: c.children)