new_contents: #!/usr/bin/env python
  # Copyright (c) 2015, Ecole Polytechnique Federale de Lausanne, Blue Brain Project
  # All rights reserved.
  #
  # This file is part of NeuroM <https://github.com/BlueBrain/NeuroM>
  #
  # Redistribution and use in source and binary forms, with or without
  # modification, are permitted provided that the following conditions are met:
  #
  #     1. Redistributions of source code must retain the above copyright
  #        notice, this list of conditions and the following disclaimer.
  #     2. Redistributions in binary form must reproduce the above copyright
  #        notice, this list of conditions and the following disclaimer in the
  #        documentation and/or other materials provided with the distribution.
  #     3. Neither the name of the copyright holder nor the names of
  #        its contributors may be used to endorse or promote products
  #        derived from this software without specific prior written permission.
  #
  # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
  # ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
  # WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
  # DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
  # DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
  # (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
  # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
  # ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
  # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
  # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
  
  ''' Copy
  '''
  
  from neurom.core.tree import ipreorder, Tree
  from itertools import izip
  
  
  def make_copy(tree):
  
      copy_head = Tree(tree.value)
  
      orig_children = [tree, ]
      copy_children = [copy_head, ]
  
      while orig_children:
  
          orig_current_node = orig_children.pop()
          copy_current_node = copy_children.pop()
  
          for c in orig_current_node.children:
  
              copy_child = Tree(c.value)
  
              copy_current_node.add_child(copy_child)
  
              orig_children.append(c)
              copy_children.append(copy_child)
  
      return copy_head
  
  
  
  
  
  
  
  
subject: copy function example for tree