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Une implémentation générale des arbres?

Je veux construire un arbre général dont le noeud racine contient 'n' enfants, et ces enfants peuvent contenir d'autres enfants .....

pythonpython-3.x
39
vishnu

Un arbre en Python est assez simple. Faites une classe qui a des données et une liste d'enfants. Chaque enfant est une instance de la même classe. Ceci est un arbre général nary.

class Node(object):
    def __init__(self, data):
        self.data = data
        self.children = []

    def add_child(self, obj):
        self.children.append(obj)

Puis interagissez:

>>> n = Node(5)
>>> p = Node(6)
>>> q = Node(7)
>>> n.add_child(p)
>>> n.add_child(q)
>>> n.children
[<__main__.Node object at 0x02877FF0>, <__main__.Node object at 0x02877F90>]
>>> for c in n.children:
...   print c.data
... 
6
7
>>>

Ceci est un squelette très basique, pas abstrait ou quoi que ce soit. Le code réel dépendra de vos besoins spécifiques. J'essaie simplement de montrer que c'est très simple en Python.

135
Eli Bendersky

J'ai publié une implémentation d'arbre Python [3] sur mon site: http://www.quesucede.com/page/show/id/python_3_tree_implementation .

J'espère que c'est utile,

Ok, voici le code:

import uuid

def sanitize_id(id):
    return id.strip().replace(" ", "")

(_ADD, _DELETE, _INSERT) = range(3)
(_ROOT, _DEPTH, _WIDTH) = range(3)

class Node:

    def __init__(self, name, identifier=None, expanded=True):
        self.__identifier = (str(uuid.uuid1()) if identifier is None else
                sanitize_id(str(identifier)))
        self.name = name
        self.expanded = expanded
        self.__bpointer = None
        self.__fpointer = []

    @property
    def identifier(self):
        return self.__identifier

    @property
    def bpointer(self):
        return self.__bpointer

    @bpointer.setter
    def bpointer(self, value):
        if value is not None:
            self.__bpointer = sanitize_id(value)

    @property
    def fpointer(self):
        return self.__fpointer

    def update_fpointer(self, identifier, mode=_ADD):
        if mode is _ADD:
            self.__fpointer.append(sanitize_id(identifier))
        Elif mode is _DELETE:
            self.__fpointer.remove(sanitize_id(identifier))
        Elif mode is _INSERT:
            self.__fpointer = [sanitize_id(identifier)]

class Tree:

    def __init__(self):
        self.nodes = []

    def get_index(self, position):
        for index, node in enumerate(self.nodes):
            if node.identifier == position:
                break
        return index

    def create_node(self, name, identifier=None, parent=None):

        node = Node(name, identifier)
        self.nodes.append(node)
        self.__update_fpointer(parent, node.identifier, _ADD)
        node.bpointer = parent
        return node

    def show(self, position, level=_ROOT):
        queue = self[position].fpointer
        if level == _ROOT:
            print("{0} [{1}]".format(self[position].name, self[position].identifier))
        else:
            print("\t"*level, "{0} [{1}]".format(self[position].name, self[position].identifier))
        if self[position].expanded:
            level += 1
            for element in queue:
                self.show(element, level)  # recursive call

    def expand_tree(self, position, mode=_DEPTH):
        # Python generator. Loosly based on an algorithm from 'Essential LISP' by
        # John R. Anderson, Albert T. Corbett, and Brian J. Reiser, page 239-241
        yield position
        queue = self[position].fpointer
        while queue:
            yield queue[0]
            expansion = self[queue[0]].fpointer
            if mode is _DEPTH:
                queue = expansion + queue[1:]  # depth-first
            Elif mode is _WIDTH:
                queue = queue[1:] + expansion  # width-first

    def is_branch(self, position):
        return self[position].fpointer

    def __update_fpointer(self, position, identifier, mode):
        if position is None:
            return
        else:
            self[position].update_fpointer(identifier, mode)

    def __update_bpointer(self, position, identifier):
        self[position].bpointer = identifier

    def __getitem__(self, key):
        return self.nodes[self.get_index(key)]

    def __setitem__(self, key, item):
        self.nodes[self.get_index(key)] = item

    def __len__(self):
        return len(self.nodes)

    def __contains__(self, identifier):
        return [node.identifier for node in self.nodes if node.identifier is identifier]

if __== "__main__":

    tree = Tree()
    tree.create_node("Harry", "harry")  # root node
    tree.create_node("Jane", "jane", parent = "harry")
    tree.create_node("Bill", "bill", parent = "harry")
    tree.create_node("Joe", "joe", parent = "jane")
    tree.create_node("Diane", "diane", parent = "jane")
    tree.create_node("George", "george", parent = "diane")
    tree.create_node("Mary", "mary", parent = "diane")
    tree.create_node("Jill", "jill", parent = "george")
    tree.create_node("Carol", "carol", parent = "jill")
    tree.create_node("Grace", "grace", parent = "bill")
    tree.create_node("Mark", "mark", parent = "jane")

    print("="*80)
    tree.show("harry")
    print("="*80)
    for node in tree.expand_tree("harry", mode=_WIDTH):
        print(node)
    print("="*80)
14
Brett Kromkamp

n'importe quel arbre

Je recommande https://pypi.python.org/pypi/anytree

Exemple

from anytree import Node, RenderTree

udo = Node("Udo")
marc = Node("Marc", parent=udo)
lian = Node("Lian", parent=marc)
dan = Node("Dan", parent=udo)
jet = Node("Jet", parent=dan)
jan = Node("Jan", parent=dan)
joe = Node("Joe", parent=dan)

print(udo)
Node('/Udo')
print(joe)
Node('/Udo/Dan/Joe')

for pre, fill, node in RenderTree(udo):
    print("%s%s" % (pre, node.name))
Udo
├── Marc
│   └── Lian
└── Dan
    ├── Jet
    ├── Jan
    └── Joe

print(dan.children)
(Node('/Udo/Dan/Jet'), Node('/Udo/Dan/Jan'), Node('/Udo/Dan/Joe'))

Caractéristiques

anytree dispose également d'une API puissante avec:

  • création d'arbres simple
  • modification d'arbre simple
  • itération de l'arbre en pré-commande
  • itération de l'arbre post-commande
  • résoudre les chemins de noeud relatifs et absolus 
  • marcher d'un noeud à un autre.
  • rendu d'arbre (voir exemple ci-dessus)
  • nœud attacher/détacher des raccordements
7
c0fec0de
node = { 'parent':0, 'left':0, 'right':0 }
import copy
root = copy.deepcopy(node)
root['parent'] = -1
left = copy

juste pour montrer une autre pensée sur la mise en œuvre si vous vous en tenez à la "POO"

class Node:
    def __init__(self,data):
        self.data = data
        self.child = {}
    def append(self, title, child):
        self.child[title] = child

CEO = Node( ('ceo', 1000) )
CTO = ('cto',100)
CFO = ('cfo', 10)
CEO.append('left child', CTO)
CEO.append('right child', CFO)

print CEO.data
print ' ', CEO.child['left child']
print ' ', CEO.child['right child']
0
uronce