如何使用递归生成器遍历二叉树?

时间:2013-02-11 15:55:12

标签: python recursion iterator generator

我正在尝试遍历在以下代码中创建的二叉树。确切地说,二叉树是一个类,应该包含一个调用另一个函数的迭代器,即inorder()。这个方法应该是一个递归生成器并在每次迭代中产生节点的值。我试图创建一个跟随节点的字典但是当我尝试调用inorder()方法时,它不起作用。有什么遗漏点我不知道吗?我使用while而它创建了树的左侧字典(这是一种笨拙的方式)。 请帮我完成这段代码。

d=[]

# A binary tree class.
class Tree(object):
    def __init__(self, label, left=None, right=None):
        self.label = label
        self.left = left
        self.right = right
        self.d=dict()
    def __repr__(self, level=0, indent="    "):
        s = level * indent + self.label
        if self.left:
            s = s + "\n" + self.left.__repr__(level + 1, indent)
        if self.right:
            s = s + "\n" + self.right.__repr__(level + 1, indent)
        return s

def traverse(self):
    if self.left:
        lastLabel=self.label
        self.left.traverse()
    if self.right:
        lastLabel=self.label
        d.append(lastLabel)
        self.right.traverse()
    else:
        d.append(self.label)
    return d

def __iter__(self):
    return inorder(self)

# Create a Tree from a list.
def tree(sequence):
    n = len(sequence)
    if n == 0:
        return []
    i = n / 2
    return Tree(sequence[i], tree(sequence[:i]), tree(sequence[i+1:]))

# A recursive generator that generates Tree labels in in-order.
def inorder(t):
    for i in range(len(d)):
        yield d[i]    

def test(sequence):
# Create a tree.
    t = tree(sequence)
# Print the nodes of the tree in in-order.
    result = []
    for x in t:
        result.append(x)
    print x
    print

    result_str = ''.join(result)

# Check result
    assert result_str == sequence
    del d[:]
def main():
    # Third test
    test("0123456789")

    print 'Success! All tests passed!'

if __name__ == '__main__':
    main()

我再次更改了我的代码 我完成了代码,但我确信它不是遍历二叉树的最佳方法。 我在我的类中定义了一个方法-traverse() - 现在返回一个顺序的节点列表(最初没有订购,所以我使用了sort()方法。)然后我做了一个在我的生成器inorder()函数中循环遍历此列表,以生成它的元素。 我们非常欢迎您的所有评论来优化代码。 请根据此代码中的特定Tree类推荐合适的解决方案。

2 个答案:

答案 0 :(得分:6)

也许我错过了一些东西,但我不确定为什么字典与inorder()相关。想一想有序遍历的概况:

def inorder(t):
    # Process left sub tree
    # Process t
    # Process right sub tree

所以就发电机而言,这看起来像是:

def inorder(t):
    if t.left:
        for elem in inorder(t.left):
            yield elem
    yield t
    if t.right:
        for elem in inorder(t.right):
            yield elem

答案 1 :(得分:1)

我对你的想法感到很困惑。首先,这段代码中实际上没有任何字典,我不明白为什么你引入了d全局字典。

对于二叉树的有序遍历,您需要做的就是遍历左侧,当前标签和右侧:

def inorder(tree):
    for label in tree.left:
        yield label
    yield tree.label
    for label in tree.right:
        yield label

就是这样。

但是我会对您的代码进行一些改进:

# Document classes and functions with docstrings instead of comments
class Tree(object):
    """A binary tree class"""
    def __init__(self, label, left=None, right=None):
        """Label is the node value, left and right are Tree objects or None"""
        self.label = label
        self.left = left   # Tree() or None
        self.right = right # Tree() or None

    def __repr__(self):
        return 'Tree(%r, %r, %r)' % (self.label, self.left, self.right)

    def __iter__(self):
        # No need for a separate inorder() function
        if self.left is not None:
            for t in self.left:
                yield t
        yield self.label
        if self.right is not None:
            for t in self.right:
                yield t

def tree(indexable):
    """Return a tree of anything sliceable"""
    ilen = len(indexable)
    if not ilen:
        # You should be clearer about empty values
        # left and right should be Tree (something with left, right, and __iter__)
        # or None if there is no edge.
        return None 
    center = ilen // 2 # floor division
    return Tree(indexable[center], tree(indexable[:center]), tree(indexable[center+1:]))


def test():
    seq = range(10)
    t = tree(seq)
    # list(t) will consume an iterable
    # no need for "result = []; for x in t: result.append(x)"
    assert seq == list(t)


if __name__ == '__main__':
    test()