示例#1
0
def test_add_three_members():
    tree = BinarySearchTree()
    tree.add(10)
    tree.add(5)
    tree.add(15)
    assert tree._root.value == 10
    assert tree._root.left.value == 5
    assert tree._root.right.value == 15
示例#2
0
#             self.nums.append(root.val)
#             pre(root.left)
#             pre(root.right)
#         pre(root)
#         return self.nums


# 迭代
class Solution:
    def preorder(self, root):
        tree = [root]
        nums = []
        while tree:
            n = tree.pop()
            nums.append(n.val)
            if n.right:
                tree.append(n.right)
            if n.left:
                tree.append(n.left)
        return nums


tree = Tree()
tree.add(1)
tree.add(None)
tree.add(2)
tree.add(None)
tree.add(None)
tree.add(3)
cs = Solution()
print(cs.preorder(tree.root))
示例#3
0
def test_check_one_node_tree():
    tree = BinarySearchTree()
    tree.add(20)
    assert tree.contains(20) == True
    assert tree.contains(21) == False
示例#4
0
def test_add_one_node():
    tree = BinarySearchTree()
    tree.add(20)
    assert tree._root.value == 20
    assert tree._root.left == None
    assert tree._root.right == None
示例#5
0
def my_bst():
    tree = BinarySearchTree()
    tree.add(15)
    tree.add(11)
    tree.add(13)
    tree.add(7)
    tree.add(8)
    tree.add(5)
    tree.add(19)
    tree.add(17)
    tree.add(23)
    return tree
示例#6
0
def test_add_more_members_for_balanced():
    tree = BinarySearchTree()
    tree.add(15)
    tree.add(11)
    tree.add(13)
    tree.add(7)
    tree.add(25)
    tree.add(60)
    tree.add(23)
    assert tree._root.value == 15
    assert tree._root.left.value == 11
    assert tree._root.right.value == 25
    assert tree._root.left.left.value == 7
    assert tree._root.left.right.value == 13
    assert tree._root.right.right.value == 60
    assert tree._root.right.left.value == 23
示例#7
0
def test_tree_one_member():
    tree = BinarySearchTree()
    tree.add('apples')
    assert tree._root.value == 'apples'
示例#8
0
 def set_tree(self, array, model):
     tree = Tree()
     for i in range(len(array)):
         tree.add(array[i])
     self.output_tree(tree, model)