def _build_tree(arr):
     if not arr:
         return None
     mid = (0 + len(arr)) // 2
     root = BinaryTreeNode(arr[mid])
     root.left = _build_tree(arr[0:mid - 1])
     root.right = _build_tree(arr[mid + 1:len(arr)])
     return root
 def _build_tree(s, e):
     if e < s:
         return None
     nonlocal l_node
     mid = s + (e - s) // 2
     left = _build_tree(s, mid - 1)
     root = BinaryTreeNode(l_node.val)
     root.left = left
     l_node = l_node.next
     root.right = _build_tree(mid + 1, e)
     return root
Beispiel #3
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def insert_bst(root: BinaryTreeNode, ins_node: BinaryTreeNode):
    if not root:
        return ins_node
    if ins_node.val == root.val:
        ori_left = root.left
        root.left = ins_node
        ins_node.left = ori_left
        return root
    elif ins_node.val > root.val:
        insert_bst(root.right, ins_node)
    else:
        insert_bst(root.left, ins_node)
Beispiel #4
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    def _gen_trees(s, e):
        ret = []
        if s > e:
            ret.append(None)
        for idx in range(s, e + 1):
            left_trees = _gen_trees(s, idx - 1)
            right_trees = _gen_trees(idx + 1, e)

            for l, r in product(left_trees, right_trees):
                root = BinaryTreeNode(idx)
                root.left = l
                root.right = r
                ret.append(root)
        return ret
Beispiel #5
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def left_rotate(node: BinaryTreeNode):
    right = node.right
    if right:
        node.right = right.left
        right.left = node
        return right
    return node
Beispiel #6
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def right_rotate(node: BinaryTreeNode):
    left = node.left
    if left:
        node.left = left.right
        left.right = node
        return left
    return node
Beispiel #7
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def generate_all_binary_trees(num_nodes):
    if num_nodes == 0:  # Empty tree, add as a None.
        return [None]

    result = []
    for num_left_tree_nodes in range(num_nodes):
        num_right_tree_nodes = num_nodes - 1 - num_left_tree_nodes
        left_subtrees = generate_all_binary_trees(num_left_tree_nodes)
        right_subtrees = generate_all_binary_trees(num_right_tree_nodes)
        # Generates all combinations of left_subtrees and right_subtrees.
        result += [
            BinaryTreeNode(0, left, right) for left in left_subtrees
            for right in right_subtrees
        ]
    return result
            else:
                if heap[i] > heap[2 * i + 1]:
                    top = heap[i]
                    heap[i] = heap[2 * i + 1]
                    heap[2 * i + 1] = top
                    i = 2 * i + 1
                else:
                    not_heap = False
        else:
            not_heap = False

    print(heap)        
    return root

if __name__ == '__main__':
    a = BinaryTreeNode(1)
    b = BinaryTreeNode(2)
    c = BinaryTreeNode(3)
    d = BinaryTreeNode(4)
    e = BinaryTreeNode(5)
    f = BinaryTreeNode(6)
    g = BinaryTreeNode(7)
    h = BinaryTreeNode(8)
    i = BinaryTreeNode(9)
    d.left = b
    d.right = f
    d.left.left = a
    d.left.right = c
    d.right.left = e
    d.right.right = g
    d.right.right.right = h