def main():
tree = BST()
N = 11
_set = set([random.randint(1, N * N) for _ in range(N)])
for x in _set:
tree.insert(x, "")
print "original tree"
tree.pretty_print()
inorder = [node.key for node in tree.inorder_nodes()]
preorder = [node.key for node in tree.preorder_nodes()]
# now build a new tree from these traversals
root = binary_tree_from_traversals(preorder, inorder)
new_tree = BST()
new_tree.root = root
print "reconstructed tree"
new_tree.pretty_print()
# verify the correctness
for orig_node, cloned_node in zip(tree.levelorder_nodes(),
new_tree.levelorder_nodes()):
assert orig_node is not cloned_node
assert orig_node.key == cloned_node.key
def main():
complete_binary_tree = BST()
one = Node(1)
two = Node(2)
three = Node(3)
four = Node(4)
five = Node(5)
six = Node(6)
seven = Node(7)
one.left = two
one.right = three
two.left = four
two.right = five
three.left = six
three.right = seven
complete_binary_tree.root = one
add_sibling_pointers(complete_binary_tree.root)
nodes = list(complete_binary_tree.levelorder_nodes())
# verify the next pointers
assert one.next is None
assert two.next is three
assert three.next is None
assert four.next is five
assert five.next is six
assert six.next is seven
assert seven.next is None
def main():
one = Node(1, "")
two = Node(2, "")
three = Node(3, "")
four = Node(4, "")
five = Node(5, "")
six = Node(6, "")
seven = Node(7, "")
eight = Node(8, "")
nine = Node(9, "")
one.left = two
one.right = three
two.left = four
two.right = five
four.left = six
four.right = seven
tree = Tree()
tree.root = one
tree.levelorder()
inverted = upside_down(tree)
inverted.levelorder()
def upside_down(tree):
d = {}
traverse_left(tree.root, None, d)
inverted = Tree()
inverted.root = d['root']
return inverted
def main():
N = 22
arr = sorted([random.randint(1, N * N) for _ in range(N)])
print arr
root = balanced_bst_from_sorted_array(arr, 0, len(arr) - 1)
tree = BST()
tree.root = root
tree.pretty_print()
inorder = [node.key for node in tree.inorder_nodes()]
assert arr == inorder
def merge(t1, t2):
inorder_t1 = []
inorder_t2 = []
inorder(t1.root, inorder_t1)
inorder(t2.root, inorder_t2)
merged_arr = sorted(inorder_t1 + inorder_t2)
print_nodes(merged_arr)
root = balanced_bst_from_sorted_array(merged_arr, 0, len(merged_arr) - 1)
tree = BST()
tree.root = root
return tree
def main():
tree = BST()
N = 10
_set = set([random.randint(1, N * N) for _ in range(N)])
for x in _set:
tree.insert(x, "")
new_root = clone(tree.root)
new_tree = BST()
new_tree.root = new_root
for orig_node, cloned_node in zip(tree.levelorder_nodes(),
new_tree.levelorder_nodes()):
assert orig_node is not cloned_node
assert orig_node.key == cloned_node.key
assert orig_node.data == cloned_node.data