def insert_prim(tnode, value):
"""
Insert a new value into the binary tree.
Preconditions:
:param tnode: a binary search tree, created by create()
:param value: a value
Postconditions:
If the value is not already in the tree, it is added to the tree
Return
:return: flag, tree
Flag is True is insertion succeeded; tree is the tree with value in it
Flag is False if the value is already in the tree, tree is returned unchanged
"""
if tnode is None:
return True, tn.create(value)
else:
cval = tn.get_data(tnode)
if cval == value:
return False, tnode
elif value < cval:
flag, subtree = insert_prim(tn.get_left(tnode), value)
if flag:
tn.set_left(tnode, subtree)
return flag, tnode
else:
flag, subtree = insert_prim(tn.get_right(tnode), value)
if flag:
tn.set_right(tnode, subtree)
return flag, tnode
def build_lecture_example():
"""
Purpose:
returns the example found in the lecture slides
"""
atree = tn.create(2)
a = tn.create(7)
b = tn.create(5)
tn.set_left(atree, a)
tn.set_right(atree, b)
c = tn.create(11)
d = tn.create(6)
tn.set_left(a, c)
tn.set_right(a, d)
return atree
def copy(tnode):
"""
Purpose: create a new object that is the same as tnode
Preconditions:
:param tnode: a tree
Postconditions: a new object created, tnode not changed
:return: reference to the newly created tree
"""
if tnode == None:
return None
if tf.is_leaf(tnode) is True: #base: if leaf, create tree with data
return tn.create(tn.get_data(tnode))
new_tree = tn.create(tn.get_data(tnode)) #recursive: set left and right to copy() child
tn.set_left(new_tree, copy(tn.get_left(tnode)))
tn.set_right(new_tree, copy(tn.get_right(tnode)))
return new_tree
def reflect(tnode):
"""
Purpose: swap every left and right sub tree in a tree
preconditions:
:param tnode: a tree
postconditions: left and right in tree and sub tree swapped
:return: nothing
"""
if tnode is None or tf.is_leaf(tnode) is True: #base: do nothing if end
return
left = tn.get_left(tnode)
right = tn.get_right(tnode)
tn.set_left(tnode, right) #swap left and right.
tn.set_right(tnode, left)
reflect(tn.get_left(tnode))
reflect(tn.get_right(tnode))
def delete_bst(tnode):
if tnode is None:
return False, tnode
else:
cval = tn.get_data(tnode)
if cval == value:
return reconnect(tnode)
elif value < cval:
flag, subtree = delete_bst(tn.get_left(tnode))
if flag:
tn.set_left(tnode, subtree)
return flag, tnode
else:
flag, subtree = delete_bst(tn.get_right(tnode))
if flag:
tn.set_right(tnode, subtree)
return flag, tnode
def reflection(tnode):
"""
Purpose: create a new tree that is the mirror of the original
precoditions:
:param tnode: a tree
Postconditions: a new object is created
:return: the new tree that is the mirror of the original
"""
if tnode == None:
return
if tf.is_leaf(tnode) is True:
return tn.create(tn.get_data(tnode))
mirrored = tn.create(tn.get_data(
tnode)) # recursive: set left and right to right and left of tnode
tn.set_left(mirrored, reflection(tn.get_right(tnode)))
tn.set_right(mirrored, reflection(tn.get_left(tnode)))
return mirrored
def copy(tnode):
"""
Purpose: To create an exact copy of the given tree, with completely new
treenodes, but exactly the same data values, in exactly the same places
Pre-conditions:
:param tnode: a treenode
Post-conditions:
None
return:
A copy of tnode
"""
if tnode is None:
return None
else:
cur_val = tn.get_data(tnode)
new_tnode = tn.create(cur_val)
tn.set_left(new_tnode, copy(tn.get_left(tnode)))
tn.set_right(new_tnode, copy(tn.get_right(tnode)))
return new_tnode
def reflect(tnode):
"""
Purpose: Copy the inputted tree and reflect it
Preconditions:
:param tnode: A tree node to be reflected and copied
Post-conditions: reflects the inputted tree fulfilling the reflection property
:return: None
"""
if tnode is None: # Special case if tree is None
return None
else:
right = tn.get_right(tnode) # simplify right and left
left = tn.get_left(tnode)
reflect(left) # Iterate through the tree
reflect(right)
tn.set_left(
tnode,
right) # Set each tree on the on right to tree on the left ect.
tn.set_right(tnode, left)
# CMPT 145: Binary trees
# Defines a few example trees
import treenode as tn
atree = tn.create(2)
a = tn.create(7)
b = tn.create(5)
tn.set_left(atree, a)
tn.set_right(atree, b)
c = tn.create(11)
d = tn.create(6)
tn.set_left(a, c)
tn.set_right(a, d)
# an empty tree with a bad pun: it's empty
mtree = None
# a tree with one node only. Yes, a bad pun too.
ctree = tn.create('si')
# a larger more e-xtree-me tree
xtree = tn.create(
5,
tn.create(1, None,
tn.create(4, tn.create(3, tn.create(2, None, None), None),
None)),
tn.create(9,
tn.create(8, tn.create(7, tn.create(6, None, None), None), None),
tn.create(1, tn.create(3, None, None), tn.create(3, None,
None))))
current = MyQueue.dequeue(explore)
print(tn.get_data(current), end=" ")
left = tn.get_left(current)
if left is not None:
MyQueue.enqueue(explore, left)
right = tn.get_right(current)
if right is not None:
MyQueue.enqueue(explore, right)
if __name__ == '__main__':
# Create the tree we've been using in class
root = tn.create(2)
a = tn.create(7)
b = tn.create(5)
tn.set_left(root, a)
tn.set_right(root, b)
c = tn.create(11)
d = tn.create(6)
tn.set_left(a, c)
tn.set_right(a, d)
print("Pre-order traversal:", end=" ")
pre_order(root)
print()
print("In-order traversal:", end=" ")
in_order(root)
print()
print("Post-order traversal:", end=" ")
post_order(root)
print()
Return: None """ if tnode is not None and tn.get_data(tnode) == t: tn.set_data(tnode, r) elif tnode is None: pass else: subst(tn.get_right(tnode), t, r) subst(tn.get_left(tnode), t, r) root = tn.create(7) a = tn.create(5) b = tn.create(5) c = tn.create(5) tn.set_left(root, a) tn.set_right(root, b) tn.set_right(b, c) print(root) def count_target(tnode, target): """ Purpose: Counts the number of times the given target appears in the given tree Pre-condition: tnode: the given tree node target: the target value Post condition: None Return: the number of times the given target value appears in the given tree """
- very long data values might cause the presentation to get messy
- subtrees appear below a parent
- left subtree immediately
- right subtree after the entire left subtree
Pre-conditions:
:param tnode: a Binary tree (treenode or None)
:param level: the level of the tnode (default value 0)
Return:
A string with the hierarchy of the tree.
"""
if tnode is None:
return 'EMPTY'
else:
result = '\t' * level
result += str(TN.get_data(tnode))
if TN.get_left(tnode) is not None:
result += '\n' + to_string(TN.get_left(tnode), level + 1)
if TN.get_right(tnode) is not None:
result += '\n' + to_string(TN.get_right(tnode), level + 1)
return result
root = TN.create(7)
a = TN.create(4)
b = TN.create(5)
c = TN.create(9)
TN.set_left(root, a)
TN.set_right(root, b)
TN.set_right(b, c)
print(root)
print(to_string(root))
