реализовано двоичное дерево с помощью функций вставки/обновления, возвращения корня, итеративного поиска, поиска узла с минимальным ключем, рекурсивного удаления, центрированного обхода
This commit is contained in:
novikovsd 2026-05-24 13:24:43 +00:00
parent 132e7e049b
commit 9d935dc1f9

View File

@ -86,3 +86,74 @@ def ht_list_all(buckets):
curr = curr['next']
entries.sort(key=lambda x: x[0])
return entries
def bst_insert(root, name, phone):
new_node = {'name': name, 'phone': phone, 'left': None, 'right': None}
if root is None:
return new_node
parent = None
curr = root
while curr is not None:
parent = curr
if name < curr['name']:
curr = curr['left']
elif name > curr['name']:
curr = curr['right']
else:
curr['phone'] = phone
return root
if name < parent['name']:
parent['left'] = new_node
else:
parent['right'] = new_node
return root
def bst_find(root, name):
while root is not None:
if name == root['name']:
return root['phone']
elif name < root['name']:
root = root['left']
else:
root = root['right']
return None
def _bst_min_node(node):
while node and node['left'] is not None:
node = node['left']
return node
def bst_delete(root, name):
if root is None:
return None
if name < root['name']:
root['left'] = bst_delete(root['left'], name)
elif name > root['name']:
root['right'] = bst_delete(root['right'], name)
else:
if root['left'] is None:
return root['right']
if root['right'] is None:
return root['left']
min_node = _bst_min_node(root['right'])
root['name'] = min_node['name']
root['phone'] = min_node['phone']
root['right'] = bst_delete(root['right'], min_node['name'])
return root
def bst_list_all(root):
def inorder(node, res):
if node is None:
return
inorder(node['left'], res)
res.append((node['name'], node['phone']))
inorder(node['right'], res)
result = []
inorder(root, result)
return result