zinating
diff --git a/‎data_structures/binary_tree/binary_search_tree.py‎
Lines changed: 44 additions & 33 deletions b/‎data_structures/binary_tree/binary_search_tree.py‎
Lines changed: 44 additions & 33 deletions
@@ -2,15 +2,18 @@
 A binary search Tree
 """
 
+from collections.abc import Iterable
+from typing import Any
+
 
 class Node:
-    def __init__(self, value, parent):
+    def __init__(self, value: int | None = None):
         self.value = value
-        self.parent = parent  # Added in order to delete a node easier
-        self.left = None
-        self.right = None
+        self.parent: Node | None = None  # Added in order to delete a node easier
+        self.left: Node | None = None
+        self.right: Node | None = None
 
-    def __repr__(self):
+    def __repr__(self) -> str:
         from pprint import pformat
 
         if self.left is None and self.right is None:
@@ -19,16 +22,16 @@ def __repr__(self):
 
 
 class BinarySearchTree:
-    def __init__(self, root=None):
+    def __init__(self, root: Node | None = None):
         self.root = root
 
-    def __str__(self):
+    def __str__(self) -> str:
         """
         Return a string of all the Nodes using in order traversal
         """
         return str(self.root)
 
-    def __reassign_nodes(self, node, new_children):
+    def __reassign_nodes(self, node: Node, new_children: Node | None) -> None:
         if new_children is not None:  # reset its kids
             new_children.parent = node.parent
         if node.parent is not None:  # reset its parent
@@ -37,23 +40,27 @@ def __reassign_nodes(self, node, new_children):
             else:
                 node.parent.left = new_children
         else:
-            self.root = new_children
+            self.root = None
 
-    def is_right(self, node):
-        return node == node.parent.right
+    def is_right(self, node: Node) -> bool:
+        if node.parent and node.parent.right:
+            return node == node.parent.right
+        return False
 
-    def empty(self):
+    def empty(self) -> bool:
         return self.root is None
 
-    def __insert(self, value):
+    def __insert(self, value) -> None:
         """
         Insert a new node in Binary Search Tree with value label
         """
-        new_node = Node(value, None)  # create a new Node
+        new_node = Node(value)  # create a new Node
         if self.empty():  # if Tree is empty
             self.root = new_node  # set its root
         else:  # Tree is not empty
             parent_node = self.root  # from root
+            if parent_node is None:
+                return None
             while True:  # While we don't get to a leaf
                 if value < parent_node.value:  # We go left
                     if parent_node.left is None:
@@ -69,12 +76,11 @@ def __insert(self, value):
                         parent_node = parent_node.right
             new_node.parent = parent_node
 
-    def insert(self, *values):
+    def insert(self, *values) -> None:
         for value in values:
             self.__insert(value)
-        return self
 
-    def search(self, value):
+    def search(self, value) -> Node | None:
         if self.empty():
             raise IndexError("Warning: Tree is empty! please use another.")
         else:
@@ -84,30 +90,35 @@ def search(self, value):
                 node = node.left if value < node.value else node.right
             return node
 
-    def get_max(self, node=None):
+    def get_max(self, node: Node | None = None) -> Node | None:
         """
         We go deep on the right branch
         """
         if node is None:
+            if self.root is None:
+                return None
             node = self.root
+
         if not self.empty():
             while node.right is not None:
                 node = node.right
         return node
 
-    def get_min(self, node=None):
+    def get_min(self, node: Node | None = None) -> Node | None:
         """
         We go deep on the left branch
         """
         if node is None:
             node = self.root
+        if self.root is None:
+            return None
         if not self.empty():
             node = self.root
             while node.left is not None:
                 node = node.left
         return node
 
-    def remove(self, value):
+    def remove(self, value: int) -> None:
         node = self.search(value)  # Look for the node with that label
         if node is not None:
             if node.left is None and node.right is None:  # If it has no children
@@ -120,18 +131,18 @@ def remove(self, value):
                 tmp_node = self.get_max(
                     node.left
                 )  # Gets the max value of the left branch
-                self.remove(tmp_node.value)
+                self.remove(tmp_node.value)  # type: ignore
                 node.value = (
-                    tmp_node.value
+                    tmp_node.value  # type: ignore
                 )  # Assigns the value to the node to delete and keep tree structure
 
-    def preorder_traverse(self, node):
+    def preorder_traverse(self, node: Node | None) -> Iterable:
         if node is not None:
             yield node  # Preorder Traversal
             yield from self.preorder_traverse(node.left)
             yield from self.preorder_traverse(node.right)
 
-    def traversal_tree(self, traversal_function=None):
+    def traversal_tree(self, traversal_function=None) -> Any:
         """
         This function traversal the tree.
         You can pass a function to traversal the tree as needed by client code
@@ -141,7 +152,7 @@ def traversal_tree(self, traversal_function=None):
         else:
             return traversal_function(self.root)
 
-    def inorder(self, arr: list, node: Node):
+    def inorder(self, arr: list, node: Node | None) -> None:
         """Perform an inorder traversal and append values of the nodes to
         a list named arr"""
         if node:
@@ -151,12 +162,12 @@ def inorder(self, arr: list, node: Node):
 
     def find_kth_smallest(self, k: int, node: Node) -> int:
         """Return the kth smallest element in a binary search tree"""
-        arr: list = []
+        arr: list[int] = []
         self.inorder(arr, node)  # append all values to list using inorder traversal
         return arr[k - 1]
 
 
-def postorder(curr_node):
+def postorder(curr_node: Node | None) -> list[Node]:
     """
     postOrder (left, right, self)
     """
@@ -166,7 +177,7 @@ def postorder(curr_node):
     return node_list
 
 
-def binary_search_tree():
+def binary_search_tree() -> None:
     r"""
     Example
                   8
@@ -177,7 +188,8 @@ def binary_search_tree():
                  / \   /
                 4   7 13
 
-    >>> t = BinarySearchTree().insert(8, 3, 6, 1, 10, 14, 13, 4, 7)
+    >>> t = BinarySearchTree()
+    >>> t.insert(8, 3, 6, 1, 10, 14, 13, 4, 7)
     >>> print(" ".join(repr(i.value) for i in t.traversal_tree()))
     8 3 1 6 4 7 10 14 13
     >>> print(" ".join(repr(i.value) for i in t.traversal_tree(postorder)))
@@ -206,8 +218,8 @@ def binary_search_tree():
         print("The value -1 doesn't exist")
 
     if not t.empty():
-        print("Max Value: ", t.get_max().value)
-        print("Min Value: ", t.get_min().value)
+        print("Max Value: ", t.get_max().value)  # type: ignore
+        print("Min Value: ", t.get_min().value)  # type: ignore
 
     for i in testlist:
         t.remove(i)
@@ -217,5 +229,4 @@ def binary_search_tree():
 if __name__ == "__main__":
     import doctest
 
-    doctest.testmod()
-    # binary_search_tree()
+    doctest.testmod(verbose=True)