Searching both sides of a Binary Search Tree in Python

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Answers

  1. Gonzales

    • 2019/11/30

    You shouldn't return if you're not yet finished! Instead, you can replace your last 4 lines with a single, short-circuiting or:

    return findName(tree['left'], name) or findName(tree['right'], name)
    

    Make sure your IDs don't include 0, though, otherwise this method will fail because 0 is a falsy value, just like None.

  2. Mateo

    • 2020/5/10

    Both the left and right subtrees must also be binary search trees. For example: Given BST [1,null,2,2] , 1 \ 2 / 2. return [2] . Note:If a tree has more than one mode,​ 

  3. Wright

    • 2020/5/10

    What is a Binary Search Tree? A binary search tree is a data structure that quickly allows us to maintain a sorted list of numbers. It is composed of nodes, which store data and also links to up to

  4. Thanasi

    • 2019/12/28

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  5. Alec

    • 2021/1/25
    ...
    result = findName(tree['left'],name)
    if result is None:
        result = findName(tree['right'],name) 
    return result
    
  6. Marcelo

    • 2017/12/8

    Binary Search Tree. Subscribe to see which companies asked this question. You have solved 0 / 4 problems.

  7. Rafael

    • 2015/3/28

    Given a binary tree, determine if it is a valid binary search tree (BST). Assume a BST is defined as follows: The left subtree of a node contains only nodes with 

  8. Thompson

    • 2019/1/28

    Given a binary tree, determine if it is a valid binary search tree (BST). Assume a BST is defined as follows: The left subtree of a node contains only nodes with keys less than the node's key. The right subtree of a node contains only nodes with keys greater than the node's key. Both the left and right subtrees must also be binary search trees.

  9. Laurent

    • 2021/6/8

    You could traverse the branches like this if you wish to avoid the extra recursive call. Note that it is preferable to test identity of None rather than equality

    for branch in ('left', 'right'):
        if tree[branch] is not None:
            result = findName(tree[branch], name)
            if result is not None:
                return result
    
  10. Mack

    • 2018/5/11

    Whenever an element is to be inserted, first locate its proper location. Start searching from the root node, then if the data is less than the key value, search for the 

  11. Halili

    • 2019/3/27

    Python - Binary Tree One node is marked as Root node. Every node other than the root is associated with one parent node. Each node can have an arbiatry number of chid node.

  12. Jonah

    • 2017/3/30

    Posted: Apr 3, 2019

  13. Emilio

    • 2021/7/26

    try this:

    def search(node, name):
        self_result = [node['id']] if node['name'] == name else []
        if not node['left'] and not node['right']:
            return self_result
        elif node['left'] and not node['right']:
            return self_result + search(node['left'], name)
        elif not node['left'] and node['right']:
            return self_result + search(node['right'], name)
        else:
            return self_result + search(node['left'], name) + search(node['right'], name)
    
    test_tree = {'id':0, 'name': 'a', 
                 'left': {'id':1, 'name': 'a', 
                          'left':{'id':3, 'name':'c', 
                                  'left':{'id':4,'name': 'd', 
                                      'left' : None,
                                      'right' : None},
                              'right':None},
                      'right':{'id':4, 'name':'e',
                               'left': None,
                               'right': None}
                      }, 
                 'right': {'id':5, 'name':'c',
                           'left': {'id':6, 'name':'e',
                                    'left': None,
                                    'right': None},
                           'right': {'id': 7, 'name': 'a',
                                     'left' : {'id' : 8, 'name': 'b',
                                               'left': None,
                                               'right' : None},
                                     'right' : None
                                    }
                          }
                }
    
    if __name__ == '__main__':
        assert search(test_tree, 'a') == [0, 1, 7]
        assert search(test_tree, 'b') == [8]
        assert search(test_tree, 'c') == [3, 5]
        assert search(test_tree, 'e') == [4, 6]
        print 'ok'
    

    It can also deal with multiple matches.

  14. Elisha

    • 2018/5/28

    Therefore, deletion in binary tree has worst case complexity of O(n). In general, time complexity is O(h). AVL/ Height Balanced Tree – AVL tree is binary search tree with additional property that difference between height of left sub-tree and right sub-tree of any node can’t be more than 1.

  15. Eliel

    • 2017/12/13

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  16. Giuliani

    • 2019/6/13

    C Binary Tree with an Example C Code (Search, Delete, Insert Nodes) Creation of binary tree. Binary tree is created by inserting root node and its child nodes. We will use a C programming Searching into binary tree. Searching is done as per value of node to be searched whether it is root node or

  17. Jaxton

    • 2018/10/15

    The problem is you are returning in the

    if tree['left']!=None:
        return findName(tree['left'],name) 
    

    What you have to do is create a local variable and set it to the value from findName() then if you get None continue with the right otherwise return the value.

  18. David

    • 2020/6/11

    A Binary Tree is a non-linear data structure that is used for searching and data organization. A binary tree is comprised of nodes. Each node 

  19. Kenneth

    • 2017/4/2

    // Binary Search Tree operations in C #include <stdio.h> #include <stdlib.h> struct node { int key; struct node *left, *right; }; // Create a node struct node *newNode(int item) { struct node *temp = (struct node *)malloc(sizeof(struct node)); temp->key = item; temp->left = temp->right = NULL; return temp; } // Inorder Traversal void inorder(struct node *root) { if (root != NULL) { // Traverse left inorder(root->left); // Traverse root printf("%d -> ", root->key); // Traverse right inorder

  20. Carter

    • 2015/5/2

    Time complexity of binary search tree- Time complexity of BST operations is O(h) where h is the height of binary search tree. Binary search tree is a special kind 

  21. Beckham

    • 2019/10/2

    Find a Corresponding Node of a Binary Tree in a Clone of That Tree in C++; Program to invert a binary tree in Python; Program to find the maximum width of a binary tree in Python; Program to find k-length paths on a binary tree in Python; Find the node with minimum value in a Binary Search Tree in C++; Program to find number of only child in a

  22. Marcos

    • 2017/1/27

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  23. Tanner

    • 2019/12/23

    Python - Search Tree. A Binary Search Tree (BST) is a tree in which all the nodes follow the below-mentioned properties − The left sub-tree of a node has a key less than or equal to its parent node's key. The right sub-tree of a node has a key greater than to its parent node's key. Thus, BST divides all its sub-trees into two segments; the left sub-tree and the right sub-tree and can be defined as –.

  24. Jakob

    • 2019/10/9

    Let a binary search tree (BST) is defined as follows: The left subtree of a node contains only nodes with keys less than the node's key. The right 

  25. Jaxson

    • 2016/5/22

    In Python, a binary tree can be represented in different ways with different data structures(dictionary, list) and class representation for a node. However, binarytree library helps to directly implement a binary tree. It also supports heap and binary search tree(BST). This module does not come pre-installed with Python’s standard utility module.

  26. Taylor

    • 2019/8/31

    Both the left and right subtrees must also be binary search trees. For example: Given BST [1,null,2,2] , 1 \ 2 / 2.

  27. Atticus

    • 2019/3/28

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  28. Jaden

    • 2019/5/26

    This webpage covers the space and time Big-O complexities of common Binary Search Tree, Θ(log(n)), Θ(log(n)), Θ(log(n)), Θ(log(n)), O(n), O(n), O(n), O(n) 

  29. Yahya

    • 2016/2/27

    Time Complexity of a Search in a Binary Tree Suppose we have a key, and we want to retrieve the associated fields of for. The problem is formulated as the identification of the node such that. So, we move into the tree, starting from the root node, comparing our key with the keys of the nodes we visit.

  30. Remington

    • 2015/12/14

    Trees are non-linear data structures that represent nodes connected by edges. Each tree consists of a root node as the Parent node, and the left node and right 

  31. Grassi

    • 2018/6/5

    The complexity of each of these Depth-first traversals is O (n+m). Since the number of edges that can originate from a node is limited to 2 in the case of a Binary Tree, the maximum number of total edges in a Binary Tree is n-1, where n is the total number of nodes. The complexity then becomes O (n + n-1), which is O (n).

  32. Raymond

    • 2017/5/3

    Since we're talking about Binary Search Trees, decisions are going to be a lot easier. A Binary Search Tree (BST) gives you two choices: left or right, less than or 

  33. Saul

    • 2015/3/3

    C Program to implement Binary Search Tree Traversal Preorder traversal sequence : F, B, A, D, C, E, G, I, H (root, left, right) Inorder traversal sequence : A, B, C, D, E, F, G, H, I (left, root, right) Postorder traversal sequence: A, C, E, D, B, H, I, G, F (left, right, root)

  34. Kyree

    • 2021/7/16

    Search for a place. At this stage analgorithm should follow binary search tree property. If a new value is less, than the current node's value, go to the left 

  35. Solomon

    • 2021/5/15

    Binarytree is a Python library which provides a simple API to generate, visualize, inspect and manipulate binary trees. It allows you to skip the tedious work of setting up test data, and dive straight into practising your algorithms. Heaps and BSTs (binary search trees) are also supported.

  36. Dakari

    • 2015/5/24

    A common kind of tree is a binary tree, in which each node contains a reference We assume that the input string has already been tokenized into a Python list 

  37. Jayce

    • 2019/10/22

    struct node* search (struct node *root, int x) { if (root==NULL || root->data==x) return root; else if (x>root->data) return search (root->right_child, x); else return search (root->left_child,x); } search is a function to find any element in the tree.

  38. Kelly

    • 2016/12/17

    www.gatevidyalay.com › time-complexity-of-bst-binary-search-tree

  39. Morel

    • 2019/1/21

    Write a Python program to check whether a given a binary tree is a valid binary search tree (BST) or not. Go to the editor Let a binary search tree (BST) is defined as follows: The left subtree of a node contains only nodes with keys less than the node's key. The right subtree of a node contains only nodes with keys greater than the node's key.

  40. Petit

    • 2017/12/18

    with n nodes has a minimum of O(log n) levels, it takes at least O(log n) comparisons to find a particular node.

  41. Flores

    • 2021/10/26

    You won't find any trees in the standard library. Python heavily uses dictionary that is hash table for its internal (object, classes and modules are all based on dicts). Therefore dicts has been greatly optimized. This make the needs for search trees much smaller.

  42. Ermias

    • 2019/11/3

    Here is my simple recursive implementation of binary search tree. #!/usr/bin/​python class Node: def __init__(self, val): self.l = None self.r = None self.v = val class 

  43. Kelly

    • 2015/5/6

    Cost of Optimal BST is 142 Time complexity of the above naive recursive approach is exponential. It should be noted that the above function computes the same subproblems again and again. We can see many subproblems being repeated in the following recursion tree for freq [1..4].

  44. Ronald

    • 2016/6/16

    The conditions that make binary search trees different from binary trees are that binary search trees are ordered — where the left child is always 

  45. Major

    • 2015/9/1

    Python Program for Binary Search (Recursive and Iterative) In a nutshell, this search algorithm takes advantage of a collection of elements that is already sorted by ignoring half of the elements after just one comparison. Compare x with the middle element. If x matches with the middle element, we return the mid index.

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