docs(docs): add ProblemBadges component, layout slot, and enrich pages with topics/video frontmatter, plus guide placeholders and topic‑landing map.

2026-11-02 21:22:43 +00:00 · 2026-09-28 11:20:41 -04:00
1 parent b035d1ffa0
commit d2888360e2
@@ -2,13 +2,17 @@
 title: '230. Kth Smallest Element in a BST'
 description: Given the root of a binary search tree, and an integer k, return the k^th smallest value (1-indexed) of all the values of the nodes in the tree
 icon: dot
+topics:
+  - { name: "Tree", slug: "tree" }
+  - { name: "Depth-First Search", slug: "depth-first-search" }
+  - { name: "Binary Search Tree", slug: "binary-search-tree" }
+  - { name: "Binary Tree", slug: "binary-tree" }
+video: "5LUXSvjmGCw"
 sidebar:
  label: 'Kth Smallest Element in a BST'
  badge: 'Medium'
 ---

-<Badge variant="accent">Tree</Badge>
-
 ::::warning
 If the BST is modified often (i.e., we can do insert and delete operations) and you need to find the kth smallest frequently, how would you optimize?
 ::::
@@ -70,7 +74,3 @@ class Solution:
                return cur.val
            cur = cur.right
 ```
-
-## Explanation
-
-<YouTube id="5LUXSvjmGCw" title="Kth Smallest Element in a BST - Leetcode 230 - Python" />
@@ -2,13 +2,19 @@
 title: '235. Lowest Common Ancestor of a Binary Search Tree'
 description: Given a binary search tree (BST), find the lowest common ancestor (LCA) node of two given nodes in the BST
 icon: dot
+topics:
+  - { name: "Tree", slug: "tree" }
+  - { name: "Depth-First Search", slug: "depth-first-search" }
+  - { name: "Binary Search Tree", slug: "binary-search-tree" }
+  - { name: "Binary Tree", slug: "binary-tree" }
+  - { name: "Binary Lifting", slug: "binary-lifting" }
+  - { name: "Lowest Common Ancestor", slug: "lowest-common-ancestor" }
+video: "gs2LMfuOR9k"
 sidebar:
  label: 'Lowest Common Ancestor of a Binary Search Tree'
  badge: 'Medium'
 ---

-<Badge variant="accent">Tree</Badge>
-
 ### Example 1:
 - Input: `root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 8`
 - Output: `6`
@@ -71,7 +77,3 @@ class Solution:
            else:
                return cur
 ```
-
-## Explanation
-
-<YouTube id="gs2LMfuOR9k" title="Lowest Common Ancestor of a Binary Search Tree - Leetcode 235 - Python" />
@@ -2,13 +2,17 @@
 title: '98. Validate Binary Search Tree'
 description: Given the root of a binary tree, determine if it is a valid binary search tree (BST)
 icon: dot
+topics:
+  - { name: "Tree", slug: "tree" }
+  - { name: "Depth-First Search", slug: "depth-first-search" }
+  - { name: "Binary Search Tree", slug: "binary-search-tree" }
+  - { name: "Binary Tree", slug: "binary-tree" }
+video: "s6ATEkipzow"
 sidebar:
  label: 'Validate Binary Search Tree'
  badge: 'Medium'
 ---

-<Badge variant="accent">Tree</Badge>
-
 ### Example 1:
 - Input: `root = [2,1,3]`
 - Output: `true`
@@ -62,7 +66,3 @@ class Solution:

        return valid(root, float("-inf"), float("inf"))
 ```
-
-## Explanation
-
-<YouTube id="s6ATEkipzow" title="Validate Binary Search Tree - Depth First Search - Leetcode 98" />
@@ -2,13 +2,18 @@
 title: '215. Kth Largest Element in an Array'
 description: Given an integer array nums and an integer k, return the k^th largest element in the array
 icon: dot
+topics:
+  - { name: "Array", slug: "array" }
+  - { name: "Divide and Conquer", slug: "divide-and-conquer" }
+  - { name: "Sorting", slug: "sorting" }
+  - { name: "Heap (Priority Queue)", slug: "heap-priority-queue" }
+  - { name: "Quickselect", slug: "quickselect" }
+video: "XEmy13g1Qxc"
 sidebar:
  label: 'Kth Largest Element in an Array'
  badge: 'Medium'
 ---

-<Badge variant="accent">Array</Badge>
-
 ### Example 1:
 - Input: `nums = [3,2,1,5,6,4], k = 2`
 - Output: `5`
@@ -54,7 +59,3 @@ class Solution:

        return -heapq.heappop(nums)
 ```
-
-## Explanation
-
-<YouTube id="XEmy13g1Qxc" title="Kth Largest Element in an Array - Quick Select - Leetcode 215 - Python" />
@@ -2,13 +2,18 @@
 title: '23. Merge k Sorted Lists'
 description: You are given an array of k linked-lists lists, each linked-list is sorted in ascending order
 icon: dot
+topics:
+  - { name: "Linked List", slug: "linked-list" }
+  - { name: "Divide and Conquer", slug: "divide-and-conquer" }
+  - { name: "Heap (Priority Queue)", slug: "heap-priority-queue" }
+  - { name: "Merge Sort", slug: "merge-sort" }
+  - { name: "Tournament Sort", slug: "tournament-sort" }
+video: "q5a5OiGbT6Q"
 sidebar:
  label: 'Merge k Sorted Lists'
  badge: 'Hard'
 ---

-<Badge variant="accent">Linked List</Badge>
-
 ### Example 1:
 - Input: `lists = [[1,4,5],[1,3,4],[2,6]]`
 - Output: `[1,1,2,3,4,4,5,6]`
@@ -89,7 +94,3 @@ class Solution:
        # Space: O(n)
        return D.next
 ```
-
-## Explanation
-
-<YouTube id="q5a5OiGbT6Q" title="Merge K Sorted Lists - Leetcode 23 - Python" />
@@ -2,13 +2,21 @@
 title: '973. K Closest Points to Origin'
 description: Given an array of points where points[i] = [xi, yi] represents a point on the X-Y plane and an integer k, return the k closest points to the origin (0, 0)
 icon: dot
+topics:
+  - { name: "Array", slug: "array" }
+  - { name: "Math", slug: "math" }
+  - { name: "Divide and Conquer", slug: "divide-and-conquer" }
+  - { name: "Geometry", slug: "geometry" }
+  - { name: "Sorting", slug: "sorting" }
+  - { name: "Heap (Priority Queue)", slug: "heap-priority-queue" }
+  - { name: "Quickselect", slug: "quickselect" }
+  - { name: "K-D Tree", slug: "k-d-tree" }
+video: "rI2EBUEMfTk"
 sidebar:
  label: 'K Closest Points to Origin'
  badge: 'Medium'
 ---

-<Badge variant="accent">Array</Badge>
-
 ### Example 1:
 - Input: `points = [[1,3],[-2,2]], k = 1`
 - Output: `[[-2,2]]`
@@ -64,7 +72,3 @@ class Solution:

        return res
 ```
-
-## Explanation
-
-<YouTube id="rI2EBUEMfTk" title="K Closest Points to Origin - Heap / Priority Queue - Leetcode 973 - Python" />
@@ -2,13 +2,16 @@
 title: '102. Binary Tree Level Order Traversal'
 description: Given the root of a binary tree, return the level order traversal of its nodes' values. (i.e., from left to right, level by level)
 icon: dot
+topics:
+  - { name: "Tree", slug: "tree" }
+  - { name: "Breadth-First Search", slug: "breadth-first-search" }
+  - { name: "Binary Tree", slug: "binary-tree" }
+video: "6ZnyEApgFYg"
 sidebar:
  label: 'Binary Tree Level Order Traversal'
  badge: 'Medium'
 ---

-<Badge variant="accent">Tree</Badge>
-
 ### Example 1:
 - Input: `root = [3,9,20,null,null,15,7]`
 - Output: `[[3],[9,20],[15,7]]`
@@ -80,7 +83,3 @@ class Solution:

        return res
 ```
-
-## Explanation
-
-<YouTube id="6ZnyEApgFYg" title="Binary Tree Level Order Traversal - BFS - Leetcode 102" />
@@ -2,13 +2,17 @@
 title: '1448. Count Good Nodes in Binary Tree'
 description: Given a binary tree root, a node X in the tree is named good if in the path from root to X there are no nodes with a value greater than X
 icon: dot
+topics:
+  - { name: "Tree", slug: "tree" }
+  - { name: "Depth-First Search", slug: "depth-first-search" }
+  - { name: "Breadth-First Search", slug: "breadth-first-search" }
+  - { name: "Binary Tree", slug: "binary-tree" }
+video: "7cp5imvDzl4"
 sidebar:
  label: 'Count Good Nodes in Binary Tree'
  badge: 'Medium'
 ---

-<Badge variant="accent">Tree</Badge>
-
 ### Example 1:
 - Input: `root = [3,1,4,3,null,1,5]`
 - Output: `4`
@@ -67,7 +71,3 @@ class Solution:

        return dfs(root, root.val)
 ```
-
-## Explanation
-
-<YouTube id="7cp5imvDzl4" title="Microsoft's Most Asked Question 2021 - Count Good Nodes in a Binary Tree - Leetcode 1448 - Python" />
@@ -2,13 +2,17 @@
 title: '199. Binary Tree Right Side View'
 description: Given the root of a binary tree, imagine yourself standing on the right side of it, return the values of the nodes you can see ordered from top to bottom
 icon: dot
+topics:
+  - { name: "Tree", slug: "tree" }
+  - { name: "Depth-First Search", slug: "depth-first-search" }
+  - { name: "Breadth-First Search", slug: "breadth-first-search" }
+  - { name: "Binary Tree", slug: "binary-tree" }
+video: "d4zLyf32e3I"
 sidebar:
  label: 'Binary Tree Right Side View'
  badge: 'Medium'
 ---

-<Badge variant="accent">Tree</Badge>
-
 ### Example 1:
 - Input: `root = [1,2,3,null,5,null,4]`
 - Output: `[1,3,4]`
@@ -83,7 +87,3 @@ class Solution:

        return res
 ```
-
-## Explanation
-
-<YouTube id="d4zLyf32e3I" title="Binary Tree Right Side View - Breadth First Search - Leetcode 199" />
@@ -2,13 +2,17 @@
 title: '104. Maximum Depth of Binary Tree'
 description: Given the root of a binary tree, return its maximum depth
 icon: dot
+topics:
+  - { name: "Tree", slug: "tree" }
+  - { name: "Depth-First Search", slug: "depth-first-search" }
+  - { name: "Breadth-First Search", slug: "breadth-first-search" }
+  - { name: "Binary Tree", slug: "binary-tree" }
+video: "hTM3phVI6YQ"
 sidebar:
  label: 'Maximum Depth of Binary Tree'
  badge: 'Easy'
 ---

-<Badge variant="accent">Tree</Badge>
-
 ### Example 1:
 - Input: `root = [3,9,20,null,null,15,7]`
 - Output: `3`
@@ -48,7 +52,3 @@ class Solution:

        return 1 + max(self.maxDepth(root.left), self.maxDepth(root.right))
 ```
-
-## Explanation
-
-<YouTube id="hTM3phVI6YQ" title="Maximum Depth of Binary Tree - 3 Solutions - Leetcode 104 - Python" />
@@ -2,13 +2,17 @@
 title: '226. Invert Binary Tree'
 description: Given the root of a binary tree, invert the tree, and return its root
 icon: dot
+topics:
+  - { name: "Tree", slug: "tree" }
+  - { name: "Depth-First Search", slug: "depth-first-search" }
+  - { name: "Breadth-First Search", slug: "breadth-first-search" }
+  - { name: "Binary Tree", slug: "binary-tree" }
+video: "OnSn2XEQ4MY"
 sidebar:
  label: 'Invert Binary Tree'
  badge: 'Easy'
 ---

-<Badge variant="accent">Tree</Badge>
-
 ### Example 1:
 - Input: `root = [4,2,7,1,3,6,9]`
 - Output: `[4,7,2,9,6,3,1]`
@@ -59,7 +63,3 @@ class Solution:

        return root
 ```
-
-## Explanation
-
-<YouTube id="OnSn2XEQ4MY" title="Invert Binary Tree - Depth First Search - Leetcode 226" />
@@ -2,13 +2,17 @@
 title: '236. Lowest Common Ancestor of a Binary Tree'
 description: Given a binary tree, find the lowest common ancestor (LCA) of two given nodes in the tree
 icon: dot
+topics:
+  - { name: "Tree", slug: "tree" }
+  - { name: "Depth-First Search", slug: "depth-first-search" }
+  - { name: "Binary Tree", slug: "binary-tree" }
+  - { name: "Binary Lifting", slug: "binary-lifting" }
+  - { name: "Lowest Common Ancestor", slug: "lowest-common-ancestor" }
 sidebar:
  label: 'Lowest Common Ancestor of a Binary Tree'
  badge: 'Medium'
 ---

-<Badge variant="accent">Tree</Badge>
-
 ### Example 1:
 - Input: `root = [3,5,1,6,2,0,8,null,null,7,4], p = 5, q = 1`
 - Output: `3`
@@ -2,13 +2,17 @@
 title: '208. Implement Trie (Prefix Tree)'
 description: A trie (pronounced as "try") or prefix tree is a tree data structure used to efficiently store and retrieve keys in a dataset of strings. There are various applications of this data structure, such as autocomplete and spellchecker
 icon: dot
+topics:
+  - { name: "Hash Table", slug: "hash-table" }
+  - { name: "String", slug: "string" }
+  - { name: "Design", slug: "design" }
+  - { name: "Trie", slug: "trie" }
+video: "oobqoCJlHA0"
 sidebar:
  label: 'Implement Trie (Prefix Tree)'
  badge: 'Medium'
 ---

-<Badge variant="accent">Hash Table</Badge>
-
 ### Example 1:
 - Input: ``
 - Output: ``
@@ -107,7 +111,3 @@ class Trie:
 # param_2 = obj.search(word)
 # param_3 = obj.startsWith(prefix)
 ```
-
-## Explanation
-
-<YouTube id="oobqoCJlHA0" title="Implement Trie (Prefix Tree) - Leetcode 208" />
@@ -2,13 +2,17 @@
 title: '211. Design Add and Search Words Data Structure'
 description: Design a data structure that supports adding new words and finding if a string matches any previously added string
 icon: dot
+topics:
+  - { name: "String", slug: "string" }
+  - { name: "Depth-First Search", slug: "depth-first-search" }
+  - { name: "Design", slug: "design" }
+  - { name: "Trie", slug: "trie" }
+video: "BTf05gs_8iU"
 sidebar:
  label: 'Design Add and Search Words Data Structure'
  badge: 'Medium'
 ---

-<Badge variant="accent">String</Badge>
-
 ### Constraints:

 - `1 <= word.length <= 25`
@@ -101,7 +105,3 @@ class WordDictionary:
 # obj.addWord(word)
 # param_3 = obj.search(word)
 ```
-
-## Explanation
-
-<YouTube id="BTf05gs_8iU" title="Design Add and Search Words Data Structure - Leetcode 211 - Python" />