feat: populate note files with problem descriptions and code stubs

Add populate-notes.mjs that fetches problem descriptions and
Python/C++ code stubs from LeetCode's GraphQL API. Populated
all 197 NeetCode 150 note files with:
- Problem description (examples, constraints)
- Python code stub (function signature)
- C++ code stub (function signature + includes)

API responses cached in leetcode/.cache/leetcode/ for instant re-runs.
This commit is contained in:
2026-06-01 17:22:07 +08:00
parent e798e449bd
commit 1dec88aaf2
198 changed files with 10459 additions and 534 deletions
@@ -1,18 +1,123 @@
#+PROPERTY: STUDY_DECK_02
* TODO 0133. Clone Graph :medium:
:PROPERTIES:
:NEETCODE: [[file:../../roadmap.org::*0133. Clone Graph][Roadmap]]
:NEETCODE: [[file:../../roadmap.org::*0133. Clone Graph][0133. Clone Graph]]
:END:
Given a reference of a node in a *connected* undirected graph.
Return a *deep copy* (clone) of the graph.
Each node in the graph contains a value (~int~) and a list (~List[Node]~) of its neighbors.
#+begin_src
class Node {
public int val;
public List<Node> neighbors;
}
#+end_src
*Test case format:*
For simplicity, each node's value is the same as the node's index (1-indexed). For example, the first node with ~val == 1~, the second node with ~val == 2~, and so on. The graph is represented in the test case using an adjacency list.
An adjacency list is a collection of unordered lists used to represent a finite graph. Each list describes the set of neighbors of a node in the graph.
The given node will always be the first node with ~val = 1~. You must return the *copy of the given node* as a reference to the cloned graph.
*Example 1:*
#+begin_src
Input: adjList = [[2,4],[1,3],[2,4],[1,3]]
Output: [[2,4],[1,3],[2,4],[1,3]]
Explanation: There are 4 nodes in the graph.
1st node (val = 1)&#39;s neighbors are 2nd node (val = 2) and 4th node (val = 4).
2nd node (val = 2)&#39;s neighbors are 1st node (val = 1) and 3rd node (val = 3).
3rd node (val = 3)&#39;s neighbors are 2nd node (val = 2) and 4th node (val = 4).
4th node (val = 4)&#39;s neighbors are 1st node (val = 1) and 3rd node (val = 3).
#+end_src
*Example 2:*
#+begin_src
Input: adjList = [[]]
Output: [[]]
Explanation: Note that the input contains one empty list. The graph consists of only one node with val = 1 and it does not have any neighbors.
#+end_src
*Example 3:*
#+begin_src
Input: adjList = []
Output: []
Explanation: This an empty graph, it does not have any nodes.
#+end_src
*Constraints:*
- The number of nodes in the graph is in the range ~[0, 100]~.
- ~1 <= Node.val <= 100~
- ~Node.val~ is unique for each node.
- There are no repeated edges and no self-loops in the graph.
- The Graph is connected and all nodes can be visited starting from the given node.
** TODO Approach
Write your approach here.
** TODO Python
#+begin_src python
"""
# Definition for a Node.
class Node:
def __init__(self, val = 0, neighbors = None):
self.val = val
self.neighbors = neighbors if neighbors is not None else []
"""
from typing import Optional
class Solution:
def cloneGraph(self, node: Optional['Node']) -> Optional['Node']:
#+end_src
** TODO C++
#+begin_src cpp
/*
// Definition for a Node.
class Node {
public:
int val;
vector<Node*> neighbors;
Node() {
val = 0;
neighbors = vector<Node*>();
}
Node(int _val) {
val = _val;
neighbors = vector<Node*>();
}
Node(int _val, vector<Node*> _neighbors) {
val = _val;
neighbors = _neighbors;
}
};
*/
class Solution {
public:
Node* cloneGraph(Node* node) {
}
};
#+end_src