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 +1,102 @@
#+PROPERTY: STUDY_DECK_02
* TODO 2013. Detect Squares :medium:
:PROPERTIES:
:NEETCODE: [[file:../../roadmap.org::*2013. Detect Squares][Roadmap]]
:NEETCODE: [[file:../../roadmap.org::*2013. Detect Squares][2013. Detect Squares]]
:END:
You are given a stream of points on the X-Y plane. Design an algorithm that:
- *Adds* new points from the stream into a data structure. *Duplicate* points are allowed and should be treated as different points.
- Given a query point, *counts* the number of ways to choose three points from the data structure such that the three points and the query point form an *axis-aligned square* with *positive area*.
An *axis-aligned square* is a square whose edges are all the same length and are either parallel or perpendicular to the x-axis and y-axis.
Implement the ~DetectSquares~ class:
- ~DetectSquares()~ Initializes the object with an empty data structure.
- ~void add(int[] point)~ Adds a new point ~point = [x, y]~ to the data structure.
- ~int count(int[] point)~ Counts the number of ways to form *axis-aligned squares* with point ~point = [x, y]~ as described above.
*Example 1:*
#+begin_src
Input
["DetectSquares", "add", "add", "add", "count", "count", "add", "count"]
[[], [[3, 10]], [[11, 2]], [[3, 2]], [[11, 10]], [[14, 8]], [[11, 2]], [[11, 10]]]
Output
[null, null, null, null, 1, 0, null, 2]
Explanation
DetectSquares detectSquares = new DetectSquares();
detectSquares.add([3, 10]);
detectSquares.add([11, 2]);
detectSquares.add([3, 2]);
detectSquares.count([11, 10]); // return 1. You can choose:
// - The first, second, and third points
detectSquares.count([14, 8]); // return 0. The query point cannot form a square with any points in the data structure.
detectSquares.add([11, 2]); // Adding duplicate points is allowed.
detectSquares.count([11, 10]); // return 2. You can choose:
// - The first, second, and third points
// - The first, third, and fourth points
#+end_src
*Constraints:*
- ~point.length == 2~
- ~0 <= x, y <= 1000~
- At most ~3000~ calls *in total* will be made to ~add~ and ~count~.
** TODO Approach
Write your approach here.
** TODO Python
#+begin_src python
class DetectSquares:
def __init__(self):
def add(self, point: List[int]) -> None:
def count(self, point: List[int]) -> int:
# Your DetectSquares object will be instantiated and called as such:
# obj = DetectSquares()
# obj.add(point)
# param_2 = obj.count(point)
#+end_src
** TODO C++
#+begin_src cpp
class DetectSquares {
public:
DetectSquares() {
}
void add(vector<int> point) {
}
int count(vector<int> point) {
}
};
/**
* Your DetectSquares object will be instantiated and called as such:
* DetectSquares* obj = new DetectSquares();
* obj->add(point);
* int param_2 = obj->count(point);
*/
#+end_src