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5 changed files with 1 additions and 179 deletions

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@ -4,7 +4,7 @@ import Turndown from "turndown";
import * as cheerio from "cheerio";
import { client, gql } from "./graphql.mjs";
const langExt = { python3: "py", nodejs: "js", cpp: "cpp", sql: "sql" };
const langExt = { python3: "py", nodejs: "js", cpp: "cpp" };
const link = await question("Enter leetcode problem link: ");
const titleSlug = path.basename(new URL(link).pathname);

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@ -1,42 +0,0 @@
You are given a string `s`, and an array of pairs of indices in the string `pairs` where `pairs[i] = [a, b]` indicates 2 indices(0-indexed) of the string.
You can swap the characters at any pair of indices in the given `pairs` **any number of times**.
Return the lexicographically smallest string that `s` can be changed to after using the swaps.
**Example 1:**
Input: s = "dcab", pairs = [[0,3],[1,2]]
Output: "bacd"
Explaination:
Swap s[0] and s[3], s = "bcad"
Swap s[1] and s[2], s = "bacd"
**Example 2:**
Input: s = "dcab", pairs = [[0,3],[1,2],[0,2]]
Output: "abcd"
Explaination:
Swap s[0] and s[3], s = "bcad"
Swap s[0] and s[2], s = "acbd"
Swap s[1] and s[2], s = "abcd"
**Example 3:**
Input: s = "cba", pairs = [[0,1],[1,2]]
Output: "abc"
Explaination:
Swap s[0] and s[1], s = "bca"
Swap s[1] and s[2], s = "bac"
Swap s[0] and s[1], s = "abc"
**Constraints:**
* `1 <= s.length <= 10^5`
* `0 <= pairs.length <= 10^5`
* `0 <= pairs[i][0], pairs[i][1] < s.length`
* `s` only contains lower case English letters.
https://leetcode.com/problems/smallest-string-with-swaps

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@ -1,52 +0,0 @@
from collections import defaultdict
class Solution:
def smallestStringWithSwaps(self, s: str, pairs: List[List[int]]) -> str:
'''
Key idea: if (a, b) indexes can be swapped and (b, c) indexes can
be swapped, then (a, c) can be swapped so infinite swap across (a, b, c).
Can be expanded to cover any other letters that are swappable.
'''
# Make the adjacency list
swapmap = defaultdict(list)
for i, j in pairs:
swapmap[i].append(j)
swapmap[j].append(i)
def dfs(s, vertex, chars, vertices):
chars.append(s[vertex])
vertices.append(vertex)
visited.add(vertex)
for neighbor in swapmap[vertex]:
if neighbor not in visited:
dfs(s, neighbor, chars, vertices)
output = [''] * len(s)
visited = set()
for vertex, _ in enumerate(s):
if vertex not in visited:
connected_chars = []
connected_vertices = []
dfs(s, vertex, connected_chars, connected_vertices)
# This might seem confusing but remember that if we find one character
# with the `vertex` connected (i.e swappable) with other characters, then
# they can all be swapped with each other infinite times. Our goal is to
# get the lexicographically smallest string (i.e most sorted) from doing
# these allowed swaps. Hence, we can go ahead and safely sort the chars
# obtained from DFS of vertex.
connected_chars.sort()
connected_vertices.sort()
for i, connected_vertex in enumerate(connected_vertices):
output[connected_vertex] = connected_chars[i]
return ''.join(output)

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@ -1,78 +0,0 @@
Table: `Users`
+---------------+---------+
| Column Name | Type |
+---------------+---------+
| id | int |
| name | varchar |
+---------------+---------+
id is the primary key for this table.
name is the name of the user.
Table: `Rides`
+---------------+---------+
| Column Name | Type |
+---------------+---------+
| id | int |
| user_id | int |
| distance | int |
+---------------+---------+
id is the primary key for this table.
user_id is the id of the user who traveled the distance "distance".
Write an SQL query to report the distance traveled by each user.
Return the result table ordered by `travelled_distance` in **descending order**, if two or more users traveled the same distance, order them by their `name` in **ascending order**.
The query result format is in the following example.
**Example 1:**
Input:
Users table:
+------+-----------+
| id | name |
+------+-----------+
| 1 | Alice |
| 2 | Bob |
| 3 | Alex |
| 4 | Donald |
| 7 | Lee |
| 13 | Jonathan |
| 19 | Elvis |
+------+-----------+
Rides table:
+------+----------+----------+
| id | user_id | distance |
+------+----------+----------+
| 1 | 1 | 120 |
| 2 | 2 | 317 |
| 3 | 3 | 222 |
| 4 | 7 | 100 |
| 5 | 13 | 312 |
| 6 | 19 | 50 |
| 7 | 7 | 120 |
| 8 | 19 | 400 |
| 9 | 7 | 230 |
+------+----------+----------+
Output:
+----------+--------------------+
| name | travelled_distance |
+----------+--------------------+
| Elvis | 450 |
| Lee | 450 |
| Bob | 317 |
| Jonathan | 312 |
| Alex | 222 |
| Alice | 120 |
| Donald | 0 |
+----------+--------------------+
Explanation:
Elvis and Lee traveled 450 miles, Elvis is the top traveler as his name is alphabetically smaller than Lee.
Bob, Jonathan, Alex, and Alice have only one ride and we just order them by the total distances of the ride.
Donald did not have any rides, the distance traveled by him is 0.
https://leetcode.com/problems/top-travellers/

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@ -1,6 +0,0 @@
# Write your MySQL query statement below
SELECT Users.name as name, COALESCE(SUM(distance), 0) as travelled_distance
FROM Users
LEFT JOIN Rides ON Users.id = Rides.user_id
GROUP BY Users.id
ORDER BY travelled_distance DESC, name ASC;