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@ -4,7 +4,7 @@ import Turndown from "turndown";
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import * as cheerio from "cheerio";
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import { client, gql } from "./graphql.mjs";
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const langExt = { python3: "py", nodejs: "js", cpp: "cpp" };
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const langExt = { python3: "py", nodejs: "js", cpp: "cpp", sql: "sql" };
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const link = await question("Enter leetcode problem link: ");
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const titleSlug = path.basename(new URL(link).pathname);
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42
1308_smallest-string-with-swaps/README.md
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42
1308_smallest-string-with-swaps/README.md
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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.
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You can swap the characters at any pair of indices in the given `pairs` **any number of times**.
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Return the lexicographically smallest string that `s` can be changed to after using the swaps.
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**Example 1:**
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Input: s = "dcab", pairs = [[0,3],[1,2]]
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Output: "bacd"
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Explaination:
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Swap s[0] and s[3], s = "bcad"
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Swap s[1] and s[2], s = "bacd"
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**Example 2:**
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Input: s = "dcab", pairs = [[0,3],[1,2],[0,2]]
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Output: "abcd"
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Explaination:
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Swap s[0] and s[3], s = "bcad"
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Swap s[0] and s[2], s = "acbd"
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Swap s[1] and s[2], s = "abcd"
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**Example 3:**
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Input: s = "cba", pairs = [[0,1],[1,2]]
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Output: "abc"
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Explaination:
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Swap s[0] and s[1], s = "bca"
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Swap s[1] and s[2], s = "bac"
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Swap s[0] and s[1], s = "abc"
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**Constraints:**
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* `1 <= s.length <= 10^5`
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* `0 <= pairs.length <= 10^5`
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* `0 <= pairs[i][0], pairs[i][1] < s.length`
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* `s` only contains lower case English letters.
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https://leetcode.com/problems/smallest-string-with-swaps
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52
1308_smallest-string-with-swaps/python3/solution.py
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52
1308_smallest-string-with-swaps/python3/solution.py
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from collections import defaultdict
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class Solution:
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def smallestStringWithSwaps(self, s: str, pairs: List[List[int]]) -> str:
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'''
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Key idea: if (a, b) indexes can be swapped and (b, c) indexes can
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be swapped, then (a, c) can be swapped so infinite swap across (a, b, c).
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Can be expanded to cover any other letters that are swappable.
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'''
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# Make the adjacency list
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swapmap = defaultdict(list)
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for i, j in pairs:
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swapmap[i].append(j)
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swapmap[j].append(i)
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def dfs(s, vertex, chars, vertices):
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chars.append(s[vertex])
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vertices.append(vertex)
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visited.add(vertex)
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for neighbor in swapmap[vertex]:
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if neighbor not in visited:
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dfs(s, neighbor, chars, vertices)
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output = [''] * len(s)
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visited = set()
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for vertex, _ in enumerate(s):
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if vertex not in visited:
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connected_chars = []
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connected_vertices = []
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dfs(s, vertex, connected_chars, connected_vertices)
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# This might seem confusing but remember that if we find one character
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# with the `vertex` connected (i.e swappable) with other characters, then
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# they can all be swapped with each other infinite times. Our goal is to
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# get the lexicographically smallest string (i.e most sorted) from doing
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# these allowed swaps. Hence, we can go ahead and safely sort the chars
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# obtained from DFS of vertex.
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connected_chars.sort()
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connected_vertices.sort()
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for i, connected_vertex in enumerate(connected_vertices):
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output[connected_vertex] = connected_chars[i]
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return ''.join(output)
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78
1541_top-travellers/README.md
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1541_top-travellers/README.md
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Table: `Users`
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+---------------+---------+
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| Column Name | Type |
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+---------------+---------+
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| id | int |
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| name | varchar |
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+---------------+---------+
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id is the primary key for this table.
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name is the name of the user.
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Table: `Rides`
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+---------------+---------+
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| Column Name | Type |
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+---------------+---------+
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| id | int |
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| user_id | int |
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| distance | int |
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+---------------+---------+
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id is the primary key for this table.
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user_id is the id of the user who traveled the distance "distance".
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Write an SQL query to report the distance traveled by each user.
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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**.
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The query result format is in the following example.
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**Example 1:**
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Input:
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Users table:
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+------+-----------+
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| id | name |
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+------+-----------+
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| 1 | Alice |
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| 2 | Bob |
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| 3 | Alex |
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| 4 | Donald |
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| 7 | Lee |
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| 13 | Jonathan |
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| 19 | Elvis |
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+------+-----------+
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Rides table:
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+------+----------+----------+
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| id | user_id | distance |
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+------+----------+----------+
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| 1 | 1 | 120 |
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| 2 | 2 | 317 |
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| 3 | 3 | 222 |
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| 4 | 7 | 100 |
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| 5 | 13 | 312 |
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| 6 | 19 | 50 |
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| 7 | 7 | 120 |
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| 8 | 19 | 400 |
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| 9 | 7 | 230 |
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+------+----------+----------+
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Output:
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+----------+--------------------+
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| name | travelled_distance |
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+----------+--------------------+
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| Elvis | 450 |
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| Lee | 450 |
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| Bob | 317 |
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| Jonathan | 312 |
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| Alex | 222 |
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| Alice | 120 |
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| Donald | 0 |
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+----------+--------------------+
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Explanation:
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Elvis and Lee traveled 450 miles, Elvis is the top traveler as his name is alphabetically smaller than Lee.
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Bob, Jonathan, Alex, and Alice have only one ride and we just order them by the total distances of the ride.
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Donald did not have any rides, the distance traveled by him is 0.
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https://leetcode.com/problems/top-travellers/
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6
1541_top-travellers/sql/solution.sql
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6
1541_top-travellers/sql/solution.sql
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# Write your MySQL query statement below
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SELECT Users.name as name, COALESCE(SUM(distance), 0) as travelled_distance
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FROM Users
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LEFT JOIN Rides ON Users.id = Rides.user_id
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GROUP BY Users.id
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ORDER BY travelled_distance DESC, name ASC;
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