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feat(work): add Word Ladder and Rotting Oranges solutions
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"""
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127. Word Ladder
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Difficulty: Hard
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https://leetcode.com/problems/word-ladder/
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──────────────────────────────────────────────────
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A transformation sequence from word beginWord to word endWord using a
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dictionary wordList is a sequence of words beginWord -> s1 -> s2 ->
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... -> sk such that:
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• Every adjacent pair of words differs by a single letter.
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• Every si for 1 <= i <= k is in wordList. Note that beginWord does
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not need to be in wordList.
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• sk == endWord
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Given two words, beginWord and endWord, and a dictionary wordList,
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return the number of words in the shortest transformation sequence
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from beginWord to endWord, or 0 if no such sequence exists.
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Example 1:
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Input: beginWord = "hit", endWord = "cog", wordList =
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["hot","dot","dog","lot","log","cog"]
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Output: 5
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Explanation: One shortest transformation sequence is "hit" -> "hot"
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-> "dot" -> "dog" -> cog", which is 5 words long.
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Example 2:
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Input: beginWord = "hit", endWord = "cog", wordList =
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["hot","dot","dog","lot","log"]
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Output: 0
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Explanation: The endWord "cog" is not in wordList, therefore there is
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no valid transformation sequence.
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Constraints:
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• 1 <= beginWord.length <= 10
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• endWord.length == beginWord.length
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• 1 <= wordList.length <= 5000
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• wordList[i].length == beginWord.length
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• beginWord, endWord, and wordList[i] consist of lowercase English
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letters.
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• beginWord != endWord
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• All the words in wordList are unique.
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"""
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import collections
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class Solution:
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def ladderLength(self, beginWord: str, endWord: str, wordList: list[str]) -> int:
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if endWord not in wordList:
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return 0
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adj = collections.defaultdict(list)
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wordList.append(beginWord)
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for word in wordList:
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for j in range(len(word)):
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pattern = word[:j] + "*" + word[j + 1 :]
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adj[pattern].append(word)
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visit = set([beginWord])
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q = collections.deque([beginWord])
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res = 1
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while q:
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for i in range(len(q)):
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word = q.popleft()
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if word == endWord:
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return res
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for j in range(len(word)):
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pattern = word[:j] + "*" + word[j + 1 :]
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for adjWord in adj[pattern]:
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if adjWord not in visit:
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visit.add(adjWord)
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q.append(adjWord)
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res += 1
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return 0
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"""
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994. Rotting Oranges
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Difficulty: Medium
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https://leetcode.com/problems/rotting-oranges/
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──────────────────────────────────────────────────
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You are given an m x n grid where each cell can have one of three
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values:
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• 0 representing an empty cell,
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• 1 representing a fresh orange, or
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• 2 representing a rotten orange.
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Every minute, any fresh orange that is 4-directionally adjacent to a
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rotten orange becomes rotten.
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Return the minimum number of minutes that must elapse until no cell
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has a fresh orange. If this is impossible, return -1.
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Example 1:
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Input: grid = [[2,1,1],[1,1,0],[0,1,1]]
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Output: 4
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Example 2:
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Input: grid = [[2,1,1],[0,1,1],[1,0,1]]
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Output: -1
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Explanation: The orange in the bottom left corner (row 2, column 0)
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is never rotten, because rotting only happens 4-directionally.
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Example 3:
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Input: grid = [[0,2]]
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Output: 0
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Explanation: Since there are already no fresh oranges at minute 0,
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the answer is just 0.
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Constraints:
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• m == grid.length
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• n == grid[i].length
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• 1 <= m, n <= 10
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• grid[i][j] is 0, 1, or 2.
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"""
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from collections import deque
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class Solution:
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def orangesRotting(self, grid: list[list[int]]) -> int:
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q = deque()
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time, fresh = 0, 0
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rows, cols = len(grid), len(grid[0])
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for r in range(rows):
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for c in range(cols):
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if grid[r][c] == 1:
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fresh += 1
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if grid[r][c] == 2:
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q.append([r, c])
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directions = [[0, 1], [0, -1], [1, 0], [-1, 0]]
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while q and fresh > 0:
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for i in range(len(q)):
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r, c = q.popleft()
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for dr, dc in directions:
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row, col = dr + r, dc + c
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# check if in bounds
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if (
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row < 0
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or col < 0
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or row == len(grid)
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or col == len(grid[0])
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or grid[row][col] != 1
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):
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continue
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grid[row][col] = 2
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q.append([row, col])
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fresh -= 1
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time += 1
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return time if fresh == 0 else -1
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