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---
title: '48. Rotate Image'
description: You are given an n x n 2D matrix representing an image, rotate the image by 90 degrees (clockwise)
sidebar:
label: 'Rotate Image'
badge: 'Medium'
---
<Badge variant="accent">Matrix Index Math</Badge>
### Example 1:
- Input: `matrix = [[1,2,3],[4,5,6],[7,8,9]]`
- Output: `[[7,4,1],[8,5,2],[9,6,3]]`
### Example 2:
- Input: `matrix = [[5,1,9,11],[2,4,8,10],[13,3,6,7],[15,14,12,16]]`
- Output: `[[15,13,2,5],[14,3,4,1],[12,6,8,9],[16,7,10,11]]`
### Constraints:
- `n == matrix.length == matrix[i].length`
- `1 <= n <= 20`
- `-1000 <= matrix[i][j] <= 1000`
## Solution
```py
class Solution:
def rotate(self, matrix: List[List[int]]) -> None:
n = len(matrix)
for r in range(n):
for c in range(r + 1, n):
matrix[r][c], matrix[c][r] = matrix[c][r], matrix[r][c]
for r in range(n):
matrix[r].reverse()
```
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---
title: '54. Spiral Matrix'
description: Given an m x n matrix, return all elements of the matrix in spiral order
sidebar:
label: 'Spiral Matrix'
badge: 'Medium'
---
<Badge variant="accent">Matrix Index Math</Badge>
### Example 1:
- Input: `matrix = [[1,2,3],[4,5,6],[7,8,9]]`
- Output: `[1,2,3,6,9,8,7,4,5]`
### Example 2:
- Input: `matrix = [[1,2,3,4],[5,6,7,8],[9,10,11,12]]`
- Output: `[1,2,3,4,8,12,11,10,9,5,6,7]`
### Constraints:
- `m == matrix.length`
- `n == matrix[i].length`
- `1 <= m, n <= 10`
- `-100 <= matrix[i][j] <= 100`
## Solution
```py
class Solution:
def spiralOrder(self, matrix: List[List[int]]) -> List[int]:
res = []
top, bottom = 0, len(matrix) - 1
left, right = 0, len(matrix[0]) - 1
while top <= bottom and left <= right:
# 1. Top Row
for c in range(left, right + 1):
res.append(matrix[top][c])
top += 1
# 2. Right Column
for r in range(top, bottom + 1):
res.append(matrix[r][right])
right -= 1
# 3. Bottom Row
if top <= bottom:
for c in range(right, left - 1, -1):
res.append(matrix[bottom][c])
bottom -= 1
# 4. Left Column
if left <= right:
for r in range(bottom, top - 1, -1):
res.append(matrix[r][left])
left += 1
return res
```
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---
title: '73. Set Matrix Zeroes'
description: Given an m x n integer matrix matrix, if an element is 0, set its entire row and column to 0's
sidebar:
label: 'Set Matrix Zeroes'
badge: 'Medium'
---
<Badge variant="accent">Matrix Index Math</Badge>
::::warning
You must do it in place.
::::
### Example 1:
- Input: `matrix = [[1,1,1],[1,0,1],[1,1,1]]`
- Output: `[[1,0,1],[0,0,0],[1,0,1]]`
### Example 2:
- Input: `matrix = [[0,1,2,0],[3,4,5,2],[1,3,1,5]]`
- Output: `[[0,0,0,0],[0,4,5,0],[0,3,1,0]]`
### Constraints:
- `m == matrix.length`
- `n == matrix[0].length`
- `1 <= m, n <= 200`
- `-2^31 <= matrix[i][j] <= 2^31 - 1`
- A straightforward solution using O(mn) space is probably a bad idea.
- A simple improvement uses O(m + n) space, but still not the best solution.
- Could you devise a constant space solution?
## Solution
```py
class Solution:
def setZeroes(self, matrix: List[List[int]]) -> None:
"""
Do not return anything, modify matrix in-place instead.
"""
m, n = len(matrix), len(matrix[0])
# 1. remember if row 0 or column 0 have their own zeros
row0_zero = any(matrix[0][c] == 0 for c in range(n))
col0_zero = any(matrix[r][0] == 0 for r in range(m))
# 2. use row 0 and column 0 as marker lists
for r in range(1, m):
for c in range(1, n):
if matrix[r][c] == 0:
matrix[r][0] = 0
matrix[0][c] = 0
# 3. zero the inner cells from the markers
for r in range(1, m):
for c in range(1, n):
if matrix[r][0] == 0 or matrix[0][c] == 0:
matrix[r][c] = 0
# 4. handle row 0 and column 0 last
if row0_zero:
for c in range(n):
matrix[0][c] = 0
if col0_zero:
for r in range(m):
matrix[r][0] = 0
```
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---
title: '2. Add Two Numbers'
description: You are given two non-empty linked lists representing two non-negative integers. The digits are stored in reverse order, and each of their nodes contains a single digit. Add the two numbers and return the sum as a linked list
sidebar:
label: 'Add Two Numbers'
badge: 'Medium'
---
<Badge variant="accent">Hybrid Structures</Badge>
### Example 1:
- Input: `l1 = [2,4,3], l2 = [5,6,4]`
- Output: `[7,0,8]`
- Explanation: `342 + 465 = 807`.
### Example 2:
- Input: `l1 = [0], l2 = [0]`
- Output: `[0]`
### Example 3:
- Input: `l1 = [9,9,9,9,9,9,9], l2 = [9,9,9,9]`
- Output: `[8,9,9,9,0,0,0,1]`
### Constraints:
- The number of nodes in each linked list is in the range [1, 100].
- `0 <= Node.val <= 9`
- It is guaranteed that the list represents a number that does not have leading zeros.
## Solution
```py
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, val=0, next=None):
# self.val = val
# self.next = next
class Solution:
def addTwoNumbers(
self, l1: Optional[ListNode], l2: Optional[ListNode]
) -> Optional[ListNode]:
dummy = ListNode()
carry = 0
curr = dummy
while l1 or l2 or carry:
s = (l1.val if l1 else 0) + (l2.val if l2 else 0) + carry
carry, val = divmod(s, 10)
curr.next = ListNode(val)
curr = curr.next
l1 = l1.next if l1 else None
l2 = l2.next if l2 else None
return dummy.next
```
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"""
48. Rotate Image
Difficulty: Medium
https://leetcode.com/problems/rotate-image/
──────────────────────────────────────────────────
You are given an n x n 2D matrix representing an image, rotate the
image by 90 degrees (clockwise).
You have to rotate the image in-place, which means you have to modify
the input 2D matrix directly. DO NOT allocate another 2D matrix and do
the rotation.
Example 1:
Input: matrix = [[1,2,3],[4,5,6],[7,8,9]]
Output: [[7,4,1],[8,5,2],[9,6,3]]
Example 2:
Input: matrix = [[5,1,9,11],[2,4,8,10],[13,3,6,7],[15,14,12,16]]
Output: [[15,13,2,5],[14,3,4,1],[12,6,8,9],[16,7,10,11]]
Constraints:
• n == matrix.length == matrix[i].length
• 1 <= n <= 20
• -1000 <= matrix[i][j] <= 1000
"""
class Solution:
def rotate(self, matrix: List[List[int]]) -> None:
n = len(matrix)
for r in range(n):
for c in range(r + 1, n):
matrix[r][c], matrix[c][r] = matrix[c][r], matrix[r][c]
for r in range(n):
matrix[r].reverse()
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"""
54. Spiral Matrix
Difficulty: Medium
https://leetcode.com/problems/spiral-matrix/
──────────────────────────────────────────────────
Given an m x n matrix, return all elements of the matrix in spiral
order.
Example 1:
Input: matrix = [[1,2,3],[4,5,6],[7,8,9]]
Output: [1,2,3,6,9,8,7,4,5]
Example 2:
Input: matrix = [[1,2,3,4],[5,6,7,8],[9,10,11,12]]
Output: [1,2,3,4,8,12,11,10,9,5,6,7]
Constraints:
• m == matrix.length
• n == matrix[i].length
• 1 <= m, n <= 10
• -100 <= matrix[i][j] <= 100
"""
class Solution:
def spiralOrder(self, matrix: List[List[int]]) -> List[int]:
res = []
top, bottom = 0, len(matrix) - 1
left, right = 0, len(matrix[0]) - 1
while top <= bottom and left <= right:
# 1. Top Row
for c in range(left, right + 1):
res.append(matrix[top][c])
top += 1
# 2. Right Column
for r in range(top, bottom + 1):
res.append(matrix[r][right])
right -= 1
# 3. Bottom Row
if top <= bottom:
for c in range(right, left - 1, -1):
res.append(matrix[bottom][c])
bottom -= 1
# 4. Left Column
if left <= right:
for r in range(bottom, top - 1, -1):
res.append(matrix[r][left])
left += 1
return res
@@ -0,0 +1,81 @@
"""
73. Set Matrix Zeroes
Difficulty: Medium
https://leetcode.com/problems/set-matrix-zeroes/
──────────────────────────────────────────────────
Given an m x n integer matrix matrix, if an element is 0, set its
entire row and column to 0's.
You must do it in place.
Example 1:
Input: matrix = [[1,1,1],[1,0,1],[1,1,1]]
Output: [[1,0,1],[0,0,0],[1,0,1]]
Example 2:
Input: matrix = [[0,1,2,0],[3,4,5,2],[1,3,1,5]]
Output: [[0,0,0,0],[0,4,5,0],[0,3,1,0]]
Constraints:
• m == matrix.length
• n == matrix[0].length
• 1 <= m, n <= 200
• -2^31 <= matrix[i][j] <= 2^31 - 1
Follow up:
• A straightforward solution using O(mn) space is probably a bad
idea.
• A simple improvement uses O(m + n) space, but still not the best
solution.
• Could you devise a constant space solution?
"""
class Solution:
def setZeroes(self, matrix: List[List[int]]) -> None:
"""
Do not return anything, modify matrix in-place instead.
"""
m, n = len(matrix), len(matrix[0])
# 1. remember if row 0 or column 0 have their own zeros
row0_zero = any(matrix[0][c] == 0 for c in range(n))
col0_zero = any(matrix[r][0] == 0 for r in range(m))
# 2. use row 0 and column 0 as marker lists
for r in range(1, m):
for c in range(1, n):
if matrix[r][c] == 0:
matrix[r][0] = 0
matrix[0][c] = 0
# 3. zero the inner cells from the markers
for r in range(1, m):
for c in range(1, n):
if matrix[r][0] == 0 or matrix[0][c] == 0:
matrix[r][c] = 0
# 4. handle row 0 and column 0 last
if row0_zero:
for c in range(n):
matrix[0][c] = 0
if col0_zero:
for r in range(m):
matrix[r][0] = 0
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@@ -53,9 +53,18 @@ class Solution:
def addTwoNumbers( def addTwoNumbers(
self, l1: Optional[ListNode], l2: Optional[ListNode] self, l1: Optional[ListNode], l2: Optional[ListNode]
) -> Optional[ListNode]: ) -> Optional[ListNode]:
head = ListNode()
dummy = ListNode()
carry = 0 carry = 0
l1curr = head curr = dummy
l2curr = head while l1 or l2 or carry:
while head: s = (l1.val if l1 else 0) + (l2.val if l2 else 0) + carry
l1.val + l2.val carry, val = divmod(s, 10)
curr.next = ListNode(val)
curr = curr.next
l1 = l1.next if l1 else None
l2 = l2.next if l2 else None
return dummy.next
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"""
49. Group Anagrams
Difficulty: Medium
https://leetcode.com/problems/group-anagrams/
──────────────────────────────────────────────────
Given an array of strings strs, group the anagrams together. You can
return the answer in any order.
Example 1:
Input: strs = ["eat","tea","tan","ate","nat","bat"]
Output: [["bat"],["nat","tan"],["ate","eat","tea"]]
Explanation:
• There is no string in strs that can be rearranged to form "bat".
• The strings "nat" and "tan" are anagrams as they can be rearranged
to form each other.
• The strings "ate", "eat", and "tea" are anagrams as they can be
rearranged to form each other.
Example 2:
Input: strs = [""]
Output: [[""]]
Example 3:
Input: strs = ["a"]
Output: [["a"]]
Constraints:
• 1 <= strs.length <= 10^4
• 0 <= strs[i].length <= 100
• strs[i] consists of lowercase English letters.
"""
from collections import defaultdict
class Solution:
def groupAnagrams(self, strs: List[str]) -> List[List[str]]:
if not strs:
return strs
res = defaultdict(list)
for s in strs:
count = [0] * 26
for c in s:
count[ord(c) - ord("a")] += 1
res[tuple(count)].append(s)
return res.values()