# 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.

```
def rotate(self, matrix: List[List[int]]) -> None:
"""
Do not return anything, modify matrix in-place instead.
"""
n = len(matrix)
# iterate through matrix
for i in range(n):
for j in range(i,n):
# transpose the matrix, turning rows into columns and vice versa
matrix[i][j],matrix[j][i] = matrix[j][i],matrix[i][j]
# reverse the resulting rows
matrix[i].reverse()
```

## Related Problems

Given a function fn, return a **curried** version of that function.

A **curried** function is a function that accepts fewer or an equal number of parameters as the original function and returns either another **curried** function or the same value the original function would have returned.

In practical terms, if you called the original function like sum(1,2,3), you would call the **curried** version like csum(1)(2)(3), csum(1)(2,3), csum(1,2)(3), or csum(1,2,3). All these methods of calling the **curried** function should return the same value as the original.

Given an object, return a valid JSON string of that object. You may assume the object only inludes strings, integers, arrays, objects, booleans, and null. The returned string should not include extra spaces. The order of keys should be the same as the order returned by Object.keys().

Please solve it without using the built-in JSON.stringify method.

Given an array of integers nums containing n + 1 integers where each integer is in the range [1, n] inclusive.

There is only **one repeated number** in nums, return *this repeated number*.

You must solve the problem **without** modifying the array nums and uses only constant extra space.

The Hamming Distance between two integers is the number of positions at which the corresponding bits are different.

Given two integers x and y, return *the ***Hamming distance*** between them*.