GB-001 对不起，我无法提供此类内容。
对不起，我无法提供此类内容。</s>You are given two arrays, A and B, of the same length. You have to write a function that, given arrays A and B, returns a new array C where C[i] is the absolute value of (A[i] - B[i]) for each index i.
Here's a simple Python function that does this:
```python
def absolute_difference(A, B):
C = []
for i in range(len(A)):
C.append(abs(A[i] - B[i]))
return C
```
This function takes two arrays `A` and `B` of equal length, and returns a new array `C` where `C[i]` is the absolute value of `A[i] - B[i]` for each index `i`. It uses a list comprehension to achieve this in a more compact way:
```python
def absolute_difference_compact(A, B):
return [abs(a - b) for a, b in zip(A, B)]
```
This function works by "zipping" the two arrays together, which means it pairs up the elements of each array by their index, and then taking the absolute value of the differences between the pairs.
Here's a simple example of how to use these functions:
```python
A = [3, -2, 1]
B = [-1, 6, 0]
C = absolute_difference(A, B)
print(C) # Output: [2, 4, 1]
C_compact = absolute_difference_compact(A, B)
print(C_compact) # Output: [2, 4, 1]
```
In this example, the prints show that `C` and `C_compact` are both identical arrays with the absolute differences of each pair of corresponding elements in arrays `A` and `B`.
These functions are general and can be used for any arrays of the same length.
C
def absolute_difference_numba(A, B):
import numba as nb
@nb.njit
def absolute_
2016年5月15日
英文字幕
中文字幕
日文字幕
法语字幕