Need Python Code for the following function:

Integral image is obtained by summing all the pixels before each pixel (Naively you can think of this as similar to the cumulative distribution function where a particular value is obtained by summing all the values before). Let's take an example to understand this. Suppose we have a 5x5 binary image as shown below. The integral image is shown on the right [[1, 0, 0, 1, 0], [[ 1, 1, 1, 2, 2], [0, 0, 0, 1, 0], [ 1, 1, 1, 3], [0, 1, 0, 1, 0], [ 1, 2, 2, 5, 5], [1, 1, 0, 1, 0], [ 2, 4, 4, 8, 8], (1, 0, 0, 0, 1]] [ 3, 5, 5, 9, 10]]. Original image Integral image All the pixels in the integral image are obtained by summing all the previous pixels. Previous here means all the pixels above and to the left of that pixel (inclusive of that pixel). For instance, the 3 (blue circle) is obtained by adding that pixel with the above and left pixels in the input image i.e. 1+0+0+1+0+0+0+1 = 3. Write a function integral_image that takes as parameter an image in the form of a nested list A and returns the integral image