Write a function that counts how many concentric layers a rug has. Examples countLayers([ "AAAA", "ABBA", "AAAA" ])→2 countLayers([ "AAAAAAAAA", "ABBBBBBBA", "ABBAAABBA", "ABBBBBBBA", "AAAAAAAAA" ]) →3 (Ctrl)

The edge-detection function ( detectEdges ) described in Chapter 7 and shown below returns a black and white image. Think of a similar way to transform color values so that the new image is still in its original colors but the outlines within it are merely sharpened. def detectEdges(image, amount): ""'Builds and returns a new image in which the edges of the argument image are highlighted and the colors are reduced to black and white.""" def average(triple): (r, g, b) = triple return (r + g + b) // 3 (0, 0, 0) (255, 255, 255) blackPixel = whitePixel = new = image.clone() for y in range(image.getHeight() - 1): for x in range(1, image.getWidth()): image.getPixel(x, y) image.getPixel(x oldPixel = 1, y) leftPixel bottomPixel = image.getPixel(x, y + 1) oldLum = average(oldPixel) leftLum = average(leftPixel) bottomLum = average(bottomPixel) if abs(oldLum · abs (oldLum - bottomLum) > amount: new.setPixel(x, y, blackPixel) leftLum) > amount or \ else: new.setPixel(x, y, whitePixel) return new…

Computer science

A monochrome screen is stored as a single array of bytes, allowing eight consecutivepixels to be stored in one byte. The screen has width w, where w is divisible by 8 (that is, no byte willbe split across rows). The height of the screen, of course, can be derived from the length of the arrayand the width. Implement a function that draws a horizontal line from ( xl, y) to ( x2, y).The method signature should look something like:drawline(byte[] screen, int width, int xl, int x2, int y)

Define Constant Arrays as Formal Parameters.

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import numpy as np import torch import matplotlib.pyplot as plt Quiz Preparation Question 1. Write a function that generates a random tensor of n x n (n is the input). The output is the mean of the tensor. = 2, 4, 8, 16, ... 1024 and generate a vector 2. Write a code (for loop) that call that calls the function above with n = M(n). Plot the vector as a function of the log of n. 3. Given an n x m array write a code that replaces every element that is larger than 0.5 with 0.5. 4. The second derivative of a function can be approximated by the finite difference 1 ƒ"(x₂) = 73 (ƒ(£;+1) — 2ƒ(x;) + f(x;-1)) Given a vector f with values f = [f(xo),..., f(n) write a code that computes the approximation to f"(x) 5. The power method is a method to compute the largest eigenvalue of a matrix. Your google search is using this method every time you perform a google search. The method consists of the iteration Vj+1 = Av; || Avi|| where v; is a vector with chosen as a random vector, and A is the matrix…

Example in Java Create an array, access, update and process its elements