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rotate_quadrants

rotate_quadrants

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Next, you will be implementing the rotate_quadrants function, in which we will split the image into four equal sized quadrants, and rotate them clockwise. 12 1. 8 2₁ 8 (0, 2) (0, 6) 6. 2 (3, 2) → You may assume that the height and width of the image are even numbers, so that the image can be evenly divided into quadrants. Upper left quadrant: (x, y) • Upper right quadrant: (x + w/2, y) Lower right quadrant: (x + w/2, y +h/2) ● Lower left quadrant: (x, y + h/2) Hint: While you could break this up into four separate matrices, it's probably easier to think of this on a pixel-by-pixel basis. In particular, if the picture has height h and width w, and a pixel is at position (x, y) in the upper left quadrant, then the four pixels it needs to rotate with are: (3,6) 20 8 6. = For example, in the image below, width = 6 and height : 8. So the pixel at (0, 2) would rotate with the pixels at (0+3, 2), (0+3, 2+4), and (0, 2+4). That is: (3, 2), (3, 6), and (0, 6). (0, 2) 8 (0, 6) 12 8 (3, 2) (3,6)
Transcribed Image Text:Next, you will be implementing the rotate_quadrants function, in which we will split the image into four equal sized quadrants, and rotate them clockwise. 12 1. 8 2₁ 8 (0, 2) (0, 6) 6. 2 (3, 2) → You may assume that the height and width of the image are even numbers, so that the image can be evenly divided into quadrants. Upper left quadrant: (x, y) • Upper right quadrant: (x + w/2, y) Lower right quadrant: (x + w/2, y +h/2) ● Lower left quadrant: (x, y + h/2) Hint: While you could break this up into four separate matrices, it's probably easier to think of this on a pixel-by-pixel basis. In particular, if the picture has height h and width w, and a pixel is at position (x, y) in the upper left quadrant, then the four pixels it needs to rotate with are: (3,6) 20 8 6. = For example, in the image below, width = 6 and height : 8. So the pixel at (0, 2) would rotate with the pixels at (0+3, 2), (0+3, 2+4), and (0, 2+4). That is: (3, 2), (3, 6), and (0, 6). (0, 2) 8 (0, 6) 12 8 (3, 2) (3,6)
>>> rotate_quadrants([[[127, 127, 127], [0, 0, 0]], [[255, 255, 0], [50, 128, 255]], [[0, 0, 255], [0, 255, 0]], [[255, 0, 0], [255, 255, 255]]]) [[[0, 0, 255], [127, 127, 127]], [[255, 0, 0], [255, 255, 0]], [[0, 255, 0], [0, 0, 0]], [[255, 255, 255], [50, 128, 255]]] >>> rotate_quadrants( [[ [255, 0, 0], [255,153,0], [255,255,0],[255,204,51]], [[0, 255, 0], [0,255,255], [50, 128, 255], [255,204,51]], [ [0, 0, 255], [153,0,255], [255,0,255], [255, 204,51]], [ [0, 0, 0], [255, 204,51], [122,0,25], [122,0,25]], [[255, 204,51], [122,0,25], [122,0,25], [122,0,25] ], [ [122,0,25], [122,0,25], [122,0,25], [122,0,25]], [ [122,0,25], [122,0,25], [122,0,25], [122,0,25]], [ [122,0,25], [122,0,25], [122,0,25], [122,0,25] ]]) [[[255, 204,51], [122,0,25], [255, 0, 0], [255,153,0]], [ [122,0,25], [122,0,25], [0, 255, 0], [0, 255, 255]], [ [122,0,25], [122,0,25], [0, 0, 255], [153,0,255]], [ [122,0,25], [122,0,25], 0], [255, 204,51]], [ [122,0,25], [122,0,25] | [255,255,0], [255, 204,51]], [ [122,0,25], [122,0,25] ,[50, 128, 255], [255, 204,51]], [ [122,0,25], [122,0,25], [255,0,255], [255, 204,51]], [ [122,0,25], [122,0,25], [122,0,25], [122,0,25] ]] [0, 0,
Transcribed Image Text:>>> rotate_quadrants([[[127, 127, 127], [0, 0, 0]], [[255, 255, 0], [50, 128, 255]], [[0, 0, 255], [0, 255, 0]], [[255, 0, 0], [255, 255, 255]]]) [[[0, 0, 255], [127, 127, 127]], [[255, 0, 0], [255, 255, 0]], [[0, 255, 0], [0, 0, 0]], [[255, 255, 255], [50, 128, 255]]] >>> rotate_quadrants( [[ [255, 0, 0], [255,153,0], [255,255,0],[255,204,51]], [[0, 255, 0], [0,255,255], [50, 128, 255], [255,204,51]], [ [0, 0, 255], [153,0,255], [255,0,255], [255, 204,51]], [ [0, 0, 0], [255, 204,51], [122,0,25], [122,0,25]], [[255, 204,51], [122,0,25], [122,0,25], [122,0,25] ], [ [122,0,25], [122,0,25], [122,0,25], [122,0,25]], [ [122,0,25], [122,0,25], [122,0,25], [122,0,25]], [ [122,0,25], [122,0,25], [122,0,25], [122,0,25] ]]) [[[255, 204,51], [122,0,25], [255, 0, 0], [255,153,0]], [ [122,0,25], [122,0,25], [0, 255, 0], [0, 255, 255]], [ [122,0,25], [122,0,25], [0, 0, 255], [153,0,255]], [ [122,0,25], [122,0,25], 0], [255, 204,51]], [ [122,0,25], [122,0,25] | [255,255,0], [255, 204,51]], [ [122,0,25], [122,0,25] ,[50, 128, 255], [255, 204,51]], [ [122,0,25], [122,0,25], [255,0,255], [255, 204,51]], [ [122,0,25], [122,0,25], [122,0,25], [122,0,25] ]] [0, 0,
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