Answer questions about this code below. Assume img is an image (i.e. 2D list of tuples).img wimg_h-width (img)height (img)magic-img_w // 2for i in range (magic, img_w):= img h - 1while j>- 0:tmp- img][img w-i-11img11[img w-1-11- img [111]img11[1] tmp1-1Q14.1Does this code try to do operations around a vertical axis or horizontal axis?Vertical axisO Horizontal axis Q14.2 Image mirroring and flippingWhat effect does this code achieve?O Copies top half into the bottom half, not mirrored exactly though.O Copies left half into the right half, not mirrored exactly though.Mirrors around a vertical axis left into right in a column-major formMirrors around a vertical axis right into left in a row-major formFlips around a vertical axis left into right in a row-major formO Flips around a vertical axis, right into left in a column-major formMirrors around a horizontal axis, top into the bottom in a row-major formMirrors around a horizontal axis, bottom into the top in a column-major formIf the width is even, it flips around a vertical axis, left to right. If the width is odd, it won't flipproperly.O If the width is even, it flips around a vertical axis, right to left. If the width is odd, it won't flipproperly.None of the given choices is correct

We're tasked with deciphering a code snippet to determine if its operations focus on a vertical or…

Answer questions about this code below. Assume img is an image (i.e. 2D list of tuples). img_w-width (img) img h height (img) magic-img_w // 2 for i in range (magic, img_w): img_h-1 while > 0: tmp- img][img w-1-11 Q14.1 img11[img w-1-11 img[1][1] img11[1] tmp Does this code try to do operations around a vertical axis or horizontal axis? O Vertical axis Horizontal axis

Answer questions about this code below. Assume img is an image (i.e. 2D list of tuples). img_w-width (img) img h height (img) magic-img_w // 2 for i in range (magic, img_w): img_h-1 while > 0: tmp- img][img w-1-11 Q14.1 img11[img w-1-11 img[1][1] img11[1] tmp Does this code try to do operations around a vertical axis or horizontal axis? O Vertical axis Horizontal axis

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Concept explainers

Randomized Select Algorithm

A randomized algorithm is defined as one that uses a certain amount of randomization in its logic or operation. It is said to be an algorithm that depends on the random number to perform its operation. It is used for reducing the overall time complexity, space complexity in the standard algorithm. The randomized algorithm uses the concept of random numbers to find the solutions to the different kinds of problems and also to improve the problem solutions.

Question

Q14.2 Image mirroring and flipping
What effect does this code achieve?
O Copies top half into the bottom half, not mirrored exactly though.
O Copies left half into the right half, not mirrored exactly though.
Mirrors around a vertical axis left into right in a column-major form
Mirrors around a vertical axis right into left in a row-major form
Flips around a vertical axis left into right in a row-major form
O Flips around a vertical axis, right into left in a column-major form
Mirrors around a horizontal axis, top into the bottom in a row-major form
Mirrors around a horizontal axis, bottom into the top in a column-major form
If the width is even, it flips around a vertical axis, left to right. If the width is odd, it won't flip
properly.
O If the width is even, it flips around a vertical axis, right to left. If the width is odd, it won't flip
properly.
None of the given choices is correct

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# pyspark # picture attached Given a decomposed separable filter: ⎡⎣⎢⎢121⎤⎦⎥⎥ * [−101] ⎣⎢⎡121⎦⎥⎤∗[−101] and part of an image: ⎡⎣⎢⎢115124170656067120100114103898710111075⎤⎦⎥⎥ ⎣⎢⎡115124170656067120100114103898710111075⎦⎥⎤ Apply this filter to an image (to 3 consecutive pixels with stride 1 and no padding). Find $\max(r) - \min(r)$, difference between maximum and minimum values of a filtered image
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