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In the d5q2.py file: Write a Python function called selectFunction. This function takes a matrix of integers (no need to check matrix received as a parameter after modifying it. The function modifies the same matrix received as a parameter, i.e. the original matrix will change as follows. The function tests if an element of the matrix is an even number, then it divides it by two. If the element is odd it keeps the element as it is. → You cannot create a new matrix. It is necessary to handle only one matrix in this function, which is the one received as a parameter. Write a second Python function called functionSelective2. It takes a matrix as a parameter and returns a tuple of two matrices. The first matrix of the tuple is the original matrix received as a parameter. The second matrix of the tuple is a new matrix. The new matrix contains the same values as the modified matrix returned by functionSelective, but without modifying the original matrix. In the d5p2.py file, in the main program: as a parameter. The function returns the same

In the d5q2.py file: Write a Python function called selectFunction. This function takes a matrix of integers (no need to check matrix received as a parameter after modifying it. The function modifies the same matrix received as a parameter, i.e. the original matrix will change as follows. The function tests if an element of the matrix is an even number, then it divides it by two. If the element is odd it keeps the element as it is. → You cannot create a new matrix. It is necessary to handle only one matrix in this function, which is the one received as a parameter. Write a second Python function called functionSelective2. It takes a matrix as a parameter and returns a tuple of two matrices. The first matrix of the tuple is the original matrix received as a parameter. The second matrix of the tuple is a new matrix. The new matrix contains the same values as the modified matrix returned by functionSelective, but without modifying the original matrix. In the d5p2.py file, in the main program: as a parameter. The function returns the same

Database System Concepts
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
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Question In the d5q2.py file: Write a Python function called selectFunction. This function takes a matrix of integers (no need to check it) as a parameter. The function returns the same matrix received as a parameter after modifying it. The function modifies the same matrix received as a parameter, i.e. the original matrix will change as follows. The function tests if an element of the matrix is an even number, then it divides it by two. If the element is odd it keeps the element as it is. → You cannot create a new matrix. It is necessary to handle only one matrix in this function, which is the one received as a parameter. Write a second Python function called functionSelective2. It takes a matrix as a parameter and returns a tuple of two matrices. The first matrix of the tuple is the original matrix received as a parameter. The second matrix of the tuple is a new matrix. The new matrix contains the same values as the modified matrix returned by functionSelective, but without modifying the original matrix. In the d5p2.py file, in the main program: 5- Import d5q2 that you have implemented (use import or from ... import). 6- Initialize a matrix, for example M1. 7- Make a copy of the elements of M1 in another matrix, for example M2, with a loop in a loop that goes through the elements (numbers) of M1 and adds them in M2. 8- Call the functionSelective by passing it M1 as a parameter, and display its return which is the modified matrix M1. 9- Then, call functionSelective2 with matrix M2 as parameter, and display the two matrices returned as result. Display the first matrix returned to verify that it is not changed and also the second matrix returned to verify that the contents are correct.
Transcribed Image Text:Question In the d5q2.py file: Write a Python function called selectFunction. This function takes a matrix of integers (no need to check it) as a parameter. The function returns the same matrix received as a parameter after modifying it. The function modifies the same matrix received as a parameter, i.e. the original matrix will change as follows. The function tests if an element of the matrix is an even number, then it divides it by two. If the element is odd it keeps the element as it is. → You cannot create a new matrix. It is necessary to handle only one matrix in this function, which is the one received as a parameter. Write a second Python function called functionSelective2. It takes a matrix as a parameter and returns a tuple of two matrices. The first matrix of the tuple is the original matrix received as a parameter. The second matrix of the tuple is a new matrix. The new matrix contains the same values as the modified matrix returned by functionSelective, but without modifying the original matrix. In the d5p2.py file, in the main program: 5- Import d5q2 that you have implemented (use import or from ... import). 6- Initialize a matrix, for example M1. 7- Make a copy of the elements of M1 in another matrix, for example M2, with a loop in a loop that goes through the elements (numbers) of M1 and adds them in M2. 8- Call the functionSelective by passing it M1 as a parameter, and display its return which is the modified matrix M1. 9- Then, call functionSelective2 with matrix M2 as parameter, and display the two matrices returned as result. Display the first matrix returned to verify that it is not changed and also the second matrix returned to verify that the contents are correct.
Example1: The matrix is: [[33, 20, 67], [8, 55, 90], [72, 38, 29]] After execution of functionSelective, the matrix is: [[33, 10, 67], [4, 55, 45], [36, 19, 29]] After execution of functionSelective2, the matrix initial is: [[33, 20, 67], [8, 55, 90], [72, 38, 29]] A new matrix created with functionSelective2: [[33, 10, 67], [4, 55, 45], [36, 19, 29]]
Transcribed Image Text:Example1: The matrix is: [[33, 20, 67], [8, 55, 90], [72, 38, 29]] After execution of functionSelective, the matrix is: [[33, 10, 67], [4, 55, 45], [36, 19, 29]] After execution of functionSelective2, the matrix initial is: [[33, 20, 67], [8, 55, 90], [72, 38, 29]] A new matrix created with functionSelective2: [[33, 10, 67], [4, 55, 45], [36, 19, 29]]
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