A sloppy Python programmer wrote the following code, which is supposed to check whether a system of linear equations is solvable, and calculate and print the solution if it is. As you will notice, the code contains syntax and/or logical errors. Select all lines that exhibit errors. import numpy as np: # solve the linear system A x = b for x A = np.array([[1-1] [2 2 0] [3 -1 1]]) ☐ b = np.linspace (-1, 1, 3) O if A.trace() != 0: x = np. linalg.solve(A, b) print (f"x = {x}")
A sloppy Python programmer wrote the following code, which is supposed to check whether a system of linear equations is solvable, and calculate and print the solution if it is. As you will notice, the code contains syntax and/or logical errors. Select all lines that exhibit errors. import numpy as np: # solve the linear system A x = b for x A = np.array([[1-1] [2 2 0] [3 -1 1]]) ☐ b = np.linspace (-1, 1, 3) O if A.trace() != 0: x = np. linalg.solve(A, b) print (f"x = {x}")
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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![A sloppy Python programmer wrote the following code, which is supposed to check whether a
system of linear equations is solvable, and calculate and print the solution if it is.
As you will notice, the code contains syntax and/or logical errors. Select all lines that exhibit errors.
import numpy as np:
# solve the linear system A x = b for x
A = np.array([[1-1] [2 2 0] [3 -1 1]])
☐ b = np.linspace (-1, 1, 3)
O if A.trace() != 0:
x = np. linalg.solve(A, b)
print (f"x = {x}")](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5cd65f5e-cd9b-4ebd-8782-d68ac507cfe7%2F65044a69-6075-4e3d-9089-ea332b7941d8%2Fx62obph_processed.jpeg&w=3840&q=75)
Transcribed Image Text:A sloppy Python programmer wrote the following code, which is supposed to check whether a
system of linear equations is solvable, and calculate and print the solution if it is.
As you will notice, the code contains syntax and/or logical errors. Select all lines that exhibit errors.
import numpy as np:
# solve the linear system A x = b for x
A = np.array([[1-1] [2 2 0] [3 -1 1]])
☐ b = np.linspace (-1, 1, 3)
O if A.trace() != 0:
x = np. linalg.solve(A, b)
print (f"x = {x}")
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