def mat_desc(mat): sq - False mat - np. array(mat) print (mat) print('Shape:', mat.shape) print('Size:', mat.size) print ( 'Rank:', np.linalg.matrix_rank(mat)) if(mat.shape[0] =- mat.shape[1]): sq - True print('The matrix is square') else: print('The matrix is non-square') if (mat.shape[ 0] == 0 and mat.shape[1] =- 0): print('The matrix is empty') else: print('The matrix is not empty') iden - np.identity(mat.shape(0]) if (sq and (iden == mat).all()): print('The matrix is an identity matrix') else: print('The matrix is not an identity matrix' ) one - np.ones ((mat.shape[0], mat.shape[1])) if((one - mat).all()): print ('The matrix is an ones matrix') else: print ('The matrix is not an ones matrix') zero - np.zeros ( (mat.shape [0], mat.shape[1])) if((zero -- mat).all()): print('The matrix is an zeros matrix') else: print('The matrix is not a zeros matrix') G - np. array ( (1,7,8], (2,2,2], (4,6,7] mat_desc (G)
def mat_desc(mat): sq - False mat - np. array(mat) print (mat) print('Shape:', mat.shape) print('Size:', mat.size) print ( 'Rank:', np.linalg.matrix_rank(mat)) if(mat.shape[0] =- mat.shape[1]): sq - True print('The matrix is square') else: print('The matrix is non-square') if (mat.shape[ 0] == 0 and mat.shape[1] =- 0): print('The matrix is empty') else: print('The matrix is not empty') iden - np.identity(mat.shape(0]) if (sq and (iden == mat).all()): print('The matrix is an identity matrix') else: print('The matrix is not an identity matrix' ) one - np.ones ((mat.shape[0], mat.shape[1])) if((one - mat).all()): print ('The matrix is an ones matrix') else: print ('The matrix is not an ones matrix') zero - np.zeros ( (mat.shape [0], mat.shape[1])) if((zero -- mat).all()): print('The matrix is an zeros matrix') else: print('The matrix is not a zeros matrix') G - np. array ( (1,7,8], (2,2,2], (4,6,7] mat_desc (G)
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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Question
CREATE A FLOWCHART WITH THE GIVEN CODES BELOW
![def mat_desc (mat):
sq - False
mat = np.array (mat)
print (mat)
print ('Shape:', mat.shape)
print ('Size:', mat.size)
print ('Rank:', np.linalg.matrix_rank(mat))
if (mat.shape[0] == mat.shape[1]):
sq - True
print('The matrix is square')
else:
print('The matrix is non-square')
if (mat.shape[0] == 0 and mat.shape[1] == 0):
print('The matrix is empty')
else:
print('The matrix is not empty')
iden = np.identity(mat.shape[0])
if(sq and (iden
print('The matrix is an identity matrix')
mat).all()):
else:
print('The matrix is not an identity matrix')
one = np.ones ( (mat.shape[0], mat.shape[1]))
if((one =- mat).all()):
print ('The matrix is an ones matrix')
else:
print ('The matrix is not an ones matrix')
zero = np.zeros ( (mat.shape[0], mat.shape[1] ))
if((zero == mat).all()):
print('The matrix is an zeros matrix')
else:
print('The matrix is not a zeros matrix')
G - np. array (I
[1,7,8],
[2,2,2],
[4,6,7]
])
mat_desc (G)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F669d4a79-2169-42a9-b2ae-e9252928d27f%2Fdf80ae84-2a93-4bb7-9862-84d9c297928d%2Ftnda9x_processed.png&w=3840&q=75)
Transcribed Image Text:def mat_desc (mat):
sq - False
mat = np.array (mat)
print (mat)
print ('Shape:', mat.shape)
print ('Size:', mat.size)
print ('Rank:', np.linalg.matrix_rank(mat))
if (mat.shape[0] == mat.shape[1]):
sq - True
print('The matrix is square')
else:
print('The matrix is non-square')
if (mat.shape[0] == 0 and mat.shape[1] == 0):
print('The matrix is empty')
else:
print('The matrix is not empty')
iden = np.identity(mat.shape[0])
if(sq and (iden
print('The matrix is an identity matrix')
mat).all()):
else:
print('The matrix is not an identity matrix')
one = np.ones ( (mat.shape[0], mat.shape[1]))
if((one =- mat).all()):
print ('The matrix is an ones matrix')
else:
print ('The matrix is not an ones matrix')
zero = np.zeros ( (mat.shape[0], mat.shape[1] ))
if((zero == mat).all()):
print('The matrix is an zeros matrix')
else:
print('The matrix is not a zeros matrix')
G - np. array (I
[1,7,8],
[2,2,2],
[4,6,7]
])
mat_desc (G)
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