1 ????????: 2 Implement the design of the Laptop class so that the following output is 3 produced: 4 [Your code should work for any number of features added in the add_Features 5 method] 6 7 # Write your code here 8# Do not change the following lines of code. 19 10 print("No. of Laptop=", Laptop.count) 11 11 = Laptop('Macbook Pro', 2021) 12 11.add_Features ('Apple M1 Chip' 13 12 = Laptop('Razer Blade Pro 17, 2020) 14 12.add_Features('Intel Core i7-10875H EPU, 15 13 = Laptop('HP SPECTRE X360 14, 2021) 16 13.add Features ('512GB PCIe NVMe SSD 17 print("==== ===") 18 11.printLaptopDetail() 19 print("=== ====") 2012.printLaptopDetail() 21 print(" ======"). 22 13.printLaptopDetail() 23 print("==== =========") 24 print('No. of Laptop=,Laptop.count) 25 26 Output: 27 No. of Laptop = 0 28 ===== ===== 29 Model Name: Macbook Pro ==== 30 Year of release: 2021 31 Features: Apple M1 Chip, 16-core Neural Engine, 8-core GPU 32 ======= Untitled Document 1 '16-core Neural Engine', '8-core GPU') Nvidia RTX 3080 16GB GPU') ============== === 37 Model Name: HP SPECTRE X360 14 Intel Core i7-1165G7 CPU') Model Name: Razer Blade Pro 17 Year of release: 2020 BS Features: Intel Core i7-10875H CPU, Nvidia RTX 3080 16GB GPU

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

 

 

1 ????????:
2 Implement the design of the Laptop class so that the following output is
3 produced:
4 [Your code should work for any number of features added in the add_Features
5 method]
6
7 # Write your code here
8# Do not change the following lines of code.
9
10 print("No. of Laptop=", Laptop.count)
11 11 = Laptop('Macbook Pro', 2021)
12 11.add_Features ('Apple M1 Chip'
13 12 = Laptop('Razer Blade Pro 17, 2020)
14 12.add_Features('Intel Core i7-10875H CPU'
15 13 = Laptop('HP SPECTRE X360 14, 2021)
13.add_Features(512GB PCIe NVMe SSD'
===")
16
17 print("
18 11.printLaptopDetail()
19 print("===
======")
=======")
Laptop.count)
========")
20 12.printLaptopDetail()
21 print("=
22 13.printLaptopDetail()
23 print("====
24 print('No. of Laptop
25
26 Output:
27 No. of Laptop = 0
*Untitled Document 1
16-core Neural Engine', '8-core GPU')
Nvidia RTX 3080 16GB GPU')
28 =====
29 Model Name: Macbook Pro
30 Year of release: 2021
Features: Apple M1 Chip, 16-core Neural Engine, 8-core GPU
12 =========
=====
============
Model Name: HP SPECTRE X360 14
Intel Core i7-1165G7 CPU')
Model Name: Razer Blade Pro 17
Year of release: 2020
Features: Intel Core i7-10875H CPU, Nvidia RTX 3080 16GB GPU
Transcribed Image Text:1 ????????: 2 Implement the design of the Laptop class so that the following output is 3 produced: 4 [Your code should work for any number of features added in the add_Features 5 method] 6 7 # Write your code here 8# Do not change the following lines of code. 9 10 print("No. of Laptop=", Laptop.count) 11 11 = Laptop('Macbook Pro', 2021) 12 11.add_Features ('Apple M1 Chip' 13 12 = Laptop('Razer Blade Pro 17, 2020) 14 12.add_Features('Intel Core i7-10875H CPU' 15 13 = Laptop('HP SPECTRE X360 14, 2021) 13.add_Features(512GB PCIe NVMe SSD' ===") 16 17 print(" 18 11.printLaptopDetail() 19 print("=== ======") =======") Laptop.count) ========") 20 12.printLaptopDetail() 21 print("= 22 13.printLaptopDetail() 23 print("==== 24 print('No. of Laptop 25 26 Output: 27 No. of Laptop = 0 *Untitled Document 1 16-core Neural Engine', '8-core GPU') Nvidia RTX 3080 16GB GPU') 28 ===== 29 Model Name: Macbook Pro 30 Year of release: 2021 Features: Apple M1 Chip, 16-core Neural Engine, 8-core GPU 12 ========= ===== ============ Model Name: HP SPECTRE X360 14 Intel Core i7-1165G7 CPU') Model Name: Razer Blade Pro 17 Year of release: 2020 Features: Intel Core i7-10875H CPU, Nvidia RTX 3080 16GB GPU
method]
7 # Write your code here
8 # Do not change the following lines of code.
9
5
6
10 print("No. of Laptop=", Laptop.count)
11 11
Laptop('Macbook Pro', 2021)
12 11.add_Features ('Apple M1 Chip'
13 12
Laptop('Razer Blade Pro 17', 2020)
14 12.add Features('Intel Core i7-10875H CPU', 'Nvidia RTX 3080 16GB GPU')
15 13 Laptop('HP SPECTRE X360 14', 2021)
16 13.add Features ('512GB PCIe NVMe SSD', 'Intel Core i7-1165G7 CPU')
17 print("====
18 11.printLaptopDetail()
19 print("=====
20 12.printLaptopDetail()
21 print("===
¹16-core Neural Engine', '8-core GPU')
22 13.printLaptopDetail()
23 print("===
======")
24 print('No. of Laptop =', Laptop.count)
25
26 Output:
27 No. of Laptop 0
28 ===
29 Model Name: Macbook Pro
30 Year of release: 2021
31 Features: Apple M1 Chip, 16-core Neural Engine, 8-core GPU
====
Model Name: Razer Blade Pro 17
34 Year of release: 2020
Features: Intel Core i7-10875H CPU, Nvidia RTX 3080 16GB GPU
Model Name: HP SPECTRE X360 14
Year of release: 2021
Features: 512GB PCIe NVMe SSD, Intel Core i7-1165G7 CPU
No. of Laptop = 3
Plain Text
Tab Width:
Transcribed Image Text:method] 7 # Write your code here 8 # Do not change the following lines of code. 9 5 6 10 print("No. of Laptop=", Laptop.count) 11 11 Laptop('Macbook Pro', 2021) 12 11.add_Features ('Apple M1 Chip' 13 12 Laptop('Razer Blade Pro 17', 2020) 14 12.add Features('Intel Core i7-10875H CPU', 'Nvidia RTX 3080 16GB GPU') 15 13 Laptop('HP SPECTRE X360 14', 2021) 16 13.add Features ('512GB PCIe NVMe SSD', 'Intel Core i7-1165G7 CPU') 17 print("==== 18 11.printLaptopDetail() 19 print("===== 20 12.printLaptopDetail() 21 print("=== ¹16-core Neural Engine', '8-core GPU') 22 13.printLaptopDetail() 23 print("=== ======") 24 print('No. of Laptop =', Laptop.count) 25 26 Output: 27 No. of Laptop 0 28 === 29 Model Name: Macbook Pro 30 Year of release: 2021 31 Features: Apple M1 Chip, 16-core Neural Engine, 8-core GPU ==== Model Name: Razer Blade Pro 17 34 Year of release: 2020 Features: Intel Core i7-10875H CPU, Nvidia RTX 3080 16GB GPU Model Name: HP SPECTRE X360 14 Year of release: 2021 Features: 512GB PCIe NVMe SSD, Intel Core i7-1165G7 CPU No. of Laptop = 3 Plain Text Tab Width:
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