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Jsing the created Car class, perform the followings: read the cars.txt to create Car objects from each line, store them in a list, print all cars in the list using the string() function in the Car class. Write a function filter_increase() that takes four parameters, a list that has Car objects, max_km, min_year and rate. This function only updates prices of the Car objects based in the list based on the maximum kilometer (exclusive, i.e. < max_km) and minimum production year (exclusive, i.e. > min_year) and prints these updated objects by using string() method.

Jsing the created Car class, perform the followings: read the cars.txt to create Car objects from each line, store them in a list, print all cars in the list using the string() function in the Car class. Write a function filter_increase() that takes four parameters, a list that has Car objects, max_km, min_year and rate. This function only updates prices of the Car objects based in the list based on the maximum kilometer (exclusive, i.e. < max_km) and minimum production year (exclusive, i.e. > min_year) and prints these updated objects by using string() method.

Computer Networking: A Top-Down Approach (7th Edition)
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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Language: PYTHON 

Using the created Car class, perform the followings: read the cars.txt to create Car objects from each line, store them in a list, print all cars in the list using the string() function in the Car class. Write a function filter_increase() that takes four parameters, a list that has Car objects, max_km, min_year and rate. This function only updates prices of the Car objects based in the list based on the maximum kilometer (exclusive, i.e. < max_km) and minimum production year (exclusive, i.e. > min_year) and prints these updated objects by using string() method. Write the Python statements to perform the followings: Input a maximum km value, Input a minimum year, Input increase rate in percents, Call filter_increase() function to increase prices and print the relevant cars.
Transcribed Image Text:Using the created Car class, perform the followings: read the cars.txt to create Car objects from each line, store them in a list, print all cars in the list using the string() function in the Car class. Write a function filter_increase() that takes four parameters, a list that has Car objects, max_km, min_year and rate. This function only updates prices of the Car objects based in the list based on the maximum kilometer (exclusive, i.e. < max_km) and minimum production year (exclusive, i.e. > min_year) and prints these updated objects by using string() method. Write the Python statements to perform the followings: Input a maximum km value, Input a minimum year, Input increase rate in percents, Call filter_increase() function to increase prices and print the relevant cars.
cars (1).txt - Not Defteri Dosya Düzen Biçim Görünüm Yardım þ6AT1250 Toyota Corolla Red 2016 44000 48000 34GG784 Audi А4 Dark Green 2019 24000 74560 Blue Peugeot 107 Gray 06AD2876 2012 88600 48000 16HN177 Renault Symbol 2019 26000 58000 24HT1404 BMW X2 Black 2014 60000 112000 45DL270 Renault clio Symbol Black 2016 31800 64000 06HYR84 Citroen C2 Red 2006 212000 16400 07EE007 Mercedes E 220 white 2020 44000 432000 Carina Blue Тoyota Linea Ø7BT1204 2018 39800 64000 34HJ807 Fiat white 2007 144000 16800 Renault Megane Blue Renault Laguna Red 07ANT240 2020 72000 56000 06KLM081 2016 2400 126000 06RR440 Fiat Panda Red 2013 106200 30400 34LL1402 Citroen C4 Gray Red 2015 64000 50000 28GG147 Alfa Romeo 147-5 2016 62000 119200 26AR3420 BMW X3 white 2019 44000 136000 06HH147 Mercedes E 220 Brown 2016 194000 132000 05PA404 Anadol A white 1984 136000 14000 06YT196 Ford 23000 Gray 34KL254 citroen C4 Sedan Focus 2018 64800 Blue 2015 8800 84000 Ø6RE440 Renault Megane white 2016 38000 70400 34UT482 Mazda 626 Metallic Blue 2017 19000 88000 01UY254 Toyota Corolla Red 51ND248 Renault Symbol 35T1881 Toyota Yaris 04NN548 Honda 2012 89240 16400 Blue 2017 36800 58400 white 2019 84000 36000 Civic Red 2018 120400 46800 07ATA777 Renault Megane Red 2012 88000 64000 67SON99 Toyota Auris 24TY714 Renault Megane Dark Blue 2017 12000 84000 Blue 2018 14600 128000
Transcribed Image Text:cars (1).txt - Not Defteri Dosya Düzen Biçim Görünüm Yardım þ6AT1250 Toyota Corolla Red 2016 44000 48000 34GG784 Audi А4 Dark Green 2019 24000 74560 Blue Peugeot 107 Gray 06AD2876 2012 88600 48000 16HN177 Renault Symbol 2019 26000 58000 24HT1404 BMW X2 Black 2014 60000 112000 45DL270 Renault clio Symbol Black 2016 31800 64000 06HYR84 Citroen C2 Red 2006 212000 16400 07EE007 Mercedes E 220 white 2020 44000 432000 Carina Blue Тoyota Linea Ø7BT1204 2018 39800 64000 34HJ807 Fiat white 2007 144000 16800 Renault Megane Blue Renault Laguna Red 07ANT240 2020 72000 56000 06KLM081 2016 2400 126000 06RR440 Fiat Panda Red 2013 106200 30400 34LL1402 Citroen C4 Gray Red 2015 64000 50000 28GG147 Alfa Romeo 147-5 2016 62000 119200 26AR3420 BMW X3 white 2019 44000 136000 06HH147 Mercedes E 220 Brown 2016 194000 132000 05PA404 Anadol A white 1984 136000 14000 06YT196 Ford 23000 Gray 34KL254 citroen C4 Sedan Focus 2018 64800 Blue 2015 8800 84000 Ø6RE440 Renault Megane white 2016 38000 70400 34UT482 Mazda 626 Metallic Blue 2017 19000 88000 01UY254 Toyota Corolla Red 51ND248 Renault Symbol 35T1881 Toyota Yaris 04NN548 Honda 2012 89240 16400 Blue 2017 36800 58400 white 2019 84000 36000 Civic Red 2018 120400 46800 07ATA777 Renault Megane Red 2012 88000 64000 67SON99 Toyota Auris 24TY714 Renault Megane Dark Blue 2017 12000 84000 Blue 2018 14600 128000
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