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A Simple Ride - Sharing System Let's consider a two - dimensional city where positions are defined using x and y coordinates. Within this city,

A Simple Ride-Sharing System
Let's consider a two-dimensional city where positions are defined using x and y coordinates. Within this city, multiple cars and passengers are situated at various locations. As illustrated in the image above, you can see the positions of two cars and two passengers. The cars, passengers, and their respective positions can be represented by the 'Car,' 'Passenger,' and 'Location' classes respectively. The UML diagrams depicting these classes are provided below. This city operates a straightforward ride-sharing system, which is represented by the RideSharingApp' class in the UML diagram below.
UML Class Diagrams
Implement these four classes using Python. Below is a brief description of those classes:
1. Location
This class has 2 data attributes and 2 methods.
Data attributes
x - An integer value representing the x-coordinate
y - An integer value representing the y-coordinate
Methods
__init__(self, x, y): It is the constructor of the class. It should assign the given parameters to the corresponding data attributes.
__str__(self): This method should return a string representation of the location object. The format of the string should be similar to -(x,y)
2. Car
This class has 3 data attributes and 3 methods.
Data attributes
car_name - A string representing the name of the car.
location An object of the Location class representing the position of the car within the 2-dimensional space.
cost_per_mile A floating point number representing the cars fare per mile.
Methods
__init__(self, name, location, cost): It is the constructor of the class. It should assign the given parameters to the corresponding data attributes.
__str__(self): This method should return a string representation of a car object. The format of the string should be similar to -[car_name, location, cost_per_mile]
move_to(self, new_x, new_y): this method should update the x and y coordinates of the location attribute to new_x and new_y
3. Passenger
This class has 2 data attributes and 3 methods.
Data attributes
passenger_name - A string representing the name of the passenger.
location An object of the Location class representing the position of the passenger within the 2-dimensional space.
Methods
__init__(self, name, location): It is the constructor of the class. It should assign the given parameters to the corresponding data attributes.
__str__(self): This method should return a string representation of a passenger object. The format of the string should be similar to [passenger_name, location]
move_to(self, new_x, new_y): this method should update the x and y coordinates of the location attribute to new_x and new_y.
4. RideSharingApp
This class has 2 data attributes and 7 instance methods.
Data attributes
cars A list of Car objects
passengers A list of Passenger objects
Methods
__init__(self): It is the constructor of the class. It should set the cars and passengers attributes to empty lists.
add_car(self, car)- adds the given car object to the cars attribute
add_passenger(self, passenger) adds the given passenger object to the passengers attribute
remove_car(self, car) removes the given car object from the cars attribute
remove_passenger(self, passenger)- removes the given passenger object from the passengers attribute
find_cheapest_car(self) This method finds the cheapest car and prints the string representation of that car. The cheapest car is determined based on the cost_per_mile attribute of the car objects.
find_nearest_car(self, passenger) This method finds the nearest car for the given passenger object and prints the string representation of that car. The nearest car is determined based on the distance between the passenger and the available cars. For example, if a passengers location is (x1, y1) and a cars location is (x2, y2), their distance can be calculated according to:
Submission Instructions
(Please follow the instructions carefully and submit accordingly.)
Regular Submission
Name your source code file as FULL_NAME_HW1.py
Submit this file in iCollege folder Homework1
Due date: Sun, 1/28/202411:59 PM
Late Submission
If you are submitting beyond the due date, please submit your source code file in Homework1_Late_Submissions folder.
The late submissions penalty will be determined based on the following formula:
PENALTY =0.4* NUMBER_OF_HOURS_LATE
Examples:
If your submission is 2 hours late, PENALTY =0.8%
If your submission is 24 hours late, PENALTY =9.6%
If your submission is 72 hours late, PENALTY =28.8%
Note:
- Only late submissions that are <=5 days late will be considered for grading.
-All submissions must be made through iCollege. No email submission will be accepted.
Example code:
A sample source co

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