Data Science程序代做、Python编程代写-代写Python编程

Programming Assignment 1

Data Science

June 30, 2021

• Due Date: There is no due date for this assignment. However, you will receive

feedback on your submission if submitted before the July 12th, 2021.

Problem Statement

This assignment is meant to provide training for reading analyzing and contributing to relatively

large bodies of Python code.

Several files were furnished with code which simulates an elevator system. Several functions

and classes have had their code removed from the files. You will try to complete ALL

the missing code. In order to run the assignment, you must complete the code in ‘entities.py’

at the very least.

(a)[algorithms.py] Complete the RandomAlgorithm subclass. The return value is a list

containing a Direction for each elevator.

(b)[algorithms.py] Complete the ShortSighted subclass. The return value is a list containing

a Direction for each elevator.

Note: The above subclasses implement different variations of the MovingAlgorithm masterclass.

PushyPassenger is yet another variation of a MovingAlgorithm and can be used to

run the Simulation.

(c)[entities.py] Complete the initializer method __init__ for the Elevator class.

(d)[entities.py] Complete the disembark method of the Elevator class.

(e)[entities.py] Complete the initializer method __init__ for the Person class.

Note: The above method definitions are required to run the Simulation.

How to run the File

You will only need to modify two of the files as part of this assignment. They are algorithms.py

and entities.py. When you are done working on entities.py you can edit the

parameters of sample_run() function in Simulations.py. You are encouraged to read and

check out the other files but not to edit them.

In sample_run(), you need to give two algorithms, an ArrivalGenerator instance and a

MovingAlgorithm instance, as well as values for the four other parameters that control the

number of floors, number of passengers per round, number of elevators and their capacities.

You are encouraged to run the code from an IDE, as opposed to Jupyter Notebooks.