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Python project simulating the student Lunch experience both with and without informational benefits from sensors and the Internet of Things.
A simulation of a typical lunch hour at Dartmouth, with and without the Internet of Things. The ���dumb��� simulation assumes that students have no information about how long lines are at their favorite food venues, whereas the ���smart��� simulation assumes that students have perfect information, and will head to their second-favorite venue if the line is too long at their favorite. Authors: Jasper Bingham Christopher Livingston General Notes: .txt files in static folder are CSV files to store info about our objects. If you wish to change anything about objects in simulation, change there. To run the simulation: -Navigate to folder with source files (smart_lunch) -Type “python simulation.py” into Terminal and hit Enter -Follow the instructions printed to standard output -The results for the dumb and smart simulations will be printed to dumb.log and smart.log, respectively To clean working directory of unneccesary files: -Type "make clean" into the terminal
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