python

networkx

python parallel_runner_v1.py our_inputs/<type of graph> our_outputs/<type of graph> <cache type>

type of graph - small, medium, large

cache type - none, some, all

For example, to run on medium-sized outputs without pulling past outputs from the cache:

python parallel_runner_v1.py our_inputs/medium our_outputs/medium none

python submission.py 

<at the prompt "Please enter a solver name.">
combined_solver

Be sure to remove all DS_Store files

Our submission outputs then appear in the outputs/ folder

Take a look at the project spec before you get started!

Requirements:

You'll only need to install networkx to work with the starter code. For installation instructions, follow: https://networkx.github.io/documentation/stable/install.html

Files:

• parse.py: functions to read/write inputs and outputs
• solver.py: where you should be writing your code to solve inputs
• utils.py: contains functions to compute cost and validate NetworkX graphs

When writing inputs/outputs:

• Make sure you use the functions write_input_file and write_output_file provided
• Run the functions read_input_file and read_output_file to validate your files before submitting!
  • These are the functions run by the autograder to validate submissions