README.md

Hash Code Online Qualification 2018: Self-Driving Rides

This repository contains the scoring and a possible approach to solve the Self-Driving rides problem from the Online Qualification Round of Hash Code 2018.

Set up

Build the docker image:

docker-compose build

Set up the example datasets:

• Create input and output directories in the root of this project
• Copy examples/a_example.in to input/a_example.in
• Copy examples/a_example.out to output/a_example.out.

Notice that the input and output files have the same name with different extension

Score

This will score the simulation based on the formula stated in the PDF. This will also apply the validations.

bundle exec rake rides:score

Plan

You can run a plan as follows:

bundle exec rake rides:plan[<name>]

The plans are registered in src/planning/planner.

The plan record is for max_journal_score planner:

*************************
Planning dataset c_no_hurry
Still in progress (200000/200000) ...
Still in progress (200000/200000) ...
Validation has passed
{:total_score=>9515851, :rides_pending=>0, :rides_with_bonus=>0}
9515851 points
*************************
Planning dataset a_example
Validation has passed
{:total_score=>10, :rides_pending=>0, :rides_with_bonus=>1}
10 points
*************************
Planning dataset d_metropolis
Still in progress (50000/50000) ...
Still in progress (50000/50000) ...
Validation has passed
{:total_score=>6992759, :rides_pending=>0, :rides_with_bonus=>817}
6992759 points
*************************
Planning dataset e_high_bonus
Validation has passed
{:total_score=>20353532, :rides_pending=>0, :rides_with_bonus=>9074}
20353532 points
*************************
Planning dataset b_should_be_easy
Validation has passed
{:total_score=>175377, :rides_pending=>0, :rides_with_bonus=>228}
175377 points
*************************
Total points: 37037529

Test

bundle exec rspec

NOTE: The project is dockerized, so you can execute the stated commands prefixed by docker-compose run --rm app.