Welcome, this is the code I produced for the master's thesis. This project has 4 main parts The first part is the server, which is connected to a postresql database. The second part is a notebook used at the beginning of the project to visualize the data and try some algorithms on a python notebook. The third part is an application of the warmup paper https://arxiv.org/pdf/1602.00602.pdf. This implementation takes the algorithm explained in the paper and bundles the R-impletation of the Changepoint project https://cran.r-project.org/web/packages/changepoint/changepoint.pdf. The last part is a scrit to test if there is a change in performance between 2 commits. I tested some curve comparison algorithms to see if they were similar or not. There is a script giving 2 commits as parameters that will do this comparison.
To run this project and all the script i'm running on Linux Kernel: 5.7.12
Install Docker and Docker-compose for the database Postgresql You can find the tutorial here:https://docs.docker.com/compose/
After that using the command bellow will build the docker image and you will have a Postgresql Database up and running
docker-compose up --build -d database
After The database is up and running you can populate with this backup from Stefan Marr http://stefan-marr.de/tmp/rebenchdb-2020-05-05.sql.bz2 After downloading this backup run this command to populate the db with the data of interest
pg_restore --exit-on-error --verbose -U postgres -h 0.0.0.0 -p 5432 -a --dbname=postgres rebenchdb-2020-05-05.sqlBecause the API is a standard node.js (Typescript) Project you only need to install the depencies
You will need node and npm on your computer https://docs.npmjs.com/downloading-and-installing-node-js-and-npm
At the root of the project
npm install && npm run devIt normaly run all the SQL migration and the server is up and running for running the script that will fetch the data
Each directory compare and classify need Python And R on your computer to run For R you need this https://cran.r-project.org/web/packages/changepoint/changepoint.pdf package for the classify part of the project. For the python side this project use Poetry as package manager https://python-poetry.org/ Use this command when you want to use the script in each directory
poetry install
Use this command to launch the script you will see the result in benchmarks directory with all the benchmarks classify in the name of the file benchmarks/Bounce/Crystal/plot_4_flat.png for example
poetry shell
python script.py
Use this command to launch the script, you can also uncomment the code for each testing of algorithm and compare the result of each curve comparaison algorithm
poetry shell
python script.py
You can also compare two commit together and see if the results are worth looking
poetry shell
python compare.py c72cbd7d2dce09cb7e73e4c796109860be8f3951 1cb740046ed800e4de8bd6fc8a493cce7c5f154c