/BAPCtools

Tools for developing ICPC-style programming contest problems.

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

BAPCtools

BAPCtools is a tool for creating and developing problems following the CLICS (DOMjudge/Kattis) problem format specified here.

The aim of this tool is to run all necessary compilation, validation, and testing commands while working on an ICPC-style problem. Ideally one should never have to manually run any compilation or testing command themselves.

I'm interested to know who's using this, so feel free to inform me (e.g. via an issue) if so ;) The current state is relatively stable, but things do change from time to time since I'm not aware of usage outside of BAPC yet.

Installation

You can install the bapctools-git AUR package, mirrored here, or use the Docker image.

Otherwise, clone this repository and install the required dependencies manually. (If you know how to make a Debian package, feel free to help out.)

  • Python 3 (>= 3.6).

  • The yaml library via pip install pyyaml or the python[3]-yaml Arch Linux package.

  • The colorama library via pip install colorama or the python[3]-colorama Arch Linux package.

  • The argcomplete library for command line argument completion. Install via python[3]-argcomplete.

    • Note that actually using argcomplete is optional, but recommended. Detailed instructions are here.

      TL;DR: Put eval "$(register-python-argcomplete[3] tools.py)" in your .bashrc or .zshrc.

Optional dependencies, required for some subcommands:

  • The ruamel.yaml library via pip install ruamel.yaml or the python-ruamel-yaml Arch Linux package (python3-ruamel.yaml on Debian derivatives).
    • This is only needed for commands that update generators.yaml.
  • The latexmk and pdflatex commands, provided by texlive-bin on Arch Linux and potentially some specific LaTeX packages (like tikz) provided by texlive-extra. These are only needed for building pdf files, not for run and validate and such.
  • The matplotlib library via pip install matplotlib or the python[3]-matplotlib Linux package.
    • This is optional and only used by the solve_stats command.
  • The requests library via pip install requests or the python[3]-requests Linux package.
    • This is optional and only used by the commands that call the DOMjudge API (export, solutions --order-from-css, and solve_stats) or the Slack API (create_slack_channels command).
  • The questionary library via pip install questionary.
    • This is optional and only used by the new_contest and new_problem commands.

After cloning the repository, symlink bin/tools.py to somewhere in your $PATH. E.g., if ~/bin/ is in your $PATH, you can do:

% ln -s ~/git/BAPCtools/bin/tools.py ~/bin/bt

Windows

For Windows, you'll need the following in your path:

  • Python for Python 3
  • g++ to compile C++
  • javac and java to compile and run java.

Resource limits (memory limit/hard cpu time limit) are also not supported.

BAPCtools makes use of symlinks for building programs. By default users are not allowed to create symlinks on Windows. This can be fixed by enabling Developer Mode on Windows (Only since Windows 10, version 1703 or newer).
In case you're still having problems with symlinks in combination with Git after enabling this setting, please try the suggestions at https://stackoverflow.com/a/59761201. Specifically, git config -g core.symlinks true should do the trick, after which you can restore broken symlinks using git checkout -- path/to/symlink.

Docker

A docker image containing this git repo and dependencies, together with commonly used languages, is provided at ragnargrootkoerkamp/bacptools. This version may be somewhat outdated. Ping me if you'd like it to be updated.

This image can be used for e.g.:

  • running CI on your repo. Also see bt gitlabci which generates a .gitlab-ci.yaml file. Make sure to clear the entrypoint, e.g. entrypoint: [""].
  • running bt on your local problems. Use this command to mount your local directory into the docker image and run a command on it: 
    docker run -v $PWD:/data --rm -it ragnargrootkoerkamp/bapctools <bt subcommands>

To update the image:

$ sudo systemctl start docker
$ docker pull archlinux:latest
$ docker login
$ docker build . -t ragnargrootkoerkamp/bapctools
$ docker push ragnargrootkoerkamp/bapctools
$ ssh <server> sudo docker pull ragnargrootkoerkamp/bapctools

The last step is needed when your CI server is not automatically pulling the latest version.

Usage

BAPCtools can be run either from a problem directory or a contest directory. This is automatically detected by searching for the problem.yaml file.

The most common commands and options to use on an existing repository are:

The list of all available commands and options is at doc/commands.md#synopsis, and more information regarding the implementation is at doc/implementation_notes.md.

Run

  • bt run [-v] [submissions [submissions ...]] [testcases [testcases ...]]

Without arguments, the run command runs all submissions against all testcases. Specify one or more submissions and one or more testcases to only run the given submissions against the given testcases.

Before running the given submissions, this command first makes sure that all generated testcases are up to date (in case generators/generators.yaml was found).

run

By default, bt run only prints one summary line per submission, and one additional line for each testcase with an unexpected result. Use -v to print one line per testcase instead.

run -v

Test

  • bt test <submission> [--samples | [testcases [testcases ...]]]

Use the test command to run a single submission on some testcases. The submission stdout and stderr are printed to the terminal instead of verified as an answer file. Use --samples to run on the samples, or pass a list of testcases or directories containing testcases. Use --interactive/-i to run in interactive mode, where console input is forwarded to the submission. This rebuilds and reruns the program until either control-C or control-D is pressed. It's also possible to supply the test case on the command line directly using e.g. < /path/to/file.in or <<< "10 20".

test

Generate

  • bt generate [-v] [--jobs JOBS]

Use the generate command to generate the testcases specified in generators/generators.yaml. See doc/generators.md for the specification of generators.yaml and see doc/commands.md#generate for the full list of arguents. Use -j 0 to disable running multiple jobs in parallel (the default is 4).

generate

Validate

  • bt validate [-v] [--input | --answer] [--remove | --move-to DIR] [testcases [testcases ...]]

Validate all the .in and .ans for all (given) testcases. It runs all validators from input_validators, answer_validators, and output_validators.

Validators can be one of

  • a single-file program.
  • a multi-file program with all files in a common directory.
  • a .ctd CheckTestData file (this needs the checktestdata executable in your $PATH).
  • a .viva file.

You can use --remove to delete all failing testcases or --move <dir> to move them to a separate directory.

validator

Pdf

  • bt pdf [-v]

Use this command to compile the problem.en.pdf from the problem_statement/problem.en.tex LaTeX statement. problem.en.pdf is written to the problem directory itself.

This can also be used to create the contest pdf by running it from the contest directory.

Personal configuration file

For some command-line flags, it is convenient if they are always set to the same value, which differs per user (e.g., --username or --password for commands that access a CCS like DOMjudge, or --jobs to limit parallel execution) or per contest (e.g., which statement languages are used). For this, you can create a configuration YAML file containing key-value pairs in one of the following locations, from low to high priority:

  • $XDG_CONFIG_HOME/bapctools/config.yaml (Unix-ish systems, where $XDG_CONFIG_HOME usually is ~/.config)
  • %AppData%/bapctools/config.yaml (Windows systems)
  • <contest directory>/.bapctools.yaml

The keys in this config file can be any option that can be passed on the command-line. Note that the keys should be written out in full (e.g., username: jury rather than u: jury) and any hyphens should be replaced with an underscore (e.g., no_bar: True rather than no-bar: True).

Contributing / Style guide

  • The python code in the repository is formatted using black. To enable the pre-commit hook, install pre-commit with pip or your package manager (Arch: python-pre-commit) and run pre-commit install from the repository root. All python code will now automatically be formatted on each commit.

  • Imports are usually ordered with system libraries first, followed by a newline, followed by local includes. Both groups are sorted alphabetically, and import comes before from ... import.