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.
We are always interested to know who's using this, so feel free to inform us (e.g. via an issue) if so :) The main user base is sitting in Europe with regular users from the BAPC, GCPC and NWERC. BAPCtools has also been used to prepare problems at the EUC and the ICPC WF.
Installation
There are multiple ways to install BAPCtools:
- From PyPI:
pip(x) install bapctools. This should be a complete installation (including all dependencies and abtexecutable) and should work on any Linux-ish system. - The bapctools-git AUR package, mirrored here.
- Run from a Docker image.
- The development version from git via
pip install .. For more information regarding the development version see the installation instructions in contributing.md.
(If you know how to make a Debian package, feel free to help out.)
Windows
Note that 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.
Native Windows
If you cannot or do not want to use WSL, you'll need the following in your %PATH%:
pythonfor Python 3g++to compile C++javacandjavato compile and run Java.pyctdfor checktestdata, see PyCTD
Docker
A docker image containing this git repo and dependencies, together with commonly used languages, is provided at ragnargrootkoerkamp/bapctools.
This version may be somewhat outdated, but we intend to update it whenever dependencies change.
Ping us if you'd like it to be updated.
Alternatively, inside the Docker container, you can run git -C /opt/BAPCtools pull to update to the latest version of BAPCtools, and use pacman -Sy <package> to install potential missing dependencies.
This image can be used for e.g.:
- running CI on your repo.
Also see
bt gitlabciwhich generates a.gitlab-ci.yamlfile. Make sure to clear the entrypoint, e.g.entrypoint: [""]. - running
bton 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>
Common 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:
bt run [-v] [submissions [submissions ...]] [test_cases [test_cases ...]]bt test <submission> [--interactive | --samples | [test_cases [test_cases ...]]]bt generate [-v] [--jobs JOBS]bt validate [-v] [--input | --answer] [--remove | --move-to DIR] [test_cases [test_cases ...]]bt pdf [-v]
A guide on how to set a problem with BAPCtools and what commands to use can be found at docs/workflow.md. The list of all available commands and options is at docs/commands. Additionally, information regarding the implementation is at docs/advanced/implementation_notes.md.
Run
bt run [-v] [submissions [submissions ...]] [test_cases [test_cases ...]]
Without arguments, the run command runs all submissions against all test cases.
Specify one or more submissions and one or more test cases to only run the given submissions against the given test cases.
Before running the given submissions, this command first makes sure that all generated test cases are up to date (in case generators/generators.yaml was found).
To disable automatically regenerating test cases, pass -G (--no-generate), or add no_generate: true to a .bapctools.yaml file in the problem or contest directory.
By default, bt run only prints one summary line per submission, and one additional line for each test case with an unexpected result. Use -v to print one line per test case instead.
Test
bt test <submission> [--samples | [test_cases [test_cases ...]]]
Use the test command to run a single submission on some test cases.
The submission stdout and stderr are printed to the terminal instead of being verified as an answer file.
Use --samples to run on the samples, or pass a list of test cases or directories containing test cases.
Use --interactive/-i to run in interactive mode, where console input is forwarded to the submission.
In interactive mode the output is not validated.
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".
Generate
bt generate [-v] [--jobs JOBS]
Use the generate command to generate the test cases specified in generators/generators.yaml.
See docs/generators.md for the specification of generators.yaml and see docs/commands.md#generate for the full list of arguents.
Use -j 0 to disable running multiple jobs in parallel (the default is half of the available cpu cores).
Validate
bt validate [-v] [--input | --answer] [--remove | --move-to DIR] [test_cases [test_cases ...]]
Validate all the .in and .ans for all (given) test cases.
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
pyctdexecutable in your$PATH, see PyCTD). - a .viva file.
You can use --remove to delete all failing test cases or --move <dir> to move them to a separate directory.
bt pdf [-v] [--cp]
Use this command to compile the problem.en.pdf from the statement/problem.en.tex LaTeX statement.
The generated problem.en.pdf is linked to the problem directory itself, if you want a persistent version of the pdf use --cp.
This can also be used to create the contest pdf by running it from the contest directory.
Updating the Docker Image
This can only be done by maintainers:
$ 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.
Metadata
Release files for bapctools 2026.10.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
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| bapctools-2026.10.0.tar.gz | 4.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bapctools-2026.10.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.9 MB
Release files / bapctools-2026.10.0.tar.gz
| Download URL | bapctools-2026.10.0.tar.gz |
|---|---|
| Size | 4.1 MB |
| Tags | Source |
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Transparency logRelease files / bapctools-2026.10.0-py3-none-any.whl
| Download URL | bapctools-2026.10.0-py3-none-any.whl |
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| Size | 1.8 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 14, 2026.
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