atcoder-env

日本語版の README.md

This is a set of tool containers for replicating the AtCoder environment locally and running the code.

Based on the Spreadsheet of language updates, we create a docker container for each language and compile and run it.

There are some differences from the actual AtCoder environment, but the version of the language processing system and the libraries should be the same, which is useful for compatibility checks.

Also, it eliminates the need for setting up an environment for the language processing system.

Please note that docker cli must be installed in order to run.

Installation

If you are using rye:

rye install atcoder-env --git https://github.com/nahco314/atcoder-env.git

If you are using pip:

pip install git+https://github.com/nahco314/atcoder-env.git

Usage

First, find the language ID using the atcoder-env search command.

$ atcoder-env search Python
Python (CPython 3.11.4):
  id  : python-cpython-3.11.4
  tag : d66573ba
Python (PyPy 3.10-v7.3.12):
  id  : python-pypy-3.10-v7.3.12
  tag : 2dea280c
Python (Cython 0.29.34):
  id  : python-cython-0.29.34
  tag : 2ae55f54
Python (Mambaforge / CPython 3.10.10):
  id  : python-mambaforge---cpython-3.10.10
  tag : 6f72f33d

Copy the ID of the language processing system you want to use and run it by atcoder-env run {language-id} {file}.

$ atcoder-env run python-pypy-3.10-v7.3.12 ./helloworld.py
Hello,World!

Details

Each language's docker containers for execution are uploaded as nahco314/atcoder-env:{tag-name}. You can check the tag-name field through atcoder-env search.

Compilation and execution are done in /tmp/run.bash inside the container.

Passing compile as an argument performs a compilation.

Passing check as an argument determines whether the compilation was successful (i.e., whether the object file exists).

Passing run as an argument performs an execution.