Skip to main content

No project description provided

Project description

PyPI - Version PyPI - Python Version License GitHub Workflow Status (with event) GitHub stars GitHub contributors

A handy package for kickstarting AI contests

We proudly provide a Python framework that makes the building of an environment for adversarial agents easy !

A lot of fun functionalities are provided an easily usable out of the box !

  • Implementing a new game setup from scratch ? Painless !
  • Playing against remote agents ? Easy !
  • Generating and collecting data about played games ? Worriless !
  • Organizing a contest for a large range of agents ? Quick and reliable !

Installation

The package is publicly available on PyPI.

We strongly encourage the use of a virtual environment:

    $ python3 -m venv venv

    $ source venv/bin/[activate|Activate.ps1]

    (venv)$ pip install seahorse

Documentation

Our full documentation and a series of tutorials are available on corail-research.github.io.

Main contributors

We are an enthusiastic team of M.Sc candidates led by Pr. Quentin Cappart at Polytechnique Montréal. The package was originally developed in the context of a introductory course to artificial intelligence given to undergrad computer and software engineering students. Checkout our lab's page for more information.

License

seahorse is distributed under the termes of the 3-Clause BSD License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

seahorse-1.2.2.tar.gz (3.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

seahorse-1.2.2-py3-none-any.whl (26.7 kB view details)

Uploaded Python 3

File details

Details for the file seahorse-1.2.2.tar.gz.

File metadata

  • Download URL: seahorse-1.2.2.tar.gz
  • Upload date:
  • Size: 3.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for seahorse-1.2.2.tar.gz
Algorithm Hash digest
SHA256 8ec91d6b8af029d9742acc071e1f21623debb8d75b2f64f6c060989722031863
MD5 243d8156546d26c3ae72a67e1a7f5f52
BLAKE2b-256 1ae19eb4070e462a542657a57c3b15744d1a9b6a7a5d879322422c8aa1285d0c

See more details on using hashes here.

Provenance

The following attestation bundles were made for seahorse-1.2.2.tar.gz:

Publisher: python-release.yml on corail-research/seahorse

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file seahorse-1.2.2-py3-none-any.whl.

File metadata

  • Download URL: seahorse-1.2.2-py3-none-any.whl
  • Upload date:
  • Size: 26.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for seahorse-1.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 61fe74607bde837d2dfd1b3408b2bf7c1dfc93f7a83bee04a92aa7919b19cfce
MD5 ce49b0fecdfc78d473160cefcb08d1fc
BLAKE2b-256 b2d4c2bea02ef6ba92a7c0a58190ce593ad9ece2b249249c2f482c8c043d0285

See more details on using hashes here.

Provenance

The following attestation bundles were made for seahorse-1.2.2-py3-none-any.whl:

Publisher: python-release.yml on corail-research/seahorse

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page