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Open Source Science

https://github.com/aibasel/machetli

https://github.com/aibasel/machetli

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    3 of 5 committers (60.0%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.5%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: aibasel
  • License: gpl-3.0
  • Language: Python
  • Default Branch: main
  • Size: 7.01 MB
Statistics
  • Stars: 8
  • Watchers: 6
  • Forks: 4
  • Open Issues: 15
  • Releases: 0
Created over 5 years ago · Last pushed 11 months ago
Metadata Files
Readme License

README.rst 

.. image:: docs/machetli.svg
   :width: 20 %
   :align: right
   :alt:

Machetli
========

**Machetli** is a Python package for reproducing characteristics of a program
(such as bugs) with modified instances. It is meant to be helpful for debugging
complex programs and narrowing down where specific behaviors are caused.

Currently, Machetli handles instances for automated planners, specified either
in PDDL or in the SAS\ :sup:`+` format used by `Fast Downward
`__ but adding support for other file formats is
easy.


Installation
------------

Machetli requires Python 3.7+ and can be installed with ``pip``.

.. code-block:: bash

    pip install machetli

If you want to avoid changes to your system-wide Python installation you can
`install Machetli in a virtual Python environment
`_.


Usage
-----

The easiest way to get started is by calling ``machetli`` from the command line.
Machetli guides you through the process of setting up scripts for its most
common use case. If your use case is different you can find an
`interactive demo of Machetli `_ as a Jupyter
notebook on Google Colab. You can find additional examples in the directory
`examples `_.

For a more detailed description, please refer to the `documentation
`_.


Support
-------

* Documentation: https://machetli.readthedocs.io
* Issue tracker: https://github.com/aibasel/machetli/issues
* Code: https://github.com/aibasel/machetli


License
-------

Machetli is licensed under GPL3. We use code from `Fast Downward
`__ and `Lab `_ under GPL3.

Owner

  • Name: Artificial Intelligence Group - University of Basel
  • Login: aibasel
  • Kind: organization
  • Location: Basel, Switzerland

GitHub Events

Total
  • Issues event: 6
  • Watch event: 2
  • Member event: 1
  • Issue comment event: 8
  • Push event: 31
  • Pull request review comment event: 25
  • Pull request review event: 23
  • Pull request event: 5
  • Fork event: 1
  • Create event: 4
Last Year
  • Issues event: 6
  • Watch event: 2
  • Member event: 1
  • Issue comment event: 8
  • Push event: 31
  • Pull request review comment event: 25
  • Pull request review event: 23
  • Pull request event: 5
  • Fork event: 1
  • Create event: 4

Committers

Last synced: over 3 years ago

All Time
  • Total Commits: 254
  • Total Committers: 5
  • Avg Commits per committer: 50.8
  • Development Distribution Score (DDS): 0.382
Top Committers
Name Email Commits
Lucas l****r@g****m 157
ClemensBuechner c****r@u****h 61
Florian Pommerening f****g@u****h 29
Augusto B. Corrêa a****a@u****h 6
Paul Höft h****a@g****m 1
Committer Domains (Top 20 + Academic)
unibas.ch: 3

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 63
  • Total pull requests: 41
  • Average time to close issues: about 1 year
  • Average time to close pull requests: 14 days
  • Total issue authors: 4
  • Total pull request authors: 6
  • Average comments per issue: 0.68
  • Average comments per pull request: 0.37
  • Merged pull requests: 38
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 5
  • Pull requests: 8
  • Average time to close issues: 5 months
  • Average time to close pull requests: 10 days
  • Issue authors: 2
  • Pull request authors: 3
  • Average comments per issue: 0.2
  • Average comments per pull request: 0.13
  • Merged pull requests: 7
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • ClemensBuechner (36)
  • galerykaeser (20)
  • FlorianPommerening (7)
  • jendrikseipp (1)
Pull Request Authors
  • ClemensBuechner (17)
  • galerykaeser (12)
  • FlorianPommerening (11)
  • SimWi (7)
  • phoeft670 (1)
  • galvusdamor (1)
Top Labels
Issue Labels
before v1 (13) refactoring (10) enhancement (7) grid (6) good first issue (4) bug (3) successor-generators (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 144 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 12
  • Total maintainers: 1
pypi.org: machetli

Locate bugs in your program

  • Versions: 12
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 144 Last month
Rankings
Dependent packages count: 7.5%
Forks count: 17.1%
Dependent repos count: 22.5%
Average: 24.4%
Stargazers count: 25.3%
Downloads: 49.8%
Maintainers (1)
aibasel
Last synced: 10 months ago

Dependencies

docs/requirements.txt pypi
  • Babel ==2.9.1
  • Jinja2 ==3.0.1
  • MarkupSafe ==2.0.1
  • Pygments ==2.9.0
  • Sphinx ==3.5.4
  • alabaster ==0.7.12
  • certifi ==2021.5.30
  • chardet ==4.0.0
  • docutils ==0.16
  • idna ==2.10
  • imagesize ==1.2.0
  • packaging ==20.9
  • pyparsing ==2.4.7
  • pytz ==2021.1
  • requests ==2.25.1
  • snowballstemmer ==2.1.0
  • sphinx-rtd-theme ==0.5.2
  • sphinxcontrib-applehelp ==1.0.2
  • sphinxcontrib-devhelp ==1.0.2
  • sphinxcontrib-htmlhelp ==2.0.0
  • sphinxcontrib-jsmath ==1.0.1
  • sphinxcontrib-qthelp ==1.0.3
  • sphinxcontrib-serializinghtml ==1.1.5
  • urllib3 ==1.26.5
pyproject.toml pypi
setup.py pypi