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automata #152

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@eliotwrobson

Description

@eliotwrobson

Submitting Author: Eliot Robson (@eliotwrobson)
All current maintainers: (@eliotwrobson, @caleb531)
Package Name: automata
One-Line Description of Package: A Python library for simulating finite automata, pushdown automata, and Turing machines.
Repository Link: https://github.com/caleb531/automata
Version submitted: v8.2.0
EiC: @isabelizimm
Editor: @sneakers-the-rat
Reviewers: @phildong , @irisdyoung, @NimaSarajpoor
Reviews Expected By: March 28th, 2024
Archive: DOI
Version accepted: 8.4.0 (repo, pypi, archive)
Date accepted (month/day/year): 06/29/2024


Code of Conduct & Commitment to Maintain Package

Description

  • Include a brief paragraph describing what your package does:

Automata is a Python 3 library implementing structures and algorithms for manipulating finite automata, pushdown automata, and Turing machines. The algorithms have been optimized and are capable of processing large inputs. Visualization logic has also been implemented.

Scope

  • Please indicate which category or categories.
    Check out our package scope page to learn more about our
    scope. (If you are unsure of which category you fit, we suggest you make a pre-submission inquiry):

    • Data retrieval
    • Data extraction
    • Data processing/munging
    • Data deposition
    • Data validation and testing
    • Data visualization1
    • Workflow automation
    • Citation management and bibliometrics
    • Scientific software wrappers
    • Database interoperability

Domain Specific & Community Partnerships

- [ ] Geospatial
- [x] Education
- [ ] Pangeo

Community Partnerships

If your package is associated with an
existing community please check below:

  • For all submissions, explain how the and why the package falls under the categories you indicated above. In your explanation, please address the following points (briefly, 1-2 sentences for each):

    • Who is the target audience and what are scientific applications of this package?

This package is suitable for both researchers wishing to manipulate automata and for instructors teaching courses on theoretical computer science. Automata (especially finite automata) are important models in computing that appear in a variety of educational and research contexts, and the ability to manipulate them with this package is valuable to this effort.

  • Are there other Python packages that accomplish the same thing? If so, how does yours differ?

There are some smaller packages with similar scope (for example here), but automata is the most popular, best maintained, and most feature-rich.

  • If you made a pre-submission enquiry, please paste the link to the corresponding issue, forum post, or other discussion, or @tag the editor you contacted:

#135

  • Any other questions or issues we should be aware of:

Although I am not the primary repository owner (that is @caleb531), he has given me permission to make this submission and be a long-term point of contact as-needed. Additionally, our documentation page is brand-new, so we anticipate some rough edges, and hope that feedback from this review can be used to improve the usability and add examples. Automata also already appeared in JOSS, so that is why those items have been left blank here even though the writeup is present in the repository.

Technical checks

For details about the pyOpenSci packaging requirements, see our packaging guide. Confirm each of the following by checking the box. This package:

  • does not violate the Terms of Service of any service it interacts with.
  • uses an OSI approved license.
  • contains a README with instructions for installing the development version.
  • includes documentation with examples for all functions.
  • contains a tutorial with examples of its essential functions and uses.
  • has a test suite.
  • has continuous integration setup, such as GitHub Actions CircleCI, and/or others.

Publication Options

JOSS Checks
  • The package has an obvious research application according to JOSS's definition in their submission requirements. Be aware that completing the pyOpenSci review process does not guarantee acceptance to JOSS. Be sure to read their submission requirements (linked above) if you are interested in submitting to JOSS.
  • The package is not a "minor utility" as defined by JOSS's submission requirements: "Minor ‘utility’ packages, including ‘thin’ API clients, are not acceptable." pyOpenSci welcomes these packages under "Data Retrieval", but JOSS has slightly different criteria.
  • The package contains a paper.md matching JOSS's requirements with a high-level description in the package root or in inst/.
  • The package is deposited in a long-term repository with the DOI:

Note: JOSS accepts our review as theirs. You will NOT need to go through another full review. JOSS will only review your paper.md file. Be sure to link to this pyOpenSci issue when a JOSS issue is opened for your package. Also be sure to tell the JOSS editor that this is a pyOpenSci reviewed package once you reach this step.

Are you OK with Reviewers Submitting Issues and/or pull requests to your Repo Directly?

This option will allow reviewers to open smaller issues that can then be linked to PR's rather than submitting a more dense text based review. It will also allow you to demonstrate addressing the issue via PR links.

  • Yes I am OK with reviewers submitting requested changes as issues to my repo. Reviewers will then link to the issues in their submitted review.

Confirm each of the following by checking the box.

  • I have read the author guide.
  • I expect to maintain this package for at least 2 years and can help find a replacement for the maintainer (team) if needed.

Please fill out our survey

P.S. Have feedback/comments about our review process? Leave a comment here

Editor and Review Templates

The editor template can be found here.

The review template can be found here.

Footnotes

  1. Please fill out a pre-submission inquiry before submitting a data visualization package.

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