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After you've reviewed these contribution guidelines, you'll be all set to contribute to this project.

Development Environment

We recommend a virtual python environment for development, a more detailed description of the setup process can be found in the docs.

Testing

SaQC comes with an extensive test suite based on pytest. In order to run all tests execute python -m pytest ., for faster iteration a test run with python -m pytest --ignore test/lib test is usually enough.

Coding conventions

Naming

Code

We implement the following naming conventions:

  • Classes: CamelCase
  • Functions: camelCase
  • Variables/Arguments: snake_case

Argument names in public functions signatures

First, in contrast to variable names in code, it is not necessary to have talking function argument names. A user is always expected to have had acknowledged the documentation. Using and parameterizing a function, just by guessing the meaning of the argument names, without having read the documentation, will almost never work. That is the reason, why we dont have the obligation to make names (very) talkative.

Second, from the nature of a function to deliver a simple way of using complex code, it follows, that simple and short names are to prefer. This means, the encoding of irrelevant informations in names should be omitted.

For example, take a function of three arguments, that fits a polynomial to some data. Lets say we have:

  • the data input,
  • a threshold, that defines a cutoff point for a calculation on a polynomial and
  • a third argument.

One could name the corresponding arguments: data, poly_cutoff_threshold, .... However, much better names would be: data, thresh, ..., because a caller that is aware of a functions documentation doesnt need the extra information, encoded in the name. If the third argument is also some kind of threshold, one can use data, cutoff, thresh, because the thresh- information of the cutoff parameter is not crucial, and the caller knows that this is a threshold from having studied the docstring, anyways.

Third, underscores give a nice implicit feedback, on whether one is doing wrong or getting over complex in the naming behavior. To have no underscore, is just fine. Having one underscore, is ok, if the encoded information appended through the underscore is really necessary (see above). If one uses two or more underscores, one should think of a better naming or omit some information. Sure, although it is seldom, it might sometimes be necessary to use two underscores, but still the usage of two underscores is considered bad style. Using three or more underscores is not allowed unless having issued a exhaustive and accepted (by at least one core developer per underscore) reasoning.

In short, the naming should give a very, very rough idea of the purpose of the argument, but not explain the usage or the purpose. It is not a shame to name a parameter just n or alpha etc., if, for example, the algorithm (from the paper etc.) names it alike.

Test Functions

  • testnames: [testmodule_]flagTestName

Formatting

We use black in its default settings. Within the saqc root directory run black ..

Imports

Only absolute imports are accepted.

Development Workflow

Repository Structure

  • master - branch:
    • Stable and usually protected.
    • Regular merges from develop, these merges are tagged and increasing at least the minor version.
    • Irregular merges from develop in case of critical bugs. Such merges increase at least the patch level.
    • Merges into master usually lead to a PyPI release.
  • develop - branch:
    • The main development branch, no hard stability requirements/guarantees.
    • Merges into develop should mostly follow a Merge Request Workflow, minor changes can however be committed directly. Such minor changes include:
      • Typos and white space changes
      • Obvious bug in features implemented by the committing developer

Merge Request Workflow

  • Most changes to saqc are integrated by merge requests from a feature branch into develop
  • All merge requests need to be reviewed by at least one other core developer (currently @palmb, @luenensc and @schaefed).
  • We implement the following Gitlab based review process:
    • The author assigns the Merge Request to one of the core developers. The reviewer should review the request within one week, large requests may of course lead to longer review times.
    • Reviewer and Author discuss any issues using the Gitlab code review facilities:
      • In case all concerns are resolved, the reviewer approves the Merge Request and assigns it back to the author.
      • In case reviewer and author can't resolve their discussion, the Merge Request should be assigned to another reviewer. The new reviewer is now in charge to come to a decision, by either approving, closing or going into another review iteration.
    • The author of an approved Merge Request:
      • has the right and the duty to merge into the develop branch, any occurring conflicts need to be addressed by the author,
      • is always highly encouraged to provide a summary of the changes introduced with the Merge Request in its description upon integration. This recommandation becomes an obligation in case of interface modification or changes to supported and/or documented workflows.

Release Cycle

  • We employ a release cycle of roughly 4 weeks.
  • To avoid the avoid the integration of untested and/or broken changes, the merge window closes one week before the intended release date. Commits to develop after the merge window of a release closes need to be integrated during the subsequent release cycle
  • The release cycle is organized by Gitlab Milestones, the expiration date of a certain milestone indicates the end of the related merge window, the actual merge into master and the accompanying release is scheduled for the week after the milestones expiration date.
  • Issues and Merge Requests can and should be associated to these milestone as this help in the organization of review activities.