Skip to main content

Generated from aind-library-template

Project description

lc_reconstruction_analysis

License Code Style semantic-release: angular Interrogate Coverage Python

Usage

  • To use this template, click the green Use this template button and Create new repository.
  • After github initially creates the new repository, please wait an extra minute for the initialization scripts to finish organizing the repo.
  • To enable the automatic semantic version increments: in the repository go to Settings and Collaborators and teams. Click the green Add people button. Add svc-aindscicomp as an admin. Modify the file in .github/workflows/tag_and_publish.yml and remove the if statement in line 65. The semantic version will now be incremented every time a code is committed into the main branch.
  • To publish to PyPI, enable semantic versioning and uncomment the publish block in .github/workflows/tag_and_publish.yml. The code will now be published to PyPI every time the code is committed into the main branch.
  • The .github/workflows/test_and_lint.yml file will run automated tests and style checks every time a Pull Request is opened. If the checks are undesired, the test_and_lint.yml can be deleted. The strictness of the code coverage level, etc., can be modified by altering the configurations in the pyproject.toml file and the .flake8 file.

Installation

To use the software, in the root directory, run

pip install -e .

To develop the code, run

pip install -e .[dev]

Contributing

Linters and testing

There are several libraries used to run linters, check documentation, and run tests.

  • Please test your changes using the coverage library, which will run the tests and log a coverage report:
coverage run -m unittest discover && coverage report
  • Use interrogate to check that modules, methods, etc. have been documented thoroughly:
interrogate .
  • Use flake8 to check that code is up to standards (no unused imports, etc.):
flake8 .
  • Use black to automatically format the code into PEP standards:
black .
  • Use isort to automatically sort import statements:
isort .

Pull requests

For internal members, please create a branch. For external members, please fork the repository and open a pull request from the fork. We'll primarily use Angular style for commit messages. Roughly, they should follow the pattern:

<type>(<scope>): <short summary>

where scope (optional) describes the packages affected by the code changes and type (mandatory) is one of:

  • build: Changes that affect build tools or external dependencies (example scopes: pyproject.toml, setup.py)
  • ci: Changes to our CI configuration files and scripts (examples: .github/workflows/ci.yml)
  • docs: Documentation only changes
  • feat: A new feature
  • fix: A bugfix
  • perf: A code change that improves performance
  • refactor: A code change that neither fixes a bug nor adds a feature
  • test: Adding missing tests or correcting existing tests

Semantic Release

The table below, from semantic release, shows which commit message gets you which release type when semantic-release runs (using the default configuration):

Commit message Release type
fix(pencil): stop graphite breaking when too much pressure applied Patch Fix Release, Default release
feat(pencil): add 'graphiteWidth' option Minor Feature Release
perf(pencil): remove graphiteWidth option

BREAKING CHANGE: The graphiteWidth option has been removed.
The default graphite width of 10mm is always used for performance reasons.
Major Breaking Release
(Note that the BREAKING CHANGE: token must be in the footer of the commit)

Documentation

To generate the rst files source files for documentation, run

sphinx-apidoc -o docs/source/ src

Then to create the documentation HTML files, run

sphinx-build -b html docs/source/ docs/build/html

More info on sphinx installation can be found here.

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

lc_reconstruction_analysis-0.0.7.tar.gz (43.7 kB view details)

Uploaded Source

Built Distribution

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

lc_reconstruction_analysis-0.0.7-py3-none-any.whl (14.6 kB view details)

Uploaded Python 3

File details

Details for the file lc_reconstruction_analysis-0.0.7.tar.gz.

File metadata

File hashes

Hashes for lc_reconstruction_analysis-0.0.7.tar.gz
Algorithm Hash digest
SHA256 fb4f6cb6de61aba7a487f3051edd40cce4c768761d7af8252792b9bc9e206c72
MD5 e8ffbb25506e74b24836922c22c4e25e
BLAKE2b-256 36193c0729b75908e73c7e7743215c187fa62306ba5877298556bdaf19a0c09e

See more details on using hashes here.

File details

Details for the file lc_reconstruction_analysis-0.0.7-py3-none-any.whl.

File metadata

File hashes

Hashes for lc_reconstruction_analysis-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 ca36ccc4dcc052cc39ac9de9dfa844b3076983c79bbd7c6694fdc81ca1c5a83c
MD5 bd8f77cd8c9ffa9b2f3da6c6c098b72b
BLAKE2b-256 aaf6dcca5dc42ba1d00ebf1a116560f618d8c94eb69a20e69873693ac1c02fcf

See more details on using hashes here.

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