lc_reconstruction_analysis

Code Style 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.

Metadata

Release files for lc-reconstruction-analysis 0.0.34

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for lc-reconstruction-analysis 0.0.34
File	Size	Uploaded
lc_reconstruction_analysis-0.0.34.tar.gz	65.8 kB	Jul 14, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for lc-reconstruction-analysis 0.0.34
File	Interpreter	ABI	Platform	Reset
lc_reconstruction_analysis-0.0.34-py3-none-any.whl 41.0 kB Jul 14, 2026	Python 3	none	any	Details

Total release size: 106.8 kB

Release files / lc_reconstruction_analysis-0.0.34.tar.gz

Download URL	lc_reconstruction_analysis-0.0.34.tar.gz
Size	65.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`f165a04ae174f66b32cc82c372b845d19b41b8faf8364aa2841b6f4091d8ece8`
BLAKE2b-256 checksum How to use checksums	`8297ac981838a6a557570cb0db5e868098063ab44903e85546f84d480cb4ca04`
Upload date	Jul 14, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Release files / lc_reconstruction_analysis-0.0.34-py3-none-any.whl

Download URL	lc_reconstruction_analysis-0.0.34-py3-none-any.whl
Size	41.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`fbdd950c8f394fe9337c9322004e1e7f66e99ddce0eed709324a5d00c16b62d1`
BLAKE2b-256 checksum How to use checksums	`697b3346f8da78d1de69520e014c114c9343797388d37ca44dfcfb97d053156c`
Upload date	Jul 14, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.1.0 CPython/3.13.12`