semvec/pypi-packages huggingface dataset:
invenio-queues 1.0.2
"Invenio module for managing queues."
License: MIT
Requires Python: >=3.6
Keywords: invenio TODO

..
    This file is part of Invenio.
    Copyright (C) 2017-2020 CERN.

    Invenio is free software; you can redistribute it and/or modify it
    under the terms of the MIT License; see LICENSE file for more details.


================
 Invenio-Queues
================

.. image:: https://github.com/inveniosoftware/invenio-queues/workflows/CI/badge.svg
        :target: https://github.com/inveniosoftware/invenio-queues/actions?query=workflow%3ACI

.. image:: https://img.shields.io/coveralls/inveniosoftware/invenio-queues.svg
        :target: https://coveralls.io/r/inveniosoftware/invenio-queues

.. image:: https://img.shields.io/pypi/v/invenio-queues.svg
        :target: https://pypi.org/pypi/invenio-queues

Invenio module for managing queues.

Further documentation is available on
https://invenio-queues.readthedocs.io/

..
    This file is part of Invenio.
    Copyright (C) 2017-2023 CERN.
    Copyright (C) 2025 Graz University of Technology.

    Invenio is free software; you can redistribute it and/or modify it
    under the terms of the MIT License; see LICENSE file for more details.


Changes
=======

Version v1.0.2 (released 2025-10-28)

- fix: reusable workflows
- fix(tests): removed deprecation warnings
- fix: tests for python 3.9
- fix: Replaced pkg_resources with importlib
- chore: updated dependencies

Version 1.0.1 (release 2024-01-15)
----------------------------------

- Fix consumer and producer connection closing

Version 1.0.0a2 (release 2020-10-08)
------------------------------------

- Changes license to MIT
- Adds support for Python 3 and dependencies upgrade
- Improves documentation
- Integrates pytest-invenio 1.4

Version 1.0.0a2 (release 2019-11-08)
------------------------------------

- Removes amqp dependency because it breaks pip dependency resolution
  and the same version is already included in kombu

Version 1.0.0a1 (release 2017-08-19)
------------------------------------

- Initial public release.
dataset_load 2025.0.3.0
Custom package with many functionalities
License: MIT
Requires Python: <4.0,>=3.11

# dataset_load

Load dataset using API call and convert json to pandas

## Installation

```bash
$ pip install dataset_load
```

## Usage

- TODO

## Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

## License

`dataset_load` was created by Ananya. It is licensed under the terms of the MIT license.

## Credits

`dataset_load` was created with [`cookiecutter`](https://cookiecutter.readthedocs.io/en/latest/) and the `py-pkgs-cookiecutter` [template](https://github.com/py-pkgs/py-pkgs-cookiecutter).
cardiac-geometries 1.1.8
A python library for cardiac geometries
License: MIT
Requires Python: >=3.6
Keywords: cardiac, geometry, mesh, gmsh

# Cardiac Geometries

This is a library for creating idealized cardiac geometries in FEniCS using `gmsh`.
Currently you can create bi-ventricular (BiV) and left-ventricular (LV) ellipsoidal geometries as well as slab geometries. There is also support for creating bi-ventricular and slab geometries embedded in a torso / bath.


This package can also output analytic fiber orientations for LV and Slab and integrated with the [ldrb](https://github.com/finsberg/ldrb) algorithm BiV geometries.

## Install
User are encourage to use the the [provided docker image](https://github.com/ComputationalPhysiology/cardiac_geometries/pkgs/container/cardiac-geometries)
```
docker pull ghcr.io/computationalphysiology/cardiac-geometries:latest
```
which comes pre-installed with FEniCs and gmsh.

You can also install `cardiac-geometries` using `pip`
```
python3 -m pip install cardiac-geometries
```
but this requires FEniCS and gmsh to be installed in other ways. See more at https://computationalphysiology.github.io/cardiac-geometries/install.html

## Getting started
`cardiac-geometries` comes with a command-line interface, and to e.g create an LV mesh you can do
```
cardiac-geometries create-lv-ellipsoid lv-mesh
```
The same functionality can be accessed through the Python API, e.g
```python
import cardiac_geometries

geo = cardiac_geometries.mesh.create_lv_ellipsoid(outdir="lv-mesh")
```
See https://computationalphysiology.github.io/cardiac-geometries/quickstart.html for more info.


## Documentation
Please read the documentation at http://computationalphysiology.github.io/cardiac-geometries for more info.

## Contributing
See https://computationalphysiology.github.io/cardiac-geometries/CONTRIBUTING.html

## License
MIT