semvec/pypi-packages huggingface dataset:
veros-bgc 0.1.3
Biogeochemistry plugin for Veros, the versatile ocean simulator.
License: MIT
Requires Python: >3.5.2
Keywords: oceanography python parallel numpy multi-core geophysics ocean-model bohrium mpi4py biogeochemistry

[![Documentation Status](https://readthedocs.org/projects/veros-bgc/badge/?version=latest)](https://veros-bgc.readthedocs.io/en/latest/?badge=latest)

# Veros-BGC
A biogeochemistry plugin for Veros, based on MOBI.

## Quick usage

```bash
$ pip install veros veros-bgc
$ veros copy-setup bgc_global_4deg --to /tmp/bgc-4deg
$ cd /tmp/bgc-4deg
$ python bgc_global_four_degree.py
```

## Credits

Veros-BGC is based on [MOBI](http://people.oregonstate.edu/~schmita2/Models/MOBI/index.html) by [Andreas Schmittner](http://people.oregonstate.edu/~schmita2/), Oregon State University.

[Steffen Randrup](https://github.com/SteffenRandrup) created Veros-BGC as a part of his Master's thesis.
larkjs 0.0.2
An extension to Lark that generates a Javascript standalone
License: MIT

# Lark.js - a port of the Lark parsing toolkit to Javascript

Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.

With Lark.js, you create a fast Javascript parser from a grammar written for Lark.

The compiled Javascript modules include Lark's base classes and utilities, such as `Tree`, `Transformer`, and `InteractiveParser`.

Currently, only LALR(1) is supported. (Earley support is planned!)

### Quick links

- [Lark (Python)](https://https://github.com/lark-parser/lark)
- [Cheatsheet (PDF)](/docs/_static/lark_cheatsheet.pdf)
- [Online IDE](https://lark-parser.github.io/ide)
- [Gitter chat](https://gitter.im/lark-parser/Lobby)

### Install Lark.js

    $ pip install lark-js --upgrade

[![Build Status](https://travis-ci.org/lark-parser/lark.svg?branch=master)](https://travis-ci.org/lark-parser/lark)

### Generate a Javascript LALR(1) parser

```bash
	python -m lark-js my_grammar.lark -o my_parser.js
```

For help, run:

```bash
	python -m lark-js --help
```

### Syntax Highlighting

Lark provides syntax highlighting for its grammar files (\*.lark):

- [Sublime Text & TextMate](https://github.com/lark-parser/lark_syntax)
- [vscode](https://github.com/lark-parser/vscode-lark)
- [Intellij & PyCharm](https://github.com/lark-parser/intellij-syntax-highlighting)
- [Vim](https://github.com/lark-parser/vim-lark-syntax)
- [Atom](https://github.com/Alhadis/language-grammars)


## List of main features

 - Builds a parse-tree (AST) automagically, based on the structure of the grammar
 - **LALR(1)** parser - Fast and light
 - **EBNF** grammar
 - Usable in the browser and in Node
 - Automatic line & column tracking
 - Standard library of terminals (strings, numbers, names, etc.)
 - Import grammars from Nearley.js ([read more](/docs/tools.md#importing-grammars-from-nearleyjs))
 - And much more!

## License

Lark.js uses the [MIT license](LICENSE).

## Contribute

Lark.js is accepting pull-requests. If you would like to help, open an issue or find us on gitter.

## Sponsoring

Lark.js was made possible with the help of a generous donation by [Smore](https://www.smore.com/) ❤️

If you like Lark, and want to see it grow, please consider [sponsoring us!](https://github.com/sponsors/lark-parser)
videofy 0.1.1
Videofy
License: MIT
Requires Python: >=3.6.1,<4.0.0

Videofy
=======

|PyPI| |Status| |Python Version| |License|

|Read the Docs| |Tests| |Codecov|

|pre-commit| |Black|

.. |PyPI| image:: https://img.shields.io/pypi/v/videofy.svg
   :target: https://pypi.org/project/videofy/
   :alt: PyPI
.. |Status| image:: https://img.shields.io/pypi/status/videofy.svg
   :target: https://pypi.org/project/videofy/
   :alt: Status
.. |Python Version| image:: https://img.shields.io/pypi/pyversions/videofy
   :target: https://pypi.org/project/videofy
   :alt: Python Version
.. |License| image:: https://img.shields.io/pypi/l/videofy
   :target: https://opensource.org/licenses/MIT
   :alt: License
.. |Read the Docs| image:: https://img.shields.io/readthedocs/videofy/latest.svg?label=Read%20the%20Docs
   :target: https://videofy.readthedocs.io/
   :alt: Read the documentation at https://videofy.readthedocs.io/
.. |Tests| image:: https://github.com/Daem0n-th/videofy/workflows/Tests/badge.svg
   :target: https://github.com/Daem0n-th/videofy/actions?workflow=Tests
   :alt: Tests
.. |Codecov| image:: https://codecov.io/gh/Daem0n-th/videofy/branch/main/graph/badge.svg
   :target: https://codecov.io/gh/Daem0n-th/videofy
   :alt: Codecov
.. |pre-commit| image:: https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white
   :target: https://github.com/pre-commit/pre-commit
   :alt: pre-commit
.. |Black| image:: https://img.shields.io/badge/code%20style-black-000000.svg
   :target: https://github.com/psf/black
   :alt: Black


Features
--------

* TODO


Requirements
------------

* TODO


Installation
------------

You can install *Videofy* via pip_ from PyPI_:

.. code:: console

   $ pip install videofy


Usage
-----

Please see the `Command-line Reference <Usage_>`_ for details.


Contributing
------------

Contributions are very welcome.
To learn more, see the `Contributor Guide`_.


License
-------

Distributed under the terms of the `MIT license`_,
*Videofy* is free and open source software.


Issues
------

If you encounter any problems,
please `file an issue`_ along with a detailed description.


Credits
-------

This project was generated from `@cjolowicz`_'s `Hypermodern Python Cookiecutter`_ template.

.. _@cjolowicz: https://github.com/cjolowicz
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _MIT license: https://opensource.org/licenses/MIT
.. _PyPI: https://pypi.org/
.. _Hypermodern Python Cookiecutter: https://github.com/cjolowicz/cookiecutter-hypermodern-python
.. _file an issue: https://github.com/Daem0n-th/videofy/issues
.. _pip: https://pip.pypa.io/
.. github-only
.. _Contributor Guide: CONTRIBUTING.rst
.. _Usage: https://videofy.readthedocs.io/en/latest/usage.html
cyleb128 0.1.3
Fast LEB128 implementation in cython
License: MIT
Keywords: python,leb128,cython

LEB128
======

Cython implementation LEB128 varint serialization format.

Installation
------------

```shell
pip install cyleb128
```

Example
-------

```python
from leb128 import LEB128S, LEB128U

# Signed integer
print(LEB128S.encode(-123))
print(LEB128S.decode(LEB128S.encode(-321)))

# Unsigned integer
print(LEB128U.encode(123))
print(LEB128U.decode(LEB128S.encode(123)))
```