semvec/pypi-packages huggingface dataset:
earth2-api-wrapper 0.2.1
Unofficial Earth2 API wrapper with CLI (Python). Includes comprehensive safeguards to protect Earth2's bandwidth.
Requires Python: >=3.9
Keywords: earth2, api, wrapper

# earth2-api-wrapper (Python)

Unofficial Earth2 API wrapper with CLI. Read-only operations. Excludes raiding/dispensing/charging/jewel/civilian automation.

Dev install:

```bash
pip install -e .
python -m earth2_api_wrapper.cli trending
```

Environment variables when needed:
- E2_COOKIE
- E2_CSRF

Examples:
```bash
# Trending
python -m earth2_api_wrapper.cli trending

# Property
python -m earth2_api_wrapper.cli property <uuid>

# Market search
python -m earth2_api_wrapper.cli market --country AU --tier 1 --tile-count 5-50 --items 100

# Leaderboard
python -m earth2_api_wrapper.cli leaderboard --type players --sort-by tiles_count --country AU

# Resources
python -m earth2_api_wrapper.cli resources <uuid>
```
torii-boards 0.8.1
Supplementary FPGA Board Files for Torii
Requires Python: >=3.11
Keywords: Torii, HDL, FPGA

# Torii-HDL Board Definitions

This package contains a collection of board definitions for [Torii], primarily FPGA evaluation boards, but other board files are also planned and welcome to help expand the ecosystem.

## Community

The two primary community spots for Torii and by extension Torii Boards are the `#torii` IRC channel on [libera.chat] (`irc.libera.chat:6697`) which you can join via your favorite IRC client or the [web chat], and the [discussion forum] on GitHub.

Please do join and share your projects using Torii, ask questions, get help with problems, or discuss development.

## License

Torii Boards is released under the [BSD-2-Clause], the full text of which can be found in the [`LICENSE`] file in the root of the [git repository].

The Torii Boards documentation is dual licensed under the [BSD-2-Clause] for all past contributions and the [CC-BY-SA 4.0] for all new and future contributions. The full text of the [CC-BY-SA 4.0] can be found in the [`LICENSE.docs`] file in the root of the [git repository].

[Torii]: https://github.com/shrine-maiden-heavy-industries/torii-hdl
[libera.chat]: https://libera.chat/
[web chat]: https://web.libera.chat/#torii
[discussion forum]: https://github.com/shrine-maiden-heavy-industries/torii-boards/discussions
[BSD-2-Clause]: https://spdx.org/licenses/BSD-2-Clause.html
[`LICENSE`]: https://github.com/shrine-maiden-heavy-industries/torii-boards/blob/main/LICENSE
[CC-BY-SA 4.0]: https://creativecommons.org/licenses/by-sa/4.0/
[`LICENSE.docs`]: https://github.com/shrine-maiden-heavy-industries/torii-boards/blob/main/LICENSE.docs
[git repository]: https://shrine-maiden-heavy.industries/torii-boards
boolevard 0.1.1
BooLEVARD: Boolean Logical Evaluation of Activation and Represion in Directed pathways

# BooLEVARD

[![Logo](https://raw.githubusercontent.com/farinasm/boolevard/main/docs/Logo.svg)](https://github.com/farinasm/boolevard/)

[![PyPI version](https://img.shields.io/pypi/v/boolevard)](PYPIPACKAGE)
[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://github.com/farinasm/boolevard/blob/main/LICENSE/)
[![Documentation](https://img.shields.io/badge/docs-latest-brightgreen.svg)](https://github.com/farinasm/boolevard/)

BooLEVARD is a Python package designed to compute the number of paths leading to node activations or inactivations in Boolean models.

## Features
- Import Boolean models in `.bnet` format.
- Compute the number of paths leading to the local states of a list of nodes.
- Perform model perturbations.
- Export back models to `.bnet`format.

## Instalation from PyPI:

To install BooLEVARD from PyPi, install the main package using pip:

```bash
pip install boolevard
```

The dependencies can be installed by running the following code:

```bash
pip install -r https://raw.githubusercontent.com/farinasm/boolevard/main/requirements.txt
```

## Installation with conda

To install BooLEVARD using conda, install the main package using conda:

```bash
conda install farinasm::boolevard
```

## Installation from source

To install the latest development version, BooLEVARD can also be installed from the source:

```bash
git clone https://github.com/farinasm/boolevard.git
cd boolevard
pip install .
pip install -r requirements.txt
```

## Documentation
For full BooLEVARD documentaiton visit our [GitHub Documentation](https://farinasm.github.io/boolevard) page.

A quick tutorial is available [here](https://github.com/farinasm/boolevard/tree/main/tutorial).

## Citing BooLEVARD and Contributors

*Fariñas, M et al. (2025): BooLEVARD: Boolean Logical Evaluation of Activation and Repression in Directed pathways. [DOI: 10.1101/2025.03.24.644921](https://doi.org/10.1101/2025.03.24.644921)*

**Contributors:** Marco Fariñas, Eirini Tsirvouli, John Zobolas, Tero Aittokallio, Åsmund Flobak, Kaisa Lehti.

**Contact:** Marco Fariñas - farinasm.git@gmail.com