semvec/pypi-packages huggingface dataset:
seadex 0.7.2
Python wrapper for the SeaDex API.
Requires Python: >=3.10
Keywords: anime, releases.moe, seadex

<br/>
<p align="center">
  <a href="https://github.com/Ravencentric/seadex">
    <img src="https://raw.githubusercontent.com/Ravencentric/seadex/refs/heads/main/docs/assets/logo.png" alt="Logo" width="200">
  </a>
  <p align="center">
    Python wrapper for the SeaDex API.
  </p>
</p>

<div align="center">

[![PyPI - Version](https://img.shields.io/pypi/v/seadex?link=https%3A%2F%2Fpypi.org%2Fproject%2Fseadex%2F)](https://pypi.org/project/seadex/)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/seadex)
![License](https://img.shields.io/github/license/Ravencentric/seadex)
![PyPI - Types](https://img.shields.io/pypi/types/seadex)

![GitHub Workflow Status (with event)](https://img.shields.io/github/actions/workflow/status/Ravencentric/seadex/release.yml)
![GitHub Actions Workflow Status](https://img.shields.io/github/actions/workflow/status/ravencentric/seadex/tests.yml?label=tests)
[![codecov](https://codecov.io/gh/Ravencentric/seadex/graph/badge.svg?token=B45ODO7TEY)](https://codecov.io/gh/Ravencentric/seadex)

</div>

## Table Of Contents

* [About](#about)
* [Installation](#installation)
* [Docs](#docs)
* [License](#license)

## About

Python wrapper for the [SeaDex API](https://releases.moe/about/).

## Installation

`seadex` is available on [PyPI](https://pypi.org/project/seadex/), and can be installed using [pip](https://pip.pypa.io/en/stable/installation/).

1. To install the core library:

    ```sh
    pip install seadex
    ```

2. `seadex` includes optional dependencies that enable additional features. You can install these extras alongside the core library.

    - To enable the `SeaDexTorrent` class, which handles `.torrent` files:

        ```sh
        pip install "seadex[torrent]"
        ```

    - To enable the CLI:

        - With [`pipx`](https://pipx.pypa.io/stable/) or [`uv`](https://docs.astral.sh/uv/guides/tools/#installing-tools) (recommended for CLIs):

            ```sh
            pipx install "seadex[cli]"
            ```
            ```sh
            uv tool install "seadex[cli]"
            ```

        - With `pip`:

            ```sh
            pip install "seadex[cli]"
            ```

## Docs

Checkout the complete documentation [here](https://ravencentric.cc/seadex//).

## License

Distributed under the [MIT](https://choosealicense.com/licenses/mit/) License. See [LICENSE](https://github.com/Ravencentric/seadex/blob/main/LICENSE) for more information.
averager 3.1.0
A simple Python library to calculate averages of values.
Requires Python: >=3.9

# Averager

**Averager** is a simple Python library to calculate averages of values.

```python
>>> import averager
>>> averager.average(1, 2, 3)
2
>>> averager.weighted_average((1, 2), (2, 3))
1.6
>>> averager.median(5, 1, 2)
2
>>> averager.mode(1, 2, 4, 3, 3)
3
```

> [!WARNING]
> Averager is deprecated, and no new features will be added. Please use the built-in [
`statistics` module][statistics] for similar functionality and more.

[![Total Downloads](https://img.shields.io/pepy/dt/averager)][pypi]
[![Supported Versions](https://img.shields.io/pypi/pyversions/averager.svg)][pypi]
[![Testing Status](https://img.shields.io/github/actions/workflow/status/bsoyka/averager/test.yml?branch=main&label=tests)][testing]
[![Coverage](https://img.shields.io/codecov/c/github/bsoyka/averager)][codecov]
[![GitHub last commit](https://img.shields.io/github/last-commit/bsoyka/averager)][github]

## Installation and usage

Averager is [available on PyPI][pypi].
Install it with your preferred package manager:

```sh
$ uv add averager
$ pip install averager
```

Averager officially supports Python 3.9+.

**[Read the documentation][docs]** to learn how to use Averager.

[codecov]: https://codecov.io/github/bsoyka/averager

[docs]: https://averager.readthedocs.io

[github]: https://github.com/bsoyka/averager

[license]: https://github.com/bsoyka/averager/blob/master/LICENSE

[pypi]: https://pypi.org/project/averager/

[statistics]: https://docs.python.org/3/library/statistics.html

[testing]: https://github.com/bsoyka/averager/actions/workflows/test.yml
PhenoGO 0.1.0
PhenoGO: A tool to build WEKA-ready ARFF files from model organism phenotype and Gene Ontology (GO) annotations.
Requires Python: >=3.6
Keywords: phenotype, gene ontology, GO, WEKA, ARFF, machine learning, model organism

# PhenGO

## Overview

This project provides a unified Python-based tool to generate ready-to-use WEKA ARFF formatted files, specifically designed for machine learning applications involving gene essentiality prediction. 
The tool integrates phenotype data and Gene Ontology (GO) annotations for genes from selected model organisms, streamlining the data preparation process.

## Purpose

The main goal of this project is to simplify and standardise the creation of ARFF files that combine phenotype information with GO-mapped gene data. 
This enables researchers to efficiently apply machine learning techniques (using WEKA or similar platforms) to analyse gene essentiality and related biological questions across various model organisms.

## Features

- **Unified Workflow:** Handles data collection, integration, and formatting in a single pipeline.
- **Model Organism Support:** Designed for commonly studied organisms (e.g., *Saccharomyces cerevisiae*, *Mus musculus*).
- **GO Annotation Integration:** Maps genes to their respective GO terms for comprehensive feature representation and traces obo files to acquire parent terms.
- **Phenotype Data Inclusion:** Incorporates phenotype labels for supervised learning tasks.
- **WEKA ARFF Output:** Produces files in the ARFF format, ready for immediate use in WEKA.
stashcookie 0.1.7
store big files to amazon glacier

## About

- gitlfs for cheapskates
- Make a list of big files in your repo in .cookie_files.txt
- Use cookie jar to ensure they are synced with s3
- Uses aws `DEEP_ARCHIVE` by default

### Installation
`pip install stashcookie` and also configure awscli

### Use

- `cookie init`

- Fill out `.cookie_files.txt` which is a list of files

- `cookie upload` to upload an individual file
- `cookie upload-all` to upload everyting in `.cookie_files.txt`
- `cookie check` to verify that things are on s3


### Notes
- Inspired by `https://cookiecutter-data-science.drivendata.org/`