semvec/pypi-packages huggingface dataset:
snakemake-storage-plugin-xrootd 1.0.0
A Snakemake storage plugin for XRootD storage
Requires Python: >=3.11

# Snakemake storage plugin: XRootD

A Snakemake storage plugin for XRootD storage.
For documentation and usage instructions, see the [Snakemake plugin catalog](https://snakemake.github.io/snakemake-plugin-catalog/plugins/storage/xrootd.html).
releng-tool 2.7.0
A tool to manage the building of packages
Requires Python: >=3.9

# releng-tool

[![pip Version](https://badgen.net/pypi/v/releng-tool?label=PyPI)](https://pypi.python.org/pypi/releng-tool)
[![Build Status](https://github.com/releng-tool/releng-tool/actions/workflows/build.yml/badge.svg)](https://github.com/releng-tool/releng-tool/actions/workflows/build.yml)
[![Tools Status](https://github.com/releng-tool/releng-tool/actions/workflows/check-tools.yml/badge.svg)](https://github.com/releng-tool/releng-tool/actions/workflows/check-tools.yml)
[![Documentation](https://badgen.net/badge/Documentation/releng.io/333333)](https://docs.releng.io)

## Overview

releng-tool aims to provide a way for developers to tailor the building of
multiple software components to help prepare packages for desired runtime
environments (e.g. cross-platform portable packages, embedded targets, etc.).
When building a package, assets may be located in multiple locations and may
require various methods to extract, build and more. releng-tool allows
developers to define a set of packages, specifying where resources should be
fetched from, how packages should be extracted and the processes for
patching, configuring, building and installing each package for a target
sysroot.

The structure of a package depends on the specific project. The simplest
type is a script-based package, where users can define custom scripts for
various stages. A package does not need to handle every stage. Helper
package types are available (e.g. Autotools, Cargo, CMake, Make, Meson,
various Python types and SCons) for projects using common build systems.

For detailed documentation on the releng-tool project, see
[releng-tool's documentation][releng-tool-doc].

## Requirements

* [Python][python] 3.9+

Host tools such as [Git][git], scp, etc. may be required depending on the
project being processed (e.g. if a package's sources fetch from a Git source,
a Git client tool is required to perform said fetch).

## Installation

This tool can be installed using [pip][pip] or [pipx][pipx]:

```shell
pipx install releng-tool
 (or)
pip install -U releng-tool
 (or)
python -m pip install -U releng-tool
```

For Arch Linux users, this package is also available on AUR:

> Arch User Repository — releng-tool \
> https://aur.archlinux.org/packages/releng-tool/

## Usage

This tool can be invoked from a command line using:

```shell
releng-tool --help
 (or)
python -m releng-tool --help
```

## Demonstration

Users can follow the tutorials found in the documentation:

> releng-tool — Tutorials \
> https://docs.releng.io/getting-started/tutorials/

Or may inspect various test examples demonstrating various capabilities:

> releng-tool — Examples Repository \
> https://github.com/releng-tool/releng-tool-examples


[git]: https://git-scm.com/
[pip]: https://pip.pypa.io/
[pipx]: https://pipx.pypa.io/
[python]: https://www.python.org/
[releng-tool-doc]: https://docs.releng.io/
jax-shapeguard 0.3.0
Runtime shape contracts and diagnostics for NumPy and JAX
Requires Python: >=3.10
Keywords: debugging, jax, ml, numpy, shapes, validation

# ShapeGuard

[![Tests](https://github.com/jayendra13/jax-shape-guard/actions/workflows/test.yml/badge.svg)](https://github.com/jayendra13/jax-shape-guard/actions/workflows/test.yml)
[![Lint](https://github.com/jayendra13/jax-shape-guard/actions/workflows/lint.yml/badge.svg)](https://github.com/jayendra13/jax-shape-guard/actions/workflows/lint.yml)
[![PyPI version](https://img.shields.io/pypi/v/shapeguard.svg)](https://pypi.org/project/shapeguard/)
[![Python versions](https://img.shields.io/pypi/pyversions/shapeguard.svg)](https://pypi.org/project/shapeguard/)
[![License](https://img.shields.io/github/license/jayendra13/jax-shape-guard.svg)](https://github.com/jayendra13/jax-shape-guard/blob/main/LICENSE)

Runtime shape contracts and diagnostics for NumPy and JAX.

## Installation

```bash
pip install shapeguard
```

## Quick Start

```python
from shapeguard import Dim, expects

n, m, k = Dim("n"), Dim("m"), Dim("k")

@expects(a=(n, m), b=(m, k))
def matmul(a, b):
    return a @ b
```

When shapes don't match, you get clear errors:

```
ShapeGuardError:
  function: matmul
  argument: b
  expected: (m, k)
  actual:   (5, 7)
  reason:   dimension 'm' bound to 4 from a.shape[1], but got 5 from b.shape[0]
```

## License

MIT
mi-maica 1.2.4.post1
MAICA Illuminator (Backend)
Requires Python: >=3.12

<h1 align="center">MAICA-幻象引擎</h1>
<div align="center">
<img src="https://maica.monika.love/assets/maica-text-finish-p.png" width=150>
</div>

***

<p align="center">中文 | <a href="/README_EN.md">English</a></p>

本页面是MAICA的指引页面, 当前位置是MAICA后端仓库.

MAICA项目的详细介绍页是https://maica.monika.love/.

要快速开始或了解授权, 请参阅https://maica.monika.love/tos.

MAICA的后端仓库地址是https://github.com/Mon1-innovation/MAICA.

MAICA的后端compact分支地址是https://github.com/Mon1-innovation/MAICA_Server_Submod

MAICA的子模组前端仓库地址是https://github.com/Mon1-innovation/MAICA_ChatSubmod.

MAICA LIA分支的模型地址是https://huggingface.co/edgeinfinity/MAICAv0-LIA-72B.

MAICA LOA分支的模型地址是https://huggingface.co/edgeinfinity/MAICAv0-LOA-7B.

MAICA-MTTS的仓库地址是https://github.com/Mon1-innovation/MAICA_MTTS.

MAICA-MTTS模型地址是https://huggingface.co/edgeinfinity/MTTSv0-VoiceClone.

MAICA的基本数据集仓库位于https://huggingface.co/datasets/edgeinfinity/MAICA_ds_basis.

MAICA的相关文档存储于https://github.com/Mon1-innovation/MAICA/tree/main/document.

请理解由于人力有限, 我们不在此对项目作额外介绍. 如需了解MAICA, 请前往上述详细介绍页面.
stepup 3.2.2
StepUp Core provides the basic framework for the StepUp build tool
Requires Python: >=3.11

<!-- markdownlint-disable line-length -->

# StepUp Core

[![release](https://github.com/reproducible-reporting/stepup-core/actions/workflows/release.yaml/badge.svg)](https://github.com/reproducible-reporting/stepup-core/actions/workflows/release.yaml)
[![pytest](https://github.com/reproducible-reporting/stepup-core/actions/workflows/pytest.yaml/badge.svg)](https://github.com/reproducible-reporting/stepup-core/actions/workflows/pytest.yaml)
[![mkdocs](https://github.com/reproducible-reporting/stepup-core/actions/workflows/mkdocs.yaml/badge.svg)](https://github.com/reproducible-reporting/stepup-core/actions/workflows/mkdocs.yaml)
[![PyPI Version](https://img.shields.io/pypi/v/stepup)](https://pypi.org/project/stepup/)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/stepup)
![GPL-3 License](https://img.shields.io/github/license/reproducible-reporting/stepup-core)
[![CodeFactor](https://www.codefactor.io/repository/github/reproducible-reporting/stepup-core/badge)](https://www.codefactor.io/repository/github/reproducible-reporting/stepup-core)

StepUp is a simple, powerful and universal build tool.
StepUp Core provides the basic framework for StepUp, without any domain-specific features.

For more information, consult the
[documentation](http://reproducible-reporting.github.io/stepup-core).