semvec/pypi-packages huggingface dataset:
QUARK-plugin-tsp 2.4.1
Quark plugin providing problem generation and mapping modules for the tsp problem
Requires Python: >=3.12

# QUARK-plugin-tsp


### Provided Modules:

| Module               | Upstream Interface                | Downstream Interface        |
| -------------------- |-----------------------------------| --------------------------- |
| tsp_graph_provider   | None                              | quark.interface_types.graph |
| tsp_qubo_mapping     | quark.interface_types.other(list) | quark.interface_types.qubo  |
| classical_tsp_solver | quark.interface_types.graph       | None                        |
prx_pyaec 2.0.6
PRX Acoustic echo cancellation with reset
Requires Python: >=3.11

# prx_pyaec

PRX Acoustic echo cancellation

Python bindings to https://github.com/wnm3/prx_aec  
(forked from https://github.com/thewh1teagle/aec)  

## Initial project setup ##
After cloning this repository, run the following command:  
git submodule init && git submodule update
yyp 0.2.2
多分支 worktree 管理工具
Requires Python: >=3.8
Keywords: git, worktree, krepo-ng, cli

# yyp

多分支 worktree 管理工具（支持 `krepo-ng` 与 `git`）。

## 安装

```bash
pip install yyp
```

## 使用

- 创建 worktree：

```bash
yyp add <path> <branch>
```

这会在 `~/<path>/wpsmain` 和 `~/<path>/wpsweb` 下分别创建或切换到 `<branch>`。

- 列出 worktree：

```bash
yyp list
```

- 移除 worktree：

```bash
yyp remove <path>
```

这会移除 `~/<path>/wpsmain` 和 `~/<path>/wpsweb` 的 worktree，并删除整个 `<path>` 目录。

- 配置管理：

```bash
yyp set work_dir=~/workspace  # 设置工作目录
yyp config                    # 显示当前配置
```

- 修改配置和生成构建脚本（仅限 Linux）：

```bash
yyp modify                    # 修改 wpsweb/server/Makefile 和生成 build_server.sh
yyp modify --force            # 强制在非 Linux 系统上运行（不推荐）
```

这会自动查找 wpsweb 目录，并执行以下操作：
1. **修改 `server/Makefile`**：
   - 去掉 `-Wl,-s` 参数
   - 将 `-O2` 修改为 `-g`
2. **生成 `build_server.sh`**：
   - 清空文件内容并写入构建脚本
   - 动态替换路径变量（基于当前执行路径）
   - 自动设置执行权限

> **注意**: `modify` 命令仅在 Linux 系统上支持，因为它需要修改 Makefile 和生成 shell 脚本。

- 自动编译 wpsmain：

```bash
yyp build                     # 自动编译 wpsmain
```

这会自动查找 wpsmain 目录，并在 Docker 中执行以下操作：
1. **配置 weboffice**：执行 `krepo-ng config --new -x weboffice`
2. **检查目录**：验证 `debug_weboffice` 目录是否创建成功
3. **编译项目**：在 `debug_weboffice` 目录中执行 `krepo-ng build`
4. **执行构建脚本**：查找并执行 `wpsweb/build_server.sh` 脚本

> **注意**: `build` 命令需要在 Docker 环境中执行，使用 `kdocker -r qt5` 命令。

## 依赖

- 需要本机已安装并在 PATH 中可用：`krepo-ng`、`git`。
- 配置文件位置：`~/.yyp.json`

## 许可

MIT
mlpro-int-sb3 1.0.7
MLPro: Integration StableBaselines3
Requires Python: >=3.11

[![CI](https://github.com/fhswf/MLPro-Int-SB3/actions/workflows/ci.yml/badge.svg)](https://github.com/fhswf/MLPro-Int-SB3/actions/workflows/ci.yml)
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[![PyPI version](https://badge.fury.io/py/mlpro-int-sb3.svg)](https://badge.fury.io/py/mlpro-int-sb3)
<!---
[![Anaconda-Version Badge](https://anaconda.org/mlpro-int-sb3/mlpro-int-sb3/badges/version.svg)](https://anaconda.org/mlpro-int-sb3/mlpro)
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--->
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<img src="https://github.com/fhswf/MLPro-Int-SB3/blob/main/doc/logo/original/logo.png?raw=True" align="right" width="40%"/>

# MLPro-Int-SB3 - Integration of Stable-Baselines3 into MLPro 
Welcome to MLPro-Int-SB3, an extension to MLPro to integrate the Stable-Baselines3 package. MLPro is a middleware framework for standardized machine learning in Python. It is  developed by the South Westphalia University of Applied Sciences, Germany, and provides  standards, templates, and processes for hybrid machine learning applications. Stable-Baselines3, in turn, provides a diverse suite of reliable implementations of reinforcement learning algorithms in PyTorch.

MLPro-Int-SB3 offers wrapper classes that allow the reuse of environments from Stable-Baselines3 in MLPro, or the other way around.

### Learn more
[MLPro - The integrative middleware framework for standardized machine learning in Python](https://mlpro.readthedocs.io)   
[MLPro-Int-SB3 - Integration of Stable-Baselines3 into MLPro](https://mlpro-int-sb3.readthedocs.io)   
[Stable-Baselines3 - Reliable Reinforcement Learning Implementations](https://stable-baselines3.readthedocs.io/en/master/)