semvec/pypi-packages huggingface dataset:
pespace 0.0.0
A tool for parameter estimation with space-borne gravitational-wave detectors.
Requires Python: >=3.10
Keywords: gravitational-wave, taichi-lang, parameter estimation

# `pespace`: A tool of response generation and likelihood evaluation for space-borne gravitational wave detectors

![last commit](https://img.shields.io/github/last-commit/nnrui/pespace)
[![code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

> [!Warning]
> This is an experimental project under active development. The design and APIs are not stable and may change frequently.

This package can be used to generate detector responses and evaluate the likelihood function under the stationary Gaussian noise assumption for space-borne detectors, with a focus on
parameter estimation of massive black hole binaries.
Core computations are implemented with `taichi-lang`, enabling automatic differentiation and hardware acceleration across multiple architectures. 
More details can be found in the [paper]() or the [document](). 

## Installation
Install from PyPI:
```bash
pip install pespace
```
Install the latest or specific commit version:
```bash
# install the latest development version
pip install git+https://github.com/nnrui/pespace
# install a specific commit
pip install git+https://github.com/nnrui/pespace@<commit-hash>
```

## Usage
The basic functionality of generating detector responses is domanstrated in the [tutorial](). Example scripts of the full Bayesian parameter estimation for a massive black hole binary merger signal can be found [here]() for a single LISA-like detector, and [here]() for the LISA-Taiji-Tianqin network.

## Similar packages
If `pespace` cannot meet your needs, you may find other packages for similar functionality (welcome to open issues or pull requests if you have more):
- [LISA-Black-Hole](https://github.com/eXtremeGravityInstitute/LISA-Black-Hole)
- [lisabeta](https://gitlab.in2p3.fr/marsat/lisabeta)
- [bbhx](https://github.com/mikekatz04/BBHx)

## Contact
The author strive to make this project easy-to-use and maintainable. But the author's experience and knowledge in software engineering is limited. Any feedback, comments, and suggestions are greatly appreciated. Feel free to open issues or contact.

## Citation
If you think this package is useful, please consider cite [arxiv: 2601.xxxx]().

The development of this package depends on many previous works including:
- The frequency domain response model: [Sylvain Marsat, John G. Baker, arxiv: 1806.10734](https://arxiv.org/abs/1806.10734);

Please cite the original works for the corresponding modules you have used.
gonzo-card-games 0.0.2
Virtualization of card games with a standard deck
Requires Python: >=3.10
Keywords: Gonzo, card, card deck, cards, egyption rat screw, egyption wrath, rat screw

# Gonzo Card Games

Library to create virtualizations of card games with a standard deck 52 card deck(s).

## Background

The creation of this library was done as a learning exercise and as such is in an alpha state. The modules currently avaiable are intended to
be the core modules needed to expand this library to include many different card games. The CardDeck module has all functionality required to
manipulate/create individual playing cards and full card decks. The RatScrew module is an example of what virtualization of a card game can look like.
Lastly, the Templates module was added to give a starting a point of adding new modules for other card games, where each card game module would have the
same API calls for getting a games rules, controls, and for initiating play.

## Installation

python -m pip install gonzo-card-games

## Documentation

Documentation on how to use Gonzo Card Games library is available at [https://gonz1247.github.io/gonzo_card_games/](https://gonz1247.github.io/gonzo_card_games/)

## Running locally with Docker

This project can be ran locally using Docker if just interested in playing the currently available built-in card games and not creating new ones. To run locally with Docker you must have [Docker Desktop](https://www.docker.com/products/docker-desktop/) installed.

1. Launch Docker Desktop on your machine
2. Build the Docker image for gonzo_card_games: `docker build -t gonzo_card_games .`
3. Launch the Docker container to play card games: `docker run --rm -it gonzo_card_games`
types-jmespath 1.1.0.20260124
Typing stubs for jmespath
Requires Python: >=3.9

## Typing stubs for jmespath

This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html)
for the [`jmespath`](https://github.com/jmespath/jmespath.py) package. It can be used by type checkers
to check code that uses `jmespath`. This version of
`types-jmespath` aims to provide accurate annotations for
`jmespath==1.1.*`.

This package is part of the [typeshed project](https://github.com/python/typeshed).
All fixes for types and metadata should be contributed there.
See [the README](https://github.com/python/typeshed/blob/main/README.md)
for more details. The source for this package can be found in the
[`stubs/jmespath`](https://github.com/python/typeshed/tree/main/stubs/jmespath)
directory.

This package was tested with the following type checkers:
* [mypy](https://github.com/python/mypy/) 1.19.1
* [pyright](https://github.com/microsoft/pyright) 1.1.408

It was generated from typeshed commit
[`507b51f833850c4cac9e618c968f6b6ff56c26d2`](https://github.com/python/typeshed/commit/507b51f833850c4cac9e618c968f6b6ff56c26d2).
types-python-dateutil 2.9.0.20260124
Typing stubs for python-dateutil
Requires Python: >=3.9

## Typing stubs for python-dateutil

This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html)
for the [`python-dateutil`](https://github.com/dateutil/dateutil) package. It can be used by type checkers
to check code that uses `python-dateutil`. This version of
`types-python-dateutil` aims to provide accurate annotations for
`python-dateutil==2.9.*`.

This package is part of the [typeshed project](https://github.com/python/typeshed).
All fixes for types and metadata should be contributed there.
See [the README](https://github.com/python/typeshed/blob/main/README.md)
for more details. The source for this package can be found in the
[`stubs/python-dateutil`](https://github.com/python/typeshed/tree/main/stubs/python-dateutil)
directory.

This package was tested with the following type checkers:
* [mypy](https://github.com/python/mypy/) 1.19.1
* [pyright](https://github.com/microsoft/pyright) 1.1.408

It was generated from typeshed commit
[`507b51f833850c4cac9e618c968f6b6ff56c26d2`](https://github.com/python/typeshed/commit/507b51f833850c4cac9e618c968f6b6ff56c26d2).
devhand 0.4.13
CLI tool to improve devX for webapps
Requires Python: >=3.11

# DevHand CLI

[![PyPI](https://img.shields.io/pypi/v/devhand)](https://pypi.org/project/devhand/)
[![Python](https://img.shields.io/badge/python-3.11+-blue.svg)](https://www.python.org/downloads/)
[![Coverage](https://img.shields.io/badge/coverage-69%25-brightgreen)](htmlcov/index.html)
[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)

Context-aware CLI tool to improve developer experience for full-stack webapps.

## Installation

Install devhand globally using uv:

```bash
# From your workspace root
cd devhand
uv pip install -e .
```

Or install as a uv tool:

```bash
uv tool install /path/to/devhand
```

## Quick Start

From your workspace root (parent directory of frontend/backend projects):

1. **Setup your environment:**
   ```bash
   dh setup
   ```

2. **Validate environment:**
   ```bash
   dh validate
   ```

3. **Start development server:**
   ```bash
   cd hello-world-fe  # or hello-world-be
   dh dev
   ```

## Available Commands

- `dh setup` - Interactive environment setup
- `dh validate` - Check environment health
- `dh validate --deploy` - Check for deployment completion
- `dh dev` - Start dev server (context-aware)
- `dh build` - Build for production
- `dh build --docker` - Build Docker image
- `dh db migrate` - Run migrations
- `dh db sync-users` - Sync allowed users
- `dh clean` - Remove artifacts

See full documentation in the repository.
zzupy 6.0.2
豫见郑大的 Python API 封装 / An API wrapper for Zhengzhou University Mobile Campus written in Python.
Requires Python: >=3.11

# ZZU.Py

豫见郑大的 Python API 封装

## 概述

ZZU.Py 是一个为郑州大学各个线上系统和相关服务提供 Python API 封装的库。它提供了简洁易用的接口来访问校园各类服务，包括移动应用 API、校园网络认证、一卡通服务等。

> [!WARNING]  
> 研究生教务系统暂未适配

## 特性

- **统一认证系统 (CAS)** - 支持账密登录和 Token 认证
- **智慧教务系统** - 获取课表、查询空教室
- **校园网络服务** - Portal 认证、设备管理、流量查询
- **校园卡服务** - 余额查询、电费充值
- **类型安全** - 基于 Pydantic 的数据模型验证
- **异步支持** - 基于 httpx 的高性能网络请求

## 快速开始

### 安装

```bash
pip install zzupy --upgrade
```

### 基础使用

```python
from zzupy.app import CASClient, SupwisdomClient

# CAS 认证
cas = CASClient("Your account", "Your password")
cas.login()

with SupwisdomClient(cas) as client:
    # 获取本周课表
    week_courses = client.get_week_courses()
    print(week_courses)
```

### 核心模块

#### `app` - 移动应用 API 抽象层

提供基于移动端逆向的 API 封装：

- **auth**: CAS 统一认证系统客户端
- **supwisdom**: 智慧教务系统，支持课表查询、空教室查询
- **ecard**: 校园卡服务，支持余额查询、电费充值
- **interfaces**: 定义统一的客户端接口规范

#### `web` - Web API 客户端模块

提供基于 Web 端逆向的 API 封装：

- **network**: 校园网络服务，包含 Portal 认证和设备管理

#### `aio` - 各模块的异步实现

提供以上模块的异步实现


## 开发指南

### 环境要求

- Python >= 3.13
- 依赖管理：使用 uv

### 贡献代码

欢迎提交 Issue 和 Pull Request。在贡献代码前，请确保：

1. 代码符合项目风格规范
2. 添加必要的类型注解
3. 编写相应的文档字符串
4. 测试通过

## 许可证

本项目使用 MIT 许可证。详见 [LICENSE](https://github.com/Illustar0/ZZU.Py/blob/main/LICENSE) 文件。

## 相关链接

- [GitHub 仓库](https://github.com/Illustar0/ZZU.Py)
- [API 参考文档](https://illustar0.github.io/ZZU.Py)
- [问题反馈](https://github.com/Illustar0/ZZU.Py/issues)