semvec/pypi-packages huggingface dataset:
TrivialPy 0.0.8
Pequeño juego de preguntas de cultura general realizado en Python
Requires Python: >=3.10

# TrivialPy

![alt text](https://raw.githubusercontent.com/cvcvrril/trivialpy/refs/heads/main/trivialpy.png)

**TrivialPy** es un juego de preguntas y respuestas desarrollado en Python; vamos, un Trivial Pursuit de toda la vida pero hecho en Python.<br>
Versión: 0.0.8

## Índice
* [Reglas](#reglas)
* [Instalación](#instalación)
* [Funcionamiento](#funcionamiento)
* [Estructura](#estructura)

## Funcionamiento
Tres opciones en el menú principal:
1. Jugar
2. Reglas
3. Salir

### Jugar
Se inicia el juego de forma normal.
Se pregunta por el nombre del jugador y se inicia el juego.
```
Introduzca su nombre: Pepe
¡¡Disfruta del juego Pepe!!

¿Preparado?
¿Listo?
¡Ya!

El dado ha sacado un 3
-------------------------

* Categoría: Historia *
¿Qué muro cayó en 1989?
A. Muro de Berlín
B. Muro de China
C. Muro de Adriano
D. Muro de Jerusalén
> Introduzca la opción correcta (A, B, C, D):
```

### Reglas
Se muestran las reglas del juego.


### Salir
Se sale del juego.


## Reglas
Juego de **un solo jugador**. <br>
Para ganar la partida el jugador debe de acertar **6 preguntas**.<br>
Se emplea un dado virtual (del 1 al 6) para decidir la categoría de la pregunta. <br>
Se contará el tiempo en el que tarde el jugador en completar la partida (se mostrará en los detalles de la partida finalizada).<br>
El jugador debe de elegir de entre una de las cuatro opciones; A, B, C, D.

## Instalación

El proyecto se encuentra en la plataforma [PiPy](https://pypi.org/project/TrivialPy/). <br>
Escriba lo siguiente en su entorno Python:
```
pip install TrivialPy
```

## Estructura

```
trivialpython/
├─ trivialpython/
│  ├─ __init__.py
|  ├─ preguntas.py
│  └─ main.py
├─ README.md
├─ LICENSE
└─ pyproject.toml
```
gaql 1.15.0
A command line interface to the Google Ads Query Language (GAQL). Run with `gaql` or `gaql-tools`
Requires Python: <3.14,>=3.9
Keywords: gaql, google-ads, cli

# GAQL CLI

[![PyPI version](https://badge.fury.io/py/gaql.svg)](https://badge.fury.io/py/gaql)
![PyPI downloads](https://img.shields.io/pypi/dm/gaql)

A CLI for running [GoogleAds queries](https://developers.google.com/google-ads/api/docs/query/overview).

## Usage
### Installing

- `pip install gaql`
- `pipx install gaql` (recommended)

### Querying
The default mode. Runs either as a REPL, or as a one off command

```bash
- gaql [ACCOUNT_ID] - run in REPL mode
- gaql [ACCOUNT_ID] [WORDS*] - run a single query. Note depending on your shell you may need to quote some queries if you run like this.

flags:
--help show the help message; basically the below
-f|--format <csv|json|jsonl|proto> specify an output format
-o|--output <file> specify an output file. Based on the extension, format is inferred. Non REPL usage only
```

Examples, using 1-000-000-000 as our demo account id:
```bash
# opens a REPL with json lines as the output format
gaql -f jsonl 1-000-000-000

# runs the query against the given account, outputting to the terminal the results as json lines
gaql -f jsonl 1-000-000-000 'SELECT campaign.id FROM campaign'

# runs the query against the given account, outputting to 'campaigns.jsonl' the result as json lines
gaql -o campaigns.jsonl 1-000-000-000 'SELECT campaign.id FROM campaign'
```

**tip**: by default `LIMIT 100` will be added to your queries. To override this behavior, simply define your own `LIMIT X`.

**tip**: the autocomplete will return only valid fields for the selected entity if you fill out the `FROM <entity>` part
first.

### Other tools
Used for useful common queries. Currently only supports getting all accounts under an MCC, to help when managing multiple accounts. The MCC is taken from the `login_customer_id` field.
- `gaql-tools queries clients`

## Notes
- credentials come from the environment > the google .yaml file > a user provided credential file
- credentials, settings, and history are stored in `./config/gaql/*`. The credential file will only be present if you create it through a prompt (i.e you aren't using the ENV, or the YAML file Google specifies)

## Ideas / TODO
- tables as an output format
- autocomplete for account ids (with caching)

## Development
We're using [poetry](https://github.com/python-poetry/poetry) for local development, package management, and publishing. `pyenv` is
recommended for Python version management, and `pipx` for installation.

Build commands:

```
make develop - install a development version. run via `poetry run gaql <args>`
make publish - build and distribute to PyPi
make clean   - remove the existing build files
make format  - run black over the code
make lint    - lint and format the code
```

## Security
For sensitive security matters please contact security@getyourguide.com.

## Legal
gaql-cli is licensed under the Apache License, Version 2.0. See [LICENSE](LICENSE) for the full text.
bach-google-search74 1.0.0
RapidAPI: herosAPI/google-search74
Requires Python: >=3.10

# Google Search74 MCP Server

RapidAPI: herosAPI/google-search74

## 简介

这是一个使用 [FastMCP](https://fastmcp.wiki) 自动生成的 MCP 服务器，用于访问 Google Search74 API。

- **PyPI 包名**: `bach-google_search74`
- **版本**: 1.0.0
- **来源平台**: openapi
- **传输协议**: stdio


## 安装

### 从 PyPI 安装:

```bash
pip install bach-google_search74
```

### 从源码安装:

```bash
pip install -e .
```

## 运行

### 方式 1: 使用 uvx（推荐，无需安装）

```bash
# 运行（uvx 会自动安装并运行）
uvx --from bach-google_search74 bach_google_search74

# 或指定版本
uvx --from bach-google_search74@latest bach_google_search74
```

### 方式 2: 直接运行（开发模式）

```bash
python server.py
```

### 方式 3: 安装后作为命令运行

```bash
# 安装
pip install bach-google_search74

# 运行（命令名使用下划线）
bach_google_search74
```

## 配置


### API 认证

此 API 需要认证。请设置环境变量:

```bash
export API_KEY="your_api_key_here"
```


### 在 Claude Desktop 中使用

编辑 Claude Desktop 配置文件 `claude_desktop_config.json`:


```json
{
  "mcpServers": {
    "google_search74": {
      "command": "python",
      "args": ["E:\path\to\google_search74\server.py"],
      "env": {
        "API_KEY": "your_api_key_here"
      }
    }
  }
}
```

**注意**: 请将 `E:\path\to\google_search74\server.py` 替换为实际的服务器文件路径。


## 可用工具

此服务器提供以下工具:


### `search`

The Google Search74 API endpoint allows users to perform a Google search query and retrieve relevant results based on the provided input. This endpoint is ideal for applications that require automated search capabilities, such as content aggregation, market research, or keyword analysis. ### Key Features: 1. **Search Functionality**: Execute a search query on Google and retrieve results. 2. **Limit Results**: Specify the maximum number of results to be returned. 3. **Related Keywords**: Optionally include related keywords in the response for deeper insights. ### Parameters: - **query (string)**: The search term or keyword to query on Google. For example, "Nike". - **limit (integer)**: The maximum number of search results to return. For example, `10`. - **related_keywords (boolean)**: A flag to include related keywords in the response. Set to `true` to retrieve related keywords, or `false` to exclude them. ### Response: The endpoint returns a structured JSON object containing: - **Search Results**: A list of search results, including titles, URLs, and snippets. - **Related Keywords** (if enabled): A list of keywords related to the search query for further exploration. This endpoint is designed to streamline search operations and provide actionable insights for applications leveraging Google search data.

**端点**: `GET /`


**参数**:

- `query` (string): Example value: Nike

- `limit` (integer): Example value: 10

- `related_keywords` (boolean): Example value: true



---



## 技术栈

- **FastMCP**: 快速、Pythonic 的 MCP 服务器框架
- **传输协议**: stdio
- **HTTP 客户端**: httpx

## 开发

此服务器由 [API-to-MCP](https://github.com/yourusername/APItoMCP) 工具自动生成。

生成时间: 1.0.0