semvec/pypi-packages huggingface dataset:
WebHarvester 0.1.1
A simple super fast asynchronous crawler framework
Requires Python: >=3.10

# WebHarvester

#### 介绍
一个简单的超快速异步爬虫框架

#### 软件架构
软件架构说明


#### 安装教程

1.  xxxx
2.  xxxx
3.  xxxx

#### 使用说明

1.  xxxx
2.  xxxx
3.  xxxx

#### 参与贡献

1.  Fork 本仓库
2.  新建 Feat_xxx 分支
3.  提交代码
4.  新建 Pull Request


#### 特技

1.  使用 Readme\_XXX.md 来支持不同的语言，例如 Readme\_en.md, Readme\_zh.md
2.  Gitee 官方博客 [blog.gitee.com](https://blog.gitee.com)
3.  你可以 [https://gitee.com/explore](https://gitee.com/explore) 这个地址来了解 Gitee 上的优秀开源项目
4.  [GVP](https://gitee.com/gvp) 全称是 Gitee 最有价值开源项目，是综合评定出的优秀开源项目
5.  Gitee 官方提供的使用手册 [https://gitee.com/help](https://gitee.com/help)
6.  Gitee 封面人物是一档用来展示 Gitee 会员风采的栏目 [https://gitee.com/gitee-stars/](https://gitee.com/gitee-stars/)
sota-asr 0.1.0
基于funasr的语音识别服务
Requires Python: <4.0,>=3.10

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# 🪐 项目: sota-asr

为主站电话录音提供SOTA级别的中文语音转文本服务

## 📋 project.yml

[`project.yml`](project.yml)定义了项目所有的命令以及由命令组成的流程. 

### ⏯ 命令

以下是项目中的命令. 它们都可以通过`project run [name]`来运行.

| 命令 | 描述 |
| --- | --- |
| `test` | 测试 |
| `prepare` | 下载所有需要的模型文件 |

### ⏭ 流程

以下是项目中的流程. 它们都可以通过 `project run [name]`来运行,并且会按照顺序依次运行命令.

| 流程 | 步骤 |
| --- | --- |
| `all` | `command1` &rarr; `command2` |

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moschitta-query 0.1.0
Fluent Query Builder Library
Requires Python: <4.0,>=3.11

# Moschitta Query Documentation

The `moschitta-query` package provides a Fluent Query Builder for the Moschitta Framework, enabling developers to generate SQL queries programmatically using a fluent interface.

## Installation

You can install `moschitta-query` via pip:

```bash
pip install moschitta-query
```

Or use it with Poetry:

```bash
poetry add moschitta-query
```

## Usage

### Basic Query Construction

To use `moschitta-query`, you need to initialize an instance of the `Query` class.

```python
from moschitta_query.query import Query

# Create a basic select query
query = Query().select('id', 'name').from_('users')
print(query.to_sql())
# Output: SELECT id, name FROM users
```

### Adding Conditions

You can add conditions to your query using the `where` method.

```python
# Add a where clause to the query
query = Query().select('*').from_('users').where('age > 21')
print(query.to_sql())
# Output: SELECT * FROM users WHERE age > 21
```

### Joining Tables

Perform joins using the `join` method.

```python
# Perform an inner join with another table
query = Query().select('users.id', 'users.name', 'orders.total').from_('users') \
               .join('orders', 'users.id = orders.user_id')
print(query.to_sql())
# Output: SELECT users.id, users.name, orders.total FROM users JOIN orders ON users.id = orders.user_id
```

### Ordering Results

Specify the order of the result set using the `order_by` method.

```python
# Order the result set by a column
query = Query().select('name').from_('users').order_by('name')
print(query.to_sql())
# Output: SELECT name FROM users ORDER BY name
```

## API Reference

### `moschitta_query.query.Query`

- `select(*columns: str) -> Query`: Specifies the columns to select in the query.
- `from_(table: str) -> Query`: Specifies the table to select data from.
- `where(*conditions: str) -> Query`: Adds conditions to filter the result set.
- `join(table: str, on_clause: str) -> Query`: Performs an inner join with another table.
- `left_join(table: str, on_clause: str) -> Query`: Performs a left outer join with another table.
- `right_join(table: str, on_clause: str) -> Query`: Performs a right outer join with another table.
- `order_by(*columns: str) -> Query`: Specifies the columns to order the result set by.
- `group_by(*columns: str) -> Query`: Groups the result set by the specified columns.
- `having(*conditions: str) -> Query`: Adds conditions to filter the grouped result set.
- `limit(count: int) -> Query`: Limits the number of rows returned by the query.
- `offset(start: int) -> Query`: Specifies the starting offset for the result set.
- `to_sql() -> str`: Returns the constructed SQL query as a string.

## Contributing

Contributions to `moschitta-query` are welcome! You can contribute by opening issues for bugs or feature requests, submitting pull requests, or helping improve the documentation.

## License

This project is licensed under the terms of the [MIT License](LICENSE).