semvec/pypi-packages huggingface dataset:
checkify 0.6
Python package that utilizes the power of the GPT API to provide comprehensive code analysis and assistance. It helps you identify errors in code, explains the code logic, and offers valuable suggestions for improvement.
Requires Python: >=3.6

# Checkify

[![Downloads](https://pepy.tech/badge/checkify/month)](https://pepy.tech/project/checkify)

Checkify is a Python package that utilizes the power of the GPT API to provide comprehensive code analysis and assistance. It helps you identify errors in code, explains the code logic, and offers valuable suggestions for improvement.

## Installation

To get started with Checkify, make sure you have Python installed. Then, you can install Checkify using `pip`:

```shell
pip install checkify
```

## Usage

Before using Checkify, you need to obtain an API key from OpenAI. Follow the instructions on the OpenAI website to get your API key.

Once you have your API key, you can start using Checkify in your Python code. Import the `check_code` function from the `code_checker` module:

```python
from checkify.code_checker import check_code

# Prompt the user to enter their OpenAI API key
api_key = input("Please enter your OpenAI API key: ")

# Set the API key for Checkify
check_code.set_api_key(api_key)

# Write your code to be checked
code = """
def greet(name):
    print("Hello, " + name)

greet("John")
"""

# Call the check_code function to analyze and explain the code
explanation = check_code(code)
print(explanation)
```

Make sure to replace `YOUR_API_KEY` with your actual OpenAI API key.

By using Checkify, you can improve your code quality, catch potential errors, and gain a deeper understanding of your code logic.

---

Please note that Checkify is a powerful tool, and it relies on the OpenAI GPT API for code analysis. Ensure that you have an active OpenAI subscription and sufficient API credits to use Checkify effectively. For more details on OpenAI API pricing and usage, visit the OpenAI website.

We hope you find Checkify helpful in your coding journey! Happy coding and stay creative!
AnimeCrawler 0.2.1
一个可免费下载动漫的爬虫
Requires Python: >=3.8

# README.md
<p align="center">曾几何时，打算看会动漫</p>

<p align="center">兴致勃勃，发现需要会员</p>

<p align="center">不负众望，找到免费网站</p>

<p align="center">网络原因，把我拒之门外</p>

<p align="center">惆怅万分，决定用爬虫改变现状</p>

<p align="center">离线播放，享受流畅的观看体验</p>


这是一款在Windows平台下基于轻量级框架<code>[**Ruia**](https://github.com/howie6879/ruia)</code>、专门爬取免费动漫的爬虫，底层使用<code>aiohttp</code>库，使用异步模式，大幅增加爬取及下载速度。可**离线播放**各大动漫，支持**命令行输入**，立志成为最实用，最轻量的动漫管理及下载助手

## ❓如何使用
1. 首先来到[这里](https://www.python.org/downloads)下载Python解释器, 要求Python3.8及以上版本，安装即可
2. 然后，打开命令提示符，输入 <code>pip install AnimeCrawler</code>
3. 其次，输入 <code>AnimeCrawler search -t "动漫标题"</code>，来搜索动漫
4. 最后，复制输出的下载命令，粘贴回车就可以下载啦
    - 输入 <code>AnimeCrawler -h</code> 会有详细的说明
> 下载后的文件在您的视频文件夹里

如果您想体验最新的功能，请转到dev分支~

## 🚀我想帮忙
十分感谢您有这个想法。这个项目仍在青涩年华，总会有一些跌跌撞撞的时候，也许您的举手之劳，能造就更好的它

请使用Github Issue来提交bug或功能请求。这样有利于我了解您的需求，也更好的投入精力解决问题。力所能及的话，可以先提个Issue后拉个Pull Requests，那样再好不过了

> 有的时候在dev分支中，您的需求如一些bug（或feature）已解决（或已被实现），请确认后再提交Issue

## 📝TODO

- [x] 下载多集动漫
- [x] 支持命令行工具
- [ ] 支持检索动漫
- [ ] 可更换下载源
- [ ] 支持上传网盘
- [ ] <span style="text-decoration: line-through">甚至是GUI</span>

## 🧱从源码搭建
1. 点击[这里](https://github.com/Senvlin/AnimeCrawler/releases)找到最新版本，下载源码
2. 转到项目目录，使用 <code>pip install -r requirement.txt</code> 安装依赖库
3. 随后使用 <code>python -m AnimeCrawler download -t "动漫标题" -u "URL"</code> 运行即可

## ❗ 声明
此项目只因个人兴趣而开发，仅供学习交流使用，无任何商业用途

下载的资源均来自可搜索到的、各网站提供的公开引用资源，所有视频版权均归原作者及网站所有

您应该自行承担使用此项目有可能的风险，我不保证您下载的资源的安全性，合法性，公正性。网络信息良莠不齐，请自行甄别，谢谢
midoTrim 0.0.0.dev0
Python的mid对象处理

Mido - MIDI Objects for Python
==============================

.. image:: https://github.com/mido/mido/workflows/Test/badge.svg
   :target: https://github.com/mido/mido/actions

Mido is a library for working with MIDI messages and ports:

.. code-block:: python

   >>> import mido
   >>> msg = mido.Message('note_on', note=60)
   >>> msg.type
   'note_on'
   >>> msg.note
   60
   >>> msg.bytes()
   [144, 60, 64]
   >>> msg.copy(channel=2)
   Message('note_on', channel=2, note=60, velocity=64, time=0)

.. code-block:: python

   port = mido.open_output('Port Name')
   port.send(msg)

.. code-block:: python

    with mido.open_input() as inport:
        for msg in inport:
            print(msg)

.. code-block:: python

    mid = mido.MidiFile('song.mid')
    for msg in mid.play():
        port.send(msg)


Full documentation at https://mido.readthedocs.io/


Main Features
-------------

* works in Python 3.

* convenient message objects.

* supports RtMidi, PortMidi and Pygame. New backends are easy to
  write.

* full support for all 18 messages defined by the MIDI standard.

* standard port API allows all kinds of input and output ports to be
  used interchangeably. New port types can be written by subclassing
  and overriding a few methods.

* includes a reusable MIDI stream parser.

* full support for MIDI files (read, write, create and play) with
  complete access to every message in the file, including all common
  meta messages.

* can read and write SYX files (binary and plain text).

* implements (somewhat experimental) MIDI over TCP/IP with socket
  ports. This allows for example wireless MIDI between two
  computers.

* includes programs for playing MIDI files, listing ports and
  serving and forwarding ports over a network.


Status
------

1.2 is the third stable release.


Requirements
------------

Mido requires Python 3.7 or higher.


Installing
----------

::

    python3 -m pip install mido

If you want to use ports::

   python3 -m pip install python-rtmidi

See ``docs/backends/`` for other backends.



Source Code
-----------

https://github.com/mido/mido/


License
-------

Mido is released under the terms of the `MIT license
<http://en.wikipedia.org/wiki/MIT_License>`_.


Questions and suggestions
-------------------------

For questions and proposals which may not fit into issues or pull requests, we
recommend to ask and discuss on `Discussions
<https://github.com/mido/mido/discussions>`_.
dailypics 1.0.0
A python library to obtain daily images from Unplash


# DailyPic

DailyPic is a powerful Python library that can easily be installed with pip to provide you with a fresh and unique image every day from Unsplash. This library does not require any user interface or special configuration, making it easy to integrate into any Python project.

Using DailyPic is incredibly straightforward. Simply import the library into your Python code and call the relevant functions and there's your daily image.
dailypic 0.1.0
A python library to obtain daily images from Unplash


# DailyPic

DailyPic is a powerful Python library that can easily be installed with pip to provide you with a fresh and unique image every day from Unsplash. This library does not require any user interface or special configuration, making it easy to integrate into any Python project.

Using DailyPic is incredibly straightforward. Simply import the library into your Python code and call the relevant functions and there's your daily image.