semvec/pypi-packages huggingface dataset:
flask-dependant 1.0.1
Flask Dependant is a Dependency Injection Helper Which Same With FastApi Dependencies, Pydantic and Python 3.6+ type hints.
License: MIT
Requires Python: >=3.6

flask_dependant
=====

flask_dependant是拷贝和参照了`fastapi`中[dependencis](https://fastapi.tiangolo.com/tutorial/dependencies/)中实现和思想,并迁到了flask中。

Installing
----------
`pip3 install -e git+https://github.com/guwenjiang85/flask-dependant.git#egg=flask_dependant`


Requires
---------
```
python>=3.6
flask>=2.0 
pydantic>=1.8,<2.0.0
```

Examples
---------
discord-app 0.0.1a1
Discord Interaction Application framework for Python
License: MIT
Requires Python: >=3.9,<4

# Discord Interaction Application framework for Python

![Tests](https://github.com/jacky9813/discord_app/actions/workflows/tests.yaml/badge.svg) [![Pypi](https://badge.fury.io/py/discord-app.svg)](https://pypi.org/project/discord-app/)

> In early development.
> 
> The specification and documentation may change without notification.
> 
> Any new ideas are welcomed.

A [Flask](https://flask.palletsprojects.com/) based Discord Application framework.

## System Requirements

* Python 3.9+
* (Recommended) [virtualenv](https://virtualenv.pypa.io/en/latest/)

## Install from PyPI

Install and update using [pip](https://pip.pypa.io/en/stable/getting-started/):

```bash
 $ pip install discord-app
```

## Known Limitation

* After command specification updated (including new command), Discord clients may require up to an hour to update its command list.

## Sample Server Application
```python
#!/usr/bin/env python3
# app.py
import discord_app

from . import app_config

PORT = "8080"

app = discord_app.Application.from_basic_data(
    id=app_config.APPLICATION_ID,
    public_key=app_config.PUBLIC_KEY,
    bot_token=app_config.BOT_TOKEN,
    # Set Discord interaction endpoint URL to http(s)://<YOUR-ADDRESS>:<PORT>/<ENDPOINT>
    endpoint="/api/discord/command"
)

app._flask.testing = True
app._logger.setLevel(logging.DEBUG)


@app.application_command(
    options=discord_app.ApplicationCommand(
        name="version",
        name_localizations={
            "zh-TW": "顯示程式版本"
        },
        type=discord_app.ApplicationCommandType.CHAT_INPUT,
        description="Show application version",
        description_localizations={
            "zh-TW": "顯示程式版本"
        }
    ),
    register_on_change=True  # Register command on specification change or is new command.
)
def show_version(_: discord_app.InteractionRequest) -> discord_app.InteractionResponse:
    return discord_app.InteractionResponse(
        type=discord_app.InteractionResponseType.CHANNEL_MESSAGE_WITH_SOURCE,
        data=discord_app.InteractionResponseMessage(
            content="test application/0.0.1"
        )
    )

app.run(
    host="0.0.0.0",
    port=PORT
)
```

```bash
 $ python3 app.py
```

## Links
* [Official API Documentation](https://discord.com/developers/docs/)
leetcron 0.1.0
Sets up cron job that pushes Leetcode submissions to a Github repository
License: MIT
Requires Python: >=3.5

# leetcron

A CLI tool for setting up a cron job that pushes recent leetcode submissions to a specified Github repo.

### 0.1.0 Updates
* Added support for the latest languages on Leetcode
* Added handling to prevent cron job failing from unrecognized language

## Installation
```
pip install leetcron
```

## Setup
```
leetcron setup
```
#### Options
`-g` Github setup
`-c` Leetcode cookie setup
`-j` Cronjob setup

#### Notes
* Obtain a Github Access Token through the steps [here](https://help.github.com/en/github/authenticating-to-github/creating-a-personal-access-token-for-the-command-line)
* Make sure you are logged into Leetcode on Chrome or Firefox before running the setup.
* Try running `leetcron setup -c` to grab the newest Leetcode cookie if task fails.

## Push recent submissions to repo manually
```
leetcron run
```
kit-vision 0.0.6
Vision kit - Usefull tools for your computer vision project with TensorFlow
License: MIT
Requires Python: >=3.5

<p align="center">
  <img  width="400" height="89" src="https://github.com/mehrdad-dev/vision-kit/blob/main/assets/vision-kit.png" alt="vision kit, mehrdad mohammadian,vkit" />
</p>

<h3 align="center" dir=rtl>
Useful tools for your computer vision project with TensorFlow
</h3>
 

---

🚧 **Under Construction** 🚧

## What is the Vision Kit (vkit)?
A set of tools (like callbacks, metrics, models and etc) for use in your computer vision projects specifically created by the TensorFlow library.

## 📥 How to install

**Using pypi:**

`pip install -U kit-vision`

## 🔄 How to update
Follow these steps:

1. `pip uninstall kit-vision`

2. `pip install -U kit-vision`

## 📒 Documentation
comming soon ...


## 🤝 Contribution 
Please create a new isssue in github about your contribution.

## ⚠️ Licence
[See here.](https://github.com/mehrdad-dev/vision-kit/blob/main/LICENSE)