semvec/pypi-packages huggingface dataset:
fookebox 1.0.1
A jukebox-style web-frontend to mpd
Requires Python: >=3.9

fookebox is a jukebox-style web-frontend to MPD.

It can be used as a keyboard-less jukebox, as a powerful MPD control frontend
or as anything in between.

![Screenshot](https://code.ott.net/fookebox/screenshot.png)

With fookebox you can

 * Browse your music library by artist or genre
 * Add songs to the queue (obviously)
 * Automatically play random music from your collection
 * Limit the queue size
 * Add whole albums to the queue
 * Remove songs from the queue
 * Search for artists or genres
 * Control MPD

## Getting started

```
$ pip install fookefox
$ fookebox
```

Your jukebox should now be ready on [http://localhost:8888/](http://localhost:8888/)

## Configuration

You can run fookebox with a custom configuration:

```
$ fookebox --config my-config.ini
```

The sample config file in `examples/fookebox.ini` explains all available options
and their default values.
mlflow-oidc-client-plugin 0.1.3
MLflow plugin adding OIDC/OAuth 2.1 client authorization
Requires Python: >=3.10,<4.0
Keywords: mlflow,plugin,mlops,oidc,oauth,oauth2

MLflow Client OIDC/OAuth 2.1 Plugin
===================================

MLflow plugin adding OIDC/OAuth 2.1 authorization support to the client, allowing the use of a tracking server secured behind a compatible proxy.

The plugin is built with [OIDC Client](https://gitlab.com/lzinsou/oidc-client) and supports the same OIDC/OAuth 2.1 authorization flows:
- the **authorization code** flow, for interactive user login;
- the **client credentials** flow, for confidential machine-to-machine communication.

This plugin supports reading authorization settings from `pyproject.toml`.


Requirements
------------

Python 3.10+
MLflow or MLflow Skinny 2+



Installation
------------

```console
pip install mlflow-oidc-client-plugin
```


Getting Started
---------------

First, add the following to the project's `pyproject.toml` configuration file:
```toml
[[tool.mlflow-oidc-client-plugin.tracking-servers]]
uri = "http://mlflow.example.com/"            # URI of your MLflow Tracking Server
issuer = "https://auth.example.com/"          # URI of your OIDC provider
client-id = "<application ID>"                # Client ID of your project
```

You can now run MLflow client commands without any change. The plugin will match the `MLFLOW_TRACKING_URI` environment variable to the appropriate server configuration found in `pyproject.toml`.
```console
# To list logged experiments:
MLFLOW_TRACKING_URI=http://mlflow.example.com/ mlflow experiments search
```


Configuration
-------------

Options may be set with environment variables or in the `pyproject.toml` configuration file, with environment variables taking precedence.

Each tracking server has its own `[[tool.mlflow-oidc-client-plugin.tracking-servers]]` block, which can be given multiple times in the same `pyproject.toml`.

|Environment Variable|Config File|Default Value|Description|
|-|-|-|-|
|MLFLOW_TRACKING_URI|N/A|N/A|MLflow Tracking Server URI|
|MLFLOW_TRACKING_OIDC_ISSUER|issuer|`None` (required)|OIDC authorization issuer URI|
|MLFLOW_TRACKING_OIDC_CLIENT_ID|client-id|`None` (required)|OIDC client ID|
|MLFLOW_TRACKING_OIDC_CLIENT_SECRET|client-secret|`None`|OIDC client secret|
|MLFLOW_TRACKING_OIDC_REDIRECT_URI|redirect-uri|`"http://127.0.0.1:39303/oauth2/callback"`|OIDC redirect URI|
|MLFLOW_TRACKING_OIDC_SCOPE|scope|`"openid profile email"`|OIDC token scope|
|MLFLOW_TRACKING_OIDC_AUDIENCE|scope|Same as the client ID|OIDC token audience|
|MLFLOW_TRACKING_OIDC_INTERACTIVE|interactive|Interactive by default if the application is public (no client secret)|Require a user login in a browser|
|MLFLOW_TRACKING_OIDC_USE_ID_TOKEN|use-id-token|Use the ID token by default if the application is public (no client secret)|Use the ID token instead of the access token as `Bearer` token in the `Authorization` HTTP header|


License
-------

This project is licensed under the terms of the MIT license.


A [yzr](https://www.yzr.ai/) Free and Open Source project.
bitget-python-connector 0.0.7
A tool to easily connect to bitget api.
Requires Python: >=3.7

# bitget-python-connector

[![License](https://img.shields.io/badge/license-MIT-green)](https://github.com/parker178912/bitget-python-connector/blob/main/LICENSE)
[![bitget-python-connector Version](https://img.shields.io/pypi/v/bitget-python-connector?logo=pypi)](https://pypi.org/project/bitget-python-connector/)
[![bitget-python-connector Python Versions](https://img.shields.io/pypi/pyversions/bitget-python-connector?logo=pypi)](https://pypi.org/project/bitget-python-connector/)
[![Downloads](https://static.pepy.tech/badge/bitget-python-connector)](https://pypi.org/project/bitget-python-connector/)

This is a python package for [Bitget](https://partner.bitget.com/bg/GBMPCQ) API, it including all the API on Bitget official documents, both for the REST and the websocket API.

**If you face some problems with the tool or you want some additional function , please open an [Issue](https://github.com/parker178912/bitget-python-connector/issues)**.

---
這是一個用於 Bitget API 的 Python 套件，其中包含了 Bitget 官方文件中的所有 API，包括 REST API 和 WebSocket API。

**如果您在使用這個工具時遇到問題，或者想要新增某些功能，請開啟一個[問題](https://github.com/parker178912/bitget-python-connector/issues)。**

# Get Started and Documentation 使用及說明
If you haven't regist a Bitget account, use this link to save 10% on all of your trade fees, and can get rewards up to $5,005.
* [Register an account with Bitget.](https://partner.bitget.com/bg/GBMPCQ)
> I am in no way affiliated with Bitget, please use it at your own risk.
---
如果您還沒有在 Bitget 註冊帳戶，可以使用以下連結，以享有所有交易費用 10% 的折扣，並有機會獲得高達 $5,005 的獎勵。
* [請註冊一個 Bitget 帳戶。](https://partner.bitget.com/bg/GBMPCQ)
> 本人與 Bitget 無任何關聯，請自行承擔使用風險。


# Install 安裝
    pip install bitget-python-connector

# Usage 使用
1. [Create your API KEY, your SECRET KEY and your PASSPHRASE.](https://www.bitget.com/en/support/articles/360038968251-API%20Creation%20Guide)
2. Check out the examples folder and put your info in it.  
---
1. [請創建您的 API KEY、SECRET KEY 和 PASSPHRASE。](https://www.bitget.com/en/support/articles/360038968251-API%20Creation%20Guide)
2. 並將上述信息填入example資料夾中，您想使用的檔案相對應的變數內。

## Donation
Waited

## Release Notes
Waited

## Resources
* [Bitget API docs](https://bitgetlimited.github.io/apidoc/en/mix/#welcome)
  * [Example Bitget rest API](https://github.com/parker178912/bitget-python-connector/tree/main/examples)
  * [Example Bitget websocket API](https://github.com/parker178912/bitget-python-connector/tree/main/examples)

## Contribution 
* Fork [this repository](https://github.com/parker178912/bitget-python-connector).
* Make pull requests with proper commit message.