semvec/pypi-packages huggingface dataset:
h-music 0.1.4
howard music
Keywords: music spider setuptools development

Howard-music
============

    only support python3

    Baidu.KuGou.KuWo.QQ.163.MiGu API

--------------

安装
--------------

.. code:: console

    $ pip install h-music

帮助
--------------

.. code:: console

    $ h-music -h


更多
--------------

https://github.com/tt20050510/howard-music
bbb-scrape 1.0.4
Scrape BBB meeting
Requires Python: >=3.5

# Scrape Big Blue Button (BBB) meeting

Scrape a BBB meeting. Currently only supports:

 - Extract slides and create video with proper timing
 - Download desk sharing and webcam videos if present
 - Render slide annotations and polls

Upcoming features:

 - Render new video with combined elements
 - Render chat

Installation:

```
pip install bbb-scrape
```

You also need inkscape (image conversion in the background) and ffmpeg (rendering) installed.

Use:

```
bbb-scrape <meeting URL>
```
edopkg 1.0.2
Easydo Package Syncer

========================
edopkg: 易度软件包同步
========================

用途
==========
``edopkg`` 是易度提供给开发者的一个命令行工具，
方便基于文件系统进行软件包开发。

这个工具，可以直接将易度软件包导入、导出到文件系统，进行代码同步。

安装
==========
使用python的pip命令进行安装::

    pip install edopkg

安装之后可以使用 ``edopkg`` 进行操作::

   # edopkg 
   使用edopkg，可以将文件系统中的软件包和易度系统中的软件包同步。
   服务器配置文件位于 ``~/.edopkgrc``

   可使用如下命令:

   edopkg server: 查看和设置服务器
   edopkg config: 设置服务器配置
   edopkg clone:  复制一个软件包
   edopkg pull:   下载一个软件包
   edopkg push:   上传一个软件包

使用方法
===========
需要配置服务器连接信息才能使用，详细见最后一节。
如果没有配置，会自动交互配置。

另外，必须拥有软件包的开发权限，才能进行软件包的同步操作。

clone: 复制一个软件包
-----------------------
从线上下载一个名为zopen.plans的软件包::

  edopkg clone zopen.plans

执行后将会在使用默认配置，在当前文件夹下创建zopen.plans文件夹，并下载软件包数据

或者通过‘-s 选项指定要使用的配置，其余同步命令均支持此用法::

  edopkg clone zopen.plans -s dev

pull: 下载
-------------------------------

更新整个软件包::

  edopkg pull zopen.plans

或者进入到软件包目录内::

  edopkg pull

执行后程序会自动识别出省略的软件包名，除clone外的同步命令均支持省略软件包名的用法

更新全部表单::

  edopkg pull zopen.plans/forms

仅仅更新一个表单定义::

  edopkg pull zopen.plans/forms/plans.yaml

注意：下载软件包的时候，会覆盖本地的修改。 

push: 上传
---------------------

提交整个软件包：:

  edopkg push zopen.plans

提交全部表单::

  edopkg push zopen.plans/forms

仅仅提交一个表单定义::

  edopkg push zopen.plans/forms/plans.yaml

注意：上次软件包的时候，服务器上的修改会被删除。

server 设置当前服务器
----------------------------
查看当前的设置::

  # edopkg server

  当前配置了如下服务器，星标的是当前的服务器，可在 ~/.edopkgrc 里面调整配置.

  * test:        https://oc-api.everydo.cn, 账号zopen, 站点default
    production:  https://oc-api.easydo.cn, 账号zopen, 站点default

把当前服务器设置为 ``production`` 配置::

  edopkg server production

config 配置服务器
----------------------------
运行 ``edopkg config`` 可以设置一个新的服务器:

会显示当前的服务器配置信息，用户输入一个配置，进行调整。

配置文件
===============

配置文件位于 ~/.edopkgrc. 
首次使用会自动进行配置

格式：
----------
配置文件的一个具体例子, 配置了测试服务器(test)和正式服务器(production)，当前使用test服务器::

    [edopkg]
    server=test

    [test]
    oc_api = https://oc-api.everydo.cn	
    account = zopen	
    instance = default	
    username = xxx	
    password = xxx	
    client_id = test	
    client_secret = 022127e182a934dea7d69s10697s8ac2	

    [production]
    oc_api = https://oc-api.easydo.cn	
    account = zopen	
    instance = default	
    username = xxx	
    password = xxx	
    client_id = test	
    client_secret = 022127e182a934dea7d69s10697s8ac2	

字段的含义：

- oc_api: oc服务地址
- account: 公司(子域名)名称
- instance: 站点实例名称，默认为'default'
- username: 用户名
- password: 密码
- client_id:应用的ID
- client_secret:应用的密钥

更多具体的信息，可参照：
https://zopen.everydo.cn/platform/docs/auth/开放API概览.rst/@zopen.cms:view
rechub-yusanshi 0.0.1
A package with implementations of some methods in recommendation
Requires Python: >=3.6

# RecHub [WIP]

Implementations of some methods in recommendation.

## Models

| Model        | Full name | Type                | Paper |
| ------------ | --------- | ------------------- | ----- |
| NCF          |           | Non-graph           |       |
| GCN          |           | Homogeneous graph   |       |
| LightGCN     |           | Homogeneous graph   |       |
| GAT          |           | Homogeneous graph   |       |
| NGCF         |           | Homogeneous graph   |       |
| HET-GCN      | /         | Heterogeneous graph | /     |
| HET-LightGCN | /         | Heterogeneous graph | /     |
| HET-GAT      | /         | Heterogeneous graph | /     |
| HET-NGCF     | /         | Heterogeneous graph | /     |
|              |           |                     |       |
|              |           |                     |       |

> Note: we define the heterogeneous graph as a graph *with different types of **edges*** instead of a graph *with different types of **edges or nodes***. Thus, for a common user-item bipartite graph, although more than one types of node exist, we still think it as a homogeneous graph.



**WIP**

- DeepFM
- DSSM
- LightGCN
- DiffNet
- DiffNet++
- DANSER
- GraphRec
-
-

## Requirements

- Linux-based OS
- Python 3.6+

## Get started

Install from <https://pypi.org/>:

```bash
pip install rechub
```

Or install manually:

```bash
git clone https://github.com/yusanshi/RecHub.git
cd RecHub
pip install .
```

Download the datasets.

```bash
# TODO
wget
unzip
```

Run.

```bash
# Train
python -m rechub.train \
    --dataset_path ./data/JD-small/ \
    --metadata_path ./metadata/jd.json \
    --model_name HET-GCN \
    --embedding_aggregator concat \
    --predictor mlp \
    --edge_choice 0 1 2 \
    --save_checkpoint True \
    --checkpoint_path ./checkpoint/

# Load latest checkpoint and evaluate on the test set
python -m rechub.test \
    --dataset_path ./data/JD-small/ \
    --metadata_path ./metadata/jd.json \
    --model_name HET-GCN \
    --embedding_aggregator concat \
    --predictor mlp \
    --edge_choice 0 1 2 \
    --checkpoint_path ./checkpoint/
```

You can visualize the metrics with TensorBoard.

```bash
tensorboard --logdir runs
```

> Tip: by adding `REMARK` environment variable, you can make the runs name in TensorBoard and log file name more meaningful. For example, `REMARK=lr-0.001_attention-head-10 python -m rechub.train ...`.

## Development

### Use your own dataset

TODO

### Test a model

TODO

### TODO

1. Support more models.
2. Support node attributes.
3. Support multiple tasks (e.g., `interaction-attribute-regression`).

### Tricks

- Use this to automatically select the GPU with most free memory.

  ```
  alias python='CUDA_VISIBLE_DEVICES=$(nvidia-smi --query-gpu=memory.free --format=csv,nounits,noheader | nl -v 0 | sort -nrk 2 | cut -f 1 | head -n 1 | xargs) python'
  ```
qqdm 0.0.7
A very lightweight progress bar.
Requires Python: >=3.6

# qqdm

A lightweight, fast and pretty progress bar for Python

## Demo
<img src="https://github.com/KimythAnly/qqdm/blob/main/demo.gif" width="768"/>

## Installation
```
pip install qqdm
```

## Usage
The following is a simple example.
```python
import time
import random
from qqdm import qqdm, format_str

tw = qqdm(range(10), desc=format_str('bold', 'Description'))

for i in tw:
  loss = random.random()
  acc = random.random()
  tw.set_infos({
    'loss': f'{loss:.4f}',
    'acc': f'{acc:.4f}',
  })
  time.sleep(0.5)
```

For the demo gif shown above, you may refer to `tests/test.py`.