semvec/pypi-packages huggingface dataset:
pingpongw 0.1.0
PingPongBuilder Custom Api Module
License: MIT
Requires Python: >=3.8.0
Keywords: pingpong,ping,pong,api

# PingPongW

파이썬으로 제작된 핑퐁 빌더 Custom Api를 좀 더 쉽고 간편하게 사용할 수 있게 해주는 모듈입니다.
</br>
`별도의 출처를 밝힐필요 없습니다.`

</br>

# Quick Example

### 독자적 사용 예시

```python
import PingPong # 메인 모듈
import asyncio # 비동기 실행을 위한 모듈

url = "커스텀 API 링크"  # 핑퐁빌더 Custom API URL
pingpong_token = "인증 토큰"  # 핑퐁빌더 Custom API Token

Ping = PingPong(url, pingpong_token)  # 핑퐁 모듈 클래스 선언

async def Example(): # 비동기식 함수
    str_text = input("나: ")  # 대화할 말 입력받기
    return_data = await Ping.Pong(session_id ="Example", text = str_text, topic = True, image = True, dialog = True) # 핑퐁빌더 API에 Post 요청

    print(return_data) # {"text": "안녕안녕입니다", "topic": None, "Image": None}

asyncio.run(Example())  # 비동기로 함수 실행
```

# Discord Example

### 디스코드에서 사용예시

```python
import discord
import PingPong

from discord.ext import commands

bot = commands.Bot(command_prefix='>')

url = "커스텀 API 링크"  # 핑퐁빌더 Custom API URL
pingpong_token = "인증 토큰"  # 핑퐁빌더 Custom API Token

Ping = PingPong(url, pingpong_token)  # 핑퐁 모듈 클래스 선언

@bot.event()
async def on_message(message):

    if message.author == bot.user:
            return

     if message.content.startswith("봇"):
        str_text = (message.content.split(" "))[1]
        return_data = await Ping.Pong(session_id ="Example", text = str_text, topic = True, image = True, dialog = True) # 핑퐁빌더 API에 Post 요청
        await message.channel.send(f"{message.author.mention}, {return_data["text"]}")

bot.run("token")
```

# Links

-   `Team. Warin Discord:` https://discord.gg/cGM4PcHvQq
PingPongW 0.0.1
PingPongBuilder Custom Api Module
License: MIT
Requires Python: >=3.8.0
Keywords: pingpong,ping,pong,api

# PingPongW

파이썬으로 제작된 핑퐁 빌더 Custom Api를 좀 더 쉽고 간편하게 사용할 수 있게 해주는 모듈입니다.
</br>
`별도의 출처를 밝힐필요 없습니다.`

</br>

# Quick Example

### 독자적 사용 예시

```python
import PingPong # 메인 모듈
import asyncio # 비동기 실행을 위한 모듈

url = "커스텀 API 링크"  # 핑퐁빌더 Custom API URL
pingpong_token = "인증 토큰"  # 핑퐁빌더 Custom API Token

Ping = PingPong(url, pingpong_token)  # 핑퐁 모듈 클래스 선언

async def Example(): # 비동기식 함수
    str_text = input("나: ")  # 대화할 말 입력받기
    return_data = await Ping.Pong(session_id ="Example", text = str_text, topic = True, image = True, dialog = True) # 핑퐁빌더 API에 Post 요청

    print(return_data) # {"text": "안녕안녕입니다", "topic": None, "Image": None}

asyncio.run(Example())  # 비동기로 함수 실행
```

# Discord Example

### 디스코드에서 사용예시

```python
import discord
import PingPong

from discord.ext import commands

bot = commands.Bot(command_prefix='>')

url = "커스텀 API 링크"  # 핑퐁빌더 Custom API URL
pingpong_token = "인증 토큰"  # 핑퐁빌더 Custom API Token

Ping = PingPong(url, pingpong_token)  # 핑퐁 모듈 클래스 선언

@bot.event()
async def on_message(message):

    if message.author == bot.user:
            return

     if message.content.startswith("봇"):
        str_text = (message.content.split(" "))[1]
        return_data = await Ping.Pong(session_id ="Example", text = str_text, topic = True, image = True, dialog = True) # 핑퐁빌더 API에 Post 요청
        await message.channel.send(f"{message.author.mention}, {return_data["text"]}")

bot.run("token")
```

# Links

-   `Team. Warin Discord:` https://discord.gg/cGM4PcHvQq
pax2graphml 1.1.3
A python library for large-scale regulation network analysis using BIOPAX and GRAPHML
License: MIT
Requires Python: >=3.6.0

# PAX2GraphML 

## Features

PAX2GraphML is   dedicated to design biological reaction graph analysis softwares.

The package PAX2GraphML  allows to efficiently  manipulate   BioPAX data sources transformed as GRAPHML files.

It is expecially design  around the SPAIM reaction model (Substrate, Product, Activator, Inhibitor, Modulator). Among other things, it allows to  analyze the graphs, to extract sub-components and to build an influence graph.
Input graphs are in .graphml format, assumed under the SPAIM model.




##### Documentation


The package relies mainly on the python graph_tool module to extract, manipulate and save these graphs: https://graph-tool.skewed.de/static/doc/quickstart.html. 

Java is as well necessary for some sub-modules, like for BIOPAX export features.

the full documentation is available at  [https://fjrmoreews.github.io/pax2graphml/](https://fjrmoreews.github.io/pax2graphml/)

##### Installation

We provide a easy to use docker installation and a Debian/Ubuntu installation tutorial and a jupyter lab notebook with live examples.
 

The docker container provides the necessary environment to run the package (mainly, installation of python3 and graph_tool java and paxtools).

See   [https://gitlab.inria.fr/fmoreews/pax2graphml](https://gitlab.inria.fr/fmoreews/pax2graphml) for full installation instructions.



### Source repository

The sources are available at  [https://gitlab.inria.fr/fmoreews/pax2graphml](https://gitlab.inria.fr/fmoreews/pax2graphml)