semvec/pypi-packages huggingface dataset:
VHHHATISpy 1.0.0
Fetch ATIS data for Hong Kong International Airport.

# VHHH ATIS

## Overview

This Python script allows you to fetch the Automatic Terminal Information Service (ATIS) data for Hong Kong International Airport (VHHH) from the official ATIS webpage (http://www.hkatis.com/atis/atis.php). ATIS provides important information to pilots and air traffic controllers, including meteorological data, runway conditions, and other essential details for safe flight operations.

## Requirements

- Python 3.7 or above
- Required libraries: `requests`, `BeautifulSoup`

## Usage

1. Clone or download this repository to your local machine.

2. Install the required Python libraries if you haven't already:

   ```bash
   pip install requests beautifulsoup4


## Disclaimer

Please ensure that you comply with the terms of use and guidelines provided by the Hong Kong ATIS website when accessing and using their data. This script is for educational and informational purposes only.

## License

This script is provided under the MIT License.
toxinet 0.0.2
Identifying structural motif with SMILES
Requires Python: >=3.7

# VisualTox, a deep learning model for chemical toxicity assessment with interpretive visualization

The package provides two major functions:

- Train a Conv+LSTM model with active learning.
- Generate Chemical Activation Map for an example chemical

![](activation_flow.png)

##  Prerequisites

This package requires:

- [Tensorflow](https://www.tensorflow.org/)
- [scikit-learn](http://scikit-learn.org/stable/)
- [RDKit](https://www.rdkit.org/)
toxinet-chemmotif 0.0.1
Identifying structural motif with SMILES
Requires Python: >=3.7

# VisualTox, a deep learning model for chemical toxicity assessment with interpretive visualization

The package provides two major functions:

- Train a Conv+LSTM model with active learning.
- Generate Chemical Activation Map for an example chemical

![](activation_flow.png)

##  Prerequisites

This package requires:

- [Tensorflow](https://www.tensorflow.org/)
- [scikit-learn](http://scikit-learn.org/stable/)
- [RDKit](https://www.rdkit.org/)
greenformatics-ds2-utils 1.2.16
This is a utility package to support data scraping from different data sources.
Requires Python: >=3.6
Keywords: python,data scraping,utilities,util,utility

This is a utility package to support data scraping from different data sources like RESTand SOAP APIs, Google Sheets, online CSV files, databases including SQL, NoSQL and LDAP etc.The goal of this package to get all the necessary utilities together, maintain them in a singlecode base and make the available for all the data scraping project from PyPi hence it isupgradeable in a particular data scraper program.
tele-mod 2.5
Telebot listener
Requires Python: ~=3.6
Keywords: python,pytelegrambotapi,telegram,telebot


## Installing
```bash
pip3 install -U tele-mod
```

## Telemod
> Message listener example

```python
import asyncio
from telebot import async_telebot, types
from telemod import Listener

bot = async_telebot.AsyncTeleBot(token="")
loop = asyncio.get_event_loop()

listener = Listener(bot=bot, loop=loop)

@bot.message_handler(commands=["start"])
async def _(message: types.Message):
    msg = await listener.listen_to(m=message, text="What's Your name?")
    await bot.reply_to(msg, f"Your name is {msg.text}")
    # to delete question message
    # await bot.delete_message(chat_id=message.chat.id, message_id=msg.output.id)

async def main():
    print((await bot.get_me()).first_name)
    await bot.infinity_polling(skip_pending=True)

loop.run_until_complete(main())
```

> CallbackQuery Listener Example

```python
@bot.callback_query_handler(func = lambda query: True)
async def _(query: types.CallbackQuery):
    if query.data == "name":
        msg = await listener.listen_to(
            query,
            "What's your name?",
            filters=["text"]
        )
        return await bot.reply_to(msg, f"Your name is {msg.text}")
```

> Simple usage example

```python
msg = await listener.listen(
    chat_id=chat_id,
    text="What's your name",
    from_id=from_id,
    filters=["text", "photo"]
)
print(msg)
```

> Time out example

```python
@bot.message_handler(commands=["start"])
async def start_handler(message: types.Message):
    try:
        msg = await listener.listen_to(message, "What's your name?", timeout=10)
    except TimeOut:
        msg = None
        await bot.reply_to(message, "Time Out")
    if msg:
        return await bot.reply_to(msg, f"Hi {msg.text}")
```

> Filters type example

```python
@bot.message_handler(commands=["ask"], chat_types=["supergroup"])
async def _(message: types.Message):
    msg = await listener.listen(
        chat_id=message.chat.id,
        text="What's your name",
        filters=["sender_chat", "text"],
        filters_type=2
    ) # will only listen to an message has "sender_chat" and "text" attribute
    msg = await listener.listen(
        chat_id=message.chat.id,
        text="What's your name",
        filters=["sender_chat", "text"],
        filters_type=1
    ) # will listen to any messgae has "sender_chat" or "text" attribute
    return await bot.reply_to(msg, msg.text)
```

## Community
- Join To Our Channel: https://t.me/Y88F8

## Examples
- https://github.com/x72x/tele-mod/tree/main/examples