semvec/pypi-packages huggingface dataset:
thread-chunks 1.0.5
A python package for performing memory intensive computations in parallel using chunks and checkpointing.
Requires Python: >=3.7
Keywords: checkpointing, chunk, chunking, chunks, multithreading, parallel, parallelisation, thread, threading

# thread-chunks
A Python package for performing memory-intensive computations in parallel using chunks and checkpointing.

[![Unit Tests](https://github.com/Christopher-K-Long/thread-chunks/actions/workflows/test-python-package.yml/badge.svg)](https://github.com/Christopher-K-Long/thread-chunks/actions/workflows/test-python-package.yml)

## Installation

The Python package can be installed with pip as follows:
```bash
pip install thread-chunks
```

The PyPI page can be found here: [https://pypi.org/project/thread-chunks](https://pypi.org/project/thread-chunks).

### Requirements:

Python >= 3.7

Packages:

- [ray](https://www.ray.io/)
- [tqdm](https://tqdm.github.io/)
- [saveable-objects](https://saveable-objects.readthedocs.io/)

## Documentation

Documentation including worked examples can be found at: [https://thread-chunks.readthedocs.io/](https://thread-chunks.readthedocs.io/).

## Source Code

Source code can be found at: [https://github.com/Christopher-K-Long/thread-chunks](https://github.com/Christopher-K-Long/thread-chunks).


## Version and Changes

The current version is [`1.0.5`](ChangeLog.md#release-105). Please see the [Change Log](ChangeLog.md) for more
details.
e164-python-sk 0.1.0
A Python SDK package for accessing the e164.com phone number validation API.
Requires Python: >=3.6

# E164 Python SDK

A Python library for handling E.164 formatted phone numbers. This library allows you to validate and retrieve metadata about phone numbers using the e164.com API.

## Installation

```bash
pip install e164-python
```

## Usage

Here's a quickstart guide to using the library:

```python
from e164_python.e164 import E164

# Initialize the E164 client
client = E164()

# Lookup a phone number
try:
    response = client.lookup("+441133910781")
    print(response.to_dict())  # Print the response as a dictionary
except ValueError as e:
    print(f"Error: {e}")
```

## Features

- Validate E.164 formatted phone numbers.
- Retrieve metadata such as country code, operator, and phone number type.
- Easy-to-use Python interface.

For more details, refer to the documentation or explore the source code.
byusi-dlb 0.2.0
Multi-threaded downloader with Rich progress bars
Requires Python: >=3.6

# dlb

### Installer
1. 使用 pip 的 PyPi 安装
```python
pip install dlb
```

2. 使用开源仓库安装
```python
pip install git+https://gitee.com/byusi/dlb.git
```
sheng-dholuo-translator 0.1.0
A cultural nuance translator for Sheng and Dholuo with AI support

# Sheng-Dholuo Translator SDK

A cultural nuance translator for Sheng (Kenyan urban slang) and Dholuo (Luo language), built with tech swagger. Translate phrases, capture vibes, and even train AI models with your own data.

## Features
- Translation using CSV lookup, fuzzy matching, and AI (`facebook/m2m100_418M`).
- Context-aware translations (`casual`, `formal`, `romantic`).
- Sentiment-based vibe prediction.
- Interactive CLI with commands like `translate`, `add`, `history`, `clear`, `search-vibe`, `random`, `stats`, `export`, `train`.
- Fine-tune the AI model with custom data.

## Upcoming Features
- Integration with advanced AI like Grok for more nuanced translations.
- Real-time data collection from X posts to expand the phrase database.

## Installation

Install via pip:

```bash
pip install sheng-dholuo-translator
```

### Requirements

`Python 3.8+`,
`pandas`, `colorama`, `fuzzywuzzy`, `transformers`, `torch`, `datasets`, `sentencepiece`

### Usage

#### Translate a Phrase

```python
from sheng_dholuo_translator import CulturalTranslator

translator = CulturalTranslator("phrases.csv")
result = translator.translate("Mambo vipi?", lang_filter="Sheng-English")
print(result['translation'])  # Output: What’s up?
print(result['vibe'])  # Output: Casual, greeting
```

##### Add a New Phrase

```python
translator.add_phrase("Niko freshi", "I’m fresh", "Sheng-English", "Confident, stylish")
```

###### More Features

Reverse translation (English to Sheng/Dholuo)
Search by vibe (e.g., "hype")
Get stats on your phrase collection
Export data for AI training

###### Contributing

Add more Sheng and Dholuo phrases by using the `add_phrase` method or submitting a pull request on GitHub.

###### Author

Built by `Kevin Omondi Jr.` with Kenyan pride and AI dreams.
envialosimple-transaccional 0.2.0
Python SDK for EnvíaloSimple Transaccional
Requires Python: <4.0,>=3.8

<a href="https://envialosimple.com/transaccional"><img src="https://envialosimple.com/images/logo_tr.svg" width="200px"/></a>

# EnvíaloSimple Transaccional - Python SDK

## Requirements

- Python 3.8 or higher
- EnvíaloSimple Transaccional API Key ([Create a demo account for free here](https://envialosimple.com/transaccional))

## Installation

```bash
pip install envialosimple-transaccional
```

## Basic Usage

```python
from envialosimple.transaccional import Transaccional
from envialosimple.transaccional.mail import MailParams

estr = Transaccional(your_api_key)

params = MailParams(
        from_email='no-reply@mycompany.com', 
        from_name='MyCompany Notifications',
        to_email='john.doe@example.com', 
        to_name='John Doe',
        reply_to='reply@here.com',
        subject='This is a test for {{name}}', 
        preview_text='A glimpse of what comes next...',
        html='<h1>HTML emails are cool, {{name}}</h1>', 
        text='Text emails are also cool, {{name}}',
        context={'name': 'John'})

estr.mail.send(params)
```

## Multiple Recipients Usage

```python
from envialosimple.transaccional import Transaccional
from envialosimple.transaccional.mail import MailParams

estr = Transaccional(your_api_key)

params = MailParams(
        from_email='no-reply@mycompany.com', 
        from_name='MyCompany Notifications',
        to_email=[
                {"email": 'jane.doe@example.com', "name": 'Jane Doe'},
                {"email": 'sean.smith@example.com', "name": 'Sean Smith'},
                {"email": 'john.doe@example.com'}
        ], 
        reply_to='reply@here.com',
        subject='This is a test for {{name}}', 
        preview_text='A glimpse of what comes next...',
        html='<h1>HTML emails are cool, {{name}}</h1>', 
        text='Text emails are also cool, {{name}}',
        context={'name': 'John'})

estr.mail.send(params)
```