semvec/pypi-packages huggingface dataset:
spam-classifier-library 0.1.8
A library for spam classification

# Spam Classifier Library

Это библиотека для классификации спама с использованием машинного обучения.

## Введение

Эта библиотека предоставляет модель для определения спама в текстовых данных. Она использует различные методы машинного обучения для обучения на текстовых данных, чтобы определить, является ли сообщение спамом или нет.

**Важно:** Эта модель все еще находится в ранней стадии разработки и не распознает все виды спама. Разработчики работают над улучшением точности и расширением функциональности.

## Установка

Вы можете установить библиотеку с помощью pip:

```bash
pip install spam-classifier-library
```

Пример использования: 
```bash
from TotoSpam.utils import load_model, load_vectorizer, classify_sentence

# Загрузка предварительно обученной модели и векторизатора
model = load_model(11730, 32, 1)
vectorizer = load_vectorizer()

# Пример нового предложения, которое нуж.но классифицировать
new_sentence = ""

# Классификация предложения
result = classify_sentence(new_sentence, model, vectorizer)
print(result)
django-client-manager 1.0
A Client manager for custom django user.
Keywords: django client manager

# Django Client Manager

Django Client Manager is a Python library designed to streamline the process of creating custom user accounts in Django applications. This library simplifies the handling of Django's custom user creation by providing a set of convenient and efficient tools.

## Features

- **Easy Custom User Creation**: Simplifies the process of creating custom user accounts in Django projects.

- **Password Hashing**: Create secure hashed password.

- **Password Strength Validation**: Built-in password strength validation to enhance security.



## Installation

```bash
pip install django-client-manager
```

## Quick Start

1. Install the package using the command mentioned above.

2. Configure your Django project settings:

   ```python
   # models.py
   
   from django-client-manager.client import Client
   ```

3. Use the `ClientManager` in your code:

   ```python
   from django.db import models
   from .custom import Client
   
   class TestClient(Client):
       pass
 
   ```




## Contributions

Contributions are welcome! Feel free to open issues, submit pull requests, or provide feedback.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
syre-excel-template-runner 0.0.2
Excel template runner for Syre.
Requires Python: >=3.8
Keywords: syre

# syre_excel_template_runner

[![PyPI - Version](https://img.shields.io/pypi/v/syre-excel-template-runner.svg)](https://pypi.org/project/syre-excel-template-runner)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/syre-excel-template-runner.svg)](https://pypi.org/project/syre-excel-template-runner)

-----

**Table of Contents**

- [Installation](#installation)
- [License](#license)

## Installation

```console
pip install syre-excel-template-runner
```

## About
Syre's Excel template runner allows [Syre](https://syre.ai) to use Excel workbooks as analysis templates for automation.
See [our tutorials](https://syre.ai/start/excel-templates) for more info.

## License

`syre-excel-template-runner` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.
megagpt 1.0.0
Unofficial blackbox api library for python
Requires Python: >=3.6
Keywords: megagpt mega api chatGPT GPT dogie

# megagpt
 An unofficial api to work with original chatgpt on python
 
 Example code:
 ```
 import megagpt
 prompt = input('Please input prompt: ')
 megagpt.freegpt(prompt)
 ```

 installing library:
 ```
 pip install megagpt
 ```
gptultra 1.0.0
Unofficial blackbox api library for python
Requires Python: >=3.6
Keywords: gptultra ultra api chatGPT GPT dogie

# gptultra
 An unofficial api to work with original chatgpt on python
 
 Example code:
 ```
 import gptultra
 prompt = input('Please input prompt: ')
 gptultra.freegpt(prompt)
 ```

 installing library:
 ```
 pip install gptultra
 ```
bitlocker-encryption-status 0.0.2
Library for get BitLocker-encrypted drives status using Python .
Requires Python: >=3.6
Keywords: bitlocker encryption status

# BitLocker Encryption Status Checker

This library allows you to get the encryption status of BitLocker-protected drives. It Float value of encryption progress or Bool value of drive encryption.


## Prerequisites

-   Python 3.x
-   Windows 7, 8, 8.1, 10 or 11
-   Administrator access to run the `manage-bde` command


## Python requirements

- This library used pure Python packages and doesn't need to any external libraries - ctypes, subprocess and re


## Usage

- Install package via pip:
   `pip install bitlocker_encryption_status`


## Example

`





`

In the above example, the script displays the encryption status for drive V, which is 97.85% encrypted. However, the encryption status for drive F is not available.

## Notes

-   This script uses the `manage-bde` command, which is a Windows-specific command-line tool for managing BitLocker. It not work on non-Windows systems.
    
-   Ensure that you run the library funcs with administrator privileges to access the `manage-bde` command.
    
    

## License

This script is released under the MIT License.