semvec/pypi-packages huggingface dataset:
multimodal-parser 0.1.1
[DEPRECATED] Extract content from PDF documents using multimodal LLMs in markdown format
Requires Python: >=3.13

# Multimodal Parser [DEPRECATED]

⚠️ **DEPRECATION NOTICE:** This package is no longer maintained.

Extract content from PDF documents using multimodal LLMs in markdown format.

## Usage

```bash
uv run markdown.py [input-file]
```

## Installation

- ***Install uv:***
    - *Mac OS and Linux:*
        ```bash
        curl -LsSf https://astral.sh/uv/install.sh | sh
        ```
    - *Windows:*
        ```bash
        powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
        ```

- ***Install dependencies:***
    ```bash
    uv sync --all-extras && source .venv/bin/activate
    ```

## Host Ollama locally

- ***Install Ollama:***
    - *Linux:*
        ```bash
        curl -fsSL https://ollama.com/install.sh | sh
        ```
    - *Mac OS:*
        ```bash
        brew install ollama
        ```
    - *Windows:*
        Download from [here](https://ollama.com/download/OllamaSetup.exe) and install.

- ***Run Ollama:***
    - Pull models using: `ollama pull [model-name]`
    - Start Ollama server: `ollama serve`
    - Verify if the server is running: `curl http://localhost:11434/api/version`
ng-data-pipelines-sdk 1.21.3
A library for interacting with data from Amazon S3 through PySpark. Read, write and transform data using a powerful and intuitive API with strong consistency and type checking, thanks to Pydantic. Compatible with Amazon MWAA running Airflow 2.7.2 and above.
Requires Python: <3.12,>=3.9

docker run --rm -it -d -e PYTHONPATH="/ng-data-pipelines-sdk" -v $pwd:/ng-data-pipelines-sdk pyspark-local
altikrity 0.7
Lightweight encryption library with multi-layer encryption features.
Requires Python: >=3.6


# **Altikrity**

**Altikrity** is a Python library designed for multi-layer encryption. It allows you to securely encrypt your code and data using a special method, ensuring they remain safe and protected. The library provides functions for encrypting text and running encrypted code seamlessly.

## **Features**
- Multi-layer encryption ensuring robust security.
- Secure execution of encrypted code without the need to decrypt it.
- Simple and easy-to-use API for encrypting text and running encrypted code.
- Ideal for developers who need to protect sensitive code and data.

## **Installation**

You can install **Altikrity** using `pip`:

```bash
pip install altikrity
```

## **Usage**

### **1. Encrypting Text**

Use the `encrypt_text` function to encrypt plain text in a secure manner.

```python
from altikrity import encrypt_text

text = "Hello, this is a secret message"
encrypted_text = encrypt_text(text)
print(encrypted_text)
```

### **2. Running Encrypted Code**

You can run encrypted code directly without decrypting it.

```python
from altikrity import run_encrypted_code

encrypted_code = "your_encrypted_code_here"
run_encrypted_code(encrypted_code)
```

## **Examples**

Here are some common examples of how to use the library:

### **Example 1: Encrypt text**

```python
text = "This is a test message."
encrypted = encrypt_text(text)
print("Encrypted Text:", encrypted)
```

### **Example 2: Encrypt and run code**

```python
encrypted_code = "your_encrypted_python_code_here"
run_encrypted_code(encrypted_code)
```

## **About the Developer**

**Altikrity** was developed by **Abdullah Al-Tikriti**, a passionate programmer from Iraq. At the age of 14, Abdullah created this library to provide secure encryption solutions for developers and to help protect sensitive data.

Feel free to reach out for any questions or suggestions!

## **License**

Altikrity is licensed under the MIT License.
sphinx-helm 0.2.1
A Sphinx plugin for generating documentation for your Helm charts.
Requires Python: >=3.8

# sphinx-helm

[![PyPI - Version](https://img.shields.io/pypi/v/sphinx-helm)](https://pypi.org/project/sphinx-helm/)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/sphinx-helm)](https://pypi.org/project/sphinx-helm/)
[![GitHub Actions Workflow Status](https://img.shields.io/github/actions/workflow/status/kr8s-org/sphinx-helm/test.yaml)](https://github.com/kr8s-org/sphinx-helm/actions/workflows/test.yaml)
[![Read the Docs](https://img.shields.io/readthedocs/sphinx-helm)](https://sphinx-helm.readthedocs.io/en/latest/)
[![PyPI - License](https://img.shields.io/pypi/l/sphinx-helm)](https://pypi.org/project/sphinx-helm/)
[![EffVer Versioning](https://img.shields.io/badge/version_scheme-EffVer-0097a7)](https://jacobtomlinson.dev/effver)

sphinx-helm is a Sphinx plugin for automatically generating documentation for your [Helm charts](https://helm.sh/).


Features:

- Render documentation from your `Chart.yaml` and `values.yaml` files.
- Sphinx extension for including in Python documentation.
- Works with `.rst` and `.md` documentation source files.

## Installation

```
$ pip install sphinx-helm
```

## Usage

Add the extension to your Sphinx config.

```python
# conf.py

extensions = ['sphinx_helm.ext']
```

Use the directive to generate documentation for your helm chart.

### reStructuredText

```rst
.. helm:: path/to/your/helm/chart
```

### MyST Markdown

````markdown

```{helm} path/to/your/helm/chart

```

````