semvec/pypi-packages huggingface dataset:
nvidia-mig-py 0.1.1
Python bindings for Nvidia MIG

# NVIDIA MIG Manager

A Python library for managing NVIDIA GPU Multi-Instance GPU (MIG) partitions and resources. This library provides a simple interface to create, list, and destroy MIG partitions, as well as monitor their resource usage. **Only tested with NVIDIA A30 GPUs.**

---

## Features

- **MIG Partition Management**: Create, list, and destroy MIG partitions on NVIDIA GPUs that support MIG.
- **Resource Allocator**: Automatically create MIG partitions based on workload memory requirements.
- **Resource Monitoring**: Track memory, compute utilization, temperature, and power usage for each MIG partition to maintain optimal performance and prevent bottlenecks.

---

## Installation

### Requirements

- **Python**: >= 3.7
- **NVIDIA GPU with MIG support**
- **NVIDIA Driver and DCGM Python bindings**

### Install via pip

To install the library, simply clone the repository and install dependencies:

```bash
git clone git@github.com:MoonOoOoO/nvidia-mig-py.git
pip install .
```
aifootprintcleaner 0.1.1
Removes invisible Unicode characters, control codes, and non-printable artifacts commonly introduced by AI assistants like ChatGPT, Copilot, and others.
Requires Python: >=3.7

# AIFootPrintCleaner

**AIFootPrintCleaner** is a lightweight CLI tool that removes invisible Unicode characters, control codes, and non-printable artifacts commonly introduced by AI assistants like ChatGPT, Copilot, and others.

> Works recursively over any directory and supports `.py`, `.js`, `.cpp`, `.html`, and other source code formats.

## Features

- Removes zero-width and invisible Unicode characters (`\u200b`, `\ufeff`, etc.)
- Cleans non-printable control characters from source files
- CLI usage: `aifoodprintcleaner [directory]`
- Safe overwriting of source files

## Quickstart

```bash
pip install aifoodprintcleaner
aifoodprintcleaner src/
```

## Run Tests
```bash
pytest -s .
```

## License
MIT License