semvec/pypi-packages huggingface dataset:
qblur 0.1.0
Quantum-Inspired Image Smoothing via Decoherence Simulation
License: MIT
Requires Python: >=3.8

# qblur

**Quantum-Inspired Image Smoothing**

This package simulates quantum decoherence as image blurring.  
It treats blurring as a loss of phase coherence in the intensity field.

### Example

```python
import qblur
img = qblur.qblur_image("cameraman.png", decoherence=0.6)
gpt5-codex-cli 0.1.0
Task-oriented GPT-5 Codex command line interface with streaming and web search
License: MIT
Requires Python: >=3.9
Keywords: openai, codex, cli, assistant, gpt-5

# GPT-5 Codex CLI

A lightweight terminal client that mirrors the experience of products like OpenAI's Codex CLI, Claude Code, and Gemini Code. The tool focuses on high-level task execution (not just code generation) by defaulting to the `gpt-5-codex` model with both streaming output and the web search tool enabled.

## Features

- Autodetects `OPENAI_API_KEY` and guides you to create one if it is missing.
- Streaming responses that closely resemble established AI coding assistants.
- Web search tool enabled by default so the model can pull in fresh information as needed.
- Clean interactive loop for multi-turn task planning and execution, plus one-shot mode via CLI arguments.

## Installation

```bash
pip install -e .
```

This project depends on the [official OpenAI Python SDK](https://pypi.org/project/openai/). Install it automatically through the editable install above or explicitly with `pip install openai`.

## Usage

Interactive session:

```bash
export OPENAI_API_KEY="sk-..."
gpt5-codex
```

Single task run:

```bash
gpt5-codex "Plan a two-day itinerary for Tokyo that balances food, art, and tech"
```

Optional flags:

- `--model MODEL_NAME` – override the default `gpt-5-codex` model.
- `--temperature FLOAT` – tune the generation temperature (default `0.2`).
- `--no-search` – disable the built-in web search tool.
- `--no-stream` – disable streaming output.

## Testing

```bash
pip install -e .[dev]
pytest
```

## Publishing to PyPI

The repository includes a standard `pyproject.toml`. To publish:

```bash
python -m build
python -m twine upload dist/*
```

> **Note:** Uploading requires a PyPI account and network access, which may not be available in every environment.