semvec/pypi-packages huggingface dataset:
hanzo-network 0.1.3
Agent network orchestration for Hanzo AI
Requires Python: >=3.8

# Hanzo Network

Decentralized compute network for AI workloads.

## Installation

```bash
pip install hanzo-network
```

## Usage

```python
from hanzo_network import Network

# Initialize the network
network = Network()

# Join the network as a compute provider
network.join()
```

## Documentation

See [https://docs.hanzo.ai/network](https://docs.hanzo.ai/network) for full documentation.
eqnlint 0.2.5
Audits LaTeX papers for units, dimensions, symbols, citations, context, opacity, and prose.
Requires Python: >=3.9
Keywords: latex, audit, linter, units, dimensions, citations, prose

# eqnlint

`eqnlint` is a scientific LaTeX equation and text auditing toolkit.  
It runs a suite of AI-powered audits to check for consistency, correctness, and plausibility in academic documents.

## Installation

```bash
pip install eqnlint
```

> Requires Python 3.9+

## Command Line Usage

Run **all audits**:

```bash
eqnlint -f my_paper.tex
```

Run an **individual audit**:

```bash
audit-units -f my_paper.tex
audit-symbolic -f my_paper.tex
audit-context -f my_paper.tex
audit-prose -f my_paper.tex
audit-citation -f my_paper.tex
audit-opacity -f my_paper.tex
audit-dimensional -f my_paper.tex
```

## Available Audits

- **citation_audit** – Check LaTeX citations for presence, correctness, and plausibility.
- **context_audit** – Verify that citations match their surrounding context.
- **dimensional_audit** – Check equations for dimensional consistency.
- **opacity_audit** – Identify undefined or unclear notation.
- **prose_audit** – Review surrounding text for clarity and academic tone.
- **symbolic_audit** – Audit symbolic math for correctness.
- **units_audit** – Verify units in equations and expressions.

## Example

```bash
eqnlint -v -f ~/Documents/MyPaper.tex
```

Outputs audit results in human-readable and/or JSON formats.

## License

MIT License. See [LICENSE](LICENSE) for details.
mpy-cross-v6.3 1.1.1
Python wrapper for the mpy-cross tool from MicroPython.

# Python packaging for mpy-cross

This repository contains Python packaging to distribute the `mpy-cross` tool
from [MicroPython](https://github.com/micropython/micropython) via PyPI.

There are multiple MPY ABI versions, so you will need to install the package
that corresponds to the target MicroPython version.

Alternatively, you can install the [mpy-cross-multi](https://pypi.org/project/mpy-cross-multi/)
package to install all versions of `mpy-cross` at once.

For MicroPython 1.23 and up:

    pip install mpy-cross-v6.3

For MicroPython 1.22:

    pip install mpy-cross-v6.2

For MicroPython 1.20 to 1.21:

    pip install mpy-cross-v6.1

For MicroPython 1.19:

    pip install mpy-cross-v6

For MicroPython 1.12 to 1.18:

    pip install mpy-cross-v5