semvec/pypi-packages huggingface dataset:
aiai-cli 0.1.13
Your friendly neighborhood AI agent optimization AI agent
Requires Python: >=3.11

# AIAI CLI

AIAI CLI is a powerful tool for optimizing AI agents through automated rule extraction and performance enhancement.

[![GitHub stars](https://img.shields.io/github/stars/zenbase-ai/aiai-cli?style=social)](https://github.com/zenbase-ai/aiai-cli/stargazers)

## Features

- **Agent Optimization**: Automatically identify and implement optimization rules for your AI agents
- **Custom Agent Support**: Optimize your own agent implementations
- **Demonstration Capabilities**: Includes a demo email agent for learning purposes

## Installation

```bash
pip install aiai-cli
```

AIAI CLI requires Python 3.11 or higher and an OpenAI API key for some features.

## Quick Start

```bash
# Run AIAI CLI
aiai

# Select options through the interactive interface
```

## Usage Examples

### Optimizing the Demo Agent

```bash
# Run AIAI CLI
aiai

# Select option 1 to optimize the demo agent
```

### Optimizing Your Custom Agent

Ensure your agent has:
1. A main entry point file
2. A `main(inputs=None)` function that runs your agent

```bash
# Run AIAI CLI
aiai

# Select option 2 to optimize your custom agent
# Provide the path to your agent's entry point file when prompted
```

## Documentation

For complete documentation, visit:
[AIAI CLI Documentation](https://docs.aiai.engineer/)

---

Developed by [Zenbase AI](https://zenbase.ai)
affine-transform 0.3.3
Easy to use multi-core affine transformations
Requires Python: >=3.8

Affine Transformation: C++17, OpenMP, Python
============================================

|test| |windows_test| |codecov| |rtd| |pypi| |python_vers| |GCC| |license| |codacy| |black|


.. |test| image:: https://github.com/NOhs/mgen/actions/workflows/test.yml/badge.svg
    :target: https://github.com/NOhs/mgen/actions/workflows/test.yml
    :alt: Test Status
.. |windows_test| image:: https://github.com/NOhs/affine_transform_nd/actions/workflows/test-package-windows.yml/badge.svg
    :target: https://github.com/NOhs/affine_transform_nd/actions/workflows/test-package-windows.yml
    :alt: Windows Status
.. |codecov| image:: https://codecov.io/gh/NOhs/affine_transform_nd/branch/master/graph/badge.svg
    :target: https://codecov.io/gh/NOhs/affine_transform_nd
    :alt: Codecov Status
.. |rtd| image:: https://readthedocs.org/projects/affine-transform-nd/badge/?version=latest
    :target: https://affine-transform-nd.readthedocs.io/en/latest/?badge=latest
    :alt: ReadTheDocs Status
.. |pypi| image:: https://img.shields.io/pypi/v/affine_transform.svg?color=dark%20green
    :target: https://pypi.org/project/affine_transform
    :alt: PyPI
.. |python_vers| image:: https://img.shields.io/pypi/pyversions/affine_transform
    :alt: PyPI - Python Version
.. |GCC| image:: https://img.shields.io/badge/GCC-9%20|%2010%20|%2011%20|%2012-blue
    :alt: Compiler Version
.. |license| image:: https://img.shields.io/github/license/NOhs/affine_transform_nd.svg?color=blue
    :target: https://opensource.org/licenses/MIT
    :alt: license
.. |codacy| image:: https://api.codacy.com/project/badge/Grade/e39c4c5b913d4237b77fa07f679ab521
    :target: https://www.codacy.com/app/NOhs/affine_transform_nd?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=NOhs/affine_transform_nd&amp;utm_campaign=Badge_Grade
    :alt: code quality
.. |black| image:: https://img.shields.io/badge/code%20style-black-000000.svg
    :target: https://github.com/ambv/black
    :alt: code style

This project explores how C++17 and OpenMP can be combined to write a
surprisingly compact implementation of n-dimensional parallel affine
transformations which are linked into Python via the ``affine_transform``
module.

While this project is still under development, the following features
are supported:

- Linear and cubic (without prefiltering) interpolation
- Constant boundaries
- Compiling code for arbitrarily dimensional data
- Parallelism via OpenMP
- Arbitrary shaped output arrays, allowing e.g. to only extract a transformed slice

Short example usage
-------------------

.. code-block:: python

    import numpy as np

    from affine_transform import transform
    from mgen import rotation_from_angle


    # Create a simple white square in an image
    original = np.zeros((601, 401))
    original[100:300, 100:300] = 1

    # Rotate by 22.5° (around the centre of the square (200,200))
    # and shift +200 in x and +100 in y
    transformed = transform(
        original, rotation_from_angle(np.pi / 8), np.array([200, 100]), origin=(200, 200)
    )
package-calculator-zriiman84 0.0.2
Un paquete que contiene una clase Calculadora para operaciones matemáticas básicas, con pyproject.toml
Requires Python: >=3.10

# package_calculator
Se tiene una clase Calculadora desde el módulo Calculadora.
Contiene las operaciones básicas de:
```
Suma
Resta
Multiplicación
División
Potenciación
Radicación
```

## Instalación
**Windows**
```
> pip install package-calculator-zriiman84
```

**MacOs**
```
> pip3 install package-calculator-zriiman84
```

## Uso
```
from package_calculator import Calculadora

> print('Sumar (6,3): ', Calculadora.sumar(6,3)) 
> print('Restar (6,3): ', Calculadora.restar(6,3))
> print('Dividir (6,3): ', Calculadora.dividir(6,3))
> print('Multiplicar (6,3): ', Calculadora.multiplicar(6,3))
> #Elevar 6 a la potencia 3 
> print('Potenciar (6,3): ', Calculadora.exponenciar(6,3)) 
> #Obtener la raíz cúbica de 6
> print('Raíz (6,3): ', Calculadora.obtener_raiz(6,3))
```
moana-pypi 0.2.0.1.1rc0
MOAna: Microlensing Observations ANAlysis tools
Requires Python: >=3.10

MOAna
=====

.. image:: https://img.shields.io/badge/GitHub-clementranc%2Fmoana-blue
   :target: https://github.com/clementranc/moana
.. image:: https://img.shields.io/github/license/clementranc/moana?color=blue
   :target: https://github.com/clementranc/moana/blob/master/LICENSE
   :alt: GitHub License
.. image:: https://readthedocs.org/projects/ulat/badge/?version=latest
   :target: https://ulat.readthedocs.io/en/latest/?badge=latest
   :alt: Documentation Status
.. image:: https://zenodo.org/badge/240124626.svg
   :target: https://zenodo.org/badge/latestdoi/240124626

MOANA (or MOAna) stands for Microlensing Observations ANAlysis tools. This package replaces uLAT (Micro-Lensing Analysis Tools) that has been renamed on October 2020. This python package is a work in progress, not yet designed for general use. A temporary documentation is available at https://ulat.readthedocs.io/.

If you use this code, please add a reference to:

.. code-block:: tex

   @software{moana,
     author       = {Clément Ranc},
     title        = {Microlensing Observations ANAlysis tools},
     month        = nov,
     year         = 2020,
     publisher    = {Zenodo},
     version      = {v0.1},
     doi          = {10.5281/zenodo.4257009},
     url          = {https://doi.org/10.5281/zenodo.4257009}
   }