semvec/pypi-packages huggingface dataset:
tuberiassantiagoa 0.1.1
Ejemplo de paquete
Requires Python: <3.12,>=3.10.0

# puentesantiago

Una biblioteca que permite realizar operaciones de ingeniería con puentes.

## Tabla de Contenidos

- [Instalación](#instalación)
- [Uso](#uso)
- [Características](#características)
- [Licencia](#licencia)
- [Contacto](#contacto)

## Instalación

Instala la librería usando `pip`:

```bash
pip install tuberiassantiagoa
```

## Uso

Ejemplo de uso

```Python
from resistencias.tuberias import leer_datos_desde_diccionario, optimizar_red, mostrar_red

if __name__ == "__main__":
		# Opción 2: Leer datos desde un diccionario
		datos = [
				{"point_id": 1, "x": 0, "y": 0, "demand": 10},
				{"point_id": 2, "x": 10, "y": 0, "demand": 15},
				{"point_id": 3, "x": 20, "y": 10, "demand": 20},
				{"point_id": 4, "x": 30, "y": 5, "demand": 25},
		]
		puntos_desde_diccionario = leer_datos_desde_diccionario(datos)

		conexiones = optimizar_red(puntos_desde_diccionario)
		mostrar_red(puntos_desde_diccionario, conexiones)
```
## Características

- Operaciones matemáticas básicas
- Optimización de redes de distribución de agua
- Lectura de puntos de red

## Licencia
Este proyecto está licenciado bajo la MIT License.

## Contacto
Información de contacto:

Nombre: Santiago Quiñones
Email: lsquinones@gmail.com
GitHub: lsquinones
ml-experiments 0.1.3
Monitor you model training anywhere.
Requires Python: >=3

# ML Experiments

This package is under development.


## Installation

```python
pip3 install ml-experiments --upgrade

# or (if you are not getting the latest version)
pip3 install git+https://github.com/abdalrhmanu/ml-experiments.git --upgrade
```

### Notification
```python
from ml_experiments.notify import notify_desktop, notify_email

@notify_desktop(title='Testing Completed!')
  def train():
    // .. some training code ..
    return {"loss": 5}

@notify_email(recipient_emails=['emai1@email.com'], sender_email=['emai2@email.com','emai3@email.com'])
  def train():
    // .. some training code ..
    return {"loss": 5}
```

### Running Tests
```python
cd tests
python3 test_filename.py
```
colorpycker 1.0.0
A simple color picker written in Qt

<h3 align="center">
	<img src="https://github.com/user-attachments/assets/63234655-e60b-496e-bf0d-b5b059b79a66" width="100" alt="Logo"/><br/>
	<a href="https://github.com/transistxr/colorpycker">Colorpycker</a>
</h3>

<p align=center>
  <a>A system-wide color picker written in Qt inspired by <a href="https://learn.microsoft.com/en-us/windows/powertoys/color-picker">PowerToys Color Picker</a></a>.
</p>

![colorpycker](https://github.com/user-attachments/assets/9274635f-1897-4d65-83b0-0a28a7c40d19)


**Note: Currently only works on X11 systems**

# Installation

```
pip install colorpycker
```
streaming-assistants 0.15.11
Streaming enabled Assistants API
Requires Python: <4.0,>=3.10

# streaming_assistants

~The official OpenAI Assistants API does not yet support streaming (although this functionality has been hinted at since launch back in November). Streaming is critical for a large subset of genai use cases and there has been significant feedback that it's the major blocker for addption of the Assistants API from many. We decided that we (and our users) couldn't wait so we implemented streaming support in Astra Assistants API.~

OpenAI has now added streaming support with streaming runs. This libriary will now mainly be used to streamline support for third partry llm providers. We will continue to support our old streaming messages approach for existing users.

# How to use    

Install streaming_assistants using your python package manager of choice:

```
poetry add streaming_assistants
```


import and patch your client:

```
from openai import OpenAI
from streaming_assistants import patch

client = patch(OpenAI())

```

# Server

The astra-assistants server code is now open source (Apache2)! Check it out here https://github.com/datastax/astra-assistants-api
smithed 0.19.0
Smithed's Python client with CLI, weld and more
Requires Python: >=3.10

# smithed-python
The python package for all things Smithed. Includes weld, cli, and libraries (via [`smithed-libraries`](https://github.com/Smithed-MC/Libraries)).

## Weld
> The fastest pack merger of the west 🚅, build on beet technologies™

- [Docs](https://wiki.smithed.dev/weld/)

```bash
pip install smithed
```

## Contributing

We use [rye](https://rye-up.com/) to manage this project's dependencies. This will handle every aspect from grabbing the correct python, downloading dependencies, and managing a virtual environment.

To get started, install rye:
- [smithed-python](#smithed-python)
  - [Weld](#weld)
  - [Contributing](#contributing)
    - [MacOS and Linux](#macos-and-linux)
    - [Windows](#windows)
  - [Developer Setup](#developer-setup)

### MacOS and Linux

```bash
curl -sSf https://rye-up.com/get | bash
```

### Windows

Check the guide [here](https://rye-up.com/guide/installation/#installing-rye) for an in-depth explanation.

## Developer Setup

Once installed, you can sync the project to generate a virtual environment and you'll be set!

```bash
git clone https://github.com/Smithed-MC/smithed-python
cd smithed-python
rye sync
```