semvec/pypi-packages huggingface dataset:
zerohertzLib 1.2.8
Zerohertz's Library
Requires Python: >=3.10
Keywords: Scientific/Engineering, Mathematics, Artificial Intelligence, Software Development, Libraries

<p align="center">
    <img src="https://raw.githubusercontent.com/Zerohertz/zerohertzLib/refs/heads/master/docs/assets/props/zerohertzLib-tp-red.png" alt="zerohertzLib-tp-red"/>
</p>

<h2 align = "center">
    ⚡ Zerohertz's Library ⚡
</h2>

<p align="center">
    <br/>
    <a href="https://pypi.org/project/zerohertzLib/">
        <img src="https://img.shields.io/pypi/v/zerohertzLib?style=for-the-badge&logo=PyPI&logoColor=FFFFFF&labelColor=3775A9&color=007EC6" alt="PyPI version"/>
    </a>
    <a href="https://pypi.org/project/zerohertzLib/">
        <img src="https://img.shields.io/pypi/pyversions/zerohertzLib?style=for-the-badge&logo=PyPI&logoColor=FFFFFF&labelColor=3775A9&color=007EC6" alt="Python"/>
    </a>
    <br/>
    <a href="https://github.com/Zerohertz/zerohertzLib">
        <img src="https://img.shields.io/badge/GitHub-181717?style=for-the-badge&logo=GitHub&logoColor=white"/>
    </a>
    <a href="https://app.readthedocs.org/projects/zerohertzlib/">
        <img src="https://img.shields.io/badge/Read the Docs-8CA1AF?style=for-the-badge&logo=readthedocs&logoColor=white"/>
    </a>
    <a href="https://zerohertzlib.readthedocs.io/">
        <img src="https://img.shields.io/badge/Material for MkDocs-526CFE?style=for-the-badge&logo=materialformkdocs&logoColor=white"/>
    </a>
    <br/>
    <a href="https://github.com/Zerohertz/zerohertzLib/blob/master/LICENSE">
        <img src="https://img.shields.io/pypi/l/zerohertzLib" alt="LICENSE"/>
    </a>
    <a href="https://github.com/astral-sh/ruff">
        <img src="https://img.shields.io/badge/code%20style-ruff-ruff"/>
    </a>
    <a href="https://pypi.org/project/zerohertzLib/">
        <img alt="PyPI wheel" src="https://img.shields.io/pypi/wheel/zerohertzLib"/>
    </a>
    <a href="https://pypi.org/project/zerohertzLib/">
        <img src="https://img.shields.io/pypi/dm/zerohertzLib" alt="Downloads"/>
    </a>
    <a href="https://app.codacy.com/gh/Zerohertz/zerohertzLib/dashboard?utm_source=gh&utm_medium=referral&utm_content=&utm_campaign=Badge_grade">
        <img src="https://app.codacy.com/project/badge/Grade/b08b1d140ee54ae1aa8ee251cb5888ff"/>
    </a>
    <a href="https://codecov.io/github/Zerohertz/zerohertzLib" >
        <img src="https://codecov.io/github/Zerohertz/zerohertzLib/graph/badge.svg?token=6OAPJIZ2NX"/>
    </a>
    <a href="https://deepwiki.com/Zerohertz/zerohertzLib">
        <img src="https://deepwiki.com/badge.svg" alt="Ask DeepWiki"/>
    </a>
</p>

```bash
sudo apt install python3-opencv -y
pip install zerohertzLib
pip install zerohertzLib[api]
pip install zerohertzLib[mlops]
pip install zerohertzLib[quant]
pip install zerohertzLib[all]
```

<p align="center">
    <img src="https://raw.githubusercontent.com/Zerohertz/zerohertzLib/refs/heads/master/docs/assets/props/schematic.png" alt="schematic" width="600"/>
</p>

```python
import zerohertzLib as zz
```
reflex-clerk-api 1.2.4
Reflex custom component wrapping @clerk/clerk-react and integrating the clerk-backend-api
Requires Python: >=3.11
Keywords: clerk, clerk-backend-api, reflex, reflex-custom-components

![Test Status](https://github.com/TimChild/reflex-clerk-api/actions/workflows/ci.yml/badge.svg?branch=v1.0.0)
![PyPi publish Status](https://github.com/TimChild/reflex-clerk-api/actions/workflows/publish.yml/badge.svg)
![Demo Deploy Status](https://github.com/TimChild/reflex-clerk-api/actions/workflows/deploy.yml/badge.svg)

# reflex-clerk-api

A Reflex custom component for integrating Clerk authentication into a Reflex application.

See a [Demo](https://reflex-clerk-api-demo.adventuresoftim.com).

See the [Docs](https://timchild.github.io/reflex-clerk-api/about/)

## Installation

Any of:

```bash
uv add reflex-clerk-api

pip install reflex-clerk-api

poetry add reflex-clerk-api
```

## Usage

```python
import reflex_clerk_api as clerk

def index() -> rx.Component:
    return clerk.clerk_provider(
        rx.container(
            clerk.clerk_loaded(
                clerk.signed_in(
                    clerk.sign_on(
                        rx.button("Sign out"),
                    ),
                ),
                clerk.signed_out(
                    rx.button("Sign in"),
                ),
            ),
        ),
        publishable_key=os.environ["CLERK_PUBLISHABLE_KEY"],
        secret_key=os.environ["CLERK_SECRET_KEY"],
        register_user_state=True,
    )
```

## Contributing

Feel free to open issues or make PRs.

Usual process for contributing:

- Fork the repo
- Make changes on a feature branch
- Ideally, add tests for any changes (this will mean your changes don't get broken in the future too).
- Submit a PR

I use [Taskfile](https://taskfile.dev/) (similar to `makefile`) to make common tasks easier. If you have that installed, you can run:

- `task install` -- Install dev dependencies and pre-commit.
- `task run` -- Run the demo locally
- `task run-docs` -- Run the docs locally
- `task test` -- Run tests
- `task bump-patch/minor/major` -- Bump the version (`patch` for a bug fix, `minor` for an added feature).


## TODO:

- How should the `condition` and `fallback` props be defined on `Protect`? They are supposed to be `Javascript` and `JSX` respectively, but are just `str` for now... Is `Javascript` `rx.Script`? And `JSX` `rx.Component`?
elrahapi 1.2.1.7.1
Biliothèque personnalisée pour accéler le devéloppement d'API basé sur FastAPI.
Requires Python: >=3.14

# I - **`Présentation`**

![Logo](Elrah.png)

# **1.** `Description`

Passioné par la programmation et le développement avec python je me lance dans la création progressive d'une bibliothèque personnalisée basé sur pour `FASTAPI` m'ameliorer , devenir plus productif et partager mon expertise .

# **2.** `Objectifs`

ElrahAPI permet notament dans le cadre d'un développement avec FASTAPI de :

- Démarrer rapidement un projet en fournissant une architecture de dossier ;

- Minimiser les configurations de base de données et de gestion des sessions pour un projet ;

- Fournir et gérer un système d'authentification simple et configurable ;

- Générer les principaux cruds d'un model ;

- Fournir Configurer facilement les routes avec des configurations personnalisées ;

- Pemettre d'utiliser les sessions asynchrones ;

- Fourni des classes pour gérer les seeders ;

- Permet d'effectuer un enregistrement des logs dans la base de donnée grâce à un middleware de log ;

- Fournir un middleware de gestion d'erreur ;

- Une gestion simple et efficace de l'autorisation par l'utilisation de rôles et privileges ;

- Fournir une pile d'utilitaires ;

- L'utilisation de gestionnaire de websocket .

# II - **`Installation`**

**Il serait judicieux de créer un environnement virtuel dans un repertoire avant de poursuivre l'installation**

- **Créer un environnement virtuel :**

```bash
    python -m venv env
```

ou si virtualenv est dejà installé au préalable

```bash
    virtualenv env
```

- **`Avec Github :`**

  ```bash
  git clone https://github.com/Harlequelrah/Library-ElrahAPI

  cd Library-ElrahAPI

  pip install -e ./elrahapi
  ```

- **`Avec pip :`**

  ```bash
  pip install elrahapi
  ```

# III - **`Contact ou Support`**

Pour des questions ou du support, contactez-moi à **`maximeatsoudegbovi@gmail.com`** ou au **`(+228) 91 36 10 29`**.

La version actuelle est le `1.2.1.6`

Vérifier la version en executant `pip show elrahapi`

Pour un exemple concret , vous pouvez consulter la branche du repository de test pour cette version ou la plus récente si les améliorations son minimes: `https://github.com/Harlequelrah/elrahapi-testproject`

`La documentation` et `le guide d'utilisation` se trouvent dans le repertoire docs :

```
docs/
├── documentation.md
├── guide.md
```

Les liens ci-dessous permettent d'accéder à une documentation web :

- `https://harlequelrah.github.io/Library-ElrahAPI/docs/documentation`

- `https://harlequelrah.github.io/Library-ElrahAPI/docs/guide`
gym-quadruped 1.1.2
A gym environment for quadruped robots using MuJoCo physics engine.
Keywords: deep, environment, gym, gymnasium, learning, locomotion, mujoco, quadruped, reinforcement, robotics

# Mujoco Gym Environment for quadupedal legged locomotion

[![PyPI version](https://img.shields.io/pypi/v/gym-quadruped.svg)](https://pypi.org/project/gym-quadruped/) [![Python Version](https://img.shields.io/badge/python-3.10%20--%203.12-blue)](https://github.com/Danfoa/MorphoSymm/actions/workflows/tests.yaml)

# Install Instructions

```bash
  pip install gym-quadruped
  # or install locally
  cd <gym-quadruped root dir> 
  pip install -e . 
```

# Usage Instructions

```python
from gym_quadruped.quadruped_env import QuadrupedEnv

robot_name = "mini_cheetah"   # "aliengo", "mini_cheetah", "go2", "hyqreal", ...
scene_name = "flat"  # perlin | random_boxes
state_observables_names = tuple(QuadrupedEnv.ALL_OBS)  # return all available state observables

env = QuadrupedEnv(robot='mini_cheetah',
                   scene=scene_name,
                   base_vel_command_type="human",  # "forward", "random", "forward+rotate", "human"
                   state_obs_names=state_observables_names,  # Desired quantities in the 'state'
                   )
obs = env.reset()

env.render()
for _ in range(10000):
    action = env.action_space.sample() * 50  # Sample random action
    state, reward, is_terminated, is_truncated, info = env.step(action=action)

    if is_terminated:
        pass
        # Do some stuff
    env.render()
env.close()
```

See also `examples` directory.