semvec/pypi-packages huggingface dataset:
testumbrella 1.1.0
Test umbrella project

# TestUmbrella v1.1.0

**Project**: TestUmbrella
<br>**Version**: 1.1.0
<br>**OS**: OS Independent
<br>**Author**: Irakli Gzirishvili
<br>**Mail**: gziraklirex@gmail.com

**TestUmbrella** is a Python command-line interface application. Test umbrella project

## Installation

To use **TestUmbrella**, follow these steps:

- Open CMD and run the following command to install `pip install testumbrella` then restart your CMD
- To check if **TestUmbrella** is installed correctly, run the following command `testumbrella`

## Commands

These are the available commands you can use:

- `testumbrella` - To list available commands
- `testumbrella demo (param)` - Test demo method with param
testuthird 1.0.2
Test Project 3

# TestUthird v1.0.2

**Project**: TestUthird
<br>**Version**: 1.0.2
<br>**OS**: OS Independent
<br>**Author**: Irakli Gzirishvili
<br>**Mail**: gziraklirex@gmail.com

**TestUthird** is a Python command-line interface application. Test Project 3

## Installation

To use **TestUthird**, follow these steps:

- Open CMD and run the following command to install `pip install testuthird` then restart your CMD
- To check if **TestUthird** is installed correctly, run the following command `testuthird`

## Commands

These are the available commands you can use:

- `testuthird` - To list available commands
- `testuthird demo (param)` - Test demo method with param
testufirst 1.1.5
Test Project 1

# TestUfirst v1.1.5

**Project**: TestUfirst
<br>**Version**: 1.1.5
<br>**OS**: OS Independent
<br>**Author**: Irakli Gzirishvili
<br>**Mail**: gziraklirex@gmail.com

**TestUfirst** is a Python command-line interface application. Test Project 1

## Installation

To use **TestUfirst**, follow these steps:

- Open CMD and run the following command to install `pip install testufirst` then restart your CMD
- To check if **TestUfirst** is installed correctly, run the following command `testufirst`

## Commands

These are the available commands you can use:

- `testufirst` - To list available commands
- `testufirst demo (param)` - Test demo method with param
testusecond 1.0.4
Test Project 2

# TestUsecond v1.0.4

**Project**: TestUsecond
<br>**Version**: 1.0.4
<br>**OS**: OS Independent
<br>**Author**: Irakli Gzirishvili
<br>**Mail**: gziraklirex@gmail.com

**TestUsecond** is a Python command-line interface application. Test Project 2

## Installation

To use **TestUsecond**, follow these steps:

- Open CMD and run the following command to install `pip install testusecond` then restart your CMD
- To check if **TestUsecond** is installed correctly, run the following command `testusecond`

## Commands

These are the available commands you can use:

- `testusecond` - To list available commands
- `testusecond demo (param)` - Test demo method with param
pypscloud 0.0.58
Common wrappers and tools for the Powerside Cloud API
Requires Python: >=3.8

# pypscloud
Common wrappers and tools in Python for the Powerside Cloud API

Environments and credentials can be configure using file pypscloud_cfg.json
[
    {
        "env": "production",
        "user": "your account@company.com",
        "pw": "GreatNews123!",
        "base_url": "https://www.admin.cloud.powerside.com/v1/",
        "data_bucket_upload":"bucked-name",
        "aws_key":"if_you_have_one",
        "aws_secret":"dont_share_it"
    },
    {
        "env": "staging",
        "user": "your_account_in_staging@company.com",
        "pw": "thepassword33456!",
        "base_url": "https://staging.admin.cloud.powerside.com/v1/",
        "data_bucket_upload":"bucked-name",
        "aws_key":"if_you_have_one",
        "aws_secret":"dont_share_it"
    }
]
q2numfmt 0.1.1
Excel-style number formatting for Python.
Requires Python: <4.0,>=3.11

# q2numfmt

[![PyPI version](https://img.shields.io/pypi/v/q2numfmt.svg)](https://pypi.org/project/q2numfmt/)
[![License](https://img.shields.io/github/license/AndreiPuchko/q2numfmt.svg)](https://github.com/AndreiPuchko/q2numfmt/blob/main/LICENSE)
[![Python](https://img.shields.io/pypi/pyversions/q2numfmt.svg)](https://pypi.org/project/q2numfmt/)

**q2numfmt** is a lightweight Python package for formatting numeric data using Excel-style number format strings. It follows the [ECMA-376 - Office Open XML file formats - 5th edition, December 2021](https://ecma-international.org/publications-and-standards/standards/ecma-376/) specification—the same standard used by Microsoft Excel to format numbers.

## Features

- Format integer, float, string, or `Decimal` values.
- Supports custom Excel-like format strings (e.g. `"0.00"`, `"0%"`, `"$#,##0.00"`).
- Implements rules from ECMA-376 Part 1, Section 18.8.31 (`numFmts`).
- No external dependencies.
- Ideal for spreadsheet tools, reports, exports, and other data presentation needs.

## Installation

```bash
pip install q2numfmt
```

## Usage

```python
from q2numfmt import format_number

print(format_number(1234.567, "#,##0.00"))     # "1,234.57"
print(format_number("0.056", "0.0%"))          # "5.6%"
print(format_number(-1234.5, "$#,##0.00"))     # "-$1,234.50"
print(format_number(0, '[Green]0.00;[Red]-0.00'))  # "0.00"
```

## API

format_number(value, format_string)

Formats a number using an Excel-style number format string.

    value: int, float, str, or decimal.Decimal

    format_string: A string format as defined in Excel / ECMA-376

Returns a str with the formatted result.


## Example Format Strings

| Format String | Input | Output |
| ---: | ----------: | ---------: |
|0.00	|12.3	|12.30
|#,##0	|12345	|12,345
|0.0%	|0.1234	|12.3%
| $#,##0.00	|-1234.5| -$1,234.50
| 1234.59 | ####.# | 1234.6
|[Red]-0.0	|-5.5|	-5.5


## Specification

The package is based on:

    ECMA-376-1:2016, Part 1 – Office Open XML File Formats

    Section 18.8.31: numFmts (Custom Number Formats in Excel)

## License

This project is licensed under the MIT License – see the [LICENSE](https://github.com/AndreiPuchko/q2numfmt/blob/main/LICENSE) file for details.

## Links

PyPI: https://pypi.org/project/q2numfmt

GitHub: https://github.com/AndreiPuchko/q2numfmt

## Author

Andrei Puchko
GitHub: https://github.com/AndreiPuchko

## Contributing

Contributions, issues, and feature requests are welcome! Feel free to check the issues page or submit a pull request.
llm-fragments-github 0.4
Load GitHub repository contents as LLM fragments
Requires Python: >=3.9

# llm-fragments-github

[![PyPI](https://img.shields.io/pypi/v/llm-fragments-github.svg)](https://pypi.org/project/llm-fragments-github/)
[![Changelog](https://img.shields.io/github/v/release/simonw/llm-fragments-github?include_prereleases&label=changelog)](https://github.com/simonw/llm-fragments-github/releases)
[![Tests](https://github.com/simonw/llm-fragments-github/actions/workflows/test.yml/badge.svg)](https://github.com/simonw/llm-fragments-github/actions/workflows/test.yml)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/llm-fragments-github/blob/main/LICENSE)

Load GitHub repository contents as fragments

## Installation

Install this plugin in the same environment as [LLM](https://llm.datasette.io/).
```bash
llm install llm-fragments-github
```
## Usage

Use `-f github:user/repo` to include every text file from the specified GitHub repo as a fragment. For example:
```bash
llm -f github:simonw/files-to-prompt 'suggest new features for this tool'
```
Ue `-f issue:user/repo/number` to include the combined Markdown text of a specific issue. For example:
```bash
llm -f https://raw.githubusercontent.com/simonw/llm-fragments-github/refs/tags/0.1/llm_fragments_github.py \
  -f issue:simonw/llm-fragments-github/3 \
  'Propose an implementation for this issue'
```
The `issue:` prefix can also accept a URL to a GitHub issue, for example:
```bash
llm -f issue:https://github.com/simonw/llm-fragments-github/issues/3 \
  'muse on this a bit'
```
Set an API token in the environment variable `GITHUB_TOKEN` to access private repositories or increase your rate limit.

Use` -f pr:user/repo/number` to load the Markdown text and diff for a specified pull request. This also accepts a URL to a pull request.

```bash
llm -f pr:simonw/llm-fragments-github/9 'code review'
```
Both `issue:` and `pr:` will attempt to expand any URLs to code blocks to include that code as part of the exported Markdown. [#12](https://github.com/simonw/llm-fragments-github/issues/12)

## Development

To set up this plugin locally, first checkout the code. Then create a new virtual environment:
```bash
cd llm-fragments-github
python -m venv venv
source venv/bin/activate
```
Now install the dependencies and test dependencies:
```bash
llm install -e '.[test]'
```
To run the tests:
```bash
python -m pytest
```
aiida-flux-scheduler 0.1.0
aiida_flux_scheduler
Requires Python: >=3.9
Keywords: aiida, workflows, flux, scheduler

# AiiDA Flux Scheduler

AiiDA plugin for the LLNL developed Flux scheduler.

A basic understanding of how to interact with AiiDA is required.

At this moment, the plugin works at the same level as the slurm scheduler plugin. AiiDA will use the plugin to submit individual jobs to the flux scheduler and retrieve the jobs when they are done. In the future, the hope is to keep the initial allocation open and have AiiDA interact with the instance through the `flux proxy` command to submit additional jobs in the workchain and reduce wait time between steps in the workflow.

# Basic installation

To get the latest developments and features it is recommended to check the 
git repository and install from source.

```bash
git clone https://github.com/LLNL/aiida-flux-scheduler.git
cd aiida-flux-scheduler
pip install -e .
```

# Release information

`LLNL-CODE-2005941`

AiiDA-Flux-Scheduler is provided under a standard MIT license.
moviessdk 0.0.2
SDK Python pour accéder à l’API MovieLens (Data Analysts / Data Scientists friendly)
Requires Python: >=3.12

# MovieLens SDK - `moviessdk`

Un SDK Python simple pour interagir avec l’API REST MovieLens. Il est conçu pour les **Data Analysts** et **Data Scientists**, avec une prise en charge native de **Pydantic**, **dictionnaires** et **DataFrames Pandas**.

[![PyPI version](https://badge.fury.io/py/moviesdk.svg)](https://badge.fury.io/py/moviesdk)
[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT)

---

## Installation

```bash
pip install moviessdk
```

---

## Configuration

```python
from moviessdk import MovieClient, MovieConfig

# Configuration avec l’URL de votre API (Render ou locale)
config = MovieConfig(movie_base_url="https://movielens-api-6zzm.onrender.com")
client = MovieClient(config=config)
```

---

## Tester le SDK

### 1. Health check

```python
client.health_check()
# Retourne : {"status": "ok"}
```

### 2. Récupérer un film

```python
movie = client.get_movie(1)
print(movie.title)
```

### 3. Liste de films au format DataFrame

```python
df = client.list_movies(limit=5, output_format="pandas")
print(df.head())
```

---

## Modes de sortie disponibles

Toutes les méthodes de liste (`list_movies`, `list_ratings`, etc.) peuvent retourner :

- des objets **Pydantic** (défaut)
- des **dictionnaires**
- des **DataFrames Pandas**

Exemple :

```python
client.list_movies(limit=10, output_format="dict")
client.list_ratings(limit=10, output_format="pandas")
```

---

## Tester en local

Vous pouvez aussi utiliser une API locale :

```python
config = MovieConfig(movie_base_url="http://localhost:8000")
client = MovieClient(config=config)
```

---

## Public cible

- Data Analysts
- Data Scientists
- Étudiants et curieux en Data
- Développeurs Python

---

## Licence

MIT License

---

## Liens utiles

- API Render : [https://movielens-api-6zzm.onrender.com](https://movielens-api-6zzm.onrender.com)
- PyPI : [https://pypi.org/project/moviessdk](https://pypi.org/project/moviessdk)
docship 0.0.1
A tool to deploy fosscu services
Requires Python: >=3.9
Keywords: docship, fosscu, commandline

<p align="center">
    <img src="./artwork/dockership-logo.png" width="10%" />
    <h1 align="center">docship ⛴️</h1>
    <h3 align="center">A tool to deploy stuff running on docker</h3>
</p>

## Installation

Install docship with pip

```bash
  pip3 install docship

  docship --version
```

Install from source

```bash
  git clone https://github.com/foSS-Community/docship

  cd docship

  python3 -m pip3 install .

  docship --version
```

## Usage

```
docship --help
usage: docship [-h] [--version] {deploy} ...

Dockership CLI for managing deployments.

options:
  -h, --help     show this help message and exit
  --version, -v  to get the current version of docship

Commands:
  {deploy}       Available commands
    deploy       Deploy an application to a server
```

### To deploy a site running in docker or any port
```
usage: docship deploy [-h] --name NAME --address ADDRESS

options:
  -h, --help            show this help message and exit
  --name, -n NAME       The name of the server where the application will be deployed, ex.
                        api.example.com
  --address, -a ADDRESS
                        The address of the application server, ex. http://localhost:8000
```

```
docship deploy -n xyz.fosscu.org -a http://localhost:8082
```

## Contributing

Contributions are always welcome!

See `contributing.md` for ways to get started.

Please adhere to this project's `code of conduct`.

## Authors

- [@Mr-Sunglasses](https://www.github.com/Mr-Sunglasses)

## License

[MIT](https://choosealicense.com/licenses/mit/)

## 💪 Thanks to all Wonderful Contributors

Thanks a lot for spending your time helping AutoType grow.
Thanks a lot! Keep rocking 🍻

## 🙏 Support++

This project needs your shiny star ⭐.
Don't forget to leave a star ⭐️

[![forthebadge made-with-python](http://ForTheBadge.com/images/badges/made-with-python.svg)](https://www.python.org/) [![forthebadge](https://forthebadge.com/images/badges/built-with-love.svg)](https://forthebadge.com)