semvec/pypi-packages huggingface dataset:
stgpytools 1.2.2
Collection of stuff that's useful in general python programming
Requires Python: >=3.12

# stgpytools

Collection of stuff that's useful in general python programming

## How to install

Install `stgpytools` with the following command:

```sh
pip install stgpytools
```

Or if you want the latest git version, install it with this command:

```sh
pip install git+https://github.com/Setsugennoao/stgpytools.git
```
python3-cyberfusion-cluster-apicli 3.1
API client for Core API.

# python3-cyberfusion-cluster-apicli

API client for Core API.

# Install

## PyPI

Run the following command to install the package from PyPI:

    pip3 install python3-cyberfusion-cluster-apicli

## Debian

Run the following commands to build a Debian package:

    mk-build-deps -i -t 'apt -o Debug::pkgProblemResolver=yes --no-install-recommends -y'
    dpkg-buildpackage -us -uc

# Configure

## Config file options

* Section `clusterapi`, key `serverurl`
* Section `clusterapi`, keys `username` and `password` (optional)
* Section `clusterapi`, key `apikey` (optional)

## Class options

* `config_file_path`. Non-default config file path.
* `authenticate`. Endpoint is called without token when set.

# Usage

## Basic

```python
from cyberfusion.ClusterApiCli import ClusterApiRequest

endpoint = "/api/v1/certificates"

r = ClusterApiRequest()
```

## Request

First, set the request:

```python
r.GET(endpoint)
r.PATCH(endpoint)
r.PUT(endpoint)
r.POST(endpoint)
r.DELETE(endpoint)
```

Then execute the request:

```
print(r.execute())
```
image-processing-oliveira 0.0.1
NTT DATA bootcamp
Requires Python: >=3.8

# image_processing_oliveira

Description. 
The package package_name is used to:
	- 
	-

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install package_name

```bash
pip install package_name
```

## Usage

```python
from package_name.module1_name import file1_name
file1_name.my_function()
```

## Author
My_name

## License
[MIT](https://choosealicense.com/licenses/mit/)
online-store-cu-by-egor 0.1.1
Python-пакет для управления учётными записями и заказами в онлайн-магазине

Пакет "online-store".

Модули:

    OrderManager - команды:
        .create_order(order_id, order_data)
        .update_order(order_id, order_data)
        .find_order(order_id)   
        .cancel_order(order_id)

    UserManager - команды:
        .add_user(user_id, user_data)
        .remove_user(user_id)
        .update_user(user_id)
        .find_user(user_id)
the-fairly-project 0.5
Bias analysis toolkit for NLP and multimodal models
Requires Python: >=3.6
Keywords: fairness bias detection NLP transformers multimodal

# The Fair-ly Project

This is a Python package designed to make it easy to work with SOTA bias detection technology. 

You can find the official docs [here](https://ethical-spectacle-research.gitbook.io/the-fair-ly-project/toolkit/python-package).
flake8-ecocode 0.1.3
Ecocode plugin for Flask8
Requires Python: <4.0,>=3.10

# flake8-ecocode

## What it is

A port to Python of the Python-specific parts of [ecoCode](https://github.com/green-code-initiative/ecoCode).

Java Code has been converted to Python, using the `ast` module.

## What is ecoCode?

ecoCode is a collective project aiming to reduce environmental footprint of software at the code level. The goal of the project is to provide a list of static code analyzers to highlight code structures that may have a negative ecological impact: energy and resources over-consumption, "fatware", shortening terminals' lifespan, etc.

## Installation

```bash
pip install flake8-ecocode
```

or from source:

```bash
git clone https://github.com/abilian/flake8-ecocode.git
cd flake8-ecocode
pip install .
```

## Development

### Setup

```bash
git clone https://github.com/abilian/flake8-ecocode.git
cd flake8-ecocode
poetry install
```

### Run tests

```bash
make test
make lint
```

or against various Python versions:

```bash
nox
```

## Current status

Only 2 checkers have been converted so far out of 11 currently in [ecoCode-python](https://github.com/green-code-initiative/ecoCode-python).

## Contributing

Please contribute to flake8-ecocode by porting the remaining checkers from ecoCode, and adding more.

The documentation from ecoCode also needs to be ported.

You can also contribute by adding tests, documentation, or improving the code.

## TODO

- [ ] Convert the remaining checkers
- [ ] Add tests
- [ ] Add CI/CD
- [ ] Add documentation