semvec/pypi-packages huggingface dataset:
xontrib-zoxide 1.1.0
Zoxide integration for xonsh
License: MIT
Requires Python: >=3.7
Keywords: xontrib, xonsh

<p align="center">
Zoxide integration for xonsh
</p>

<p align="center">  
If you like the idea click ⭐ on the repo and stay tuned.
</p>


## Requirements

You need [zoxide](https://github.com/ajeetdsouza/zoxide) installed on your system. See [install instructions](https://github.com/ajeetdsouza/zoxide#step-1-installing-zoxide) to get it.

## Installation

To install use pip:

```bash
xpip install xontrib-zoxide
# or: xpip install -U git+https://github.com/dyuri/xontrib-zoxide
```

## Usage

```bash
xontrib load zoxide
z folder
```

See [zoxide](https://github.com/ajeetdsouza/zoxide) for detailed usage.

## Credits

This package was created with [xontrib cookiecutter template](https://github.com/xonsh/xontrib-cookiecutter).
symbolica-community 0.1.0
Community-enhanced version of Symbolica: a blazing fast computer algebra system
License: MIT
Requires Python: >=3.7
Keywords: math, algebra, polynomial, expression, manipulation

<h1 align="center">
  <br>
  <picture>
  <source media="(prefers-color-scheme: dark)" srcset="https://symbolica.io/logo_dark.svg">
  <source media="(prefers-color-scheme: light)" srcset="https://symbolica.io/logo.svg">
  <img src="https://symbolica.io/logo.svg" alt="logo" width="200">
</picture>
  <br>
</h1>

<p align="center">
<a href="https://symbolica.io"><img alt="Symbolica website" src="https://img.shields.io/static/v1?label=symbolica&message=website&color=orange&style=flat-square"></a>
  <a href="https://reform.zulipchat.com"><img alt="Zulip Chat" src="https://img.shields.io/static/v1?label=zulip&message=discussions&color=blue&style=flat-square"></a>
    <a href="https://github.com/benruijl/symbolica_community"><img alt="Symbolica website" src="https://img.shields.io/static/v1?label=github&message=development&color=green&style=flat-square&logo=github"></a>
</p>

# Community-enhanced Symbolica 

This repository contains a community-enhanced [Symbolica](https://github.com/benruijl/symbolica) library. It adds extra functionality to existing Symbolica types and defines new ones.

Currently, `symbolica-community` integrates with the following two packages:
- [spenso](https://github.com/alphal00p/spenso): perform tensor network computations (see [example](https://github.com/benruijl/symbolica-community/blob/main/python/symbolica_community/examples/physics/tensors.py)) 
- [vakint](https://github.com/alphal00p/vakint): compute massive vacuum bubbles (see [example](https://github.com/benruijl/symbolica-community/blob/main/python/symbolica_community/examples/physics/vakint.py))


## Usage

The community-enhanced version can easily be installed next to a regular Symbolica installation. Make sure to either use the community version or the regular version in your project, as they are incompatible.

## Python

This package can be installed for Python >3.5 using `pip`:

```sh
pip install symbolica
```

or can be manually built using `maturin`:

```bash
maturin build --release
```

### Rust

If you want to use Symbolica as a library in Rust, simply include it in the `Cargo.toml`:

```toml
[dependencies]
symbolica_community = { git = "https://github.com/benruijl/symbolica_community.git" }
```


## Contributing

Users can easily contribute Python or Rust code that extends Symbolica's functionality via Pull Requests. All code in this repository is MIT licensed.

Pure Python contributions should go in the `python/symbolica_community/[category]` folder, where the `category` is for example `physics`, `chemisty`, etc. All code must be fully typed.

Rust contributions go in `src/[category]/myfeature.rs` and potential Python bindings need to be registered in `src/[category].rs`

## Forward compatibility

All code accepted into the repository will continuously be upgraded to the latest stable version of Symbolica by Ruijl Research (potentially in combination with other contributors).
autocheck-json 0.1.0
Перевод чека json в чек txt
License: MIT

--input-file - входной файл с заказ, в котором категория, сумма и количество

--output-file - выходной файл, куда будет записан чек в формате txt

Пример команды: python -m autocheck --input-file data/order.json --output-file rrr.txt

С egg возникают проблемы с загрузкой на pypi(ERROR    HTTPError: 400 Bad Request from https://upload.pypi.org/legacy/
         Invalid value for filetype. Error: Use a known file type.
)
online-store-rv 0.1.0
Исполняемый пакет для управления пользователями и заказами в онлайн-магазине
License: MIT
Requires Python: >=3.8

The project is designed for convenient store management.
It offers two algorithms to manage orders, as well as keep a report on customers.

Package Assembly Steps:

Make sure everything is set up: You must have a pyproject.toml file in the root directory of the project, which contains all the necessary dependencies and build settings.

Install the build tool: If you don't have the build tool installed yet, install it using pip:

pip install build
Assemble the package: Run the command to build the package:

python -m build
This command will create two types of packages in the dist directory:

Source Distribution (sdist) is an archive with the source files of the project (for example .tar.gz ).
Wheel Distribution (wheel) is an assembled and ready—to-install package (.whl).
Check: In the dist directory you will see the files that have been created. Example of output files:

dist/
 my_package-0.1.0-py3-none-any.whl

 my_package-0.1.0.tar.gz