semvec/pypi-packages huggingface dataset:
nputop 0.0.3
NPU monitoring tool with TUI interface

# nputop
An interactive ASCEND-NPU process viewer and beyond, the one-stop solution for NPU process management. 

![](https://github.com/Rvelamen/nputop/blob/main/docs/home.png?raw=true)

### Quick Start

Install nputop by using pip as follows. 

```bash
pip install nputop
```

To start a instance of nputop, run the following command:

```bash
$ nputop
```
pgnparse 0.4.0
A library for parsing PGN chess notations
Requires Python: >=3.12
Keywords: Chess, PGN, Parsing

# PgnParse

![supported python versions](https://img.shields.io/pypi/pyversions/pgnparse.svg)
[![current PyPI version](https://img.shields.io/pypi/v/pgnparse.svg)](https://pypi.org/project/pgnparse/)
[![CI](https://github.com/ItsDrike/pgnparse/actions/workflows/main.yml/badge.svg)](https://github.com/ItsDrike/pgnparse/actions/workflows/main.yml)

This is a simple library capable of parsing chess PGNs, following the standard
definition. It includes classes that form an Abstract Syntax Tree, fully
representing the parsed PGN with code. These classes also include `__str__`
implementations that allow seamless conversion back to regular (normalized) PGN
strings.

A unique feature of this library is the `flatten` function for a list of moves.
This function allows for the flattening of a list of moves, recursively
stripping away all of the variations in a chess game and returning full
standalone lists for each variation.

The parsing is handled using the
[`Lark`](https://lark-parser.readthedocs.io/en/stable/index.html) library,
which is therefore a dependecy of this library. Lark allows specifying a formal
EBNF-like grammar definition, which it then uses to tokenize the given input.
This token tree is then used to produce the AST.
cams-ilvo-utils 0.0.1
The camera ILVO utils
Requires Python: >=3.9

# Camera python utils

## Introduction

This python package is part of the cams-ilvo project and supports camera calibration and basic image manipulation.

## Getting started

1. Install the package

```bash
pip install numpy opencv-python
pip install cams-ilvo-utils
```

## Build (No CI/CD)


1. Install the dependencies

```bash
pip install build
pip install twine
```

2. Build and publish the package

```bash
python -m build
```

## Licence

This project is under the ``ILVO LICENCE``.

```
Copyright (c) 2024 Flanders Research Institute for Agriculture, Fisheries and Food (ILVO)

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

When the Software, including modifications and extensions, is used for:
- commercial or non-commercial machinery: the ILVO logo has to be clearly
   visible on the machine or on any promotion material which may be used in any
   agricultural fair or conference, in a way it is clear that ILVO contributed
   to the development of the software for the machine.
- a scientific or vulgarising publication: a reference to ILVO must be made as
   well as to the website of the living lab Agrifood Technology of ILVO:
   https://www.agrifoodtechnology.be

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
```