semvec/pypi-packages huggingface dataset:
aioserialctrl 0.1.3
A module of asyncio serail port control.
License: MIT
Requires Python: >=3.7
Keywords: serial serialctrl aioserialctrl

***************************
Asyncio serial port control
***************************

Overview
########

This module provides async and sync serial port control, but now only supports Windows.

It's base on c library `serial.c <https://github.com/eplut/aioserialctrl/blob/main/aioserialctrl/seriallib.c>`_.

Examples
########

Examples directory `example <https://github.com/eplut/aioserialctrl/tree/main/example>`_.

Reference
#########

`pyserial <https://github.com/pyserial/pyserial>`_

`aioserial <https://github.com/changyuheng/aioserial>`_
pybites-pysource 1.1.0
Read Python source code from the command line
License: MIT

# PyBites Pysource

A command line tool to read Python source code.

## Installation

You can install `pybites-pysource` from [PyPI](https://pypi.org/project/pybites-pysource/):

    pip install pybites-pysource

This tool uses Python 3.x

## Usage

You can use `pybites-pysource`:

1. From the command line

		$ pysource -m re.match
		def match(pattern, string, flags=0):
			"""Try to apply the pattern at the start of the string, returning
			a Match object, or None if no match was found."""
			return _compile(pattern, flags).match(string)

	To show the resulting code with paging call `pysource` with `-p`.

2. From within Vim by selecting a `module.callable` adding this to your `.vimrc`:

		autocmd FileType python map <leader>py :exec '!python3.9 $HOME/bin/pysource.py -m <C-R><C-A> -p'<CR>

Check out [our blog post](https://pybit.es/get-python-source.html) for a demo.

## Tests

To run the tests:

	$ python setup.py test

See: [Integrating with setuptools / python setup.py test / pytest-runner](https://docs.pytest.org/en/3.0.2/goodpractices.html#integrating-with-setuptools-python-setup-py-test-pytest-runner).

---

Enjoy!
cloudViewer 0.3.7
cloudViewer is an open-source library that supports rapid development of software that deals with 3D data.
License: MIT
Keywords: 3D reconstruction point cloud mesh RGB-D visualization

.. _introduction:

About This Project
#######################

CloudViewer is an open-source library that supports rapid development of software
that deals with 3D data. The CloudViewer frontend exposes a set of carefully selected
data structures and algorithms in both C++ and Python. The backend is highly
optimized and is set up for parallelization. We welcome contributions from the
open-source community.

If you use CloudViewer in an academic project, please cite our paper:
::

    @article{Zhou2018,
        author    = {Asher},
        title     = {{CloudViewer}: {A} Modern Library for {3D} Data Processing},
        journal   = {arXiv:?},
        year      = {2020},
    }

Core features
======================

* 3D data structures
* 3D data processing algorithms
* Scene reconstruction
* Surface alignment
* 3D visualization
* Physically based rendering (PBR)
* 3D machine learning support with PyTorch and TensorFlow
* GPU acceleration for core 3D operations
* Available in C++ and Python

Supported platforms
======================

The package has been tested on:

* Ubuntu 18.04 and 20.04
* Windows 10 64-bit
* macOS High Sierra and above

With Python versions:
* 3.5
* 3.6
* 3.7
* 3.8

Resources
======================

* Website: `www.erow.cn <http://www.erow.cn>`_
* Code: `www.erow.cn <http://www.erow.cn>`_
* Document: `www.erow.cn/docs <http://www.erow.cn/docs>`_
* License: `The MIT license <https://opensource.org/licenses/MIT>`_