semvec/pypi-packages huggingface dataset:
BCMAccount 1.0.1
集成编程猫的有关用户的API，便捷获取用户信息
Keywords: python, 编程猫, codemao, api


# BCMAccount

## 说明

集成[编程猫](https://shequ.codemao.cn)的有关用户的API，便捷获取用户信息

## 更新日志

`1.0.0`基础功能

`1.0.1`紧急删除了1.0.0中泄露的cookie

## 教程

见程序内文档字符串
sockaddr 0.1.3
Prepopulated sockaddr helpers for Python using ctypes
Keywords: sockaddr, saddr, auditd


# sockaddr

Sockaddr helpers for Python.

For example, auditd logs log the socket address in hex form. This should help in decoding them: 

```python3
s_in = sockaddr.from_hex("02000035898A1005000000000000000030BED20858D83A0010000000")
print(type(s_in))
# <class 'sockaddr.addr.sockaddr_in'>

# Using some helper functions for IPv4/6
print(sockaddr.inet_addr(s_in))
# '137.138.16.5'
print(sockaddr.inet_port(s_in))
# 13568
```


# Or unix sockets

```python3
s_un = sockaddr.from_hex("01002F7661722F72756E2F646F636B65722E736F636B00")
print(s_un.sun_path.decode("utf-8"))
# /var/run/docker.sock
```
pyvesc-fix 1.0.2
This is a repackagin of a fork from the pyvesc library.
Keywords: vesc, VESC, communication, protocol, packet

This is a repackaging of the (broken) package pyvesc
This package can be found here: https://pypi.org/project/pyvesc/

# PyVESC [![Build Status](https://travis-ci.org/LiamBindle/PyVESC.svg?branch=master)](https://travis-ci.org/LiamBindle/PyVESC) [![Documentation Status](https://readthedocs.org/projects/pyvesc/badge/?version=latest)](http://pyvesc.readthedocs.io/en/latest/?badge=latest)

PyVESC is aimed at being a easy to use and robust python implementation of the
communication protocol used by the
[VESC - Open Source ESC](http://vedder.se/2015/01/vesc-open-source-esc/) by
Benjamin Vedder. Its a great project with a really great community and I'd urge
anyone interested in motor controllers to take a look at it.

That being said, if you're here you probably already know about it. This small
project was written by Liam Bindle for the
[University of Saskatchewan Space Design Team](https://usst.ca)
as our primary language for non-embedded system is Python. You might wonder why
you might need a library to handling packing and parsing VESC messages since
Pythons standard
[struct](https://docs.python.org/3.5/library/struct.html)
module is great for almost exaclty this. PyVESC's usefulness comes from the fact
that PyVESC is:

- Well tested
- Robust in handling corrupt packets in a buffer
- Messages are easily extensible so that PyVESC can be used as a generic
  message/codec protocol (ie. at the USST we use PyVESC for sending messages to
  all of our embedded systems)
- Implements a number of common-error catching exceptions to speed up your
  development

## Documentation

For the latest version of PyVESC's documentation [Read The Docs](http://pyvesc.readthedocs.io/en/latest/)

## Contributing

Obviously this is just a quick and dirty project; however, if you have any ideas,
critiques or changes just let me know or submit a pull request.

## License

Just like VESC, PyVESC is distributed under a
[Creative Commons ShareALike 4.0 International License](https://creativecommons.org/licenses/by-sa/4.0/).
SRPAstro 4.9.0
Astronomical Data Analysis Tools
Requires Python: >=3
Keywords: astronomy data analysis

# Swift Reduction Package

Background
The Swift Reduction Package (hereafter SRP) is a packet of command line tools to solve problems (e.g. basic reduction and analysis tasks of optical/NIR astronomical data, quick cosmological computations, units conversions, etc.) often met in astronomical research activities.

SRP was originally developed in the context of the Swift follow-up activities of the Milan GRB team at the INAF/Brera Astronomical Observatory. The package is designed to be an aid to any researcher to drive further observation of a followed-up GRB counterpart and “swift” can therefore be read simply as “rapid”, “agile”, etc.
 
 Some technical comment
 This package, written in Python (v. 3.x), has been widely tested only on PC-Linux and on Mac OS X workstations.
clinica-pydra-petpvc 0.1.0
Pydra tasks for PETPVC designed for Clinica
Requires Python: >=3.8
Keywords: pet, petpvc, pvc, pydra

# pydra-petpvc

[![PyPI - Version][pypi-version]][pypi-project]
[![PyPI - Python Version][pypi-pyversions]][pypi-project]
![][status-test]

----

Pydra tasks for PETPVC designed for Clinica.

[Pydra][pydra] is a dataflow engine which provides
a set of lightweight abstractions for DAG
construction, manipulation, and distributed execution.

[PETPVC][petpvc] is a toolbox for partial volume correction (PVC)
in positron emission tomography (PET).

## Installation

```console
pip install clinica-pydra-petpvc
```

A separate installation of PETPVC is required to use this package.
Please review the project's [homepage][petpvc] for installation instructions and licensing information.

An official conda package is available through [conda-forge][petpvc-conda]:

```console
conda install -c conda-forge petpvc
```

## Development

This project is managed with [Hatch][hatch]:

```console
pipx install hatch
```

To run the test suite:

```console
hatch run test
```

To fix linting issues:

```console
hatch fmt
```

## Licensing

This project is distributed under the terms of the [Apache License, Version 2.0][license].

[hatch]: https://hatch.pypa.io/

[license]: https://spdx.org/licenses/Apache-2.0.html

[petpvc]: https://github.com/UCL/PETPVC

[petpvc-conda]: https://anaconda.org/conda-forge/petpvc

[pydra]: https://pydra.readthedocs.io/

[pypi-project]: https://pypi.org/project/clinica-pydra-petpvc

[pypi-pyversions]: https://img.shields.io/pypi/pyversions/clinica-pydra-petpvc.svg

[pypi-version]: https://img.shields.io/pypi/v/clinica-pydra-petpvc.svg

[status-test]: https://github.com/aramis-lab/clinica-pydra-petpvc/actions/workflows/test.yaml/badge.svg