semvec/pypi-packages huggingface dataset:
ipconflict 0.5.1
Check for conflicts between network subnets

# ipconflict

[![Downloads](https://pepy.tech/badge/ipconflict)](https://pepy.tech/project/ipconflict)
[![ipconflict](https://img.shields.io/badge/ipconflict-0.5.0-green.svg)](https://pypi.org/project/ipconflict/)
[![Python version](https://img.shields.io/badge/python-2.6%20%7C%202.7%20%7C%203.4%20%7C%203.5%20%7C%203.6%20%7C%203.7-blue.svg)](https://www.python.org/downloads/release/python-370/)

Check if two or more network subnets are overlapping.

## Install

`pip install ipconflict`

## Quick Start

* `ipconflict 10.0.0.0/22 10.0.1.0/24`
* `ipconflict 10.0.0.0/22 10.0.1.1-10.0.1.5`
* `ipconflict 172.16.0.0/22 172.16.1.0/24 172.16.3.0/27`

#### Print overlapping IP addresses

* `ipconflict -p 10.0.0.0/24 10.0.0.100-10.0.0.105`

#### Subnets from file

* `ipconflict -f /path/to/subnets`

#### Subnets from stdin

* `echo "10.0.1.0/24 10.0.0.0/22" | ipconflict -i`

#### Subnets from everywhere

* `echo "10.0.0.0/16" | ipconflict -i -f /path/to/subnets 192.168.0.0/24 172.25.1.17`

## Subnet Definition

A subnet can be specified in several ways:

* CIDR notation `192.168.0.0/24`
* Single IP address `10.0.1.2`
* IP range `10.0.0.5-10.0.0.20`

This tool works both with IPv4 and IPv6.

## Exit Status

* `0`, one or more conflicts found
* `1`, no conflict found
* `2`, aborted or invalid input
superviolin 1.0.6
Python CLI to make Violin SuperPlots
Requires Python: >=3.6.2

*When using this package to generate Violin SuperPlots for your publications, please cite the [commentary](https://www.molbiolcell.org/doi/10.1091/mbc.E21-03-0130) from the authors*

## Superviolin CLI commands

`demo`
This command creates a Violin SuperPlot using dummy data that ships with the package. Run superviolin demo from your command prompt after installation to be sure the package is working.

`init`
The superviolin init command generates an "args.txt" file in the current directory, which will be used to generate a Violin SuperPlot based on the Excel or csv file of your data located in the same folder using arguments specified in this text file.

`plot`
The superviolin plot command renders the Violin SuperPlot as a figure. This layout can be edited prior to saving.

If any of these commands results in an error, **please email Martin Kenny** with a copy of:

1. The data that caused the error

2. The accompanying args.txt file

3. A txt file containing the console output

## Superviolin with scripts
You can also import the package into your own Python scripts. Simply import the`Superplot` class by running`from superviolin import Superplot`, and you can begin to automate generation of Violin SuperPlots or extend the `Superplot` class with your own customizations.
seelabletv2 1.0.0
Python package for seelablet
Requires Python: >=3
Keywords: seelablet v2 data-acquisition lab-at-home oscilloscope waveform-generator sensors physics

# ExpEYES17 PIP Package

entry points : eyes17

maintainer : Jithin B P jithinbp@gmail.com


# Translations
 - translation to French by Georges Khaznadar, <georges.khaznadar at free.fr>,
   Copyright (c) 2019
 - translation to Malayalam by Amal M, <amalmphysics at gmail.com>,
   Copyright (c) 2020