semvec/pypi-packages huggingface dataset:
nucleAR-fwhm 0.0.1
Full Width at Half Maximum(F.W.H.M.)
Requires Python: >=3.0

# nuclear_fwhm
Full Width at Half Maximum(FWHM) value for required equipment.

The highest value of COUNTS: Y2
Its respective CHANNEL number: X2

The value of half maximum is at the half of heighest peak
The first value is the point to the left side of the peak

This is a point on the left side of the peak
The COUNT value closest to and lower than half of max, with channel number LESS than highest count channel number: Y1
Its respective channel number: X1

The channel number for count value closest and lowest to half of max, with channel number LESS than highest count channel number	

This is the point to the right side of the peak	
The COUNT value closest to and lower than half of max, with channel number GREATER than highest count channel number: Y3
Its respective channel number: X3
        
The channel number for count value closest and lowest to half of max, with channel number GREATER than highest count channel number

USING INSTRUCTIONS:      
1. in the required code "from nuc_fwhm import fwhm"
2. to use the function "fwhm(-six numbers as arguments)"
3. the six numbers are X1, X2, X3, Y1, Y2, Y3 i.e. fwhm(X1, X2, X3, Y1, Y2, Y3)
colmagi 0.1.0
A package to run ssh commands
Requires Python: >=3.6

# Startup server: vault server -dev
'''sh
vault server -dev
'''
# set environment: 
'''sh
set VAULT_ADDR=http://127.0.0.1:8200
'''
# login with token: Root Token: s.UyYcKkBx9Q3kONk050jTU5PH
'''sh
vault login
'''
# Enable path kv-v1:
'''sh
vault secrets enable -path="kv-v1" kv
'''
# Create secret key pairing
'''sh 
vault kv put kv-v1/<PATH> <KEY>=VALUE>
'''
# Read secret
'''sh
vault kv get kv-v1/ssh
'''
wati-api 0.2.2
WATI API Client Library
Requires Python: >=3.6

# WATI API client library

[![license](https://img.shields.io/badge/license-Apache%20v2.0-blue.svg)](LICENSE) [![PyPI version](https://badge.fury.io/py/wati_api.svg)](https://badge.fury.io/py/wati_api)

## Installation

Install the client:

```bash
# Clone the source code
git clone https://github.com/ClareAI/wati_python
pip install -e .
```

This package can be found on [PyPI](https://pypi.python.org/pypi/wati_api).

```bash
pip install wati_api
```

## Examples

The example can be found [here](./examples/).

- Create a copy of the environment variables example. Then adjust it:

```bash
cp .env.example .env
```

- Source the .env file:

```bash
source .env
```

- Run the example:

```bash
python examples/main.py
```
spell-it-for-me 0.2.1
A simple command line tool to display a spelling for any phrase using a phonetic alphabet.

# Spell It For Me
A simple command line tool to display a spelling for any phrase using a phonetic alphabet.

Can use NATO (`-a nato`, active by default) or law enforcement (`-a police`) phonetic alphabets.

More alphabets might be supported in the future.

## Installation

Run the following to install:

```bash
$ pip install spell-it-for-me
```

## Usage

By default `spell` will print every letter spelled on a separate line using the NATO phonetic alphabet:  
```bash
$ spell Louis 
Líma
Óscar
Úniform
Índia
Siérra
```

Spelling phrases of several words is supported:
```bash
$ spell Worcester, MA
Whísky
Óscar
Rómeo
Chárlie
Écho
Siérra
Tángo
Écho
Rómeo
,
 
Mike
Álfa
```

Law enforcement alphabet is available (use `-a police` or `--alphabet police`):
```bash
$ spell -a police Louis
Lincoln
Oscar
Union
Ida
Sam
```

Use `-v` (or `--verbose`) to print each letter used for spelling:
```bash
spell.py -v Louis
L: Líma
o: Óscar
u: Úniform
i: Índia
s: Siérra
```
universalCRC 0.1
A universal CRC (8, 16, 32 or 64) computation tool
Requires Python: >=3.6,<4

# Universal CRC

The goal of this project is to provide a simple and universal CRC computation tool, allowing the user to freely choose any of the parameters.

## Installation

Install universalCRC

    $ pip install universal-crc

## Usage

To use custom parameters :

	import universalCRC
	CRC = universalCRC.compute_CRC("111213141516171819",0x07,0x00,0x00,8,False,False)

To use predefined parameters :

	import universalCRC
	CRC = universalCRC.compute_CRC("111213141516171819",preset = "DARC")
discoruns 0.1.0
Python library for windows persistence mechanism extraction

<img align="right" width="100" src="docs/disco.png">

*Like autoruns for discs.*

# discoruns 
<a href="https://github.com/korbster/discoruns-dev/actions"><img src="https://github.com/korbster/discoruns-dev/workflows/CI/badge.svg" alt="build" /></a>
<a href="https://pypi.org/project/discoruns/"><img alt="PyPI" src="https://img.shields.io/pypi/v/discoruns?color=blue"></a>

Repository for a persistence mechanisms extraction tool that is developed alongside my bachelor thesis researches.

### Installation

Discoruns requires [docker](https://docs.docker.com/get-docker/) to be installed.

The Python installation can be easily done via pip:

```bash
pip install discoruns
```

### Usage

```bash
discoruns image myimage.vmdk
```