semvec/pypi-packages huggingface dataset:
xcert 0.0.10
A tool to manage Xolphin certificates
Requires Python: >=3.6

##Getting started

This script communicates with the Xolphin API to manage certificates.\
The script is pretty basic and doesnt contain much error handling.
also the output is plain json sometimes. But it gets the job done.

### Installation

Run (preferably in a venv environment):
```commandline
python3 -m pip install xcert
```

### Usage
```
usage: xcert [-h] [--create-pem filename] [--kube-secret filename] [--list-requests]
             [--retry-validation domain_name] [--download-certificate domain_name]
             [--list-certificates] [--request-status domain_name]
             [--request-certificate domain_name] [--renew-certificate domain_name]

optional arguments:
  -h, --help            show this help message and exit
  --create-pem filename
                        Creates a .pem file with the certificate(.crt), the intermediates(.ca) and the key(.key). And a .cer file with the Certificate and the intermediates. Requires the following files: FILENAME.crt ,FILENAME.ca and FILENAME.key
  --kube-secret filename
                        Prints a kubernetes secret in yaml format generated from a cert/key. Requires a FILENAME.cer and a FILENAME.key
  --list-requests       Lists all pending requests at Xolphin
  --retry-validation domain_name
                        Triggers a validation of the certificate request with DOMAIN_NAME
  --download-certificate domain_name
                        Downloads the certificate for DOMAIN_NAME and saves it as DOMAIN_NAME.cer. Also downloads the corresponding intermediate certificates as DOMAIN_NAME.ca
  --list-certificates   Lists all current certificates at Xolphin
  --request-status domain_name
                        Gets the status of the request with the DOMAIN_NAME. If DOMAIN_NAME is "all" then list the status of all requests
  --request-certificate domain_name
                        Request a new certificate from Xolphin, and saves the generated DOMAIN_NAME.csr and DOMAIN_NAME.key
  --renew-certificate domain_name
                        Renews an existing certificate from Xolphin, and saves the generated DOMAIN_NAME.csr and DOMAIN_NAME.key

additional information:
    This program needs 2 environment variables to be set with your Xolphin credentials:
        XOLPHIN_USER='foo@bar.nl'
        XOLPHIN_PASSWORD='secret_password'
    It will use these credentials to authenticate to the Xolphin API.
```

##TODO
Add build and publish instructions
SmallGoogleTranslator 1.2
Использование гугл-переводчика удобным вам образом.
Requires Python: >=3.6

<h1 align="center">Google-translator</h1>

#### pip install GoogleTranslator



**ASYNC**


```python
import asyncio
from google.translator import GoogleTranslator

translator = GoogleTranslator()

async def my_translator(text, src_lang: str):
    await translator.translate_async(text, src_lang)

print(asyncio.run(my_translator("test", "ru")))
```


**SYNC**

```python
from google.translator import GoogleTranslator

translator = GoogleTranslator()

def my_translator(text, src_lang: str):
    translator.translate_async(text, src_lang)

print(my_translator("test", "ru"))
```
email-extraction-123456 0.1.1
Find and tag Git commits based on version numbers in commit messages.
Requires Python: >=3.6
Keywords: git tag git-tagup tagup tag-up version autotag auto-tag commit message

## Python 3.8.10 Installation

> sudo apt update
> 
> sudo apt install python3-pip

## Talon Installation

> pip install talon

## Flask 2.0.3 Installation

> pip install flask==2.0.3.*

## Gunicorn 20.1.0 Installation

> pip install gunicorn==20.1.0.*

## Running Project in port 5000 (Through Command Prompt)

> cd ~/IdeaProjects/email_extraction_talon/src
> 
> gunicorn --bind 0.0.0.0:5000 wsgi:application

### kill port 5000, if needed
> sudo fuser -k 5000/tcp

## About Gunicorn

#### Default Port is 8000
#### For Help
> gunicorn --help
twdictquery 0.0.4
Dictonary query search
Keywords: dictonary,query,search,dict search


# twdistquery

Under construction! Not ready for use yet! Currently experimenting and planning!

Developed by Iyappan from Trackerwave (c) 2022

## Examples of How To Use (Buggy Alpha Version)

-help
-query
-count
-size
-find
-like
QHBayes 0.0.3
Bayesian methods for inferring mass eruption rate for column height (or vice versa) for volcanic eruptions
Requires Python: >=3.8

# QHBayes #

Bayesian methods for inferring mass eruption rate from column height (or vice versa) for volcanic eruptions

### What is it? ###

*QHBayes* uses Bayesian methods to explore the relationship between the mass eruption rate (Q) of a volcanic eruption and the height reached by the volcanic eruption column (H) that is produced.

The mass eruption rate is a quantity that is very important in volcanology and in the dispersion of volcanic ash in the atmosphere, but it is very difficult to measure directly.

Often the mass eruption rate is inferred from observations of the height of the volcanic eruption column, since the eruption column is often much easier to measure.  The eruption column height is linked to the mass eruption rate through the fluid dynamics of turbulent buoyant plumes, but there are often external volcanological and atmospheric effects that contribute and complicate the relationship.

Datasets of the mass eruption rate and eruption column height have been compiled and used to determine an empirical relationship these quantities, using linear regression.  This has then been used to infer the mass eruption rate from the plume height.

*QHBayes* goes further, by using Bayesian methods to perform the regression.  Bayesian methods:
* allow us to incorporate a range of *uncertainties* quantitatively into our model;
* provide a meaningful quantitative comparison of different models;
* 

* Version 0.0.2

### Main Features ###


### How do I get set up? ###

* Summary of set up


* Configuration
* Dependencies
* Database configuration
* How to run tests
* Deployment instructions

### Contribution guidelines ###

* Writing tests
* Code review
* Other guidelines

### Who do I talk to? ###

* Repo owner or admin
* Other community or team contact
opscidia-elasticsearch 1.0.3
Tools to manage elasticsearch indexes
Requires Python: >=3.7
Keywords: elasticsearch,ospcidia,index,create

# opscidia_elastisearch
Tools to manage elasticsearch indexes 

# Installation 

## From pip

```bash
pip install opscidia-elasticsearch
```

# Python usage

```python
from opscidia_elasticsearch import Manager

mg = Manager(hosts='url-to-es')      # Connect to ES

mg.create_index(index_name='')       # to create index
mg.save_to_index(generator=None)     # to save generator
```