semvec/pypi-packages huggingface dataset:
vp 0.0.1
Markup Text Editor

Markup Text Editor
This package can be used to format the text in a way with the specified markups. The notations followed in the markup are below:
**within double asterisk** -- Bold 
//within two forward slashes// -- Italics 
__within two underscores__ -- Underlined 
$$within two dollars$$ -- Strike through 
* item 1
* item 2 -- Unordered list with two items 
\1. item 1
\2. item 2 -- Ordered list with two items 
[link](address) -- Link

What it does?
The package will convert these into corresponding HTML tags html tags.

Installation
Install the pacakge using pip (or) pip3. [For python3]

pip install markup-editor
It has the following functions.

import markup-editor as me
me.bold()
me.italics()
me.underline()
me.strike()
me.bullets()
me.number()
me.link()
Each will return the corresponding HTML tags.
linuxdialer 1.5.5
Applications for handling tel: uri and vCard files
Keywords: linuxdialer

linux-dialer
============

Click to Dial pop-up window for linux desktop.


Install linuxdialer using pip3 (Not available for python 2)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

::

   pip3 install linuxdialer

Install ``python3-pyqt5`` and ``Ekiga`` from distro package manager.

In debian based distro -

::

   sudo apt install python3-pyqt5 ekiga

When installing from pip make sure you have ``~/.local/bin`` in ``PATH``
environment variable.

Run Application from command line
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

::

   linuxdialer -t tel:+919988776655
   linuxdialer -v path/to/vcardfile

Test mime handler -
^^^^^^^^^^^^^^^^^^^

-  Create a ``test.html`` containing
   ``<a href="tel:+919988776655">Phone</a>``, open with firefox/chrome
   and click on Phone
-  Click on a tel number in evolution addressbook
-  Right click on a vCard file and open with Linux Dialer
qeGraphMaker 1.0.4
Create PDF Graphs from Google Sheets Data

# QETool_pip

## Questions:

  email: kpostlet@redhat.com

## TODO:

- [ ] Update example text file
- [ ] Finish README
- [ ] Installation with `scl enable rh-python34 bash`
- [ ] Add check to make sure user is running Python 3.X

### About

Along with the website `netqe-infra01.knqe.lab.eng.bos.redhat.com:8009` this tool was made to view network test data for the Red Hat Network QE team.  It uses matplotlib in order to create the graphs which are present in the output PDF.  Uses website API calls to access and write to the mongodb.

This tool will create two new commands:
* `fileMaker [-o (<output file name>]`
    * -o &nbsp; --output &nbsp; [default: out.txt]
* `graphGen -f <input file name>`

### Installation

This tool requires Python version 3.X

1. First install tkinter on your system
    ```
    $ sudo yum install install (python34-tkinter|python36-tkinter)
    ```

    or

    ```
    $ sudo apt-get install python3-tk
    ```
1. If you are using a virtualenv use the flag `--system-site-packages` so that system wide packages are available to the virtual environment.

1. Finally:
    ```
    $ (pip|pip3) install qeGraphMaker
    ```

### Input text file
The input text for the graph generator is a well structured file as defined in the [example file](/graphMaker/multiGraphFileExample).

### Input file generator
For a user friendly process when creating the input file use the `fileMaker` command.  This will walk you through the process of creating a file that can the be passed into `graphGen`. Use <TAB> to autocomplete options. When inputting cards and labels, at least one option is required; no input is required for flags.

### The graph generator
Once you have a text file that is of the correct form.  You can run `graphGen -f <file-name>`.  This will give you a PDF booklet as defined by the first line of the input file
freud 0.1.2
TUI REST client to analyze API endpoints
Keywords: cli tui http rest request api

![Freud terminal gif](https://f002.backblazeb2.com/file/x7udzfe/freud_demo.gif)

Freud is a TUI API endpoint analyzer utilizing Python Prompt Toolkit and
Requests.  It allows creating and saving request headers, authentication (basic
and digest), and body using both integrated forms and your native
editor.

Currently, it is designed and tested for receiving JSON, XML, and HTML
responses, but more can be added later as needed.

## Installation

> First, create an environment (_recommended_):

```shell
python -m venv .venv
. .venv/bin/activate
```

> Then you can either install through PyPI...

```shell
pip install freud
```

> or from sources

```
git clone https://github.com/stloma/freud
python setup.py install
```

## Keys

> Key shortcuts depend on which window you are in. There are 4 windows: server
> list (left window), response headers (top right), response body (middle
> right), and server summary (bottom).

* Server list/left window
    - New server: `n`
    - Select server: `enter`
    - Edit selected server: `e`
    - Edit authentication: `a`
    - Edit body: `b`
    - Send request for selected server: `r`
    - Delete selected server: `d`
    - Sort servers: `s`
    - Top/bottom of server list: `gg/G`

* Header window, Response body window, Server summary window
    - `h/j/k/l` Vi keybindings for movement
    - `/` Search text
    - `o`: Open response body in external editor

* General Navigation
    - Quit: `Ctrl+c`
    - Key Binding Quick Reference: `Ctrl+f`
    - Next window: `Tab`
    - Previous window: `Shift+Tab`


## Advanced uses

#### More keys
* Copy/Paste: `Shift+Click`

#### Changing default configuration

* Settings file: `config/freud.ini`

## Roadmap

Freud is still in development, but should work well for most use
cases.

Currently, it is designed to handle JSON, XML, and HTML responses; I
haven't tested others. If you would like it to handle something specific, you
can either submit a PR or create an issue and I'll add it!

#### Goals

* Add more authentication types (e.g., OAuth, Bearer Token, etc.)
* Handle more Content-Types (MIME types)
* Cookie handling
* Add capability to organize requests under categories
* Increase testing coverage

## Requirements

* Python: 3.5+
* Python Prompt Toolkit, Requests, Pygments
* set \$EDITOR environment variable
    - bash/zsh: `export EDITOR=$(which vim)`

## Testing

```
python install -e '.[dev]'
pytest
```