semvec/pypi-packages huggingface dataset:
sensor-library-justgo13 0.2.1
Library for radar and lidar parser code

Sensor project
==============
Using the project
-----------------
**Installation:** 

Enter the command: *pip install sensor-library-justgo13* 

**Testing code:**

cd to *C:\Users\USERNAME\AppData\Local\Programs\Python\Python36\Lib\site-packages\sensor_lib*

Run *library_gui.py* to run the GUI.

**Reading documentation:**

[Documentation download](https://drive.google.com/file/d/1ts0CmXK1hsYc_OtRn1SudOtLkU89QelY/view?usp=sharing)

**Source Code**

[Project Github page](https://github.com/Justgo13/sensor_library)

Sphinx Documentation
--------------------
This project was documented using Sphinx with Vim as the text editor. Sphinx creates .rst
files when initializing project and Vim is used to open and write to these .rst files. A link to download the version
of Vim used in this project can be found here:

[Download Vim](https://www.vim.org/download.php#pc)

Sphinx syntax can be be learned through this resource:

[Learn sphinx documentation syntax](https://pythonhosted.org/an_example_pypi_project/sphinx.html)

To initialize a sphinx documentation project use command: *sphinx-quickstart*. Make sure to 
enable autodocs to import auto-generated code. Example of autodoc commands are *automodule, autoclass and
autofunction.*

To build a final project use command *make html* for html pages and *make latex* for latex documents.

Jupyter Notebook
----------------
This project has a Jupyter notebook to demonstrate the results of the X4 parser and threshold functions as well as 
the results of running the TI radar parser.

Running Ouster OS1 Lidar
-------------------------
To run the OS1 Lidar, user must have working version of Ubuntu 16.04 or higher. All documentation 
regarding building and running the Lidar software can be found in the pdf file. 

Required libraries
------------------
numpy, pandas, webbrowser, tkinter, csv, matplotlib, pymoduleconnector, time, optparse, math
pydefang 0.0.1
A defang/refang utility written in Python.
Requires Python: >=3

# pydefang
A defang/refang utility written in Python.

#### Usage
`pydefang` is installed as two command-line utilities accessible as `defang` and `refang` from the command-line.

You can use it to convert a url to a defanged version (make it safe(r) to share):

```
-$ defang 'https://www.malicious.org/legit.exe'
hxxps[:]//www[.]malicious[.]org/legit[.]exe

```

or if you need to make something a 'real' url again you can refang:
```text
-$ refang 'hxxps[:]//www[.]malicious[.]org/legit[.]exe'
https://www.malicious.org/legit.exe
```

You can also use it programmatically:
```python
In [1]: from defang import defang, refang

In [2]: defang('https://www.malicious.org/legit.exe')
Out[2]: 'hxxps[:]//www[.]malicious[.]org/legit[.]exe'

In [3]: refang('hxxps[:]//www[.]malicious[.]org/legit[.]exe')
Out[3]: 'https://www.malicious.org/legit.exe'

```


#### Bugs
Feel free to report issues, this 'utility' was build out of ease as I got frustrated with manual conversion of timestamps and strings the whole time.