semvec/pypi-packages huggingface dataset:
mikes-toolbox 0.0.3
Testing installation of Package
License: MIT
Keywords: pypi,mikes_toolbox,tutorial

# Toolbox

Toolbox is a Python package that contains handy functions. 
It's main goal, however, is to demonstrate how to create 
a package and demonstrate how to upload it to PyPi.  
Check out [this](https://mikehuls.medium.com/create-your-custom-python-package-that-you-can-pip-install-from-your-git-repository-f90465867893)
article for a detailed explanation on how to create your 
custom Python package and upload it to PyPi!

## Installation and updating
Use the package manager [pip](https://pip.pypa.io/en/stable/) to install Toolbox like below. 
Rerun this command to check for and install  updates .
```bash
pip install git+https://github.com/Muls/toolbox
```

## Usage
Features:
* functions.listChunker  --> generator that chunks and interable in evenly sized chunks 
* functions.weirdCase    --> converts a string to a totally unreadable format
* functions.report      --> prints to the console with a timestamp
* decorators.singleton  --> used for decoratint your class to make it a singleton

#### Demo of some of the features:

```python
import mikes_toolbox
from mikes_toolbox import report

message = mikes_toolbox.functions.weirdCase("The mikes_toolbox package is ready for use")
report(message)

list_of_numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]
for chunk in mikes_toolbox.functions.listChunker(lst=list_of_numbers, dsize=3):
    print(chunk)
```

## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

## License
[MIT](https://choosealicense.com/licenses/mit/)
saphyre 1.0.3
A package for computational photography in Python.
License: MIT

Saphyre is a Open Source Python Package for easy computational photography. With one function call, you can automatically create beautiful edits on regular and low light images.

## Table of Contents
* Install
* Quickstart
* Common use
* More information


### Install Saphyre
```
pip install saphyre
```


### Quickstart

Using Saphyre's Computational Photography is a simple calling the `computational_photography()` function:

```python
import saphyre

saphyre.computational_photography("my-image.jpg", "newly_edited_photo.jpg")

```

### Common use

Saphyre works well on both CPU's and GPU's; However, if images are larger than 1 MB, processing takes longer. To combat this, you an shrink your photo slightly using the `lower_size()` function.

```python
import saphyre
from saphyre import helper

smaller_photo = helper.lower_size("big_image.jpg")

# "big_image" has now been reduced in size
saphyre.computational_photography("big_image", "newly_edited_photo.jpg")

```


### More information
For more information on projects from clevrML, please see https://www.clevrml.com or https://apollo.clevrml.com.
CssDeadwood 0.3.0
Tool to search CSS files for unused CSS selectors.
License: MIT
Keywords: css deadcode


CSS Deadwood
============

.. image:: https://img.shields.io/github/workflow/status/soxofaan/CssDeadwood/Lint%20and%20Test

.. image:: https://img.shields.io/github/license/soxofaan/CssDeadwood



CSS Deadwood is a tool to search for unused CSS selectors
by scanning given CSS files for CSS selectors and matching these against
HTML files (and optionally PHP/Python/Ruby/templates source code).


Installation
------------

The easiest way to install CSS Deadwood is with pip::

    pip install cssdeadwood

or easy_install::

    easy_install cssdeadwood

These will install (among others) the ``cssdeadwood`` script in a ``bin``
folder corresponding with the used installation procedure.

Note that CSS Deadwood depends on `lxml <http://lxml.de/>`_, which may take a while to
install/compile if it is not available on your system already.

Development
~~~~~~~~~~~

Or, if you want to go for the development version, clone CSS Deadwood from
https://github.com/soxofaan/CssDeadwood/



Usage
-----

Basic usage of the ``cssdeadwood`` tool is pretty simple:
just provide pass it one or more CSS files and
one or more HTML files and let it do its job::

	cssdeadwood style.css index.html

For example, CSS Deadwood comes with a demo mode::

	cssdeadwood --example

	--------------------------------------------------------------------------------
	Running CSS Deadwood in example mode with following CSS and HTML file as input:
	/path/to/cssdeadwood/test/files/css/css001.css
	/path/to/cssdeadwood/test/files/html/html001.html
	--------------------------------------------------------------------------------

	INFO:cssdeadwood:Working with 1 CSS files.
	INFO:cssdeadwood:Working with 1 HTML files.
	INFO:cssdeadwood:Working with 0 source files.
	INFO:cssdeadwood:Analysing CSS selectors from '/path/to/cssdeadwood/test/files/css/css001.css'
	INFO:cssdeadwood:Extracted 5 CSS selectors from '/path/to/cssdeadwood/test/files/css/css001.css'.
	INFO:cssdeadwood:DOM matching 5 CSS selectors: 3 matches, 2 unmatched with DOM from '/path/to/cssdeadwood/test/files/html/html001.html'
	/path/to/cssdeadwood/test/files/css/css001.css
	Could not determine usage of the following 2 CSS selectors (from 5 in total: 40.0%):
	#content div.ad
	a.premium