semvec/pypi-packages huggingface dataset:
uniquepwd 1.0.0
A module for getting short unique paths
License: MIT
Keywords: pwd path short unique

=========
Uniquepwd
=========

A package that provides a command: uniquepwd, that prints the shortest unique representation of the given path. Useful in prompts.

E.g.::

	cd C:\Users\jared\Documents\repos\uniquepwd
	uniquepwd (pwd)

prints::

	C:\U\j\Doc\r\u\

Installation:
=============

Install using pip::

  pip install uniquepwd
pyblur 0.2.3
Image blurring routines
License: MIT
Keywords: blur

#Pyblur
##Python image blurring routines.
Pyblur is a collection of simple image blurring routines.<br>
It supports Gaussian, Disk, Box, and Linear Motion Blur Kernels as well as the Point Spread Functions
used in [Convolutional Neural Networks for Direct Text Deblurring](http://www.fit.vutbr.cz/~ihradis/CNN-Deblur/).<br>
Functions receive a PIL image as input, and return another as output.<br>
Kernel sizes can either be specified as input, or randomized.<br>
Finally, there's a RandomizedBlur function that applies a random type of blurring kernel with a random width/strength.

pypi: [https://pypi.python.org/pypi?:action=display&name=pyblur&version=0.2.3](https://pypi.python.org/pypi?:action=display&name=pyblur&version=0.2.3)



##Installation
>From Pip: `pip install pyblur`<br>
Or alternatively `git clone` this repo and run locally

##Usage
    from pyblur import *

###Gaussian Blur
Blurs image using a Gaussian Kernel

    blurred = GaussianBlur(img, bandwidth)

Randomized kernel bandwidth (between 0.5 and 3.5)

    blurred = GaussianBlur_random(img)

###Defocus (Disk) Blur
Blurs image using a Disk Kernel

	blurred = DefocusBlur(img, kernelsize)

Randomized kernel size (between 3 and 9)

	blurred = DefocusBlur_random(img)


###Box Blur
Blurs image using a Box Kernel

	blurred = BoxBlur(img, kernelsize)

Randomized kernel size (between 3 and 9)

	blurred = BoxBlur_random(img)


###Linear Motion Blur
Blurs image using a Line Kernel

	blurred = LinearMotionBlur(img, dim, angle, linetype)

####Parameters
* `dim` Kernel Size: {3,5,7,9} <br>
* `angle` Angle of the line of motion. Will be floored to the closest one available for the given kernel size. <br>
* `linetype = {left, right, full}` Controls whether the blur kernel will be applied in full or only the left/right halves of it. <br>

Randomized kernel size, angle, and line type

	blurred = LinearMotionBlur_random(img)

### PSF Blur
Blurs image using one of the Point Spread Functions (Kernels) used in:<br>
[Convolutional Neural Networks for Direct Text Deblurring](http://www.fit.vutbr.cz/~ihradis/CNN-Deblur/)

	blurred = PsfBlur(img, psfid)

####Parameters
* `psfid` Id of the Point Spread Function to apply [0, 99] <br>


Randomized kernel size, angle, and line type

	blurred = PsfBlur_random(img)


###Random Blur
Randomly applies one of the supported blur types, with a randomized bandwidth/strenght.

	blurred = RandomizedBlur(img)
compose_diff 0.4.0
diff docker-compose files
License: MIT
Keywords: docker-compose diff docker yml

|Build Status| |Docker Build| |PyPi downloads| |PyPi version| |Docker
pulls| # compose\_diff

Diff docker-compose files. When deploying using docker-compose, these
files could be used to generate Release Notes. Especially interesting is
to diff two docker-compose Releases by each other, then customers know
the changed components and testers know which part to especially test.

Usage
-----

Via Python
~~~~~~~~~~

Install it via: ``pip3 install compose_diff``

After that use it like

``compose_diff --versions old.yml new.yml`` this will print the
differences in the used versions/tags between the two compose files.

``compose_diff --instances old.yml new.yml`` this will print the amount
of instances of this image between the two compose files.

Features
--------

-  Support for Version 2 and Version 1.
-  Diffs Image Versions
-  Diffs Image Instances
-  Output in Markdown and CSV format

.. |Build Status| image:: https://travis-ci.org/funkwerk/compose_diff.svg
   :target: https://travis-ci.org/funkwerk/compose_diff
.. |Docker Build| image:: https://img.shields.io/docker/automated/funkwerk/compose_diff.svg
   :target: https://hub.docker.com/r/funkwerk/compose_diff/
.. |PyPi downloads| image:: https://img.shields.io/pypi/dm/compose_diff.svg
   :target: https://pypi.python.org/pypi/compose_diff/
.. |PyPi version| image:: https://img.shields.io/pypi/v/compose_diff.svg
   :target: https://pypi.python.org/pypi/compose_diff/
.. |Docker pulls| image:: https://img.shields.io/docker/pulls/funkwerk/compose_diff.svg
   :target: https://hub.docker.com/r/funkwerk/compose_diff/