Metadata-Version: 1.0
Name: ninepatch
Version: 0.1.13
Summary: Slice and scale 9-patch images
Home-page: https://github.com/vindolin/ninepatch
Author: Thomas Schüßler
Author-email: vindolin@gmail.com
License: The MIT License (MIT)

Copyright (c) 2014 Thomas Schüßler

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Description: Slice Android style 9-patch images, resize and interactively preview them.
        --------------------------------------------------------------------------
        
        .. image:: https://travis-ci.org/vindolin/ninepatch.svg?branch=master
           :width: 90
           :alt: Travis CI
           :target: https://travis-ci.org/vindolin/ninepatch
        
        See https://developer.android.com/tools/help/draw9patch.html for a 9-patch description.
        
        .. image:: https://raw.githubusercontent.com/vindolin/ninepatch/master/ninepatch/data/ninepatch_bubble.9.png
           :width: 320
           :alt: Example image
           :target: https://raw.githubusercontent.com/vindolin/ninepatch/master/ninepatch/data/ninepatch_bubble.9.png
        
        Installation
        ------------
        
        If you want to use the interactive viewer read the additional installation notes under "Interactive viewer".
        
        ::
        
            $ pip install ninepatch
        
        Python usage
        ------------
        .. code-block:: python
        
        
            from ninepatch import Ninepatch
            ninepatch = Ninepatch('9patch_test.9.png')
            print(ninepatch.fill_area)  # (left, top, right, bottom)
            scaled_image = ninepatch.render(500, 400) # creates a new PIL image
        
        
        Command line usage
        ------------------
        Your image must be a PNG image with a transparent background.
        The scale and fill guide color must be 100% opaque black.
        
        Scale and open image in a viewer (PIL image.show()):
        
        ::
        
            $ ninepatch render 9patch_test.9.png 300 300
        
        Save the scaled image to a new file:
        
        ::
        
            $ ninepatch render 9patch_test.9.png 300 300 scaled.png
        
        Slice the 9patch into tiles:
        
        ::
        
            $ ninepatch slice 9patch_test.9.png ./outputdir
        
        
        Interactive viewer
        ------------------
        
        
        .. image:: https://raw.githubusercontent.com/vindolin/ninepatch/master/ninepatch/data/ninepatch_viewer_screenshot.png
           :width: 419
           :alt: ninepatch viewer screenshot
           :target: https://raw.githubusercontent.com/vindolin/ninepatch/master/ninepatch/data/ninepatch_viewer_screenshot.png
        
        
        Interactively resize and preview an image in a Tkinter viewer:
        
        ::
        
            $ ninepatch_viewer 9patch_test.9.png
        
            or just:
        
            $ ninepatch_viewer
        
            without arguments to see the demo image
        
        
        If you want to use the viewer then python-pil.imagetk has to be installed.
        
        On Ubuntu do:
        
        ::
        
          $ sudo apt-get install python-pil.imagetk
        
        
        If you want to install into a virtualenv, pip needs the following packages to compile PIL with Tkinter support:
        
        ::
        
           $  sudo apt-get install python-tk tk8.6-dev
        
        (You can trigger a recompile of PIL with: "pip install -I ninepatch")
        
        
        Changelog
        ---------
        0.1.13
          * new method export_slices()
          * changed command line parameters (render/slice)
        0.1.10
          * missing guides are now handled properly
        0.1.9
          * parse the fill area
          * switched to setuptools
        0.1.4
          * added Tkinter viewer
        
        Notes
        -----
        I wrote this tool for the ninepatch\_actor.py in my Clutter example project:
        https://github.com/vindolin/Clutter-Python-examples
        
        Issues
        ------
        ...
        
        TODO
        ----
        ...
        
Platform: UNKNOWN
