Metadata-Version: 1.1
Name: pysokoban
Version: 1.1
Summary: A highly customizable sokoban implementation using Python's tkinter.
Home-page: https://github.com/Risto-Stevcev/pysokoban
Author: Risto Stevcev
Author-email: risto1@gmail.com
License: BSD
Description: PySobokan 1.0
        =============
        
        | A highly customizable sokoban implementation using Python's tkinter.
        | View the package in the PyPI repository_ for documentation and an easy Win32 installation.
        
        Requirements
        ============
        
        | Python 2+
        | Tkinter
        
        Usage
        =====
        
        **Installing it using pip:**
        
        #. Run ``pip install --user pysokoban``
        
        #. Run ``pysokoban`` to
           play!
        
        
        **Installing it from the Git repository:**
        
        #. Clone the repository.
        
        #. Run ``python setup.py sdist`` from the project directory to create a
           source distribution.
        
        #. Run ``pip install --user pysokoban*.tar.gz`` from the new ``dist/``
           directory to install the package.
        
        #. Run ``pysokoban`` or ``python -c "import pysokoban.sokoban as skb; skb.main()"`` to
           play!
        
        -  **Or** just run ``python sokoban.py`` from the project directory
           without installing the package.
        
        To update the version:
        
        #. Clone or pull the repository for the latest version.
        
        #. Recreate the source distribution using the steps above.
        
        #. Run ``pip upgrade pysokoban*.tar.gz`` from the ``dist/`` directory to
           upgrade the package.
        
        | To uninstall, run ``pip uninstall pysokoban``.
        | You can modify the graphics used by replacing the images in the images folder.
        
        .. _repository: https://pypi.python.org/pypi/pysokoban/ 
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: X11 Applications
Classifier: Intended Audience :: End Users/Desktop
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2
Classifier: Topic :: Games/Entertainment :: Puzzle Games
