Metadata-Version: 1.1
Name: PyCLP
Version: 0.5
Summary: Interface to ECLiPSe CLP
Home-page: pyclp.berlios.de
Author: Oreste Bernardi
Author-email: <name>@<name>.eu  name=oreste
License: Simplified BSD
Description: Installation
        ############
        
        
        At this moment only Linux platform is supported.(tested on Ubuntu 12.04).
        
        Linux
        *****
        In this page it is explained how to compile and install from source in a Linux Platform
        
        Requirments
        ===========
        Following packages shall be preinstalled before proceeding the installation of PyCLP
        
        * `Python 2.x or 3.x (32 bit) <http://www.python.org/>`_
        * `Cython <http://www.cython.org/>`_
        * `ECLiPSe Constraint Programming System 6.1 (32-bit) <http://www.eclipseclp.org/>`_
        
        Download
        ========
        Download source files from `PyCLP sources <http://developer.berlios.de/project/showfiles.php?group_id=12904>`_
        
        Compilation & Installation
        ==========================
        Setup Enviromental variables for ECLiPSe:
        
        **ECLIPSEDIR** enviromental variable shall be set to the folder where is located ECLiPSe system. 
        This is required for compiling and using PyCLP.
        
        **LD_LIBRARY_PATH** enviromental variable shall contains the path of folder that contains 
        the ECLiPSe sharable library. E.g. <eclipsedir>/lib/i386_linux.
        
        
        
        Install using usual method
        
        .. code-block:: bash
        
           sudo python setup.py install
        
        Regression test
        
        .. code-block:: bash
        
           python test.py
           
           
        Windows
        *******
        
        
        Binary installation
        ===================
        
        Requirments
        -----------
        Following packages shall be preinstalled before proceeding the installation of PyCLP
        python3 setup.py register
        
        * `Python 2.x or 3.x (32bit) <http://www.python.org/>`_
        * `ECLiPSe Constraint Programming System 6.1 (32-bit) <http://www.eclipseclp.org/>`_
        
        
        Enviroment variables
        --------------------
        Setup Enviromental variables for ECLiPSe:
        
        **ECLIPSEDIR** enviromental variable shall be set to the folder where is located ECLiPSe system. 
        This is required for compiling and using PyCLP.
        
        **PATH** add in the path the folder where is stored the *eclipse.dll* file
        
        
        Download & Install
        ------------------
        Download msi installer from `PyCLP sources <http://developer.berlios.de/project/showfiles.php?group_id=12904>`_
        
        
        
        
        Installation from sources
        =========================
        
        Requirments
        -----------
        Following packages shall be preinstalled before proceeding the installation of PyCLP
        
        * `Python 3.x (32-bit) <http://www.python.org/>`_
        * `Cython <http://www.cython.org/>`_
        * `ECLiPSe Constraint Programming System 6.0 (32-bit) <http://www.eclipseclp.org/>`_
        
        Download
        --------
        Download source files from `PyCLP sources <http://developer.berlios.de/project/showfiles.php?group_id=12904>`_
        
        Compilation & Installation
        --------------------------
        Setup Enviromental variables for ECLiPSe:
        
        **ECLIPSEDIR** enviromental variable shall be set to the folder where is located ECLiPSe system. 
        This is required for compiling and using PyCLP.
        
        **PATH** add in the path the folder where is stored the *eclipse.dll* file
        
         
        
        Install using usual method
        
        .. code-block:: bash
        
           python setup.py install
        
        Regression test
        
        .. code-block:: bash
        
           python test.py
        
        
        
        
        
        
        
        
        
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Prolog
