=One MATLAB(R) Per Child=

_An open-source MATLAB(R) to Python compiler_

Author: `Peter Jurica <juricap@gmail.com>`

==Introduction==

OMPC (http://ompc.juricap.com) aims to allow effortless reuse of MATLAB code 
from Python. OMPC is a code adaptation layer that translates MATLAB's m-files
into Python compatible syntax. The generated Python compatible code 
depends on OMPClib which provides MATLAB compatible array interface for Python.
The OMPClib interface is another numerical Python library but the only one with 
indexing based at 1 instead at 0, strict FORTRAN binary interface and 
copy on assignment.

  
==Download and Installation==

Download the OMPC source code through:

  http://ompc.juricap.com/
  
  or directly
  
  hg clone http://bitbucket.org/juricap/ompc/

View the source code at:

  http://bitbucket.org/juricap/ompc/

==Documentation==

View the last release API documentation at:

  http://ompc.juricap.com/

==Using==

To use OMPC simply import it in your Python session.

  import ompc

Importing OMPC installs an import hook that will enable importing of 
MATLAB compatible files into to current Python session. This means 
that for example a file 'add.m' can be imported using the following statement:

  import add

The import hooks, upon finding the m-file named 'add.m', call the OMPC compiler
that adapts the code for use with the OMPClib and calls the Python compiler 
to create the resulting 'add.pyc' file. This exactly replicates the result 
produced by importing a python module.

For further information on this process or detailed explanation of 
the OMPClib emulation layer visit:

    http://ompc.juricap.com/


==License==

{{{

  Copyright (c) 2008, Peter Jurica, RIKEN Brain Science Institute
  All rights reserved.
  
  Redistribution and use in source and binary forms, with or without
  modification, are permitted provided that the following conditions are met:
      * Redistributions of source code must retain the above copyright
        notice, this list of conditions and the following disclaimer.
      * Redistributions in binary form must reproduce the above copyright
        notice, this list of conditions and the following disclaimer in the
        documentation and/or other materials provided with the distribution.
      * Neither the name of the RIKEN Brain Science Institute nor the
        names of its contributors may be used to endorse or promote products
        derived from this software without specific prior written permission.
      * All advertising materials mentioning features or use of this software
        must display the following acknowledgement:
        This product includes software developed by Peter Jurica.

  
  THIS SOFTWARE IS PROVIDED BY Peter Jurica ''AS IS'' AND ANY
  EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
  WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
  DISCLAIMED. IN NO EVENT SHALL Peter Jurica nor RIKEN Brain Science Institute 
  BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, 
  OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, 
  PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; 
  OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, 
  WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR 
  OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN 
  IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

}}}