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Metadata-Version: 1.0
Name: apipkg
Version: 1.0
Summary: apipkg: namespace control and lazy-import mechanism
Home-page: http://bitbucket.org/hpk42/apipkg
Author: holger krekel
Author-email: holger at merlinux.eu
License: MIT License
Description: Welcome to apipkg!
        ------------------------
        
        With apipkg you can control the exported namespace of a
        python package and greatly reduce the number of imports for your users.
        It is a `small pure python module`_ that works on virtually all Python
        versions, including CPython2.3 to Python3.1, Jython and PyPy.  It co-operates
        well with Python's ``help()`` system, custom importers (PEP302) and common 
        command line completion tools.  
        
        Usage is very simple: you can require 'apipkg' as a dependency or you
        can copy paste the <100 Lines of code into your project.
        
        Tutorial example
        -------------------
        
        Here is a simple ``mypkg`` package that specifies one namespace
        and exports two objects imported from different modules::
        
            # mypkg/__init__.py
            import apipkg
            apipkg.initpkg(__name__, {
                'path': {
                    'Class1': "_mypkg.somemodule:Class1",
                    'clsattr': "_mypkg.othermodule:Class2.attr",
                }
            }
        
        The package is initialized with a dictionary as namespace. 
        
        You need to create a ``_mypkg`` package with a ``somemodule.py`` 
        and ``othermodule.py`` containing the respective classes.
        The ``_mypkg`` is not special - it's a completely 
        regular python package. 
        
        Namespace dictionaries contain ``name: value`` mappings 
        where the value may be another namespace dictionary or
        a string specifying an import location.  On accessing
        an namespace attribute an import will be performed::
        
            >>> import mypkg
            >>> mypkg.path
            <ApiModule 'mypkg.path'>
            >>> mypkg.path.Class1   # '_mypkg.somemodule' gets imported now
            <class _mypkg.somemodule.Class1 at 0xb7d428fc>
            >>> mypkg.path.clsattr  # '_mypkg.othermodule' gets imported now
            4 # the value of _mypkg.othermodule.Class2.attr
        
        The ``mypkg.path`` namespace and its two entries are
        loaded when they are accessed.   This means:
        
        * lazy loading - only what is actually needed is ever loaded
        
        * only the root "mypkg" ever needs to be imported to get
          access to the complete functionality.
        
        * the underlying modules are also accessible, for example::
        
            from mypkg.sub import Class1
        
        
        Including apipkg in your package
        --------------------------------------
        
        If you don't want to add an ``apipkg`` dependency to your package you 
        can copy the `apipkg.py`_ file somewhere to your own package, 
        for example ``_mypkg/apipkg.py`` in the above example.  You
        then import the ``initpkg`` function from that new place and
        are good to go. 
        
        .. _`small pure python module`:
        .. _`apipkg.py`: http://bitbucket.org/hpk42/apipkg/src/tip/apipkg.py
        
        Feedback? 
        -----------------------
        
        If you have questions you are welcome to 
        
        * join the #pylib channel on irc.freenode.net 
        * subscribe to the http://codespeak.net/mailman/listinfo/py-dev list. 
        * create an issue on http://bitbucket.org/hpk42/apipkg/issues
        
        have fun, 
        holger krekel
        
Platform: unix
Platform: linux
Platform: osx
Platform: cygwin
Platform: win32
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: POSIX
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Topic :: Software Development :: Libraries
Classifier: Programming Language :: Python