pyObject
========
The function pyObject creates a virtual Python object
of type PythonInR_Object.    

Every PythonInR_Object has the following members:
\itemize{
\item *py.variableName* the variable name used in Python.
\item *py.objectName* the name of the Python object (obtained by x.__name__)
or NULL.
\item *py.type* the type of the Python object.
\item *py.del* a function to delete the Python object.
\item *print* for more information see R6 classes.
\item *initialize* for more information see R6 classes.
}

The other members of PythonInR_Object's are generated dynamically
based on the provided Python object. The R function *ls* can be used
to view the members of a PythonInR_Object object.    


Usage
-----
.. code-block:: R

    pyObject(key, regFinalizer = TRUE)

Arguments
---------
.. raw:: html

    <table style="width:100%">
      <tr>
        <td style="background-color:#FFFFE0;"><b>key</b> &nbsp;</td>
        <td style="background-color:#E0E6F8;">a character string giving the name of the Python object.</td>
      </tr>
      <tr>
        <td style="background-color:#FFFFE0;"><b>regFinalizer</b> &nbsp;</td>
        <td style="background-color:#E0E6F8;">a logical indicating if a finalizer should be
    be registered, the default value is TRUE.</td>
      </tr>
    </table>

Examples
--------
.. code-block:: R

    if ( pyIsConnected() ){
    pyExec("import os")
    os <- pyObject("os", regFinalizer = FALSE)
    ls(os)
    ## To show again the difference between pyGet and pyGet0.
    os1 <- pyGet0("os") ## has no finalizer
    os2 <- pyGet("os")  ## has a finalizer
    os$py.variableName
    os1$py.variableName
    os2$py.variableName
    }