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        "description": "hey_rexec\n=========\nRExec is a simple interface for running R in bulk on .R files.\nIt is not intended to be a replacement for rpy or rpy2.\nIf you're the kind of person who does some analysis in R and just wants\nto mechanize running it (rather than a closer integration with Python),\nthis library might be for you.\n\n__doc__\n-------\nA chaining R executing object.\n\nRExec lets you run R code and get the results from Python.  For the\nmost part, the interface is pretty hacky.  The goal is to make it\neasy to automate the usage of existing R files, rather than make\nelegant programs integrating R and Python.  (For the latter, you\nmight consider rpy or rpy2.)\n\nAn RExec object takes a directory where it will be run.  You can then\nadd R code to the object in a variety of ways (append_string,\nappend_file and so on).  When you are done appending to the RExec\nobject, you can use the execute() method which will run an R slave\nprocess on all of the R that you have appended so far (concatenated\ntogether.  Finally, you can get access to results of your R script\nin a relatively unorthodox way.  Any files output with an \"``r_``\" prefix\nwill be available by calling get_text() or get_graphic() as appropriate.\n\nRExec has a chaining interface.  This means you can do things like:\n\n.. code:: python\n\n r_ex =(RExec(some_dir)\n        .append_file(\"some.R\")\n        .append_file(\"other.R\")\n        .execute())\n r_ex.get_graphic('foo.svg', path='absolute')",
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