remove simplegeneric from external

make it a dependency

IPython/extensions/rmagic.py

@@ -1,707 +1,707 b''
 # -*- coding: utf-8 -*-
 """
 ======
 Rmagic
 ======
 
 Magic command interface for interactive work with R via rpy2
 
 .. note::
 
   The ``rpy2`` package needs to be installed separately. It
   can be obtained using ``easy_install`` or ``pip``.
 
   You will also need a working copy of R.
 
 Usage
 =====
 
 To enable the magics below, execute ``%load_ext rmagic``.
 
 ``%R``
 
 {R_DOC}
 
 ``%Rpush``
 
 {RPUSH_DOC}
 
 ``%Rpull``
 
 {RPULL_DOC}
 
 ``%Rget``
 
 {RGET_DOC}
 
 """
 from __future__ import print_function
 
 #-----------------------------------------------------------------------------
 #  Copyright (C) 2012 The IPython Development Team
 #
 #  Distributed under the terms of the BSD License.  The full license is in
 #  the file COPYING, distributed as part of this software.
 #-----------------------------------------------------------------------------
 
 import sys
 import tempfile
 from glob import glob
 from shutil import rmtree
 import warnings
 
 # numpy and rpy2 imports
 
 import numpy as np
 
 import rpy2.rinterface as ri
 import rpy2.robjects as ro
 try:
     from rpy2.robjects import pandas2ri
     pandas2ri.activate()
 except ImportError:
     pandas2ri = None
     from rpy2.robjects import numpy2ri
     numpy2ri.activate()
 
 # IPython imports
 
 from IPython.core.displaypub import publish_display_data
 from IPython.core.magic import (Magics, magics_class, line_magic,
                                 line_cell_magic, needs_local_scope)
 from IPython.testing.skipdoctest import skip_doctest
 from IPython.core.magic_arguments import (
     argument, magic_arguments, parse_argstring
 )
-from IPython.external.simplegeneric import generic
+from simplegeneric import generic
 from IPython.utils.py3compat import (str_to_unicode, unicode_to_str, PY3,
                                      unicode_type)
 from IPython.utils.text import dedent
 
 class RInterpreterError(ri.RRuntimeError):
     """An error when running R code in a %%R magic cell."""
     def __init__(self, line, err, stdout):
         self.line = line
         self.err = err.rstrip()
         self.stdout = stdout.rstrip()
     
     def __unicode__(self):
         s = 'Failed to parse and evaluate line %r.\nR error message: %r' % \
                 (self.line, self.err)
         if self.stdout and (self.stdout != self.err):
             s += '\nR stdout:\n' + self.stdout
         return s
     
     if PY3:
         __str__ = __unicode__
     else:
         def __str__(self):
             return unicode_to_str(unicode(self), 'utf-8')
 
 def Rconverter(Robj, dataframe=False):
     """
     Convert an object in R's namespace to one suitable
     for ipython's namespace.
 
     For a data.frame, it tries to return a structured array.
     It first checks for colnames, then names.
     If all are NULL, it returns np.asarray(Robj), else
     it tries to construct a recarray
 
     Parameters
     ----------
 
     Robj: an R object returned from rpy2
     """
     is_data_frame = ro.r('is.data.frame')
     colnames = ro.r('colnames')
     rownames = ro.r('rownames') # with pandas, these could be used for the index
     names = ro.r('names')
 
     if dataframe:
         as_data_frame = ro.r('as.data.frame')
         cols = colnames(Robj)
         _names = names(Robj)
         if cols != ri.NULL:
             Robj = as_data_frame(Robj)
             names = tuple(np.array(cols))
         elif _names != ri.NULL:
             names = tuple(np.array(_names))
         else: # failed to find names
             return np.asarray(Robj)
         Robj = np.rec.fromarrays(Robj, names = names)
     return np.asarray(Robj)
 
 @generic
 def pyconverter(pyobj):
     """Convert Python objects to R objects. Add types using the decorator:
     
     @pyconverter.when_type
     """
     return pyobj
 
 # The default conversion for lists seems to make them a nested list. That has
 # some advantages, but is rarely convenient, so for interactive use, we convert
 # lists to a numpy array, which becomes an R vector.
 @pyconverter.when_type(list)
 def pyconverter_list(pyobj):
     return np.asarray(pyobj)
 
 if pandas2ri is None:
     # pandas2ri was new in rpy2 2.3.3, so for now we'll fallback to pandas'
     # conversion function.
     try:
         from pandas import DataFrame
         from pandas.rpy.common import convert_to_r_dataframe
         @pyconverter.when_type(DataFrame)
         def pyconverter_dataframe(pyobj):
             return convert_to_r_dataframe(pyobj, strings_as_factors=True)
     except ImportError:
         pass
 
 @magics_class
 class RMagics(Magics):
     """A set of magics useful for interactive work with R via rpy2.
     """
 
     def __init__(self, shell, Rconverter=Rconverter,
                  pyconverter=pyconverter,
                  cache_display_data=False):
         """
         Parameters
         ----------
 
         shell : IPython shell
         
         Rconverter : callable
             To be called on values taken from R before putting them in the
             IPython namespace.
 
         pyconverter : callable
             To be called on values in ipython namespace before 
             assigning to variables in rpy2.
 
         cache_display_data : bool
             If True, the published results of the final call to R are 
             cached in the variable 'display_cache'.
 
         """
         super(RMagics, self).__init__(shell)
         self.cache_display_data = cache_display_data
 
         self.r = ro.R()
 
         self.Rstdout_cache = []
         self.pyconverter = pyconverter
         self.Rconverter = Rconverter
 
     def eval(self, line):
         '''
         Parse and evaluate a line of R code with rpy2.
         Returns the output to R's stdout() connection, 
         the value generated by evaluating the code, and a
         boolean indicating whether the return value would be
         visible if the line of code were evaluated in an R REPL.
         
         R Code evaluation and visibility determination are
         done via an R call of the form withVisible({<code>})
         
         '''
         old_writeconsole = ri.get_writeconsole()
         ri.set_writeconsole(self.write_console)
         try:
             res = ro.r("withVisible({%s\n})" % line)
             value = res[0] #value (R object)
             visible = ro.conversion.ri2py(res[1])[0] #visible (boolean)
         except (ri.RRuntimeError, ValueError) as exception:
             warning_or_other_msg = self.flush() # otherwise next return seems to have copy of error
             raise RInterpreterError(line, str_to_unicode(str(exception)), warning_or_other_msg)
         text_output = self.flush()
         ri.set_writeconsole(old_writeconsole)
         return text_output, value, visible
 
     def write_console(self, output):
         '''
         A hook to capture R's stdout in a cache.
         '''
         self.Rstdout_cache.append(output)
 
     def flush(self):
         '''
         Flush R's stdout cache to a string, returning the string.
         '''
         value = ''.join([str_to_unicode(s, 'utf-8') for s in self.Rstdout_cache])
         self.Rstdout_cache = []
         return value
 
     @skip_doctest
     @needs_local_scope
     @line_magic
     def Rpush(self, line, local_ns=None):
         '''
         A line-level magic for R that pushes
         variables from python to rpy2. The line should be made up
         of whitespace separated variable names in the IPython
         namespace::
 
             In [7]: import numpy as np
 
             In [8]: X = np.array([4.5,6.3,7.9])
 
             In [9]: X.mean()
             Out[9]: 6.2333333333333343
 
             In [10]: %Rpush X
 
             In [11]: %R mean(X)
             Out[11]: array([ 6.23333333])
 
         '''
         if local_ns is None:
             local_ns = {}
 
         inputs = line.split(' ')
         for input in inputs:
             try:
                 val = local_ns[input]
             except KeyError:
                 try:
                     val = self.shell.user_ns[input]
                 except KeyError:
                     # reraise the KeyError as a NameError so that it looks like
                     # the standard python behavior when you use an unnamed
                     # variable
                     raise NameError("name '%s' is not defined" % input)
 
             self.r.assign(input, self.pyconverter(val))
 
     @skip_doctest
     @magic_arguments()
     @argument(
         '-d', '--as_dataframe', action='store_true',
         default=False,
         help='Convert objects to data.frames before returning to ipython.'
         )
     @argument(
         'outputs',
         nargs='*',
         )
     @line_magic
     def Rpull(self, line):
         '''
         A line-level magic for R that pulls
         variables from python to rpy2::
 
             In [18]: _ = %R x = c(3,4,6.7); y = c(4,6,7); z = c('a',3,4)
 
             In [19]: %Rpull x  y z
 
             In [20]: x
             Out[20]: array([ 3. ,  4. ,  6.7])
 
             In [21]: y
             Out[21]: array([ 4.,  6.,  7.])
 
             In [22]: z
             Out[22]:
             array(['a', '3', '4'],
                   dtype='|S1')
 
 
         If --as_dataframe, then each object is returned as a structured array
         after first passed through "as.data.frame" in R before
         being calling self.Rconverter. 
         This is useful when a structured array is desired as output, or
         when the object in R has mixed data types. 
         See the %%R docstring for more examples.
 
         Notes
         -----
 
         Beware that R names can have '.' so this is not fool proof.
         To avoid this, don't name your R objects with '.'s...
 
         '''
         args = parse_argstring(self.Rpull, line)
         outputs = args.outputs
         for output in outputs:
             self.shell.push({output:self.Rconverter(self.r(output),dataframe=args.as_dataframe)})
 
     @skip_doctest
     @magic_arguments()
     @argument(
         '-d', '--as_dataframe', action='store_true',
         default=False,
         help='Convert objects to data.frames before returning to ipython.'
         )
     @argument(
         'output',
         nargs=1,
         type=str,
         )
     @line_magic
     def Rget(self, line):
         '''
         Return an object from rpy2, possibly as a structured array (if possible).
         Similar to Rpull except only one argument is accepted and the value is 
         returned rather than pushed to self.shell.user_ns::
 
             In [3]: dtype=[('x', '<i4'), ('y', '<f8'), ('z', '|S1')]
 
             In [4]: datapy = np.array([(1, 2.9, 'a'), (2, 3.5, 'b'), (3, 2.1, 'c'), (4, 5, 'e')], dtype=dtype)
 
             In [5]: %R -i datapy
 
             In [6]: %Rget datapy
             Out[6]: 
             array([['1', '2', '3', '4'],
                    ['2', '3', '2', '5'],
                    ['a', 'b', 'c', 'e']], 
                   dtype='|S1')
 
             In [7]: %Rget -d datapy
             Out[7]: 
             array([(1, 2.9, 'a'), (2, 3.5, 'b'), (3, 2.1, 'c'), (4, 5.0, 'e')], 
                   dtype=[('x', '<i4'), ('y', '<f8'), ('z', '|S1')])
 
         '''
         args = parse_argstring(self.Rget, line)
         output = args.output
         return self.Rconverter(self.r(output[0]),dataframe=args.as_dataframe)
 
 
     @skip_doctest
     @magic_arguments()
     @argument(
         '-i', '--input', action='append',
         help='Names of input variable from shell.user_ns to be assigned to R variables of the same names after calling self.pyconverter. Multiple names can be passed separated only by commas with no whitespace.'
         )
     @argument(
         '-o', '--output', action='append',
         help='Names of variables to be pushed from rpy2 to shell.user_ns after executing cell body and applying self.Rconverter. Multiple names can be passed separated only by commas with no whitespace.'
         )
     @argument(
         '-w', '--width', type=int,
         help='Width of png plotting device sent as an argument to *png* in R.'
         )
     @argument(
         '-h', '--height', type=int,
         help='Height of png plotting device sent as an argument to *png* in R.'
         )
 
     @argument(
         '-d', '--dataframe', action='append',
         help='Convert these objects to data.frames and return as structured arrays.'
         )
     @argument(
         '-u', '--units', type=unicode_type, choices=["px", "in", "cm", "mm"],
         help='Units of png plotting device sent as an argument to *png* in R. One of ["px", "in", "cm", "mm"].'
         )
     @argument(
         '-r', '--res', type=int,
         help='Resolution of png plotting device sent as an argument to *png* in R. Defaults to 72 if *units* is one of ["in", "cm", "mm"].'
         )
     @argument(
         '-p', '--pointsize', type=int,
         help='Pointsize of png plotting device sent as an argument to *png* in R.'
         )
     @argument(
         '-b', '--bg',
         help='Background of png plotting device sent as an argument to *png* in R.'
         )
     @argument(
         '-n', '--noreturn',
         help='Force the magic to not return anything.',
         action='store_true',
         default=False
         )
     @argument(
         'code',
         nargs='*',
         )
     @needs_local_scope
     @line_cell_magic
     def R(self, line, cell=None, local_ns=None):
         '''
         Execute code in R, and pull some of the results back into the Python namespace.
 
         In line mode, this will evaluate an expression and convert the returned value to a Python object.
         The return value is determined by rpy2's behaviour of returning the result of evaluating the
         final line. 
 
         Multiple R lines can be executed by joining them with semicolons::
 
             In [9]: %R X=c(1,4,5,7); sd(X); mean(X)
             Out[9]: array([ 4.25])
 
         In cell mode, this will run a block of R code. The resulting value
         is printed if it would printed be when evaluating the same code 
         within a standard R REPL.
         
         Nothing is returned to python by default in cell mode::
 
             In [10]: %%R
                ....: Y = c(2,4,3,9)
                ....: summary(lm(Y~X))
 
             Call:
             lm(formula = Y ~ X)
 
             Residuals:
                 1     2     3     4
              0.88 -0.24 -2.28  1.64
 
             Coefficients:
                         Estimate Std. Error t value Pr(>|t|)
             (Intercept)   0.0800     2.3000   0.035    0.975
             X             1.0400     0.4822   2.157    0.164
 
             Residual standard error: 2.088 on 2 degrees of freedom
             Multiple R-squared: 0.6993,Adjusted R-squared: 0.549
             F-statistic: 4.651 on 1 and 2 DF,  p-value: 0.1638
 
         In the notebook, plots are published as the output of the cell::
 
             %R plot(X, Y)
 
         will create a scatter plot of X bs Y.
 
         If cell is not None and line has some R code, it is prepended to
         the R code in cell.
 
         Objects can be passed back and forth between rpy2 and python via the -i -o flags in line::
 
             In [14]: Z = np.array([1,4,5,10])
 
             In [15]: %R -i Z mean(Z)
             Out[15]: array([ 5.])
 
 
             In [16]: %R -o W W=Z*mean(Z)
             Out[16]: array([  5.,  20.,  25.,  50.])
 
             In [17]: W
             Out[17]: array([  5.,  20.,  25.,  50.])
 
         The return value is determined by these rules:
 
         * If the cell is not None, the magic returns None.
 
         * If the cell evaluates as False, the resulting value is returned
           unless the final line prints something to the console, in
           which case None is returned.
 
         * If the final line results in a NULL value when evaluated
           by rpy2, then None is returned.
 
         * No attempt is made to convert the final value to a structured array.
           Use the --dataframe flag or %Rget to push / return a structured array.
 
         * If the -n flag is present, there is no return value.
 
         * A trailing ';' will also result in no return value as the last
           value in the line is an empty string.
 
         The --dataframe argument will attempt to return structured arrays. 
         This is useful for dataframes with
         mixed data types. Note also that for a data.frame, 
         if it is returned as an ndarray, it is transposed::
 
             In [18]: dtype=[('x', '<i4'), ('y', '<f8'), ('z', '|S1')]
 
             In [19]: datapy = np.array([(1, 2.9, 'a'), (2, 3.5, 'b'), (3, 2.1, 'c'), (4, 5, 'e')], dtype=dtype)
 
             In [20]: %%R -o datar
             datar = datapy
                ....: 
 
             In [21]: datar
             Out[21]: 
             array([['1', '2', '3', '4'],
                    ['2', '3', '2', '5'],
                    ['a', 'b', 'c', 'e']], 
                   dtype='|S1')
 
             In [22]: %%R -d datar
             datar = datapy
                ....: 
 
             In [23]: datar
             Out[23]: 
             array([(1, 2.9, 'a'), (2, 3.5, 'b'), (3, 2.1, 'c'), (4, 5.0, 'e')], 
                   dtype=[('x', '<i4'), ('y', '<f8'), ('z', '|S1')])
 
         The --dataframe argument first tries colnames, then names.
         If both are NULL, it returns an ndarray (i.e. unstructured)::
 
             In [1]: %R mydata=c(4,6,8.3); NULL
 
             In [2]: %R -d mydata
 
             In [3]: mydata
             Out[3]: array([ 4. ,  6. ,  8.3])
 
             In [4]: %R names(mydata) = c('a','b','c'); NULL
 
             In [5]: %R -d mydata
 
             In [6]: mydata
             Out[6]: 
             array((4.0, 6.0, 8.3), 
                   dtype=[('a', '<f8'), ('b', '<f8'), ('c', '<f8')])
 
             In [7]: %R -o mydata
 
             In [8]: mydata
             Out[8]: array([ 4. ,  6. ,  8.3])
 
         '''
 
         args = parse_argstring(self.R, line)
 
         # arguments 'code' in line are prepended to
         # the cell lines
 
         if cell is None:
             code = ''
             return_output = True
             line_mode = True
         else:
             code = cell
             return_output = False
             line_mode = False
 
         code = ' '.join(args.code) + code
 
         # if there is no local namespace then default to an empty dict
         if local_ns is None:
             local_ns = {}
 
         if args.input:
             for input in ','.join(args.input).split(','):
                 try:
                     val = local_ns[input]
                 except KeyError:
                     try:
                         val = self.shell.user_ns[input]
                     except KeyError:
                         raise NameError("name '%s' is not defined" % input)
                 self.r.assign(input, self.pyconverter(val))
 
         if getattr(args, 'units') is not None:
             if args.units != "px" and getattr(args, 'res') is None:
                 args.res = 72
             args.units = '"%s"' % args.units
 
         png_argdict = dict([(n, getattr(args, n)) for n in ['units', 'res', 'height', 'width', 'bg', 'pointsize']])
         png_args = ','.join(['%s=%s' % (o,v) for o, v in png_argdict.items() if v is not None])
         # execute the R code in a temporary directory
 
         tmpd = tempfile.mkdtemp()
         self.r('png("%s/Rplots%%03d.png",%s)' % (tmpd.replace('\\', '/'), png_args))
 
         text_output = ''
         try:
             if line_mode:
                 for line in code.split(';'):
                     text_result, result, visible = self.eval(line)
                     text_output += text_result
                 if text_result:
                     # the last line printed something to the console so we won't return it
                     return_output = False
             else:
                 text_result, result, visible = self.eval(code)
                 text_output += text_result
                 if visible:
                     old_writeconsole = ri.get_writeconsole()
                     ri.set_writeconsole(self.write_console) 
                     ro.r.show(result)
                     text_output += self.flush()
                     ri.set_writeconsole(old_writeconsole)
         
         except RInterpreterError as e:
             print(e.stdout)
             if not e.stdout.endswith(e.err):
                 print(e.err)
             rmtree(tmpd)
             return
         finally:
             self.r('dev.off()')
 
         # read out all the saved .png files
 
         images = [open(imgfile, 'rb').read() for imgfile in glob("%s/Rplots*png" % tmpd)]
 
         # now publish the images
         # mimicking IPython/zmq/pylab/backend_inline.py
         fmt = 'png'
         mimetypes = { 'png' : 'image/png', 'svg' : 'image/svg+xml' }
         mime = mimetypes[fmt]
 
         # publish the printed R objects, if any
 
         display_data = []
         if text_output:
             display_data.append(('RMagic.R', {'text/plain':text_output}))
 
         # flush text streams before sending figures, helps a little with output
         for image in images:
             # synchronization in the console (though it's a bandaid, not a real sln)
             sys.stdout.flush(); sys.stderr.flush()
             display_data.append(('RMagic.R', {mime: image}))
 
         # kill the temporary directory
         rmtree(tmpd)
 
         # try to turn every output into a numpy array
         # this means that output are assumed to be castable
         # as numpy arrays
 
         if args.output:
             for output in ','.join(args.output).split(','):
                 self.shell.push({output:self.Rconverter(self.r(output), dataframe=False)})
 
         if args.dataframe:
             for output in ','.join(args.dataframe).split(','):
                 self.shell.push({output:self.Rconverter(self.r(output), dataframe=True)})
 
         for tag, disp_d in display_data:
             publish_display_data(data=disp_d, source=tag)
 
         # this will keep a reference to the display_data
         # which might be useful to other objects who happen to use
         # this method
 
         if self.cache_display_data:
             self.display_cache = display_data
 
         # if in line mode and return_output, return the result as an ndarray
         if return_output and not args.noreturn:
             if result != ri.NULL:
                 return self.Rconverter(result, dataframe=False)
 
 __doc__ = __doc__.format(
                 R_DOC = dedent(RMagics.R.__doc__),
                 RPUSH_DOC = dedent(RMagics.Rpush.__doc__),
                 RPULL_DOC = dedent(RMagics.Rpull.__doc__),
                 RGET_DOC = dedent(RMagics.Rget.__doc__)
 )
 
 
 def load_ipython_extension(ip):
     """Load the extension in IPython."""
     warnings.warn("The rmagic extension in IPython is deprecated in favour of "
             "rpy2.ipython. If available, that will be loaded instead.\n"
             "http://rpy.sourceforge.net/")
     try:
         import rpy2.ipython
     except ImportError:
         pass  # Fall back to our own implementation for now
     else:
         return rpy2.ipython.load_ipython_extension(ip)
 
     ip.register_magics(RMagics)
     # Initialising rpy2 interferes with readline. Since, at this point, we've
     # probably just loaded rpy2, we reset the delimiters. See issue gh-2759.
     if ip.has_readline:
         ip.readline.set_completer_delims(ip.readline_delims)

IPython/utils/generics.py

@@ -1,49 +1,34 b''
 # encoding: utf-8
 """Generic functions for extending IPython.
 
-See http://cheeseshop.python.org/pypi/simplegeneric.
+See http://pypi.python.org/pypi/simplegeneric.
 """
 
-#-----------------------------------------------------------------------------
-#  Copyright (C) 2008-2011  The IPython Development Team
-#
-#  Distributed under the terms of the BSD License.  The full license is in
-#  the file COPYING, distributed as part of this software.
-#-----------------------------------------------------------------------------
-
-#-----------------------------------------------------------------------------
-# Imports
-#-----------------------------------------------------------------------------
-
 from IPython.core.error import TryNext
-from IPython.external.simplegeneric import generic
-
-#-----------------------------------------------------------------------------
-# Imports
-#-----------------------------------------------------------------------------
+from simplegeneric import generic
 
 
 @generic
 def inspect_object(obj):
     """Called when you do obj?"""
     raise TryNext
 
 
 @generic
 def complete_object(obj, prev_completions):
     """Custom completer dispatching for python objects.
 
     Parameters
     ----------
     obj : object
         The object to complete.
     prev_completions : list
         List of attributes discovered so far.
 
     This should return the list of attributes in obj. If you only wish to
     add to the attributes already discovered normally, return
     own_attrs + prev_completions.
     """
     raise TryNext
 
 

setup.py

@@ -1,349 +1,350 b''
 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 """Setup script for IPython.
 
 Under Posix environments it works like a typical setup.py script.
 Under Windows, the command sdist is not supported, since IPython
 requires utilities which are not available under Windows."""
 
 #-----------------------------------------------------------------------------
 #  Copyright (c) 2008-2011, IPython Development Team.
 #  Copyright (c) 2001-2007, Fernando Perez <[e-mail]>
 #  Copyright (c) 2001, Janko Hauser <[e-mail]>
 #  Copyright (c) 2001, Nathaniel Gray <[e-mail]>
 #
 #  Distributed under the terms of the Modified BSD License.
 #
 #  The full license is in the file COPYING.rst, distributed with this software.
 #-----------------------------------------------------------------------------
 
 #-----------------------------------------------------------------------------
 # Minimal Python version sanity check
 #-----------------------------------------------------------------------------
 from __future__ import print_function
 
 import sys
 
 # This check is also made in IPython/__init__, don't forget to update both when
 # changing Python version requirements.
 v = sys.version_info
 if v[:2] < (2,7) or (v[0] >= 3 and v[:2] < (3,3)):
     error = "ERROR: IPython requires Python version 2.7 or 3.3 or above."
     print(error, file=sys.stderr)
     sys.exit(1)
 
 PY3 = (sys.version_info[0] >= 3)
 
 # At least we're on the python version we need, move on.
 
 #-------------------------------------------------------------------------------
 # Imports
 #-------------------------------------------------------------------------------
 
 # Stdlib imports
 import os
 import shutil
 
 from glob import glob
 
 # BEFORE importing distutils, remove MANIFEST. distutils doesn't properly
 # update it when the contents of directories change.
 if os.path.exists('MANIFEST'): os.remove('MANIFEST')
 
 from distutils.core import setup
 
 # Our own imports
 from setupbase import target_update
 
 from setupbase import (
     setup_args,
     find_packages,
     find_package_data,
     check_package_data_first,
     find_entry_points,
     build_scripts_entrypt,
     find_data_files,
     check_for_dependencies,
     git_prebuild,
     check_submodule_status,
     update_submodules,
     require_submodules,
     UpdateSubmodules,
     get_bdist_wheel,
     CompileCSS,
     JavascriptVersion,
     css_js_prerelease,
     install_symlinked,
     install_lib_symlink,
     install_scripts_for_symlink,
     unsymlink,
 )
 from setupext import setupext
 
 isfile = os.path.isfile
 pjoin = os.path.join
 
 #-------------------------------------------------------------------------------
 # Handle OS specific things
 #-------------------------------------------------------------------------------
 
 if os.name in ('nt','dos'):
     os_name = 'windows'
 else:
     os_name = os.name
 
 # Under Windows, 'sdist' has not been supported.  Now that the docs build with
 # Sphinx it might work, but let's not turn it on until someone confirms that it
 # actually works.
 if os_name == 'windows' and 'sdist' in sys.argv:
     print('The sdist command is not available under Windows.  Exiting.')
     sys.exit(1)
 
 #-------------------------------------------------------------------------------
 # Make sure we aren't trying to run without submodules
 #-------------------------------------------------------------------------------
 here = os.path.abspath(os.path.dirname(__file__))
 
 def require_clean_submodules():
     """Check on git submodules before distutils can do anything
 
     Since distutils cannot be trusted to update the tree
     after everything has been set in motion,
     this is not a distutils command.
     """
     # PACKAGERS: Add a return here to skip checks for git submodules
     
     # don't do anything if nothing is actually supposed to happen
     for do_nothing in ('-h', '--help', '--help-commands', 'clean', 'submodule'):
         if do_nothing in sys.argv:
             return
 
     status = check_submodule_status(here)
 
     if status == "missing":
         print("checking out submodules for the first time")
         update_submodules(here)
     elif status == "unclean":
         print('\n'.join([
             "Cannot build / install IPython with unclean submodules",
             "Please update submodules with",
             "    python setup.py submodule",
             "or",
             "    git submodule update",
             "or commit any submodule changes you have made."
         ]))
         sys.exit(1)
 
 require_clean_submodules()
 
 #-------------------------------------------------------------------------------
 # Things related to the IPython documentation
 #-------------------------------------------------------------------------------
 
 # update the manuals when building a source dist
 if len(sys.argv) >= 2 and sys.argv[1] in ('sdist','bdist_rpm'):
 
     # List of things to be updated. Each entry is a triplet of args for
     # target_update()
     to_update = [
                   # FIXME - Disabled for now: we need to redo an automatic way
                   # of generating the magic info inside the rst.
                   #('docs/magic.tex',
                   #['IPython/Magic.py'],
                   #"cd doc && ./update_magic.sh" ),
 
                  ('docs/man/ipcluster.1.gz',
                   ['docs/man/ipcluster.1'],
                   'cd docs/man && gzip -9c ipcluster.1 > ipcluster.1.gz'),
 
                  ('docs/man/ipcontroller.1.gz',
                   ['docs/man/ipcontroller.1'],
                   'cd docs/man && gzip -9c ipcontroller.1 > ipcontroller.1.gz'),
 
                  ('docs/man/ipengine.1.gz',
                   ['docs/man/ipengine.1'],
                   'cd docs/man && gzip -9c ipengine.1 > ipengine.1.gz'),
 
                  ('docs/man/ipython.1.gz',
                   ['docs/man/ipython.1'],
                   'cd docs/man && gzip -9c ipython.1 > ipython.1.gz'),
 
                  ]
 
 
     [ target_update(*t) for t in to_update ]
 
 #---------------------------------------------------------------------------
 # Find all the packages, package data, and data_files
 #---------------------------------------------------------------------------
 
 packages = find_packages()
 package_data = find_package_data()
 
 data_files = find_data_files()
 
 setup_args['packages'] = packages
 setup_args['package_data'] = package_data
 setup_args['data_files'] = data_files
 
 #---------------------------------------------------------------------------
 # custom distutils commands
 #---------------------------------------------------------------------------
 # imports here, so they are after setuptools import if there was one
 from distutils.command.sdist import sdist
 from distutils.command.upload import upload
 
 class UploadWindowsInstallers(upload):
 
     description = "Upload Windows installers to PyPI (only used from tools/release_windows.py)"
     user_options = upload.user_options + [
         ('files=', 'f', 'exe file (or glob) to upload')
     ]
     def initialize_options(self):
         upload.initialize_options(self)
         meta = self.distribution.metadata
         base = '{name}-{version}'.format(
             name=meta.get_name(),
             version=meta.get_version()
         )
         self.files = os.path.join('dist', '%s.*.exe' % base)
 
     def run(self):
         for dist_file in glob(self.files):
             self.upload_file('bdist_wininst', 'any', dist_file)
 
 setup_args['cmdclass'] = {
     'build_py': css_js_prerelease(
             check_package_data_first(git_prebuild('IPython'))),
     'sdist' : css_js_prerelease(git_prebuild('IPython', sdist)),
     'upload_wininst' : UploadWindowsInstallers,
     'submodule' : UpdateSubmodules,
     'css' : CompileCSS,
     'symlink': install_symlinked,
     'install_lib_symlink': install_lib_symlink,
     'install_scripts_sym': install_scripts_for_symlink,
     'unsymlink': unsymlink,
     'jsversion' : JavascriptVersion,
 }
 
 #---------------------------------------------------------------------------
 # Handle scripts, dependencies, and setuptools specific things
 #---------------------------------------------------------------------------
 
 # For some commands, use setuptools.  Note that we do NOT list install here!
 # If you want a setuptools-enhanced install, just run 'setupegg.py install'
 needs_setuptools = set(('develop', 'release', 'bdist_egg', 'bdist_rpm',
            'bdist', 'bdist_dumb', 'bdist_wininst', 'bdist_wheel',
            'egg_info', 'easy_install', 'upload', 'install_egg_info',
             ))
 
 if len(needs_setuptools.intersection(sys.argv)) > 0:
     import setuptools
 
 # This dict is used for passing extra arguments that are setuptools
 # specific to setup
 setuptools_extra_args = {}
 
 # setuptools requirements
 
 pyzmq = 'pyzmq>=13'
 
 extras_require = dict(
     parallel = [pyzmq],
     qtconsole = [pyzmq, 'pygments'],
     doc = ['Sphinx>=1.1', 'numpydoc'],
     test = ['nose>=0.10.1', 'requests'],
     terminal = [],
     nbformat = ['jsonschema>=2.0'],
     notebook = ['tornado>=4.0', pyzmq, 'jinja2', 'pygments', 'mistune>=0.5'],
     nbconvert = ['pygments', 'jinja2', 'mistune>=0.3.1']
 )
 
 if not sys.platform.startswith('win'):
     extras_require['notebook'].append('terminado>=0.3.3')
 
 if sys.version_info < (3, 3):
     extras_require['test'].append('mock')
 
 extras_require['notebook'].extend(extras_require['nbformat'])
 extras_require['nbconvert'].extend(extras_require['nbformat'])
 
 install_requires = [
     'decorator',
     'path.py', # required by pickleshare, remove when pickleshare is added here
+    'simplegeneric>0.8',
 ]
 
 # add platform-specific dependencies
 if sys.platform == 'darwin':
     install_requires.append('appnope')
     if 'bdist_wheel' in sys.argv[1:] or not setupext.check_for_readline():
         install_requires.append('gnureadline')
 
 if sys.platform.startswith('win'):
     extras_require['terminal'].append('pyreadline>=2.0')
 else:
     install_requires.append('pexpect')
 
 everything = set()
 for deps in extras_require.values():
     everything.update(deps)
 extras_require['all'] = everything
 
 if 'setuptools' in sys.modules:
     # setup.py develop should check for submodules
     from setuptools.command.develop import develop
     setup_args['cmdclass']['develop'] = require_submodules(develop)
     setup_args['cmdclass']['bdist_wheel'] = css_js_prerelease(get_bdist_wheel())
     
     setuptools_extra_args['zip_safe'] = False
     setuptools_extra_args['entry_points'] = {
         'console_scripts': find_entry_points(),
         'pygments.lexers': [
             'ipythonconsole = IPython.lib.lexers:IPythonConsoleLexer',
             'ipython = IPython.lib.lexers:IPythonLexer',
             'ipython3 = IPython.lib.lexers:IPython3Lexer',
         ],
     }
     setup_args['extras_require'] = extras_require
     requires = setup_args['install_requires'] = install_requires
 
     # Script to be run by the windows binary installer after the default setup
     # routine, to add shortcuts and similar windows-only things.  Windows
     # post-install scripts MUST reside in the scripts/ dir, otherwise distutils
     # doesn't find them.
     if 'bdist_wininst' in sys.argv:
         if len(sys.argv) > 2 and \
                ('sdist' in sys.argv or 'bdist_rpm' in sys.argv):
             print("ERROR: bdist_wininst must be run alone. Exiting.", file=sys.stderr)
             sys.exit(1)
         setup_args['data_files'].append(
             ['Scripts', ('scripts/ipython.ico', 'scripts/ipython_nb.ico')])
         setup_args['scripts'] = [pjoin('scripts','ipython_win_post_install.py')]
         setup_args['options'] = {"bdist_wininst":
                                  {"install_script":
                                   "ipython_win_post_install.py"}}
 
 else:
     # If we are installing without setuptools, call this function which will
     # check for dependencies an inform the user what is needed.  This is
     # just to make life easy for users.
     for install_cmd in ('install', 'symlink'):
         if install_cmd in sys.argv:
             check_for_dependencies()
             break
     # scripts has to be a non-empty list, or install_scripts isn't called
     setup_args['scripts'] = [e.split('=')[0].strip() for e in find_entry_points()]
 
     setup_args['cmdclass']['build_scripts'] = build_scripts_entrypt
 
 #---------------------------------------------------------------------------
 # Do the actual setup now
 #---------------------------------------------------------------------------
 
 setup_args.update(setuptools_extra_args)
 
 def main():
     setup(**setup_args)
 
 if __name__ == '__main__':
     main()