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diff --git a/numpy/doc/example.py b/numpy/doc/example.py
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-"""This is the docstring for the example.py module.  Modules names should
-have short, all-lowercase names.  The module name may have underscores if
-this improves readability.
-
-Every module should have a docstring at the very top of the file.  The
-module's docstring may extend over multiple lines.  If your docstring does
-extend over multiple lines, the closing three quotation marks must be on
-a line by itself, preferably preceeded by a blank line.
-
-"""
-import os # standard library imports first
-
-# Do NOT import using *, e.g. from numpy import *
-#
-# Import the module using
-#
-#   import numpy
-#
-# instead or import individual functions as needed, e.g
-#
-#  from numpy import array, zeros
-#
-# If you prefer the use of abbreviated module names, we suggest the
-# convention used by NumPy itself::
-
-import numpy as np
-import scipy as sp
-import matplotlib as mpl
-import matplotlib.pyplot as plt
-
-# These abbreviated names are not to be used in docstrings; users must
-# be able to paste and execute docstrings after importing only the
-# numpy module itself, unabbreviated.
-
-from my_module import my_func, other_func
-
-def foo(var1, var2, long_var_name='hi') :
-    """A one-line summary that does not use variable names or the
-    function name.
-
-    Several sentences providing an extended description. Refer to
-    variables using back-ticks, e.g. `var`.
-
-    Parameters
-    ----------
-    var1 : array_like
-        Array_like means all those objects -- lists, nested lists, etc. --
-        that can be converted to an array.  We can also refer to
-        variables like `var1`.
-    var2 : int
-        The type above can either refer to an actual Python type
-        (e.g. ``int``), or describe the type of the variable in more
-        detail, e.g. ``(N,) ndarray`` or ``array_like``.
-    Long_variable_name : {'hi', 'ho'}, optional
-        Choices in brackets, default first when optional.
-
-    Returns
-    -------
-    describe : type
-        Explanation
-    output
-        Explanation
-    tuple
-        Explanation
-    items
-        even more explaining
-
-    Other Parameters
-    ----------------
-    only_seldom_used_keywords : type
-        Explanation
-    common_parameters_listed_above : type
-        Explanation
-
-    Raises
-    ------
-    BadException
-        Because you shouldn't have done that.
-
-    See Also
-    --------
-    otherfunc : relationship (optional)
-    newfunc : Relationship (optional), which could be fairly long, in which
-              case the line wraps here.
-    thirdfunc, fourthfunc, fifthfunc
-
-    Notes
-    -----
-    Notes about the implementation algorithm (if needed).
-
-    This can have multiple paragraphs.
-
-    You may include some math:
-
-    .. math:: X(e^{j\omega } ) = x(n)e^{ - j\omega n}
-
-    And even use a greek symbol like :math:`omega` inline.
-
-    References
-    ----------
-    Cite the relevant literature, e.g. [1]_.  You may also cite these
-    references in the notes section above.
-
-    .. [1] O. McNoleg, "The integration of GIS, remote sensing,
-       expert systems and adaptive co-kriging for environmental habitat
-       modelling of the Highland Haggis using object-oriented, fuzzy-logic
-       and neural-network techniques," Computers & Geosciences, vol. 22,
-       pp. 585-588, 1996.
-
-    Examples
-    --------
-    These are written in doctest format, and should illustrate how to
-    use the function.
-
-    >>> a=[1,2,3]
-    >>> print [x + 3 for x in a]
-    [4, 5, 6]
-    >>> print "a\n\nb"
-    a
-    <BLANKLINE>
-    b
-
-    """
-
-    pass