content: """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 preceded by a blank line.
  
  """
  from __future__ import division, absolute_import, print_function
  
  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 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'):
      r"""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_var_name : {'hi', 'ho'}, optional
          Choices in brackets, default first when optional.
  
      Returns
      -------
      type
          Explanation of anonymous return value of type ``type``.
      describe : type
          Explanation of return value named `describe`.
      out : type
          Explanation of `out`.
  
      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
      b
  
      """
  
      pass
  