"""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.

    """

def foo(var1, var2, long_var_name='hi'):
    r"""Summarize the function in one line.

    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`.
    type_without_description

    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
    --------
    numpy.array : Relationship (optional).
    numpy.ndarray : Relationship (optional), which could be fairly long, in
                    which case the line wraps here.
    numpy.dot, numpy.linalg.norm, numpy.eye

    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\nb")
    a
    b
    """
    # After closing class docstring, there should be one blank line to
    # separate following codes (according to PEP257).
    # But for function, method and module, there should be no blank lines
    # after closing the docstring.
    pass


class ExampleDocString(object):
    r"""A one-line summary that does not use variable names.

    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`.
    type_without_description

    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
    --------
    numpy.array : Relationship (optional).
    numpy.ndarray : Relationship (optional), which could be fairly long, in
                    which case the line wraps here.
    numpy.dot, numpy.linalg.norm, numpy.eye

    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\nb")
    a
    b

    """

    def method(self):
        """A one-line summary that does not use variable names."""
        pass