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    class for security purposes!

    The point of this class is not to make it impossible to set or to delete
    attributes after an instance is locked, but to make it impossible to do so
    *accidentally*.  Rather than constantly reminding our programmers of things
    like, for example, "Don't set any attributes on this ``FooBar`` instance
    because doing so wont be thread-safe", this class offers a real way to
    enforce read-only attribute usage.

    For example, before a `ReadOnly` instance is locked, you can set and delete
    its attributes as normal:

    >>> class Person(ReadOnly):
    ...     pass
    ...
    >>> p = Person()
    >>> p.name = 'John Doe'
    >>> p.phone = '123-456-7890'
    >>> del p.phone

    But after an instance is locked, you cannot set its attributes:

    >>> p.__islocked__()  # Is this instance locked?
    False
    >>> p.__lock__()  # This will lock the instance
    >>> p.__islocked__()
    True
    >>> p.department = 'Engineering'
    Traceback (most recent call last):
      ...
    AttributeError: locked: cannot set Person.department to 'Engineering'

    Nor can you deleted its attributes:

    >>> del p.name
    Traceback (most recent call last):
      ...
    AttributeError: locked: cannot delete Person.name

    However, as noted at the start, there are still obscure ways in which
    attributes can be set or deleted on a locked `ReadOnly` instance.  For
    example:

    >>> object.__setattr__(p, 'department', 'Engineering')
    >>> p.department
    'Engineering'
    >>> object.__delattr__(p, 'name')
    >>> hasattr(p, 'name')
    False

    But again, the point is that a programmer would never employ the above
    techniques *accidentally*.

    Lastly, this example aside, you should use the `lock()` function rather
    than the `ReadOnly.__lock__()` method.  And likewise, you should
    use the `islocked()` function rather than the `ReadOnly.__islocked__()`
    method.  For example:

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    So that this function can be easily used within an assignment, ``instance``
    is returned after it is locked.  For example:

    >>> readonly = ReadOnly()
    >>> readonly is lock(readonly)
    True
    >>> readonly.attr = 'This wont work'
    Traceback (most recent call last):
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    AttributeError: locked: cannot set ReadOnly.attr to 'This wont work'

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    >>> islocked(readonly)
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    >>> readonly.__lock__()
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    raised.

    This function will raise a ``ValueError`` if ``name`` does not match the
    `constants.NAME_REGEX` regular expression.  For example:

    >>> check_name('MyName')
    Traceback (most recent call last):
      ...
    ValueError: name must match '^[a-z][_a-z0-9]*[a-z0-9]$|^[a-z]$'; got 'MyName'

    Also, this function will raise a ``TypeError`` if ``name`` is not an
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    >>> check_name(u'my_name')
    Traceback (most recent call last):
      ...
    TypeError: name: need a <type 'str'>; got u'my_name' (a <type 'unicode'>)

    So that `check_name()` can be easily used within an assignment, ``name``
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    with a ``name`` attribute whose value:

        1. Is unique among the members

        2. Passes the `check_name()` function

    Beyond that, no restrictions are placed on the members: they can be
    classes or instances, and of any type.

    The members can be accessed as attributes on the `NameSpace` instance or
    through a dictionary interface.  For example, say we create a `NameSpace`
    instance from a list containing a single member, like this:

    >>> class my_member:
    ...     name = 'my_name'
    ...
    >>> namespace = NameSpace([my_member])
    >>> namespace
    NameSpace(<1 member>, sort=True)

    We can then access ``my_member`` both as an attribute and as a dictionary
    item:

    >>> my_member is namespace.my_name  # As an attribute
    True
    >>> my_member is namespace['my_name']  # As dictionary item
    True

    For a more detailed example, say we create a `NameSpace` instance from a
    generator like this:

    >>> class Member:
    ...     def __init__(self, i):
    ...         self.i = i
    ...         self.name = self.__name__ = 'member%d' % i
    ...     def __repr__(self):
    ...         return 'Member(%d)' % self.i
    ...
    >>> ns = NameSpace(Member(i) for i in range(3))
    >>> ns
    NameSpace(<3 members>, sort=True)

    As above, the members can be accessed as attributes and as dictionary items:

    >>> ns.member0 is ns['member0']
    True
    >>> ns.member1 is ns['member1']
    True
    >>> ns.member2 is ns['member2']
    True

    Members can also be accessed by index and by slice.  For example:

    >>> ns[0]
    Member(0)
    >>> ns[-1]
    Member(2)
    >>> ns[1:]
    (Member(1), Member(2))

    (Note that slicing a `NameSpace` returns a ``tuple``.)

    `NameSpace` instances provide standard container emulation for membership
    testing, counting, and iteration.  For example:

    >>> 'member3' in ns  # Is there a member named 'member3'?
    False
    >>> 'member2' in ns  # But there is a member named 'member2'
    True
    >>> len(ns)  # The number of members
    3
    >>> list(ns)  # Iterate through the member names
    ['member0', 'member1', 'member2']

    Although not a standard container feature, the `NameSpace.__call__()` method
    provides a convenient (and efficient) way to iterate through the *members*
    (as opposed to the member names).  Think of it like an ordered version of
    the ``dict.itervalues()`` method.  For example:

    >>> list(ns[name] for name in ns)  # One way to do it
    [Member(0), Member(1), Member(2)]
    >>> list(ns())  # A more efficient, simpler way to do it
    [Member(0), Member(1), Member(2)]

    Another convenience method is `NameSpace.__todict__()`, which will return
    a copy of the ``dict`` mapping the member names to the members.
    For example:

    >>> ns.__todict__()
    {'member1': Member(1), 'member0': Member(0), 'member2': Member(2)}

    As `NameSpace.__init__()` locks the instance, `NameSpace` instances are
    read-only from the get-go.  An ``AttributeError`` is raised if you try to
    set *any* attribute on a `NameSpace` instance.  For example:

    >>> ns.member3 = Member(3)  # Lets add that missing 'member3'
    Traceback (most recent call last):
        ...
    AttributeError: locked: cannot set NameSpace.member3 to Member(3)

    (For information on the locking protocol, see the `ReadOnly` class, of which
    `NameSpace` is a subclass.)

    By default the members will be sorted alphabetically by the member name.
    For example:

    >>> sorted_ns = NameSpace([Member(7), Member(3), Member(5)])
    >>> sorted_ns
    NameSpace(<3 members>, sort=True)
    >>> list(sorted_ns)
    ['member3', 'member5', 'member7']
    >>> sorted_ns[0]
    Member(3)

    But if the instance is created with the ``sort=False`` keyword argument, the
    original order of the members is preserved.  For example:

    >>> unsorted_ns = NameSpace([Member(7), Member(3), Member(5)], sort=False)
    >>> unsorted_ns
    NameSpace(<3 members>, sort=False)
    >>> list(unsorted_ns)
    ['member7', 'member3', 'member5']
    >>> unsorted_ns[0]
    Member(7)

    As a special extension, NameSpace objects can be indexed by objects that
    have a "__name__" attribute (e.g. classes). These lookups are converted
    to lookups on the name:

    >>> class_ns = NameSpace([Member(7), Member(3), Member(5)], sort=False)
    >>> unsorted_ns[Member(3)]
    Member(3)

    The `NameSpace` class is used in many places throughout freeIPA.  For a few
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