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Base classes for all front-end plugins.
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    Return the number of entries in an entry. This is primarly for the
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    Base class for plugins that have `Param` `NameSpace` attributes.

    Subclasses of `HasParam` will on one or more attributes store `NameSpace`
    instances containing zero or more `Param` instances.  These parameters might
    describe, for example, the arguments and options a command takes, or the
    attributes an LDAP entry can include, or whatever else the subclass sees
    fit.

    Although the interface a subclass must implement is very simple, it must
    conform to a specific naming convention: if you want a namespace
    ``SubClass.foo``, you must define a ``Subclass.takes_foo`` attribute and a
    ``SubCLass.get_foo()`` method, and you may optionally define a
    ``SubClass.check_foo()`` method.


    A quick big-picture example
    ===========================

    Say you want the ``options`` instance attribute on your subclass to be a
    `Param` `NameSpace`... then according to the enforced naming convention,
    your subclass must define a ``takes_options`` attribute and a
    ``get_options()`` method.  For example:

    >>> from ipalib import Str, Int
    >>> class Example(HasParam):
    ...
    ...     options = None  # This will be replaced with your namespace
    ...
    ...     takes_options = (Str('one'), Int('two'))
    ...
    ...     def get_options(self):
    ...         return self._get_param_iterable('options')
    ...
    >>> eg = Example()

    The ``Example.takes_options`` attribute is a ``tuple`` defining the
    parameters you want your ``Example.options`` namespace to contain.  Your
    ``Example.takes_options`` attribute will be accessed via
    `HasParam._get_param_iterable()`, which, among other things, enforces the
    ``('takes_' + name)`` naming convention.  For example:

    >>> eg._get_param_iterable('options')
    (Str('one'), Int('two'))

    The ``Example.get_options()`` method simply returns
    ``Example.takes_options`` by calling `HasParam._get_param_iterable()`.  Your
    ``Example.get_options()`` method will be called via
    `HasParam._filter_param_by_context()`, which, among other things, enforces
    the ``('get_' + name)`` naming convention.  For example:

    >>> list(eg._filter_param_by_context('options'))
    [Str('one'), Int('two')]

    At this point, the ``eg.options`` instance attribute is still ``None``:

    >>> eg.options is None
    True

    `HasParam._create_param_namespace()` will create the ``eg.options``
    namespace from the parameters yielded by
    `HasParam._filter_param_by_context()`.  For example:

    >>> eg._create_param_namespace('options')
    >>> eg.options
    NameSpace(<2 members>, sort=False)
    >>> list(eg.options)  # Like dict.__iter__()
    ['one', 'two']

    Your subclass can optionally define a ``check_options()`` method to perform
    sanity checks.  If it exists, the ``check_options()`` method is called by
    `HasParam._create_param_namespace()` with a single value, the `NameSpace`
    instance it created.  For example:

    >>> class Example2(Example):
    ...
    ...     def check_options(self, namespace):
    ...         for param in namespace():  # Like dict.itervalues()
    ...             if param.name == 'three':
    ...                 raise ValueError("I dislike the param 'three'")
    ...         print '  ** Looks good! **'  # Note output below
    ...
    >>> eg = Example2()
    >>> eg._create_param_namespace('options')
      ** Looks good! **
    >>> eg.options
    NameSpace(<2 members>, sort=False)

    However, if we subclass again and add a `Param` named ``'three'``:

    >>> class Example3(Example2):
    ...
    ...     takes_options = (Str('one'), Int('two'), Str('three'))
    ...
    >>> eg = Example3()
    >>> eg._create_param_namespace('options')
    Traceback (most recent call last):
      ...
    ValueError: I dislike the param 'three'
    >>> eg.options is None  # eg.options was not set
    True


    The Devil and the details
    =========================

    In the above example, ``takes_options`` is a ``tuple``, but it can also be
    a param spec (see `create_param()`), or a callable that returns an iterable
    containing one or more param spec.  Regardless of how ``takes_options`` is
    defined, `HasParam._get_param_iterable()` will return a uniform iterable,
    conveniently hiding the details.

    The above example uses the simplest ``get_options()`` method possible, but
    you could instead implement a ``get_options()`` method that would, for
    example, produce (or withhold) certain parameters based on the whether
    certain plugins are loaded.

    Think of ``takes_options`` as declarative, a simple definition of *what*
    parameters should be included in the namespace.  You should only implement
    a ``takes_options()`` method if a `Param` must reference attributes on your
    plugin instance (for example, for validation rules); you should not use a
    ``takes_options()`` method to filter the parameters or add any other
    procedural behaviour.

    On the other hand, think of the ``get_options()`` method as imperative, a
    procedure for *how* the parameters should be created and filtered.  In the
    example above the *how* just returns the *what* unchanged, but arbitrary
    logic can be implemented in the ``get_options()`` method.  For example, you
    might filter certain parameters from ``takes_options`` base on some
    criteria, or you might insert additional parameters provided by other
    plugins.

    The typical use case for using ``get_options()`` this way is to procedurally
    generate the arguments and options for all the CRUD commands operating on a
    specific LDAP object: the `Object` plugin defines the possible LDAP entry
    attributes (as `Param`), and then the CRUD commands intelligently build
    their ``args`` and ``options`` namespaces based on which attribute is the
    primary key.  In this way new LDAP attributes (aka parameters) can be added
    to the single point of definition (the `Object` plugin), and all the
    corresponding CRUD commands pick up these new parameters without requiring
    modification.  For an example of how this is done, see the
    `ipalib.crud.Create` base class.

    However, there is one type of filtering you should not implement in your
    ``get_options()`` method, because it's already provided at a higher level:
    you should not filter parameters based on the value of ``api.env.context``
    nor (preferably) on any values in ``api.env``.
    `HasParam._filter_param_by_context()` already does this by calling
    `Param.use_in_context()` for each parameter.  Although the base
    `Param.use_in_context()` implementation makes a decision solely on the value
    of ``api.env.context``, subclasses can override this with implementations
    that consider arbitrary ``api.env`` values.
    F�takescCsp|d|}t||d�}t|�tur(|St|ttf�r<|fSt|�rJ|�S|durXt�Std|j||f��dS)a�
        Return an iterable of params defined by the attribute named ``name``.

        A sequence of params can be defined one of three ways: as a ``tuple``;
        as a callable that returns an iterable; or as a param spec (a `Param` or
        ``str`` instance).  This method returns a uniform iterable regardless of
        how the param sequence was defined.

        For example, when defined with a tuple:

        >>> class ByTuple(HasParam):
        ...     takes_args = (Param('foo'), Param('bar'))
        ...
        >>> by_tuple = ByTuple()
        >>> list(by_tuple._get_param_iterable('args'))
        [Param('foo'), Param('bar')]

        Or you can define your param sequence with a callable when you need to
        reference attributes on your plugin instance (for validation rules,
        etc.).  For example:

        >>> class ByCallable(HasParam):
        ...     def takes_args(self):
        ...         yield Param('foo', self.validate_foo)
        ...         yield Param('bar', self.validate_bar)
        ...
        ...     def validate_foo(self, _, value, **kw):
        ...         if value != 'Foo':
        ...             return _("must be 'Foo'")
        ...
        ...     def validate_bar(self, _, value, **kw):
        ...         if value != 'Bar':
        ...             return _("must be 'Bar'")
        ...
        >>> by_callable = ByCallable()
        >>> list(by_callable._get_param_iterable('args'))
        [Param('foo', validate_foo), Param('bar', validate_bar)]

        Lastly, as a convenience for when a param sequence contains a single
        param, your defining attribute may a param spec (either a `Param`
        or an ``str`` instance).  For example:

        >>> class BySpec(HasParam):
        ...     takes_args = Param('foo')
        ...     takes_options = 'bar?'
        ...
        >>> by_spec = BySpec()
        >>> list(by_spec._get_param_iterable('args'))
        [Param('foo')]
        >>> list(by_spec._get_param_iterable('options'))
        ['bar?']

        For information on how an ``str`` param spec is interpreted, see the
        `create_param()` and `parse_param_spec()` functions in the
        `ipalib.parameters` module.

        Also see `HasParam._filter_param_by_context()`.
        rNz0%s.%s must be a tuple, callable, or spec; got %r)	r(r*�tuple�
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        Filter params on attribute named ``name`` by environment ``env``.

        For example:

        >>> from ipalib.config import Env
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        ...
        ...     takes_args = (
        ...         Str('foo_only', include=['foo']),
        ...         Str('not_bar', exclude=['bar']),
        ...         'both',
        ...     )
        ...
        ...     def get_args(self):
        ...         return self._get_param_iterable('args')
        ...
        ...
        >>> eg = Example()
        >>> foo = Env(context='foo')
        >>> bar = Env(context='bar')
        >>> another = Env(context='another')
        >>> (foo.context, bar.context, another.context)
        (u'foo', u'bar', u'another')
        >>> list(eg._filter_param_by_context('args', foo))
        [Str('foo_only', include=['foo']), Str('not_bar', exclude=['bar']), Str('both')]
        >>> list(eg._filter_param_by_context('args', bar))
        [Str('both')]
        >>> list(eg._filter_param_by_context('args', another))
        [Str('not_bar', exclude=['bar']), Str('both')]
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    A public IPA atomic operation.

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    >>> from ipalib import create_api
    >>> api = create_api()
    >>> class my_command(Command):
    ...     pass
    ...
    >>> api.add_plugin(my_command)
    >>> api.finalize()
    >>> list(api.Command)
    [<class '__main__.my_command'>]
    >>> api.Command.my_command # doctest:+ELLIPSIS
    ipalib.frontend.my_command()

    This class's subclasses allow different types of callbacks to be added and
    removed to them.
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        logging.  Logging the exact call is extremely useful, but we obviously
        don't want to log the cleartext password.

        For example:

        >>> class my_cmd(Command):
        ...     takes_args = ('login',)
        ...     takes_options=(Password('passwd'),)
        ...
        >>> c = my_cmd()
        >>> c.finalize()
        >>> list(c._repr_iter(login=u'Okay.', passwd=u'Private!'))
        ["u'Okay.'", "passwd=u'********'"]
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        ...         Param('last'),
        ...     )
        ...
        >>> c = my_command()
        >>> c.finalize()
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        {'last': u'DOE', 'first': u'john'}
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        ...         Int('one'),
        ...         'two',
        ...     )
        ...
        >>> c = my_command()
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        {'two': u'2', 'one': 1}
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        ...
        >>> c = my_command()
        >>> c.finalize()
        >>> c.get_default()
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