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# Source code for astropy.coordinates.baseframe

    # Licensed under a 3-clause BSD style license - see LICENSE.rst
    """
    Framework and base classes for coordinate frames/"low-level" coordinate
    classes.
    """

    # Standard library
    import copy
    import inspect
    import warnings
    from collections import defaultdict, namedtuple

    # Dependencies
    import numpy as np

    from astropy import units as u
    from astropy.utils import ShapedLikeNDArray, check_broadcast

    # Project
    from astropy.utils.decorators import deprecated, format_doc, lazyproperty
    from astropy.utils.exceptions import AstropyDeprecationWarning, AstropyWarning

    from . import representation as r
    from .angles import Angle
    from .attributes import Attribute
    from .transformations import TransformGraph

    __all__ = [
        "BaseCoordinateFrame",
        "frame_transform_graph",
        "GenericFrame",
        "RepresentationMapping",
    ]

    # the graph used for all transformations between frames
    frame_transform_graph = TransformGraph()

    def _get_repr_cls(value):
        """
        Return a valid representation class from ``value`` or raise exception.
        """

        if value in r.REPRESENTATION_CLASSES:
            value = r.REPRESENTATION_CLASSES[value]
        elif not isinstance(value, type) or not issubclass(value, r.BaseRepresentation):
            raise ValueError(
                f"Representation is {value!r} but must be a BaseRepresentation class "
                f"or one of the string aliases {list(r.REPRESENTATION_CLASSES)}"
            )
        return value

    def _get_diff_cls(value):
        """
        Return a valid differential class from ``value`` or raise exception.

        As originally created, this is only used in the SkyCoord initializer, so if
        that is refactored, this function my no longer be necessary.
        """

        if value in r.DIFFERENTIAL_CLASSES:
            value = r.DIFFERENTIAL_CLASSES[value]
        elif not isinstance(value, type) or not issubclass(value, r.BaseDifferential):
            raise ValueError(
                f"Differential is {value!r} but must be a BaseDifferential class "
                f"or one of the string aliases {list(r.DIFFERENTIAL_CLASSES)}"
            )
        return value

    def _get_repr_classes(base, **differentials):
        """Get valid representation and differential classes.

        Parameters
        ----------
        base : str or `~astropy.coordinates.BaseRepresentation` subclass
            class for the representation of the base coordinates.  If a string,
            it is looked up among the known representation classes.
        **differentials : dict of str or `~astropy.coordinates.BaseDifferentials`
            Keys are like for normal differentials, i.e., 's' for a first
            derivative in time, etc.  If an item is set to `None`, it will be
            guessed from the base class.

        Returns
        -------
        repr_classes : dict of subclasses
            The base class is keyed by 'base'; the others by the keys of
            ``diffferentials``.
        """
        base = _get_repr_cls(base)
        repr_classes = {"base": base}

        for name, differential_type in differentials.items():
            if differential_type == "base":
                # We don't want to fail for this case.
                differential_type = r.DIFFERENTIAL_CLASSES.get(base.get_name(), None)

            elif differential_type in r.DIFFERENTIAL_CLASSES:
                differential_type = r.DIFFERENTIAL_CLASSES[differential_type]

            elif differential_type is not None and (
                not isinstance(differential_type, type)
                or not issubclass(differential_type, r.BaseDifferential)
            ):
                raise ValueError(
                    "Differential is {differential_type!r} but must be a BaseDifferential"
                    f" class or one of the string aliases {list(r.DIFFERENTIAL_CLASSES)}"
                )
            repr_classes[name] = differential_type
        return repr_classes

    _RepresentationMappingBase = namedtuple(
        "RepresentationMapping", ("reprname", "framename", "defaultunit")
    )

    class RepresentationMapping(_RepresentationMappingBase):
        """
        This `~collections.namedtuple` is used with the
        ``frame_specific_representation_info`` attribute to tell frames what
        attribute names (and default units) to use for a particular representation.
        ``reprname`` and ``framename`` should be strings, while ``defaultunit`` can
        be either an astropy unit, the string ``'recommended'`` (which is degrees
        for Angles, nothing otherwise), or None (to indicate that no unit mapping
        should be done).
        """

        def __new__(cls, reprname, framename, defaultunit="recommended"):
            # this trick just provides some defaults
            return super().__new__(cls, reprname, framename, defaultunit)

    base_doc = """{__doc__}
        Parameters
        ----------
        data : `~astropy.coordinates.BaseRepresentation` subclass instance
            A representation object or ``None`` to have no data (or use the
            coordinate component arguments, see below).
        {components}
        representation_type : `~astropy.coordinates.BaseRepresentation` subclass, str, optional
            A representation class or string name of a representation class. This
            sets the expected input representation class, thereby changing the
            expected keyword arguments for the data passed in. For example, passing
            ``representation_type='cartesian'`` will make the classes expect
            position data with cartesian names, i.e. ``x, y, z`` in most cases
            unless overridden via ``frame_specific_representation_info``. To see this
            frame's names, check out ``<this frame>().representation_info``.
        differential_type : `~astropy.coordinates.BaseDifferential` subclass, str, dict, optional
            A differential class or dictionary of differential classes (currently
            only a velocity differential with key 's' is supported). This sets the
            expected input differential class, thereby changing the expected keyword
            arguments of the data passed in. For example, passing
            ``differential_type='cartesian'`` will make the classes expect velocity
            data with the argument names ``v_x, v_y, v_z`` unless overridden via
            ``frame_specific_representation_info``. To see this frame's names,
            check out ``<this frame>().representation_info``.
        copy : bool, optional
            If `True` (default), make copies of the input coordinate arrays.
            Can only be passed in as a keyword argument.
        {footer}
    """

    _components = """
        *args, **kwargs
            Coordinate components, with names that depend on the subclass.
    """

    @format_doc(base_doc, components=_components, footer="")
    class BaseCoordinateFrame(ShapedLikeNDArray):
        """
        The base class for coordinate frames.

        This class is intended to be subclassed to create instances of specific
        systems.  Subclasses can implement the following attributes:

        * `default_representation`
            A subclass of `~astropy.coordinates.BaseRepresentation` that will be
            treated as the default representation of this frame.  This is the
            representation assumed by default when the frame is created.

        * `default_differential`
            A subclass of `~astropy.coordinates.BaseDifferential` that will be
            treated as the default differential class of this frame.  This is the
            differential class assumed by default when the frame is created.

        * `~astropy.coordinates.Attribute` class attributes
           Frame attributes such as ``FK4.equinox`` or ``FK4.obstime`` are defined
           using a descriptor class.  See the narrative documentation or
           built-in classes code for details.

        * `frame_specific_representation_info`
            A dictionary mapping the name or class of a representation to a list of
            `~astropy.coordinates.RepresentationMapping` objects that tell what
            names and default units should be used on this frame for the components
            of that representation.

        Unless overridden via `frame_specific_representation_info`, velocity name
        defaults are:

          * ``pm_{lon}_cos{lat}``, ``pm_{lat}`` for `~astropy.coordinates.SphericalCosLatDifferential` velocity components
          * ``pm_{lon}``, ``pm_{lat}`` for `~astropy.coordinates.SphericalDifferential` velocity components
          * ``radial_velocity`` for any ``d_distance`` component
          * ``v_{x,y,z}`` for `~astropy.coordinates.CartesianDifferential` velocity components

        where ``{lon}`` and ``{lat}`` are the frame names of the angular components.
        """

        default_representation = None
        default_differential = None

        # Specifies special names and units for representation and differential
        # attributes.
        frame_specific_representation_info = {}

        frame_attributes = {}
        # Default empty frame_attributes dict

        def __init_subclass__(cls, **kwargs):
            # We first check for explicitly set values for these:
            default_repr = getattr(cls, "default_representation", None)
            default_diff = getattr(cls, "default_differential", None)
            repr_info = getattr(cls, "frame_specific_representation_info", None)
            # Then, to make sure this works for subclasses-of-subclasses, we also
            # have to check for cases where the attribute names have already been
            # replaced by underscore-prefaced equivalents by the logic below:
            if default_repr is None or isinstance(default_repr, property):
                default_repr = getattr(cls, "_default_representation", None)

            if default_diff is None or isinstance(default_diff, property):
                default_diff = getattr(cls, "_default_differential", None)

            if repr_info is None or isinstance(repr_info, property):
                repr_info = getattr(cls, "_frame_specific_representation_info", None)

            repr_info = cls._infer_repr_info(repr_info)

            # Make read-only properties for the frame class attributes that should
            # be read-only to make them immutable after creation.
            # We copy attributes instead of linking to make sure there's no
            # accidental cross-talk between classes
            cls._create_readonly_property(
                "default_representation",
                default_repr,
                "Default representation for position data",
            )
            cls._create_readonly_property(
                "default_differential",
                default_diff,
                "Default representation for differential data (e.g., velocity)",
            )
            cls._create_readonly_property(
                "frame_specific_representation_info",
                copy.deepcopy(repr_info),
                "Mapping for frame-specific component names",
            )

            # Set the frame attributes. We first construct the attributes from
            # superclasses, going in reverse order to keep insertion order,
            # and then add any attributes from the frame now being defined
            # (if any old definitions are overridden, this keeps the order).
            # Note that we cannot simply start with the inherited frame_attributes
            # since we could be a mixin between multiple coordinate frames.
            # TODO: Should this be made to use readonly_prop_factory as well or
            # would it be inconvenient for getting the frame_attributes from
            # classes?
            frame_attrs = {}
            for basecls in reversed(cls.__bases__):
                if issubclass(basecls, BaseCoordinateFrame):
                    frame_attrs.update(basecls.frame_attributes)

            for k, v in cls.__dict__.items():
                if isinstance(v, Attribute):
                    frame_attrs[k] = v

            cls.frame_attributes = frame_attrs

            # Deal with setting the name of the frame:
            if not hasattr(cls, "name"):
                cls.name = cls.__name__.lower()
            elif BaseCoordinateFrame not in cls.__bases__ and cls.name in [
                getattr(base, "name", None) for base in cls.__bases__
            ]:
                # This may be a subclass of a subclass of BaseCoordinateFrame,
                # like ICRS(BaseRADecFrame). In this case, cls.name will have been
                # set by init_subclass
                cls.name = cls.__name__.lower()

            # A cache that *must be unique to each frame class* - it is
            # insufficient to share them with superclasses, hence the need to put
            # them in the meta
            cls._frame_class_cache = {}

            super().__init_subclass__(**kwargs)

            # call this once here to initialize defaults
            # (via FrameAttribute.__get__/convert_input)
            cls.get_frame_attr_defaults()

        def __init__(
            self,
            *args,
            copy=True,
            representation_type=None,
            differential_type=None,
            **kwargs,
        ):
            self._attr_names_with_defaults = []

            self._representation = self._infer_representation(
                representation_type, differential_type
            )
            self._data = self._infer_data(args, copy, kwargs)  # possibly None.

            # Set frame attributes, if any

            values = {}
            for fnm, fdefault in self.get_frame_attr_defaults().items():
                # Read-only frame attributes are defined as FrameAttribute
                # descriptors which are not settable, so set 'real' attributes as
                # the name prefaced with an underscore.

                if fnm in kwargs:
                    value = kwargs.pop(fnm)
                    setattr(self, "_" + fnm, value)
                    # Validate attribute by getting it. If the instance has data,
                    # this also checks its shape is OK. If not, we do it below.
                    values[fnm] = getattr(self, fnm)
                else:
                    setattr(self, "_" + fnm, fdefault)
                    self._attr_names_with_defaults.append(fnm)

            if kwargs:
                raise TypeError(
                    f"Coordinate frame {self.__class__.__name__} got unexpected "
                    f"keywords: {list(kwargs)}"
                )

            # We do ``is None`` because self._data might evaluate to false for
            # empty arrays or data == 0
            if self._data is None:
                # No data: we still need to check that any non-scalar attributes
                # have consistent shapes. Collect them for all attributes with
                # size > 1 (which should be array-like and thus have a shape).
                shapes = {
                    fnm: value.shape
                    for fnm, value in values.items()
                    if getattr(value, "shape", ())
                }
                if shapes:
                    if len(shapes) > 1:
                        try:
                            self._no_data_shape = check_broadcast(*shapes.values())
                        except ValueError as err:
                            raise ValueError(
                                f"non-scalar attributes with inconsistent shapes: {shapes}"
                            ) from err

                        # Above, we checked that it is possible to broadcast all
                        # shapes.  By getting and thus validating the attributes,
                        # we verify that the attributes can in fact be broadcast.
                        for fnm in shapes:
                            getattr(self, fnm)
                    else:
                        self._no_data_shape = shapes.popitem()[1]

                else:
                    self._no_data_shape = ()

            # The logic of this block is not related to the previous one
            if self._data is not None:
                # This makes the cache keys backwards-compatible, but also adds
                # support for having differentials attached to the frame data
                # representation object.
                if "s" in self._data.differentials:
                    # TODO: assumes a velocity unit differential
                    key = (
                        self._data.__class__.__name__,
                        self._data.differentials["s"].__class__.__name__,
                        False,
                    )
                else:
                    key = (self._data.__class__.__name__, False)

                # Set up representation cache.
                self.cache["representation"][key] = self._data

        def _infer_representation(self, representation_type, differential_type):
            if representation_type is None and differential_type is None:
                return {"base": self.default_representation, "s": self.default_differential}

            if representation_type is None:
                representation_type = self.default_representation

            if inspect.isclass(differential_type) and issubclass(
                differential_type, r.BaseDifferential
            ):
                # TODO: assumes the differential class is for the velocity
                # differential
                differential_type = {"s": differential_type}

            elif isinstance(differential_type, str):
                # TODO: assumes the differential class is for the velocity
                # differential
                diff_cls = r.DIFFERENTIAL_CLASSES[differential_type]
                differential_type = {"s": diff_cls}

            elif differential_type is None:
                if representation_type == self.default_representation:
                    differential_type = {"s": self.default_differential}
                else:
                    differential_type = {"s": "base"}  # see set_representation_cls()

            return _get_repr_classes(representation_type, **differential_type)

        def _infer_data(self, args, copy, kwargs):
            # if not set below, this is a frame with no data
            representation_data = None
            differential_data = None

            args = list(args)  # need to be able to pop them
            if args and (isinstance(args[0], r.BaseRepresentation) or args[0] is None):
                representation_data = args.pop(0)  # This can still be None
                if len(args) > 0:
                    raise TypeError(
                        "Cannot create a frame with both a representation object "
                        "and other positional arguments"
                    )

                if representation_data is not None:
                    diffs = representation_data.differentials
                    differential_data = diffs.get("s", None)
                    if (differential_data is None and len(diffs) > 0) or (
                        differential_data is not None and len(diffs) > 1
                    ):
                        raise ValueError(
                            "Multiple differentials are associated with the representation"
                            " object passed in to the frame initializer. Only a single"
                            f" velocity differential is supported. Got: {diffs}"
                        )

            else:
                representation_cls = self.get_representation_cls()
                # Get any representation data passed in to the frame initializer
                # using keyword or positional arguments for the component names
                repr_kwargs = {}
                for nmkw, nmrep in self.representation_component_names.items():
                    if len(args) > 0:
                        # first gather up positional args
                        repr_kwargs[nmrep] = args.pop(0)
                    elif nmkw in kwargs:
                        repr_kwargs[nmrep] = kwargs.pop(nmkw)

                # special-case the Spherical->UnitSpherical if no `distance`

                if repr_kwargs:
                    # TODO: determine how to get rid of the part before the "try" -
                    # currently removing it has a performance regression for
                    # unitspherical because of the try-related overhead.
                    # Also frames have no way to indicate what the "distance" is
                    if repr_kwargs.get("distance", True) is None:
                        del repr_kwargs["distance"]

                    if (
                        issubclass(representation_cls, r.SphericalRepresentation)
                        and "distance" not in repr_kwargs
                    ):
                        representation_cls = representation_cls._unit_representation

                    try:
                        representation_data = representation_cls(copy=copy, **repr_kwargs)
                    except TypeError as e:
                        # this except clause is here to make the names of the
                        # attributes more human-readable.  Without this the names
                        # come from the representation instead of the frame's
                        # attribute names.
                        try:
                            representation_data = representation_cls._unit_representation(
                                copy=copy, **repr_kwargs
                            )
                        except Exception:
                            msg = str(e)
                            names = self.get_representation_component_names()
                            for frame_name, repr_name in names.items():
                                msg = msg.replace(repr_name, frame_name)
                            msg = msg.replace("__init__()", f"{self.__class__.__name__}()")
                            e.args = (msg,)
                            raise e

                # Now we handle the Differential data:
                # Get any differential data passed in to the frame initializer
                # using keyword or positional arguments for the component names
                differential_cls = self.get_representation_cls("s")
                diff_component_names = self.get_representation_component_names("s")
                diff_kwargs = {}
                for nmkw, nmrep in diff_component_names.items():
                    if len(args) > 0:
                        # first gather up positional args
                        diff_kwargs[nmrep] = args.pop(0)
                    elif nmkw in kwargs:
                        diff_kwargs[nmrep] = kwargs.pop(nmkw)

                if diff_kwargs:
                    if (
                        hasattr(differential_cls, "_unit_differential")
                        and "d_distance" not in diff_kwargs
                    ):
                        differential_cls = differential_cls._unit_differential

                    elif len(diff_kwargs) == 1 and "d_distance" in diff_kwargs:
                        differential_cls = r.RadialDifferential

                    try:
                        differential_data = differential_cls(copy=copy, **diff_kwargs)
                    except TypeError as e:
                        # this except clause is here to make the names of the
                        # attributes more human-readable.  Without this the names
                        # come from the representation instead of the frame's
                        # attribute names.
                        msg = str(e)
                        names = self.get_representation_component_names("s")
                        for frame_name, repr_name in names.items():
                            msg = msg.replace(repr_name, frame_name)
                        msg = msg.replace("__init__()", f"{self.__class__.__name__}()")
                        e.args = (msg,)
                        raise

            if len(args) > 0:
                raise TypeError(
                    "{}.__init__ had {} remaining unhandled arguments".format(
                        self.__class__.__name__, len(args)
                    )
                )

            if representation_data is None and differential_data is not None:
                raise ValueError(
                    "Cannot pass in differential component data "
                    "without positional (representation) data."
                )

            if differential_data:
                # Check that differential data provided has units compatible
                # with time-derivative of representation data.
                # NOTE: there is no dimensionless time while lengths can be
                # dimensionless (u.dimensionless_unscaled).
                for comp in representation_data.components:
                    if (diff_comp := f"d_{comp}") in differential_data.components:
                        current_repr_unit = representation_data._units[comp]
                        current_diff_unit = differential_data._units[diff_comp]
                        expected_unit = current_repr_unit / u.s
                        if not current_diff_unit.is_equivalent(expected_unit):
                            for (
                                key,
                                val,
                            ) in self.get_representation_component_names().items():
                                if val == comp:
                                    current_repr_name = key
                                    break
                            for key, val in self.get_representation_component_names(
                                "s"
                            ).items():
                                if val == diff_comp:
                                    current_diff_name = key
                                    break
                            raise ValueError(
                                f'{current_repr_name} has unit "{current_repr_unit}" with'
                                f' physical type "{current_repr_unit.physical_type}", but'
                                f" {current_diff_name} has incompatible unit"
                                f' "{current_diff_unit}" with physical type'
                                f' "{current_diff_unit.physical_type}" instead of the'
                                f' expected "{(expected_unit).physical_type}".'
                            )

                representation_data = representation_data.with_differentials(
                    {"s": differential_data}
                )

            return representation_data

        @classmethod
        def _infer_repr_info(cls, repr_info):
            # Unless overridden via `frame_specific_representation_info`, velocity
            # name defaults are (see also docstring for BaseCoordinateFrame):
            #   * ``pm_{lon}_cos{lat}``, ``pm_{lat}`` for
            #     `SphericalCosLatDifferential` proper motion components
            #   * ``pm_{lon}``, ``pm_{lat}`` for `SphericalDifferential` proper
            #     motion components
            #   * ``radial_velocity`` for any `d_distance` component
            #   * ``v_{x,y,z}`` for `CartesianDifferential` velocity components
            # where `{lon}` and `{lat}` are the frame names of the angular
            # components.
            if repr_info is None:
                repr_info = {}

            # the tuple() call below is necessary because if it is not there,
            # the iteration proceeds in a difficult-to-predict manner in the
            # case that one of the class objects hash is such that it gets
            # revisited by the iteration.  The tuple() call prevents this by
            # making the items iterated over fixed regardless of how the dict
            # changes
            for cls_or_name in tuple(repr_info.keys()):
                if isinstance(cls_or_name, str):
                    # TODO: this provides a layer of backwards compatibility in
                    # case the key is a string, but now we want explicit classes.
                    _cls = _get_repr_cls(cls_or_name)
                    repr_info[_cls] = repr_info.pop(cls_or_name)

            # The default spherical names are 'lon' and 'lat'
            repr_info.setdefault(
                r.SphericalRepresentation,
                [RepresentationMapping("lon", "lon"), RepresentationMapping("lat", "lat")],
            )

            sph_component_map = {
                m.reprname: m.framename for m in repr_info[r.SphericalRepresentation]
            }

            repr_info.setdefault(
                r.SphericalCosLatDifferential,
                [
                    RepresentationMapping(
                        "d_lon_coslat",
                        "pm_{lon}_cos{lat}".format(**sph_component_map),
                        u.mas / u.yr,
                    ),
                    RepresentationMapping(
                        "d_lat", "pm_{lat}".format(**sph_component_map), u.mas / u.yr
                    ),
                    RepresentationMapping("d_distance", "radial_velocity", u.km / u.s),
                ],
            )

            repr_info.setdefault(
                r.SphericalDifferential,
                [
                    RepresentationMapping(
                        "d_lon", "pm_{lon}".format(**sph_component_map), u.mas / u.yr
                    ),
                    RepresentationMapping(
                        "d_lat", "pm_{lat}".format(**sph_component_map), u.mas / u.yr
                    ),
                    RepresentationMapping("d_distance", "radial_velocity", u.km / u.s),
                ],
            )

            repr_info.setdefault(
                r.CartesianDifferential,
                [
                    RepresentationMapping("d_x", "v_x", u.km / u.s),
                    RepresentationMapping("d_y", "v_y", u.km / u.s),
                    RepresentationMapping("d_z", "v_z", u.km / u.s),
                ],
            )

            # Unit* classes should follow the same naming conventions
            # TODO: this adds some unnecessary mappings for the Unit classes, so
            # this could be cleaned up, but in practice doesn't seem to have any
            # negative side effects
            repr_info.setdefault(
                r.UnitSphericalRepresentation, repr_info[r.SphericalRepresentation]
            )

            repr_info.setdefault(
                r.UnitSphericalCosLatDifferential, repr_info[r.SphericalCosLatDifferential]
            )

            repr_info.setdefault(
                r.UnitSphericalDifferential, repr_info[r.SphericalDifferential]
            )

            return repr_info

        @classmethod
        def _create_readonly_property(cls, attr_name, value, doc=None):
            private_attr = "_" + attr_name

            def getter(self):
                return getattr(self, private_attr)

            setattr(cls, private_attr, value)
            setattr(cls, attr_name, property(getter, doc=doc))

        @lazyproperty
        def cache(self):
            """
            Cache for this frame, a dict.  It stores anything that should be
            computed from the coordinate data (*not* from the frame attributes).
            This can be used in functions to store anything that might be
            expensive to compute but might be re-used by some other function.
            E.g.::

                if 'user_data' in myframe.cache:
                    data = myframe.cache['user_data']
                else:
                    myframe.cache['user_data'] = data = expensive_func(myframe.lat)

            If in-place modifications are made to the frame data, the cache should
            be cleared::

                myframe.cache.clear()

            """
            return defaultdict(dict)

        @property
        def data(self):
            """
            The coordinate data for this object.  If this frame has no data, an
            `ValueError` will be raised.  Use `has_data` to
            check if data is present on this frame object.
            """
            if self._data is None:
                raise ValueError(
                    f'The frame object "{self!r}" does not have associated data'
                )
            return self._data

        @property
        def has_data(self):
            """
            True if this frame has `data`, False otherwise.
            """
            return self._data is not None

        @property
        def shape(self):
            return self.data.shape if self.has_data else self._no_data_shape

        # We have to override the ShapedLikeNDArray definitions, since our shape
        # does not have to be that of the data.
        def __len__(self):
            return len(self.data)

        def __bool__(self):
            return self.has_data and self.size > 0

        @property
        def size(self):
            return self.data.size

        @property
        def isscalar(self):
            return self.has_data and self.data.isscalar

        @classmethod
        def get_frame_attr_defaults(cls):
            """Return a dict with the defaults for each frame attribute"""
            return {name: getattr(cls, name) for name in cls.frame_attributes}

        @deprecated(
            "5.2",
            alternative="get_frame_attr_defaults",
            message=(
                "The {func}() {obj_type} is deprecated and may be removed in a future"
                " version. Use {alternative}() to obtain a dict of frame attribute names"
                " and default values."
                " The fastest way to obtain the names is frame_attributes.keys()"
            ),
        )
        @classmethod
        def get_frame_attr_names(cls):
            """Return a dict with the defaults for each frame attribute"""
            return cls.get_frame_attr_defaults()

        def get_representation_cls(self, which="base"):
            """The class used for part of this frame's data.

            Parameters
            ----------
            which : ('base', 's', `None`)
                The class of which part to return.  'base' means the class used to
                represent the coordinates; 's' the first derivative to time, i.e.,
                the class representing the proper motion and/or radial velocity.
                If `None`, return a dict with both.

            Returns
            -------
            representation : `~astropy.coordinates.BaseRepresentation` or `~astropy.coordinates.BaseDifferential`.
            """
            if which is not None:
                return self._representation[which]
            else:
                return self._representation

        def set_representation_cls(self, base=None, s="base"):
            """Set representation and/or differential class for this frame's data.

            Parameters
            ----------
            base : str, `~astropy.coordinates.BaseRepresentation` subclass, optional
                The name or subclass to use to represent the coordinate data.
            s : `~astropy.coordinates.BaseDifferential` subclass, optional
                The differential subclass to use to represent any velocities,
                such as proper motion and radial velocity.  If equal to 'base',
                which is the default, it will be inferred from the representation.
                If `None`, the representation will drop any differentials.
            """
            if base is None:
                base = self._representation["base"]
            self._representation = _get_repr_classes(base=base, s=s)

        representation_type = property(
            fget=get_representation_cls,
            fset=set_representation_cls,
            doc="""The representation class used for this frame's data.

            This will be a subclass from `~astropy.coordinates.BaseRepresentation`.
            Can also be *set* using the string name of the representation. If you
            wish to set an explicit differential class (rather than have it be
            inferred), use the ``set_representation_cls`` method.
            """,
        )

        @property
        def differential_type(self):
            """
            The differential used for this frame's data.

            This will be a subclass from `~astropy.coordinates.BaseDifferential`.
            For simultaneous setting of representation and differentials, see the
            ``set_representation_cls`` method.
            """
            return self.get_representation_cls("s")

        @differential_type.setter
        def differential_type(self, value):
            self.set_representation_cls(s=value)

        @classmethod
        def _get_representation_info(cls):
            # This exists as a class method only to support handling frame inputs
            # without units, which are deprecated and will be removed.  This can be
            # moved into the representation_info property at that time.
            # note that if so moved, the cache should be acceessed as
            # self.__class__._frame_class_cache

            if (
                cls._frame_class_cache.get("last_reprdiff_hash", None)
                != r.get_reprdiff_cls_hash()
            ):
                repr_attrs = {}
                for repr_diff_cls in list(r.REPRESENTATION_CLASSES.values()) + list(
                    r.DIFFERENTIAL_CLASSES.values()
                ):
                    repr_attrs[repr_diff_cls] = {"names": [], "units": []}
                    for c, c_cls in repr_diff_cls.attr_classes.items():
                        repr_attrs[repr_diff_cls]["names"].append(c)
                        rec_unit = u.deg if issubclass(c_cls, Angle) else None
                        repr_attrs[repr_diff_cls]["units"].append(rec_unit)

                for (
                    repr_diff_cls,
                    mappings,
                ) in cls._frame_specific_representation_info.items():
                    # take the 'names' and 'units' tuples from repr_attrs,
                    # and then use the RepresentationMapping objects
                    # to update as needed for this frame.
                    nms = repr_attrs[repr_diff_cls]["names"]
                    uns = repr_attrs[repr_diff_cls]["units"]
                    comptomap = {m.reprname: m for m in mappings}
                    for i, c in enumerate(repr_diff_cls.attr_classes.keys()):
                        if c in comptomap:
                            mapp = comptomap[c]
                            nms[i] = mapp.framename

                            # need the isinstance because otherwise if it's a unit it
                            # will try to compare to the unit string representation
                            if not (
                                isinstance(mapp.defaultunit, str)
                                and mapp.defaultunit == "recommended"
                            ):
                                uns[i] = mapp.defaultunit
                                # else we just leave it as recommended_units says above

                    # Convert to tuples so that this can't mess with frame internals
                    repr_attrs[repr_diff_cls]["names"] = tuple(nms)
                    repr_attrs[repr_diff_cls]["units"] = tuple(uns)

                cls._frame_class_cache["representation_info"] = repr_attrs
                cls._frame_class_cache["last_reprdiff_hash"] = r.get_reprdiff_cls_hash()
            return cls._frame_class_cache["representation_info"]

        @lazyproperty
        def representation_info(self):
            """
            A dictionary with the information of what attribute names for this frame
            apply to particular representations.
            """
            return self._get_representation_info()

        def get_representation_component_names(self, which="base"):
            out = {}
            repr_or_diff_cls = self.get_representation_cls(which)
            if repr_or_diff_cls is None:
                return out
            data_names = repr_or_diff_cls.attr_classes.keys()
            repr_names = self.representation_info[repr_or_diff_cls]["names"]
            for repr_name, data_name in zip(repr_names, data_names):
                out[repr_name] = data_name
            return out

        def get_representation_component_units(self, which="base"):
            out = {}
            repr_or_diff_cls = self.get_representation_cls(which)
            if repr_or_diff_cls is None:
                return out
            repr_attrs = self.representation_info[repr_or_diff_cls]
            repr_names = repr_attrs["names"]
            repr_units = repr_attrs["units"]
            for repr_name, repr_unit in zip(repr_names, repr_units):
                if repr_unit:
                    out[repr_name] = repr_unit
            return out

        representation_component_names = property(get_representation_component_names)

        representation_component_units = property(get_representation_component_units)

        def _replicate(self, data, copy=False, **kwargs):
            """Base for replicating a frame, with possibly different attributes.

            Produces a new instance of the frame using the attributes of the old
            frame (unless overridden) and with the data given.

            Parameters
            ----------
            data : `~astropy.coordinates.BaseRepresentation` or None
                Data to use in the new frame instance.  If `None`, it will be
                a data-less frame.
            copy : bool, optional
                Whether data and the attributes on the old frame should be copied
                (default), or passed on by reference.
            **kwargs
                Any attributes that should be overridden.
            """
            # This is to provide a slightly nicer error message if the user tries
            # to use frame_obj.representation instead of frame_obj.data to get the
            # underlying representation object [e.g., #2890]
            if inspect.isclass(data):
                raise TypeError(
                    "Class passed as data instead of a representation instance. If you"
                    " called frame.representation, this returns the representation class."
                    " frame.data returns the instantiated object - you may want to  use"
                    " this instead."
                )
            if copy and data is not None:
                data = data.copy()

            for attr in self.frame_attributes:
                if attr not in self._attr_names_with_defaults and attr not in kwargs:
                    value = getattr(self, attr)
                    if copy:
                        value = value.copy()

                    kwargs[attr] = value

            return self.__class__(data, copy=False, **kwargs)

        def replicate(self, copy=False, **kwargs):
            """
            Return a replica of the frame, optionally with new frame attributes.

            The replica is a new frame object that has the same data as this frame
            object and with frame attributes overridden if they are provided as extra
            keyword arguments to this method. If ``copy`` is set to `True` then a
            copy of the internal arrays will be made.  Otherwise the replica will
            use a reference to the original arrays when possible to save memory. The
            internal arrays are normally not changeable by the user so in most cases
            it should not be necessary to set ``copy`` to `True`.

            Parameters
            ----------
            copy : bool, optional
                If True, the resulting object is a copy of the data.  When False,
                references are used where  possible. This rule also applies to the
                frame attributes.
            **kwargs
                Any additional keywords are treated as frame attributes to be set on the
                new frame object.

            Returns
            -------
            frameobj : `~astropy.coordinates.BaseCoordinateFrame` subclass instance
                Replica of this object, but possibly with new frame attributes.
            """
            return self._replicate(self.data, copy=copy, **kwargs)

        def replicate_without_data(self, copy=False, **kwargs):
            """
            Return a replica without data, optionally with new frame attributes.

            The replica is a new frame object without data but with the same frame
            attributes as this object, except where overridden by extra keyword
            arguments to this method.  The ``copy`` keyword determines if the frame
            attributes are truly copied vs being references (which saves memory for
            cases where frame attributes are large).

            This method is essentially the converse of `realize_frame`.

            Parameters
            ----------
            copy : bool, optional
                If True, the resulting object has copies of the frame attributes.
                When False, references are used where  possible.
            **kwargs
                Any additional keywords are treated as frame attributes to be set on the
                new frame object.

            Returns
            -------
            frameobj : `~astropy.coordinates.BaseCoordinateFrame` subclass instance
                Replica of this object, but without data and possibly with new frame
                attributes.
            """
            return self._replicate(None, copy=copy, **kwargs)

        def realize_frame(self, data, **kwargs):
            """
            Generates a new frame with new data from another frame (which may or
            may not have data). Roughly speaking, the converse of
            `replicate_without_data`.

            Parameters
            ----------
            data : `~astropy.coordinates.BaseRepresentation`
                The representation to use as the data for the new frame.
            **kwargs
                Any additional keywords are treated as frame attributes to be set on the
                new frame object. In particular, `representation_type` can be specified.

            Returns
            -------
            frameobj : `~astropy.coordinates.BaseCoordinateFrame` subclass instance
                A new object in *this* frame, with the same frame attributes as
                this one, but with the ``data`` as the coordinate data.

            """
            return self._replicate(data, **kwargs)

        def represent_as(self, base, s="base", in_frame_units=False):
            """
            Generate and return a new representation of this frame's `data`
            as a Representation object.

            Note: In order to make an in-place change of the representation
            of a Frame or SkyCoord object, set the ``representation``
            attribute of that object to the desired new representation, or
            use the ``set_representation_cls`` method to also set the differential.

            Parameters
            ----------
            base : subclass of BaseRepresentation or string
                The type of representation to generate.  Must be a *class*
                (not an instance), or the string name of the representation
                class.
            s : subclass of `~astropy.coordinates.BaseDifferential`, str, optional
                Class in which any velocities should be represented. Must be
                a *class* (not an instance), or the string name of the
                differential class.  If equal to 'base' (default), inferred from
                the base class.  If `None`, all velocity information is dropped.
            in_frame_units : bool, keyword-only
                Force the representation units to match the specified units
                particular to this frame

            Returns
            -------
            newrep : BaseRepresentation-derived object
                A new representation object of this frame's `data`.

            Raises
            ------
            AttributeError
                If this object had no `data`

            Examples
            --------
            >>> from astropy import units as u
            >>> from astropy.coordinates import SkyCoord, CartesianRepresentation
            >>> coord = SkyCoord(0*u.deg, 0*u.deg)
            >>> coord.represent_as(CartesianRepresentation)  # doctest: +FLOAT_CMP
            <CartesianRepresentation (x, y, z) [dimensionless]
                    (1., 0., 0.)>

            >>> coord.representation_type = CartesianRepresentation
            >>> coord  # doctest: +FLOAT_CMP
            <SkyCoord (ICRS): (x, y, z) [dimensionless]
                (1., 0., 0.)>
            """

            # For backwards compatibility (because in_frame_units used to be the
            # 2nd argument), we check to see if `new_differential` is a boolean. If
            # it is, we ignore the value of `new_differential` and warn about the
            # position change
            if isinstance(s, bool):
                warnings.warn(
                    "The argument position for `in_frame_units` in `represent_as` has"
                    " changed. Use as a keyword argument if needed.",
                    AstropyWarning,
                )
                in_frame_units = s
                s = "base"

            # In the future, we may want to support more differentials, in which
            # case one probably needs to define **kwargs above and use it here.
            # But for now, we only care about the velocity.
            repr_classes = _get_repr_classes(base=base, s=s)
            representation_cls = repr_classes["base"]
            # We only keep velocity information
            if "s" in self.data.differentials:
                # For the default 'base' option in which _get_repr_classes has
                # given us a best guess based on the representation class, we only
                # use it if the class we had already is incompatible.
                if s == "base" and (
                    self.data.differentials["s"].__class__
                    in representation_cls._compatible_differentials
                ):
                    differential_cls = self.data.differentials["s"].__class__
                else:
                    differential_cls = repr_classes["s"]
            elif s is None or s == "base":
                differential_cls = None
            else:
                raise TypeError(
                    "Frame data has no associated differentials (i.e. the frame has no"
                    " velocity data) - represent_as() only accepts a new representation."
                )

            if differential_cls:
                cache_key = (
                    representation_cls.__name__,
                    differential_cls.__name__,
                    in_frame_units,
                )
            else:
                cache_key = (representation_cls.__name__, in_frame_units)

            cached_repr = self.cache["representation"].get(cache_key)
            if not cached_repr:
                if differential_cls:
                    # Sanity check to ensure we do not just drop radial
                    # velocity.  TODO: should Representation.represent_as
                    # allow this transformation in the first place?
                    if (
                        isinstance(self.data, r.UnitSphericalRepresentation)
                        and issubclass(representation_cls, r.CartesianRepresentation)
                        and not isinstance(
                            self.data.differentials["s"],
                            (
                                r.UnitSphericalDifferential,
                                r.UnitSphericalCosLatDifferential,
                                r.RadialDifferential,
                            ),
                        )
                    ):
                        raise u.UnitConversionError(
                            "need a distance to retrieve a cartesian representation "
                            "when both radial velocity and proper motion are present, "
                            "since otherwise the units cannot match."
                        )

                    # TODO NOTE: only supports a single differential
                    data = self.data.represent_as(representation_cls, differential_cls)
                    diff = data.differentials["s"]  # TODO: assumes velocity
                else:
                    data = self.data.represent_as(representation_cls)

                # If the new representation is known to this frame and has a defined
                # set of names and units, then use that.
                new_attrs = self.representation_info.get(representation_cls)
                if new_attrs and in_frame_units:
                    datakwargs = {comp: getattr(data, comp) for comp in data.components}
                    for comp, new_attr_unit in zip(data.components, new_attrs["units"]):
                        if new_attr_unit:
                            datakwargs[comp] = datakwargs[comp].to(new_attr_unit)
                    data = data.__class__(copy=False, **datakwargs)

                if differential_cls:
                    # the original differential
                    data_diff = self.data.differentials["s"]

                    # If the new differential is known to this frame and has a
                    # defined set of names and units, then use that.
                    new_attrs = self.representation_info.get(differential_cls)
                    if new_attrs and in_frame_units:
                        diffkwargs = {comp: getattr(diff, comp) for comp in diff.components}
                        for comp, new_attr_unit in zip(diff.components, new_attrs["units"]):
                            # Some special-casing to treat a situation where the
                            # input data has a UnitSphericalDifferential or a
                            # RadialDifferential. It is re-represented to the
                            # frame's differential class (which might be, e.g., a
                            # dimensional Differential), so we don't want to try to
                            # convert the empty component units
                            if (
                                isinstance(
                                    data_diff,
                                    (
                                        r.UnitSphericalDifferential,
                                        r.UnitSphericalCosLatDifferential,
                                    ),
                                )
                                and comp not in data_diff.__class__.attr_classes
                            ):
                                continue

                            elif (
                                isinstance(data_diff, r.RadialDifferential)
                                and comp not in data_diff.__class__.attr_classes
                            ):
                                continue

                            # Try to convert to requested units. Since that might
                            # not be possible (e.g., for a coordinate with proper
                            # motion but without distance, one cannot convert to a
                            # cartesian differential in km/s), we allow the unit
                            # conversion to fail.  See gh-7028 for discussion.
                            if new_attr_unit and hasattr(diff, comp):
                                try:
                                    diffkwargs[comp] = diffkwargs[comp].to(new_attr_unit)
                                except Exception:
                                    pass

                        diff = diff.__class__(copy=False, **diffkwargs)

                        # Here we have to bypass using with_differentials() because
                        # it has a validation check. But because
                        # .representation_type and .differential_type don't point to
                        # the original classes, if the input differential is a
                        # RadialDifferential, it usually gets turned into a
                        # SphericalCosLatDifferential (or whatever the default is)
                        # with strange units for the d_lon and d_lat attributes.
                        # This then causes the dictionary key check to fail (i.e.
                        # comparison against `diff._get_deriv_key()`)
                        data._differentials.update({"s": diff})

                self.cache["representation"][cache_key] = data

            return self.cache["representation"][cache_key]

        def transform_to(self, new_frame):
            """
            Transform this object's coordinate data to a new frame.

            Parameters
            ----------
            new_frame : coordinate-like or `~astropy.coordinates.BaseCoordinateFrame` subclass instance
                The frame to transform this coordinate frame into.
                The frame class option is deprecated.

            Returns
            -------
            transframe : coordinate-like
                A new object with the coordinate data represented in the
                ``newframe`` system.

            Raises
            ------
            ValueError
                If there is no possible transformation route.
            """
            from .errors import ConvertError

            if self._data is None:
                raise ValueError("Cannot transform a frame with no data")

            if (
                getattr(self.data, "differentials", None)
                and hasattr(self, "obstime")
                and hasattr(new_frame, "obstime")
                and np.any(self.obstime != new_frame.obstime)
            ):
                raise NotImplementedError(
                    "You cannot transform a frame that has velocities to another frame at a"
                    " different obstime. If you think this should (or should not) be"
                    " possible, please comment at"
                    " https://github.com/astropy/astropy/issues/6280"
                )

            if inspect.isclass(new_frame):
                warnings.warn(
                    "Transforming a frame instance to a frame class (as opposed to another "
                    "frame instance) will not be supported in the future.  Either "
                    "explicitly instantiate the target frame, or first convert the source "
                    "frame instance to a `astropy.coordinates.SkyCoord` and use its "
                    "`transform_to()` method.",
                    AstropyDeprecationWarning,
                )
                # Use the default frame attributes for this class
                new_frame = new_frame()

            if hasattr(new_frame, "_sky_coord_frame"):
                # Input new_frame is not a frame instance or class and is most
                # likely a SkyCoord object.
                new_frame = new_frame._sky_coord_frame

            trans = frame_transform_graph.get_transform(self.__class__, new_frame.__class__)
            if trans is None:
                if new_frame is self.__class__:
                    # no special transform needed, but should update frame info
                    return new_frame.realize_frame(self.data)
                msg = "Cannot transform from {0} to {1}"
                raise ConvertError(msg.format(self.__class__, new_frame.__class__))
            return trans(self, new_frame)

        def is_transformable_to(self, new_frame):
            """
            Determines if this coordinate frame can be transformed to another
            given frame.

            Parameters
            ----------
            new_frame : `~astropy.coordinates.BaseCoordinateFrame` subclass or instance
                The proposed frame to transform into.

            Returns
            -------
            transformable : bool or str
                `True` if this can be transformed to ``new_frame``, `False` if
                not, or the string 'same' if ``new_frame`` is the same system as
                this object but no transformation is defined.

            Notes
            -----
            A return value of 'same' means the transformation will work, but it will
            just give back a copy of this object.  The intended usage is::

                if coord.is_transformable_to(some_unknown_frame):
                    coord2 = coord.transform_to(some_unknown_frame)

            This will work even if ``some_unknown_frame``  turns out to be the same
            frame class as ``coord``.  This is intended for cases where the frame
            is the same regardless of the frame attributes (e.g. ICRS), but be
            aware that it *might* also indicate that someone forgot to define the
            transformation between two objects of the same frame class but with
            different attributes.
            """
            new_frame_cls = new_frame if inspect.isclass(new_frame) else new_frame.__class__
            trans = frame_transform_graph.get_transform(self.__class__, new_frame_cls)

            if trans is None:
                if new_frame_cls is self.__class__:
                    return "same"
                else:
                    return False
            else:
                return True

        def is_frame_attr_default(self, attrnm):
            """
            Determine whether or not a frame attribute has its value because it's
            the default value, or because this frame was created with that value
            explicitly requested.

            Parameters
            ----------
            attrnm : str
                The name of the attribute to check.

            Returns
            -------
            isdefault : bool
                True if the attribute ``attrnm`` has its value by default, False if
                it was specified at creation of this frame.
            """
            return attrnm in self._attr_names_with_defaults

        @staticmethod
        def _frameattr_equiv(left_fattr, right_fattr):
            """
            Determine if two frame attributes are equivalent.  Implemented as a
            staticmethod mainly as a convenient location, although conceivable it
            might be desirable for subclasses to override this behavior.

            Primary purpose is to check for equality of representations.  This
            aspect can actually be simplified/removed now that representations have
            equality defined.

            Secondary purpose is to check for equality of coordinate attributes,
            which first checks whether they themselves are in equivalent frames
            before checking for equality in the normal fashion.  This is because
            checking for equality with non-equivalent frames raises an error.
            """
            if left_fattr is right_fattr:
                # shortcut if it's exactly the same object
                return True
            elif left_fattr is None or right_fattr is None:
                # shortcut if one attribute is unspecified and the other isn't
                return False

            left_is_repr = isinstance(left_fattr, r.BaseRepresentationOrDifferential)
            right_is_repr = isinstance(right_fattr, r.BaseRepresentationOrDifferential)
            if left_is_repr and right_is_repr:
                # both are representations.
                if getattr(left_fattr, "differentials", False) or getattr(
                    right_fattr, "differentials", False
                ):
                    warnings.warn(
                        "Two representation frame attributes were checked for equivalence"
                        " when at least one of them has differentials.  This yields False"
                        " even if the underlying representations are equivalent (although"
                        " this may change in future versions of Astropy)",
                        AstropyWarning,
                    )
                    return False
                if isinstance(right_fattr, left_fattr.__class__):
                    # if same representation type, compare components.
                    return np.all(
                        [
                            (getattr(left_fattr, comp) == getattr(right_fattr, comp))
                            for comp in left_fattr.components
                        ]
                    )
                else:
                    # convert to cartesian and see if they match
                    return np.all(
                        left_fattr.to_cartesian().xyz == right_fattr.to_cartesian().xyz
                    )
            elif left_is_repr or right_is_repr:
                return False

            left_is_coord = isinstance(left_fattr, BaseCoordinateFrame)
            right_is_coord = isinstance(right_fattr, BaseCoordinateFrame)
            if left_is_coord and right_is_coord:
                # both are coordinates
                if left_fattr.is_equivalent_frame(right_fattr):
                    return np.all(left_fattr == right_fattr)
                else:
                    return False
            elif left_is_coord or right_is_coord:
                return False

            return np.all(left_fattr == right_fattr)

        def is_equivalent_frame(self, other):
            """
            Checks if this object is the same frame as the ``other`` object.

            To be the same frame, two objects must be the same frame class and have
            the same frame attributes.  Note that it does *not* matter what, if any,
            data either object has.

            Parameters
            ----------
            other : :class:`~astropy.coordinates.BaseCoordinateFrame`
                the other frame to check

            Returns
            -------
            isequiv : bool
                True if the frames are the same, False if not.

            Raises
            ------
            TypeError
                If ``other`` isn't a `~astropy.coordinates.BaseCoordinateFrame` or subclass.
            """
            if self.__class__ == other.__class__:
                for frame_attr_name in self.frame_attributes:
                    if not self._frameattr_equiv(
                        getattr(self, frame_attr_name), getattr(other, frame_attr_name)
                    ):
                        return False
                return True
            elif not isinstance(other, BaseCoordinateFrame):
                raise TypeError(
                    "Tried to do is_equivalent_frame on something that isn't a frame"
                )
            else:
                return False

        def __repr__(self):
            frameattrs = self._frame_attrs_repr()
            data_repr = self._data_repr()

            if frameattrs:
                frameattrs = f" ({frameattrs})"

            if data_repr:
                return f"<{self.__class__.__name__} Coordinate{frameattrs}: {data_repr}>"
            else:
                return f"<{self.__class__.__name__} Frame{frameattrs}>"

        def _data_repr(self):
            """Returns a string representation of the coordinate data."""

            if not self.has_data:
                return ""

            if self.representation_type:
                if hasattr(self.representation_type, "_unit_representation") and isinstance(
                    self.data, self.representation_type._unit_representation
                ):
                    rep_cls = self.data.__class__
                else:
                    rep_cls = self.representation_type

                if "s" in self.data.differentials:
                    dif_cls = self.get_representation_cls("s")
                    dif_data = self.data.differentials["s"]
                    if isinstance(
                        dif_data,
                        (
                            r.UnitSphericalDifferential,
                            r.UnitSphericalCosLatDifferential,
                            r.RadialDifferential,
                        ),
                    ):
                        dif_cls = dif_data.__class__

                else:
                    dif_cls = None

                data = self.represent_as(rep_cls, dif_cls, in_frame_units=True)

                data_repr = repr(data)
                # Generate the list of component names out of the repr string
                part1, _, remainder = data_repr.partition("(")
                if remainder != "":
                    comp_str, _, part2 = remainder.partition(")")
                    comp_names = comp_str.split(", ")
                    # Swap in frame-specific component names
                    invnames = {
                        nmrepr: nmpref
                        for nmpref, nmrepr in self.representation_component_names.items()
                    }
                    for i, name in enumerate(comp_names):
                        comp_names[i] = invnames.get(name, name)
                    # Reassemble the repr string
                    data_repr = part1 + "(" + ", ".join(comp_names) + ")" + part2

            else:
                data = self.data
                data_repr = repr(self.data)

            if data_repr.startswith("<" + data.__class__.__name__):
                # remove both the leading "<" and the space after the name, as well
                # as the trailing ">"
                data_repr = data_repr[(len(data.__class__.__name__) + 2) : -1]
            else:
                data_repr = "Data:\n" + data_repr

            if "s" in self.data.differentials:
                data_repr_spl = data_repr.split("\n")
                if "has differentials" in data_repr_spl[-1]:
                    diffrepr = repr(data.differentials["s"]).split("\n")
                    if diffrepr[0].startswith("<"):
                        diffrepr[0] = " " + " ".join(diffrepr[0].split(" ")[1:])
                    for frm_nm, rep_nm in self.get_representation_component_names(
                        "s"
                    ).items():
                        diffrepr[0] = diffrepr[0].replace(rep_nm, frm_nm)
                    if diffrepr[-1].endswith(">"):
                        diffrepr[-1] = diffrepr[-1][:-1]
                    data_repr_spl[-1] = "\n".join(diffrepr)

                data_repr = "\n".join(data_repr_spl)

            return data_repr

        def _frame_attrs_repr(self):
            """
            Returns a string representation of the frame's attributes, if any.
            """
            attr_strs = []
            for attribute_name in self.frame_attributes:
                attr = getattr(self, attribute_name)
                # Check to see if this object has a way of representing itself
                # specific to being an attribute of a frame. (Note, this is not the
                # Attribute class, it's the actual object).
                if hasattr(attr, "_astropy_repr_in_frame"):
                    attrstr = attr._astropy_repr_in_frame()
                else:
                    attrstr = str(attr)
                attr_strs.append(f"{attribute_name}={attrstr}")

            return ", ".join(attr_strs)

        def _apply(self, method, *args, **kwargs):
            """Create a new instance, applying a method to the underlying data.

            In typical usage, the method is any of the shape-changing methods for
            `~numpy.ndarray` (``reshape``, ``swapaxes``, etc.), as well as those
            picking particular elements (``__getitem__``, ``take``, etc.), which
            are all defined in `~astropy.utils.shapes.ShapedLikeNDArray`. It will be
            applied to the underlying arrays in the representation (e.g., ``x``,
            ``y``, and ``z`` for `~astropy.coordinates.CartesianRepresentation`),
            as well as to any frame attributes that have a shape, with the results
            used to create a new instance.

            Internally, it is also used to apply functions to the above parts
            (in particular, `~numpy.broadcast_to`).

            Parameters
            ----------
            method : str or callable
                If str, it is the name of a method that is applied to the internal
                ``components``. If callable, the function is applied.
            *args : tuple
                Any positional arguments for ``method``.
            **kwargs : dict
                Any keyword arguments for ``method``.
            """

            def apply_method(value):
                if isinstance(value, ShapedLikeNDArray):
                    return value._apply(method, *args, **kwargs)
                else:
                    if callable(method):
                        return method(value, *args, **kwargs)
                    else:
                        return getattr(value, method)(*args, **kwargs)

            new = super().__new__(self.__class__)
            if hasattr(self, "_representation"):
                new._representation = self._representation.copy()
            new._attr_names_with_defaults = self._attr_names_with_defaults.copy()

            for attr in self.frame_attributes:
                _attr = "_" + attr
                if attr in self._attr_names_with_defaults:
                    setattr(new, _attr, getattr(self, _attr))
                else:
                    value = getattr(self, _attr)
                    if getattr(value, "shape", ()):
                        value = apply_method(value)
                    elif method == "copy" or method == "flatten":
                        # flatten should copy also for a single element array, but
                        # we cannot use it directly for array scalars, since it
                        # always returns a one-dimensional array. So, just copy.
                        value = copy.copy(value)

                    setattr(new, _attr, value)

            if self.has_data:
                new._data = apply_method(self.data)
            else:
                new._data = None
                shapes = [
                    getattr(new, "_" + attr).shape
                    for attr in new.frame_attributes
                    if (
                        attr not in new._attr_names_with_defaults
                        and getattr(getattr(new, "_" + attr), "shape", ())
                    )
                ]
                if shapes:
                    new._no_data_shape = (
                        check_broadcast(*shapes) if len(shapes) > 1 else shapes[0]
                    )
                else:
                    new._no_data_shape = ()

            return new

        def __setitem__(self, item, value):
            if self.__class__ is not value.__class__:
                raise TypeError(
                    f"can only set from object of same class: {self.__class__.__name__} vs."
                    f" {value.__class__.__name__}"
                )

            if not self.is_equivalent_frame(value):
                raise ValueError("can only set frame item from an equivalent frame")

            if value._data is None:
                raise ValueError("can only set frame with value that has data")

            if self._data is None:
                raise ValueError("cannot set frame which has no data")

            if self.shape == ():
                raise TypeError(
                    f"scalar '{self.__class__.__name__}' frame object "
                    "does not support item assignment"
                )

            if self._data is None:
                raise ValueError("can only set frame if it has data")

            if self._data.__class__ is not value._data.__class__:
                raise TypeError(
                    "can only set from object of same class: "
                    f"{self._data.__class__.__name__} vs. {value._data.__class__.__name__}"
                )

            if self._data._differentials:
                # Can this ever occur? (Same class but different differential keys).
                # This exception is not tested since it is not clear how to generate it.
                if self._data._differentials.keys() != value._data._differentials.keys():
                    raise ValueError("setitem value must have same differentials")

                for key, self_diff in self._data._differentials.items():
                    if self_diff.__class__ is not value._data._differentials[key].__class__:
                        raise TypeError(
                            "can only set from object of same class: "
                            f"{self_diff.__class__.__name__} vs. "
                            f"{value._data._differentials[key].__class__.__name__}"
                        )

            # Set representation data
            self._data[item] = value._data

            # Frame attributes required to be identical by is_equivalent_frame,
            # no need to set them here.

            self.cache.clear()

        def __dir__(self):
            """
            Override the builtin `dir` behavior to include representation
            names.

            TODO: dynamic representation transforms (i.e. include cylindrical et al.).
            """
            return sorted(
                set(super().__dir__())
                | set(self.representation_component_names)
                | set(self.get_representation_component_names("s"))
            )

        def __getattr__(self, attr):
            """
            Allow access to attributes on the representation and differential as
            found via ``self.get_representation_component_names``.

            TODO: We should handle dynamic representation transforms here (e.g.,
            `.cylindrical`) instead of defining properties as below.
            """

            # attr == '_representation' is likely from the hasattr() test in the
            # representation property which is used for
            # self.representation_component_names.
            #
            # Prevent infinite recursion here.
            if attr.startswith("_"):
                return self.__getattribute__(attr)  # Raise AttributeError.

            repr_names = self.representation_component_names
            if attr in repr_names:
                if self._data is None:
                    self.data  # this raises the "no data" error by design - doing it
                    # this way means we don't have to replicate the error message here

                rep = self.represent_as(self.representation_type, in_frame_units=True)
                val = getattr(rep, repr_names[attr])
                return val

            diff_names = self.get_representation_component_names("s")
            if attr in diff_names:
                if self._data is None:
                    self.data  # see above.
                # TODO: this doesn't work for the case when there is only
                # unitspherical information. The differential_type gets set to the
                # default_differential, which expects full information, so the
                # units don't work out
                rep = self.represent_as(
                    in_frame_units=True, **self.get_representation_cls(None)
                )
                val = getattr(rep.differentials["s"], diff_names[attr])
                return val

            return self.__getattribute__(attr)  # Raise AttributeError.

        def __setattr__(self, attr, value):
            # Don't slow down access of private attributes!
            if not attr.startswith("_"):
                if hasattr(self, "representation_info"):
                    repr_attr_names = set()
                    for representation_attr in self.representation_info.values():
                        repr_attr_names.update(representation_attr["names"])

                    if attr in repr_attr_names:
                        raise AttributeError(f"Cannot set any frame attribute {attr}")

            super().__setattr__(attr, value)

        def __eq__(self, value):
            """Equality operator for frame.

            This implements strict equality and requires that the frames are
            equivalent and that the representation data are exactly equal.
            """
            if not isinstance(value, BaseCoordinateFrame):
                return NotImplemented

            is_equiv = self.is_equivalent_frame(value)

            if self._data is None and value._data is None:
                # For Frame with no data, == compare is same as is_equivalent_frame()
                return is_equiv

            if not is_equiv:
                raise TypeError(
                    "cannot compare: objects must have equivalent frames: "
                    f"{self.replicate_without_data()} vs. {value.replicate_without_data()}"
                )

            if (value._data is None) != (self._data is None):
                raise ValueError(
                    "cannot compare: one frame has data and the other does not"
                )

            return self._data == value._data

        def __ne__(self, value):
            return np.logical_not(self == value)

        def separation(self, other):
            """
            Computes on-sky separation between this coordinate and another.

            .. note::

                If the ``other`` coordinate object is in a different frame, it is
                first transformed to the frame of this object. This can lead to
                unintuitive behavior if not accounted for. Particularly of note is
                that ``self.separation(other)`` and ``other.separation(self)`` may
                not give the same answer in this case.

            Parameters
            ----------
            other : `~astropy.coordinates.BaseCoordinateFrame`
                The coordinate to get the separation to.

            Returns
            -------
            sep : `~astropy.coordinates.Angle`
                The on-sky separation between this and the ``other`` coordinate.

            Notes
            -----
            The separation is calculated using the Vincenty formula, which
            is stable at all locations, including poles and antipodes [1]_.

            .. [1] https://en.wikipedia.org/wiki/Great-circle_distance

            """
            from .angle_utilities import angular_separation
            from .angles import Angle

            self_unit_sph = self.represent_as(r.UnitSphericalRepresentation)
            other_transformed = other.transform_to(self)
            other_unit_sph = other_transformed.represent_as(r.UnitSphericalRepresentation)

            # Get the separation as a Quantity, convert to Angle in degrees
            sep = angular_separation(
                self_unit_sph.lon, self_unit_sph.lat, other_unit_sph.lon, other_unit_sph.lat
            )
            return Angle(sep, unit=u.degree)

        def separation_3d(self, other):
            """
            Computes three dimensional separation between this coordinate
            and another.

            Parameters
            ----------
            other : `~astropy.coordinates.BaseCoordinateFrame`
                The coordinate system to get the distance to.

            Returns
            -------
            sep : `~astropy.coordinates.Distance`
                The real-space distance between these two coordinates.

            Raises
            ------
            ValueError
                If this or the other coordinate do not have distances.
            """

            from .distances import Distance

            if issubclass(self.data.__class__, r.UnitSphericalRepresentation):
                raise ValueError(
                    "This object does not have a distance; cannot compute 3d separation."
                )

            # do this first just in case the conversion somehow creates a distance
            other_in_self_system = other.transform_to(self)

            if issubclass(other_in_self_system.__class__, r.UnitSphericalRepresentation):
                raise ValueError(
                    "The other object does not have a distance; "
                    "cannot compute 3d separation."
                )

            # drop the differentials to ensure they don't do anything odd in the
            # subtraction
            self_car = self.data.without_differentials().represent_as(
                r.CartesianRepresentation
            )
            other_car = other_in_self_system.data.without_differentials().represent_as(
                r.CartesianRepresentation
            )
            dist = (self_car - other_car).norm()
            if dist.unit == u.one:
                return dist
            else:
                return Distance(dist)

        @property
        def cartesian(self):
            """
            Shorthand for a cartesian representation of the coordinates in this
            object.
            """

            # TODO: if representations are updated to use a full transform graph,
            #       the representation aliases should not be hard-coded like this
            return self.represent_as("cartesian", in_frame_units=True)

        @property
        def cylindrical(self):
            """
            Shorthand for a cylindrical representation of the coordinates in this
            object.
            """

            # TODO: if representations are updated to use a full transform graph,
            #       the representation aliases should not be hard-coded like this
            return self.represent_as("cylindrical", in_frame_units=True)

        @property
        def spherical(self):
            """
            Shorthand for a spherical representation of the coordinates in this
            object.
            """

            # TODO: if representations are updated to use a full transform graph,
            #       the representation aliases should not be hard-coded like this
            return self.represent_as("spherical", in_frame_units=True)

        @property
        def sphericalcoslat(self):
            """
            Shorthand for a spherical representation of the positional data and a
            `~astropy.coordinates.SphericalCosLatDifferential` for the velocity
            data in this object.
            """

            # TODO: if representations are updated to use a full transform graph,
            #       the representation aliases should not be hard-coded like this
            return self.represent_as("spherical", "sphericalcoslat", in_frame_units=True)

        @property
        def velocity(self):
            """
            Shorthand for retrieving the Cartesian space-motion as a
            `~astropy.coordinates.CartesianDifferential` object.

            This is equivalent to calling ``self.cartesian.differentials['s']``.
            """
            if "s" not in self.data.differentials:
                raise ValueError(
                    "Frame has no associated velocity (Differential) data information."
                )

            return self.cartesian.differentials["s"]

        @property
        def proper_motion(self):
            """
            Shorthand for the two-dimensional proper motion as a
            `~astropy.units.Quantity` object with angular velocity units. In the
            returned `~astropy.units.Quantity`, ``axis=0`` is the longitude/latitude
            dimension so that ``.proper_motion[0]`` is the longitudinal proper
            motion and ``.proper_motion[1]`` is latitudinal. The longitudinal proper
            motion already includes the cos(latitude) term.
            """
            if "s" not in self.data.differentials:
                raise ValueError(
                    "Frame has no associated velocity (Differential) data information."
                )

            sph = self.represent_as("spherical", "sphericalcoslat", in_frame_units=True)
            pm_lon = sph.differentials["s"].d_lon_coslat
            pm_lat = sph.differentials["s"].d_lat
            return (
                np.stack((pm_lon.value, pm_lat.to(pm_lon.unit).value), axis=0) * pm_lon.unit
            )

        @property
        def radial_velocity(self):
            """
            Shorthand for the radial or line-of-sight velocity as a
            `~astropy.units.Quantity` object.
            """
            if "s" not in self.data.differentials:
                raise ValueError(
                    "Frame has no associated velocity (Differential) data information."
                )

            sph = self.represent_as("spherical", in_frame_units=True)
            return sph.differentials["s"].d_distance

    class GenericFrame(BaseCoordinateFrame):
        """
        A frame object that can't store data but can hold any arbitrary frame
        attributes. Mostly useful as a utility for the high-level class to store
        intermediate frame attributes.

        Parameters
        ----------
        frame_attrs : dict
            A dictionary of attributes to be used as the frame attributes for this
            frame.
        """

        name = None  # it's not a "real" frame so it doesn't have a name

        def __init__(self, frame_attrs):
            self.frame_attributes = {}
            for name, default in frame_attrs.items():
                self.frame_attributes[name] = Attribute(default)
                setattr(self, "_" + name, default)

            super().__init__(None)

        def __getattr__(self, name):
            if "_" + name in self.__dict__:
                return getattr(self, "_" + name)
            else:
                raise AttributeError(f"no {name}")

        def __setattr__(self, name, value):
            if name in self.frame_attributes:
                raise AttributeError(f"can't set frame attribute '{name}'")
            else:
                super().__setattr__(name, value)