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# Source code for astropy.io.misc.yaml

    # Licensed under a 3-clause BSD style license - see LICENSE.rst

    """
    This module contains functions for serializing core astropy objects via the
    YAML protocol.
    It provides functions `~astropy.io.misc.yaml.dump`,
    `~astropy.io.misc.yaml.load`, and `~astropy.io.misc.yaml.load_all` which
    call the corresponding functions in `PyYaml <https://pyyaml.org>`_ but use the
    `~astropy.io.misc.yaml.AstropyDumper` and `~astropy.io.misc.yaml.AstropyLoader`
    classes to define custom YAML tags for the following astropy classes:
    - `astropy.units.Unit`
    - `astropy.units.Quantity`
    - `astropy.time.Time`
    - `astropy.time.TimeDelta`
    - `astropy.coordinates.SkyCoord`
    - `astropy.coordinates.Angle`
    - `astropy.coordinates.Latitude`
    - `astropy.coordinates.Longitude`
    - `astropy.coordinates.EarthLocation`
    - `astropy.table.SerializedColumn`

    Example
    =======
    ::
      >>> from astropy.io.misc import yaml
      >>> import astropy.units as u
      >>> from astropy.time import Time
      >>> from astropy.coordinates import EarthLocation
      >>> t = Time(2457389.0, format='mjd',
      ...          location=EarthLocation(1000, 2000, 3000, unit=u.km))
      >>> td = yaml.dump(t)
      >>> print(td)
      !astropy.time.Time
      format: mjd
      in_subfmt: '*'
      jd1: 4857390.0
      jd2: -0.5
      location: !astropy.coordinates.earth.EarthLocation
        ellipsoid: WGS84
        x: !astropy.units.Quantity
          unit: &id001 !astropy.units.Unit {unit: km}
          value: 1000.0
        y: !astropy.units.Quantity
          unit: *id001
          value: 2000.0
        z: !astropy.units.Quantity
          unit: *id001
          value: 3000.0
      out_subfmt: '*'
      precision: 3
      scale: utc
      >>> ty = yaml.load(td)
      >>> ty
      <Time object: scale='utc' format='mjd' value=2457389.0>
      >>> ty.location  # doctest: +FLOAT_CMP
      <EarthLocation (1000., 2000., 3000.) km>
    """

    import base64

    import numpy as np
    import yaml

    from astropy import coordinates as coords
    from astropy import units as u
    from astropy.table import SerializedColumn
    from astropy.time import Time, TimeDelta

    __all__ = ["AstropyLoader", "AstropyDumper", "load", "load_all", "dump"]

    def _unit_representer(dumper, obj):
        out = {"unit": str(obj.to_string())}
        return dumper.represent_mapping("!astropy.units.Unit", out)

    def _unit_constructor(loader, node):
        map = loader.construct_mapping(node)
        return u.Unit(map["unit"], parse_strict="warn")

    def _serialized_column_representer(dumper, obj):
        out = dumper.represent_mapping("!astropy.table.SerializedColumn", obj)
        return out

    def _serialized_column_constructor(loader, node):
        map = loader.construct_mapping(node)
        return SerializedColumn(map)

    def _time_representer(dumper, obj):
        out = obj.info._represent_as_dict()
        return dumper.represent_mapping("!astropy.time.Time", out)

    def _time_constructor(loader, node):
        map = loader.construct_mapping(node)
        out = Time.info._construct_from_dict(map)
        return out

    def _timedelta_representer(dumper, obj):
        out = obj.info._represent_as_dict()
        return dumper.represent_mapping("!astropy.time.TimeDelta", out)

    def _timedelta_constructor(loader, node):
        map = loader.construct_mapping(node)
        out = TimeDelta.info._construct_from_dict(map)
        return out

    def _ndarray_representer(dumper, obj):
        if not (obj.flags["C_CONTIGUOUS"] or obj.flags["F_CONTIGUOUS"]):
            obj = np.ascontiguousarray(obj)

        if np.isfortran(obj):
            obj = obj.T
            order = "F"
        else:
            order = "C"

        data_b64 = base64.b64encode(obj.tobytes())

        out = dict(
            buffer=data_b64,
            dtype=str(obj.dtype) if not obj.dtype.fields else obj.dtype.descr,
            shape=obj.shape,
            order=order,
        )

        return dumper.represent_mapping("!numpy.ndarray", out)

    def _ndarray_constructor(loader, node):
        # Convert mapping to a dict useful for initializing ndarray.
        # Need deep=True since for structured dtype, the contents
        # include lists and tuples, which need recursion via
        # construct_sequence.
        map = loader.construct_mapping(node, deep=True)
        map["buffer"] = base64.b64decode(map["buffer"])
        return np.ndarray(**map)

    def _void_representer(dumper, obj):
        data_b64 = base64.b64encode(obj.tobytes())
        out = dict(
            buffer=data_b64,
            dtype=str(obj.dtype) if not obj.dtype.fields else obj.dtype.descr,
        )
        return dumper.represent_mapping("!numpy.void", out)

    def _void_constructor(loader, node):
        # Interpret as node as an array scalar and then index to change to void.
        map = loader.construct_mapping(node, deep=True)
        map["buffer"] = base64.b64decode(map["buffer"])
        return np.ndarray(shape=(), **map)[()]

    def _quantity_representer(tag):
        def representer(dumper, obj):
            out = obj.info._represent_as_dict()
            return dumper.represent_mapping(tag, out)

        return representer

    def _quantity_constructor(cls):
        def constructor(loader, node):
            map = loader.construct_mapping(node)
            return cls.info._construct_from_dict(map)

        return constructor

    def _skycoord_representer(dumper, obj):
        map = obj.info._represent_as_dict()
        out = dumper.represent_mapping("!astropy.coordinates.sky_coordinate.SkyCoord", map)
        return out

    def _skycoord_constructor(loader, node):
        map = loader.construct_mapping(node)
        out = coords.SkyCoord.info._construct_from_dict(map)
        return out

    # Straight from yaml's Representer
    def _complex_representer(self, data):
        if data.imag == 0.0:
            data = f"{data.real!r}"
        elif data.real == 0.0:
            data = f"{data.imag!r}j"
        elif data.imag > 0:
            data = f"{data.real!r}+{data.imag!r}j"
        else:
            data = f"{data.real!r}{data.imag!r}j"
        return self.represent_scalar("tag:yaml.org,2002:python/complex", data)

    def _complex_constructor(loader, node):
        map = loader.construct_scalar(node)
        return complex(map)

    class AstropyLoader(yaml.SafeLoader):
        """
        Custom SafeLoader that constructs astropy core objects as well
        as Python tuple and unicode objects.

        This class is not directly instantiated by user code, but instead is
        used to maintain the available constructor functions that are
        called when parsing a YAML stream.  See the `PyYaml documentation
        <https://pyyaml.org/wiki/PyYAMLDocumentation>`_ for details of the
        class signature.
        """

        def _construct_python_tuple(self, node):
            return tuple(self.construct_sequence(node))

        def _construct_python_unicode(self, node):
            return self.construct_scalar(node)

    class AstropyDumper(yaml.SafeDumper):
        """
        Custom SafeDumper that represents astropy core objects as well
        as Python tuple and unicode objects.

        This class is not directly instantiated by user code, but instead is
        used to maintain the available representer functions that are
        called when generating a YAML stream from an object.  See the
        `PyYaml documentation <https://pyyaml.org/wiki/PyYAMLDocumentation>`_
        for details of the class signature.
        """

        def _represent_tuple(self, data):
            return self.represent_sequence("tag:yaml.org,2002:python/tuple", data)

    AstropyDumper.add_multi_representer(u.UnitBase, _unit_representer)
    AstropyDumper.add_multi_representer(u.FunctionUnitBase, _unit_representer)
    AstropyDumper.add_multi_representer(u.StructuredUnit, _unit_representer)
    AstropyDumper.add_representer(tuple, AstropyDumper._represent_tuple)
    AstropyDumper.add_representer(np.ndarray, _ndarray_representer)
    AstropyDumper.add_representer(np.void, _void_representer)
    AstropyDumper.add_representer(Time, _time_representer)
    AstropyDumper.add_representer(TimeDelta, _timedelta_representer)
    AstropyDumper.add_representer(coords.SkyCoord, _skycoord_representer)
    AstropyDumper.add_representer(SerializedColumn, _serialized_column_representer)

    # Numpy dtypes
    AstropyDumper.add_representer(np.bool_, yaml.representer.SafeRepresenter.represent_bool)
    for np_type in [
        np.int_,
        np.intc,
        np.intp,
        np.int8,
        np.int16,
        np.int32,
        np.int64,
        np.uint8,
        np.uint16,
        np.uint32,
        np.uint64,
    ]:
        AstropyDumper.add_representer(
            np_type, yaml.representer.SafeRepresenter.represent_int
        )
    for np_type in [np.float_, np.float16, np.float32, np.float64, np.longdouble]:
        AstropyDumper.add_representer(
            np_type, yaml.representer.SafeRepresenter.represent_float
        )
    for np_type in [np.complex_, complex, np.complex64, np.complex128]:
        AstropyDumper.add_representer(np_type, _complex_representer)

    AstropyLoader.add_constructor("tag:yaml.org,2002:python/complex", _complex_constructor)
    AstropyLoader.add_constructor(
        "tag:yaml.org,2002:python/tuple", AstropyLoader._construct_python_tuple
    )
    AstropyLoader.add_constructor(
        "tag:yaml.org,2002:python/unicode", AstropyLoader._construct_python_unicode
    )
    AstropyLoader.add_constructor("!astropy.units.Unit", _unit_constructor)
    AstropyLoader.add_constructor("!numpy.ndarray", _ndarray_constructor)
    AstropyLoader.add_constructor("!numpy.void", _void_constructor)
    AstropyLoader.add_constructor("!astropy.time.Time", _time_constructor)
    AstropyLoader.add_constructor("!astropy.time.TimeDelta", _timedelta_constructor)
    AstropyLoader.add_constructor(
        "!astropy.coordinates.sky_coordinate.SkyCoord", _skycoord_constructor
    )
    AstropyLoader.add_constructor(
        "!astropy.table.SerializedColumn", _serialized_column_constructor
    )

    for cls, tag in (
        (u.Quantity, "!astropy.units.Quantity"),
        (u.Magnitude, "!astropy.units.Magnitude"),
        (u.Dex, "!astropy.units.Dex"),
        (u.Decibel, "!astropy.units.Decibel"),
        (coords.Angle, "!astropy.coordinates.Angle"),
        (coords.Latitude, "!astropy.coordinates.Latitude"),
        (coords.Longitude, "!astropy.coordinates.Longitude"),
        (coords.EarthLocation, "!astropy.coordinates.earth.EarthLocation"),
    ):
        AstropyDumper.add_multi_representer(cls, _quantity_representer(tag))
        AstropyLoader.add_constructor(tag, _quantity_constructor(cls))

    for cls in list(coords.representation.REPRESENTATION_CLASSES.values()) + list(
        coords.representation.DIFFERENTIAL_CLASSES.values()
    ):
        name = cls.__name__
        # Add representations/differentials defined in astropy.
        if name in coords.representation.__all__:
            tag = "!astropy.coordinates." + name
            AstropyDumper.add_multi_representer(cls, _quantity_representer(tag))
            AstropyLoader.add_constructor(tag, _quantity_constructor(cls))

    def load(stream):
        """Parse the first YAML document in a stream using the AstropyLoader and
        produce the corresponding Python object.

        Parameters
        ----------
        stream : str or file-like
            YAML input

        Returns
        -------
        obj : object
            Object corresponding to YAML document
        """
        return yaml.load(stream, Loader=AstropyLoader)

    def load_all(stream):
        """Parse the all YAML documents in a stream using the AstropyLoader class and
        produce the corresponding Python object.

        Parameters
        ----------
        stream : str or file-like
            YAML input

        Returns
        -------
        obj : object
            Object corresponding to YAML document

        """
        return yaml.load_all(stream, Loader=AstropyLoader)

    def dump(data, stream=None, **kwargs):
        """Serialize a Python object into a YAML stream using the AstropyDumper class.
        If stream is None, return the produced string instead.

        Parameters
        ----------
        data : object
            Object to serialize to YAML
        stream : file-like, optional
            YAML output (if not supplied a string is returned)
        **kwargs
            Other keyword arguments that get passed to yaml.dump()

        Returns
        -------
        out : str or None
            If no ``stream`` is supplied then YAML output is returned as str

        """
        kwargs["Dumper"] = AstropyDumper
        kwargs.setdefault("default_flow_style", None)
        return yaml.dump(data, stream=stream, **kwargs)