text: # Licensed under a 3-clause BSD style license - see LICENSE.rst
  """
  The astropy.time package provides functionality for manipulating times and
  dates. Specific emphasis is placed on supporting time scales (e.g. UTC, TAI,
  UT1) and time representations (e.g. JD, MJD, ISO 8601) that are used in
  astronomy.
  """
  
  from __future__ import (absolute_import, division, print_function,
                          unicode_literals)
  
  import fnmatch
  import itertools
  import time
  
  from datetime import datetime
  
  import numpy as np
  
  from .. import units as u
  from ..utils import deprecated, deprecated_attribute
  from ..utils.compat.misc import override__dir__
  from ..extern import six
  
  __all__ = ['Time', 'TimeDelta', 'TimeFormat', 'TimeJD', 'TimeMJD',
             'TimeFromEpoch', 'TimeUnix', 'TimeCxcSec', 'TimeGPS', 'TimePlotDate',
             'TimeDatetime',
             'TimeString', 'TimeISO', 'TimeISOT', 'TimeYearDayTime', 'TimeEpochDate',
             'TimeBesselianEpoch', 'TimeJulianEpoch', 'TimeDeltaFormat',
             'TimeDeltaSec', 'TimeDeltaJD', 'ScaleValueError',
             'OperandTypeError', 'TimeEpochDateString',
             'TimeBesselianEpochString', 'TimeJulianEpochString',
             'TIME_FORMATS', 'TIME_DELTA_FORMATS', 'TIME_SCALES',
             'TIME_DELTA_SCALES']
  
  __doctest_skip__ = ['TimePlotDate']
  
  try:
      # Not guaranteed available at setup time
      from . import erfa_time
  except ImportError:
      if not _ASTROPY_SETUP_:
          raise
  
  MJD_ZERO = 2400000.5
  SECS_PER_DAY = 86400
  
  # These both get filled in at end after TimeFormat subclasses defined
  TIME_FORMATS = {}
  TIME_DELTA_FORMATS = {}
  
  TIME_SCALES = ('tai', 'tcb', 'tcg', 'tdb', 'tt', 'ut1', 'utc')
  TIME_DELTA_SCALES = ('tai',)
  
  MULTI_HOPS = {('tai', 'tcb'): ('tt', 'tdb'),
                ('tai', 'tcg'): ('tt',),
                ('tai', 'ut1'): ('utc',),
                ('tai', 'tdb'): ('tt',),
                ('tcb', 'tcg'): ('tdb', 'tt'),
                ('tcb', 'tt'): ('tdb',),
                ('tcb', 'ut1'): ('tdb', 'tt', 'tai', 'utc'),
                ('tcb', 'utc'): ('tdb', 'tt', 'tai'),
                ('tcg', 'tdb'): ('tt',),
                ('tcg', 'ut1'): ('tt', 'tai', 'utc'),
                ('tcg', 'utc'): ('tt', 'tai'),
                ('tdb', 'ut1'): ('tt', 'tai', 'utc'),
                ('tdb', 'utc'): ('tt', 'tai'),
                ('tt', 'ut1'): ('tai', 'utc'),
                ('tt', 'utc'): ('tai',),
                }
  
  
  class Time(object):
      """
      Represent and manipulate times and dates for astronomy.
  
      A `Time` object is initialized with one or more times in the ``val``
      argument.  The input times in ``val`` must conform to the specified
      ``format`` and must correspond to the specified time ``scale``.  The
      optional ``val2`` time input should be supplied only for numeric input
      formats (e.g. JD) where very high precision (better than 64-bit precision)
      is required.
  
      Parameters
      ----------
      val : sequence, str, number, or `~astropy.time.Time` object
          Value(s) to initialize the time or times.
      val2 : sequence, str, or number; optional
          Value(s) to initialize the time or times.
      format : str, optional
          Format of input value(s)
      scale : str, optional
          Time scale of input value(s)
      precision : int, optional
          Digits of precision in string representation of time
      in_subfmt : str, optional
          Subformat for inputting string times
      out_subfmt : str, optional
          Subformat for outputting string times
      lat : float, optional
          Earth latitude of observer (decimal degrees)
      lon : float, optional
          Earth longitude of observer (decimal degrees)
      copy : bool, optional
          Make a copy of the input values
      """
  
      is_scalar = deprecated_attribute(name='is_scalar', since='0.3',
                                       alternative='isscalar')
  
      _precision = 3  # Precision when for seconds as floating point
      _in_subfmt = '*'  # Select subformat for inputting string times
      _out_subfmt = '*'  # Select subformat for outputting string times
  
      SCALES = TIME_SCALES
      """List of time scales"""
  
      FORMATS = TIME_FORMATS
      """Dict of time formats"""
  
      # Make sure that reverse arithmetic (e.g., TimeDelta.__rmul__)
      # gets called over the __mul__ of Numpy arrays.
      __array_priority__ = 20000
  
      def __new__(cls, val, val2=None, format=None, scale=None,
                  precision=None, in_subfmt=None, out_subfmt=None,
                  lat=0.0, lon=0.0, copy=False):
  
          if isinstance(val, cls):
              self = val.replicate(format=format, copy=copy)
          else:
              self = super(Time, cls).__new__(cls)
          return self
  
      def __init__(self, val, val2=None, format=None, scale=None,
                   precision=None, in_subfmt=None, out_subfmt=None,
                   lat=0.0, lon=0.0, copy=False):
  
          self.lat = lat
          self.lon = lon
          if precision is not None:
              self.precision = precision
          if in_subfmt is not None:
              self.in_subfmt = in_subfmt
          if out_subfmt is not None:
              self.out_subfmt = out_subfmt
  
          if isinstance(val, self.__class__):
              if scale is not None:
                  self._set_scale(scale)
          else:
              self._init_from_vals(val, val2, format, scale, copy)
  
      def _init_from_vals(self, val, val2, format, scale, copy):
          """
          Set the internal _format, scale, and _time attrs from user
          inputs.  This handles coercion into the correct shapes and
          some basic input validation.
          """
  
          # check whether input is some form of list of Time objects,
          # since these should be treated separately
          try:
              val0 = val[0]
          except:
              isiterable_of_times = False
          else:
              isiterable_of_times = isinstance(val0, self.__class__)
  
          if isiterable_of_times:
              if val2 is not None:
                  raise ValueError(
                      'non-None second value for list of {0!r} objects'
                      .format(self.__class__.__name__))
              self.isscalar = False
          else:
              # Coerce val into a 1-d array
              val, val_ndim = _make_1d_array(val, copy)
  
              self.isscalar = (val_ndim == 0)
  
              # If val2 is not None, ensure consistency
              if val2 is not None:
                  val2, val2_ndim = _make_1d_array(val2, copy)
  
                  if val_ndim != val2_ndim:
                      raise ValueError('Input val and val2 must have same '
                                       'dimensions')
  
                  if len(val) != len(val2):
                      raise ValueError('Input val and val2 must match in length')
  
          if scale is not None:
              if not (isinstance(scale, six.string_types) and
                      scale.lower() in self.SCALES):
                  raise ScaleValueError("Scale {0} is not in the allowed scales "
                                        "{1}".format(repr(scale),
                                                     sorted(self.SCALES)))
  
          # Parse / convert input values into internal jd1, jd2 based on format
          self._time = self._get_time_fmt(val, val2, format, scale)
          self._format = self._time.name
  
      def _get_time_fmt(self, val, val2, format, scale):
          """
          Given the supplied val, val2, format and scale try to instantiate
          the corresponding TimeFormat class to convert the input values into
          the internal jd1 and jd2.
  
          If format is None and the input is a string-type or object array then guess
          available formats and stop when one matches.
          """
  
          if format is None and (isinstance(val[0], self.__class__) or
                                 val.dtype.kind in ('S', 'U', 'O')):
              formats = [(name, cls) for name, cls in self.FORMATS.items()
                         if issubclass(cls, TimeUnique)]
              err_msg = 'any of the formats where the format keyword is optional {0}'.format(
                  [name for name, cls in formats])
          elif not (isinstance(format, six.string_types) and
                    format.lower() in self.FORMATS):
              if format is None:
                  raise ValueError("No time format was given, and the input is "
                                   "not unique")
              else:
                  raise ValueError("Format {0} is not one of the allowed "
                                   "formats {1}".format(repr(format),
                                                        sorted(self.FORMATS)))
          else:
              formats = [(format, self.FORMATS[format])]
              err_msg = 'the format class {0}'.format(format)
  
          for format, FormatClass in formats:
              try:
                  return FormatClass(val, val2, scale, self.precision,
                                     self.in_subfmt, self.out_subfmt)
              except (ValueError, TypeError):
                  pass
          else:
              raise ValueError('Input values did not match {0}'.format(err_msg))
  
      @classmethod
      def now(cls):
          """
          Creates a new object corresponding to the instant in time this
          method is called.
  
          .. note::
              "Now" is determined using the `datetime.utcnow` function, so
              its accuracy and precision is determined by that function.
              Generally that means it is set by the accuracy of your
              system clock.
  
          Returns
          -------
          nowtime
              A new `Time` object (or a subclass of `Time` if this is called from
              such a subclass) at the current time.
          """
          # call `utcnow` immediately to be sure it's ASAP
          dtnow = datetime.utcnow()
          return cls(val=dtnow, format='datetime', scale='utc')
  
      @property
      def format(self):
          """Time format"""
          return self._format
  
      def __repr__(self):
          return ("<{0} object: scale='{1}' format='{2}' value={3}>"
                  .format(self.__class__.__name__, self.scale, self.format,
                          getattr(self, self.format)))
  
      def __str__(self):
          return str(getattr(self, self.format))
  
      @property
      def scale(self):
          """Time scale"""
          return self._time.scale
  
      def _set_scale(self, scale):
          """
          This is the key routine that actually does time scale conversions.
          This is not public and not connected to the read-only scale property.
          """
  
          if scale == self.scale:
              return
          if scale not in self.SCALES:
              raise ValueError("Scale {0} is not in the allowed scales {1}"
                               .format(repr(scale), sorted(self.SCALES)))
  
          # Determine the chain of scale transformations to get from the current
          # scale to the new scale.  MULTI_HOPS contains a dict of all
          # transformations (xforms) that require intermediate xforms.
          # The MULTI_HOPS dict is keyed by (sys1, sys2) in alphabetical order.
          xform = (self.scale, scale)
          xform_sort = tuple(sorted(xform))
          multi = MULTI_HOPS.get(xform_sort, ())
          xforms = xform_sort[:1] + multi + xform_sort[-1:]
          # If we made the reverse xform then reverse it now.
          if xform_sort != xform:
              xforms = tuple(reversed(xforms))
  
          # Transform the jd1,2 pairs through the chain of scale xforms.
          jd1, jd2 = self._time.jd1, self._time.jd2
          for sys1, sys2 in six.moves.zip(xforms[:-1], xforms[1:]):
              # Some xforms require an additional delta_ argument that is
              # provided through Time methods.  These values may be supplied by
              # the user or computed based on available approximations.  The
              # get_delta_ methods are available for only one combination of
              # sys1, sys2 though the property applies for both xform directions.
              args = [jd1, jd2]
              for sys12 in ((sys1, sys2), (sys2, sys1)):
                  dt_method = '_get_delta_{0}_{1}'.format(*sys12)
                  try:
                      get_dt = getattr(self, dt_method)
                  except AttributeError:
                      pass
                  else:
                      args.append(get_dt(jd1, jd2))
                      break
  
              conv_func = getattr(erfa_time, sys1 + '_' + sys2)
              jd1, jd2 = conv_func(*args)
          self._time = self.FORMATS[self.format](jd1, jd2, scale, self.precision,
                                                 self.in_subfmt, self.out_subfmt,
                                                 from_jd=True)
  
      @property
      def precision(self):
          """
          Decimal precision when outputting seconds as floating point (int
          value between 0 and 9 inclusive).
          """
          return self._precision
  
      @precision.setter
      def precision(self, val):
          if not isinstance(val, int) or val < 0 or val > 9:
              raise ValueError('precision attribute must be an int between '
                               '0 and 9')
          self._precision = val
  
      @property
      def in_subfmt(self):
          """
          Unix wildcard pattern to select subformats for parsing string input
          times
          """
          return self._in_subfmt
  
      @in_subfmt.setter
      def in_subfmt(self, val):
          if not isinstance(val, six.string_types):
              raise ValueError('in_subfmt attribute must be a string')
          self._in_subfmt = val
  
      @property
      def out_subfmt(self):
          """
          Unix wildcard pattern to select subformats for outputting times
          """
          return self._out_subfmt
  
      @out_subfmt.setter
      def out_subfmt(self, val):
          if not isinstance(val, six.string_types):
              raise ValueError('out_subfmt attribute must be a string')
          self._out_subfmt = val
  
      def _shaped_like_input(self, values):
          if self.isscalar:
              value0 = values[0]
              try:
                  return value0.tolist()
              except AttributeError:
                  return value0
          else:
              return values
  
      @property
      def jd1(self):
          """
          First of the two doubles that internally store time value(s) in JD
          """
          return self._shaped_like_input(self._time.jd1)
  
      @property
      def jd2(self):
          """
          Second of the two doubles that internally store time value(s) in JD
          """
          return self._shaped_like_input(self._time.jd2)
  
      @property
      def value(self):
          """Time value(s) in current format"""
          return self._shaped_like_input(self._time.value)
  
      @property
      @deprecated("0.3", name="val", alternative="value")
      def val(self):
          return self.value
  
      @property
      @deprecated("0.3", name="vals", alternative="value")
      def vals(self):
          """Time values in current format as a numpy array"""
          return self.value
  
      def copy(self, format=None):
          """
          Return a fully independent copy the Time object, optionally changing
          the format.
  
          If ``format`` is supplied then the time format of the returned Time
          object will be set accordingly, otherwise it will be unchanged from the
          original.
  
          In this method a full copy of the internal time arrays will be made.
          The internal time arrays are normally not changeable by the user so in
          most cases the ``replicate()`` method should be used.
  
          Parameters
          ----------
          format : str, optional
              Time format of the copy.
  
          Returns
          -------
          tm: Time object
              Copy of this object
          """
          return self.replicate(format, copy=True)
  
      def replicate(self, format=None, copy=False):
          """
          Return a replica of the Time object, optionally changing the format.
  
          If ``format`` is supplied then the time format of the returned Time
          object will be set accordingly, otherwise it will be unchanged from the
          original.
  
          If ``copy`` is set to True then a full copy of the internal time arrays
          will be made.  By default the replica will use a reference to the
          original arrays when possible to save memory.  The internal time arrays
          are normally not changeable by the user so in most cases it should not
          be necessary to set ``copy`` to True.
  
          The convenience method copy() is available in which ``copy`` is True
          by default.
  
          Parameters
          ----------
          format : str, optional
              Time format of the replica.
          copy : bool, optional
              Return a true copy instead of using references where possible.
  
          Returns
          -------
          tm: Time object
              Replica of this object
          """
          # To avoid recalculating integer day + fraction, no longer just
          # instantiate a new class instance, but rather do the steps by hand.
          # This also avoids quite a bit of unnecessary work in __init__
          ###  tm = self.__class__(self._time.jd1, self._time.jd2,
          ###                      format='jd', scale=self.scale, copy=copy)
          tm = super(Time, self.__class__).__new__(self.__class__)
          tm._time = TimeJD(self._time.jd1.copy() if copy else self._time.jd1,
                            self._time.jd2.copy() if copy else self._time.jd2,
                            self.scale, self.precision,
                            self.in_subfmt, self.out_subfmt, from_jd=True)
          # Optional or non-arg attributes
          attrs = ('isscalar', '_delta_ut1_utc', '_delta_tdb_tt',
                   'lat', 'lon', 'precision', 'in_subfmt', 'out_subfmt')
          for attr in attrs:
              try:
                  setattr(tm, attr, getattr(self, attr))
              except AttributeError:
                  pass
  
          if format is None:
              format = self.format
  
          # Make the new internal _time object corresponding to the format
          # in the copy.  If the format is unchanged this process is lightweight
          # and does not create any new arrays.
  
          NewFormat = tm.FORMATS[format]
          # If the new format class has a "scale" class attr then that scale is
          # required and the input jd1,2 has to be converted first.
          if hasattr(NewFormat, 'required_scale'):
              scale = NewFormat.required_scale
              new = getattr(tm, scale)  # self JDs converted to scale
              tm._time = NewFormat(new._time.jd1, new._time.jd2, scale,
                                   tm.precision,
                                   tm.in_subfmt, tm.out_subfmt,
                                   from_jd=True)
          else:
              tm._time = NewFormat(tm._time.jd1, tm._time.jd2,
                                   tm.scale, tm.precision,
                                   tm.in_subfmt, tm.out_subfmt,
                                   from_jd=True)
          tm._format = format
  
          return tm
  
      def __copy__(self):
          """
          Overrides the default behavior of the `copy.copy` function in
          the python stdlib to behave like `Time.copy`. Does *not* make a
          copy of the JD arrays - only copies by reference.
          """
          return self.replicate()
  
      def __deepcopy__(self, memo):
          """
          Overrides the default behavior of the `copy.deepcopy` function
          in the python stdlib to behave like `Time.copy`. Does make a
          copy of the JD arrays.
          """
          return self.copy()
  
      def __getitem__(self, item):
          if self.isscalar:
              raise TypeError('scalar {0!r} object is not subscriptable.'.format(
                  self.__class__.__name__))
          tm = self.replicate()
          jd1 = self._time.jd1[item]
          tm.isscalar = jd1.ndim == 0
  
          def keepasarray(x, isscalar=tm.isscalar):
              return np.array([x]) if isscalar else x
          tm._time.jd1 = keepasarray(jd1)
          tm._time.jd2 = keepasarray(self._time.jd2[item])
          attrs = ('_delta_ut1_utc', '_delta_tdb_tt')
          for attr in attrs:
              if hasattr(self, attr):
                  val = getattr(self, attr)
                  setattr(tm, attr, keepasarray(val[item]))
          return tm
  
      def __getattr__(self, attr):
          """
          Get dynamic attributes to output format or do timescale conversion.
          """
          if attr in self.SCALES:
              tm = self.replicate()
              tm._set_scale(attr)
              return tm
  
          elif attr in self.FORMATS:
              tm = self.replicate(format=attr)
              if hasattr(self.FORMATS[attr], 'epoch_scale'):
                  tm._set_scale(self.FORMATS[attr].epoch_scale)
              if self.isscalar:
                  out = tm._time.value[0]
                  # convert to native python for non-object dtypes
                  if tm._time.value.dtype.kind != 'O':
                      out = out.tolist()
              else:
                  out = tm.value
              return out
  
          else:
              # Should raise AttributeError
              return self.__getattribute__(attr)
  
      @override__dir__
      def __dir__(self):
          result = set(self.SCALES)
          result.update(self.FORMATS)
          return result
  
      def _match_len(self, val):
          """
          Ensure that `val` is matched to length of self.  If val has length 1
          then broadcast, otherwise cast to double and make sure length matches.
          """
          val, ndim = _make_1d_array(val, copy=True)  # be conservative and copy
          if len(val) == 1:
              oval = val
              val = np.empty(len(self._time), dtype=np.double)
              val[:] = oval
          elif len(val) != len(self._time):
              raise ValueError('Attribute length must match Time object length')
          return val
  
      def get_delta_ut1_utc(self, iers_table=None, return_status=False):
          """Find UT1 - UTC differences by interpolating in IERS Table.
  
          Parameters
          ----------
          iers_table : `~astropy.utils.iers.IERS` table, optional
              Table containing UT1-UTC differences from IERS Bulletins A and/or B
              If None, use default version (see `~astropy.utils.iers`)
          return_status : bool
              Whether to return status values.  If `False` (default),
              iers raises `IndexError` if any time is out of the range covered
              by the IERS table.
  
          Returns
          -------
          ut1_utc: float or float array
              UT1-UTC, interpolated in IERS Table
          status: int or int array
              Status values (if `return_status`=`True`)::
              `~astropy.utils.iers.FROM_IERS_B`
              `~astropy.utils.iers.FROM_IERS_A`
              `~astropy.utils.iers.FROM_IERS_A_PREDICTION`
              `~astropy.utils.iers.TIME_BEFORE_IERS_RANGE`
              `~astropy.utils.iers.TIME_BEYOND_IERS_RANGE`
  
          Notes
          -----
          In normal usage, UT1-UTC differences are calculated automatically
          on the first instance ut1 is needed.
  
          Examples
          --------
          To check in code whether any times are before the IERS table range::
  
              >>> from astropy.utils.iers import TIME_BEFORE_IERS_RANGE
              >>> t = Time(['1961-01-01', '2000-01-01'], scale='utc')
              >>> delta, status = t.get_delta_ut1_utc(return_status=True)
              >>> status == TIME_BEFORE_IERS_RANGE
              array([ True, False], dtype=bool)
  
          To use an updated IERS A bulletin to calculate UT1-UTC
          (see also `~astropy.utils.iers`)::
  
              >>> from astropy.utils.iers import IERS_A, IERS_A_URL
              >>> from astropy.utils.data import download_file
              >>> iers_a_file = download_file(IERS_A_URL,
              ...                             cache=True)        # doctest: +REMOTE_DATA
              >>> iers_a = IERS_A.open(iers_a_file)              # doctest: +REMOTE_DATA
              >>> t.delta_ut1_utc = t.get_delta_ut1_utc(iers_a)  # doctest: +REMOTE_DATA
  
          The delta_ut1_utc property will be used to calculate t.ut1;
          raises IndexError if any of the times is out of range.
  
          """
          if iers_table is None:
              from ..utils.iers import IERS
              iers_table = IERS.open()
  
          return iers_table.ut1_utc(self.utc, return_status=return_status)
  
      # Property for ERFA DUT arg = UT1 - UTC
      def _get_delta_ut1_utc(self, jd1=None, jd2=None):
          """
          Get ERFA DUT arg = UT1 - UTC.  This getter takes optional jd1 and
          jd2 args because it gets called that way when converting time scales.
          If delta_ut1_utc is not yet set, this will interpolate them from the
          the IERS table.
          """
  
          # Sec. 4.3.1: the arg DUT is the quantity delta_UT1 = UT1 - UTC in
          # seconds. It is obtained from tables published by the IERS.
          if not hasattr(self, '_delta_ut1_utc'):
              from ..utils.iers import IERS
              iers_table = IERS.open()
              # jd1, jd2 are normally set (see above), except if delta_ut1_utc
              # is access directly; ensure we behave as expected for that case
              if jd1 is None:
                  self_utc = self.utc
                  jd1, jd2 = self_utc.jd1, self_utc.jd2
  
              self._set_delta_ut1_utc(iers_table.ut1_utc(jd1, jd2))
  
          return self._delta_ut1_utc
  
      def _set_delta_ut1_utc(self, val):
          self._delta_ut1_utc = self._match_len(val)
  
      # Note can't use @property because _get_delta_tdb_tt is explicitly
      # called with the optional jd1 and jd2 args.
      delta_ut1_utc = property(_get_delta_ut1_utc, _set_delta_ut1_utc)
      """UT1 - UTC time scale offset"""
  
      # Property for ERFA DTR arg = TDB - TT
      def _get_delta_tdb_tt(self, jd1=None, jd2=None):
          if not hasattr(self, '_delta_tdb_tt'):
              # If jd1 and jd2 are not provided (which is the case for property
              # attribute access) then require that the time scale is TT or TDB.
              # Otherwise the computations here are not correct.
              if jd1 is None or jd2 is None:
                  if self.scale not in ('tt', 'tdb'):
                      raise ValueError('Accessing the delta_tdb_tt attribute '
                                       'is only possible for TT or TDB time '
                                       'scales')
                  else:
                      jd1 = self._time.jd1
                      jd2 = self._time.jd2
  
              # First go from the current input time (which is either
              # TDB or TT) to an approximate UT1.  Since TT and TDB are
              # pretty close (few msec?), assume TT.  Similarly, since the
              # UT1 terms are very small, use UTC instead of UT1.
              njd1, njd2 = erfa_time.tt_tai(jd1, jd2)
              njd1, njd2 = erfa_time.tai_utc(njd1, njd2)
              # subtract 0.5, so UT is fraction of the day from midnight
              ut = day_frac(njd1 - 0.5, njd2)[1]
  
              # Compute geodetic params needed for d_tdb_tt()
              phi = np.radians(self.lat)
              elon = np.radians(self.lon)
  
              # Compute geocentric vector in km (era_gd2gc returns m)
              xyz = erfa_time.era_gd2gc(1, elon, phi, 0.0) / 1000.0
              rxy = np.hypot(xyz[0], xyz[1])
              z = xyz[2]
  
              self._delta_tdb_tt = erfa_time.d_tdb_tt(jd1, jd2, ut, elon, rxy, z)
  
          return self._delta_tdb_tt
  
      def _set_delta_tdb_tt(self, val):
          self._delta_tdb_tt = self._match_len(val)
  
      # Note can't use @property because _get_delta_tdb_tt is explicitly
      # called with the optional jd1 and jd2 args.
      delta_tdb_tt = property(_get_delta_tdb_tt, _set_delta_tdb_tt)
      """TDB - TT time scale offset"""
  
      def __len__(self):
          return len(self.jd1)
  
      def __sub__(self, other):
          self_tai = self.tai
          if not isinstance(other, Time):
              try:
                  other = TimeDelta(other)
              except:
                  raise OperandTypeError(self, other)
  
          other_tai = other.tai
  
          # T      - Tdelta = T
          # Tdelta - Tdelta = Tdelta
          # T      - T      = Tdelta
          # Tdelta - T      = error
          self_time = not isinstance(self, TimeDelta)
          other_time = not isinstance(other, TimeDelta)
  
          jd1 = self_tai._time.jd1 - other_tai._time.jd1
          jd2 = self_tai._time.jd2 - other_tai._time.jd2
          if other_time:
              if self_time:
                  # Note: jd1 is exact; jd2 carry-over done in TimeDelta init.
                  tai = TimeDelta(jd1, jd2, format='jd')
                  tai.isscalar = self_tai.isscalar and other_tai.isscalar
                  return tai
              else:
                  raise OperandTypeError(self, other)
  
          tai = self_tai.replicate()
          tai._time.jd1, tai._time.jd2 = day_frac(jd1, jd2)
          tai.isscalar = self_tai.isscalar and other_tai.isscalar
  
          if self_time:
              # remove attributes that are invalidated by changing time
              for attr in ('_delta_ut1_utc', '_delta_tdb_tt'):
                  if hasattr(tai, attr):
                      delattr(tai, attr)
              return getattr(tai, self.scale)
  
          return tai
  
      def __add__(self, other):
          self_tai = self.tai
          if not isinstance(other, Time):
              try:
                  other = TimeDelta(other)
              except:
                  raise OperandTypeError(self, other)
  
          other_tai = other.tai
  
          # T      + Tdelta = T
          # Tdelta + Tdelta = Tdelta
          # T      + T      = error
          # Tdelta + T      = T
          self_time = not isinstance(self, TimeDelta)
          other_time = not isinstance(other, TimeDelta)
          if self_time and other_time:
              raise OperandTypeError(self, other)
  
          jd1 = self_tai._time.jd1 + other_tai._time.jd1
          jd2 = self_tai._time.jd2 + other_tai._time.jd2
          tai = (other_tai if other_time else self_tai).replicate()
          tai._time.jd1, tai._time.jd2 = day_frac(jd1, jd2)
          tai.isscalar = self_tai.isscalar and other_tai.isscalar
  
          if self_time or other_time:
              # remove attributes that are invalidated by changing time
              for attr in ('_delta_ut1_utc', '_delta_tdb_tt'):
                  if hasattr(tai, attr):
                      delattr(tai, attr)
  
              return getattr(tai, other.scale if other_time else self.scale)
  
          return tai
  
      def __radd__(self, other):
          return self.__add__(other)
  
      def __rsub__(self, other):
          out = self.__sub__(other)
          return -out
  
      def _tai_difference(self, other, op=None):
          """If other is of same class as self, return difference in TAI.
          Otherwise, raise OperandTypeError.
          """
          if other.__class__ is not self.__class__:
              try:
                  other = self.__class__(other)
              except:
                  raise OperandTypeError(self, other, op)
          self_tai = self.tai
          other_tai = other.tai
          return (self_tai.jd1 - other_tai.jd1) + (self_tai.jd2 - other_tai.jd2)
  
      def __lt__(self, other):
          return self._tai_difference(other, '<') < 0.
  
      def __le__(self, other):
          return self._tai_difference(other, '<=') <= 0.
  
      def __eq__(self, other):
          return self._tai_difference(other, '==') == 0.
  
      def __ne__(self, other):
          return self._tai_difference(other, '!=') != 0.
  
      def __gt__(self, other):
          return self._tai_difference(other, '>') > 0.
  
      def __ge__(self, other):
          return self._tai_difference(other, '>=') >= 0.
  
  
  class TimeDelta(Time):
      """
      Represent the time difference between two times.
  
      A TimeDelta object is initialized with one or more times in the ``val``
      argument.  The input times in ``val`` must conform to the specified
      ``format``.  The optional ``val2`` time input should be supplied only for
      numeric input formats (e.g. JD) where very high precision (better than
      64-bit precision) is required.
  
      Parameters
      ----------
      val : numpy ndarray, list, str, number, or `~astropy.time.TimeDelta` object
          Data to initialize table.
      val2 : numpy ndarray, list, str, or number; optional
          Data to initialize table.
      format : str, optional
          Format of input value(s)
      scale : str, optional
          Time scale of input value(s)
      copy : bool, optional
          Make a copy of the input values
      """
      SCALES = TIME_DELTA_SCALES
      """List of time delta scales"""
  
      FORMATS = TIME_DELTA_FORMATS
      """Dict of time delta formats"""
  
      def __init__(self, val, val2=None, format=None, scale=None, copy=False):
          # Note: scale is not used but is needed because of the inheritance
          # from Time.
          if not isinstance(val, self.__class__):
              if format is None:
                  try:
                      val = val.to(u.day)
                      if val2 is not None:
                          val2 = val2.to(u.day)
                  except:
                      raise ValueError('Only Quantities with Time units can '
                                       'be used to initiate {0} instances .'
                                       .format(self.__class__.__name__))
                  format = 'jd'
  
              self._init_from_vals(val, val2, format, 'tai', copy)
  
      def __neg__(self):
          """Negation of a `TimeDelta` object."""
          new = self.copy()
          new._time.jd1 = -self._time.jd1
          new._time.jd2 = -self._time.jd2
          return new
  
      def __abs__(self):
          """Absolute value of a `TimeDelta` object."""
          jd1, jd2 = self._time.jd1, self._time.jd2
          negative = jd1 + jd2 < 0
          new = self.copy()
          new._time.jd1 = np.where(negative, -jd1, jd1)
          new._time.jd2 = np.where(negative, -jd2, jd2)
          return new
  
      def __mul__(self, other):
          """Multiplication of `TimeDelta` objects by numbers/arrays."""
          # check needed since otherwise the self.jd1 * other multiplication
          # would enter here again (via __rmul__)
          if isinstance(other, Time):
              raise OperandTypeError(self, other, '*')
  
          try:   # convert to straight float if dimensionless quantity
              other = other.to(1)
          except:
              pass
  
          try:
              jd1, jd2 = day_frac(self.jd1, self.jd2, factor=other)
          except Exception as err:  # try downgrading self to a quantity
              try:
                  return self.to(u.day) * other
              except:
                  raise err
  
          out = TimeDelta(jd1, jd2, format='jd')
          if self.format != 'jd':
              out = out.replicate(format=self.format)
          return out
  
      def __rmul__(self, other):
          """Multiplication of numbers/arrays with `TimeDelta` objects."""
          return self.__mul__(other)
  
      def __div__(self, other):
          """Division of `TimeDelta` objects by numbers/arrays."""
          return self.__truediv__(other)
  
      def __rdiv__(self, other):
          """Division by `TimeDelta` objects of numbers/arrays."""
          return self.__rtruediv__(other)
  
      def __truediv__(self, other):
          """Division of `TimeDelta` objects by numbers/arrays."""
          # cannot do __mul__(1./other) as that looses precision
          try:
              other = other.to(1)
          except:
              pass
  
          try:   # convert to straight float if dimensionless quantity
              jd1, jd2 = day_frac(self.jd1, self.jd2, divisor=other)
          except Exception as err:  # try downgrading self to a quantity
              try:
                  return self.to(u.day) / other
              except:
                  raise err
  
          out = TimeDelta(jd1, jd2, format='jd')
  
          if self.format != 'jd':
              out = out.replicate(format=self.format)
          return out
  
      def __rtruediv__(self, other):
          """Division by `TimeDelta` objects of numbers/arrays."""
          return other / self.to(u.day)
  
      def to(self, *args, **kwargs):
          return u.Quantity(self._shaped_like_input(self._time.jd1 +
                                                    self._time.jd2),
                            u.day).to(*args, **kwargs)
  
  
  class TimeFormat(object):
      """
      Base class for time representations.
  
      Parameters
      ----------
      val1 : numpy ndarray, list, str, or number
          Data to initialize table.
      val2 : numpy ndarray, list, str, or number; optional
          Data to initialize table.
      scale : str
          Time scale of input value(s)
      precision : int
          Precision for seconds as floating point
      in_subfmt : str
          Select subformat for inputting string times
      out_subfmt : str
          Select subformat for outputting string times
      from_jd : bool
          If true then val1, val2 are jd1, jd2
      """
      def __init__(self, val1, val2, scale, precision,
                   in_subfmt, out_subfmt, from_jd=False):
          self.scale = scale  # validation of scale done later with _check_scale
          self.precision = precision
          self.in_subfmt = in_subfmt
          self.out_subfmt = out_subfmt
  
          if from_jd:
              self.jd1 = val1
              self.jd2 = val2
          else:
              val1, val2 = self._check_val_type(val1, val2)
              self.set_jds(val1, val2)
  
      def __len__(self):
          return len(self.jd1)
  
      @property
      def scale(self):
          """Time scale"""
          self._scale = self._check_scale(self._scale)
          return self._scale
  
      @scale.setter
      def scale(self, val):
          self._scale = val
  
      def _check_val_type(self, val1, val2):
          """Input value validation, typically overridden by derived classes"""
          try:
              assert (val1.dtype == np.double and
                      (val2 is None or val2.dtype == np.double))
          except:
              raise TypeError('Input values for {0} class must be doubles'
                              .format(self.name))
  
          if hasattr(val1, 'to'):
              # set possibly scaled unit any quantities should be converted to
              _unit = u.CompositeUnit(getattr(self, 'unit', 1.), [u.day], [1])
              val1 = val1.to(_unit).value
              if val2 is not None:
                  val2 = val2.to(_unit).value
          else:
              if hasattr(val2, 'to'):
                  raise TypeError('Cannot mix float and Quantity inputs')
  
          if val2 is None:
              val2 = np.zeros_like(val1)
  
          return val1, val2
  
      def _check_scale(self, scale):
          """
          Return a validated scale value.
  
          If there is a class attribute 'scale' then that defines the default /
          required time scale for this format.  In this case if a scale value was
          provided that needs to match the class default, otherwise return
          the class default.
  
          Otherwise just make sure that scale is in the allowed list of
          scales.  Provide a different error message if None (no value) was
          supplied.
          """
          if hasattr(self.__class__, 'epoch_scale') and scale is None:
              scale = self.__class__.epoch_scale
  
          if scale not in TIME_SCALES:
              if scale is None:
                  raise ScaleValueError("No scale value supplied but it is "
                                        "required for class {0}"
                                        .format(self.__class__.__name__))
              raise ScaleValueError("Scale value '{0}' not in "
                                    "allowed values {1}"
                                    .format(scale, TIME_SCALES))
  
          return scale
  
      def set_jds(self, val1, val2):
          """
          Set internal jd1 and jd2 from val1 and val2.  Must be provided
          by derived classes.
          """
          raise NotImplementedError
  
      @property
      def value(self):
          """
          Return time representation from internal jd1 and jd2.  Must be
          provided by derived classes.
          """
          raise NotImplementedError
  
  
  class TimeJD(TimeFormat):
      """Julian Date time format"""
      name = 'jd'
  
      def set_jds(self, val1, val2):
          self._check_scale(self._scale)  # Validate scale.
          self.jd1, self.jd2 = day_frac(val1, val2)
  
      @property
      def value(self):
          return self.jd1 + self.jd2
  
  
  class TimeMJD(TimeFormat):
      """Modified Julian Date time format"""
      name = 'mjd'
  
      def set_jds(self, val1, val2):
          # TODO - this routine and vals should be Cythonized to follow the ERFA
          # convention of preserving precision by adding to the larger of the two
          # values in a vectorized operation.  But in most practical cases the
          # first one is probably biggest.
          self._check_scale(self._scale)  # Validate scale.
          self.jd1, self.jd2 = day_frac(val1, val2)
          self.jd1 += MJD_ZERO
  
      @property
      def value(self):
          return (self.jd1 - MJD_ZERO) + self.jd2
  
  
  class TimeFromEpoch(TimeFormat):
      """
      Base class for times that represent the interval from a particular
      epoch as a floating point multiple of a unit time interval (e.g. seconds
      or days).
      """
      def __init__(self, val1, val2, scale, precision,
                   in_subfmt, out_subfmt, from_jd=False):
          self.scale = scale
          # Initialize the reference epoch which is a single time defined in subclasses
          epoch = Time(self.epoch_val, self.epoch_val2, scale=self.epoch_scale,
                       format=self.epoch_format)
          self.epoch = epoch
  
          # Now create the TimeFormat object as normal
          super(TimeFromEpoch, self).__init__(val1, val2, scale, precision,
                                              in_subfmt, out_subfmt, from_jd)
  
      def set_jds(self, val1, val2):
          """
          Initialize the internal jd1 and jd2 attributes given val1 and val2.  For an
          TimeFromEpoch subclass like TimeUnix these will be floats giving the effective
          seconds since an epoch time (e.g. 1970-01-01 00:00:00).
          """
          # Form new JDs based on epoch time + time from epoch (converted to JD).
          # One subtlety that might not be obvious is that 1.000 Julian days in UTC
          # can be 86400 or 86401 seconds.  For the TimeUnix format the assumption
          # is that every day is exactly 86400 seconds, so in principle this
          # is doing the math incorrectly, *except* that it matches the definition
          # of Unix time which does not include leap seconds.
  
          # note: use divisor=1./self.unit, since this is either 1 or 1/86400,
          # and 1/86400 is not exactly representable as a float64, so multiplying
          # by that will cause rounding errors. (But inverting it as a float64
          # recovers the exact number)
          day, frac = day_frac(val1, val2, divisor=1. / self.unit)
  
          jd1 = self.epoch.jd1 + day
          jd2 = self.epoch.jd2 + frac
  
          # Create a temporary Time object corresponding to the current new (jd1, jd2) in
          # the epoch scale (e.g. UTC for TimeUnix) then convert that to the desired time
          # scale for this object.
          #
          # A known limitation is that the transform from self.epoch_scale to self.scale
          # cannot involve any metadata like lat or lon.
          tm = getattr(Time(jd1, jd2, scale=self.epoch_scale, format='jd'), self.scale)
  
          self.jd1 = tm.jd1
          self.jd2 = tm.jd2
  
      @property
      def value(self):
          # when we get here, getattr will already have ensured our scale
          # equals epoch scale, so we can just subtract the epoch and convert
          time_from_epoch = ((self.jd1 - self.epoch.jd1) +
                             (self.jd2 - self.epoch.jd2)) / self.unit
          return time_from_epoch
  
  
  class TimeUnix(TimeFromEpoch):
      """
      Unix time: seconds from 1970-01-01 00:00:00 UTC.
  
      NOTE: this quantity is not exactly unix time and differs from the strict
      POSIX definition by up to 1 second on days with a leap second.  POSIX
      unix time actually jumps backward by 1 second at midnight on leap second
      days while this class value is monotonically increasing at 86400 seconds
      per UTC day.
      """
      name = 'unix'
      unit = 1.0 / SECS_PER_DAY  # in days (1 day == 86400 seconds)
      epoch_val = '1970-01-01 00:00:00'
      epoch_val2 = None
      epoch_scale = 'utc'
      epoch_format = 'iso'
  
  
  class TimeCxcSec(TimeFromEpoch):
      """Chandra X-ray Center seconds from 1998-01-01 00:00:00 TT"""
      name = 'cxcsec'
      unit = 1.0 / SECS_PER_DAY  # in days (1 day == 86400 seconds)
      epoch_val = '1998-01-01 00:00:00'
      epoch_val2 = None
      epoch_scale = 'tt'
      epoch_format = 'iso'
  
  
  class TimeGPS(TimeFromEpoch):
      """GPS time: seconds from 1980-01-06 00:00:00 UTC
  
      GPS time includes leap seconds.  For details, see
      http://tycho.usno.navy.mil/gpstt.html
      """
      name = 'gps'
      unit = 1.0 / SECS_PER_DAY  # in days (1 day == 86400 seconds)
      epoch_val = '1980-01-06 00:00:19'
      # above epoch is the same as Time('1980-01-06 00:00:00', scale='utc').tai
      epoch_val2 = None
      epoch_scale = 'tai'
      epoch_format = 'iso'
  
  
  class TimePlotDate(TimeFromEpoch):
      """
      Matplotlib `~matplotlib.pyplot.plot_date` input: 1 + number of days from 0001-01-01 00:00:00 UTC
  
      This can be used directly in the matplotlib `~matplotlib.pyplot.plot_date` function::
  
        >>> import matplotlib.pyplot as plt
        >>> jyear = np.linspace(2000, 2001, 20)
        >>> t = Time(jyear, format='jyear', scale='utc')
        >>> plt.plot_date(t.plot_date, jyear)
        >>> plt.gcf().autofmt_xdate()  # orient date labels at a slant
        >>> plt.draw()
      """
      # This corresponds to the zero reference time for matplotlib plot_date().
      # Note that TAI and UTC are equivalent at the reference time.
      name = 'plot_date'
      unit = 1.0
      epoch_val = 1721424.5  # Time('0001-01-01 00:00:00', scale='tai').jd - 1
      epoch_val2 = None
      epoch_scale = 'utc'
      epoch_format = 'jd'
  
  
  class TimeUnique(TimeFormat):
      """
      Base class for time formats that can uniquely create a time object
      without requiring an explicit format specifier.  This class does
      nothing but provide inheritance to identify a class as unique.
      """
      pass
  
  
  class TimeAstropyTime(TimeUnique):
      """
      Instantiate date from an Astropy Time object (or list thereof).
  
      This is purely for instantiating from a Time object.  The output
      format is the same as the first time instance.
      """
      name = 'astropy_time'
  
      def __new__(cls, val1, val2, scale, precision,
                  in_subfmt, out_subfmt, from_jd=False):
          """
          Use __new__ instead of __init__ to output a class instance that
          is the same as the class of the first Time object in the list.
          """
  
          if not all(isinstance(val, Time) for val in val1):
              raise TypeError('Input values for {0} class must be datetime objects'
                              .format(cls.name))
  
          if scale is None:
              scale = val1[0].scale
          jd1 = np.concatenate([getattr(val, scale)._time.jd1 for val in val1])
          jd2 = np.concatenate([getattr(val, scale)._time.jd2 for val in val1])
          OutTimeFormat = val1[0]._time.__class__
          self = OutTimeFormat(jd1, jd2, scale, precision, in_subfmt, out_subfmt, from_jd=True)
  
          return self
  
  
  class TimeDatetime(TimeUnique):
      """
      Represent date as Python standard library `~datetime.datetime` object
  
      Example::
  
        >>> from datetime import datetime
        >>> t = Time(datetime(2000, 1, 2, 12, 0, 0), scale='utc')
        >>> t.iso
        '2000-01-02 12:00:00.000'
        >>> t.tt.datetime
        datetime.datetime(2000, 1, 2, 12, 1, 4, 184000)
      """
      name = 'datetime'
  
      def _check_val_type(self, val1, val2):
          # Note: don't care about val2 for this class
          try:
              assert all(isinstance(val, datetime) for val in val1)
          except:
              raise TypeError('Input values for {0} class must be '
                              'datetime objects'.format(self.name))
          return val1, None
  
      def set_jds(self, val1, val2):
          """Convert datetime object contained in val1 to jd1, jd2"""
          n_times = len(val1)
          iy = np.empty(n_times, dtype=np.intc)
          im = np.empty(n_times, dtype=np.intc)
          id = np.empty(n_times, dtype=np.intc)
          ihr = np.empty(n_times, dtype=np.intc)
          imin = np.empty(n_times, dtype=np.intc)
          dsec = np.empty(n_times, dtype=np.double)
  
          # Iterate through the datetime objects
          for i, val in enumerate(val1):
              iy[i] = val.year
              im[i] = val.month
              id[i] = val.day
              ihr[i] = val.hour
              imin[i] = val.minute
              dsec[i] = val.second + val.microsecond / 1e6
  
          self.jd1, self.jd2 = erfa_time.dtf_jd(self.scale.upper().encode('utf8'),
                                                iy, im, id, ihr, imin, dsec)
  
      @property
      def value(self):
          iys, ims, ids, ihmsfs = erfa_time.jd_dtf(self.scale.upper()
                                                   .encode('utf8'),
                                                   6,  # precision = 6 for microseconds
                                                   self.jd1, self.jd2)
  
          out = np.empty(len(self), dtype=np.object)
          idxs = itertools.count()
          for idx, iy, im, id, ihmsf in six.moves.zip(idxs, iys, ims, ids, ihmsfs):
              ihr, imin, isec, ifracsec = ihmsf
              out[idx] = datetime(int(iy), int(im), int(id),
                                  int(ihr), int(imin), int(isec), int(ifracsec))
  
          return out
  
  
  class TimeString(TimeUnique):
      """
      Base class for string-like time represetations.
  
      This class assumes that anything following the last decimal point to the
      right is a fraction of a second.
  
      This is a reference implementation can be made much faster with effort.
      """
      def _check_val_type(self, val1, val2):
          # Note: don't care about val2 for these classes
          try:
              assert val1.dtype.kind in ('S', 'U')
          except:
              raise TypeError('Input values for {0} class must be strings'
                              .format(self.name))
          return val1, None
  
      def set_jds(self, val1, val2):
          """Parse the time strings contained in val1 and set jd1, jd2"""
          n_times = len(val1)  # val1,2 already checked to have same len
          iy = np.empty(n_times, dtype=np.intc)
          im = np.empty(n_times, dtype=np.intc)
          id = np.empty(n_times, dtype=np.intc)
          ihr = np.empty(n_times, dtype=np.intc)
          imin = np.empty(n_times, dtype=np.intc)
          dsec = np.empty(n_times, dtype=np.double)
  
          # Select subformats based on current self.in_subfmt
          subfmts = self._select_subfmts(self.in_subfmt)
  
          for i, timestr in enumerate(val1):
              # Assume that anything following "." on the right side is a
              # floating fraction of a second.
              try:
                  idot = timestr.rindex('.')
              except:
                  fracsec = 0.0
              else:
                  timestr, fracsec = timestr[:idot], timestr[idot:]
                  fracsec = float(fracsec)
  
              for _, strptime_fmt, _ in subfmts:
                  try:
                      tm = time.strptime(timestr, strptime_fmt)
                  except ValueError:
                      pass
                  else:
                      iy[i] = tm.tm_year
                      im[i] = tm.tm_mon
                      id[i] = tm.tm_mday
                      ihr[i] = tm.tm_hour
                      imin[i] = tm.tm_min
                      dsec[i] = tm.tm_sec + fracsec
                      break
              else:
                  raise ValueError('Time {0} does not match {1} format'
                                   .format(timestr, self.name))
  
          self.jd1, self.jd2 = erfa_time.dtf_jd(self.scale.upper().encode('utf8'),
                                                iy, im, id, ihr, imin, dsec)
  
      def str_kwargs(self):
          """
          Generator that yields a dict of values corresponding to the
          calendar date and time for the internal JD values.
          """
          iys, ims, ids, ihmsfs = erfa_time.jd_dtf(self.scale.upper()
                                                   .encode('utf8'),
                                                   self.precision,
                                                   self.jd1, self.jd2)
  
          # Get the str_fmt element of the first allowed output subformat
          _, _, str_fmt = self._select_subfmts(self.out_subfmt)[0]
  
          if '{yday:' in str_fmt:
              has_yday = True
          else:
              has_yday = False
              yday = None
  
          for iy, im, id, ihmsf in six.moves.zip(iys, ims, ids, ihmsfs):
              ihr, imin, isec, ifracsec = ihmsf
              if has_yday:
                  yday = datetime(iy, im, id).timetuple().tm_yday
  
              yield {'year': int(iy), 'mon': int(im), 'day': int(id),
                     'hour': int(ihr), 'min': int(imin), 'sec': int(isec),
                     'fracsec': int(ifracsec), 'yday': yday}
  
      @property
      def value(self):
          # Select the first available subformat based on current
          # self.out_subfmt
          subfmts = self._select_subfmts(self.out_subfmt)
          _, _, str_fmt = subfmts[0]
  
          # TODO: fix this ugly hack
          if self.precision > 0 and str_fmt.endswith('{sec:02d}'):
              str_fmt += '.{fracsec:0' + str(self.precision) + 'd}'
  
          # Try to optimize this later.  Can't pre-allocate because length of
          # output could change, e.g. year rolls from 999 to 1000.
          outs = []
          for kwargs in self.str_kwargs():
              outs.append(str(str_fmt.format(**kwargs)))
  
          return np.array(outs)
  
      def _select_subfmts(self, pattern):
          """
          Return a list of subformats where name matches ``pattern`` using
          fnmatch.
          """
  
          fnmatchcase = fnmatch.fnmatchcase
          subfmts = [x for x in self.subfmts if fnmatchcase(x[0], pattern)]
          if len(subfmts) == 0:
              raise ValueError('No subformats match {0}'.format(pattern))
          return subfmts
  
  
  class TimeISO(TimeString):
      """
      ISO 8601 compliant date-time format "YYYY-MM-DD HH:MM:SS.sss...".
  
      The allowed subformats are:
  
      - 'date_hms': date + hours, mins, secs (and optional fractional secs)
      - 'date_hm': date + hours, mins
      - 'date': date
      """
  
      name = 'iso'
      subfmts = (('date_hms',
                  '%Y-%m-%d %H:%M:%S',
                  # XXX To Do - use strftime for output ??
                  '{year:d}-{mon:02d}-{day:02d} {hour:02d}:{min:02d}:{sec:02d}'),
                 ('date_hm',
                  '%Y-%m-%d %H:%M',
                  '{year:d}-{mon:02d}-{day:02d} {hour:02d}:{min:02d}'),
                 ('date',
                  '%Y-%m-%d',
                  '{year:d}-{mon:02d}-{day:02d}'))
  
  
  class TimeISOT(TimeString):
      """
      ISO 8601 compliant date-time format "YYYY-MM-DDTHH:MM:SS.sss...".
      This is the same as TimeISO except for a "T" instead of space between
      the date and time.
  
      The allowed subformats are:
  
      - 'date_hms': date + hours, mins, secs (and optional fractional secs)
      - 'date_hm': date + hours, mins
      - 'date': date
      """
  
      name = 'isot'
      subfmts = (('date_hms',
                  '%Y-%m-%dT%H:%M:%S',
                  '{year:d}-{mon:02d}-{day:02d}T{hour:02d}:{min:02d}:{sec:02d}'),
                 ('date_hm',
                  '%Y-%m-%dT%H:%M',
                  '{year:d}-{mon:02d}-{day:02d}T{hour:02d}:{min:02d}'),
                 ('date',
                  '%Y-%m-%d',
                  '{year:d}-{mon:02d}-{day:02d}'))
  
  
  class TimeYearDayTime(TimeString):
      """
      Year, day-of-year and time as "YYYY:DOY:HH:MM:SS.sss...".  The
      day-of-year (DOY) goes from 001 to 365 (366 in leap years).
  
      The allowed subformats are:
  
      - 'date_hms': date + hours, mins, secs (and optional fractional secs)
      - 'date_hm': date + hours, mins
      - 'date': date
      """
  
      name = 'yday'
      subfmts = (('date_hms',
                  '%Y:%j:%H:%M:%S',
                  '{year:d}:{yday:03d}:{hour:02d}:{min:02d}:{sec:02d}'),
                 ('date_hm',
                  '%Y:%j:%H:%M',
                  '{year:d}:{yday:03d}:{hour:02d}:{min:02d}'),
                 ('date',
                  '%Y:%j',
                  '{year:d}:{yday:03d}'))
  
  
  class TimeEpochDate(TimeFormat):
      """
      Base class for support floating point Besselian and Julian epoch dates
      """
      def set_jds(self, val1, val2):
          self._check_scale(self._scale)  # validate scale.
          epoch_to_jd = getattr(erfa_time, self.epoch_to_jd)
          jd1, jd2 = epoch_to_jd(val1 + val2)
          self.jd1, self.jd2 = day_frac(jd1, jd2)
  
      @property
      def value(self):
          jd_to_epoch = getattr(erfa_time, self.jd_to_epoch)
          return jd_to_epoch(self.jd1, self.jd2)
  
  
  class TimeBesselianEpoch(TimeEpochDate):
      """Besselian Epoch year as floating point value(s) like 1950.0"""
      name = 'byear'
      epoch_to_jd = 'besselian_epoch_jd'
      jd_to_epoch = 'jd_besselian_epoch'
  
      def _check_val_type(self, val1, val2):
          """Input value validation, typically overridden by derived classes"""
          if hasattr(val1, 'to') and hasattr(val1, 'unit'):
              raise ValueError("Cannot use Quantities for 'byear' format, "
                               "as the interpretation would be ambiguous. "
                               "Use float with Besselian year instead. ")
  
          return super(TimeBesselianEpoch, self)._check_val_type(val1, val2)
  
  
  class TimeJulianEpoch(TimeEpochDate):
      """Julian Epoch year as floating point value(s) like 2000.0"""
      name = 'jyear'
      unit = 365.25  # Length of the Julian year, for conversion to quantities
      epoch_to_jd = 'julian_epoch_jd'
      jd_to_epoch = 'jd_julian_epoch'
  
  
  class TimeEpochDateString(TimeString):
      """
      Base class to support string Besselian and Julian epoch dates
      such as 'B1950.0' or 'J2000.0' respectively.
      """
      def set_jds(self, val1, val2):
          years = np.empty(len(val1), dtype=np.double)
          epoch_prefix = self.epoch_prefix
  
          for i, time_str in enumerate(val1):
              try:
                  epoch_type, year_str = time_str[0], time_str[1:]
                  year = float(year_str)
                  if epoch_type.upper() != epoch_prefix:
                      raise ValueError
              except (IndexError, ValueError) as err:
                  raise ValueError('Time {0} does not match {1} format'
                                   .format(time_str, self.name))
              else:
                  years[i] = year
  
          self._check_scale(self._scale)  # validate scale.
          epoch_to_jd = getattr(erfa_time, self.epoch_to_jd)
          self.jd1, self.jd2 = epoch_to_jd(years)
  
      @property
      def value(self):
          jd_to_epoch = getattr(erfa_time, self.jd_to_epoch)
          years = jd_to_epoch(self.jd1, self.jd2)
          # Use old-style format since it is a factor of 2 faster
          str_fmt = self.epoch_prefix + '%.' + str(self.precision) + 'f'
          outs = [str_fmt % year for year in years]
          return np.array(outs)
  
  
  class TimeBesselianEpochString(TimeEpochDateString):
      """Besselian Epoch year as string value(s) like 'B1950.0'"""
      name = 'byear_str'
      epoch_to_jd = 'besselian_epoch_jd'
      jd_to_epoch = 'jd_besselian_epoch'
      epoch_prefix = 'B'
  
  
  class TimeJulianEpochString(TimeEpochDateString):
      """Julian Epoch year as string value(s) like 'J2000.0'"""
      name = 'jyear_str'
      epoch_to_jd = 'julian_epoch_jd'
      jd_to_epoch = 'jd_julian_epoch'
      epoch_prefix = 'J'
  
  
  class TimeDeltaFormat(TimeFormat):
      """Base class for time delta representations"""
  
      def set_jds(self, val1, val2):
          self._check_scale(self._scale)  # Validate scale.
          self.jd1, self.jd2 = day_frac(val1, val2, divisor=1./self.unit)
  
      @property
      def value(self):
          return (self.jd1 + self.jd2) / self.unit
  
  
  class TimeDeltaSec(TimeDeltaFormat):
      """Time delta in SI seconds"""
      name = 'sec'
      unit = 1. / SECS_PER_DAY  # for quantity input
  
  
  class TimeDeltaJD(TimeDeltaFormat):
      """Time delta in Julian days (86400 SI seconds)"""
      name = 'jd'
      unit = 1.
  
  
  class ScaleValueError(Exception):
      pass
  
  
  # Set module constant with names of all available time formats
  for name, val in list(six.iteritems(locals())):
      try:
          is_timeformat = issubclass(val, TimeFormat)
          is_timedeltaformat = issubclass(val, TimeDeltaFormat)
      except:
          pass
      else:
          if hasattr(val, 'name'):
              if is_timedeltaformat:
                  TIME_DELTA_FORMATS[val.name] = val
              elif is_timeformat:
                  TIME_FORMATS[val.name] = val
  
  
  def _make_1d_array(val, copy=False):
      """
      Take ``val`` and convert/reshape to a 1-d array.  If ``copy`` is True
      then copy input values.
  
      Returns
      -------
      val, val_ndim: ndarray, int
          Array version of ``val`` and the number of dims in original.
      """
      val = np.array(val, copy=copy, subok=True)
      val_ndim = val.ndim  # remember original ndim
      if val.ndim == 0:
          val = np.atleast_1d(val)
      elif val_ndim > 1:
          # Maybe lift this restriction later to allow multi-dim in/out?
          raise TypeError('Input val must be zero or one dimensional')
  
      # Allow only string or float arrays as input (XXX datetime later...)
      if val.dtype.kind == 'i':
          val = np.asanyarray(val, dtype=np.float64)
  
      return val, val_ndim
  
  
  def day_frac(val1, val2, factor=1., divisor=1.):
      """
      Return the sum of ``val1`` and ``val2`` as two float64s, an integer part and the
      fractional remainder.  If ``factor`` is not 1.0 then multiply the sum by ``factor``.
      If ``divisor`` is not 1.0 then divide the sum by ``divisor``.
  
      The arithmetic is all done with exact floating point operations so no precision is
      lost to rounding error.  This routine assumes the sum is less than about 1e16,
      otherwise the ``frac`` part will be greater than 1.0.
  
      Returns
      -------
      day, frac: float64
          Integer and fractional part of val1 + val2.
      """
  
      # Add val1 and val2 exactly, returning the result as two float64s.  The first is the
      # approximate sum (with some floating point error) and the second is the error of the
      # float64 sum.
      sum12, err12 = two_sum(val1, val2)
  
      if np.any(factor != 1.):
          sum12, carry = two_product(sum12, factor)
          carry += err12 * factor
          sum12, err12 = two_sum(sum12, carry)
  
      if np.any(divisor != 1.):
          q1 = sum12 / divisor
          p1, p2 = two_product(q1, divisor)
          d1, d2 = two_sum(sum12, -p1)
          d2 += err12
          d2 -= p2
          q2 = (d1 + d2) / divisor  # 3-part float fine here; nothing can be lost
          sum12, err12 = two_sum(q1, q2)
  
      # get integer fraction
      day = np.round(sum12)
      extra, frac = two_sum(sum12, -day)
      frac += extra + err12
      return day, frac
  
  
  def two_sum(a, b):
      """
      Add ``a`` and ``b`` exactly, returning the result as two float64s.  The first is the
      approximate sum (with some floating point error) and the second is the error of the
      float64 sum.
  
      Using the procedure of Shewchuk, 1997,
      Discrete & Computational Geometry 18(3):305-363
      http://www.cs.berkeley.edu/~jrs/papers/robustr.pdf
  
      Returns
      -------
      sum, err: float64
          Approximate sum of a + b and the exact floating point error
      """
      x = a + b
      eb = x - a
      eb = b - eb
      ea = x - b
      ea = a - ea
      return x, ea + eb
  
  
  def two_product(a, b):
      """
      Multiple ``a`` and ``b`` exactly, returning the result as two float64s.  The first is
      the approximate prodcut (with some floating point error) and the second is the error
      of the float64 product.
  
      Uses the procedure of Shewchuk, 1997,
      Discrete & Computational Geometry 18(3):305-363
      http://www.cs.berkeley.edu/~jrs/papers/robustr.pdf
  
      Returns
      -------
      prod, err: float64
          Approximate product a * b and the exact floating point error
      """
      x = a * b
      ah, al = split(a)
      bh, bl = split(b)
      y1 = ah * bh
      y = x - y1
      y2 = al * bh
      y -= y2
      y3 = ah * bl
      y -= y3
      y4 = al * bl
      y = y4 - y
      return x, y
  
  
  def split(a):
      """
      Split float64 in two aligned parts.
  
      Uses the procedure of Shewchuk, 1997,
      Discrete & Computational Geometry 18(3):305-363
      http://www.cs.berkeley.edu/~jrs/papers/robustr.pdf
  
      """
      c = 134217729. * a  # 2**27+1.
      abig = c - a
      ah = c - abig
      al = a - ah
      return ah, al
  
  
  class OperandTypeError(TypeError):
      def __init__(self, left, right, op=None):
          op_string = '' if op is None else ' for {0}'.format(op)
          super(OperandTypeError, self).__init__(
              "Unsupported operand type(s){0}: "
              "'{1}' and '{2}'".format(op_string,
                                       left.__class__.__name__,
                                       right.__class__.__name__))
  