How to use the gwpy.version function in gwpy

# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with GWpy.  If not, see .

"""Utilties for plotting directly from frames
"""

from .. import version
from ..timeseries import TimeSeries
from .timeseries import TimeSeriesPlot

__author__ = "Duncan Macleod "
__version__ = version.version

__all__ = ["GWFramePlot"]


class GWFramePlot(TimeSeriesPlot):
    """Utility to plot directly from gravitational wave frames.
    """
    def __init__(self, gwf, channel, **kwargs):
        # read the frame
        self._gwf = gwf
        self._channel = channel
        start = kwargs.pop("start", -1)
        end = kwargs.pop("end", -1)
        self.read_frame(self._gwf, channel, start=start, end=end)
        super(GWFramePlot, self).__init__(self._series, **kwargs)

This module is based on the 
"""

import json
import numpy
from urllib2 import HTTPError

from glue.auth.saml import HTTPNegotiateAuthHandler

from .. import version
from ..detector import (Channel, ChannelList)

from . import auth

__author__ = "Duncan Macleod "
__version__ = version.version

CIS_API_URL = 'https://cis.ligo.org/api/channel'
CIS_DATA_TYPE = {4: numpy.float32}


def query(name, debug=False):
    """Query the Channel Information System for details on the given
    channel name

    Parameters
    ----------
    name : `~gwpy.detector.Channel`, or `str`
        Name of the channel of interest

    Returns
    -------

# (at your option) any later version.
#
# GWpy is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with GWpy.  If not, see .

"""Create and apply time-domain or frequency-domain windows to Series
"""

from .. import version
__author__ = "Duncan Macleod "
__version__ = version.version

from .core import *

# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with GWpy.  If not, see .

"""This module provides a spectral-variation histogram class
"""

import numpy
import sys

if sys.version_info[0] < 3:
    range = xrange

from .. import version
__version__ = version.version
__author__ = 'Duncan Macleod '

from ..data import (Quantity, Array, Array2D)
from .core import FrequencySeries
from ..detector import Channel

__all__ = ['SpectralVariance']


class SpectralVariance(Array2D):
    """A 2-dimensional array containing the variance histogram of a
    frequency-series `FrequencySeries`
    """
    _metadata_slots = FrequencySeries._metadata_slots + ['bins']
    _default_xunit = FrequencySeries._default_xunit

from math import modf

from matplotlib import (ticker as mticker, pyplot, transforms as mtransforms)
from matplotlib.dates import (SEC_PER_MIN, SEC_PER_HOUR, SEC_PER_DAY,
                              SEC_PER_WEEK)

from ..time import Time
from .. import version

try:
    from collections import OrderedDict
except ImportError:
    from ordereddict import OrderedDict

__author__ = "Duncan Macleod "
__version__ = version.version

GPS_SCALE = OrderedDict([(1, ('seconds', 's', 1)),
                         (SEC_PER_MIN, ('minutes', 'mins', 10)),
                         (SEC_PER_HOUR, ('hours', 'hrs', 4)),
                         (SEC_PER_DAY, ('days', 'd', 7)),
                         (SEC_PER_WEEK, ('weeks', 'w', 4))])


class GPSMixin(object):
    """Mixin adding GPS-related attributes to a `Locator`.
    """
    def __init__(self, *args, **kwargs):
        self.set_scale(kwargs.pop('scale', 1))
        self.set_epoch(kwargs.pop('epoch', None))
        # call super for __init__ if this is part of a larger MRO
        try: