def test_read_frame_file(self):
start_time = 0
end_time = 10
channel = "H1:GDS-CALIB_STRAIN"
N = 100
times = np.linspace(start_time, end_time, N)
data = np.random.normal(0, 1, N)
ts = TimeSeries(data=data, times=times, t0=0)
ts.channel = Channel(channel)
ts.name = channel
filename = os.path.join(self.outdir, "test.gwf")
ts.write(filename, format="gwf")
# Check reading without time limits
strain = gwutils.read_frame_file(
filename, start_time=None, end_time=None, channel=channel
)
self.assertEqual(strain.channel.name, channel)
self.assertTrue(np.all(strain.value == data[:-1]))
# Check reading with time limits
start_cut = 2
end_cut = 8
strain = gwutils.read_frame_file(
filename, start_time=start_cut, end_time=end_cut, channel=channel
)
idxs = (times > start_cut) & (times < end_cut)
# Dropping the last element - for some reason gwpy drops the last element when reading in data
self.assertTrue(np.all(strain.value == data[idxs][:-1]))
# Check reading with unknown channels
strain = gwutils.read_frame_file(filename, start_time=None, end_time=None)
self.assertTrue(np.all(strain.value == data[:-1]))
# Check reading with incorrect channel
strain = gwutils.read_frame_file(
filename, start_time=None, end_time=None, channel="WRONG"
)
self.assertTrue(np.all(strain.value == data[:-1]))
ts = TimeSeries(data=data, times=times, t0=0)
ts.name = "NOT-A-KNOWN-CHANNEL"
ts.write(filename, format="gwf")
strain = gwutils.read_frame_file(filename, start_time=None, end_time=None)
self.assertEqual(strain, None)
from numpy import (random, testing as nptest)
from gwpy.table import EventTable
from gwpy.timeseries import (TimeSeries, StateVector)
from gwpy.spectrogram import Spectrogram
from gwpy.segments import (Segment, SegmentList)
from gwsumm import (archive, data, globalv, channels, triggers)
__author__ = 'Duncan Macleod <*****@*****.**>'
TEST_DATA = TimeSeries([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], epoch=100,
unit='meter', sample_rate=1, channel='X1:TEST-CHANNEL',
name='TEST DATA')
TEST_DATA.channel = channels.get_channel(TEST_DATA.channel)
# -- utilities ----------------------------------------------------------------
def empty_globalv():
globalv.DATA = type(globalv.DATA)()
globalv.SPECTROGRAMS = type(globalv.SPECTROGRAMS)()
globalv.SEGMENTS = type(globalv.SEGMENTS)()
globalv.TRIGGERS = type(globalv.TRIGGERS)()
def create(data, **metadata):
SeriesClass = metadata.pop('series_class', TimeSeries)
d = SeriesClass(data, **metadata)
d.channel = channels.get_channel(d.channel)
from gwpy.table import EventTable
from gwpy.timeseries import (TimeSeries, StateVector)
from gwpy.spectrogram import Spectrogram
from gwpy.segments import (Segment, SegmentList)
from .. import (archive, data, globalv, channels, triggers)
__author__ = 'Duncan Macleod <*****@*****.**>'
TEST_DATA = TimeSeries([1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
epoch=100,
unit='meter',
sample_rate=1,
channel='X1:TEST-CHANNEL',
name='TEST DATA')
TEST_DATA.channel = channels.get_channel(TEST_DATA.channel)
# -- utilities ----------------------------------------------------------------
def empty_globalv():
globalv.DATA = type(globalv.DATA)()
globalv.SPECTROGRAMS = type(globalv.SPECTROGRAMS)()
globalv.SEGMENTS = type(globalv.SEGMENTS)()
globalv.TRIGGERS = type(globalv.TRIGGERS)()
def create(data, **metadata):
SeriesClass = metadata.pop('series_class', TimeSeries)
d = SeriesClass(data, **metadata)
d.channel = channels.get_channel(d.channel)
