def test_get_timeseries(self):
# test simple get after add
a = TimeSeries([1, 2, 3, 4, 5], name='test name', epoch=0,
sample_rate=1)
data.add_timeseries(a)
b = data.get_timeseries('test name', [(0, 5)])
self.assertEqual(a, b)
# test more complicated add with a cache
a = data.get_timeseries('H1:LOSC-STRAIN', LOSC_SEGMENTS,
cache=self.FRAMES['H1:LOSC-STRAIN'])
b = data.get_timeseries('H1:LOSC-STRAIN', LOSC_SEGMENTS)
self.assertEqual(a, b)
def test_get_timeseries(self):
# test simple get after add
a = TimeSeries([1, 2, 3, 4, 5],
name='test name',
epoch=0,
sample_rate=1)
data.add_timeseries(a)
b = data.get_timeseries('test name', [(0, 5)])
self.assertEqual(a, b)
# test more complicated add with a cache
a = data.get_timeseries('H1:LOSC-STRAIN',
LOSC_SEGMENTS,
cache=self.FRAMES['H1:LOSC-STRAIN'])
b = data.get_timeseries('H1:LOSC-STRAIN', LOSC_SEGMENTS)
self.assertEqual(a, b)
def test_get_timeseries(self):
# empty globalv.DATA
globalv.DATA = type(globalv.DATA)()
# test simple get after add
a = TimeSeries([1, 2, 3, 4, 5], name='test name', epoch=0,
sample_rate=1)
data.add_timeseries(a)
b, = data.get_timeseries('test name', [(0, 5)], nproc=1)
nptest.assert_array_equal(a.value, b.value)
assert a.sample_rate.value == b.sample_rate.value
# test more complicated add with a cache
a, = data.get_timeseries('H1:LOSC-STRAIN', LOSC_SEGMENTS,
cache=self.FRAMES['H1:LOSC-STRAIN'],
nproc=1)
b, = data.get_timeseries('H1:LOSC-STRAIN', LOSC_SEGMENTS,
nproc=1)
nptest.assert_array_equal(a.value, b.value)
def test_read_archive(self):
fname = self.test_write_archive(delete=False)
try:
archive.read_data_archive(fname)
finally:
os.remove(fname)
ts = data.get_timeseries('X1:TEST-CHANNEL', [(100, 110)],
query=False).join()
nptest.assert_array_equal(ts.value, TEST_DATA.value)
for attr in ['epoch', 'unit', 'sample_rate', 'channel', 'name']:
self.assertEqual(getattr(ts, attr), getattr(TEST_DATA, attr))
def test_read_archive(self):
fname = self.test_write_archive(delete=False)
try:
archive.read_data_archive(fname)
finally:
os.remove(fname)
ts = data.get_timeseries('X1:TEST-CHANNEL',
[(100, 110)], query=False).join()
nptest.assert_array_equal(ts.value, TEST_DATA.value)
for attr in ['epoch', 'unit', 'sample_rate', 'channel', 'name']:
self.assertEqual(getattr(ts, attr), getattr(TEST_DATA, attr))
def test_read_archive():
fname = test_write_archive(delete=False)
empty_globalv()
try:
archive.read_data_archive(fname)
finally:
os.remove(fname)
# check timeseries
ts = data.get_timeseries('X1:TEST-CHANNEL',
[(100, 110)], query=False).join()
nptest.assert_array_equal(ts.value, TEST_DATA.value)
for attr in ['epoch', 'unit', 'sample_rate', 'channel', 'name']:
assert getattr(ts, attr) == getattr(TEST_DATA, attr)
# check trend series
ts = data.get_timeseries('X1:TEST-TREND.mean,m-trend', [(0, 300)],
query=False).join()
assert ts.channel.type == 'm-trend'
assert ts.span == (0, 300)
# check triggers
t = triggers.get_triggers('X1:TEST-TABLE', 'testing', [(0, 100)])
assert len(t) == 100
def test_read_archive():
fname = test_write_archive(delete=False)
empty_globalv()
try:
archive.read_data_archive(fname)
finally:
os.remove(fname)
# check timeseries
ts = data.get_timeseries('X1:TEST-CHANNEL', [(100, 110)],
query=False).join()
nptest.assert_array_equal(ts.value, TEST_DATA.value)
for attr in ['epoch', 'unit', 'sample_rate', 'channel', 'name']:
assert getattr(ts, attr) == getattr(TEST_DATA, attr)
# check trend series
ts = data.get_timeseries('X1:TEST-TREND.mean,m-trend', [(0, 300)],
query=False).join()
assert ts.channel.type == 'm-trend'
assert ts.span == (0, 300)
# check triggers
t = triggers.get_triggers('X1:TEST-TABLE', 'testing', [(0, 100)])
assert len(t) == 100
def test_get_timeseries(self):
# empty globalv.DATA
globalv.DATA = type(globalv.DATA)()
# test simple get after add
a = TimeSeries([1, 2, 3, 4, 5],
name='test name',
epoch=0,
sample_rate=1)
data.add_timeseries(a)
b, = data.get_timeseries('test name', [(0, 5)], nproc=1)
nptest.assert_array_equal(a.value, b.value)
assert a.sample_rate.value == b.sample_rate.value
# test more complicated add with a cache
a, = data.get_timeseries('H1:LOSC-STRAIN',
LOSC_SEGMENTS,
cache=self.FRAMES['H1:LOSC-STRAIN'],
nproc=1)
b, = data.get_timeseries('H1:LOSC-STRAIN', LOSC_SEGMENTS, nproc=1)
nptest.assert_array_equal(a.value, b.value)