Revision 7d0111900e681d8c0da9bb6b47cad3b1166793c6 authored by Collin Capano on 23 September 2020, 15:06:38 UTC, committed by GitHub on 23 September 2020, 15:06:38 UTC
1 parent 08945c8
test_frame.py
# Copyright (C) 2012 Andrew Miller, Alex Nitz, Josh Willis
#
# This program is free software; you can redistribute it and/or modify it
# under the terms of the GNU General Public License as published by the
# Free Software Foundation; either version 3 of the License, or (at your
# option) any later version.
#
# This program 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 this program; if not, write to the Free Software Foundation, Inc.,
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
#
# =============================================================================
#
# Preamble
#
# =============================================================================
#
'''
These are the unittests for the pycbc frame/cache reading functions
'''
import pycbc
import unittest
import pycbc.frame
import numpy
import lal
from pycbc.types import TimeSeries
from utils import parse_args_cpu_only, simple_exit
# Frame tests only need to happen on the CPU
parse_args_cpu_only("Frame I/O")
class FrameTestBase(unittest.TestCase):
def setUp(self):
numpy.random.seed(1023)
self.size = pow(2,12)
self.data1 = numpy.array(numpy.random.rand(self.size), dtype=self.dtype)
self.data2 = numpy.array(numpy.random.rand(self.size), dtype=self.dtype)
# If the dtype is complex, we should throw in some complex values as well
if self.dtype == numpy.complex64 or self.dtype == numpy.complex128:
self.data1 += numpy.random.rand(self.size) * 1j
self.data2 += numpy.random.rand(self.size) * 1j
self.delta_t = .5
self.epoch = lal.LIGOTimeGPS(123456,0)
self.expected_data1 = TimeSeries(self.data1,dtype=self.dtype,
epoch=self.epoch,delta_t=self.delta_t)
self.expected_data2 = TimeSeries(self.data2,dtype=self.dtype,
epoch=self.epoch,delta_t=self.delta_t)
def test_frame(self):
# TODO also test reading a cache
# This is a file in the temp directory that will be deleted when it is garbage collected
filename = "data/frametest" + str(self.data1.dtype) + ".gwf"
# Make sure we can run from one directory higher as well
import os.path
if not os.path.exists(filename):
filename = "test/" + filename
# Now we will create a frame file, specifiying that it is a timeseries
#Fr.frputvect(filename,
# [{'name':'channel1', 'data':self.data1, 'start':int(self.epoch),
# 'dx':self.delta_t,'type':1},
# {'name':'channel2', 'data':self.data2, 'start':int(self.epoch),
# 'dx':self.delta_t,'type':1}])
# Reading just one channel first
ts1 = pycbc.frame.read_frame(filename, 'channel1')
# Checking all values
self.assertEqual(ts1,self.expected_data1)
# Now checking the start time
self.assertEqual(ts1.start_time, self.epoch)
# And the duration
self.assertEqual(ts1.end_time - ts1.start_time,self.size * self.delta_t)
# Now reading multiple channels
ts2 = pycbc.frame.read_frame(filename, ['channel1','channel2'])
# We should get back a list
self.assertTrue(type(ts2) is list)
self.assertEqual(ts2[0],self.expected_data1)
self.assertEqual(ts2[1],self.expected_data2)
self.assertEqual(ts2[0].start_time, self.epoch)
self.assertEqual(ts2[1].start_time, self.epoch)
self.assertEqual(ts2[0].end_time - ts2[0].start_time,self.size * self.delta_t)
self.assertEqual(ts2[1].end_time - ts2[1].start_time,self.size * self.delta_t)
# These are the times and indices for the segment we will try to read
start = self.epoch+10
end = self.epoch+50
startind = int(10/self.delta_t)
endind = int(50/self.delta_t)
# Now reading in a specific segment with an integer
ts3 = pycbc.frame.read_frame(filename, 'channel1',
start_time=int(start),
end_time=int(end))
# The same, but with a LIGOTimeGPS for the start and end times
ts4 = pycbc.frame.read_frame(filename, 'channel1',
start_time=start,
end_time=end)
# Now we will check those two TimeSeries
self.assertEqual(ts3,self.expected_data1[startind:endind])
self.assertEqual(ts4,self.expected_data1[startind:endind])
self.assertTrue(40 - (float(ts3.end_time)-float(ts3.start_time)) < self.delta_t)
self.assertEqual(ts3.start_time, start)
self.assertTrue(40 - (float(ts4.end_time)-float(ts4.start_time)) < self.delta_t)
self.assertEqual(ts4.start_time, start)
# And now some cases that should raise errors
# There must be a span grater than 0
self.assertRaises(ValueError, pycbc.frame.read_frame, filename,
'channel1', start_time=self.epoch,
end_time=self.epoch)
# The start must be before the end
self.assertRaises(ValueError, pycbc.frame.read_frame, filename,
'channel1', start_time=self.epoch+1,
end_time=self.epoch)
# We take a factory approach so we can test all possible dtypes we support
TestClasses = []
types = [numpy.float32, numpy.float64, numpy.complex64, numpy.complex128]
for ty in types:
klass = type('{0}_Test'.format(ty.__name__),(FrameTestBase,),{'dtype': ty})
TestClasses.append(klass)
if __name__ == '__main__':
suite = unittest.TestSuite()
for klass in TestClasses:
suite.addTest(unittest.TestLoader().loadTestsFromTestCase(klass))
results = unittest.TextTestRunner(verbosity=2).run(suite)
simple_exit(results)
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