diff --git a/tests.py b/tests.py
index a27ec82ff60d4bb7af972cbfec64d897f3950662..d376249d0395cb0861f12d47417dde3dd6c85993 100644
--- a/tests.py
+++ b/tests.py
@@ -3,6 +3,7 @@ import numpy as np
import os
import shutil
import pyfstat
+import lalpulsar
class Test(unittest.TestCase):
@@ -25,14 +26,16 @@ class TestWriter(Test):
def test_make_cff(self):
Writer = pyfstat.Writer(self.label, outdir=self.outdir)
Writer.make_cff()
- self.assertTrue(os.path.isfile('./TestData/{}.cff'.format(self.label)))
+ self.assertTrue(os.path.isfile(
+ './{}/{}.cff'.format(self.outdir, self.label)))
def test_run_makefakedata(self):
Writer = pyfstat.Writer(self.label, outdir=self.outdir, duration=86400)
Writer.make_cff()
Writer.run_makefakedata()
self.assertTrue(os.path.isfile(
- './TestData/H-48_H1_1800SFT_TestWriter-700000000-86400.sft'))
+ './{}/H-48_H1_1800SFT_TestWriter-700000000-86400.sft'
+ .format(self.outdir)))
def test_makefakedata_usecached(self):
Writer = pyfstat.Writer(self.label, outdir=self.outdir, duration=86400)
@@ -56,7 +59,7 @@ class TestBunch(Test):
self.assertTrue(b.x == 10)
-class TestPar(Test):
+class Test_par(Test):
label = 'TestPar'
def test(self):
@@ -73,7 +76,7 @@ class TestPar(Test):
return_type='dict')
self.assertTrue(par['x'] == 100)
self.assertTrue(par['y'] == 10)
- os.system('rm -r TestData')
+ os.system('rm -r {}'.format(self.outdir))
class TestBaseSearchClass(Test):
@@ -120,17 +123,25 @@ class TestComputeFstat(Test):
def test_run_computefstatistic_single_point(self):
Writer = pyfstat.Writer(self.label, outdir=self.outdir, duration=86400,
- h0=1, sqrtSX=1)
+ h0=1, sqrtSX=1, detectors='H1,L1')
Writer.make_data()
predicted_FS = Writer.predict_fstat()
- search = pyfstat.ComputeFstat(
- tref=Writer.tref,
+ search_H1 = pyfstat.ComputeFstat(
+ tref=Writer.tref, detectors='H1',
+ sftfilepattern='{}/*{}*sft'.format(Writer.outdir, Writer.label),
+ SSBprec=lalpulsar.SSBPREC_RELATIVISTIC)
+ FS = search_H1.get_fullycoherent_twoF(
+ Writer.tstart, Writer.tend, Writer.F0, Writer.F1, Writer.F2,
+ Writer.Alpha, Writer.Delta)
+ self.assertTrue(np.abs(predicted_FS-FS)/FS < 0.2)
+
+ search_H1L1 = pyfstat.ComputeFstat(
+ tref=Writer.tref, detectors='H1,L1',
sftfilepattern='{}/*{}*sft'.format(Writer.outdir, Writer.label))
- FS = search.get_fullycoherent_twoF(
+ FS = search_H1L1.get_fullycoherent_twoF(
Writer.tstart, Writer.tend, Writer.F0, Writer.F1, Writer.F2,
Writer.Alpha, Writer.Delta)
- print predicted_FS, FS
self.assertTrue(np.abs(predicted_FS-FS)/FS < 0.2)
def run_computefstatistic_single_point_no_noise(self):
@@ -148,7 +159,7 @@ class TestComputeFstat(Test):
print predicted_FS, FS
self.assertTrue(np.abs(predicted_FS-FS)/FS < 0.2)
- def test_injectSources_from_file(self):
+ def test_injectSources(self):
Writer = pyfstat.Writer(self.label, outdir=self.outdir, add_noise=False,
duration=86400, h0=1, sqrtSX=1)
Writer.make_cff()
@@ -159,13 +170,79 @@ class TestComputeFstat(Test):
minCoverFreq=28, maxCoverFreq=32, minStartTime=Writer.tstart,
maxStartTime=Writer.tstart+Writer.duration,
detectors=Writer.detectors)
- FS = search.get_fullycoherent_twoF(
+ FS_from_file = search.get_fullycoherent_twoF(
Writer.tstart, Writer.tend, Writer.F0, Writer.F1, Writer.F2,
Writer.Alpha, Writer.Delta)
Writer.make_data()
predicted_FS = Writer.predict_fstat()
- print predicted_FS, FS
- self.assertTrue(np.abs(predicted_FS-FS)/FS < 0.2)
+ self.assertTrue(np.abs(predicted_FS-FS_from_file)/FS_from_file < 0.2)
+
+ injectSourcesdict = pyfstat.core.read_par(Writer.config_file_name)
+ injectSourcesdict['F0'] = injectSourcesdict['Freq']
+ injectSourcesdict['F1'] = injectSourcesdict['f1dot']
+ injectSourcesdict['F2'] = injectSourcesdict['f2dot']
+ search = pyfstat.ComputeFstat(
+ tref=Writer.tref, assumeSqrtSX=1, injectSources=injectSourcesdict,
+ minCoverFreq=28, maxCoverFreq=32, minStartTime=Writer.tstart,
+ maxStartTime=Writer.tstart+Writer.duration,
+ detectors=Writer.detectors)
+ FS_from_dict = search.get_fullycoherent_twoF(
+ Writer.tstart, Writer.tend, Writer.F0, Writer.F1, Writer.F2,
+ Writer.Alpha, Writer.Delta)
+ self.assertTrue(FS_from_dict == FS_from_file)
+
+
+class TestSemiCoherentSearch(Test):
+ label = "TestSemiCoherentSearch"
+
+ def test_get_semicoherent_twoF(self):
+ duration = 10*86400
+ Writer = pyfstat.Writer(
+ self.label, outdir=self.outdir, duration=duration, h0=1, sqrtSX=1)
+ Writer.make_data()
+
+ search = pyfstat.SemiCoherentSearch(
+ label=self.label, outdir=self.outdir, nsegs=2,
+ sftfilepattern='{}/*{}*sft'.format(Writer.outdir, Writer.label),
+ tref=Writer.tref, minStartTime=Writer.tstart,
+ maxStartTime=Writer.tend)
+
+ search.get_semicoherent_twoF(
+ Writer.F0, Writer.F1, Writer.F2, Writer.Alpha, Writer.Delta,
+ record_segments=True)
+
+ # Compute the predicted semi-coherent Fstat
+ minStartTime = Writer.tstart
+ maxStartTime = Writer.tend
+
+ Writer.maxStartTime = minStartTime + duration / 2.0
+ FSA = Writer.predict_fstat()
+
+ Writer.tstart = minStartTime + duration / 2.0
+ Writer.tend = maxStartTime
+ FSB = Writer.predict_fstat()
+
+ FSs = np.array([FSA, FSB])
+ diffs = (np.array(search.detStat_per_segment) - FSs) / FSs
+ self.assertTrue(np.all(diffs < 0.3))
+
+ def test_get_semicoherent_BSGL(self):
+ duration = 10*86400
+ Writer = pyfstat.Writer(
+ self.label, outdir=self.outdir, duration=duration,
+ detectors='H1,L1')
+ Writer.make_data()
+
+ search = pyfstat.SemiCoherentSearch(
+ label=self.label, outdir=self.outdir, nsegs=2,
+ sftfilepattern='{}/*{}*sft'.format(Writer.outdir, Writer.label),
+ tref=Writer.tref, minStartTime=Writer.tstart,
+ maxStartTime=Writer.tend, BSGL=True)
+
+ BSGL = search.get_semicoherent_twoF(
+ Writer.F0, Writer.F1, Writer.F2, Writer.Alpha, Writer.Delta,
+ record_segments=True)
+ self.assertTrue(BSGL > 0)
class TestSemiCoherentGlitchSearch(Test):