def setUp(self):
#Clearly this is nonsense, but we're just testing syntax in a
# non-functional library...
self.transients = [{'runcat':'1', 'band':'1'}]
with open(default_parset_paths['classification.parset']) as f:
self.parset = parset.read_config_section(f, 'classification')
def test_round_trip(self):
bufout = StringIO.StringIO()
parset.write_config_section(bufout, self.section, self.parset)
bufin = StringIO.StringIO(bufout.getvalue())
parsed = parset.read_config_section(bufin, self.section)
# print parsed
self.assertEqual(self.parset, parsed)
def main():
parset_file, target_files, overwrite = parse_arguments()
with open(parset_file) as fp:
parset = read_config_section(fp, "inject")
for target_file in target_files:
# Normally accessors.open checks this, but we're going straight
# to detect here because we don't want to actually open it:
if not os.path.isfile(target_file) or os.path.isdir(target_file):
print "File not found: %s (check path is correct?)" % target_file
continue
print "injecting data into %s" % target_file
accessor_class = tkp.accessors.detection.detect(target_file)
if accessor_class == LofarFitsImage:
modify_fits_headers(parset, target_file, overwrite)
elif accessor_class == LofarCasaImage:
modify_casa_headers(parset, target_file)
else:
print "ERROR: %s is in a unknown format" % target_file
def setUpClass(cls):
cls.dataset_id = db_subs.create_dataset_8images()
cls.images = [testdata.fits_file]
cls.extraction_radius = 256
with open(default_parset_paths['persistence.parset']) as f:
cls.parset = parset.read_config_section(f, 'persistence')
def setUpClass(cls):
cls.dataset_id = db_subs.create_dataset_8images(extract_sources=True)
with open(default_parset_paths['transient_search.parset']) as f:
cls.parset = parset.read_config_section(f, 'transient_search')
def setUpClass(cls):
cls.accessor = tkp.accessors.open(testdata.casa_table)
with open(default_parset_paths['quality_check.parset']) as f:
cls.parset = parset.read_config_section(f, 'quality_lofar')
def setUpClass(cls):
cls.dataset_id = db_subs.create_dataset_8images()
with open(default_parset_paths['source_extraction.parset']) as f:
cls.parset = parset.read_config_section(f, 'source_extraction')
