def setUpClass(cls):
cls.dataset_id = db_subs.create_dataset_8images()
cls.images = [testdata.fits_file]
cls.extraction_radius = 256
job_config = SafeConfigParser()
job_config.read(default_job_config)
job_config = parse_to_dict(job_config)
cls.persistence_pars = job_config['persistence']
pipe_config = initialize_pipeline_config(default_pipeline_config,
job_name="test_persistence")
cls.image_cache_pars = pipe_config['image_cache']
def setUpClass(cls):
cls.dataset_id = db_subs.create_dataset_8images()
config = SafeConfigParser()
config.read(default_job_config)
config = parse_to_dict(config)
cls.parset = config["source_extraction"]
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.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')
def setUpClass(cls):
cls.dataset_id = db_subs.create_dataset_8images(extract_sources=True)
config = SafeConfigParser()
config.read(default_job_config)
config = parse_to_dict(config)
cls.parset =config['transient_search']
