def test_random_residual_results(self):
"""Test comparison of random residuals in images"""
expected_label = 'random-res_a_0'
label = 'random'
input_dir = 'aimfast/tests/files'
res1 = 'cube1.fits'
res2 = 'cube2.fits'
res1_path = '{:s}/{:s}'.format(input_dir, res1)
res2_path = '{:s}/{:s}'.format(input_dir, res2)
res_imgs = [[dict(label="{}-res_a_0".format(label), path=res1_path),
dict(label="{}-res_b_0".format(label), path=res2_path)]]
expected = aimfast.get_aimfast_data('fidelity_results.json', input_dir)
output = aimfast._random_residual_results(res_imgs, data_points=10,
area_factor=0.5, fov_factor=0.5)
assert len(expected[expected_label]) == len(output[expected_label])
def test_source_residual_results(self):
"""Test comparison of source residuals in images"""
default_area_factor = 2.0
expected_label = 'source-res_a_0'
label = 'source'
input_dir = 'aimfast/tests/files'
res1 = 'cube1.fits'
res2 = 'cube2.fits'
skymodel = 'catalog.lsm.html'
skymodel_path = '{:s}/{:s}'.format(input_dir, skymodel)
res1_path = '{:s}/{:s}'.format(input_dir, res1)
res2_path = '{:s}/{:s}'.format(input_dir, res2)
res_imgs = [[dict(label="{}-res_a_0".format(label), path=res1_path),
dict(label="{}-res_b_0".format(label), path=res2_path)]]
expected = aimfast.get_aimfast_data('fidelity_results.json', input_dir)
output = aimfast._source_residual_results(res_imgs, skymodel_path,
area_factor=default_area_factor)
assert len(expected[expected_label]) == len(output[expected_label])
def test_get_detected_sources_properties(self):
"""Test get detected sources properties"""
expected_label = 'None-model_a_1'
label = None
input_dir = 'aimfast/tests/files'
model1 = 'catalog1.txt'
model2 = 'catalog1.lsm.html'
model1_path = '{:s}/{:s}'.format(input_dir, model1)
model2_path = '{:s}/{:s}'.format(input_dir, model2)
models = [[dict(label="{}-model_a_1".format(label), path=model1_path),
dict(label="{}-model_b_1".format(label), path=model2_path)]]
expected = aimfast.get_aimfast_data('fidelity_results.json', input_dir)
output = aimfast.compare_models(models, tolerance=0.2, plot=False,
all_sources=True)
models = expected[expected_label]['models']
assert models == [model1, model2]
assert(len(expected[expected_label]['flux'])
== len(output[expected_label]['flux']))
assert(len(expected[expected_label]['position'])
== len(output[expected_label]['position']))
