def test_extract_feats_in_docker_container():
"""Test custom feature extraction in Docker container"""
tmp_dir_path = cft.make_tmp_dir()
feats_known_dict_list = [{"feat1": 0.215, "feat2": 0.311}]
ts_datafile_paths = [pjoin(DATA_PATH, "dotastro_215153.dat")]
cft.add_tsdata_to_feats_known_dict(feats_known_dict_list,
ts_datafile_paths, None)
cft.copy_data_to_tmp_dir(tmp_dir_path,
pjoin(DATA_PATH, "testfeature1.py"),
feats_known_dict_list)
results = cft.extract_feats_in_docker_container("test", tmp_dir_path)
shutil.rmtree(tmp_dir_path, ignore_errors=True)
cft.remove_tmp_files(tmp_dir_path)
npt.assert_equal(len(results), 1)
assert(isinstance(results[0], dict))
npt.assert_almost_equal(results[0]["avg_mag"], 10.347417647058824)
def test_extract_feats_in_docker_container():
"""Test custom feature extraction in Docker container"""
tmp_dir_path = cft.make_tmp_dir()
feats_known_dict = {"feat1": 0.215, "feat2": 0.311}
ts_datafile = pjoin(DATA_PATH, "dotastro_215153.dat")
t, m, e = ctt.parse_ts_data(ts_datafile)
feats_known_dict['t'] = t
feats_known_dict['m'] = m
feats_known_dict['e'] = e
cft.copy_data_to_tmp_dir(tmp_dir_path,
pjoin(DATA_PATH, "testfeature1.py"),
feats_known_dict)
results = cft.extract_feats_in_docker_container("test", tmp_dir_path)
shutil.rmtree(tmp_dir_path, ignore_errors=True)
cft.remove_tmp_files(tmp_dir_path)
assert(isinstance(results, dict))
npt.assert_almost_equal(results["avg_mag"], 10.347417647058824)
