def test_read_inputdata(self):
with zipfile.ZipFile(self.pathList_testimages[0], "r") as zf:
zf.extractall(self.tmpdir)
RD = L1B_Reader(config=self.config)
L1_obj = RD.read_inputdata(self.tmpdir, compute_snr=False)
L1_obj.save(path.join(self.config.output_dir, "no_snr"))
def test_read_inputdata_dont_drop_bad_bands(self):
with zipfile.ZipFile(self.pathList_testimages[0], "r") as zf:
zf.extractall(self.tmpdir)
cfg = self.config
cfg.drop_bad_bands = False
RD = L1B_Reader(config=cfg)
L1_obj = RD.read_inputdata(self.tmpdir, compute_snr=False)
self.assertEqual(L1_obj.swir.detector_meta.nwvl, 130)
def setUp(self):
self.config = EnPTConfig(**config_for_testing_dlr)
# create a temporary directory
# NOTE: This must exist during the whole runtime of Test_Spatial_Optimizer, otherwise
# Spatial_Optimizer.optimize_geolayer will fail to read some files.
self.tmpdir = tempfile.mkdtemp(dir=self.config.working_dir)
# get EnMAP L1 object in sensor geometry
with ZipFile(self.config.path_l1b_enmap_image, "r") as zf:
zf.extractall(self.tmpdir)
self.L1_obj = L1B_Reader(config=self.config).read_inputdata(
root_dir_main=self.tmpdir, compute_snr=False)
