def test_create_nk_from_csv_expected_nk_eV(self):
dir_path = os.path.dirname(os.path.realpath(__file__))
filename_full = os.path.join(dir_path,"TestCSVFile_comma_eV.csv")
index_function = sm.create_nk_from_csv(filename_full,
independent_unit_str="eV",
lines_to_skip = 1)
ratio = index_function(1.23984*sm.Units.um)/(2.0+0.4j)
self.assertAlmostEqual(ratio,1.0,places=5)
def test_create_nk_from_csv_expected_nk_eV_upperbound(self):
dir_path = os.path.dirname(os.path.realpath(__file__))
filename_full = os.path.join(dir_path,"TestCSVFile_comma_eV.csv")
index_function = sm.create_nk_from_csv(filename_full,
independent_unit_str="eV",
lines_to_skip = 1)
ratio =index_function(sm.convert_photon_unit("eV","wl",6.0))/(2.0+0.0j)
self.assertAlmostEqual(ratio,1.0,places=5)
def test_create_nk_from_csv_expected_nk_lowerbound(self):
dir_path = os.path.dirname(os.path.realpath(__file__))
filename_full = os.path.join(dir_path,"TestCSVFile_comma.csv")
index_function = sm.create_nk_from_csv(filename_full,
dependent_col=np.array([2,3]),
independent_unit_str="um",
lines_to_skip = 1)
ratio = index_function(0.1*sm.Units.um)/(2.0+0.0j)
self.assertAlmostEqual(ratio,1.0,places=5)
def test_create_nk_from_csv_expected_nk_nm_er_ei(self):
dir_path = os.path.dirname(os.path.realpath(__file__))
filename_full = os.path.join(dir_path,"TestCSVFile_tab.csv")
index_function = sm.create_nk_from_csv(filename_full,
delimiter="\t",
dependent_col=np.array([2,3]),
dependent_unit_str="er_ei",
lines_to_skip = 2)
ratio = index_function(1.3*sm.Units.um)/(1.010947736+0.1483756228j)
self.assertAlmostEqual(ratio,1.0,places=5)