def test_converts_list_of_strings_to_dict_if_comments_in_table_meta(self):
tbl = ioascii.read("""# key1 : val 1
# key2 : extra long entry
col1 col2
0 1 """)
dic = convert_table_comments_to_dict(tbl)
assert dic["key1"] == "val 1"
assert len(dic) == 2
def input_tables():
filenames = ["test_table.fits", "test_table.tbl"]
filenames = [os.path.join(MOCK_DIR, fname) for fname in filenames]
tbls = []
tbls += [Table.read(filenames[0])]
tbls += [Table.read(filenames[1], format="ascii.basic")]
tbls[1].meta.update(convert_table_comments_to_dict(tbls[1]))
return tbls
def test_returns_input_if_conversion_doesnt_work(self):
tbl_str = """
# key1 : val 1
#
# key2
col1 col2
0 1 """
tbl = ioascii.read(tbl_str)
dic = convert_table_comments_to_dict(tbl)
assert dic == tbl.meta["comments"]
def input_spectra():
filenames = ["test_spectrum_photlam.dat", "test_spectrum_Flam.dat"]
filenames = [os.path.join(MOCK_DIR, fname) for fname in filenames]
tbls = [ioascii.read(fname) for fname in filenames]
specs = []
for tbl in tbls:
tbl.meta.update(convert_table_comments_to_dict(tbl))
wave = tbl["wavelength"] * u.Unit(tbl.meta["wavelength_unit"])
flux = tbl["flux"] * u.Unit(tbl.meta["flux_unit"])
specs += [SourceSpectrum(Empirical1D, points=wave, lookup_table=flux)]
return specs
def test_returns_empty_dict_if_comments_not_in_table_meta(self):
tbl = ioascii.read("""col1 col2
0 1 """)
dic = convert_table_comments_to_dict(tbl)
assert dic == {}