def test_load_single_worksheet(self):
file = resource_filename(
sbc.__name__, "tests/data/sensor_filters/sensor_filters.xlsx")
expected_name = "3_band_350_900"
loaded_filters = sbc.load_sensor_filters_excel(
file, normalise=False, sheet_names=[expected_name])
assert len(loaded_filters) == 1
assert isinstance(loaded_filters, dict)
assert expected_name in loaded_filters
def test_normalise(self):
file = resource_filename(
sbc.__name__, "tests/data/sensor_filters/sensor_filters.xlsx")
expected_name = "3_band_350_900"
loaded_filters = sbc.load_sensor_filters_excel(
file, normalise=True, sheet_names=[expected_name])
actual_filter = loaded_filters[expected_name][1]
assert np.allclose(actual_filter[0, ].max(), 1.0)
assert np.allclose(actual_filter[1, ].max(), 1.0)
assert np.allclose(actual_filter[2, ].max(), 1.0)
def test_load_multiple_skips_invalid_and_missing_sheets(self):
file = resource_filename(
sbc.__name__, 'tests/data/sensor_filters/sensor_filters.xlsx')
good_names = ['3_band_350_900', '5_band_400_800']
missing_names = ['Monty_Hall', 'Monty_Python']
invalid_names = ['Deliberately_Invalid', 'wavelengths_out_of_sequence']
names = good_names + missing_names + invalid_names
loaded_filters = sbc.load_sensor_filters_excel(file,
normalise=False,
sheet_names=names)
assert len(loaded_filters) == len(good_names)
def test_undersampled_worksheet(self):
""" Current functionality is to skip any sensor filters that are not
already specified at exact 1nm bands.
When interpolation is implemented, this test will need to change to
reflect the new expectations.
"""
# TODO: update test when band interpolation is implemented
file = resource_filename(
sbc.__name__, "tests/data/sensor_filters/sensor_filters.xlsx")
expected_name = "10nm_3_bands_350_900"
loaded_filters = sbc.load_sensor_filters_excel(
file, normalise=False, sheet_names=[expected_name])
assert len(loaded_filters) == 0
def test_load_multiple_skips_invalid_and_missing_sheets(self):
file = resource_filename(
sbc.__name__,
"tests/data/sensor_filters/sensor_filters_invalid_tests.xlsx")
good_names = ["3_band_350_900", "5_band_400_800"]
missing_names = ["Monty_Hall", "Monty_Python"]
invalid_names = ["Deliberately_Invalid", "wavelengths_out_of_sequence"]
names = good_names + missing_names + invalid_names
loaded_filters = sbc.load_sensor_filters_excel(file,
normalise=False,
sheet_names=names)
assert len(loaded_filters) == len(good_names)
for good_name in good_names:
assert good_name in loaded_filters
def test_valid_worksheet(self):
file = resource_filename(
sbc.__name__, "tests/data/sensor_filters/sensor_filters.xlsx")
expected_name = "3_band_350_900"
loaded_filters = sbc.load_sensor_filters_excel(
file, normalise=False, sheet_names=[expected_name])
actual_filter = loaded_filters[expected_name][1]
assert isinstance(actual_filter, np.ndarray)
assert actual_filter.shape == (3, 551)
assert np.allclose(actual_filter[0, ].min(), 0.43)
assert np.allclose(actual_filter[0, ].max(), 4.3)
assert np.allclose(actual_filter[1, ].min(), 0.1)
assert np.allclose(actual_filter[1, ].max(), 2.39)
assert np.allclose(actual_filter[2, ].min(), 0.9)
assert np.allclose(actual_filter[2, ].max(), 11.0)
def test_wavelengths(self):
file = resource_filename(
sbc.__name__, "tests/data/sensor_filters/sensor_filters.xlsx")
expected_names = [
"3_band_350_900", "5_band_400_800", "4_band_300_1000"
]
loaded_filters = sbc.load_sensor_filters_excel(
file, normalise=False, sheet_names=expected_names)
expected_wavelengths = {
expected_names[0]: (range(350, 901, 1)),
expected_names[1]: (range(400, 801, 1)),
expected_names[2]: (range(300, 1001, 1)),
}
assert len(loaded_filters) == len(expected_names)
for name in expected_names:
expected = expected_wavelengths[name]
actual = loaded_filters[name][0]
assert len(expected) == len(actual)
assert np.allclose(expected, actual)
assert isinstance(actual, np.ndarray)
def test_load_all_worksheets(self):
file = resource_filename(
sbc.__name__, "tests/data/sensor_filters/sensor_filters.xlsx")
loaded_filters = sbc.load_sensor_filters_excel(file)
assert len(loaded_filters) == 3
def test_unknown_worksheet_doesnt_throw(self):
file = resource_filename(
sbc.__name__, "tests/data/sensor_filters/sensor_filters.xlsx")
sbc.load_sensor_filters_excel(file, sheet_names=["non_existant"])
def test_xls_format(self):
file = resource_filename(
sbc.__name__, "tests/data/sensor_filters/sensor_filters.xls")
loaded_filters = sbc.load_sensor_filters_excel(file)
assert len(loaded_filters) == 1