def test_only_applied_to_detector(self, in_flux, out_flux):
dtcr = _basic_detector()
dtcr._hdu.data[0, 0] = in_flux
lincurve = LinearityCurve(ndit=1, filename="test_linearity.dat")
new_dtcr = lincurve.apply_to(dtcr)
assert new_dtcr._hdu.data[0, 0] == out_flux
assert np.min(new_dtcr._hdu.data) == 0
def test_initialises_with_arrays(self):
lincurve = LinearityCurve(array_dict={
"incident": [0, 50, 100],
"measured": [0, 75, 100]
},
ndit=2)
assert "incident" in lincurve.table.colnames
assert "measured" in lincurve.table.colnames
def test_bypasses_non_detector_objects(self):
lincurve = LinearityCurve(ndit=1, filename="test_linearity.dat")
new_dict = lincurve.apply_to({"gigawatts": 1.21})
assert new_dict["gigawatts"] == 1.21
def test_initialises_with_filename(self):
lincurve = LinearityCurve(ndit=2, filename="test_linearity.dat")
assert "incident" in lincurve.table.colnames
assert "measured" in lincurve.table.colnames
def test_throws_error_with_no_keywords(self):
with pytest.raises(ValueError):
LinearityCurve()
def test_initialises_with_direct_ndit(self):
assert isinstance(LinearityCurve(ndit=1), LinearityCurve)
def test_initialises_with_vectors(self):
lincurve = LinearityCurve(incident=[0, 50, 100],
measured=[0, 75, 100],
ndit=2)
assert "incident" in lincurve.meta
assert "measured" in lincurve.meta