def test_reference(self):
data = Table.from_numpy(None, [[2, 1, 3], [4, 2, 6]])
reference = data[:1]
p = NormalizeReference(reference=reference)(data)
np.testing.assert_almost_equal(p, [[1, 1, 1], [2, 2, 2]])
s = NormalizePhaseReference(reference=reference)(data)
np.testing.assert_almost_equal(s, [[0, 0, 0], [2, 1, 3]])
def createinstance(params):
method = params.get("method", Normalize.Vector)
lower = params.get("lower", 0)
upper = params.get("upper", 4000)
int_method_index = params.get("int_method", 0)
int_method = IntegrateEditor.Integrators_classes[int_method_index]
attr = params.get("attr", None)
if method != NORMALIZE_BY_REFERENCE:
return Normalize(method=method, lower=lower, upper=upper,
int_method=int_method, attr=attr)
else:
# avoids circular imports
from orangecontrib.spectroscopy.widgets.owpreprocess import REFERENCE_DATA_PARAM
reference = params.get(REFERENCE_DATA_PARAM, None)
return NormalizeReference(reference=reference)
def createinstance(params):
method = params.get("method", Normalize.Vector)
lower = params.get("lower", 0)
upper = params.get("upper", 4000)
int_method_index = params.get("int_method", 0)
int_method = IntegrateEditor.Integrators_classes[int_method_index]
attr = params.get("attr", None)
if method not in (NORMALIZE_BY_REFERENCE, PHASE_REFERENCE):
return Normalize(method=method, lower=lower, upper=upper,
int_method=int_method, attr=attr)
else:
# avoids circular imports
reference = params.get(REFERENCE_DATA_PARAM, None)
if method == PHASE_REFERENCE:
return NormalizePhaseReference(reference=reference)
return NormalizeReference(reference=reference)
def test_reference_exceptions(self):
with self.assertRaises(MissingReferenceException):
NormalizeReference(reference=None)
with self.assertRaises(WrongReferenceException):
NormalizeReference(reference=Table.from_numpy(None, [[2], [6]]))
def test_reference_exceptions(self):
with self.assertRaises(MissingReferenceException):
NormalizeReference(reference=None)
with self.assertRaises(WrongReferenceException):
NormalizeReference(reference=Orange.data.Table([[2], [6]]))
def test_reference(self):
data = Orange.data.Table([[2, 1, 3], [4, 2, 6]])
reference = data[:1]
p = NormalizeReference(reference=reference)(data)
np.testing.assert_almost_equal(p, [[1, 1, 1], [2, 2, 2]])
