def _check_events(self):
""" Check that all attributes but centroids contain consistent data.
Put default date, event_name and orig if not provided. Check not
repeated events (i.e. with same date and name)
Raises:
ValueError
"""
num_ev = len(self.event_id)
num_cen = len(self.centroids.id)
if np.unique(self.event_id).size != num_ev:
LOGGER.error("There are events with the same identifier.")
raise ValueError
check.check_oligatories(self.__dict__, self.vars_oblig, 'Hazard.',
num_ev, num_ev, num_cen)
check.check_optionals(self.__dict__, self.vars_opt, 'Hazard.', num_ev)
self.event_name = check.array_default(num_ev, self.event_name, \
'Hazard.event_name', list(self.event_id))
self.date = check.array_default(num_ev, self.date, 'Hazard.date', \
np.ones(self.event_id.shape, dtype=int))
self.orig = check.array_default(num_ev, self.orig, 'Hazard.orig', \
np.zeros(self.event_id.shape, dtype=bool))
if len(self._events_set()) != num_ev:
LOGGER.error("There are events with same date and name.")
raise ValueError
def test_check_oligatories_fail(self):
"""Wrong DummyClass definition"""
dummy = DummyClass()
dummy.array = np.arange(3)
with self.assertLogs('climada.util.checker', level='ERROR') as cm:
with self.assertRaises(ValueError):
check_oligatories(dummy.__dict__, dummy.vars_oblig, "DummyClass.",
dummy.id.size, dummy.id.size, 2)
self.assertIn('Invalid DummyClass.array size: 25 != 3.', cm.output[0])
dummy = DummyClass()
dummy.sparse_arr = sparse.csr.csr_matrix(np.zeros((25, 1)))
with self.assertLogs('climada.util.checker', level='ERROR') as cm:
with self.assertRaises(ValueError):
check_oligatories(dummy.__dict__, dummy.vars_oblig, "DummyClass.",
dummy.id.size, dummy.id.size, 2)
self.assertIn('Invalid DummyClass.sparse_arr column size: 2 != 1.', cm.output[0])
def test_check_oligatories_fail(self):
"""Wrong DummyClass definition"""
dummy = DummyClass()
dummy.array = np.arange(3)
with self.assertRaises(ValueError) as cm:
u_check.check_oligatories(dummy.__dict__, dummy.vars_oblig,
"DummyClass.", dummy.id.size,
dummy.id.size, 2)
self.assertIn('Invalid DummyClass.array size: 25 != 3.',
str(cm.exception))
dummy = DummyClass()
dummy.sparse_arr = sparse.csr.csr_matrix(np.zeros((25, 1)))
with self.assertRaises(ValueError) as cm:
u_check.check_oligatories(dummy.__dict__, dummy.vars_oblig,
"DummyClass.", dummy.id.size,
dummy.id.size, 2)
self.assertIn('Invalid DummyClass.sparse_arr column size: 2 != 1.',
str(cm.exception))
def test_check_oligatories_pass(self):
"""Correct DummyClass definition"""
dummy = DummyClass()
check_oligatories(dummy.__dict__, dummy.vars_oblig, "DummyClass.",
dummy.id.size, dummy.id.size, 2)