def test_muscles1(self):
w = Worm()
w.muscle(Muscle(name='MDL08'))
w.muscle(Muscle(name='MDL15'))
w.save()
self.assertIn(Muscle(name='MDL08'), list(Worm().muscles()))
self.assertIn(Muscle(name='MDL15'), list(Worm().muscles()))
def test_verify_connections_have_evidence(self):
""" For each connection in PyOpenWorm, verify that there is
supporting evidence. """
net = Worm().get_neuron_network()
connections = list(net.synapses())
evcheck = []
for c in connections:
has_evidence = len(self.get_supporting_evidence(c))
evcheck.append(has_evidence)
self.assertTrue(0 not in evcheck)
def test_verify_connections_have_evidence(self):
""" For each connection in PyOpenWorm, verify that there is
supporting evidence. """
net = Worm().get_neuron_network()
connections = list(net.synapses())
evcheck = []
for c in connections:
has_evidence = len(self.get_supporting_evidence(c))
evcheck.append(has_evidence)
self.assertTrue(0 not in evcheck)
def test_muscles1(self):
w = Worm()
w.muscle(Muscle(name='MDL08'))
w.muscle(Muscle(name='MDL15'))
w.save()
self.assertIn(Muscle(name='MDL08'), list(Worm().muscles()))
self.assertIn(Muscle(name='MDL15'), list(Worm().muscles()))
def test_verify_muslces_have_evidence(self):
""" For each muscle in PyOpenWorm, verify
that there is supporting evidence"""
muscles = list(Worm().muscles())
evcheck = []
knowns = dict()
for n in muscles:
pp = [x.statements for x in (n.receptors, n.innervatedBy)]
for stmt in itertools.chain(*pp):
if stmt.context.identifier in knowns:
n = self.get_supporting_evidence(stmt)
knowns[stmt.context.identifier] = n
evcheck.append(n)
self.assertTrue(0 not in evcheck,
"There appears to be no evidence: " + str(evcheck))
def test_get_semantic_net(self):
g0 = Worm().get_semantic_net()
self.assertTrue(isinstance(g0, R.ConjunctiveGraph))
def test_get_network(self):
w = Worm()
w.neuron_network(Network())
w.save()
self.assertIsInstance(Worm().get_neuron_network(), Network)
def test_get_network(self):
w = Worm()
w.neuron_network(Network())
w.save()
self.assertIsInstance(Worm().get_neuron_network(), Network)