def test_concept_iterator_includes_parent_concepts(self):
parent = Store()
child = Store(parent)
parent.add_concept(Concept.word("p"))
child.add_concept(Concept.word("c"))
l = set(map(lambda c: c.name, child.concepts()))
self.assertEqual(l, {"p", "c"})
def test_uses_concepts_in_parent(self):
parent = Store()
child = Store(parent)
raw = Concept(
None, Relation.Class,
[Concept.word('c1'), Concept.word('c2')])
in_parent = parent.integrate(raw)
in_child = child.integrate(raw)
self.assertEqual(id(in_parent), id(in_child))
def subj(self, sentence) -> Iterable[Concept]:
s = self.dep(sentence, 'nsubj')
while s is not None:
p = self.dep(s, 'poss')
if p is None:
yield Concept.word(self.name(s))
else:
yield Concept(
None, Relation.Part,
[Concept.word(self.name(p)),
Concept.word(self.name(s))])
s = self.dep(s, 'conj')
def parse(expression: str, store: Store=None, label: str=None, probability: float=1.0):
if is_word(expression):
word = None
if store is not None:
word = store.get_word(expression)
if word is not None:
return next(word.meanings())
if label is None:
label = expression
return Concept.word(label)
else:
return parse_compound_concept(expression, store, label, probability=probability)
def parse_simple(self, root) -> Iterable:
if root.lemma_ == 'be':
attr = self.dep(root, 'attr')
if attr and (attr.pos_ == 'NOUN' or attr.pos_ == 'PROPN'):
rel = Relation.Class
prep = self.dep(root, 'prep')
if prep is not None and prep.lemma_ == 'like':
rel = Relation.Feature
attr_concept = Concept.word(self.name(attr))
poss = self.dep(attr, "poss")
if poss is not None:
attr_concept = Concept(
None, Relation.Part,
[Concept.word(self.name(poss)), attr_concept])
rel = Relation.Identical
for subj in self.subj(root): # type: Concept
if subj.relation == Relation.Part:
yield Concept(None, Relation.Identical,
[attr_concept, subj])
else:
yield Concept(None, rel, [subj, attr_concept])
acomp = self.dep(root, 'acomp')
if acomp and acomp.pos_ == 'ADJ':
for subj in self.subj(root):
yield Concept(None, Relation.Feature,
[subj, Concept.word(self.name(acomp))])
elif root.pos_ == 'VERB':
for subj in self.subj(root):
rel = Relation.Feature
aux = self.dep(root, 'aux')
mark = self.dep(root, 'mark')
if aux is not None and aux.lemma_ == 'be': # continuous
rel = Relation.Action
if aux is not None and aux.lemma_ == 'do' and aux.tag_ == 'VBD': # past tense with aux do
rel = Relation.Action
if root.tag_ == 'VBD': # past tense
rel = Relation.Action
if mark is not None and mark.lemma_ == 'if': # conditional
rel = Relation.Action
concept = Concept(None, rel,
[subj, Concept.word(self.name(root))])
features = []
npadvmod = self.dep(root, 'npadvmod')
if npadvmod is not None:
features.append(
Concept(None, Relation.Time,
[Concept.word(self.name(npadvmod))]))
advmod = self.dep(root, 'advmod')
if advmod is not None:
if advmod.lemma_ == 'where':
features.append(
Concept(None, Relation.Relative,
[Concept.word('?'),
Concept.word('?')]))
if advmod.lemma_ == 'when':
features.append(
Concept(None, Relation.Time, [Concept.word('?')]))
for prep in self.deps(root, 'prep'):
while prep is not None:
obj = self.dep(prep, 'pobj')
obj_name = '?'
if obj is not None:
obj_name = self.name(obj)
features.append(
Concept(None, Relation.Relative, [
Concept.word(self.name(prep)),
Concept.word(obj_name)
]))
prep = self.dep(prep, 'prep')
if len(features) > 0:
concept = Concept(None, Relation.Feature,
[concept] + features)
yield concept