def main():
m = ProAdverbManager()
proximal_sing = Selector(Correlative.PROX, N5.SING, N5.SING, N5.SING,
N5.SING)
r = m.say(PLACE_PREP, proximal_sing, 'place', False)
assert r.tokens == ['here']
assert r.conjugation == Conjugation.S3
assert r.eat_prep == True
ss = 'here',
aaa = m.parse(ss)
assert len(aaa) == 1
prep, selector, noun = aaa[0]
assert prep == PLACE_PREP
assert selector.dump() == proximal_sing.dump()
assert noun == 'place'
existential_sing = Selector(Correlative.EXIST, N5.SING, N5.SING, N5.DUAL,
N5.MANY)
r = m.say(None, existential_sing, 'person', False)
assert r.tokens == ['someone']
assert r.conjugation == Conjugation.S3
assert r.eat_prep == False
ss = 'someone',
aaa = m.parse(ss)
assert len(aaa) == 1
prep, selector, noun = aaa[0]
assert prep == None
assert selector.dump() == existential_sing.dump()
assert noun == 'person'
def test_say(m):
selector = Selector(Correlative.DEF, N5.FEW, N5.FEW, N5.FEW, N5.FEW)
r = SayResult(tokens=['the'], conjugation=Conjugation.P3, eat_prep=False)
say(m, selector, False, r)
selector = Selector(Correlative.DEF, N5.SING, N5.SING, N5.SING, N5.SING)
r = SayResult(tokens=['the'], conjugation=Conjugation.S3, eat_prep=False)
say(m, selector, False, r)
selector = Selector(Correlative.DEF, N5.SING, N5.SING, N5.SING, N5.SING)
r = None
say(m, selector, True, r)
selector = Selector(Correlative.NEG, N5.ZERO, N5.ZERO, N5.DUAL, N5.DUAL)
r = SayResult(tokens=['neither'],
conjugation=Conjugation.P3,
eat_prep=False)
say(m, selector, False, r)
selector = Selector(Correlative.NEG, N5.ZERO, N5.ZERO, N5.DUAL, N5.DUAL)
r = SayResult(tokens=['neither'],
conjugation=Conjugation.P3,
eat_prep=False)
say(m, selector, True, r)
selector = Selector(Correlative.NEG, N5.ZERO, N5.ZERO, N5.FEW, N5.MANY)
r = SayResult(tokens=['no'], conjugation=Conjugation.P3, eat_prep=False)
say(m, selector, False, r)
selector = Selector(Correlative.NEG, N5.ZERO, N5.ZERO, N5.FEW, N5.MANY)
r = SayResult(tokens=['none'], conjugation=Conjugation.P3, eat_prep=False)
say(m, selector, True, r)
def test_parse(m):
parse(m, 'the', [])
parse(m, 'the _', [
Selector(Correlative.DEF, N5.SING, N5.MANY, N5.SING, N5.MANY),
])
parse(m, 'this', [
Selector(Correlative.PROX, N5.SING, N5.SING, N5.SING, N5.SING),
])
parse(m, 'both', [
Selector(Correlative.UNIV_ALL, N5.DUAL, N5.DUAL, N5.DUAL, N5.DUAL),
])
parse(m, 'neither', [
Selector(Correlative.NEG, N5.ZERO, N5.ZERO, N5.DUAL, N5.DUAL),
])
parse(m, 'either', [
Selector(Correlative.ELECT_ANY, N5.SING, N5.SING, N5.DUAL, N5.DUAL),
])
parse(m, 'any', [
Selector(Correlative.ELECT_ANY, N5.SING, N5.MANY, N5.FEW, N5.MANY),
])
def combine_entries(aaa, cor2res_gno):
"""
list of (Correlative, is pro, is plur, out of) -> (Selectors, Selectors)
"""
# They are all the same Correlative except for "some" (INDEF + EXIST).
cor_pro2ns_ofs = defaultdict(list)
for correlative, is_pro, is_plur, of in aaa:
if is_plur:
nn = [N5.ZERO, N5.DUAL, N5.FEW, N5.MANY]
else:
nn = [N5.SING]
nn = filter(lambda n: n <= of, nn)
for n in nn:
cor_pro2ns_ofs[(correlative, is_pro)].append((n, of))
# For each grouping,
dets = []
pros = []
for correlative, is_pro in sorted(cor_pro2ns_ofs):
ns_ofs = cor_pro2ns_ofs[(correlative, is_pro)]
# Collect the variety of how many/out of there are for this word.
ns, ofs = map(set, zip(*ns_ofs))
# Require that each out-of range is contiguous. This is also because it
# happens to be true and it allows Selectors to contain ranges instead
# of the insanity of individual N5s.
ofs = sorted(ofs)
assert ofs == range(ofs[0], ofs[-1] + 1)
for n_min, n_max in split_into_ranges(sorted(ns)):
# Get the possible range of how many they were selected from.
of_n_min = min(ofs)
of_n_max = max(ofs)
# Create a Selector that covers all of those tuples.
r = Selector(correlative, n_min, n_max, of_n_min, of_n_max)
count_restriction, _ = cor2res_gno[correlative]
r = r.fitted_to_count_restriction(count_restriction)
if not r:
continue
if is_pro:
pros.append(r)
else:
dets.append(r)
return dets, pros
def recog_dt_nn_head(self, root_token, noun, gram_n2):
"""
* (ADJS) NN(S) "fat mice"
* DT (ADJS) NN(S) "the fat mice"
"""
downs = filter(lambda (rel, child): rel not in ('cc', 'conj', 'prep'),
root_token.downs)
if downs:
dep, child = downs[0]
if dep != 'det':
return []
s = child.text
if s == 'a' or s == 'an':
s = A_OR_AN
maybe_selectors = self.det_pronoun_mgr.parse_determiner(s)
selectors = []
for maybe_selector in maybe_selectors:
for sel in maybe_selector.restricted_to_grammatical_number(
gram_n2, self.det_pronoun_mgr.cor2res_gno):
selectors.append(sel)
else:
if gram_n2 == N2.SING:
return []
selector = Selector(Correlative.INDEF, N5.DUAL, N5.MANY, N5.DUAL,
N5.MANY)
selectors = [selector]
attrs = []
for dep, child in downs[1:]:
if dep != 'amod':
return []
attrs.append(child.text)
nn = []
for selector in selectors:
n = SurfaceCommonNoun(selector=selector,
attributes=list(attrs),
noun=noun)
nn.append(n)
return map(lambda n: (None, n), nn)