def __call__(self, f):
r = match(f,
behave_(_, 'quote|引用', _, _), self.browse,
behave_(_, 'perception|感知', _, _), lambda arg: 'perception',
behave_(_, 'perception|感知', desc_('result|结果', _), _), lambda arg: arg.text,
_, None
)
return r
def test_match_absent_part():
f = build_anal_tree('Nós estudamos.', 'pt', 'stanza')
f.draw()
r = match(f, behave_(_, _1 << 'study', _2 << _,
_), lambda arg, v1, v2: [v1.text, v2.text],
behave_(_, _1 << 'study', _, _), lambda arg, v1: [v1.text],
behave_(_, _1 << 'learn', _2 << _, _),
lambda arg, v1, v2: [v1.text, v2.text], _, None)
assert ['estudamos'] == r
def test_match_embed_expr():
f = build_anal_tree('We expect them to change their minds', 'en', 'stanza')
f.draw()
r = match(
f,
behave_(_, _1 << 'expect|期望', _, _,
rel_('xcomp') == behave_(_, _2 << 'change|变', 'mind')),
lambda arg, v1, v2: [v1.text, v2.text], _, None)
assert ['expect', 'change'] == r
def test_match_expr():
f = build_anal_tree('Note the output is a string', 'en', 'stanza')
f.draw()
r = match(f, behave_(_, _1 << 'perception|感知', _2 << _, _),
lambda arg, v1, v2: [v1.text, v2.text], _, None)
assert ['Note', 'string'] == r
r = match(
f,
behave_(_, _1 << 'unknown', _2 << _, _),
lambda *args: 'unknown',
# behave_(_, 'perception|感知', _1 << desc_('result|结果', _), _),
# lambda arg, v1: [arg.behave.text, v1.target.text],
behave_(_, _1 << 'perception|感知', desc_('result|结果', _), _),
lambda arg, v1: [arg.behave.text, v1.text],
behave_(_, _1 << 'unknown2', _2 << _, _),
lambda *args: 'unknown2',
_,
None)
assert ['Note', 'Note'] == r
assert 0 == len(_1.reqs)
def test_match_expr():
f = build_anal_tree('Note the output is a string', 'en', 'stanza')
f.draw()
r=match(f,
behave_(_, 'perception|感知', _, _), lambda arg: 'perception',
behave_(_, 'perception|感知', desc_('result|结果', _), _), lambda arg: arg.text,
_, None
)
assert 'perception'==r
r = match(f,
behave_(_, 'unknown', _, _), lambda arg: 'unknown',
# behave_(_, 'perception|感知', desc_('result|结果', _), _),
# lambda arg: [arg.behave.text],
behave_(_, 'perception|感知', _1<<desc_('result|结果', _), _),
lambda arg, v1: [arg.behave.text, v1.target.text],
_, None
)
assert ['Note', 'output'] == r
# assert ['Note'] == r
r = match(f/'ccomp'/'nsubj',
'pos:noun', lambda arg: arg.text,
_, None
)
assert 'output' == r
r = match(f / 'ccomp' / 'nsubj',
'pos:pron', lambda arg: arg.text,
_, None
)
assert r is None
r = match(f,
behave_(_, 'perception|感知', _1<<_, _), lambda arg, v1: v1.text,
_, None
)
assert 'string' == r
r = match(f,
behave_(_, _1<<'perception|感知', _2 << _, _), lambda arg, v1, v2: [v1.text, v2.text],
_, None
)
assert ['Note', 'string'] == r
def _study(f, f_behave):
return match(f,
behave_(_, _1 << 'study|学习', _2 << _, _), lambda arg, *v: wrap_behave(f_behave),
behave_(_, _1 << 'study|学习', _, _), lambda arg, *v: wrap_behave(f_behave),
_, None)