def test_issue_92():
# https://github.com/goodmami/penman/issues/92
g = codec.decode('(a / alpha :ARG0~e.0 (b / beta))')
assert configure(g) == Tree(('a', [('/', 'alpha'),
(':ARG0~e.0', ('b', [('/', 'beta')]))]))
assert configure(g, top='b') == Tree(
('b', [('/', 'beta'), (':ARG0-of~e.0', ('a', [('/', 'alpha')]))]))
def encode(self,
g: Graph,
top: Variable = None,
indent: Union[int, None] = -1,
compact: bool = False) -> str:
"""
Serialize the graph *g* into PENMAN notation.
Args:
g: the Graph object
top: if given, the node to use as the top in serialization
indent: how to indent formatted strings
compact: if ``True``, put initial attributes on the first line
Returns:
the PENMAN-serialized string of the Graph *g*
Example:
>>> from penman.graph import Graph
>>> from penman.codec import PENMANCodec
>>> codec = PENMANCodec()
>>> codec.encode(Graph([('h', 'instance', 'hi')]))
'(h / hi)'
"""
tree = layout.configure(g, top=top, model=self.model)
return self.format(tree, indent=indent, compact=compact)
def _process_out(g, model, normalize_options):
if normalize_options['reconfigure']:
key, kwargs = normalize_options['reconfigure']
t = layout.reconfigure(g, key=key, **kwargs)
g = layout.interpret(t, model)
else:
t = layout.configure(g, model=model)
if normalize_options['rearrange']:
key, kwargs = normalize_options['rearrange']
layout.rearrange(t, key=key, **kwargs)
if normalize_options['make_variables']:
t.reset_variables(normalize_options['make_variables'])
return t
def test_issue_34():
# https://github.com/goodmami/penman/issues/34
g = codec.decode('''
# ::snt I think you failed to not not act.
(t / think
:ARG0 (i / i)
:ARG1 (f / fail
:ARG0 (y / you)
:ARG1 (a / act
:polarity -
:polarity -)))''')
assert configure(g) == Tree(
('t', [('/', 'think'), (':ARG0', ('i', [('/', 'i')])),
(':ARG1', ('f', [('/', 'fail'),
(':ARG0', ('y', [('/', 'you')])),
(':ARG1', ('a', [('/', 'act'),
(':polarity', '-'),
(':polarity', '-')]))]))]))
def test_configure(amr_model):
g = codec.decode('(a / A)')
assert configure(g) == Tree(('a', [('/', 'A')]))
with pytest.raises(LayoutError):
configure(g, top='A')
g = codec.decode('(a / A :consist-of (b / B))')
assert configure(g) == Tree(('a', [('/', 'A'),
(':consist-of', ('b', [('/', 'B')]))]))
assert configure(g, top='b') == Tree(
('b', [('/', 'B'), (':consist', ('a', [('/', 'A')]))]))
amr_codec = PENMANCodec(model=amr_model)
g = amr_codec.decode('(a / A :consist-of (b / B))')
assert configure(g, model=amr_model) == Tree(
('a', [('/', 'A'), (':consist-of', ('b', [('/', 'B')]))]))
assert configure(g, top='b', model=amr_model) == Tree(
('b', [('/', 'B'), (':consist-of-of', ('a', [('/', 'A')]))]))
def test_issue_93():
# https://github.com/goodmami/penman/issues/93
g = codec.decode('(a / alpha :ARG0 b~1)')
g.triples.append(('b', ':instance', 'beta'))
assert configure(g) == Tree(('a', [('/', 'alpha'),
(':ARG0', ('b', [('/', 'beta')]))]))
