def _get_model(amr, model_file):
if amr:
from penman.models.amr import model
elif model_file:
model = Model(**json.load(model_file))
else:
model = Model()
return model
def _interpret_node(t: Node, variables: Set[Variable], model: Model):
has_concept = False
triples = []
epidata = {}
var, edges = t
for role, target in edges:
epis: List[Epidatum] = []
if role == '/':
role = CONCEPT_ROLE
has_concept = True
elif '~' in role:
role, _, alignment = role.partition('~')
epis.append(RoleAlignment.from_string(alignment))
# atomic targets
if is_atomic(target):
# remove any alignments
if target and '~' in target:
if target.startswith('"'):
# need to handle alignments on strings differently
# because strings may contain ~ inside the quotes
pivot = target.rindex('"') + 1
if pivot < len(target):
epis.append(Alignment.from_string(target[pivot:]))
target = target[:pivot]
else:
target, _, alignment = target.partition('~')
epis.append(Alignment.from_string(alignment))
triple = (var, role, target)
if model.is_role_inverted(role):
if target in variables:
triple = model.invert(triple)
else:
logger.warning('cannot deinvert attribute: %r', triple)
triples.append(triple)
epidata[triple] = epis
# nested nodes
else:
triple = model.deinvert((var, role, target[0]))
triples.append(triple)
epidata[triple] = epis
# recurse to nested nodes
epidata[triple].append(Push(target[0]))
_, _triples, _epis = _interpret_node(target, variables, model)
triples.extend(_triples)
epidata.update(_epis)
epidata[triples[-1]].append(POP)
if not has_concept:
instance = (var, CONCEPT_ROLE, None)
triples.insert(0, instance)
epidata[instance] = []
return var, triples, epidata
def test_is_concept_dereifiable(self, mini_amr):
m = Model()
assert not m.is_concept_dereifiable('chase-01')
assert not m.is_concept_dereifiable(':mod')
assert not m.is_concept_dereifiable('have-mod-91')
m = Model.from_dict(mini_amr)
assert not m.is_concept_dereifiable('chase-01')
assert not m.is_concept_dereifiable(':mod')
assert m.is_concept_dereifiable('have-mod-91')
def reify_edges(g: Graph, model: Model) -> Graph:
"""
Reify all edges in *g* that have reifications in *model*.
Args:
g: a :class:`~penman.graph.Graph` object
model: a model defining reifications
Returns:
A new :class:`~penman.graph.Graph` object with reified edges.
Example:
>>> from penman.codec import PENMANCodec
>>> from penman.models.amr import model
>>> from penman.transform import reify_edges
>>> codec = PENMANCodec(model=model)
>>> g = codec.decode('(c / chapter :mod 7)')
>>> g = reify_edges(g, model)
>>> print(codec.encode(g))
(c / chapter
:ARG1-of (_ / have-mod-91
:ARG2 7))
"""
vars = g.variables()
if model is None:
model = Model()
new_epidata = dict(g.epidata)
new_triples: List[BasicTriple] = []
for triple in g.triples:
if model.is_role_reifiable(triple[1]):
in_triple, node_triple, out_triple = model.reify(triple, vars)
if appears_inverted(g, triple):
in_triple, out_triple = out_triple, in_triple
new_triples.extend((in_triple, node_triple, out_triple))
var = node_triple[0]
vars.add(var)
# manage epigraphical markers
new_epidata[in_triple] = [Push(var)]
old_epis = new_epidata.pop(triple) if triple in new_epidata else []
node_epis, out_epis = _edge_markers(old_epis)
new_epidata[node_triple] = node_epis
new_epidata[out_triple] = out_epis
# we don't know where to put the final POP without configuring
# the tree; maybe this should be a tree operation?
else:
new_triples.append(triple)
g = Graph(new_triples,
epidata=new_epidata,
metadata=g.metadata)
logger.info('Reified edges: %s', g)
return g
def canonicalize_roles(t: Tree, model: Model) -> Tree:
"""
Normalize roles in *t* so they are canonical according to *model*.
This is a tree transformation instead of a graph transformation
because the orientation of the pure graph's triples is not decided
until the graph is configured into a tree.
Args:
t: a :class:`Tree` object
model: a model defining role normalizations
Returns:
A new :class:`Tree` object with canonicalized roles.
Example:
>>> from penman.codec import PENMANCodec
>>> from penman.models.amr import model
>>> from penman.transform import canonicalize_roles
>>> codec = PENMANCodec()
>>> t = codec.parse('(c / chapter :domain-of 7)')
>>> t = canonicalize_roles(t, model)
>>> print(codec.format(t))
(c / chapter
:mod 7)
"""
if model is None:
model = Model()
tree = Tree(_canonicalize_node(t.node, model), metadata=t.metadata)
logger.info('Canonicalized roles: %s', tree)
return tree
def _interpret_node(t: Node, variables: Set[Variable], model: Model):
has_concept = False
triples = []
epidata = {}
var, edges = t
for role, target in edges:
epis: List[Epidatum] = []
if role == '/':
role = CONCEPT_ROLE
has_concept = True
elif '~' in role:
role, _, alignment = role.partition('~')
epis.append(RoleAlignment.from_string(alignment))
# atomic targets
if is_atomic(target):
if target and '~' in target:
target, _, alignment = target.partition('~')
epis.append(Alignment.from_string(alignment))
triple = (var, role, target)
if model.is_role_inverted(role):
if target in variables:
triple = model.invert(triple)
else:
logger.warning('cannot deinvert attribute: %r', triple)
triples.append(triple)
epidata[triple] = epis
# nested nodes
else:
triple = model.deinvert((var, role, target[0]))
triples.append(triple)
epidata[triple] = epis
# recurse to nested nodes
epidata[triple].append(Push(target[0]))
_, _triples, _epis = _interpret_node(target, variables, model)
triples.extend(_triples)
epidata.update(_epis)
epidata[triples[-1]].append(POP)
if not has_concept:
instance = (var, CONCEPT_ROLE, None)
triples.insert(0, instance)
epidata[instance] = []
return var, triples, epidata
def _dereify_agenda(g: Graph, model: Model) -> _Dereification:
alns = alignments(g)
agenda: _Dereification = {}
fixed: Set[Target] = set([g.top])
inst: Dict[Variable, BasicTriple] = {}
other: Dict[Variable, List[BasicTriple]] = {}
for triple in g.triples:
var, role, tgt = triple
if role == CONCEPT_ROLE:
inst[var] = triple
else:
fixed.add(tgt)
if var not in other:
other[var] = [triple]
else:
other[var].append(triple)
for var, instance in inst.items():
if (var not in fixed
and len(other.get(var, [])) == 2
and model.is_concept_dereifiable(instance[2])):
# passed initial checks
# now figure out which other edge is the first one
first, second = other[var]
if get_pushed_variable(g, second) == var:
first, second = second, first
try:
dereified = model.dereify(instance, first, second)
except ModelError:
pass
else:
# migrate epidata
epidata: List[Epidatum] = []
if instance in alns:
aln = alns[instance]
epidata.append(
RoleAlignment(aln.indices, prefix=aln.prefix))
epidata.extend(epi for epi in g.epidata[second]
if not isinstance(epi, RoleAlignment))
agenda[var] = (first, dereified, epidata)
return agenda
def _interpret_node(t: Node, variables: Set[Variable], model: Model):
has_concept = False
triples = []
epidata = []
var, edges = t
for role, target in edges:
epis: List[Epidatum] = []
role, role_epis = _process_role(role)
epis.extend(role_epis)
has_concept |= role == CONCEPT_ROLE
# atomic targets
if is_atomic(target):
target, target_epis = _process_atomic(target)
epis.extend(target_epis)
triple = (var, role, target)
if model.is_role_inverted(role):
if target in variables:
triple = model.invert(triple)
else:
logger.warning('cannot deinvert attribute: %r', triple)
triples.append(triple)
epidata.append((triple, epis))
# nested nodes
else:
triple = model.deinvert((var, role, target[0]))
triples.append(triple)
epis.append(Push(target[0]))
epidata.append((triple, epis))
# recurse to nested nodes
_, _triples, _epis = _interpret_node(target, variables, model)
triples.extend(_triples)
_epis[-1][1].append(POP) # POP from last triple of nested node
epidata.extend(_epis)
if not has_concept:
instance = (var, CONCEPT_ROLE, None)
triples.insert(0, instance)
epidata.append((instance, []))
return var, triples, epidata
def _canonicalize_node(node: Node, model: Model) -> Node:
var, edges = node
canonical_edges = []
for i, edge in enumerate(edges):
role, tgt = edge
# alignments aren't parsed off yet, so handle them superficially
role, tilde, alignment = role.partition('~')
if not is_atomic(tgt):
tgt = _canonicalize_node(tgt, model)
canonical_role = model.canonicalize_role(role) + tilde + alignment
canonical_edges.append((canonical_role, tgt))
return (var, canonical_edges)
def dereify_edges(g: Graph, model: Model) -> Graph:
"""
Dereify edges in *g* that have reifications in *model*.
Args:
g: a :class:`~penman.graph.Graph` object
Returns:
A new :class:`~penman.graph.Graph` object with dereified
edges.
Example:
>>> from penman.codec import PENMANCodec
>>> from penman.models.amr import model
>>> from penman.transform import dereify_edges
>>> codec = PENMANCodec(model=model)
>>> g = codec.decode(
... '(c / chapter'
... ' :ARG1-of (_ / have-mod-91'
... ' :ARG2 7))')
>>> g = dereify_edges(g, model)
>>> print(codec.encode(g))
(c / chapter
:mod 7)
"""
if model is None:
model = Model()
agenda = _dereify_agenda(g, model)
new_epidata = dict(g.epidata)
new_triples: List[BasicTriple] = []
for triple in g.triples:
var = triple[0]
if var in agenda:
first, dereified, epidata = agenda[var]
# only insert at the first triple so the dereification
# appears in the correct location
if triple == first:
new_triples.append(dereified)
new_epidata[dereified] = epidata
if triple in new_epidata:
del new_epidata[triple]
else:
new_triples.append(triple)
g = Graph(new_triples,
epidata=new_epidata,
metadata=g.metadata)
logger.info('Dereified edges: %s', g)
return g
def load_amr_file(source, dereify=None, remove_wiki=False):
assert remove_wiki in (False, 'replace', 'remove')
# Select the model to use
if dereify is None or dereify: # None or True (odd way to do default logic)
model = Model() # default penman model, same as load(..., model=None)
else: # False
model = noop_model
# Load the data
out = penman.load(source=source, model=model)
# Remove or replace the wiki tags
if remove_wiki == 'remove':
for i in range(len(out)):
out[i] = _remove_wiki(out[i])
elif remove_wiki == 'replace':
for i in range(len(out)):
out[i] = _replace_wiki(out[i])
return out
def test_errors(self, mini_amr):
m = Model()
a = Model.from_dict(mini_amr)
# basic roles
g = Graph([('a', ':instance', 'alpha')])
assert m.errors(g) == {}
g = Graph([('a', ':instance', 'alpha'), ('a', ':mod', '1')])
assert m.errors(g) == {('a', ':mod', '1'): ['invalid role']}
assert a.errors(g) == {}
# regex role names
g = Graph([('n', ':instance', 'name'), ('n', ':op1', 'Foo'),
('n', ':op2', 'Bar')])
assert a.errors(g) == {}
# disconnected graph
g = Graph([('a', ':instance', 'alpha'), ('b', ':instance', 'beta')])
assert m.errors(g) == {('b', ':instance', 'beta'): ['unreachable']}
assert a.errors(g) == {('b', ':instance', 'beta'): ['unreachable']}
def test_dereify(self, mini_amr):
# (a :ARG1-of (_ / age-01 :ARG2 b)) -> (a :age b)
t1 = ('_', ':instance', 'have-mod-91')
t1b = ('_', ':instance', 'chase-01')
t2 = ('_', ':ARG1', 'a')
t3 = ('_', ':ARG2', 'b')
m = Model()
with pytest.raises(TypeError):
m.dereify(t1)
with pytest.raises(TypeError):
m.dereify(t1, t2)
with pytest.raises(ModelError):
m.dereify(t1, t2, t3)
m = Model.from_dict(mini_amr)
assert m.dereify(t1, t2, t3) == ('a', ':mod', 'b')
assert m.dereify(t1, t3, t2) == ('a', ':mod', 'b')
with pytest.raises(ModelError):
m.dereify(t1b, t2, t3)
def test_reify(self, mini_amr):
m = Model()
with pytest.raises(ModelError):
m.reify(('a', ':ARG0', 'b'))
with pytest.raises(ModelError):
m.reify(('a', ':accompanier', 'b'))
with pytest.raises(ModelError):
m.reify(('a', ':domain', 'b'))
with pytest.raises(ModelError):
m.reify(('a', ':mod', 'b'))
m = Model.from_dict(mini_amr)
with pytest.raises(ModelError):
m.reify(('a', ':ARG0', 'b'))
assert m.reify(
('a', ':accompanier',
'b')) == (('_', ':ARG0', 'a'), ('_', ':instance', 'accompany-01'),
('_', ':ARG1', 'b'))
with pytest.raises(ModelError):
assert m.reify(('a', ':domain', 'b'))
assert m.reify(
('a', ':mod', 'b')) == (('_', ':ARG1', 'a'), ('_', ':instance',
'have-mod-91'),
('_', ':ARG2', 'b'))
# ensure unique ids if variables is specified
assert m.reify(('a', ':mod', 'b'),
variables={'a', 'b',
'_'}) == (('_2', ':ARG1', 'a'),
('_2', ':instance', 'have-mod-91'),
('_2', ':ARG2', 'b'))
from penman import layout
from penman.layout import (
interpret,
rearrange,
configure,
reconfigure,
get_pushed_variable,
appears_inverted,
node_contexts,
)
random.seed(1)
codec = PENMANCodec()
model = Model()
@pytest.fixture(scope='module')
def amr_model(mini_amr):
return Model.from_dict(mini_amr)
def test_interpret(amr_model):
t = codec.parse('(a / A)')
assert interpret(t) == Graph([('a', ':instance', 'A')], top='a')
t = codec.parse('(a / A :consist-of (b / B))')
assert interpret(t) == Graph(
[('a', ':instance', 'A'),
('b', ':consist', 'a'),
def test_has_role(self, mini_amr):
m = Model()
assert not m.has_role('')
assert m.has_role(m.concept_role)
assert not m.has_role(':ARG0')
assert not m.has_role(':ARG0-of')
m = Model.from_dict(mini_amr)
assert not m.has_role('')
assert m.has_role(m.concept_role)
assert m.has_role(':ARG0')
assert m.has_role(':ARG0-of')
assert m.has_role(':mod')
assert m.has_role(':mod-of')
assert not m.has_role(':consist')
assert m.has_role(':consist-of')
assert m.has_role(':consist-of-of')
assert not m.has_role(':fake')
assert m.has_role(':op1')
assert m.has_role(':op10')
assert m.has_role(':op9999')
assert not m.has_role(':op[0-9]+')
def test_is_role_reifiable(self, mini_amr):
m = Model()
assert not m.is_role_reifiable(':ARG0')
assert not m.is_role_reifiable(':accompanier')
assert not m.is_role_reifiable(':domain')
assert not m.is_role_reifiable(':mod')
m = Model.from_dict(mini_amr)
assert not m.is_role_reifiable(':ARG0')
assert m.is_role_reifiable(':accompanier')
assert not m.is_role_reifiable(':domain')
assert m.is_role_reifiable(':mod')
def test_from_dict(self, mini_amr):
assert Model.from_dict(mini_amr) == Model(
roles=mini_amr['roles'],
normalizations=mini_amr['normalizations'],
reifications=mini_amr['reifications'])
def test_canonicalize(self, mini_amr):
m = Model()
assert m.canonicalize(('a', ':ARG0', 'b')) == ('a', ':ARG0', 'b')
assert m.canonicalize(('a', ':ARG0-of', 'b')) == ('a', ':ARG0-of', 'b')
assert m.canonicalize(('a', ':ARG0-of-of', 'b')) == ('a', ':ARG0', 'b')
assert m.canonicalize(('a', ':consist', 'b')) == ('a', ':consist', 'b')
assert m.canonicalize(
('a', ':consist-of', 'b')) == ('a', ':consist-of', 'b')
assert m.canonicalize(
('a', ':consist-of-of', 'b')) == ('a', ':consist', 'b')
assert m.canonicalize(('a', ':mod', 'b')) == ('a', ':mod', 'b')
assert m.canonicalize(('a', ':mod-of', 'b')) == ('a', ':mod-of', 'b')
assert m.canonicalize(('a', ':domain', 'b')) == ('a', ':domain', 'b')
assert m.canonicalize(
('a', ':domain-of', 'b')) == ('a', ':domain-of', 'b')
# without :
assert m.canonicalize(('a', 'ARG0', 'b')) == ('a', ':ARG0', 'b')
assert m.canonicalize(('a', 'ARG0-of', 'b')) == ('a', ':ARG0-of', 'b')
assert m.canonicalize(('a', 'ARG0-of-of', 'b')) == ('a', ':ARG0', 'b')
m = Model.from_dict(mini_amr)
assert m.canonicalize(('a', ':ARG0', 'b')) == ('a', ':ARG0', 'b')
assert m.canonicalize(('a', ':ARG0-of', 'b')) == ('a', ':ARG0-of', 'b')
assert m.canonicalize(('a', ':ARG0-of-of', 'b')) == ('a', ':ARG0', 'b')
assert m.canonicalize(
('a', ':consist', 'b')) == ('a', ':consist-of-of', 'b')
assert m.canonicalize(
('a', ':consist-of', 'b')) == ('a', ':consist-of', 'b')
assert m.canonicalize(
('a', ':consist-of-of', 'b')) == ('a', ':consist-of-of', 'b')
assert m.canonicalize(('a', ':mod', 'b')) == ('a', ':mod', 'b')
assert m.canonicalize(('a', ':mod-of', 'b')) == ('a', ':domain', 'b')
assert m.canonicalize(('a', ':domain', 'b')) == ('a', ':domain', 'b')
assert m.canonicalize(('a', ':domain-of', 'b')) == ('a', ':mod', 'b')
# without :
assert m.canonicalize(
('a', 'consist', 'b')) == ('a', ':consist-of-of', 'b')
assert m.canonicalize(
('a', 'consist-of', 'b')) == ('a', ':consist-of', 'b')
assert m.canonicalize(
('a', 'consist-of-of', 'b')) == ('a', ':consist-of-of', 'b')
def amr_model(mini_amr):
return Model.from_dict(mini_amr)
from typing import List
from penman import load as load_, Graph, Triple
from penman import loads as loads_
from penman import encode as encode_
from penman.model import Model
from penman.models.noop import NoOpModel
from penman.models import amr
import penman
import logging
op_model = Model()
noop_model = NoOpModel()
amr_model = amr.model
DEFAULT = op_model
# Mute loggers
penman.layout.logger.setLevel(logging.CRITICAL)
penman._parse.logger.setLevel(logging.CRITICAL)
def _get_model(dereify):
if dereify is None:
return DEFAULT
elif dereify:
return op_model
else:
return noop_model
def _remove_wiki(graph):
def test__init__(self, mini_amr):
m = Model()
assert len(m.roles) == 0
m = Model(roles=mini_amr['roles'])
assert len(m.roles) == 7
def test_is_role_inverted(self, mini_amr):
m = Model()
assert m.is_role_inverted(':ARG0-of')
assert m.is_role_inverted(':-of')
assert not m.is_role_inverted(':ARG0')
assert not m.is_role_inverted(':')
assert m.is_role_inverted(':consist-of')
# # without :
# assert m.is_role_inverted('ARG0-of')
# assert not m.is_role_inverted('ARG0')
m = Model.from_dict(mini_amr)
assert m.is_role_inverted(':mod-of')
assert m.is_role_inverted(':domain-of')
assert not m.is_role_inverted(':mod')
assert not m.is_role_inverted(':domain')
assert m.is_role_inverted(':consist-of-of')
assert not m.is_role_inverted(':consist-of')
from typing import Union, Mapping, Callable, Any, List, Set, cast
import copy
import logging
from penman.exceptions import LayoutError
from penman.types import Variable, BasicTriple
from penman.epigraph import Epidatum
from penman.surface import (Alignment, RoleAlignment)
from penman.tree import (Tree, Node, Branch, is_atomic)
from penman.graph import (Graph, CONCEPT_ROLE)
from penman.model import Model
logger = logging.getLogger(__name__)
_default_model = Model()
_Nodemap = Mapping[Variable, Union[Node, None]]
# Epigraphical markers
class LayoutMarker(Epidatum):
"""Epigraph marker for layout choices."""
class Push(LayoutMarker):
"""Epigraph marker to indicate a new node context."""
__slots__ = 'variable',
def test_invert_role(self, mini_amr):
m = Model()
assert m.invert_role(':ARG0') == ':ARG0-of'
assert m.invert_role(':ARG0-of') == ':ARG0'
assert m.invert_role(':consist-of') == ':consist'
assert m.invert_role(':mod') == ':mod-of'
assert m.invert_role(':domain') == ':domain-of'
# # without :
# assert m.invert_role('ARG0') == 'ARG0-of'
# assert m.invert_role('ARG0-of') == 'ARG0'
m = Model.from_dict(mini_amr)
assert m.invert_role(':ARG0') == ':ARG0-of'
assert m.invert_role(':ARG0-of') == ':ARG0'
assert m.invert_role(':consist-of') == ':consist-of-of'
assert m.invert_role(':mod') == ':mod-of'
assert m.invert_role(':domain') == ':domain-of'
def __init__(self, model: Model = None):
if model is None:
model = Model()
self.model = model
def test_invert(self, mini_amr):
m = Model()
assert m.invert(('a', ':ARG0', 'b')) == ('b', ':ARG0-of', 'a')
assert m.invert(('a', ':ARG0-of', 'b')) == ('b', ':ARG0', 'a')
assert m.invert(('a', ':consist-of', 'b')) == ('b', ':consist', 'a')
assert m.invert(('a', ':mod', 'b')) == ('b', ':mod-of', 'a')
assert m.invert(('a', ':domain', 'b')) == ('b', ':domain-of', 'a')
# # without :
# assert m.invert(('a', 'ARG0', 'b')) == ('b', 'ARG0-of', 'a')
# assert m.invert(('a', 'ARG0-of', 'b')) == ('b', 'ARG0', 'a')
m = Model.from_dict(mini_amr)
assert m.invert(('a', ':ARG0', 'b')) == ('b', ':ARG0-of', 'a')
assert m.invert(('a', ':ARG0-of', 'b')) == ('b', ':ARG0', 'a')
assert m.invert(
('a', ':consist-of', 'b')) == ('b', ':consist-of-of', 'a')
assert m.invert(('a', ':mod', 'b')) == ('b', ':mod-of', 'a')
assert m.invert(('a', ':domain', 'b')) == ('b', ':domain-of', 'a')
(":meaning", "mean-01", ":ARG1", ":ARG2"),
(":mod", "have-mod-91", ":ARG1", ":ARG2"),
(":name", "have-name-91", ":ARG1", ":ARG2"),
(":ord", "have-ord-91", ":ARG1", ":ARG2"),
(":part", "have-part-91", ":ARG1", ":ARG2"),
(":polarity", "have-polarity-91", ":ARG1", ":ARG2"),
(":poss", "own-01", ":ARG0", ":ARG1"),
(":poss", "have-03", ":ARG0", ":ARG1"),
(":purpose", "have-purpose-91", ":ARG1", ":ARG2"),
(":role", "have-org-role-91", ":ARG0", ":ARG2"),
(":source", "be-from-91", ":ARG1", ":ARG2"),
(":subevent", "have-subevent-91", ":ARG1", ":ARG2"),
(":subset", "include-91", ":ARG2", ":ARG1"),
(":superset", "include-91", ":ARG1", ":ARG2"),
(":time", "be-temporally-at-91", ":ARG1", ":ARG2"),
(":topic", "concern-02", ":ARG0", ":ARG1"),
(":value", "have-value-91", ":ARG1", ":ARG2"),
(":quant", "have-quant-91", ":ARG1", ":ARG2"),
]
#: The AMR model is an instance of :class:`~penman.model.Model` using
#: the roles, normalizations, and reifications defined in this module.
model = Model(
top_variable='top',
top_role=':TOP',
concept_role=':instance',
roles=roles,
normalizations=normalizations,
reifications=reifications,
)
from penman.model import Model
from penman.models.amr import model as amr_model
from penman.codec import PENMANCodec
from penman.transform import (
canonicalize_roles,
reify_edges,
dereify_edges,
reify_attributes,
indicate_branches,
)
def_model = Model()
def_codec = PENMANCodec(model=def_model)
amr_codec = PENMANCodec(model=amr_model)
def test_canonicalize_roles_default_codec():
parse = def_codec.parse
norm = lambda t: canonicalize_roles(t, def_model)
format = lambda t: def_codec.format(t, indent=None)
t = norm(parse('(a / alpha :ARG1 (b / beta))'))
assert format(t) == '(a / alpha :ARG1 (b / beta))'
t = norm(parse('(a / alpha :ARG1-of-of (b / beta))'))
assert format(t) == '(a / alpha :ARG1 (b / beta))'
t = norm(parse('(a / alpha :mod-of (b / beta))'))
assert format(t) == '(a / alpha :mod-of (b / beta))'
def test_canonicalize_role(self, mini_amr):
m = Model()
assert m.canonicalize_role(':ARG0') == ':ARG0'
assert m.canonicalize_role(':ARG0-of') == ':ARG0-of'
assert m.canonicalize_role(':ARG0-of-of') == ':ARG0'
assert m.canonicalize_role(':consist') == ':consist'
assert m.canonicalize_role(':consist-of') == ':consist-of'
assert m.canonicalize_role(':consist-of-of') == ':consist'
assert m.canonicalize_role(':mod') == ':mod'
assert m.canonicalize_role(':mod-of') == ':mod-of'
assert m.canonicalize_role(':domain') == ':domain'
assert m.canonicalize_role(':domain-of') == ':domain-of'
# without :
assert m.canonicalize_role('ARG0') == ':ARG0'
assert m.canonicalize_role('ARG0-of') == ':ARG0-of'
assert m.canonicalize_role('ARG0-of-of') == ':ARG0'
m = Model.from_dict(mini_amr)
assert m.canonicalize_role(':ARG0') == ':ARG0'
assert m.canonicalize_role(':ARG0-of') == ':ARG0-of'
assert m.canonicalize_role(':ARG0-of-of') == ':ARG0'
assert m.canonicalize_role(':consist') == ':consist-of-of'
assert m.canonicalize_role(':consist-of') == ':consist-of'
assert m.canonicalize_role(':consist-of-of') == ':consist-of-of'
assert m.canonicalize_role(':mod') == ':mod'
assert m.canonicalize_role(':mod-of') == ':domain'
assert m.canonicalize_role(':domain') == ':domain'
assert m.canonicalize_role(':domain-of') == ':mod'
# without :
assert m.canonicalize_role('consist') == ':consist-of-of'
assert m.canonicalize_role('consist-of') == ':consist-of'
assert m.canonicalize_role('consist-of-of') == ':consist-of-of'