# coding:utf-8 # MIT License # # Copyright (c) 2022 xfbai # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. 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 op_model = Model() noop_model = NoOpModel() amr_model = amr.model DEFAULT = op_model def _get_model(dereify): if dereify is None: return DEFAULT elif dereify: return op_model else: return noop_model def _remove_wiki(graph): metadata = graph.metadata triples = [] for t in graph.triples: v1, rel, v2 = t if rel == ":wiki": t = Triple(v1, rel, "+") triples.append(t) graph = Graph(triples) graph.metadata = metadata return graph def load(source, dereify=None, remove_wiki=False): model = _get_model(dereify) out = load_(source=source, model=model) if remove_wiki: for i in range(len(out)): out[i] = _remove_wiki(out[i]) return out def loads(string, dereify=None, remove_wiki=False): model = _get_model(dereify) out = loads_(string=string, model=model) if remove_wiki: for i in range(len(out)): out[i] = _remove_wiki(out[i]) return out def encode(g, top=None, indent=-1, compact=False): model = amr_model return encode_(g=g, top=top, indent=indent, compact=compact, model=model)