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