示例#1
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def test_dumps():
    assert penman.dumps([]) == ''
    assert penman.dumps([penman.Graph([('a', 'instance', None)])]) == '(a)'
    assert penman.dumps([
        penman.Graph([('a', 'instance', None)]),
        penman.Graph([('b', 'instance', None)]),
    ]) == '(a)\n\n(b)'
示例#2
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def test_dumps():
    assert penman.dumps([]) == ''
    assert penman.dumps([penman.Graph([('a', 'instance', None)])]) == '(a)'
    assert penman.dumps([
        penman.Graph([('a', 'instance', None)]),
        penman.Graph([('b', 'instance', None)]),
    ]) == '(a)\n\n(b)'
示例#3
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def dumps(ds, properties=False, lnk=True, indent=False):
    """
    Serialize DMRS objects to a PENMAN string.

    Args:
        ds: iterator of :class:`~delphin.mrs.dmrs.DMRS` objects to
            serialize
        properties: if `True`, encode variable properties
        lnk: if `False`, suppress surface alignments and strings
        indent: if `True`, adaptively indent; if `False` or `None`,
            don't indent; if a non-negative integer N, indent N spaces
            per level
    Returns:
        a PENMAN-serialization of the DMRS objects
    """
    if indent is True:
        indent = -1
    elif indent is False:
        indent = None
    to_graph = penman.Graph
    graphs = [
        to_graph(to_triples(d, properties=properties, lnk=lnk)) for d in ds
    ]
    try:
        return penman.dumps(graphs, indent=indent)
    except penman.PenmanError as exc:
        raise PyDelphinException('could not decode with Penman') from exc
示例#4
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def test_dumps_triples():
    assert penman.dumps([penman.Graph([('a', 'instance', None)])],
                        triples=True) == 'instance(a, None)'
    assert penman.dumps([penman.Graph([('a', 'instance', 'aaa')])],
                        triples=True) == 'instance(a, aaa)'
    assert penman.dumps(
        [penman.Graph([('a', 'instance', None), ('a', 'ARG', 'b')])],
        triples=True) == 'instance(a, None) ^\nARG(a, b)'

    class TestCodec(penman.PENMANCodec):
        TYPE_REL = 'test'
        TOP_VAR = 'TOP'
        TOP_REL = 'top'

    assert penman.dumps([penman.Graph([('a', 'ARG', 'b')])],
                        triples=True,
                        cls=TestCodec) == 'top(TOP, a) ^\nARG(a, b)'
示例#5
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def test_dumps_triples():
    assert penman.dumps(
        [penman.Graph([('a', 'instance', None)])], triples=True
    ) == 'instance(a, None)'
    assert penman.dumps(
        [penman.Graph([('a', 'instance', 'aaa')])], triples=True
    ) == 'instance(a, aaa)'
    assert penman.dumps(
        [penman.Graph([('a', 'instance', None), ('a', 'ARG', 'b')])],
        triples=True
    ) == 'instance(a, None) ^\nARG(a, b)'

    gs = penman.dumps(
        [penman.Graph([(1, 'instance', 'alpha')])],
        triples=True
    ) == 'instance(1, alpha)'

    gs = penman.dumps(
        [penman.Graph([(1.1, 'instance', 'alpha')])],
        triples=True
    ) == 'instance(1.1, alpha)'

    gs = penman.dumps(
        [penman.Graph([('"a string"', 'instance', 'alpha')])],
        triples=True
    ) == 'instance("a string", alpha)'

    class TestCodec(penman.PENMANCodec):
        TYPE_REL = 'test'
        TOP_VAR = 'TOP'
        TOP_REL = 'top'
    assert penman.dumps(
        [penman.Graph([('a', 'ARG', 'b')])],
        triples=True, cls=TestCodec
    ) == 'top(TOP, a) ^\nARG(a, b)'
示例#6
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文件: combine.py 项目: AlongWY/AMR
def main(args):
    with open(args.input, encoding='utf-8') as f, \
            open(args.extra, encoding='utf-8') as e, \
            open(args.output, mode='w', encoding='utf-8') as out:
        amr_pair: List[Tuple[Graph, Graph]]
        amr_pair = []
        for sent_num, (cur_amr1,
                       cur_amr2) in enumerate(generate_amr_lines(f, e),
                                              start=1):
            amr_pair.append((pp.decode(cur_amr1), pp.decode(cur_amr2)))

        amrs = []
        for idx, (amr, extra) in enumerate(amr_pair):
            amr.metadata.update(extra.metadata)
            amrs.append(amr)

        out.write(pp.dumps(amrs))
示例#7
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def dumps(xs, model=None, properties=False, indent=True, **kwargs):
    """
    Serialize Xmrs (or subclass) objects to PENMAN notation

    Args:
        xs: iterator of :class:`~delphin.mrs.xmrs.Xmrs` objects to
            serialize
        model: Xmrs subclass used to get triples
        properties: if `True`, encode variable properties
        indent: if `True`, adaptively indent; if `False` or `None`,
            don't indent; if a non-negative integer N, indent N spaces
            per level
    Returns:
        the PENMAN serialization of *xs*
    """
    xs = list(xs)

    if not xs:
        return ''

    given_class = xs[0].__class__  # assume they are all the same
    if model is None:
        model = xs[0].__class__

    if not hasattr(model, 'to_triples'):
        raise TypeError('{} class does not implement to_triples()'.format(
            model.__name__))

    # convert MRS to DMRS if necessary; EDS cannot convert
    if given_class.__name__ in ('Mrs', 'Xmrs'):
        xs = [model.from_xmrs(x, **kwargs) for x in xs]
    elif given_class.__name__ == 'Eds' and model.__name__ != 'Eds':
        raise ValueError('Cannot convert EDS to non-EDS')

    codec = XMRSCodec()
    graphs = [
        codec.triples_to_graph(model.to_triples(x, properties=properties))
        for x in xs
    ]

    if 'pretty_print' in kwargs:
        indent = kwargs['pretty_print']

    return penman.dumps(graphs, cls=XMRSCodec, indent=indent)
示例#8
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def dumps(xs, model=None, properties=False, indent=True, **kwargs):
    """
    Serialize [Xmrs] (or subclass) objects to PENMAN notation

    Args:
        xs: an iterator of [Xmrs] objects to serialize
        model: the Xmrs subclass used to get triples
        properties: if True, encode variable properties
        indent: if True, adaptively indent; if False or None, don't
            indent; if a non-negative integer N, indent N spaces per level
        pretty_print: (deprecated) if set, it overrides indent
    Returns:
        the PENMAN serialization of *xs*
    """
    xs = list(xs)
    
    if not xs:
        return ''

    if model is None:
        model = xs[0].__class__

    if not hasattr(model, 'to_triples'):
        raise TypeError(
            '{} class does not implement to_triples()'.format(model.__name__)
        )

    codec = XMRSCodec()
    graphs = [
        codec.triples_to_graph(
            model.to_triples(model.from_xmrs(x), properties=properties)
        )
        for x in xs
    ]

    if 'pretty_print' in kwargs:
        indent = kwargs['pretty_print']

    return penman.dumps(graphs, cls=XMRSCodec, indent=indent)