def test_language_shift(value, expected_language, normalized):
    shift = LanguageShift.of(value)
    equal = LanguageShift.of(value)
    other = ValueToken.of(r"%bar")

    assert shift.value == value
    assert shift.clean_value == value
    assert shift.get_key() == f"LanguageShift⁝{value}"
    assert shift.lemmatizable is False
    assert shift.normalized == normalized
    assert shift.language == expected_language

    serialized = {
        "type": "LanguageShift",
        "normalized": normalized,
        "language": shift.language.name,
    }
    assert_token_serialization(shift, serialized)

    assert shift == equal
    assert hash(shift) == hash(equal)

    assert shift != other
    assert hash(shift) != hash(other)

    assert shift != ValueToken.of(value)
def test_parse_normalized_akkadain_shift() -> None:
    word = "ha"
    line = f"1. {word} %n {word} %sux {word}"

    expected = Text((TextLine.of_iterable(
        LineNumber(1),
        (
            Word.of((Reading.of_name(word), ), DEFAULT_LANGUAGE),
            LanguageShift.normalized_akkadian(),
            AkkadianWord.of((ValueToken.of(word), )),
            LanguageShift.of("%sux"),
            Word.of((Reading.of_name(word), ), Language.SUMERIAN),
        ),
    ), ))

    assert parse_atf_lark(line).lines == expected.lines
def test_text_line_of_iterable(code: str, language: Language) -> None:
    tokens = [
        Word.of([Reading.of_name("first")]),
        LanguageShift.of(code),
        Word.of([Reading.of_name("second")]),
        LanguageShift.of("%sb"),
        LoneDeterminative.of([Determinative.of([Reading.of_name("third")])]),
        Word.of([BrokenAway.open(),
                 Reading.of_name("fourth")]),
        UnknownNumberOfSigns.of(),
        BrokenAway.close(),
    ]
    expected_tokens = (
        Word.of([Reading.of_name("first")], DEFAULT_LANGUAGE),
        LanguageShift.of(code),
        Word.of([Reading.of_name("second")], language),
        LanguageShift.of("%sb"),
        LoneDeterminative.of([Determinative.of([Reading.of_name("third")])],
                             Language.AKKADIAN),
        Word.of(
            [
                BrokenAway.open(),
                Reading.of((ValueToken(
                    frozenset({EnclosureType.BROKEN_AWAY}),
                    ErasureState.NONE,
                    "fourth",
                ), )).set_enclosure_type(frozenset({EnclosureType.BROKEN_AWAY
                                                    })),
            ],
            DEFAULT_LANGUAGE,
        ),
        UnknownNumberOfSigns(frozenset({EnclosureType.BROKEN_AWAY}),
                             ErasureState.NONE),
        BrokenAway.close().set_enclosure_type(
            frozenset({EnclosureType.BROKEN_AWAY})),
    )
    line = TextLine.of_iterable(LINE_NUMBER, tokens)

    assert line.line_number == LINE_NUMBER
    assert line.content == expected_tokens
    assert (
        line.key ==
        f"TextLine⁞{line.atf}⟨{'⁚'.join(token.get_key() for token in expected_tokens)}⟩"
    )
    assert line.atf == f"1. first {code} second %sb {{third}} [fourth ...]"
def test_text_line_of_iterable_normalized() -> None:
    tokens = [
        LanguageShift.normalized_akkadian(),
        AkkadianWord.of((ValueToken.of("kur"), )),
    ]
    expected_tokens = (
        LanguageShift.normalized_akkadian(),
        AkkadianWord.of((ValueToken.of("kur"), )),
    )
    line = TextLine.of_iterable(LINE_NUMBER, tokens)

    assert line.content == expected_tokens
    assert (
        line.key ==
        f"TextLine⁞{line.atf}⟨{'⁚'.join(token.get_key() for token in expected_tokens)}⟩"
    )

    assert line.atf == "1. %n kur"
def test_parse_atf_language_shifts(code: str,
                                   expected_language: Language) -> None:
    word = "ha-am"
    parts = [Reading.of_name("ha"), Joiner.hyphen(), Reading.of_name("am")]
    line = f"1. {word} {code} {word} %sb {word}"

    expected = Text((TextLine.of_iterable(
        LineNumber(1),
        (
            Word.of(parts, DEFAULT_LANGUAGE),
            LanguageShift.of(code),
            Word.of(parts, expected_language),
            LanguageShift.of("%sb"),
            Word.of(parts, Language.AKKADIAN),
        ),
    ), ))

    assert parse_atf_lark(line).lines == expected.lines
Ejemplo n.º 6
0
def expected_transliteration(language: Language) -> Sequence[Token]:
    return (
        Word.of([Reading.of_name("bu")], language),
        LanguageShift.of("%es"),
        Word.of(
            [
                BrokenAway.open(),
                Reading.of((ValueToken(
                    frozenset({EnclosureType.BROKEN_AWAY}),
                    ErasureState.NONE,
                    "kur",
                ), )).set_enclosure_type(frozenset({EnclosureType.BROKEN_AWAY
                                                    })),
            ],
            Language.EMESAL,
        ),
        UnknownNumberOfSigns(frozenset({EnclosureType.BROKEN_AWAY}),
                             ErasureState.NONE),
        BrokenAway.close().set_enclosure_type(
            frozenset({EnclosureType.BROKEN_AWAY})),
    )
class LineVariantFactory(factory.Factory):
    class Meta:
        model = LineVariant

    class Params:
        manuscript_id = factory.Sequence(lambda n: n)
        manuscript = factory.SubFactory(
            ManuscriptLineFactory,
            manuscript_id=factory.SelfAttribute("..manuscript_id"),
        )

    reconstruction = (
        LanguageShift.normalized_akkadian(),
        AkkadianWord.of((ValueToken.of("buāru"),)),
        MetricalFootSeparator.uncertain(),
        BrokenAway.open(),
        UnknownNumberOfSigns.of(),
        Caesura.certain(),
        AkkadianWord.of(
            (
                UnknownNumberOfSigns.of(),
                BrokenAway.close(),
                Joiner.hyphen(),
                ValueToken.of("buāru"),
            ),
            (Flag.DAMAGE,),
        ),
    )
    note = factory.fuzzy.FuzzyChoice([None, NoteLine((StringPart("a note"),))])
    manuscripts = factory.List([factory.SelfAttribute("..manuscript")], TupleFactory)
    intertext = factory.fuzzy.FuzzyChoice([tuple(), (StringPart("bar"),)])
    parallel_lines = factory.List(
        [
            factory.SubFactory(ParallelCompositionFactory),
            factory.SubFactory(ParallelTextFactory),
            factory.SubFactory(ParallelFragmentFactory),
        ],
        TupleFactory,
    )
         LineNumber(1),
         [
             Word.of(unique_lemma=(WordId("nu I"), ),
                     parts=[Reading.of_name("bu")])
         ],
     ),
 ),
 (
     TextLine.of_iterable(
         LineNumber(1),
         [
             Word.of(unique_lemma=(WordId("nu I"), ),
                     parts=[Reading.of_name("bu")])
         ],
     ),
     TextLine.of_iterable(LineNumber(1), [LanguageShift.of("%sux")]),
     TextLine.of_iterable(LineNumber(1), [LanguageShift.of("%sux")]),
 ),
 (
     TextLine.of_iterable(
         LineNumber(1),
         [
             Word.of(unique_lemma=(WordId("nu I"), ),
                     parts=[Reading.of_name("bu")])
         ],
     ),
     TextLine.of_iterable(LineNumber(1),
                          [Word.of([Reading.of_name("mu")])]),
     TextLine.of_iterable(LineNumber(1),
                          [Word.of([Reading.of_name("mu")])]),
 ),
class LemmatizedFragmentFactory(TransliteratedFragmentFactory):
    text = Text((
        TextLine.of_iterable(
            LineNumber(1, True),
            (
                Word.of([UnidentifiedSign.of()]),
                Word.of([
                    Logogram.of_name(
                        "BA",
                        surrogate=[
                            Reading.of_name("ku"),
                            Joiner.hyphen(),
                            Reading.of_name("u", 4),
                        ],
                    )
                ]),
                Column.of(),
                Tabulation.of(),
                Word.of([
                    BrokenAway.open(),
                    UnknownNumberOfSigns.of(),
                    Joiner.hyphen(),
                    Reading.of_name("ku"),
                    BrokenAway.close(),
                    Joiner.hyphen(),
                    Reading.of_name("nu"),
                    Joiner.hyphen(),
                    Reading.of_name("ši"),
                ]),
                Variant.of(Divider.of(":"), Reading.of_name("ku")),
                Word.of([
                    BrokenAway.open(),
                    UnknownNumberOfSigns.of(),
                    BrokenAway.close(),
                ]),
                Column.of(2),
                Divider.of(":", ("@v", ), (Flag.DAMAGE, )),
                CommentaryProtocol.of("!qt"),
                Word.of([Number.of_name("10", flags=[Flag.DAMAGE])]),
            ),
        ),
        TextLine.of_iterable(
            LineNumber(2, True),
            (
                Word.of([BrokenAway.open(),
                         UnknownNumberOfSigns.of()]),
                Word.of([Logogram.of_name("GI", 6)],
                        unique_lemma=(WordId("ginâ I"), )),
                Word.of([Reading.of_name("ana")],
                        unique_lemma=(WordId("ana I"), )),
                Word.of(
                    [
                        Reading.of_name("u₄"),
                        Joiner.hyphen(),
                        Reading.of_name("š[u"),
                    ],
                    unique_lemma=(WordId("ūsu I"), ),
                ),
                Word.of([UnknownNumberOfSigns.of(),
                         BrokenAway.close()]),
            ),
        ),
        TextLine.of_iterable(
            LineNumber(3, True),
            (
                Word.of([BrokenAway.open(),
                         UnknownNumberOfSigns.of()]),
                Word.of(
                    unique_lemma=(WordId("kīdu I"), ),
                    parts=[
                        Reading.of((
                            ValueToken.of("k"),
                            BrokenAway.close(),
                            ValueToken.of("i"),
                        )),
                        Joiner.hyphen(),
                        Reading.of_name("du"),
                    ],
                ),
                Word.of(unique_lemma=(WordId("u I"), ),
                        parts=[Reading.of_name("u")]),
                Word.of(
                    unique_lemma=(WordId("bamātu I"), ),
                    parts=[
                        Reading.of_name("ba"),
                        Joiner.hyphen(),
                        Reading.of_name("ma"),
                        Joiner.hyphen(),
                        Reading.of((
                            ValueToken.of("t"),
                            BrokenAway.open(),
                            ValueToken.of("i"),
                        )),
                    ],
                ),
                Word.of([UnknownNumberOfSigns.of(),
                         BrokenAway.close()]),
            ),
        ),
        TextLine.of_iterable(
            LineNumber(6, True),
            (
                Word.of([
                    BrokenAway.open(),
                    UnknownNumberOfSigns.of(),
                    BrokenAway.close(),
                ]),
                Word.of([UnclearSign.of([Flag.DAMAGE])]),
                Word.of(unique_lemma=(WordId("mu I"), ),
                        parts=[Reading.of_name("mu")]),
                Word.of(
                    unique_lemma=(WordId("tamalāku I"), ),
                    parts=[
                        Reading.of_name("ta"),
                        Joiner.hyphen(),
                        Reading.of_name("ma"),
                        InWordNewline.of(),
                        Joiner.hyphen(),
                        Reading.of_name("tu", 2),
                    ],
                ),
            ),
        ),
        TextLine.of_iterable(
            LineNumber(7, True),
            (
                Word.of([
                    Variant.of(Reading.of_name("šu"),
                               CompoundGrapheme.of(["BI×IS"]))
                ]),
                LanguageShift.normalized_akkadian(),
                AkkadianWord.of([ValueToken.of("kur")],
                                unique_lemma=(WordId("normalized I"), )),
            ),
        ),
        StateDollarLine(
            atf.Qualification.AT_LEAST,
            1,
            ScopeContainer(atf.Surface.OBVERSE, ""),
            atf.State.MISSING,
            None,
        ),
        ImageDollarLine("1", None, "numbered diagram of triangle"),
        RulingDollarLine(atf.Ruling.SINGLE),
        LooseDollarLine("this is a loose line"),
        SealDollarLine(1),
        SealAtLine(1),
        HeadingAtLine(1),
        ColumnAtLine(ColumnLabel([atf.Status.COLLATION], 1)),
        SurfaceAtLine(
            SurfaceLabel([atf.Status.COLLATION], atf.Surface.SURFACE,
                         "stone wig")),
        ObjectAtLine(
            ObjectLabel([atf.Status.COLLATION], atf.Object.OBJECT,
                        "stone wig")),
        DiscourseAtLine(atf.Discourse.DATE),
        DivisionAtLine("paragraph", 5),
        CompositeAtLine(atf.Composite.DIV, "part", 1),
        NoteLine((
            StringPart("a note "),
            EmphasisPart("italic"),
            LanguagePart.of_transliteration(
                Language.AKKADIAN, (Word.of([Reading.of_name("bu")]), )),
        )),
        ParallelComposition(False, "my name", LineNumber(1)),
        ParallelText(
            True,
            TextId(CorpusGenre.LITERATURE, 1, 1),
            ChapterName(Stage.OLD_BABYLONIAN, "", "my name"),
            LineNumber(1),
            False,
        ),
        ParallelFragment(False, MuseumNumber.of("K.1"), True, Labels(),
                         LineNumber(1), False),
    ))
class TransliteratedFragmentFactory(FragmentFactory):
    text = Text((
        TextLine.of_iterable(
            LineNumber(1, True),
            (
                Word.of([UnidentifiedSign.of()]),
                Word.of([
                    Logogram.of_name(
                        "BA",
                        surrogate=[
                            Reading.of_name("ku"),
                            Joiner.hyphen(),
                            Reading.of_name("u", 4),
                        ],
                    )
                ]),
                Column.of(),
                Tabulation.of(),
                Word.of([
                    BrokenAway.open(),
                    UnknownNumberOfSigns.of(),
                    Joiner.hyphen(),
                    Reading.of_name("ku"),
                    BrokenAway.close(),
                    Joiner.hyphen(),
                    Reading.of_name("nu"),
                    Joiner.hyphen(),
                    Reading.of_name("ši"),
                ]),
                Variant.of(Divider.of(":"), Reading.of_name("ku")),
                Word.of([
                    BrokenAway.open(),
                    UnknownNumberOfSigns.of(),
                    BrokenAway.close(),
                ]),
                Column.of(2),
                Divider.of(":", ("@v", ), (Flag.DAMAGE, )),
                CommentaryProtocol.of("!qt"),
                Word.of([Number.of_name("10", flags=[Flag.DAMAGE])]),
            ),
        ),
        TextLine.of_iterable(
            LineNumber(2, True),
            (
                Word.of([
                    BrokenAway.open(),
                    UnknownNumberOfSigns.of(),
                    BrokenAway.close(),
                ]),
                Word.of([Logogram.of_name("GI", 6)]),
                Word.of([Reading.of_name("ana")]),
                Word.of([
                    Reading.of_name("u", 4),
                    Joiner.hyphen(),
                    Reading.of((
                        ValueToken.of("š"),
                        BrokenAway.open(),
                        ValueToken.of("u"),
                    )),
                ]),
                Word.of([UnknownNumberOfSigns.of(),
                         BrokenAway.close()]),
            ),
        ),
        TextLine.of_iterable(
            LineNumber(3, True),
            (
                Word.of([BrokenAway.open(),
                         UnknownNumberOfSigns.of()]),
                Word.of([
                    Reading.of((
                        ValueToken.of("k"),
                        BrokenAway.close(),
                        ValueToken.of("i"),
                    )),
                    Joiner.hyphen(),
                    Reading.of_name("du"),
                ]),
                Word.of([Reading.of_name("u")]),
                Word.of([
                    Reading.of_name("ba"),
                    Joiner.hyphen(),
                    Reading.of_name("ma"),
                    Joiner.hyphen(),
                    Reading.of((
                        ValueToken.of("t"),
                        BrokenAway.open(),
                        ValueToken.of("i"),
                    )),
                ]),
                Word.of([UnknownNumberOfSigns.of(),
                         BrokenAway.close()]),
            ),
        ),
        TextLine.of_iterable(
            LineNumber(6, True),
            (
                Word.of([
                    BrokenAway.open(),
                    UnknownNumberOfSigns.of(),
                    BrokenAway.close(),
                ]),
                Word.of([UnclearSign.of([Flag.DAMAGE])]),
                Word.of([Reading.of_name("mu")]),
                Word.of([
                    Reading.of_name("ta"),
                    Joiner.hyphen(),
                    Reading.of_name("ma"),
                    InWordNewline.of(),
                    Joiner.hyphen(),
                    Reading.of_name("tu", 2),
                ]),
            ),
        ),
        TextLine.of_iterable(
            LineNumber(7, True),
            (
                Word.of([
                    Variant.of(Reading.of_name("šu"),
                               CompoundGrapheme.of(["BI×IS"]))
                ]),
                LanguageShift.normalized_akkadian(),
                AkkadianWord.of([ValueToken.of("kur")]),
            ),
        ),
        StateDollarLine(
            atf.Qualification.AT_LEAST,
            1,
            ScopeContainer(atf.Surface.OBVERSE, ""),
            atf.State.MISSING,
            None,
        ),
        ImageDollarLine("1", None, "numbered diagram of triangle"),
        RulingDollarLine(atf.Ruling.SINGLE),
        LooseDollarLine("this is a loose line"),
        SealDollarLine(1),
        SealAtLine(1),
        HeadingAtLine(1),
        ColumnAtLine(ColumnLabel([atf.Status.COLLATION], 1)),
        SurfaceAtLine(
            SurfaceLabel([atf.Status.COLLATION], atf.Surface.SURFACE,
                         "stone wig")),
        ObjectAtLine(
            ObjectLabel([atf.Status.COLLATION], atf.Object.OBJECT,
                        "stone wig")),
        DiscourseAtLine(atf.Discourse.DATE),
        DivisionAtLine("paragraph", 5),
        CompositeAtLine(atf.Composite.DIV, "part", 1),
        NoteLine((
            StringPart("a note "),
            EmphasisPart("italic"),
            LanguagePart.of_transliteration(
                Language.AKKADIAN, (Word.of([Reading.of_name("bu")]), )),
        )),
        ParallelComposition(False, "my name", LineNumber(1)),
        ParallelText(
            True,
            TextId(CorpusGenre.LITERATURE, 1, 1),
            ChapterName(Stage.OLD_BABYLONIAN, "", "my name"),
            LineNumber(1),
            False,
        ),
        ParallelFragment(False, MuseumNumber.of("K.1"), True, Labels(),
                         LineNumber(1), False),
    ))
    signs = (
        "X BA KU ABZ075 ABZ207a\\u002F207b\\u0020X ABZ377n1/KU ABZ377n1 ABZ411\n"
        "MI DIŠ UD ŠU\n"
        "KI DU ABZ411 BA MA TI\n"
        "X MU TA MA UD\n"
        "ŠU/|BI×IS|")
    folios = Folios((Folio("WGL", "3"), Folio("XXX", "3")))
    record = Record((RecordEntry("test", RecordType.TRANSLITERATION), ))
    line_to_vec = ((
        LineToVecEncoding.TEXT_LINE,
        LineToVecEncoding.TEXT_LINE,
        LineToVecEncoding.TEXT_LINE,
        LineToVecEncoding.TEXT_LINE,
        LineToVecEncoding.TEXT_LINE,
        LineToVecEncoding.SINGLE_RULING,
    ), )
 def ebl_atf_text_line__greek_shift(self, value):
     return LanguageShift.of(str(value))
 def ebl_atf_text_line__normalized_akkadian_shift(self, value):
     return LanguageShift.of(str(value))
def test_reconstructed_line(text, expected) -> None:
    assert parse_reconstructed_line(f"%n {text}") == (
        LanguageShift.normalized_akkadian(),
        *expected,
    )
from ebl.transliteration.domain.sign_tokens import Divider, Reading
from ebl.transliteration.domain.tokens import (
    Column,
    CommentaryProtocol,
    ErasureState,
    Joiner,
    LanguageShift,
    Tabulation,
    UnknownNumberOfSigns,
    ValueToken,
    Variant,
)

TOKENS = [
    UnknownNumberOfSigns(frozenset({EnclosureType.BROKEN_AWAY}), ErasureState.NONE),
    LanguageShift.of("%sux"),
    DocumentOrientedGloss.open(),
]


def test_value_token():
    value = "value"
    token = ValueToken.of(value)
    equal = ValueToken.of(value)
    other = ValueToken.of("anothervalue")

    assert token.value == value
    assert token.clean_value == value
    assert token.get_key() == f"ValueToken⁝{value}"
    assert token.lemmatizable is False
Ejemplo n.º 15
0
from ebl.transliteration.domain.markup import EmphasisPart, LanguagePart, StringPart
from ebl.transliteration.domain.note_line import NoteLine
from ebl.transliteration.domain.sign_tokens import Reading
from ebl.transliteration.domain.tokens import (
    EnclosureType,
    ErasureState,
    LanguageShift,
    Token,
    UnknownNumberOfSigns,
    ValueToken,
)
from ebl.transliteration.domain.word_tokens import Word

TRANSLITERATION: Sequence[Token] = (
    Word.of([Reading.of_name("bu")]),
    LanguageShift.of("%es"),
    Word.of([BrokenAway.open(), Reading.of_name("kur")]),
    UnknownNumberOfSigns.of(),
    BrokenAway.close(),
)
EXPECTED_ATF = "bu %es [kur ...]"


def expected_transliteration(language: Language) -> Sequence[Token]:
    return (
        Word.of([Reading.of_name("bu")], language),
        LanguageShift.of("%es"),
        Word.of(
            [
                BrokenAway.open(),
                Reading.of((ValueToken(
                 frozenset({EnclosureType.BROKEN_AWAY})),
             UnclearSign.of().set_enclosure_type(
                 frozenset({EnclosureType.BROKEN_AWAY})),
         )),
         Word.of((
             UnknownNumberOfSigns.of().set_enclosure_type(
                 frozenset({EnclosureType.BROKEN_AWAY})),
             BrokenAway.close().set_enclosure_type(
                 frozenset({EnclosureType.BROKEN_AWAY})),
         )).set_enclosure_type(frozenset({EnclosureType.BROKEN_AWAY})),
     ),
 )),
 (
     "%n [...]",
     (
         LanguageShift.normalized_akkadian(),
         BrokenAway.open(),
         UnknownNumberOfSigns(frozenset({EnclosureType.BROKEN_AWAY}),
                              ErasureState.NONE),
         BrokenAway.close().set_enclosure_type(
             frozenset({EnclosureType.BROKEN_AWAY})),
     ),
 ),
 (
     "%n (...)",
     (
         LanguageShift.normalized_akkadian(),
         PerhapsBrokenAway.open(),
         UnknownNumberOfSigns(frozenset({EnclosureType.PERHAPS}),
                              ErasureState.NONE),
         PerhapsBrokenAway.close().set_enclosure_type(
                     Joiner.hyphen(),
                     UnknownNumberOfSigns.of(),
                     Joiner.hyphen(),
                     Reading.of_name("ad"),
                 )),
             ),
         )
     ],
 ),
 (
     "1. %grc ΑαΒβΓγΔδΕεΖζΗηΘθΙιΚκΛλΜμΝνΞξΟοΠπΡρΣσςΤτΥυΦφΧχΨψΩω",
     [
         TextLine.of_iterable(
             LineNumber(1),
             (
                 LanguageShift.of("%grc"),
                 GreekWord.of([
                     GreekLetter.of(letter)
                     for letter in ("ΑαΒβΓγΔδΕεΖζΗηΘθΙιΚκΛλΜμ"
                                    "ΝνΞξΟοΠπΡρΣσςΤτΥυΦφΧχΨψΩω")
                 ]),
             ),
         )
     ],
 ),
 (
     "1. %akkgrc α",
     [
         TextLine.of_iterable(
             LineNumber(1),
             (
Ejemplo n.º 18
0
 def make_token(self, data, **kwargs):
     return LanguageShift(
         frozenset(data["enclosure_type"]), data["erasure"], data["value"]
     )
def test_merging_lines(corpus, text_repository, bibliography, changelog, signs,
                       sign_repository, user, when) -> None:
    reconstruction = (
        LanguageShift.normalized_akkadian(),
        AkkadianWord.of((ValueToken.of("buāru"), )),
    )
    is_second_line_of_parallelism = False
    is_beginning_of_section = False
    text_line = TextLine.of_iterable(
        LineNumber(1),
        (
            Word.of([Reading.of_name("ku")],
                    unique_lemma=(WordId("word1"), ),
                    alignment=0),
            Word.of([Reading.of_name("nu")],
                    unique_lemma=(WordId("word2"), ),
                    alignment=1),
        ),
    )
    manuscript_id = CHAPTER_WITHOUT_DOCUMENTS.manuscripts[0].id
    line = Line(
        LineNumber(1),
        (LineVariant(
            reconstruction,
            None,
            (ManuscriptLine(manuscript_id, tuple(), text_line), ),
        ), ),
        not is_second_line_of_parallelism,
        not is_beginning_of_section,
    )
    new_text_line = TextLine.of_iterable(
        LineNumber(1),
        (Word.of([Reading.of_name("ku")]), Word.of([Reading.of_name("ba")])),
    )
    new_line = Line(
        LineNumber(1),
        (LineVariant(
            reconstruction,
            None,
            (ManuscriptLine(manuscript_id, tuple(),
                            text_line.merge(new_text_line)), ),
        ), ),
        is_second_line_of_parallelism,
        is_beginning_of_section,
    )
    old_chapter = attr.evolve(CHAPTER_WITHOUT_DOCUMENTS, lines=(line, ))
    updated_chapter = attr.evolve(
        CHAPTER,
        lines=(new_line, ),
        signs=("KU BA\nKU\nABZ075", ),
        parser_version=ATF_PARSER_VERSION,
    )
    expect_find_and_update_chapter(
        bibliography,
        changelog,
        old_chapter,
        updated_chapter,
        signs,
        sign_repository,
        text_repository,
        user,
        when,
    )

    assert (corpus.update_lines(
        CHAPTER.id_,
        LinesUpdate(
            [],
            set(),
            {
                0:
                Line(
                    LineNumber(1),
                    (LineVariant(
                        reconstruction,
                        None,
                        (ManuscriptLine(manuscript_id, tuple(),
                                        new_text_line), ),
                    ), ),
                    is_second_line_of_parallelism,
                    is_beginning_of_section,
                )
            },
        ),
        user,
    ) == updated_chapter)