origin = get_origin(annotation)
    if origin is Union or origin is UnionType:
        return any(field_annotation_is_complex(arg) for arg in get_args(annotation))

    if origin is Annotated:
        return field_annotation_is_complex(get_args(annotation)[0])

    return (
        _annotation_is_complex(annotation)
        or _annotation_is_complex(origin)
        or hasattr(origin, "__pydantic_core_schema__")

from pydantic_core import CoreSchema as CoreSchema
from pydantic_core import PydanticUndefined, PydanticUndefinedType
from pydantic_core import Url as Url
from typing_extensions import Literal, get_args, get_origin

try:
    from pydantic_core.core_schema import (
        with_info_plain_validator_function as with_info_plain_validator_function,
    )
except ImportError:  # pragma: no cover

    QueryParams,
    UploadFile,
)
from starlette.requests import HTTPConnection, Request
from starlette.responses import Response
from starlette.websockets import WebSocket
from typing_extensions import Literal, get_args, get_origin

multipart_not_installed_error = (
    'Form data requires "python-multipart" to be installed. \n'
    'You can install "python-multipart" with: \n\n'
    "pip install python-multipart\n"
)

        assertEquals(elevateWord3.getReadings().get(0), settings.elevateWord().get()[2].getReadings().get(0));
        assertEquals(elevateWord3.getTags().get(0), settings.elevateWord().get()[2].getTags().get(0));
        assertEquals(elevateWord3.getRoles().get(0), settings.elevateWord().get()[2].getRoles().get(0));
    }

    @Test
    public void test_delete() {

                createDefaultReadingConverter(), createDefaultNormalizer());
        SuggestItem item = items.get(0);
        assertEquals("検索エンジン", item.getText());
        assertEquals("tag1", item.getTags()[0]);
        assertEquals("role1", item.getRoles()[0]);
    }

    protected ReadingConverter createDefaultReadingConverter() throws IOException {
        ReadingConverterChain chain = new ReadingConverterChain();

"""

app = typer.Typer()


@lru_cache
def get_langs() -> dict[str, str]:
    return yaml.safe_load(Path("docs/language_names.yml").read_text(encoding="utf-8"))


def generate_lang_path(*, lang: str, path: Path) -> Path:
    en_docs_path = Path("docs/en/docs")

                    buf.append(",\"labels\":[");
                    for (int i = 0; i < item.getTags().length; i++) {
                        if (i > 0) {
                            buf.append(',');
                        }
                        buf.append('\"').append(StringEscapeUtils.escapeJson(item.getTags()[i])).append('\"');
                    }
                    buf.append(']');

        source.put(ELEVATE_WORD_READING, elevateWord.getReadings());
        source.put(ELEVATE_WORD_FIELDS, elevateWord.getFields());
        source.put(ELEVATE_WORD_TAGS, elevateWord.getTags());
        source.put(ELEVATE_WORD_ROLES, elevateWord.getRoles());
        source.put(FieldNames.TIMESTAMP, DateTimeFormatter.ISO_INSTANT.format(ZonedDateTime.now()));

        secondLine.put("userBoost", item.getUserBoost());
        secondLine.put("score", (item.getQueryFreq() + item.getDocFreq()) * item.getUserBoost());
        secondLine.put("tags", item.getTags());
        secondLine.put("roles", item.getRoles());
        secondLine.put("kinds", Arrays.toString(item.getKinds()));
        secondLine.put("@timestamp", item.getTimestamp());

        final ElevateWord normalized = new ElevateWord(normalizedWord, elevateWord.getBoost(), normalizedReadings, elevateWord.getFields(),
                elevateWord.getTags(), elevateWord.getRoles());
        settings.elevateWord().add(normalized);
        if (apply) {
            return index(normalized.toSuggestItem());
        }
        return new SuggestIndexResponse(0, 0, null, 0);