public ColumnInfo columnValue() {
        return _columnValue;
    }

    public ColumnInfo columnWebConfigId() {
        return _columnWebConfigId;
    }

    protected List<ColumnInfo> ccil() {
        List<ColumnInfo> ls = newArrayList();
        ls.add(columnCreatedBy());
        ls.add(columnCreatedTime());
        ls.add(columnName());
        ls.add(columnUpdatedBy());

from typing import Annotated, Union

from fastapi import FastAPI, Query

app = FastAPI()


@app.get("/items/")
async def read_items(q: Annotated[Union[list[str], None], Query()] = None):
    query_items = {"q": q}

///

`response_model` recibe el mismo tipo que declararías para un campo de modelo Pydantic, por lo que puede ser un modelo de Pydantic, pero también puede ser, por ejemplo, un `list` de modelos de Pydantic, como `List[Item]`.

FastAPI usará este `response_model` para hacer toda la documentación de datos, validación, etc. y también para **convertir y filtrar los datos de salida** a su declaración de tipo.

/// tip | Consejo

 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */
package jcifs.pac.kerberos;

import java.security.Key;
import java.util.ArrayList;
import java.util.List;
import java.util.Set;

import javax.security.auth.Subject;
import javax.security.auth.kerberos.KerberosKey;
import javax.security.auth.login.LoginContext;
import javax.security.auth.login.LoginException;

/**

                                </la:info>
                                <la:errors/>
                            </div>
                            <%-- List --%>
                            <c:if test="${userPager.allRecordCount == 0}">
                                <div class="row top10">
                                    <div class="col-sm-12">

SessionDep = Annotated[Session, Depends(dep_session)]
BrokenSessionDep = Annotated[Session, Depends(broken_dep_session)]

app = FastAPI()


@app.get("/data")
def get_data(session: SessionDep) -> Any:
    data = list(session)
    return data


@app.get("/stream-simple")
def get_stream_simple(session: SessionDep) -> Any:
    def iter_data():
        yield from ["x", "y", "z"]

    return StreamingResponse(iter_data())

    id: String,
    name: String,
    description: String,
    val testCoverage: TestCoverage,
    stage: Stage,
    parallelizationMethod: ParallelizationMethod = ParallelizationMethod.None,
    subprojects: List<String> = listOf(),
    extraParameters: String = "",
    extraBuildSteps: BuildSteps.() -> Unit = {},
    preBuildSteps: BuildSteps.() -> Unit = {},
) : OsAwareBaseGradleBuildType(os = testCoverage.os, stage = stage, init = {

    public Set<Object> keySet() {
        return getProperties().keySet();
    }

    @Override
    public void list(final PrintStream out) {
        getProperties().list(out);
    }

    @Override
    public void list(final PrintWriter out) {
        getProperties().list(out);
    }

    @Override
    public synchronized void load(final InputStream inStream) throws IOException {

    private static final Logger logger = LogManager.getLogger(StemmerOverrideFile.class);

    private static final String STEMMER_OVERRIDE = "stemmeroverride";

    /** The list of stemmer override items loaded from the dictionary file. */
    List<StemmerOverrideItem> stemmerOverrideItemList;

    /**
     * Constructs a new stemmer override file.
     *
     * @param id        The unique identifier for this dictionary file.

    }

    public ColumnInfo columnThreadName() {
        return _columnThreadName;
    }

    public ColumnInfo columnUrl() {
        return _columnUrl;
    }

    protected List<ColumnInfo> ccil() {
        List<ColumnInfo> ls = newArrayList();
        ls.add(columnConfigId());
        ls.add(columnErrorCount());
        ls.add(columnErrorLog());
        ls.add(columnErrorName());