import common.gradleWrapper
import common.killProcessStep
import common.setArtifactRules
import common.skipConditionally
import jetbrains.buildServer.configs.kotlin.BuildSteps
import model.CIBuildModel
import model.Stage

class TestPerformanceTest(
    model: CIBuildModel,
    stage: Stage,
) : OsAwareBaseGradleBuildType(os = Os.LINUX, stage, init = {
        val os = os
        val buildTypeThis = this

 * under the License.
 */
package org.apache.maven.model.profile;

import java.util.Collections;
import java.util.List;

import org.apache.maven.model.Activation;
import org.apache.maven.model.Profile;
import org.apache.maven.model.building.ModelProblemCollector;
import org.apache.maven.model.building.SimpleProblemCollector;
import org.apache.maven.model.profile.activation.ProfileActivator;
import org.junit.jupiter.api.Test;

{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[1:24] hl[24] *}

Wenn jedes JSON-Item, das Sie zurücksenden möchten, vom Typ `Item` ist (ein Pydantic-Modell) und es sich um eine async-Funktion handelt, können Sie den Rückgabetyp als `AsyncIterable[Item]` deklarieren:

{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[1:24] hl[9:11,22] *}

实际上，HTTP `PUT` 也可以使用同样的技巧。

但这里用 `PATCH` 举例，因为它就是为这种用例设计的。

///

/// note | 注意

注意，输入模型仍会被验证。

因此，如果希望接收的部分更新可以省略所有属性，则需要一个所有属性都标记为可选（带默认值或 `None`）的模型。

为了区分用于**更新**（全部可选）和用于**创建**（必填）的模型，可以参考[更多模型](extra-models.md) 中介绍的思路。

     * @param model the --model option value (null for absent)
     * @param plugins the --plugins option value (null for absent)
     * @param modelVersion the --model-version option value (null for absent)
     * @return configured upgrade options
     */
    public static UpgradeOptions createOptions(
            Boolean all, Boolean infer, Boolean model, Boolean plugins, String modelVersion) {

     */
    @Nonnull
    Optional<Boolean> plugins();

    /**
     * Should apply all upgrade options (equivalent to --model-version 4.1.0 --infer --model --plugins).
     * This is a convenience option that combines model upgrade, inference, compatibility fixes, and plugin upgrades.
     *
     * @return an {@link Optional} containing the boolean value {@code true} if specified, or empty
     */

import org.apache.maven.api.VersionConstraint;
import org.apache.maven.api.annotations.Nonnull;
import org.apache.maven.api.annotations.Nullable;
import org.apache.maven.api.model.DependencyManagement;
import org.apache.maven.api.model.Model;
import org.apache.maven.api.model.Profile;
import org.apache.maven.impl.MappedCollection;
import org.apache.maven.impl.MappedList;
import org.apache.maven.project.MavenProject;

 * under the License.
 */
package org.apache.maven.model.profile.activation;

import javax.inject.Named;
import javax.inject.Singleton;

import java.util.Locale;

import org.apache.maven.model.Activation;
import org.apache.maven.model.ActivationOS;
import org.apache.maven.model.Profile;
import org.apache.maven.model.building.ModelProblemCollector;
import org.apache.maven.model.profile.ProfileActivationContext;

    app = FastAPI()
    model = ModelWithDatetimeField(dt_field=datetime(2019, 1, 1, 8))

    @app.get("/model", response_model=ModelWithDatetimeField)
    def get_model():
        return model

    client = TestClient(app)
    with client:
        response = client.get("/model")

Stellen wir uns vor, dass das Laden des Modells **eine ganze Weile dauern** kann, da viele **Daten von der Festplatte** gelesen werden müssen. Sie möchten das also nicht für jeden Request tun.