return {"p": p}


class HeaderModelOptionalStr(BaseModel):
    p: Optional[str] = None


@app.get("/model-optional-str")
async def read_model_optional_str(p: Annotated[HeaderModelOptionalStr, Header()]):
    return {"p": p.p}


@pytest.mark.parametrize(
    "path",
    ["/optional-str", "/model-optional-str"],
)
def test_optional_str_schema(path: str):
    assert app.openapi()["paths"][path]["get"]["parameters"] == [

TensorFlow
[**models**](https://developers.google.com/machine-learning/glossary/#model) (to
use a term commonly used by machine learning practitioners) are expressed as
programs that TensorFlow executes. TensorFlow programs are encoded as
computation
[**graphs**](https://developers.google.com/machine-learning/glossary/#graph).
Since models are practically programs that TensorFlow executes, using untrusted

   []

   ** raw model validation: <<<ModelValidator>>> ({{{./apidocs/org/apache/maven/model/validation/ModelValidator.html}javadoc}}),
   with its <<<DefaultModelValidator>>> implementation
   ({{{./xref/org/apache/maven/model/validation/DefaultModelValidator.html}source}})

   ** model normalization - merge duplicates: <<<ModelNormalizer>>> ({{{./apidocs/org/apache/maven/model/normalization/ModelNormalizer.html}javadoc}}),

package configurations

import common.Os
import common.buildScanTagParam
import common.getBuildScanCustomValueParam
import model.CIBuildModel
import model.Stage

class SanityCheck(
    model: CIBuildModel,
    stage: Stage,
) : OsAwareBaseGradleBuildType(os = Os.LINUX, stage = stage, init = {
        id(buildTypeId(model))
        name = "Sanity Check"
        description = "Static code analysis, checkstyle, release notes verification, etc."

    return {"p": p}


class HeaderModelRequiredStr(BaseModel):
    p: str


@app.get("/model-required-str")
async def read_model_required_str(p: Annotated[HeaderModelRequiredStr, Header()]):
    return {"p": p.p}


@pytest.mark.parametrize(
    "path",
    ["/required-str", "/model-required-str"],
)
def test_required_str_schema(path: str):
    assert app.openapi()["paths"][path]["get"]["parameters"] == [

    @Test
    void testModelSerialization() throws Exception {
        Model model;
        try (InputStream is = getClass().getResourceAsStream("/xml/pom.xml")) {
            model = new MavenXpp3Reader().read(is);
        }

        // Serialize an inner child here so that the BaseObject.childrenTracking is non null
        Build build = model.getBuild();

        ByteArrayOutputStream baos = new ByteArrayOutputStream();

            // Create model and set properties
            Model model = new Model();
            Properties props = model.getProperties();

            // Create properties and populate from map to maintain order
            orderedMap.forEach(props::setProperty);

            // Get the immutable delegate (v4 API model is already immutable)
            org.apache.maven.api.model.Model immutable = model.getDelegate();

 * be registered in {@code META-INF/services/org.apache.maven.api.model.ModelObjectProcessor}.</p>
 *
 * <p>The service is called during model building for all model objects, allowing
 * implementations to decide which objects to process and how to optimize them.</p>
 *
 * @since 4.0.0
 */
public interface ModelObjectProcessor {

    /**
     * Process a model object, potentially returning a pooled or optimized version.
     *

class BodyModelOptionalListStr(BaseModel):
    p: Optional[list[str]] = None


@app.post("/model-optional-list-str", operation_id="model_optional_list_str")
async def read_model_optional_list_str(p: BodyModelOptionalListStr):
    return {"p": p.p}


@pytest.mark.parametrize(
    "path",
    ["/optional-list-str", "/model-optional-list-str"],
)
def test_optional_list_str_schema(path: str):
    openapi = app.openapi()

     */
    void validateRawModel(Model model, ModelBuildingRequest request, ModelProblemCollector problems);

    /**
     * Checks the specified (effective) model for missing or invalid values. The effective model is fully assembled and
     * has undergone inheritance, interpolation and other model operations.
     *
     * @param model The model to validate, must not be {@code null}.