import software.amazon.awssdk.services.s3.model.ListObjectsV2Request;
import software.amazon.awssdk.services.s3.model.ListObjectsV2Response;
import software.amazon.awssdk.services.s3.model.NoSuchBucketException;
import software.amazon.awssdk.services.s3.model.PutObjectRequest;
import software.amazon.awssdk.services.s3.model.PutObjectTaggingRequest;
import software.amazon.awssdk.services.s3.model.S3Object;

    private ToolchainModel model;

    /**
     *
     * @param model the model, must not be {@code null}
     * @param logger the logger, must not be {@code null}
     */
    protected DefaultToolchain(ToolchainModel model, Logger logger) {
        this.model = model;
        this.logger = logger;
    }

    /**
     *
     * @param model the model, must not be {@code null}
     * @param type the type

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

import java.io.File;
import java.io.IOException;

import org.apache.maven.model.Model;
import org.apache.maven.model.building.SimpleProblemCollector;
import org.apache.maven.model.io.DefaultModelReader;
import org.apache.maven.model.io.DefaultModelWriter;
import org.apache.maven.model.io.ModelWriter;
import org.junit.jupiter.api.BeforeEach;

import org.apache.maven.api.annotations.Nullable;
import org.apache.maven.api.di.Named;
import org.apache.maven.api.model.Model;
import org.apache.maven.api.services.Source;

/**
 * The {@code ModelParser} interface is used to locate and read {@link Model}s from the file system.
 * This allows plugging in additional syntaxes for the main model read by Maven when building a project.
 *
 * @since 4.0.0
 */
@Experimental
@Consumer
@Named

import org.apache.maven.model.Dependency;
import org.apache.maven.model.Parent;
import org.apache.maven.model.Repository;
import org.apache.maven.model.building.FileModelSource;
import org.apache.maven.model.building.ModelSource;
import org.apache.maven.model.resolution.InvalidRepositoryException;
import org.apache.maven.model.resolution.ModelResolver;
import org.apache.maven.model.resolution.UnresolvableModelException;

import org.apache.maven.model.Dependency;
import org.apache.maven.model.DependencyManagement;
import org.apache.maven.model.DistributionManagement;
import org.apache.maven.model.Model;
import org.apache.maven.model.Relocation;
import org.apache.maven.model.Repository;
import org.apache.maven.model.building.ModelBuildingException;
import org.apache.maven.model.building.ModelBuildingRequest;

{* ../../docs_src/path_params/tutorial005_py39.py hl[1,6:9] *}

/// tip

If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <abbr title="Technically, Deep Learning model architectures">models</abbr>.

///

### Declare a *path parameter* { #declare-a-path-parameter }

Then create a *path parameter* with a type annotation using the enum class you created (`ModelName`):

app = FastAPI()


class Model(BaseModel):
    param: str = Field(alias="param_alias")


@app.get("/query")
async def query_model(data: Model = Query()):
    return {"param": data.param}


@app.get("/header")
async def header_model(data: Model = Header()):
    return {"param": data.param}


@app.get("/cookie")
async def cookie_model(data: Model = Cookie()):
    return {"param": data.param}

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

import java.io.File;
import java.util.Date;
import java.util.List;
import java.util.Properties;

import org.apache.maven.model.Model;
import org.apache.maven.model.Profile;
import org.apache.maven.model.resolution.ModelResolver;
import org.apache.maven.model.resolution.WorkspaceModelResolver;

/**

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

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

import java.util.ArrayList;
import java.util.Collection;
import java.util.HashSet;
import java.util.List;

import org.apache.maven.model.Activation;
import org.apache.maven.model.Profile;
import org.apache.maven.model.building.ModelProblem.Severity;