import org.apache.maven.model.IssueManagement;
import org.apache.maven.model.License;
import org.apache.maven.model.MailingList;
import org.apache.maven.model.Model;
import org.apache.maven.model.ModelBase;
import org.apache.maven.model.Notifier;
import org.apache.maven.model.Organization;
import org.apache.maven.model.Parent;
import org.apache.maven.model.Plugin;
import org.apache.maven.model.PluginExecution;

Then we use the request directly, and extract the body as `bytes`. This means that FastAPI won't even try to parse the request payload as JSON.

And then in our code, we parse that YAML content directly, and then we are again using the same Pydantic model to validate the YAML content:

import common.buildScanTagParam
import model.CIBuildModel
import model.Stage

class CheckLinks(
    model: CIBuildModel,
    stage: Stage,
) : OsAwareBaseGradleBuildType(os = Os.LINUX, stage = stage, failStage = false, init = {
        id("${model.projectId}_CheckLinks")
        name = "CheckLinks"
        description = "Check links in documentations"

        applyDefaults(
            model,
            this,

## Nested Models { #nested-models }

Each attribute of a Pydantic model has a type.

But that type can itself be another Pydantic model.

So, you can declare deeply nested JSON "objects" with specific attribute names, types and validations.

All that, arbitrarily nested.

### Define a submodel { #define-a-submodel }

For example, we can define an `Image` model:

		{Name: "ID", DBName: "id", BindNames: []string{"Model", "ID"}, DataType: schema.Uint, PrimaryKey: true, Tag: `gorm:"primarykey"`, TagSettings: map[string]string{"PRIMARYKEY": "PRIMARYKEY"}, Size: 64, HasDefaultValue: true, AutoIncrement: true},
		{Name: "CreatedAt", DBName: "created_at", BindNames: []string{"Model", "CreatedAt"}, DataType: schema.Time},
		{Name: "UpdatedAt", DBName: "updated_at", BindNames: []string{"Model", "UpdatedAt"}, DataType: schema.Time},

 -----
 Introduction
 -----
 Guillaume Nodet
 -----
 2024-04-04
 -----

Maven 4 API - Repository Metadata Model

 This is the immutable model for Repository Metadata in <<<org.apache.maven.api.metadata>>> package.

 The following are generated from this model:

import jetbrains.buildServer.configs.kotlin.DslContext
import model.CIBuildModel

class PartialTrigger<T : BaseGradleBuildType>(
    triggerName: String,
    triggerId: String,
    model: CIBuildModel,
    dependencies: Iterable<T>,
) : BaseGradleBuildType(init = {
        id("${model.projectId}_${triggerId}_Trigger")
        uuid = "${DslContext.uuidPrefix}_${model.projectId}_${triggerId}_Trigger"
        name = "$triggerName (Trigger)"

    }

    @Test
    void testValidate() {
        Settings model = new Settings();
        Profile prof = new Profile();
        prof.setId("xxx");
        model.addProfile(prof);
        SimpleProblemCollector problems = new SimpleProblemCollector();
        validator.validate(model, problems);
        assertEquals(0, problems.messages.size());

  int num_dims = TF_NumDims(t);
  for (int i = 0; i < num_dims; i++) {
    out_dims[i] = TF_Dim(t, i);
  }
}

// Runs model as is if output is a scalar,
// else sums the output tensor before returning.
absl::Status RunAndMaybeSum(AbstractContext* ctx, Model forward,
                            absl::Span<AbstractTensorHandle* const> inputs,
                            absl::Span<AbstractTensorHandle*> outputs,

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

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

import org.apache.maven.model.Model;
import org.apache.maven.model.ReportPlugin;
import org.apache.maven.model.ReportSet;
import org.apache.maven.model.Reporting;
import org.apache.maven.model.building.ModelBuildingRequest;
import org.apache.maven.model.building.ModelProblemCollector;