*   `Model.fit_generator`, `Model.evaluate_generator`,
        `Model.predict_generator`, `Model.train_on_batch`,
        `Model.test_on_batch`, and `Model.predict_on_batch` methods now respect
        the `run_eagerly` property, and will correctly run using `tf.function`
        by default. Note that `Model.fit_generator`, `Model.evaluate_generator`,

///

### Pydantic and FastAPI `examples` { #pydantic-and-fastapi-examples }

When you add `examples` inside a Pydantic model, using `schema_extra` or `Field(examples=["something"])` that example is added to the **JSON Schema** for that Pydantic model.

And that **JSON Schema** of the Pydantic model is included in the **OpenAPI** of your API, and then it's used in the docs UI.

## Additional Response with `model` { #additional-response-with-model }

You can pass to your *path operation decorators* a parameter `responses`.

It receives a `dict`: the keys are status codes for each response (like `200`), and the values are other `dict`s with the information for each of them.

Each of those response `dict`s can have a key `model`, containing a Pydantic model, just like `response_model`.

	"gorm.io/gorm/clause"
	"gorm.io/gorm/utils"
)

// Model specify the model you would like to run db operations
//
//	// update all users's name to `hello`
//	db.Model(&User{}).Update("name", "hello")
//	// if user's primary key is non-blank, will use it as condition, then will only update that user's name to `hello`
//	db.Model(&user).Update("name", "hello")
func (db *DB) Model(value interface{}) (tx *DB) {
	tx = db.getInstance()

import common.getBuildScanCustomValueParam
import jetbrains.buildServer.configs.kotlin.BuildSteps
import jetbrains.buildServer.configs.kotlin.buildFeatures.perfmon
import model.CIBuildModel
import model.Stage
import model.StageName
import model.TestCoverage
import model.TestType

const val FUNCTIONAL_TEST_TAG = "FunctionalTest"

sealed class ParallelizationMethod {
    open val extraBuildParameters: String

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)"

 * under the License.
 */
package org.apache.maven.artifact.resolver;

import java.io.File;
import java.util.Collections;
import java.util.List;

import org.apache.maven.model.Model;
import org.apache.maven.model.Repository;
import org.apache.maven.repository.internal.MavenWorkspaceReader;
import org.eclipse.aether.artifact.Artifact;
import org.eclipse.aether.repository.WorkspaceRepository;

  "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  KIND, either express or implied.  See the License for the
  specific language governing permissions and limitations
  under the License.

-->

<model xmlns="http://codehaus-plexus.github.io/MODELLO/2.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://codehaus-plexus.github.io/MODELLO/2.0.0 https://codehaus-plexus.github.io/modello/xsd/modello-2.0.0.xsd"

 -----
 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:

	dryRunDB := DB.Session(&gorm.Session{DryRun: true})

	stmt := dryRunDB.Model(&user).Where("id = ?", 1).Updates(map[string]interface{}{"age": ageInt(8)}).Statement
	sql := DB.Dialector.Explain(stmt.SQL.String(), stmt.Vars...)
	if !regexp.MustCompile(`.*age.*=8,`).MatchString(sql) {
		t.Errorf("Failed to generate sql, got %v", sql)
	}