<modules>
    <module>maven-api-annotations</module>
    <module>maven-api-di</module>
    <module>maven-api-xml</module>
    <module>maven-api-model</module>
    <module>maven-api-plugin</module>
    <module>maven-api-settings</module>
    <module>maven-api-toolchain</module>
    <module>maven-api-metadata</module>
    <module>maven-api-core</module>

		// these dialects do not support the "returning" clause
		return
	default:
		// This user struct will leverage the existing users table, but override
		// the Name field to default to null.
		type user struct {
			gorm.Model
			Name string `gorm:"default:null"`
		}
		u1 := user{}

		if results := DB.Create(&u1); results.Error != nil {
			t.Fatalf("errors happened on create: %v", results.Error)
		} else if results.RowsAffected != 1 {

* **Güvenli şifreleme** .
* **JWT token** kimlik doğrulama.
* **SQLAlchemy** models (Flask dan bağımsızdır. Celery worker'ları ile kullanılabilir).
* Kullanıcılar için temel başlangıç ​​modeli (gerektiği gibi değiştirin ve kaldırın).
* **Alembic** migration.
* **CORS** (Cross Origin Resource Sharing).

	for x := 0; x < b.N; x++ {
		DB.Raw("select * from users").Scan(&u)
	}
}

func BenchmarkUpdate(b *testing.B) {
	user := *GetUser("find", Config{})
	DB.Create(&user)

	for x := 0; x < b.N; x++ {
		DB.Model(&user).Updates(map[string]interface{}{"Age": x})
	}
}

func BenchmarkDelete(b *testing.B) {
	user := *GetUser("find", Config{})

	for x := 0; x < b.N; x++ {
		user.ID = 0
		DB.Create(&user)

    </ul>
    ]]>
  </description>
  <defaults>
    <default>
      <key>package</key>
      <value>org.apache.maven.model</value>
    </default>
  </defaults>
  <classes>
    <class rootElement="true" xml.tagName="project">
      <name>Model</name>
      <superClass>ModelBase</superClass>
      <description>
        The {@code &lt;project>} element is the root of the descriptor.

And then you can set cookies in that *temporal* response object.

{* ../../docs_src/response_cookies/tutorial002.py hl[1, 8:9] *}

And then you can return any object you need, as you normally would (a `dict`, a database model, etc).

And if you declared a `response_model`, it will still be used to filter and convert the object you returned.

* data validation
* data serialization
* data documentation, etc.

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

/// info

Keep in mind that dataclasses can't do everything Pydantic models can do.

So, you might still need to use Pydantic models.

* مستندسازی خودکار data model با <a href="https://json-schema.org/" class="external-link" target="_blank"><strong>JSON Schema</strong></a> (همانطور که OpenAPI خود نیز مبتنی بر JSON Schema است).

   * triggered by cancel(). For details, see the comments on the fields of TimeoutFuture.
   *
   * <p>{@code volatile} is required for j2objc transpiling:
   * https://developers.google.com/j2objc/guides/j2objc-memory-model#atomicity
   */
  private volatile @Nullable InterruptibleTask<?> task;

  TrustedListenableFutureTask(Callable<V> callable) {
    this.task = new TrustedFutureInterruptibleTask(callable);
  }

package tests_test

import (
	"database/sql"
	"errors"
	"testing"

	"gorm.io/gorm"
	. "gorm.io/gorm/utils/tests"
)

func TestNamedArg(t *testing.T) {
	type NamedUser struct {
		gorm.Model
		Name1 string
		Name2 string
		Name3 string
	}

	DB.Migrator().DropTable(&NamedUser{})
	DB.AutoMigrate(&NamedUser{})

	namedUser := NamedUser{Name1: "jinzhu1", Name2: "jinzhu2", Name3: "jinzhu3"}
	DB.Create(&namedUser)