assert response.json() == {
        "user_me": {
            "user_me": "user_me_1",
            "current_user": {
                "user": "user_1",
                "scopes": ["me"],
                "db_session": "db_session_1",
            },
        },
        "user_items": {
            "user_items": "user_items_1",
            "user_me": {
                "user_me": "user_me_2",
                "current_user": {

		CheckUser(t, user, users2[idx])
	}
}

func TestJoinConds(t *testing.T) {
	user := *GetUser("joins-conds", Config{Account: true, Pets: 3})
	DB.Save(&user)

	var users1 []User
	DB.Joins("inner join pets on pets.user_id = users.id").Where("users.name = ?", user.Name).Find(&users1)
	if len(users1) != 3 {
		t.Errorf("should find two users using left join, but got %v", len(users1))
	}

	var users2 []User

	DB.Omit(clause.Associations).Create(&user2)

	var result2 User
	DB.Preload(clause.Associations).First(&result2, user2.ID)

	user2.Account = Account{}
	user2.Toys = nil
	user2.Manager = nil
	user2.Company = Company{}
	user2.Pets = nil
	user2.Team = nil
	user2.Languages = nil
	user2.Friends = nil

	CheckUser(t, result2, user2)
}

func TestFirstOrCreateNotExistsTable(t *testing.T) {

### About `**user_in.model_dump()` { #about-user-in-model-dump }

#### Pydantic's `.model_dump()` { #pydantics-model-dump }

`user_in` is a Pydantic model of class `UserIn`.

Pydantic models have a `.model_dump()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

```Python

	if users[1].Name != "update_column_02_newname" || users[1].Age != 100 {
		t.Errorf("user 2 should be updated with update column")
	}
	AssertEqual(t, lastUpdatedAt.UnixNano(), users[1].UpdatedAt.UnixNano())

	// user2 should not be updated
	var user1, user2 User
	DB.First(&user1, users[0].ID)
	DB.First(&user2, users[1].ID)
	CheckUser(t, user1, *users[0])
	CheckUser(t, user2, *users[1])

     * Handles user authentication setup and database persistence.
     * If the surname is blank, it will be set to the user's name.
     *
     * @param user the user entity to store
     */
    public void store(final User user) {
        final String username = user.getName();
        final boolean isUpdate = StringUtil.isNotBlank(user.getId());

        if (logger.isDebugEnabled()) {

def fake_save_user(user_in: UserIn):
    hashed_password = fake_password_hasher(user_in.password)
    user_in_db = UserInDB(**user_in.model_dump(), hashed_password=hashed_password)
    print("User saved! ..not really")
    return user_in_db


@app.post("/user/", response_model=UserOut)
async def create_user(user_in: UserIn):
    user_saved = fake_save_user(user_in)

	DB.Save(&user1).Save(&user2)

	if DB.Delete(&User{}, user1.ID).Error != nil {
		t.Errorf("No error should happen when delete a record")
	} else if err := DB.Where("name = ?", user1.Name).First(&User{}).Error; !errors.Is(err, gorm.ErrRecordNotFound) {
		t.Errorf("User can't be found after delete")
	}

	if err := DB.Delete(&User{}, "name = ?", user2.Name).Error; err != nil {
		t.Errorf("No error should happen when delete a record, err=%s", err)

}

// Limit specify the number of records to be retrieved
//
// Limit conditions can be cancelled by using `Limit(-1)`.
//
//	// retrieve 3 users
//	db.Limit(3).Find(&users)
//	// retrieve 3 users into users1, and all users into users2
//	db.Limit(3).Find(&users1).Limit(-1).Find(&users2)
func (db *DB) Limit(limit int) (tx *DB) {
	tx = db.getInstance()
	tx.Statement.AddClause(clause.Limit{Limit: &limit})
	return
}

### Про `**user_in.model_dump()` { #about-user-in-model-dump }

#### `.model_dump()` у Pydantic { #pydantics-model-dump }

`user_in` - це модель Pydantic класу `UserIn`.

Моделі Pydantic мають метод `.model_dump()`, який повертає `dict` з даними моделі.

Отже, якщо ми створимо об’єкт Pydantic `user_in` так:

```Python