list.add(i);
    }

    Ordering<Object> arbitrary =
        new ArbitraryOrdering() {
          @Override
          int identityHashCode(Object object) {
            return ((Integer) object) % 5; // fake tons of collisions!
          }
        };

    // Don't let the elements be in such a predictable order
    list = shuffledCopy(list, new Random(1));

    sort(list, arbitrary);

      list.add(i);
    }

    Ordering<Object> arbitrary =
        new ArbitraryOrdering() {
          @Override
          int identityHashCode(Object object) {
            return ((Integer) object) % 5; // fake tons of collisions!
          }
        };

    // Don't let the elements be in such a predictable order
    list = shuffledCopy(list, new Random(1));

    sort(list, arbitrary);

		*GetUser("slice-hasmany-2", Config{Toys: 0, Tools: 2}),
		*GetUser("slice-hasmany-3", Config{Toys: 4}),
	}

	DB.Create(&users)

	// Count
	AssertAssociationCount(t, users, "Toys", 6, "")
	AssertAssociationCount(t, users, "Tools", 2, "")

	// Find
	var toys []Toy
	if DB.Model(&users).Association("Toys").Find(&toys); len(toys) != 6 {
		t.Errorf("toys count should be %v, but got %v", 6, len(toys))
	}

	result.Languages = append(user.Languages, result.Languages...)
	result.Toys = append(user.Toys, result.Toys...)

	sort.Slice(result.Languages, func(i, j int) bool {
		return strings.Compare(result.Languages[i].Code, result.Languages[j].Code) > 0
	})

	sort.Slice(result.Toys, func(i, j int) bool {
		return result.Toys[i].ID < result.Toys[j].ID
	})

	sort.Slice(result2.Languages, func(i, j int) bool {

* L'apprentissage automatique (ou **Machine Learning**) : cela nécessite de nombreuses multiplications de matrices et vecteurs. Imaginez une énorme feuille de calcul remplie de nombres que vous multiplierez entre eux tous au même moment.

		ID  int
		Cat struct {
			Name string
			Toy  Toy   `gorm:"polymorphic:Owner;"`
			Toys []Toy `gorm:"polymorphic:Owner;"`
		} `gorm:"embedded;embeddedPrefix:cat_"`
		Dog struct {
			ID     int
			Name   string
			UserID int
			Toy    Toy   `gorm:"polymorphic:Owner;"`
			Toys   []Toy `gorm:"polymorphic:Owner;"`
		}
		Toys []Toy `gorm:"polymorphic:Owner;"`
	}

### Court

Des **valeurs par défaut** sont définies pour tout, des configurations optionnelles sont présentent partout. Tous ces paramètres peuvent être ajustés afin de faire ce que vous voulez et définir l'API dont vous avez besoin.

Mais, **tout fonctionne** par défaut.

### Validation

* Validation pour la plupart (ou tous?) les **types de données** Python incluant:
    * objets JSON (`dict`).

	var updatedUser User
	if err := DB.Preload("Pets").Preload("Toys").Where("id = ?", user.ID).First(&updatedUser).Error; err != nil {
		t.Fatalf("failed to find updated user: %v", err)
	}

	if len(updatedUser.Pets) != 2 {
		t.Fatalf("expected 2 pets, got %d", len(updatedUser.Pets))
	}

	if len(updatedUser.Toys) != 2 {
		t.Fatalf("expected 2 toys, got %d", len(updatedUser.Toys))
	}
}

                }
                dr.pathConsumed--;
            }

            if (log.isDebugEnabled()) {
                final String cons = reqPath.substring(0, consumed);
                log.debug("Request " + reqPath + " ref path " + dr.path + " consumed " + dr.pathConsumed + ": " + cons);
            }
        }

        return dr;
    }

    /**
     * {@inheritDoc}
     *

				relationships.Relations = map[string]*Relationship{}
			}
			relationships.Relations[relation.Name] = relation
		}
	}
}

// User has many Toys, its `Polymorphic` is `Owner`, Pet has one Toy, its `Polymorphic` is `Owner`
//
//	type User struct {
//	  Toys []Toy `gorm:"polymorphic:Owner;"`
//	}
//	type Pet struct {
//	  Toy Toy `gorm:"polymorphic:Owner;"`
//	}
//	type Toy struct {
//	  OwnerID   int