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));

    Collections.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));

    Collections.sort(list, arbitrary);

* 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.

		*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))
	}

		*GetUser("bulk_5", Config{Account: false, Pets: 0, Toys: 3, Company: true, Manager: false, Team: 1, Languages: 3, Friends: 1}),
		*GetUser("bulk_6", Config{Account: true, Pets: 4, Toys: 3, Company: false, Manager: true, Team: 1, Languages: 3, Friends: 0}),
		*GetUser("bulk_7", Config{Account: true, Pets: 1, Toys: 3, Company: true, Manager: true, Team: 4, Languages: 3, Friends: 1}),

			}
		}
	})

	t.Run("Toys", func(t *testing.T) {
		if len(user.Toys) != len(expect.Toys) {
			t.Fatalf("toys should equal, expect: %v, got %v", len(expect.Toys), len(user.Toys))
		}

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

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

	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 {

   0340; COMBINING GRAVE TONE MARK
   0341; COMBINING ACUTE TONE MARK
   200E; LEFT-TO-RIGHT MARK
   200F; RIGHT-TO-LEFT MARK
   202A; LEFT-TO-RIGHT EMBEDDING
   202B; RIGHT-TO-LEFT EMBEDDING
   202C; POP DIRECTIONAL FORMATTING
   202D; LEFT-TO-RIGHT OVERRIDE
   202E; RIGHT-TO-LEFT OVERRIDE
   206A; INHIBIT SYMMETRIC SWAPPING
   206B; ACTIVATE SYMMETRIC SWAPPING
   206C; INHIBIT ARABIC FORM SHAPING
   206D; ACTIVATE ARABIC FORM SHAPING

		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;"`
	}

02E5..02E9    ; valid                  ;      ; NV8    # 1.1  MODIFIER LETTER EXTRA-HIGH TONE BAR..MODIFIER LETTER EXTRA-LOW TONE BAR
02EA..02EB    ; valid                  ;      ; NV8    # 3.0  MODIFIER LETTER YIN DEPARTING TONE MARK..MODIFIER LETTER YANG DEPARTING TONE MARK
02EC          ; valid                                  # 3.0  MODIFIER LETTER VOICING