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);

        },

			}
		}
	})

	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
		})

		*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 {

		*GetUser("delete_slice_with_associations1", Config{Account: true, Pets: 4, Toys: 1, Company: true, Manager: true, Team: 1, Languages: 1, Friends: 4}),
		*GetUser("delete_slice_with_associations2", Config{Account: true, Pets: 3, Toys: 2, Company: true, Manager: true, Team: 2, Languages: 2, Friends: 3}),
		*GetUser("delete_slice_with_associations3", Config{Account: true, Pets: 2, Toys: 3, Company: true, Manager: true, Team: 3, Languages: 3, Friends: 2}),

	m.Set(replicationMaxActiveWorkers, float64(qa.Max))

	if len(qs.XferStats) > 0 {
		tots := qs.XferStats[Total]
		m.Set(replicationAverageDataTransferRate, tots.Avg)
		m.Set(replicationCurrentDataTransferRate, tots.Curr)
		m.Set(replicationMaxDataTransferRate, tots.Peak)
	}
	m.Set(replicationRecentBacklogCount, float64(qs.MRFStats.LastFailedCount))

	return nil

* 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;"`
	}