table = create("foo", 1, 'a', "bar", 1, 'b', "foo", 3, 'c');
    Cell<String, Integer, Character> cell = table.cellSet().iterator().next();
    assertEquals(Tables.immutableCell("foo", 1, 'a'), cell);
    assertEquals((Character) 'a', table.put("foo", 1, 'd'));
    assertEquals(Tables.immutableCell("foo", 1, 'd'), cell);
  }

  public void testRowMissing() {
    table = create("foo", 1, 'a', "bar", 1, 'b', "foo", 3, 'c');

    table = create("foo", 1, 'a', "bar", 1, 'b', "foo", 3, 'c');
    Cell<String, Integer, Character> cell = table.cellSet().iterator().next();
    assertEquals(Tables.immutableCell("foo", 1, 'a'), cell);
    assertEquals((Character) 'a', table.put("foo", 1, 'd'));
    assertEquals(Tables.immutableCell("foo", 1, 'd'), cell);
  }

  public void testRowMissing() {
    table = create("foo", 1, 'a', "bar", 1, 'b', "foo", 3, 'c');

	//
	// Extreme corner case:
	// If for some reason your host had both binaries, and you were injecting out-of-band
	// iptables rules within a pod context into `legacy` tables, but your host context preferred
	// `nft`, we would still inject our rules in-pod into nft tables, which is a bit wonky.
	//
	// But that's stunningly unlikely (and would still work either way)
	iptVer, err := ext.DetectIptablesVersion(false)
	if err != nil {

	// GORM perform single create, update, delete operations in transactions by default to ensure database data integrity
	// You can disable it by setting `SkipDefaultTransaction` to true
	SkipDefaultTransaction bool
	// NamingStrategy tables, columns naming strategy
	NamingStrategy schema.Namer
	// FullSaveAssociations full save associations
	FullSaveAssociations bool
	// Logger
	Logger logger.Interface

## Main **FastAPI** app

And now in the file `sql_app/main.py` let's integrate and use all the other parts we created before.

### Create the database tables

In a very simplistic way create the database tables:

```Python hl_lines="9-11"
{!../../../docs_src/sql_databases_peewee/sql_app/main.py!}
```

### Create a dependency

Pour parler de tâches "synchrones" (en opposition à "asynchrones"), on utilise souvent le terme "séquentiel", car l'ordinateur / le programme va effectuer toutes les étapes d'une tâche séquentiellement avant de passer à une autre tâche, même si ces étapes impliquent de l'attente.

### Concurrence et Burgers

    dependentSchemas: Optional[Dict[str, "SchemaOrBool"]] = None
    prefixItems: Optional[List["SchemaOrBool"]] = None
    # TODO: uncomment and remove below when deprecating Pydantic v1
    # It generales a list of schemas for tuples, before prefixItems was available
    # items: Optional["SchemaOrBool"] = None
    items: Optional[Union["SchemaOrBool", List["SchemaOrBool"]]] = None
    contains: Optional["SchemaOrBool"] = None

	} else if users[0].UpdatedAt.IsZero() {
		t.Fatalf("user's updated at should not zero, %v", users[0].UpdatedAt)
	}

	if rowsAffected := DB.Model(&User{}).Clauses(clause.From{Tables: []clause.Table{{Name: "accounts"}}}).Where("accounts.user_id = users.id AND accounts.number = ? AND accounts.deleted_at IS NULL", users[0].Account.Number).Update("name", "franco").RowsAffected; rowsAffected != 1 {

	}
}

func TestFromWithJoins(t *testing.T) {
	var result User

	newDB := DB.Session(&gorm.Session{NewDB: true, DryRun: true}).Table("users")

	newDB.Clauses(
		clause.From{
			Tables: []clause.Table{{Name: "users"}},
			Joins: []clause.Join{
				{
					Table: clause.Table{Name: "companies", Raw: false},
					ON: clause.Where{
						Exprs: []clause.Expression{
							clause.Eq{

    }
  }

  private static boolean shouldTrim(int actualUnique, int expectedUnique) {
    return actualUnique < (expectedUnique >> 1) + (expectedUnique >> 2);
  }

  // We use power-of-2 tables, and this is the highest int that's a power of 2
  static final int MAX_TABLE_SIZE = Ints.MAX_POWER_OF_TWO;

  // Represents how tightly we can pack things, as a maximum.