QueryContext(ctx context.Context, query string, args ...interface{}) (*sql.Rows, error)
	QueryRowContext(ctx context.Context, query string, args ...interface{}) *sql.Row
}

// SavePointerDialectorInterface save pointer interface
type SavePointerDialectorInterface interface {
	SavePoint(tx *DB, name string) error
	RollbackTo(tx *DB, name string) error
}

// TxBeginner tx beginner

## HTTP Basic Auth Simples { #simple-http-basic-auth }

* Importe `HTTPBasic` e `HTTPBasicCredentials`.
* Crie um "esquema `security`" utilizando `HTTPBasic`.
* Utilize o `security` com uma dependência em sua *operação de rota*.
* Isso retorna um objeto do tipo `HTTPBasicCredentials`:
    * Isto contém o `username` e o `password` enviado.

{* ../../docs_src/security/tutorial006_an_py39.py hl[4,8,12] *}

	RORIW	$31, X13, X14				// 1bd7f661 or 9bdff6011b97160033e7ef00
	RORIW	$1, X14, X15				// 9b571760 or 9b5f17009b17f701b3e7ff00
	RORW	X15, X16, X17				// bb58f860 or b30ff040bb1ff801bb58f800b3e81f01
	RORW	X15, X16				// 3b58f860 or b30ff040bb1ff8013b58f80033e80f01
	RORW	$31, X13				// 9bd6f661 or 9bdff6019b961600b3e6df00
	ORCB	X5, X6					// 13d37228
	REV8	X7, X8					// 13d4836b

	// 28.4.4: Single-bit Instructions (Zbs)

### Data protection

		return &aggVal{runningMin: FromInt(0)}
	case aggFnMax:
		return &aggVal{runningMax: FromInt(0)}
	default:
		return &aggVal{}
	}
}

// evalAggregationNode - performs partial computation using the
// current row and stores the result.
//
// On success, it returns (nil, nil).
func (e *FuncExpr) evalAggregationNode(r Record, tableAlias string) error {
	// It is assumed that this function is called only when

Agora você pode iniciar a sua aplicação e ir até <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

Você verá que a sua documentação possui as *operações de rota* normais e agora também possui alguns **webhooks**:

    style V2 fill:#f9fff3
    style V1 fill:#fff6f0
    style V1Field fill:#fff6f0
    style V2Field fill:#f9fff3
```

Em alguns casos, é até possível ter modelos Pydantic v1 e v2 na mesma operação de rota na sua aplicação FastAPI:

{* ../../docs_src/pydantic_v1_in_v2/tutorial003_an_py310.py hl[2:3,6,12,21:22] *}

We will now enable bucket event notifications on a bucket named `images`. Whenever a JPEG image is created/overwritten, a new row is added or an existing row is updated in the PostgreSQL configured above. When an existing object is deleted, the corresponding row is deleted from the PostgreSQL table. Thus, the rows in the PostgreSQL table, reflect the `.jpg` objects in the `images` bucket.

// If an aggregation node is present as a descendant (when
// e.prop.isAggregation is true), we call evalNode on all child nodes,
// check for errors, but do not perform any combining of the results
// of child nodes. The final result row is returned after all rows are
// processed, and the `getAggregate` function is called.

func (e *AliasedExpression) evalNode(r Record, tableAlias string) (*Value, error) {
	return e.Expression.evalNode(r, tableAlias)
}

	if err := gorm.G[User](DB).Create(ctx, &user); err != nil {
		t.Fatalf("Create failed: %v", err)
	}

	row := gorm.G[User](DB).Raw("SELECT name FROM ? WHERE id = ?", clause.Table{Name: clause.CurrentTable}, user.ID).Row(ctx)
	var name string
	if err := row.Scan(&name); err != nil {
		t.Fatalf("Row scan failed: %v", err)
	}
	if name != user.Name {
		t.Errorf("expected %s, got %s", user.Name, name)
	}