Это могут быть буквально одна-две строки кода, например:

```Python
callback_url = "https://example.com/api/v1/invoices/events/"
httpx.post(callback_url, json={"description": "Invoice paid", "paid": True})
```

		tx.Statement.Table = ""
	}
	return
}

// Distinct specify distinct fields that you want querying
//
//	// Select distinct names of users
//	db.Distinct("name").Find(&results)
//	// Select distinct name/age pairs from users
//	db.Distinct("name", "age").Find(&results)
func (db *DB) Distinct(args ...interface{}) (tx *DB) {
	tx = db.getInstance()
	tx.Statement.Distinct = true
	if len(args) > 0 {
		tx = tx.Select(args[0], args[1:]...)

Es könnten nur eine oder zwei Codezeilen sein, wie zum Beispiel:

```Python
callback_url = "https://example.com/api/v1/invoices/events/"
httpx.post(callback_url, json={"description": "Invoice paid", "paid": True})
```

      Comparator<Entry<K, V>> entryComparator(@Nullable Comparator<? super K> keyComparator) {
    return new EntryComparator<K, V>(keyComparator);
  }

  /**
   * Asserts that all pairs of {@code T} values within {@code valuesInExpectedOrder} are ordered
   * consistently between their order within {@code valuesInExpectedOrder} and the order implied by
   * the given {@code comparator}.
   *

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package kms

import (
	"bytes"
	"sort"
	"unicode/utf8"
)

// Context is a set of key-value pairs that
// are associated with a generate data encryption
// key (DEK).
//
// A KMS implementation may bind the context to the
// generated DEK such that the same context must be
// provided when decrypting an encrypted DEK.

        val durations: List<Map<String, Any>> = objectMapper.readValue(performanceTestDurationsJson)
        val pairs =
            durations.flatMap { scenarioDurations ->
                val scenario = Scenario.fromTestId(scenarioDurations["scenario"] as String)

      Comparator<Entry<K, V>> entryComparator(@Nullable Comparator<? super K> keyComparator) {
    return new EntryComparator<K, V>(keyComparator);
  }

  /**
   * Asserts that all pairs of {@code T} values within {@code valuesInExpectedOrder} are ordered
   * consistently between their order within {@code valuesInExpectedOrder} and the order implied by
   * the given {@code comparator}.
   *

app = FastAPI()


class Invoice(BaseModel):
    id: str
    title: str | None = None
    customer: str
    total: float


class InvoiceEvent(BaseModel):
    description: str
    paid: bool


class InvoiceEventReceived(BaseModel):
    ok: bool


invoices_callback_router = APIRouter()


@invoices_callback_router.post(

Wir werden diese Dinge beheben, indem wir ein paar **zusätzliche Modelle** hinzufügen. Hier wird SQLModel glänzen. ✨

### Mehrere Modelle erstellen { #create-multiple-models }

In **SQLModel** ist jede Modellklasse, die `table=True` hat, ein **Tabellenmodell**.

Und jede Modellklasse, die `table=True` nicht hat, ist ein **Datenmodell**, diese sind tatsächlich nur Pydantic-Modelle (mit ein paar kleinen zusätzlichen Funktionen). 🤓

  professional setting

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