return e0().getKey();
  }

  protected final V v0() {
    return e0().getValue();
  }

  protected final K k1() {
    return e1().getKey();
  }

  protected final V v1() {
    return e1().getValue();
  }

  protected final K k2() {
    return e2().getKey();
  }

  protected final V v2() {
    return e2().getValue();
  }

  protected final K k3() {

    return e0().getKey();
  }

  protected final V v0() {
    return e0().getValue();
  }

  protected final K k1() {
    return e1().getKey();
  }

  protected final V v1() {
    return e1().getValue();
  }

  protected final K k2() {
    return e2().getKey();
  }

  protected final V v2() {
    return e2().getValue();
  }

  protected final K k3() {

## URL da OpenAPI

Por padrão, o esquema OpenAPI é servido em `/openapi.json`.

Mas você pode configurá-lo com o parâmetro `openapi_url`.

Por exemplo, para defini-lo para ser servido em `/api/v1/openapi.json`:

```Python hl_lines="3"
{!../../docs_src/metadata/tutorial002.py!}
```

        json_schema = field_mapping[(field, override_mode or field.mode)]
        if "$ref" not in json_schema:
            # TODO remove when deprecating Pydantic v1
            # Ref: https://github.com/pydantic/pydantic/blob/d61792cc42c80b13b23e3ffa74bc37ec7c77f7d1/pydantic/schema.py#L207
            json_schema["title"] = (

      <match value="0xfffa" type="string" offset="0"/> <!-- V1, L3, CRC -->
      <match value="0xfffb" type="string" offset="0"/> <!-- V1, L3      -->
      <match value="0xfffc" type="string" offset="0"/> <!-- V1, L2, CRC -->
      <match value="0xfffd" type="string" offset="0"/> <!-- V1, L2      -->
      <match value="0xffe3" type="string" offset="0"/> <!-- MP3 2.5 from pronom     -->

			t.Fatalf("Expected %s but got %s", tc.expectedDataDir, dataDir)
		}
		count++
	}
}

func Benchmark_mergeXLV2Versions(b *testing.B) {
	data, err := os.ReadFile("testdata/xl.meta-v1.2.zst")
	if err != nil {
		b.Fatal(err)
	}
	dec, _ := zstd.NewReader(nil)
	data, err = dec.DecodeAll(data, nil)
	if err != nil {
		b.Fatal(err)
	}

	var xl xlMetaV2

// See the License for the specific language governing permissions and
// limitations under the License.

package cli

import (
	"fmt"

	corev1 "k8s.io/api/core/v1"
	"k8s.io/apimachinery/pkg/runtime"
	"k8s.io/client-go/rest"
	"k8s.io/client-go/tools/clientcmd"

	"istio.io/istio/istioctl/pkg/util/handlers"
	"istio.io/istio/pkg/cluster"
	"istio.io/istio/pkg/kube"

	// Renames and schedules for purging all bucket metacache.
	go renameAllBucketMetacache(diskPath)
}

// Following error message is added to fix a regression in release
// RELEASE.2018-03-16T22-52-12Z after migrating v1 to v2 to v3. This
// migration failed to capture '.This' field properly which indicates
// the disk UUID association. Below error message is returned when
// we see this situation in format.json, for more info refer

            .expectedValuesPerKey(2)
            .orderValuesBy(Ordering.natural());
    HashHostileComparable v1 = new HashHostileComparable("value1");
    HashHostileComparable v2 = new HashHostileComparable("value2");
    builder.put("key", v1);
    builder.put("key", v2);
    assertThat(builder.build().entries()).hasSize(2);
  }

  public void testBuilder_withImmutableEntry() {

```JSON
{
    "name": "Foo",
    "price": 50.2
}
```

/// info

In Pydantic v1 hieß diese Methode `.dict()`, in Pydantic v2 wurde sie deprecated (aber immer noch unterstützt) und in `.model_dump()` umbenannt.

Die Beispiele hier verwenden `.dict()` für die Kompatibilität mit Pydantic v1, Sie sollten jedoch stattdessen `.model_dump()` verwenden, wenn Sie Pydantic v2 verwenden können.

///

/// info