### ❌ 📨 🆎 ✍

✋️ 🕐❔ 👆 📨 🎏 ❌ 🎚 👈 🚫 ☑ Pydantic 🆎 (✅ 💽 🎚) & 👆 ✍ ⚫️ 💖 👈 🔢, FastAPI 🔜 🔄 ✍ Pydantic 📨 🏷 ⚪️➡️ 👈 🆎 ✍, & 🔜 ❌.

🎏 🔜 🔨 🚥 👆 ✔️ 🕳 💖 <abbr title='A union between multiple types means "any of these types".'>🇪🇺</abbr> 🖖 🎏 🆎 🌐❔ 1️⃣ ⚖️ 🌅 👫 🚫 ☑ Pydantic 🆎, 🖼 👉 🔜 ❌ 👶:

//// tab | 🐍 3️⃣.6️⃣ &amp; 🔛

```Python hl_lines="10"
{!> ../../docs_src/response_model/tutorial003_04.py!}
```

		},
		Data: map[string][]byte{},
		Type: v1.SecretTypeServiceAccountToken,
	}
	if len(caData) > 0 {
		out.Data[v1.ServiceAccountRootCAKey] = []byte(caData)
	}
	if len(token) > 0 {
		out.Data[v1.ServiceAccountTokenKey] = []byte(token)
	}
	return out
}

type fakeOutputWriter struct {
	b           bytes.Buffer
	injectError error
	failAfter   int
}

  TF_Status* status = TF_NewStatus();
  // Create the variable handle.
  TFE_Op* op = TFE_NewOp(ctx, "VarHandleOp", status);
  if (TF_GetCode(status) != TF_OK) return nullptr;
  TFE_OpSetAttrType(op, "dtype", TF_FLOAT);
  TFE_OpSetAttrShape(op, "shape", {}, 0, status);
  TFE_OpSetAttrString(op, "container", "localhost", 0);
  TFE_OpSetAttrString(op, "shared_name", "", 0);
  if (!device_name.empty()) {

mdurl==0.1.2 \
    --hash=sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8 \
    --hash=sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba
    # via markdown-it-py
ml-dtypes==0.4.0 \
    --hash=sha256:03e7cda6ef164eed0abb31df69d2c00c3a5ab3e2610b6d4c42183a43329c72a5 \
    --hash=sha256:2bb83fd064db43e67e67d021e547698af4c8d5c6190f2e9b1c53c09f6ff5531d \

}

// MetricSpec specifies how to scale based on a single metric
// (only `type` and one other matching field should be set at once).
message MetricSpec {
  // type is the type of metric source.  It should be one of "ContainerResource", "External",
  // "Object", "Pods" or "Resource", each mapping to a matching field in the object.
  // Note: "ContainerResource" type is available on when the feature-gate
  // HPAContainerMetrics is enabled

    Set<? extends Class<?>> supertypes = TypeToken.of(clazz).getTypes().rawTypes();
    Map<MethodIdentifier, Method> identifiers = Maps.newHashMap();
    for (Class<?> supertype : supertypes) {
      for (Method method : supertype.getDeclaredMethods()) {
        if (method.isAnnotationPresent(Subscribe.class) && !method.isSynthetic()) {
          // TODO(cgdecker): Should check for a generic parameter type and error out

  }

  private static String paramString(Class<?> type, int i) {
    return type.getSimpleName() + '@' + i;
  }

  /**
   * Annotates a method to be the instance generator of a certain type. The return type is the
   * generated type. The method parameters correspond to the generated type's type parameters. For

  static boolean isCheckedException(Class<? extends Exception> type) {
    return !RuntimeException.class.isAssignableFrom(type);
  }

  @VisibleForTesting
  static void checkExceptionClassValidity(Class<? extends Exception> exceptionClass) {
    checkArgument(
        isCheckedException(exceptionClass),
        "Futures.getChecked exception type (%s) must not be a RuntimeException",
        exceptionClass);

 * the {@link ProjectBuilder} service.
 *
 * @since 4.0.0
 */
@Experimental
@Immutable
public interface ModelBuilderRequest {

    /**
     * The possible request types for building a model.
     */
    enum RequestType {
        /**
         * The request is for building a model from a POM file in a project on the filesystem.
         */
        BUILD_POM,
        /**

Para ver todas as opções possíveis, cheque a documentação para os<a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">tipos exoticos do Pydantic</a>. Você verá alguns exemplos no próximo capitulo.