*/
    private static final ObjectInputFilter DEFAULT_FILTER = filterInfo -> {
        final Class<?> serialClass = filterInfo.serialClass();
        if (serialClass == null) {
            return ObjectInputFilter.Status.UNDECIDED;
        }

        final String className = serialClass.getName();

        // Allow primitive types and their wrappers

     *
     * @param type
     *            the type
     * @param map
     *            a {@link Map} with type variables as keys and type arguments as values for the parameterized type
     * @return a {@link ParameterizedClassDesc} representing the type
     */
    protected static ParameterizedClassDesc createParameterizedClassDesc(final Type type, final Map<TypeVariable<?>, Type> map) {

     * @param type the checksum type to use
     * @param keys map of available Kerberos keys indexed by encryption type
     * @param data the data to calculate the MAC for
     * @return the calculated mac bytes
     * @throws PACDecodingException if the MAC calculation fails or required keys are missing
     */

        require_serial: true
        language: unsupported
        types: [python]

      - id: local-ruff-format
        name: ruff format
        entry: uv run ruff format --force-exclude --exit-non-zero-on-format
        require_serial: true
        language: unsupported
        types: [python]

      - id: local-mypy
        name: mypy check
        entry: uv run mypy fastapi

///

## Usar `Annotated` en el tipo del parámetro `q` { #use-annotated-in-the-type-for-the-q-parameter }

¿Recuerdas que te dije antes que `Annotated` puede usarse para agregar metadatos a tus parámetros en la [Introducción a Tipos de Python](../python-types.md#type-hints-with-metadata-annotations)?

Ahora es el momento de usarlo con FastAPI. 🚀

Teníamos esta anotación de tipo:

```Python

                        "type": "string"
                    },
                    "type": {
                        "title": "Error Type",
                        "type": "string"
                    }
                }
            },
            "HTTPValidationError": {
                "title": "HTTPValidationError",
                "type": "object",
                "properties": {

 * limitations under the License.
 */
package okhttp3.recipes;

import com.squareup.moshi.JsonAdapter;
import com.squareup.moshi.Moshi;
import com.squareup.moshi.Types;
import java.io.IOException;
import java.util.LinkedHashMap;
import java.util.Map;
import okhttp3.Interceptor;
import okhttp3.MediaType;
import okhttp3.OkHttpClient;
import okhttp3.Request;

#include <memory>
#include <string>

#include "tensorflow/c/tf_status_helper.h"
#include "tensorflow/core/framework/tensor_shape.h"
#include "tensorflow/core/platform/status.h"
#include "tensorflow/core/platform/types.h"
#include "tensorflow/core/util/tensor_bundle/tensor_bundle.h"
#include "tensorflow/core/util/tensor_slice_reader.h"

namespace tensorflow {
namespace checkpoint {

class TensorSliceReader;

  virtual absl::Status Shape(tensorflow::PartialTensorShape* shape) const = 0;

  // Returns tensor (full) type.
  // While there is no immediate plan to deprecate dtype and shape in favor
  // of only using full type type information, this is a future possibility.
  //
  // Note that map_dtype_to_child_of_tensor() from core/framework/types.h
  // can be used to set a FullTypeDef based on dtype in a derived class if
  // appropriate.

    }
}
```

只需進行上述宣告，使用 **FastAPI** 你就能獲得：

- 編輯器支援（自動完成等），即使是巢狀模型
- 資料轉換
- 資料驗證
- 自動產生文件

## 特殊型別與驗證 { #special-types-and-validation }

除了 `str`、`int`、`float` 等一般的單一型別外，你也可以使用繼承自 `str` 的更複雜單一型別。

若要查看所有可用選項，請參閱 [Pydantic 的型別總覽](https://docs.pydantic.dev/latest/concepts/types/)。你會在下一章看到一些範例。

例如，在 `Image` 模型中有一個 `url` 欄位，我們可以將其宣告為 Pydantic 的 `HttpUrl`，而不是 `str`：