}

    ReleasedVersion releasedVersion(String version, long date = System.currentTimeMillis()) {
        new ReleasedVersion(version, format.format(new Date(date)))
    }

    ReleasedVersion snapshot(String baseVersion, long date = System.currentTimeMillis()) {
        releasedVersion("${baseVersion}-${format.format(new Date(date))}", date)
    }

如果你寫帶有 Python 型別的程式碼：

```python
from datetime import date

from pydantic import BaseModel

# 宣告一個變數為 string
# 並在函式中獲得 editor support
def main(user_id: str):
    return user_id


# 宣告一個 Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```


可以像這樣來使用：

```python

     * @param key The key to use associate the data with, must not be {@code null}.
     * @param data The data to store in the cache, may be {@code null}.
     */
    void put(RepositoryRequest request, Object key, Object data);

    /**
     * Gets the specified data from the cache. <strong>Warning:</strong> The cache will directly return the saved

		// (6) Should error if the request is not ready yet, ie X-Amz-Date is in the future.
		{
			queryParams: map[string]string{
				"X-Amz-Algorithm":      signV4Algorithm,
				"X-Amz-Date":           now.Add(1 * time.Hour).Format(iso8601Format),
				"X-Amz-Expires":        "60",
				"X-Amz-Signature":      "badsignature",
				"X-Amz-SignedHeaders":  "host;x-amz-content-sha256;x-amz-date",

	errTransitionInvalidDate     = Errorf("Date must be provided in ISO 8601 format")
	errTransitionInvalid         = Errorf("Exactly one of Days (0 or greater) or Date (positive ISO 8601 format) should be present in Transition.")
	errTransitionDateNotMidnight = Errorf("'Date' must be at midnight GMT")
)

// TransitionDate is a embedded type containing time.Time to unmarshal
// Date in Transition
type TransitionDate struct {
	time.Time

Puedes usar el `jsonable_encoder` para convertir los datos de entrada en datos que se puedan almacenar como JSON (por ejemplo, con una base de datos NoSQL). Por ejemplo, convirtiendo `datetime` a `str`.

{* ../../docs_src/body_updates/tutorial001_py310.py hl[28:33] *}

`PUT` se usa para recibir datos que deben reemplazar los datos existentes.

### Advertencia sobre el reemplazo { #warning-about-replacing }

  /**
   * A chunk of response data corresponding to a pushed request.  This data must either be read or
   * skipped.
   *
   * @param streamId server-initiated stream ID: an even number.
   * @param source location of data corresponding with this stream ID.
   * @param byteCount number of bytes to read or skip from the source.
   * @param last when true, there are no data frames to follow.
   */
  @Throws(IOException::class)
  fun onData(

 *               operations. May be null for top-level requests.
 * @param data Additional data associated with this request trace, typically containing the actual request
 *             object being processed or any application-specific state information. May be null if no
 *             additional data is needed.
 */
public record RequestTrace(
        @Nullable String context,

   * for the data format.
   */
  static <K extends @Nullable Object, V extends @Nullable Object> void populateMap(
      Map<K, V> map, ObjectInputStream stream, int size)
      throws IOException, ClassNotFoundException {
    for (int i = 0; i < size; i++) {
      @SuppressWarnings("unchecked") // reading data stored by writeMap
      K key = (K) stream.readObject();

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

This works the same way as with Pydantic models. And it is actually achieved in the same way underneath, using Pydantic.

/// info