// "Current" indicates the discovery document was recently
  // refreshed. "Stale" indicates the discovery document could not
  // be retrieved and the returned discovery document may be
  // significantly out of date. Clients that require the latest
  // version of the discovery information be retrieved before
  // performing an operation should not use the aggregated document
  optional string freshness = 3;

#
# The cascade of load() statements and tf_workspace?() calls works around the
# restriction that load() statements need to be at the top of .bzl files.
# E.g. we can not retrieve a new repository with http_archive and then load()
# a macro from that repository in the same file.
load("@//tensorflow:workspace3.bzl", "tf_workspace3")

tf_workspace3()

The new [Request.CookiesNamed] method retrieves all cookies that match the given name....

 * limitations under the License.
 */
package okhttp3

import java.io.IOException
import java.util.concurrent.TimeUnit

/**
 * Records received HTTP responses so they can be later retrieved by tests.
 */
class RecordingCallback : Callback {
  private val responses = mutableListOf<RecordedResponse>()

  @Synchronized
  override fun onFailure(
    call: Call,
    e: IOException,
  ) {

    {!> ../../../docs_src/body_updates/tutorial002.py!}
    ```

### Partial updates recap

In summary, to apply partial updates you would:

* (Optionally) use `PATCH` instead of `PUT`.
* Retrieve the stored data.
* Put that data in a Pydantic model.
* Generate a `dict` without default values from the input model (using `exclude_unset`).

  - LDAP/AD users and their respective service accounts
  - OpenID/OIDC service accounts

- On versioned buckets, FTP/SFTP only operates on latest objects, if you need to retrieve
  an older version you must use an `S3 API client` such as [`mc`](https://github.com/minio/mc).

- All features currently used by your buckets will work as is without any changes
  - SSE (Server Side Encryption)