// Spec is an empty spec. It is here to comply with Kubernetes API style.
  optional StorageVersionSpec spec = 2;

  // API server instances report the version they can decode and the version they
  // encode objects to when persisting objects in the backend.
  optional StorageVersionStatus status = 3;
}

// Describes the state of the storageVersion at a certain point.
message StorageVersionCondition {

      if (dot < limit) {
        result.writeByte('.'.code)
        pos = dot + 1
      } else {
        break
      }
    }

    return result.readUtf8()
  }

  /**
   * Converts a single label from Punycode to Unicode.
   *
   * @return true if the range of [string] from [pos] to [limit] was valid and decoded successfully.
   *     Otherwise, the decode failed.
   */
  private fun decodeLabel(

//
// 	{
// 		"kind":"MyAPIObject",
// 		"apiVersion":"v1",
// 		"myPlugin": {
// 			"kind":"PluginA",
// 			"aOption":"foo",
// 		},
// 	}
//
// So what happens? Decode first uses json or yaml to unmarshal the serialized data into
// your external MyAPIObject. That causes the raw JSON to be stored, but not unpacked.
// The next step is to copy (using pkg/conversion) into the internal struct. The runtime

    the proxy selectors are different. Ugh!


## Version 4.2.0

_2019-09-10_

 *  New: API to decode a certificate and private key to create a `HeldCertificate`. This accepts a
    string containing both a certificate and PKCS #8-encoded private key.

    ```kotlin
    val heldCertificate = HeldCertificate.decode("""
        |-----BEGIN CERTIFICATE-----
        |MIIBYTCCAQegAwIBAgIBKjAKBggqhkjOPQQDAjApMRQwEgYDVQQLEwtlbmdpbmVl

    {!> ../../../docs_src/security/tutorial004.py!}
    ```

## Update the dependencies

Update `get_current_user` to receive the same token as before, but this time, using JWT tokens.

Decode the received token, verify it, and return the current user.

If the token is invalid, return an HTTP error right away.

=== "Python 3.10+"

    ```Python hl_lines="89-106"

    *   New endpoints in `tf.dtypes` namespace: `tf.dtypes.as_string`.
    *   New endpoints in `tf.io` namespace: `tf.io.decode_base64`,
        `tf.io.decode_compressed`, `tf.io.decode_json_example`,
        `tf.io.decode_raw`, `tf.io.encode_base64`, `tf.io.matching_files`,
        `tf.io.parse_tensor`, `tf.io.read_file,`tf.io.write_file`.
    *   New endpoints in tf.linalg namespace: `tf.linalg.cross`,

        return null // Nothing to do.
      }

      val now = backend.nanoTime()
      var minDelayNanos = Long.MAX_VALUE
      var readyTask: Task? = null
      var multipleReadyTasks = false

      // Decide what to run. This loop's goal wants to:
      //  * Find out what this thread should do (either run a task or sleep)
      //  * Find out if there's enough work to start another thread.

-   Once the tests pass, we now bring all the code into the internal code base,
    using a job called "copybara".

**5. Copy to Google Internal codebase and run internal CI**

-   Once the PR is in the Google codebase, we make sure it integrates well with
    its dependencies and the rest of the system.
-   Rarely, If the tests fail at this stage, we cannot merge the code.

* <a href="https://github.com/sponsors/samuelcolvin" class="external-link" target="_blank">Samuel Colvin (Pydantic)</a>
* <a href="https://github.com/sponsors/encode" class="external-link" target="_blank">Encode (Starlette, Uvicorn)</a>

---

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