"""
            ),
        ] = True,
    ):
        if not scopes:
            scopes = {}
        flows = OAuthFlowsModel(
            password=cast(Any, {"tokenUrl": tokenUrl, "scopes": scopes})
        )
        super().__init__(
            flows=flows,
            scheme_name=scheme_name,
            description=description,
            auto_error=auto_error,
        )

  // +optional
  optional string type = 1;

  // Rolling update config params. Present only if type = "RollingUpdate".
  // ---
  // TODO: Update this to follow our convention for oneOf, whatever we decide it
  // to be. Same as Deployment `strategy.rollingUpdate`.
  // See https://github.com/kubernetes/kubernetes/issues/35345
  // +optional

	// namespaced). As such, the regex has been relaxed to simply find the pod UID
	// followed by the container ID with allowances for arbitrary punctuation, and
	// container runtime prefixes, etc.
	regexp.MustCompile(`` +
		// "pod"-prefixed Pod UID (with punctuation separated groups) followed by punctuation

which could allow them to execute arbitrary code on the system running
TensorFlow.

It is important to keep TensorFlow up to date with the latest security patches
and follow the sandboxing guideline above to protect against these types of
vulnerabilities.

## Security properties of execution modes

TensorFlow has several execution modes, with Eager-mode being the default in v2.

multiple smaller chunks. A client can specify a limit to the number of results to return. If more results exist, a token is returned that allows the client to continue the previous list call repeatedly until all results are retrieved.  The resulting list is identical to a list call that does not perform chunking, thanks to capabilities provided by etcd3.  This allows the server to use less memory and CPU when very large lists are returned. This feature is gated as APIListChunking and is not enabled by...

We use *Specification* and *Discovery* documents stored in Google Drive, but they present some downsides:

* They are rarely updated after creation and initial review, and then become hard to follow, especially after important decisions are made
* They are not synced with the code to reflect the eventual solution that is committed
* Google Docs is not a "code-oriented" tool, like asciidoc can be

  // `StartExecute`s will deadlock).
  //
  // If `is_async=false` (constructor argument), `cancellation_manager` must
  // live until `Join` finishes. If `is_async=true` it must live until `Join` is
  // followed by `TFE_ContextAsyncWait` to clear pending operations. It will be
  // used to cancel all other operations if any fails.
  //
  // Set step_id to configure the step id used for rendezvous creation. step id

   * this method returns a {@link List}, instead of the {@link java.util.Collection} specified in
   * the {@link Multimap} interface.
   */
  @Override
  List<V> get(@ParametricNullness K key);

  /**
   * {@inheritDoc}
   *
   * <p>Because the values for a given key may have duplicates and follow the insertion ordering,

   * this method returns a {@link List}, instead of the {@link java.util.Collection} specified in
   * the {@link Multimap} interface.
   */
  @Override
  List<V> get(@ParametricNullness K key);

  /**
   * {@inheritDoc}
   *
   * <p>Because the values for a given key may have duplicates and follow the insertion ordering,

        bytesOut.writeUtf8("\r\n")
        bytesOut.write(body, chunkSize)
        bytesOut.writeUtf8("\r\n")
      }
      bytesOut.writeUtf8("0\r\n") // Last chunk. Trailers follow!
      this.body = bytesOut.toMockResponseBody()
    }

    /**
     * Sets the response body to the UTF-8 encoded bytes of [body],
     * chunked every [maxChunkSize] bytes.
     */
    fun chunkedBody(