([#69099](https://github.com/kubernetes/kubernetes/pull/69099), [@ehashman](https://github.com/ehashman))

## Deprecations

- kubectl
  - `kubectl convert` is deprecated and will be removed in v1.17.

                    handle.close();
                }
            }
        }
    }

    /**
     * Converts an RPC sid_t structure to a byte array.
     *
     * @param sid the RPC sid_t structure to convert
     * @return byte array representation of the SID
     */
    public static byte[] toByteArray(final rpc.sid_t sid) {
        final byte[] dst = new byte[1 + 1 + 6 + sid.sub_authority_count * 4];
        int di = 0;

        addr[1] = (byte) (address >>> 16 & 0xFF);
        addr[2] = (byte) (address >>> 8 & 0xFF);
        addr[3] = (byte) (address & 0xFF);
        return addr;
    }

    /**
     * To convert this address to an <code>InetAddress</code>.
     *
     * @return the {@link java.net.InetAddress} representation of this address.
     * @throws UnknownHostException if the address cannot be resolved
     */

	},
	ErrCastFailed: {
		Code:           "CastFailed",
		Description:    "Attempt to convert from one data type to another using CAST failed in the SQL expression.",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrInvalidCast: {
		Code:           "InvalidCast",
		Description:    "Attempt to convert from one data type to another using CAST failed in the SQL expression.",
		HTTPStatusCode: http.StatusBadRequest,

   * generated by {@code factory}. Most users should prefer {@link MultimapBuilder}, though a small
   * number of users will need this method to cover map or collection types that {@link
   * MultimapBuilder} does not support.
   *
   * <p><b>Warning: do not use</b> this method when the collections returned by {@code factory}

Ele não consegue lidar muito bem com modelos aninhados. Então, se o corpo JSON na requisição for um objeto JSON que contém campos internos que por sua vez são objetos JSON aninhados, ele não consegue ser documentado e validado apropriadamente.

/// check | **FastAPI** inspirado para

Usar tipos do Python para ter um ótimo suporte do editor.

        "//learning/pathways/...",
        "//learning/serving/contrib/tfrt/mlir/canonical_ops/...",
        "//learning/serving/experimental/remote_predict/...",
        "//perftools/accelerators/xprof/convert/...",
        "//perftools/accelerators/xprof/integration_tests/...",
        "//smartass/brain/...",
        "//tensorflow/...",
        "//tensorflow_decision_forests/...",
        "//tensorflow_federated/...",

   * 0x1213141516171819L} would yield the byte array {@code {0x12, 0x13, 0x14, 0x15, 0x16, 0x17,
   * 0x18, 0x19}}.
   *
   * <p>If you need to convert and concatenate several values (possibly even of different types),
   * use a shared {@link java.nio.ByteBuffer} instance, or use {@link
   * com.google.common.io.ByteStreams#newDataOutput()} to get a growable buffer.
   */

	srcOpts, err = copySrcOpts(ctx, r, srcBucket, srcObject)
	if err != nil {
		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}
	srcOpts.VersionID = vid

	// convert copy src and dst encryption options for GET/PUT calls
	getOpts := ObjectOptions{VersionID: srcOpts.VersionID}
	if srcOpts.ServerSideEncryption != nil {
		getOpts.ServerSideEncryption = encrypt.SSE(srcOpts.ServerSideEncryption)

!important;\n}\n\n.float-end {\n  float: right !important;\n}\n\n.float-none {\n  float: none !important;\n}\n\n.object-fit-contain {\n  -o-object-fit: contain !important;\n  object-fit: contain !important;\n}\n\n.object-fit-cover {\n  -o-object-fit: cover !important;\n  object-fit: cover !important;\n}\n\n.object-fit-fill {\n  -o-object-fit: fill !important;\n  object-fit: fill !important;\n}\n\n.object-fit-scale {\n  -o-object-fit: scale-down !important;\n  object-fit: scale-down !important;\n}\n\n.object-fit-none...